Composite Al Market

Composite Al Market Size, Share, Growth Analysis, By Offering:(Hardware, Processors), By Technique:(Conditioned Monitoring, Pattern Recognition), By Application:(Product Design & Development, Quality Control), By Vertical:(BFSI, Retail and eCommerce), By Region:(North America, US) - Industry Forecast 2024-2031

Report ID: UCMIG45E2209 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

Composite Al Market Insights

Market Overview:

According to estimates, the Composite AI Market would increase at a CAGR of 36.5% from USD 0.9 billion in 2023 to USD 4.4 billion by 2028. the main forces are AI applications are becoming more complex to improve performance and accuracy. a rise in the desire for more individualized and adaptable solutions to boost productivity and efficiency, improvements in hardware and infrastructure that allow for greater scalability, increasing use of composite AI for applications in particular industries

Composite Al Market, Forecast & Y-O-Y Growth Rate, 2020 - 2028
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This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.

Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Application Software by segment aggregation, the contribution of the Application Software in Software & Services and vendor share.

To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

Segmentation Analysis:

The Composite Al Market is segmented by Offering:, Technique:, Application:, Vertical:, Region:. We are analyzing the market of these segments to identify which segment is the largest now and in the future, which segment has the highest growth rate, and the segment which offers the opportunity in the future.

Composite Al Market Basis Point Share Analysis, 2021 Vs. 2028
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  • Based on Offering: the market is segmented as, Hardware, Processors, Memory Units, Networks, Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs)), Software, AI Development Platforms and Tools, ML Frameworks, AI Middleware, Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools), Services, Training and Consulting, System Integration and Implementation, Support and Maintenance
  • Based on Technique: the market is segmented as, Conditioned Monitoring, Pattern Recognition, Data Processing, Proactive Mechanism, Data Mining & Machine Learning, Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning)
  • Based on Application: the market is segmented as, Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance, Customer Service, Other Applications (Fraud Detection & prevention, and Supply Chain Management)
  • Based on Vertical: the market is segmented as, BFSI, Retail and eCommerce, Manufacturing, Energy and Utilities, Transportation and Logistics, Healthcare and Life Sciences, Media and Entertainment, Government and Defense, Telecom, Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education)
  • Based on Region: the market is segmented as, North America, US, Canada, Europe, UK, Germany, France, Italy, Spain, Rest of Europe, Asia Pacific, China, Japan, India, South Korea, ANZ, ASEAN Countries, Rest of Asia Pacific, Middle East & Africa, UAE, Saudi Arabia, Israel, South Africa, Rest of Middle East & Africa, Latin America, Brazil, Mexico, Argentina, Rest of Latin America, KEY MARKET PLAYERS, IBM, SAS Institute, Microsoft, Google, AWS, Salesforce, BlackSwan Technologies, Oracle, OpenText, SAP, HPE, Pega s, NVIDIA, Intel, UiPath, Zest AI, Dynamic Yield, DataRobot, H2O.ai, Squirro, CognitiveScale, SparkCognition, Diwo, ACTICO, Kyndi, Nauto, Netra

Regional Analysis:

Composite Al Market is being analyzed by North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA) regions. Key countries including the U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, and South Africa among others were analyzed considering various micro and macro trends.

Composite Al Market Attractiveness Analysis, By Region 2020-2028
AttractivenessAnalysis
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Composite Al Market : Risk Analysis

SkyQuest's expert analysts have conducted a risk analysis to understand the impact of external extremities on Composite Al Market. We analyzed how geopolitical influence, natural disasters, climate change, legal scenario, economic impact, trade & economic policies, social & ethnic concerns, and demographic changes might affect Composite Al Market's supply chain, distribution, and total revenue growth.

Competitive landscaping:

To understand the competitive landscape, we are analyzing key Composite Al Market vendors in the market. To understand the competitive rivalry, we are comparing the revenue, expenses, resources, product portfolio, region coverage, market share, key initiatives, product launches, and any news related to the Composite Al Market.

To validate our hypothesis and validate our findings on the market ecosystem, we are also conducting a detailed porter's five forces analysis. Competitive Rivalry, Supplier Power, Buyer Power, Threat of Substitution, and Threat of New Entry each force is analyzed by various parameters governing those forces.

Key Players Covered in the Report:

  • te AI Market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors offer opportunities to the end users to leverage composite AI solutions. Moreover, the growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity boost the market growth in coming years.
  • The composite AI market report covers the composite AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI ethics, and responsible AI. Some of the key findings from the technology roadmap include:
  • Composite AI Market Short-term Technology Roadmap (2023-2025)
  • Advancements in explainable AI to foster trust in Composite AI solutions
  • Commercialization of Composite AI enhancing human intelligence in a wide range of applications
  • Composite AI Market Mid-term Technology Roadmap (2026-2028)
  • Development of AI ethics and responsible AI to shape the development, deployment, and adoption of composite AI solutions in the market
  • Integration of personalized AI assistants with Composite AI solutions to provide tailored and intelligent experiences to users
  • Composite AI Market Long-term Technology Roadmap (2029-2030)
  • Advanced neural networks and models for developing intelligent and effective composite AI applications across a wide range of industries and use cases
  • The emergence of next-generation composite AI platforms
  • Composite AI Market Growth Dynamics
  • Driver: Growing intricacy of AI applications for better performance and accuracy
  • AI applications are becoming more complex, requiring the integration of multiple AI technologies and models to solve intricate problems. Currently, organizations are facing the reality that training a massive neural network using ML does not always scale to solve problems of increased complexity. The pure ML approach works for many classification and recognition tasks but is not always sufficient for solving deeper understanding problems. ML also generates an unending need for training data and computation power. Composite AI solutions provide a way to leverage the strengths of different AI algorithms and components, enabling organizations to tackle complex challenges and achieve better performance. Furthermore, composite AI solutions can leverage the strengths of various AI models and algorithms, resulting in improved performance and accuracy compared to standalone AI approaches. Organizations can achieve more robust and precise results by combining different techniques, leading to enhanced decision-making and problem-solving capabilities.
  • Restraint: Concerns related to data privacy and security
  • Some organizations may hesitate to adopt composite AI solutions due to lacking trust in AI technology or a limited understanding of its capabilities and limitations. Concerns about data privacy, security, and potential biases in AI models can also create obstacles to implementation. The main privacy concerns around AI comprises of data breaches and unauthorized access to personal information. The collected data is collected and then processed to gain key insights which lead to the rise in high risk as it may fall into the wrong hands and can cause that data to get breached easily. . With the advancements in AI technology pave the way for more increase in the data breaches and security issues. For instance, generative AI technology can be exploited to create fake profiles or misused to generate unauthorized images. As per the latest stats, cybercrimes affect the security of 80% of businesses worldwide, and personal data falling into the wrong hands can have severe consequences.
  • Opportunity: Integration with edge computing and IoT for real-time decision-making
  • The proliferation of Internet of Things (IoT) devices and the need for real-time decision-making are driving the adoption of edge computing. Composite AI solutions integrated with edge devices can process and analyze data locally, reducing latency and enabling faster insights and responses. This integration presents opportunities for deploying composite AI solutions in edge computing environments. Edge computing is the key support for intelligent applications and 5G/6G Internet of Things (IoT) networks. It offers various advantages such as low latency, fast response, context-aware services, mobility, and privacy preservation. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. The adoption of new emerging technologies such as IoT, wireless sensor networks (WSNs), cloud/edge computing, and 5G/6G communication networks in various fields such as healthcare, agriculture, education, and transportation can bring many opportunities in improving people’s quality of life, thus building intelligent systems that deliver high-quality, innovative services to the consumers. In the IoT environment, many interconnected devices, such as sensors, mobiles, and memory units, lead to voluminous, heterogeneous, highly noisy, spatiotemporal-correlated, and real-time data streams that need intelligent learning for efficient data analysis and meaningful insight extraction.
  • Challenge: Data availability and quality
  • Composite AI solutions heavily rely on large and diverse datasets to train and optimize models. However, organizations may face challenges acquiring high-quality, labeled, and relevant data, especially for specific use cases or industries. Data privacy concerns and regulatory restrictions further complicate data access and sharing. The availability of high-quality data is considered critical, as it is used to train AI algorithms. When developing AI applications that can deliver value, the quality of the data fed into such algorithms is of great importance. Moreover, biased data during labeling and training can potentially result in biased AI applications, posing significant challenges to practitioners in leveraging their data assets into AI applications.
  • By offering, hardware to register at the highest CAGR during the forecast period
  • Composite AI hardware comprises hardware components and infrastructure that support the implementation and execution of composite AI solutions. It involves utilizing specialized hardware devices, processors, accelerators, and infrastructure configurations designed to handle composite AI workloads' computational requirements and complexities. Composite AI hardware plays a crucial role in enabling the efficient processing and execution of various AI models, algorithms, and techniques that are integrated within a composite AI solution. These hardware components are optimized to handle the computational demands of tasks such as machine learning, deep learning, natural language processing, computer vision, and more.
  • By application, product design & development to account for the largest market size during the forecast period
  • Product design and development business applications plays a crucial role in implementing composite AI solutions in the market. Product design & development applications provide tools and functionalities to generate innovative ideas and concepts. These applications enable businesses to explore new product possibilities and identify areas where composite AI can add value. Using composite AI in product design & development offers significant benefits for companies looking to enhance their product development capabilities, reduce costs, and bring innovative products to market more efficiently.
  • North America to account for the largest market size during the forecast period
  • North America is a leading region in adopting and growing composite AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of composite AI solutions in this region. Major industries such as healthcare, BFSI, retail, and manufacturing embrace composite AI to drive innovation, enhance customer experiences, and improve operational efficiency. . These factors are also responsible for adopting composite AI solutions across the region. Moreover, various industry verticals, such as telecom, healthcare, media and entertainment, retail and eCommerce, and BFSI, are leveraging composite AI solutions to enhance productivity and better performance.
  • Recent Developments:
  • In April 2023, Amazon SageMaker announced Collections, a new capability to organize machine learning models in the Amazon SageMaker Model Registry. Collections may gather relevant registered models and organize them hierarchically to improve model discoverability at scale.
  • In July 2022, AWS partnered with Hugging Face to make it easier for companies to leverage state-of-the-art machine learning models, and ship cutting-edge NLP features faster. Through this partnership, Hugging Face is leveraging Amazon Web Services as its preferred cloud provider to deliver customer services.
  • In May 2022, BlackSwan Technologies and Refinitiv entered a strategic agreement. The agreement enables next-generation customer risk assessment through an advanced compliance solution incorporating comprehensive financial crime data and ground-breaking AI technologies for KYC, transaction monitoring, and screening.
  • In March 2022, Microsoft announced the acquisition of Nuance. This acquisition will offer customers improved consumer, patient, clinician, and employee experiences and better productivity and financial results.
  • In September 2021, SAS announced an expansion for its SAS Viya platform, which analyzes data and builds AI models.
  • KEY MARKET SEGMENTS
  • By Offering:
  • Hardware
  • Processors
  • Memory Units
  • Networks
  • Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs))
  • Software
  • AI Development Platforms and Tools
  • ML Frameworks
  • AI Middleware
  • Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools)
  • Services
  • Training and Consulting
  • System Integration and Implementation
  • Support and Maintenance
  • By Technique:
  • Conditioned Monitoring
  • Pattern Recognition
  • Data Processing
  • Proactive Mechanism
  • Data Mining & Machine Learning
  • Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning)
  • By Application:
  • Product Design & Development
  • Quality Control
  • Predictive Maintenance
  • Security & Surveillance
  • Customer Service
  • Other Applications (Fraud Detection & prevention, and Supply Chain Management)
  • By Vertical:
  • BFSI
  • Retail and eCommerce
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Healthcare and Life Sciences
  • Media and Entertainment
  • Government and Defense
  • Telecom
  • Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education)
  • By Region:
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • ASEAN Countries
  • Rest of Asia Pacific
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • Israel
  • South Africa
  • Rest of Middle East & Africa
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • SAS Institute
  • Microsoft
  • Google
  • AWS
  • Salesforce
  • BlackSwan Technologies
  • Oracle
  • OpenText
  • SAP
  • HPE
  • Pega s
  • NVIDIA
  • Intel
  • UiPath
  • Zest AI
  • Dynamic Yield
  • DataRobot
  • H2O.ai
  • Squirro
  • CognitiveScale
  • SparkCognition
  • Diwo
  • ACTICO
  • Kyndi
  • Nauto
  • Netra
  • Exponential AI

SkyQuest's Expertise:

The Composite Al Market is being analyzed by SkyQuest's analysts with the help of 20+ scheduled Primary interviews from both the demand and supply sides. We have already invested more than 250 hours on this report and are still refining our date to provide authenticated data to your readers and clients. Exhaustive primary and secondary research is conducted to collect information on the market, peer market, and parent market.

Our cross-industry experts and revenue-impact consultants at SkyQuest enable our clients to convert market intelligence into actionable, quantifiable results through personalized engagement.

Scope Of Report

Report Attribute Details
The base year for estimation 2021
Historical data 2016 – 2022
Forecast period 2022 – 2028
Report coverage Revenue forecast, volume forecast, company ranking, competitive landscape, growth factors, and trends, Pricing Analysis
Segments covered
  • By Offering: - Hardware, Processors, Memory Units, Networks, Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs)), Software, AI Development Platforms and Tools, ML Frameworks, AI Middleware, Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools), Services, Training and Consulting, System Integration and Implementation, Support and Maintenance
  • By Technique: - Conditioned Monitoring, Pattern Recognition, Data Processing, Proactive Mechanism, Data Mining & Machine Learning, Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning)
  • By Application: - Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance, Customer Service, Other Applications (Fraud Detection & prevention, and Supply Chain Management)
  • By Vertical: - BFSI, Retail and eCommerce, Manufacturing, Energy and Utilities, Transportation and Logistics, Healthcare and Life Sciences, Media and Entertainment, Government and Defense, Telecom, Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education)
  • By Region: - North America, US, Canada, Europe, UK, Germany, France, Italy, Spain, Rest of Europe, Asia Pacific, China, Japan, India, South Korea, ANZ, ASEAN Countries, Rest of Asia Pacific, Middle East & Africa, UAE, Saudi Arabia, Israel, South Africa, Rest of Middle East & Africa, Latin America, Brazil, Mexico, Argentina, Rest of Latin America, KEY MARKET PLAYERS, IBM, SAS Institute, Microsoft, Google, AWS, Salesforce, BlackSwan Technologies, Oracle, OpenText, SAP, HPE, Pega s, NVIDIA, Intel, UiPath, Zest AI, Dynamic Yield, DataRobot, H2O.ai, Squirro, CognitiveScale, SparkCognition, Diwo, ACTICO, Kyndi, Nauto, Netra
Regional scope North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
Country scope U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, South Africa
Key companies profiled
  • te AI Market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors offer opportunities to the end users to leverage composite AI solutions. Moreover, the growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity boost the market growth in coming years.
  • The composite AI market report covers the composite AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI ethics, and responsible AI. Some of the key findings from the technology roadmap include:
  • Composite AI Market Short-term Technology Roadmap (2023-2025)
  • Advancements in explainable AI to foster trust in Composite AI solutions
  • Commercialization of Composite AI enhancing human intelligence in a wide range of applications
  • Composite AI Market Mid-term Technology Roadmap (2026-2028)
  • Development of AI ethics and responsible AI to shape the development, deployment, and adoption of composite AI solutions in the market
  • Integration of personalized AI assistants with Composite AI solutions to provide tailored and intelligent experiences to users
  • Composite AI Market Long-term Technology Roadmap (2029-2030)
  • Advanced neural networks and models for developing intelligent and effective composite AI applications across a wide range of industries and use cases
  • The emergence of next-generation composite AI platforms
  • Composite AI Market Growth Dynamics
  • Driver: Growing intricacy of AI applications for better performance and accuracy
  • AI applications are becoming more complex, requiring the integration of multiple AI technologies and models to solve intricate problems. Currently, organizations are facing the reality that training a massive neural network using ML does not always scale to solve problems of increased complexity. The pure ML approach works for many classification and recognition tasks but is not always sufficient for solving deeper understanding problems. ML also generates an unending need for training data and computation power. Composite AI solutions provide a way to leverage the strengths of different AI algorithms and components, enabling organizations to tackle complex challenges and achieve better performance. Furthermore, composite AI solutions can leverage the strengths of various AI models and algorithms, resulting in improved performance and accuracy compared to standalone AI approaches. Organizations can achieve more robust and precise results by combining different techniques, leading to enhanced decision-making and problem-solving capabilities.
  • Restraint: Concerns related to data privacy and security
  • Some organizations may hesitate to adopt composite AI solutions due to lacking trust in AI technology or a limited understanding of its capabilities and limitations. Concerns about data privacy, security, and potential biases in AI models can also create obstacles to implementation. The main privacy concerns around AI comprises of data breaches and unauthorized access to personal information. The collected data is collected and then processed to gain key insights which lead to the rise in high risk as it may fall into the wrong hands and can cause that data to get breached easily. . With the advancements in AI technology pave the way for more increase in the data breaches and security issues. For instance, generative AI technology can be exploited to create fake profiles or misused to generate unauthorized images. As per the latest stats, cybercrimes affect the security of 80% of businesses worldwide, and personal data falling into the wrong hands can have severe consequences.
  • Opportunity: Integration with edge computing and IoT for real-time decision-making
  • The proliferation of Internet of Things (IoT) devices and the need for real-time decision-making are driving the adoption of edge computing. Composite AI solutions integrated with edge devices can process and analyze data locally, reducing latency and enabling faster insights and responses. This integration presents opportunities for deploying composite AI solutions in edge computing environments. Edge computing is the key support for intelligent applications and 5G/6G Internet of Things (IoT) networks. It offers various advantages such as low latency, fast response, context-aware services, mobility, and privacy preservation. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. The adoption of new emerging technologies such as IoT, wireless sensor networks (WSNs), cloud/edge computing, and 5G/6G communication networks in various fields such as healthcare, agriculture, education, and transportation can bring many opportunities in improving people’s quality of life, thus building intelligent systems that deliver high-quality, innovative services to the consumers. In the IoT environment, many interconnected devices, such as sensors, mobiles, and memory units, lead to voluminous, heterogeneous, highly noisy, spatiotemporal-correlated, and real-time data streams that need intelligent learning for efficient data analysis and meaningful insight extraction.
  • Challenge: Data availability and quality
  • Composite AI solutions heavily rely on large and diverse datasets to train and optimize models. However, organizations may face challenges acquiring high-quality, labeled, and relevant data, especially for specific use cases or industries. Data privacy concerns and regulatory restrictions further complicate data access and sharing. The availability of high-quality data is considered critical, as it is used to train AI algorithms. When developing AI applications that can deliver value, the quality of the data fed into such algorithms is of great importance. Moreover, biased data during labeling and training can potentially result in biased AI applications, posing significant challenges to practitioners in leveraging their data assets into AI applications.
  • By offering, hardware to register at the highest CAGR during the forecast period
  • Composite AI hardware comprises hardware components and infrastructure that support the implementation and execution of composite AI solutions. It involves utilizing specialized hardware devices, processors, accelerators, and infrastructure configurations designed to handle composite AI workloads' computational requirements and complexities. Composite AI hardware plays a crucial role in enabling the efficient processing and execution of various AI models, algorithms, and techniques that are integrated within a composite AI solution. These hardware components are optimized to handle the computational demands of tasks such as machine learning, deep learning, natural language processing, computer vision, and more.
  • By application, product design & development to account for the largest market size during the forecast period
  • Product design and development business applications plays a crucial role in implementing composite AI solutions in the market. Product design & development applications provide tools and functionalities to generate innovative ideas and concepts. These applications enable businesses to explore new product possibilities and identify areas where composite AI can add value. Using composite AI in product design & development offers significant benefits for companies looking to enhance their product development capabilities, reduce costs, and bring innovative products to market more efficiently.
  • North America to account for the largest market size during the forecast period
  • North America is a leading region in adopting and growing composite AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of composite AI solutions in this region. Major industries such as healthcare, BFSI, retail, and manufacturing embrace composite AI to drive innovation, enhance customer experiences, and improve operational efficiency. . These factors are also responsible for adopting composite AI solutions across the region. Moreover, various industry verticals, such as telecom, healthcare, media and entertainment, retail and eCommerce, and BFSI, are leveraging composite AI solutions to enhance productivity and better performance.
  • Recent Developments:
  • In April 2023, Amazon SageMaker announced Collections, a new capability to organize machine learning models in the Amazon SageMaker Model Registry. Collections may gather relevant registered models and organize them hierarchically to improve model discoverability at scale.
  • In July 2022, AWS partnered with Hugging Face to make it easier for companies to leverage state-of-the-art machine learning models, and ship cutting-edge NLP features faster. Through this partnership, Hugging Face is leveraging Amazon Web Services as its preferred cloud provider to deliver customer services.
  • In May 2022, BlackSwan Technologies and Refinitiv entered a strategic agreement. The agreement enables next-generation customer risk assessment through an advanced compliance solution incorporating comprehensive financial crime data and ground-breaking AI technologies for KYC, transaction monitoring, and screening.
  • In March 2022, Microsoft announced the acquisition of Nuance. This acquisition will offer customers improved consumer, patient, clinician, and employee experiences and better productivity and financial results.
  • In September 2021, SAS announced an expansion for its SAS Viya platform, which analyzes data and builds AI models.
  • KEY MARKET SEGMENTS
  • By Offering:
  • Hardware
  • Processors
  • Memory Units
  • Networks
  • Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs))
  • Software
  • AI Development Platforms and Tools
  • ML Frameworks
  • AI Middleware
  • Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools)
  • Services
  • Training and Consulting
  • System Integration and Implementation
  • Support and Maintenance
  • By Technique:
  • Conditioned Monitoring
  • Pattern Recognition
  • Data Processing
  • Proactive Mechanism
  • Data Mining & Machine Learning
  • Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning)
  • By Application:
  • Product Design & Development
  • Quality Control
  • Predictive Maintenance
  • Security & Surveillance
  • Customer Service
  • Other Applications (Fraud Detection & prevention, and Supply Chain Management)
  • By Vertical:
  • BFSI
  • Retail and eCommerce
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Healthcare and Life Sciences
  • Media and Entertainment
  • Government and Defense
  • Telecom
  • Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education)
  • By Region:
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • ASEAN Countries
  • Rest of Asia Pacific
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • Israel
  • South Africa
  • Rest of Middle East & Africa
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • SAS Institute
  • Microsoft
  • Google
  • AWS
  • Salesforce
  • BlackSwan Technologies
  • Oracle
  • OpenText
  • SAP
  • HPE
  • Pega s
  • NVIDIA
  • Intel
  • UiPath
  • Zest AI
  • Dynamic Yield
  • DataRobot
  • H2O.ai
  • Squirro
  • CognitiveScale
  • SparkCognition
  • Diwo
  • ACTICO
  • Kyndi
  • Nauto
  • Netra
  • Exponential AI
Customization scope Free report customization (15% Free customization) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Reap the benefits of customized purchase options to fit your specific research requirements.

Objectives of the Study

  • To forecast the market size, in terms of value, for various segments with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
  • To provide detailed information regarding the major factors influencing the growth of the Market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze the micro markets with respect to the individual growth trends, future prospects, and contribution to the total market
  • To provide a detailed overview of the value chain and analyze market trends with the Porter's five forces analysis
  • To analyze the opportunities in the market for various stakeholders by identifying the high-growth Segments
  • To identify the key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for the market leaders
  • To analyze competitive development such as joint ventures, mergers and acquisitions, new product launches and development, and research and development in the market

What does this Report Deliver?

  • Market Estimation for 20+ Countries
  • Historical data coverage: 2016 to 2022
  • Growth projections: 2022 to 2028
  • SkyQuest's premium market insights: Innovation matrix, IP analysis, Production Analysis, Value chain analysis, Technological trends, and Trade analysis
  • Customization on Segments, Regions, and Company Profiles
  • 100+ tables, 150+ Figures, 10+ matrix
  • Global and Country Market Trends
  • Comprehensive Mapping of Industry Parameters
  • Attractive Investment Proposition
  • Competitive Strategies Adopted by Leading Market Participants
  • Market drivers, restraints, opportunities, and its impact on the market
  • Regulatory scenario, regional dynamics, and insights of leading countries in each region
  • Segment trends analysis, opportunity, and growth
  • Opportunity analysis by region and country
  • Porter's five force analysis to know the market's condition
  • Pricing analysis
  • Parent market analysis
  • Product portfolio benchmarking

Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Composite Al Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Composite Al Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)
  • te AI Market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors offer opportunities to the end users to leverage composite AI solutions. Moreover, the growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity boost the market growth in coming years.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The composite AI market report covers the composite AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI ethics, and responsible AI. Some of the key findings from the technology roadmap include:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI Market Short-term Technology Roadmap (2023-2025)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Advancements in explainable AI to foster trust in Composite AI solutions
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Commercialization of Composite AI enhancing human intelligence in a wide range of applications
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI Market Mid-term Technology Roadmap (2026-2028)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Development of AI ethics and responsible AI to shape the development, deployment, and adoption of composite AI solutions in the market
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Integration of personalized AI assistants with Composite AI solutions to provide tailored and intelligent experiences to users
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI Market Long-term Technology Roadmap (2029-2030)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Advanced neural networks and models for developing intelligent and effective composite AI applications across a wide range of industries and use cases
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The emergence of next-generation composite AI platforms
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI Market Growth Dynamics
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Driver: Growing intricacy of AI applications for better performance and accuracy
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI applications are becoming more complex, requiring the integration of multiple AI technologies and models to solve intricate problems. Currently, organizations are facing the reality that training a massive neural network using ML does not always scale to solve problems of increased complexity. The pure ML approach works for many classification and recognition tasks but is not always sufficient for solving deeper understanding problems. ML also generates an unending need for training data and computation power. Composite AI solutions provide a way to leverage the strengths of different AI algorithms and components, enabling organizations to tackle complex challenges and achieve better performance. Furthermore, composite AI solutions can leverage the strengths of various AI models and algorithms, resulting in improved performance and accuracy compared to standalone AI approaches. Organizations can achieve more robust and precise results by combining different techniques, leading to enhanced decision-making and problem-solving capabilities.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Restraint: Concerns related to data privacy and security
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Some organizations may hesitate to adopt composite AI solutions due to lacking trust in AI technology or a limited understanding of its capabilities and limitations. Concerns about data privacy, security, and potential biases in AI models can also create obstacles to implementation. The main privacy concerns around AI comprises of data breaches and unauthorized access to personal information. The collected data is collected and then processed to gain key insights which lead to the rise in high risk as it may fall into the wrong hands and can cause that data to get breached easily. . With the advancements in AI technology pave the way for more increase in the data breaches and security issues. For instance, generative AI technology can be exploited to create fake profiles or misused to generate unauthorized images. As per the latest stats, cybercrimes affect the security of 80% of businesses worldwide, and personal data falling into the wrong hands can have severe consequences.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Opportunity: Integration with edge computing and IoT for real-time decision-making
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The proliferation of Internet of Things (IoT) devices and the need for real-time decision-making are driving the adoption of edge computing. Composite AI solutions integrated with edge devices can process and analyze data locally, reducing latency and enabling faster insights and responses. This integration presents opportunities for deploying composite AI solutions in edge computing environments. Edge computing is the key support for intelligent applications and 5G/6G Internet of Things (IoT) networks. It offers various advantages such as low latency, fast response, context-aware services, mobility, and privacy preservation. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. The adoption of new emerging technologies such as IoT, wireless sensor networks (WSNs), cloud/edge computing, and 5G/6G communication networks in various fields such as healthcare, agriculture, education, and transportation can bring many opportunities in improving people’s quality of life, thus building intelligent systems that deliver high-quality, innovative services to the consumers. In the IoT environment, many interconnected devices, such as sensors, mobiles, and memory units, lead to voluminous, heterogeneous, highly noisy, spatiotemporal-correlated, and real-time data streams that need intelligent learning for efficient data analysis and meaningful insight extraction.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Challenge: Data availability and quality
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI solutions heavily rely on large and diverse datasets to train and optimize models. However, organizations may face challenges acquiring high-quality, labeled, and relevant data, especially for specific use cases or industries. Data privacy concerns and regulatory restrictions further complicate data access and sharing. The availability of high-quality data is considered critical, as it is used to train AI algorithms. When developing AI applications that can deliver value, the quality of the data fed into such algorithms is of great importance. Moreover, biased data during labeling and training can potentially result in biased AI applications, posing significant challenges to practitioners in leveraging their data assets into AI applications.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By offering, hardware to register at the highest CAGR during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Composite AI hardware comprises hardware components and infrastructure that support the implementation and execution of composite AI solutions. It involves utilizing specialized hardware devices, processors, accelerators, and infrastructure configurations designed to handle composite AI workloads' computational requirements and complexities. Composite AI hardware plays a crucial role in enabling the efficient processing and execution of various AI models, algorithms, and techniques that are integrated within a composite AI solution. These hardware components are optimized to handle the computational demands of tasks such as machine learning, deep learning, natural language processing, computer vision, and more.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By application, product design & development to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Product design and development business applications plays a crucial role in implementing composite AI solutions in the market. Product design & development applications provide tools and functionalities to generate innovative ideas and concepts. These applications enable businesses to explore new product possibilities and identify areas where composite AI can add value. Using composite AI in product design & development offers significant benefits for companies looking to enhance their product development capabilities, reduce costs, and bring innovative products to market more efficiently.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America is a leading region in adopting and growing composite AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of composite AI solutions in this region. Major industries such as healthcare, BFSI, retail, and manufacturing embrace composite AI to drive innovation, enhance customer experiences, and improve operational efficiency. . These factors are also responsible for adopting composite AI solutions across the region. Moreover, various industry verticals, such as telecom, healthcare, media and entertainment, retail and eCommerce, and BFSI, are leveraging composite AI solutions to enhance productivity and better performance.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Recent Developments:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In April 2023, Amazon SageMaker announced Collections, a new capability to organize machine learning models in the Amazon SageMaker Model Registry. Collections may gather relevant registered models and organize them hierarchically to improve model discoverability at scale.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In July 2022, AWS partnered with Hugging Face to make it easier for companies to leverage state-of-the-art machine learning models, and ship cutting-edge NLP features faster. Through this partnership, Hugging Face is leveraging Amazon Web Services as its preferred cloud provider to deliver customer services.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In May 2022, BlackSwan Technologies and Refinitiv entered a strategic agreement. The agreement enables next-generation customer risk assessment through an advanced compliance solution incorporating comprehensive financial crime data and ground-breaking AI technologies for KYC, transaction monitoring, and screening.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In March 2022, Microsoft announced the acquisition of Nuance. This acquisition will offer customers improved consumer, patient, clinician, and employee experiences and better productivity and financial results.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In September 2021, SAS announced an expansion for its SAS Viya platform, which analyzes data and builds AI models.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • KEY MARKET SEGMENTS
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Offering:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Hardware
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Processors
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Memory Units
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Networks
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs))
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Software
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI Development Platforms and Tools
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ML Frameworks
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI Middleware
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Training and Consulting
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • System Integration and Implementation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Support and Maintenance
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Technique:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Conditioned Monitoring
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Pattern Recognition
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Data Processing
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Proactive Mechanism
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Data Mining & Machine Learning
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Application:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Product Design & Development
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Quality Control
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Predictive Maintenance
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Security & Surveillance
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Customer Service
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Applications (Fraud Detection & prevention, and Supply Chain Management)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Vertical:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • BFSI
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Retail and eCommerce
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Manufacturing
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Energy and Utilities
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Transportation and Logistics
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Healthcare and Life Sciences
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Media and Entertainment
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Government and Defense
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Telecom
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Region:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • US
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Canada
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Europe
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UK
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Germany
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • France
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Italy
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Spain
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Europe
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Asia Pacific
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • China
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Japan
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • India
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • South Korea
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ANZ
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ASEAN Countries
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Asia Pacific
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Middle East & Africa
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UAE
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Saudi Arabia
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Israel
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • South Africa
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Middle East & Africa
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Latin America
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Brazil
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Mexico
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Argentina
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Latin America
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • KEY MARKET PLAYERS
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • IBM
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • SAS Institute
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Microsoft
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Google
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AWS
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Salesforce
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • BlackSwan Technologies
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Oracle
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • OpenText
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • SAP
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • HPE
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Pega s
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • NVIDIA
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Intel
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UiPath
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Zest AI
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Dynamic Yield
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • DataRobot
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • H2O.ai
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Squirro
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • CognitiveScale
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • SparkCognition
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Diwo
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ACTICO
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Kyndi
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Nauto
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Netra
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Exponential AI
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments

Methodology

For the Composite Al Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Composite Al Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Composite Al Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Composite Al Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

The market for Composite Al was estimated to be valued at US$ XX Mn in 2021.

The Composite Al Market is estimated to grow at a CAGR of XX% by 2028.

The Composite Al Market is segmented on the basis of Offering:, Technique:, Application:, Vertical:, Region:.

Based on region, the Composite Al Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the Composite Al Market are te AI Market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors offer opportunities to the end users to leverage composite AI solutions. Moreover, the growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity boost the market growth in coming years. , The composite AI market report covers the composite AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI ethics, and responsible AI. Some of the key findings from the technology roadmap include: , Composite AI Market Short-term Technology Roadmap (2023-2025) , Advancements in explainable AI to foster trust in Composite AI solutions , Commercialization of Composite AI enhancing human intelligence in a wide range of applications , Composite AI Market Mid-term Technology Roadmap (2026-2028) , Development of AI ethics and responsible AI to shape the development, deployment, and adoption of composite AI solutions in the market , Integration of personalized AI assistants with Composite AI solutions to provide tailored and intelligent experiences to users , Composite AI Market Long-term Technology Roadmap (2029-2030) , Advanced neural networks and models for developing intelligent and effective composite AI applications across a wide range of industries and use cases , The emergence of next-generation composite AI platforms , Composite AI Market Growth Dynamics , Driver: Growing intricacy of AI applications for better performance and accuracy , AI applications are becoming more complex, requiring the integration of multiple AI technologies and models to solve intricate problems. Currently, organizations are facing the reality that training a massive neural network using ML does not always scale to solve problems of increased complexity. The pure ML approach works for many classification and recognition tasks but is not always sufficient for solving deeper understanding problems. ML also generates an unending need for training data and computation power. Composite AI solutions provide a way to leverage the strengths of different AI algorithms and components, enabling organizations to tackle complex challenges and achieve better performance. Furthermore, composite AI solutions can leverage the strengths of various AI models and algorithms, resulting in improved performance and accuracy compared to standalone AI approaches. Organizations can achieve more robust and precise results by combining different techniques, leading to enhanced decision-making and problem-solving capabilities. , Restraint: Concerns related to data privacy and security , Some organizations may hesitate to adopt composite AI solutions due to lacking trust in AI technology or a limited understanding of its capabilities and limitations. Concerns about data privacy, security, and potential biases in AI models can also create obstacles to implementation. The main privacy concerns around AI comprises of data breaches and unauthorized access to personal information. The collected data is collected and then processed to gain key insights which lead to the rise in high risk as it may fall into the wrong hands and can cause that data to get breached easily. . With the advancements in AI technology pave the way for more increase in the data breaches and security issues. For instance, generative AI technology can be exploited to create fake profiles or misused to generate unauthorized images. As per the latest stats, cybercrimes affect the security of 80% of businesses worldwide, and personal data falling into the wrong hands can have severe consequences. , Opportunity: Integration with edge computing and IoT for real-time decision-making , The proliferation of Internet of Things (IoT) devices and the need for real-time decision-making are driving the adoption of edge computing. Composite AI solutions integrated with edge devices can process and analyze data locally, reducing latency and enabling faster insights and responses. This integration presents opportunities for deploying composite AI solutions in edge computing environments. Edge computing is the key support for intelligent applications and 5G/6G Internet of Things (IoT) networks. It offers various advantages such as low latency, fast response, context-aware services, mobility, and privacy preservation. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. The adoption of new emerging technologies such as IoT, wireless sensor networks (WSNs), cloud/edge computing, and 5G/6G communication networks in various fields such as healthcare, agriculture, education, and transportation can bring many opportunities in improving people’s quality of life, thus building intelligent systems that deliver high-quality, innovative services to the consumers. In the IoT environment, many interconnected devices, such as sensors, mobiles, and memory units, lead to voluminous, heterogeneous, highly noisy, spatiotemporal-correlated, and real-time data streams that need intelligent learning for efficient data analysis and meaningful insight extraction. , Challenge: Data availability and quality , Composite AI solutions heavily rely on large and diverse datasets to train and optimize models. However, organizations may face challenges acquiring high-quality, labeled, and relevant data, especially for specific use cases or industries. Data privacy concerns and regulatory restrictions further complicate data access and sharing. The availability of high-quality data is considered critical, as it is used to train AI algorithms. When developing AI applications that can deliver value, the quality of the data fed into such algorithms is of great importance. Moreover, biased data during labeling and training can potentially result in biased AI applications, posing significant challenges to practitioners in leveraging their data assets into AI applications. , By offering, hardware to register at the highest CAGR during the forecast period , Composite AI hardware comprises hardware components and infrastructure that support the implementation and execution of composite AI solutions. It involves utilizing specialized hardware devices, processors, accelerators, and infrastructure configurations designed to handle composite AI workloads' computational requirements and complexities. Composite AI hardware plays a crucial role in enabling the efficient processing and execution of various AI models, algorithms, and techniques that are integrated within a composite AI solution. These hardware components are optimized to handle the computational demands of tasks such as machine learning, deep learning, natural language processing, computer vision, and more. , By application, product design & development to account for the largest market size during the forecast period , Product design and development business applications plays a crucial role in implementing composite AI solutions in the market. Product design & development applications provide tools and functionalities to generate innovative ideas and concepts. These applications enable businesses to explore new product possibilities and identify areas where composite AI can add value. Using composite AI in product design & development offers significant benefits for companies looking to enhance their product development capabilities, reduce costs, and bring innovative products to market more efficiently. , North America to account for the largest market size during the forecast period , North America is a leading region in adopting and growing composite AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of composite AI solutions in this region. Major industries such as healthcare, BFSI, retail, and manufacturing embrace composite AI to drive innovation, enhance customer experiences, and improve operational efficiency. . These factors are also responsible for adopting composite AI solutions across the region. Moreover, various industry verticals, such as telecom, healthcare, media and entertainment, retail and eCommerce, and BFSI, are leveraging composite AI solutions to enhance productivity and better performance. , Recent Developments: , In April 2023, Amazon SageMaker announced Collections, a new capability to organize machine learning models in the Amazon SageMaker Model Registry. Collections may gather relevant registered models and organize them hierarchically to improve model discoverability at scale. , In July 2022, AWS partnered with Hugging Face to make it easier for companies to leverage state-of-the-art machine learning models, and ship cutting-edge NLP features faster. Through this partnership, Hugging Face is leveraging Amazon Web Services as its preferred cloud provider to deliver customer services. , In May 2022, BlackSwan Technologies and Refinitiv entered a strategic agreement. The agreement enables next-generation customer risk assessment through an advanced compliance solution incorporating comprehensive financial crime data and ground-breaking AI technologies for KYC, transaction monitoring, and screening. , In March 2022, Microsoft announced the acquisition of Nuance. This acquisition will offer customers improved consumer, patient, clinician, and employee experiences and better productivity and financial results. , In September 2021, SAS announced an expansion for its SAS Viya platform, which analyzes data and builds AI models. , KEY MARKET SEGMENTS, By Offering: , Hardware , Processors , Memory Units , Networks , Other Hardware (Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), and Central Processing Units (CPUs)) , Software , AI Development Platforms and Tools , ML Frameworks , AI Middleware , Other Software (Computer Vision Software, Data Management Tools, Monitoring software, and Security and Governance tools) , Services , Training and Consulting , System Integration and Implementation , Support and Maintenance , By Technique: , Conditioned Monitoring , Pattern Recognition , Data Processing , Proactive Mechanism , Data Mining & Machine Learning , Other Methods (AutoML and model building, model stacking & ensemble, and transfer learning) , By Application: , Product Design & Development , Quality Control , Predictive Maintenance , Security & Surveillance , Customer Service , Other Applications (Fraud Detection & prevention, and Supply Chain Management) , By Vertical: , BFSI , Retail and eCommerce , Manufacturing , Energy and Utilities , Transportation and Logistics , Healthcare and Life Sciences , Media and Entertainment , Government and Defense , Telecom , Other Verticals (Construction & real estate, Automotive, IT and ITeS, and education) , By Region: , North America , US , Canada , Europe , UK , Germany , France , Italy , Spain , Rest of Europe , Asia Pacific , China , Japan , India , South Korea , ANZ , ASEAN Countries , Rest of Asia Pacific , Middle East & Africa , UAE , Saudi Arabia , Israel , South Africa , Rest of Middle East & Africa , Latin America , Brazil , Mexico , Argentina , Rest of Latin America , KEY MARKET PLAYERS , IBM , SAS Institute , Microsoft , Google , AWS , Salesforce , BlackSwan Technologies , Oracle , OpenText , SAP , HPE , Pega s , NVIDIA , Intel , UiPath , Zest AI , Dynamic Yield , DataRobot , H2O.ai , Squirro , CognitiveScale , SparkCognition , Diwo , ACTICO , Kyndi , Nauto , Netra , Exponential AI .

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Composite Al Market

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