Artificial Intelligence (Chipsets) Market

Artificial Intelligence (Chipsets) Market Size, Share, Growth Analysis, By technology(Machine Learning, Natural Language Processing), By function(Training, Inference), By hardware(Processor, Memory), By end-user(Healthcare, Manufacturing), By Region(North America, Europe) - Industry Forecast 2024-2031

Report ID: UCMIG45I2156 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

Artificial Intelligence (Chipsets) Market Insights

Market Overview:

The global AI (chipsets) market is anticipated to be worth USD 18.6 billion in 2023 and to increase at a compound annual growth rate (CAGR) of 28.1% from 2023 to 2028, when it is anticipated to reach USD 64.5 billion. The development of quantum computing is anticipated to fuel the market's expansion.

Artificial Intelligence (Chipsets) 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 Technology Hardware, Storage & Peripherals by segment aggregation, the contribution of the Technology Hardware, Storage & Peripherals in Technology Hardware & Equipment 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 Artificial Intelligence (Chipsets) Market is segmented by technology, function, hardware, end-user, 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.

Artificial Intelligence (Chipsets) Market Basis Point Share Analysis, 2021 Vs. 2028
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  • Based on technology the market is segmented as, Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis
  • Based on function the market is segmented as, Training, Inference
  • Based on hardware the market is segmented as, Processor, Memory, Network
  • Based on end-user the market is segmented as, Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech, Government
  • Based on Region the market is segmented as, North America, Europe, Asia Pacific, RoW, KEY MARKET PLAYERS, Intel Corporation, Nvidia Corporation, Qualcomm Technologies Incorporation, Micron Technology, Inc., Advanced Micro Devices, Inc.

Regional Analysis:

Artificial Intelligence (Chipsets) 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.

Artificial Intelligence (Chipsets) Market Attractiveness Analysis, By Region 2020-2028
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Artificial Intelligence (Chipsets) Market : Risk Analysis

SkyQuest's expert analysts have conducted a risk analysis to understand the impact of external extremities on Artificial Intelligence (Chipsets) 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 Artificial Intelligence (Chipsets) Market's supply chain, distribution, and total revenue growth.

Competitive landscaping:

To understand the competitive landscape, we are analyzing key Artificial Intelligence (Chipsets) 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 Artificial Intelligence (Chipsets) 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:

  • AI (chipsets) market is expected to be valued at USD 18.6 billion in 2023 and is projected to reach USD 64.5 billion by 2028; it is expected to grow at a compound annual growth rate (CAGR) of 28.1% from 2023 to 2028.
  • AI has become a transformative technology across various industries. AI (chipsets) is purpose-built to deliver high-speed processing, low latency, and parallel computing capabilities, enabling faster and more responsive AI applications. Organizations are leveraging AI to automate processes, gain valuable insights from data, improve decision-making, enhance customer experiences, and drive innovation. As the adoption of AI continues to expand, there is a growing demand for specialized hardware that can efficiently process AI workloads, leading to the growth of the AI (chipsets) Industry.
  • Artificial Intelligence (chipsets) market dynamics
  • Driver: The emerging trend of autonomous vehicles
  • Autonomous vehicles rely on a combination of sensors, cameras, radar, lidar, and other technologies to perceive their surroundings accurately. AI (chipsets) plays a crucial role in processing the vast amount of real-time data generated by these sensors. The chipsets accelerate perception tasks such as object detection, tracking, and classification, allowing the vehicle to make informed decisions based on the analyzed data. The need for powerful AI (chipsets) capable of handling complex perception tasks is essential to enable safe and efficient autonomous driving.
  • Autonomous vehicles employ sophisticated AI algorithms for mapping, path planning, and decision-making tasks. These algorithms require substantial computational power and efficient processing to handle driving lessons' complexity and real-time nature. AI (chipsets) is designed to deliver the high-performance computing needed to execute these complex algorithms efficiently, ensuring the smooth operation of autonomous vehicles.
  • Restraint: Lack of AI hardware experts and skilled workforce
  • Developing AI (chipsets) requires specialized knowledge and expertise in hardware design, architecture, and optimization for AI workloads. However, there is a need for more AI hardware experts who possess the necessary skills and experience to design and develop these chipsets. This expertise scarcity can slow the pace of innovation and product development in the AI (chipsets) market.
  • AI (chipsets) often incorporates specialized accelerators and custom architectures tailored for AI workloads. Designing and optimizing these components requires technical skills and knowledge that may be limited in the existing talent pool. The need for more skilled workers who can handle these specialized tasks can restrict the growth and development of AI (chipsets).
  • Opportunity: Surging demand for AI-based FPGA
  • FPGAs offer inherent flexibility and programmability compared to fixed-function ASICs (Application-Specific Integrated Circuits). This makes them suitable for handling diverse AI workloads and adapting to evolving AI algorithms. As AI models and algorithms continue to grow rapidly, the ability to reprogram and reconfigure FPGAs provides a competitive advantage in meeting the changing demands of AI applications.
  • Energy efficiency is critical in AI (chipsets), particularly in edge computing and IoT devices where power constraints exist. FPGAs can be power-optimized to deliver high performance per watt by leveraging parallel processing capabilities and fine-grained control over resources. The ability to optimize power consumption while maintaining performance is crucial for AI (chipsets), making AI-based FPGAs an attractive choice.
  • Challenge: Data privacy concerns in AI platforms
  • AI platforms often require access to large datasets, including personal and sensitive information. This raises concerns about data security and protection. If the data used for training AI models is not adequately safeguarded, it can be vulnerable to unauthorized access, breaches, or misuse. This can lead to privacy violations, identity theft, or other forms of data abuse.
  • AI platforms often involve the sharing of data across organizations or even international borders. However, data privacy regulations can vary across jurisdictions, making it challenging to ensure compliance and protect user privacy. Adhering to diverse legal frameworks while enabling data sharing and collaboration poses a significant challenge for AI (chipsets) companies.
  • Artificial Intelligence (chipsets) Market Ecosystem
  • The Artificial Intelligence (chipsets) market is dominated by established and financially sound manufacturers with extensive experience in the industry. These companies have diversified product portfolios, cutting-edge technologies, and strong global sales and marketing networks. Leading players in the market include Intel Corporation from the US, Nvidia Corporation from the US, Qualcomm Technologies Incorporated from the US, Advanced Micro Devices, Inc. from the US, and Alphabet Inc. from the US.
  • Based on technology, the Artificial Intelligence (chipsets) market for Natural Language Processing to hold the second highest CAGR during the forecast period
  • The exponential growth of digital data, including unstructured data like text, presents both challenges and opportunities. NLP technology combined with AI (chipsets) can efficiently analyze and extract insights from vast amounts of textual data, enabling businesses to uncover valuable information, trends, and patterns hidden within text documents. Powered by AI (chipsets), NLP technology automates language-intensive tasks previously performed manually. This includes functions like document summarization, information extraction, sentiment analysis, and content generation. Automating these tasks improves efficiency, reduces errors, and frees up human resources for more complex and strategic work.
  • Based on hardware, the processor segment to hold the highest market share from 2023 to 2028
  • AI applications often require high-performance computing capabilities to handle massive amounts of data and complex computations. General-purpose processors, such as CPUs (Central Processing Units), may not be optimized for the specific requirements of AI workloads. Specialized processors, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Neural Processing Units (NPUs), are designed to deliver parallel processing and optimized performance for AI tasks. The growing demand for high-performance computing in AI applications is driving the growth of the AI (chipsets) processor market.
  • Training function for Artificial Intelligence (chipsets) market to grow at the highest CAGR during the forecast period.
  • The demand for AI-driven applications and services is rising across various industries, such as healthcare, finance, e-commerce, autonomous vehicles, and more. Training AI models requires substantial computational power, and AI (chipsets) provide the specialized hardware needed to accelerate and optimize the training process.
  • Cybersecurity industry for Artificial Intelligence (chipsets) market to hold the second largest market share from 2023 to 2028
  • Cybersecurity threats are becoming more sophisticated and complex, requiring advanced technologies to detect and mitigate them effectively. AI (chipsets) offers the computational power and efficiency needed to analyze large volumes of data, identify patterns, and detect anomalies in real-time, helping to enhance cybersecurity defenses. AI (chipsets) enables automation in cybersecurity processes, such as malware detection, intrusion detection, and log analysis. By automating these tasks, AI-powered cybersecurity systems can free up human resources, reduce response times, and improve efficiency in identifying and mitigating threats.
  • Artificial Intelligence (chipsets) market in Asia Pacific to hold the highest CAGR during the forecast period
  • Asia Pacific is witnessing a rapid digital transformation across various sectors, including healthcare, finance, manufacturing, retail, and transportation. This transformation is driving the adoption of AI technologies, leading to an increased demand for AI (chipsets) to power AI applications and services.
  • Asia Pacific has a vibrant AI startup ecosystem, with emerging companies focused on developing AI applications and technologies. These startups are driving the demand for AI (chipsets), seeking high-performance and energy-efficient hardware solutions to power their AI innovations.
  • Various industries in Asia Pacific, including healthcare, finance, automotive, retail, and agriculture, are increasingly adopting AI technologies to improve operational efficiency, enhance customer experiences, and drive innovation. AI (chipsets) is critical in powering AI applications in these industries, contributing to the market’s growth.
  • Recent Developments
  • In November 2022, Nvidia announced a collaboration with Microsoft. As a part of this collaboration, companies will build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking, and a whole stack of AI software to help enterprises train, deploy and scale AI, including oversized, state-of-the-art models.
  • In October 2022, Intel and HashiCorp joined forces to aid customers in enhancing their cloud migration efforts. By leveraging Intel's Xeon Scalable accelerators, developers will receive Sentinel policy recommendations from HashiCorp's products, enabling them to optimize workloads and maximize their cloud strategy's cost-effectiveness, performance, and security.
  • In October 2022, NSF announced a partnership with Micron to support semiconductor design and manufacturing workforce development.
  • In October 2022, Samsung announced the launch of its latest LPDDR5X DRAM with the industry’s fastest speed of 8.5 gigabits per second.
  • In April 2022, AMD signed a definitive agreement to acquire Pensando Systems Inc. (US) to add chips and software to route information inside computer systems and expand its data center solutions capabilities.
  • KEY MARKET SEGMENTS
  • By technology
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Predictive Analysis
  • By function
  • Training
  • Inference
  • By hardware
  • Processor
  • Memory
  • Network
  • By end-user
  • Healthcare
  • Manufacturing
  • Automotive
  • Agriculture
  • Retail
  • Cybersecurity
  • Human Resources
  • Marketing
  • Law
  • Fintech
  • Government
  • By Region
  • North America
  • Europe
  • Asia Pacific
  • RoW
  • KEY MARKET PLAYERS
  • Intel Corporation
  • Nvidia Corporation
  • Qualcomm Technologies Incorporation
  • Micron Technology, Inc.
  • Advanced Micro Devices, Inc.

SkyQuest's Expertise:

The Artificial Intelligence (Chipsets) 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 technology - Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis
  • By function - Training, Inference
  • By hardware - Processor, Memory, Network
  • By end-user - Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech, Government
  • By Region - North America, Europe, Asia Pacific, RoW, KEY MARKET PLAYERS, Intel Corporation, Nvidia Corporation, Qualcomm Technologies Incorporation, Micron Technology, Inc., Advanced Micro Devices, Inc.
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
  • AI (chipsets) market is expected to be valued at USD 18.6 billion in 2023 and is projected to reach USD 64.5 billion by 2028; it is expected to grow at a compound annual growth rate (CAGR) of 28.1% from 2023 to 2028.
  • AI has become a transformative technology across various industries. AI (chipsets) is purpose-built to deliver high-speed processing, low latency, and parallel computing capabilities, enabling faster and more responsive AI applications. Organizations are leveraging AI to automate processes, gain valuable insights from data, improve decision-making, enhance customer experiences, and drive innovation. As the adoption of AI continues to expand, there is a growing demand for specialized hardware that can efficiently process AI workloads, leading to the growth of the AI (chipsets) Industry.
  • Artificial Intelligence (chipsets) market dynamics
  • Driver: The emerging trend of autonomous vehicles
  • Autonomous vehicles rely on a combination of sensors, cameras, radar, lidar, and other technologies to perceive their surroundings accurately. AI (chipsets) plays a crucial role in processing the vast amount of real-time data generated by these sensors. The chipsets accelerate perception tasks such as object detection, tracking, and classification, allowing the vehicle to make informed decisions based on the analyzed data. The need for powerful AI (chipsets) capable of handling complex perception tasks is essential to enable safe and efficient autonomous driving.
  • Autonomous vehicles employ sophisticated AI algorithms for mapping, path planning, and decision-making tasks. These algorithms require substantial computational power and efficient processing to handle driving lessons' complexity and real-time nature. AI (chipsets) is designed to deliver the high-performance computing needed to execute these complex algorithms efficiently, ensuring the smooth operation of autonomous vehicles.
  • Restraint: Lack of AI hardware experts and skilled workforce
  • Developing AI (chipsets) requires specialized knowledge and expertise in hardware design, architecture, and optimization for AI workloads. However, there is a need for more AI hardware experts who possess the necessary skills and experience to design and develop these chipsets. This expertise scarcity can slow the pace of innovation and product development in the AI (chipsets) market.
  • AI (chipsets) often incorporates specialized accelerators and custom architectures tailored for AI workloads. Designing and optimizing these components requires technical skills and knowledge that may be limited in the existing talent pool. The need for more skilled workers who can handle these specialized tasks can restrict the growth and development of AI (chipsets).
  • Opportunity: Surging demand for AI-based FPGA
  • FPGAs offer inherent flexibility and programmability compared to fixed-function ASICs (Application-Specific Integrated Circuits). This makes them suitable for handling diverse AI workloads and adapting to evolving AI algorithms. As AI models and algorithms continue to grow rapidly, the ability to reprogram and reconfigure FPGAs provides a competitive advantage in meeting the changing demands of AI applications.
  • Energy efficiency is critical in AI (chipsets), particularly in edge computing and IoT devices where power constraints exist. FPGAs can be power-optimized to deliver high performance per watt by leveraging parallel processing capabilities and fine-grained control over resources. The ability to optimize power consumption while maintaining performance is crucial for AI (chipsets), making AI-based FPGAs an attractive choice.
  • Challenge: Data privacy concerns in AI platforms
  • AI platforms often require access to large datasets, including personal and sensitive information. This raises concerns about data security and protection. If the data used for training AI models is not adequately safeguarded, it can be vulnerable to unauthorized access, breaches, or misuse. This can lead to privacy violations, identity theft, or other forms of data abuse.
  • AI platforms often involve the sharing of data across organizations or even international borders. However, data privacy regulations can vary across jurisdictions, making it challenging to ensure compliance and protect user privacy. Adhering to diverse legal frameworks while enabling data sharing and collaboration poses a significant challenge for AI (chipsets) companies.
  • Artificial Intelligence (chipsets) Market Ecosystem
  • The Artificial Intelligence (chipsets) market is dominated by established and financially sound manufacturers with extensive experience in the industry. These companies have diversified product portfolios, cutting-edge technologies, and strong global sales and marketing networks. Leading players in the market include Intel Corporation from the US, Nvidia Corporation from the US, Qualcomm Technologies Incorporated from the US, Advanced Micro Devices, Inc. from the US, and Alphabet Inc. from the US.
  • Based on technology, the Artificial Intelligence (chipsets) market for Natural Language Processing to hold the second highest CAGR during the forecast period
  • The exponential growth of digital data, including unstructured data like text, presents both challenges and opportunities. NLP technology combined with AI (chipsets) can efficiently analyze and extract insights from vast amounts of textual data, enabling businesses to uncover valuable information, trends, and patterns hidden within text documents. Powered by AI (chipsets), NLP technology automates language-intensive tasks previously performed manually. This includes functions like document summarization, information extraction, sentiment analysis, and content generation. Automating these tasks improves efficiency, reduces errors, and frees up human resources for more complex and strategic work.
  • Based on hardware, the processor segment to hold the highest market share from 2023 to 2028
  • AI applications often require high-performance computing capabilities to handle massive amounts of data and complex computations. General-purpose processors, such as CPUs (Central Processing Units), may not be optimized for the specific requirements of AI workloads. Specialized processors, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Neural Processing Units (NPUs), are designed to deliver parallel processing and optimized performance for AI tasks. The growing demand for high-performance computing in AI applications is driving the growth of the AI (chipsets) processor market.
  • Training function for Artificial Intelligence (chipsets) market to grow at the highest CAGR during the forecast period.
  • The demand for AI-driven applications and services is rising across various industries, such as healthcare, finance, e-commerce, autonomous vehicles, and more. Training AI models requires substantial computational power, and AI (chipsets) provide the specialized hardware needed to accelerate and optimize the training process.
  • Cybersecurity industry for Artificial Intelligence (chipsets) market to hold the second largest market share from 2023 to 2028
  • Cybersecurity threats are becoming more sophisticated and complex, requiring advanced technologies to detect and mitigate them effectively. AI (chipsets) offers the computational power and efficiency needed to analyze large volumes of data, identify patterns, and detect anomalies in real-time, helping to enhance cybersecurity defenses. AI (chipsets) enables automation in cybersecurity processes, such as malware detection, intrusion detection, and log analysis. By automating these tasks, AI-powered cybersecurity systems can free up human resources, reduce response times, and improve efficiency in identifying and mitigating threats.
  • Artificial Intelligence (chipsets) market in Asia Pacific to hold the highest CAGR during the forecast period
  • Asia Pacific is witnessing a rapid digital transformation across various sectors, including healthcare, finance, manufacturing, retail, and transportation. This transformation is driving the adoption of AI technologies, leading to an increased demand for AI (chipsets) to power AI applications and services.
  • Asia Pacific has a vibrant AI startup ecosystem, with emerging companies focused on developing AI applications and technologies. These startups are driving the demand for AI (chipsets), seeking high-performance and energy-efficient hardware solutions to power their AI innovations.
  • Various industries in Asia Pacific, including healthcare, finance, automotive, retail, and agriculture, are increasingly adopting AI technologies to improve operational efficiency, enhance customer experiences, and drive innovation. AI (chipsets) is critical in powering AI applications in these industries, contributing to the market’s growth.
  • Recent Developments
  • In November 2022, Nvidia announced a collaboration with Microsoft. As a part of this collaboration, companies will build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking, and a whole stack of AI software to help enterprises train, deploy and scale AI, including oversized, state-of-the-art models.
  • In October 2022, Intel and HashiCorp joined forces to aid customers in enhancing their cloud migration efforts. By leveraging Intel's Xeon Scalable accelerators, developers will receive Sentinel policy recommendations from HashiCorp's products, enabling them to optimize workloads and maximize their cloud strategy's cost-effectiveness, performance, and security.
  • In October 2022, NSF announced a partnership with Micron to support semiconductor design and manufacturing workforce development.
  • In October 2022, Samsung announced the launch of its latest LPDDR5X DRAM with the industry’s fastest speed of 8.5 gigabits per second.
  • In April 2022, AMD signed a definitive agreement to acquire Pensando Systems Inc. (US) to add chips and software to route information inside computer systems and expand its data center solutions capabilities.
  • KEY MARKET SEGMENTS
  • By technology
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Predictive Analysis
  • By function
  • Training
  • Inference
  • By hardware
  • Processor
  • Memory
  • Network
  • By end-user
  • Healthcare
  • Manufacturing
  • Automotive
  • Agriculture
  • Retail
  • Cybersecurity
  • Human Resources
  • Marketing
  • Law
  • Fintech
  • Government
  • By Region
  • North America
  • Europe
  • Asia Pacific
  • RoW
  • KEY MARKET PLAYERS
  • Intel Corporation
  • Nvidia Corporation
  • Qualcomm Technologies Incorporation
  • Micron Technology, Inc.
  • Advanced Micro Devices, Inc.
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 Artificial Intelligence (Chipsets) 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 Artificial Intelligence (Chipsets) 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(%)
  • AI (chipsets) market is expected to be valued at USD 18.6 billion in 2023 and is projected to reach USD 64.5 billion by 2028; it is expected to grow at a compound annual growth rate (CAGR) of 28.1% from 2023 to 2028.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI has become a transformative technology across various industries. AI (chipsets) is purpose-built to deliver high-speed processing, low latency, and parallel computing capabilities, enabling faster and more responsive AI applications. Organizations are leveraging AI to automate processes, gain valuable insights from data, improve decision-making, enhance customer experiences, and drive innovation. As the adoption of AI continues to expand, there is a growing demand for specialized hardware that can efficiently process AI workloads, leading to the growth of the AI (chipsets) Industry.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Artificial Intelligence (chipsets) market dynamics
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Driver: The emerging trend of autonomous vehicles
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Autonomous vehicles rely on a combination of sensors, cameras, radar, lidar, and other technologies to perceive their surroundings accurately. AI (chipsets) plays a crucial role in processing the vast amount of real-time data generated by these sensors. The chipsets accelerate perception tasks such as object detection, tracking, and classification, allowing the vehicle to make informed decisions based on the analyzed data. The need for powerful AI (chipsets) capable of handling complex perception tasks is essential to enable safe and efficient autonomous driving.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Autonomous vehicles employ sophisticated AI algorithms for mapping, path planning, and decision-making tasks. These algorithms require substantial computational power and efficient processing to handle driving lessons' complexity and real-time nature. AI (chipsets) is designed to deliver the high-performance computing needed to execute these complex algorithms efficiently, ensuring the smooth operation of autonomous vehicles.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Restraint: Lack of AI hardware experts and skilled workforce
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Developing AI (chipsets) requires specialized knowledge and expertise in hardware design, architecture, and optimization for AI workloads. However, there is a need for more AI hardware experts who possess the necessary skills and experience to design and develop these chipsets. This expertise scarcity can slow the pace of innovation and product development in the AI (chipsets) market.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI (chipsets) often incorporates specialized accelerators and custom architectures tailored for AI workloads. Designing and optimizing these components requires technical skills and knowledge that may be limited in the existing talent pool. The need for more skilled workers who can handle these specialized tasks can restrict the growth and development of AI (chipsets).
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Opportunity: Surging demand for AI-based FPGA
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • FPGAs offer inherent flexibility and programmability compared to fixed-function ASICs (Application-Specific Integrated Circuits). This makes them suitable for handling diverse AI workloads and adapting to evolving AI algorithms. As AI models and algorithms continue to grow rapidly, the ability to reprogram and reconfigure FPGAs provides a competitive advantage in meeting the changing demands of AI applications.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Energy efficiency is critical in AI (chipsets), particularly in edge computing and IoT devices where power constraints exist. FPGAs can be power-optimized to deliver high performance per watt by leveraging parallel processing capabilities and fine-grained control over resources. The ability to optimize power consumption while maintaining performance is crucial for AI (chipsets), making AI-based FPGAs an attractive choice.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Challenge: Data privacy concerns in AI platforms
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI platforms often require access to large datasets, including personal and sensitive information. This raises concerns about data security and protection. If the data used for training AI models is not adequately safeguarded, it can be vulnerable to unauthorized access, breaches, or misuse. This can lead to privacy violations, identity theft, or other forms of data abuse.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI platforms often involve the sharing of data across organizations or even international borders. However, data privacy regulations can vary across jurisdictions, making it challenging to ensure compliance and protect user privacy. Adhering to diverse legal frameworks while enabling data sharing and collaboration poses a significant challenge for AI (chipsets) companies.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Artificial Intelligence (chipsets) Market Ecosystem
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The Artificial Intelligence (chipsets) market is dominated by established and financially sound manufacturers with extensive experience in the industry. These companies have diversified product portfolios, cutting-edge technologies, and strong global sales and marketing networks. Leading players in the market include Intel Corporation from the US, Nvidia Corporation from the US, Qualcomm Technologies Incorporated from the US, Advanced Micro Devices, Inc. from the US, and Alphabet Inc. from the US.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Based on technology, the Artificial Intelligence (chipsets) market for Natural Language Processing to hold the second highest CAGR during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The exponential growth of digital data, including unstructured data like text, presents both challenges and opportunities. NLP technology combined with AI (chipsets) can efficiently analyze and extract insights from vast amounts of textual data, enabling businesses to uncover valuable information, trends, and patterns hidden within text documents. Powered by AI (chipsets), NLP technology automates language-intensive tasks previously performed manually. This includes functions like document summarization, information extraction, sentiment analysis, and content generation. Automating these tasks improves efficiency, reduces errors, and frees up human resources for more complex and strategic work.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Based on hardware, the processor segment to hold the highest market share from 2023 to 2028
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AI applications often require high-performance computing capabilities to handle massive amounts of data and complex computations. General-purpose processors, such as CPUs (Central Processing Units), may not be optimized for the specific requirements of AI workloads. Specialized processors, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Neural Processing Units (NPUs), are designed to deliver parallel processing and optimized performance for AI tasks. The growing demand for high-performance computing in AI applications is driving the growth of the AI (chipsets) processor market.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Training function for Artificial Intelligence (chipsets) market to grow at the highest CAGR during the forecast period.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The demand for AI-driven applications and services is rising across various industries, such as healthcare, finance, e-commerce, autonomous vehicles, and more. Training AI models requires substantial computational power, and AI (chipsets) provide the specialized hardware needed to accelerate and optimize the training process.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cybersecurity industry for Artificial Intelligence (chipsets) market to hold the second largest market share from 2023 to 2028
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cybersecurity threats are becoming more sophisticated and complex, requiring advanced technologies to detect and mitigate them effectively. AI (chipsets) offers the computational power and efficiency needed to analyze large volumes of data, identify patterns, and detect anomalies in real-time, helping to enhance cybersecurity defenses. AI (chipsets) enables automation in cybersecurity processes, such as malware detection, intrusion detection, and log analysis. By automating these tasks, AI-powered cybersecurity systems can free up human resources, reduce response times, and improve efficiency in identifying and mitigating threats.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Artificial Intelligence (chipsets) market in Asia Pacific to hold the highest CAGR during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Asia Pacific is witnessing a rapid digital transformation across various sectors, including healthcare, finance, manufacturing, retail, and transportation. This transformation is driving the adoption of AI technologies, leading to an increased demand for AI (chipsets) to power AI applications and services.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Asia Pacific has a vibrant AI startup ecosystem, with emerging companies focused on developing AI applications and technologies. These startups are driving the demand for AI (chipsets), seeking high-performance and energy-efficient hardware solutions to power their AI innovations.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Various industries in Asia Pacific, including healthcare, finance, automotive, retail, and agriculture, are increasingly adopting AI technologies to improve operational efficiency, enhance customer experiences, and drive innovation. AI (chipsets) is critical in powering AI applications in these industries, contributing to the market’s growth.
    • 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 November 2022, Nvidia announced a collaboration with Microsoft. As a part of this collaboration, companies will build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking, and a whole stack of AI software to help enterprises train, deploy and scale AI, including oversized, state-of-the-art models.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In October 2022, Intel and HashiCorp joined forces to aid customers in enhancing their cloud migration efforts. By leveraging Intel's Xeon Scalable accelerators, developers will receive Sentinel policy recommendations from HashiCorp's products, enabling them to optimize workloads and maximize their cloud strategy's cost-effectiveness, performance, and security.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In October 2022, NSF announced a partnership with Micron to support semiconductor design and manufacturing workforce development.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In October 2022, Samsung announced the launch of its latest LPDDR5X DRAM with the industry’s fastest speed of 8.5 gigabits per second.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In April 2022, AMD signed a definitive agreement to acquire Pensando Systems Inc. (US) to add chips and software to route information inside computer systems and expand its data center solutions capabilities.
    • 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 technology
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Machine Learning
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Natural Language Processing
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Context-Aware Computing
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Computer Vision
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Predictive Analysis
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By function
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Training
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Inference
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By hardware
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Processor
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Memory
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Network
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By end-user
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Healthcare
    • 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
  • Automotive
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Agriculture
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Retail
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cybersecurity
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Human Resources
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Marketing
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Law
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Fintech
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Government
    • 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
  • 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
  • RoW
    • 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
  • Intel Corporation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Nvidia Corporation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Qualcomm Technologies Incorporation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Micron Technology, Inc.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Advanced Micro Devices, Inc.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments

Methodology

For the Artificial Intelligence (Chipsets) 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 Artificial Intelligence (Chipsets) 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 Artificial Intelligence (Chipsets) Market:

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

Regional Analysis: Further analysis of the Artificial Intelligence (Chipsets) 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 global market for Artificial Intelligence (chipsets) was estimated to be valued at US$ XX Mn in 2021.

The global Artificial Intelligence (chipsets) Market is estimated to grow at a CAGR of XX% by 2028.

The global Artificial Intelligence (chipsets) Market is segmented on the basis of technology, function, hardware, end-user, Region.

Based on region, the global Artificial Intelligence (chipsets) Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the global Artificial Intelligence (chipsets) Market are AI (chipsets) market is expected to be valued at USD 18.6 billion in 2023 and is projected to reach USD 64.5 billion by 2028; it is expected to grow at a compound annual growth rate (CAGR) of 28.1% from 2023 to 2028. , AI has become a transformative technology across various industries. AI (chipsets) is purpose-built to deliver high-speed processing, low latency, and parallel computing capabilities, enabling faster and more responsive AI applications. Organizations are leveraging AI to automate processes, gain valuable insights from data, improve decision-making, enhance customer experiences, and drive innovation. As the adoption of AI continues to expand, there is a growing demand for specialized hardware that can efficiently process AI workloads, leading to the growth of the AI (chipsets) Industry. , Artificial Intelligence (chipsets) market dynamics , Driver: The emerging trend of autonomous vehicles , Autonomous vehicles rely on a combination of sensors, cameras, radar, lidar, and other technologies to perceive their surroundings accurately. AI (chipsets) plays a crucial role in processing the vast amount of real-time data generated by these sensors. The chipsets accelerate perception tasks such as object detection, tracking, and classification, allowing the vehicle to make informed decisions based on the analyzed data. The need for powerful AI (chipsets) capable of handling complex perception tasks is essential to enable safe and efficient autonomous driving. , Autonomous vehicles employ sophisticated AI algorithms for mapping, path planning, and decision-making tasks. These algorithms require substantial computational power and efficient processing to handle driving lessons' complexity and real-time nature. AI (chipsets) is designed to deliver the high-performance computing needed to execute these complex algorithms efficiently, ensuring the smooth operation of autonomous vehicles. , Restraint: Lack of AI hardware experts and skilled workforce , Developing AI (chipsets) requires specialized knowledge and expertise in hardware design, architecture, and optimization for AI workloads. However, there is a need for more AI hardware experts who possess the necessary skills and experience to design and develop these chipsets. This expertise scarcity can slow the pace of innovation and product development in the AI (chipsets) market. , AI (chipsets) often incorporates specialized accelerators and custom architectures tailored for AI workloads. Designing and optimizing these components requires technical skills and knowledge that may be limited in the existing talent pool. The need for more skilled workers who can handle these specialized tasks can restrict the growth and development of AI (chipsets). , Opportunity: Surging demand for AI-based FPGA , FPGAs offer inherent flexibility and programmability compared to fixed-function ASICs (Application-Specific Integrated Circuits). This makes them suitable for handling diverse AI workloads and adapting to evolving AI algorithms. As AI models and algorithms continue to grow rapidly, the ability to reprogram and reconfigure FPGAs provides a competitive advantage in meeting the changing demands of AI applications. , Energy efficiency is critical in AI (chipsets), particularly in edge computing and IoT devices where power constraints exist. FPGAs can be power-optimized to deliver high performance per watt by leveraging parallel processing capabilities and fine-grained control over resources. The ability to optimize power consumption while maintaining performance is crucial for AI (chipsets), making AI-based FPGAs an attractive choice. , Challenge: Data privacy concerns in AI platforms , AI platforms often require access to large datasets, including personal and sensitive information. This raises concerns about data security and protection. If the data used for training AI models is not adequately safeguarded, it can be vulnerable to unauthorized access, breaches, or misuse. This can lead to privacy violations, identity theft, or other forms of data abuse. , AI platforms often involve the sharing of data across organizations or even international borders. However, data privacy regulations can vary across jurisdictions, making it challenging to ensure compliance and protect user privacy. Adhering to diverse legal frameworks while enabling data sharing and collaboration poses a significant challenge for AI (chipsets) companies. , Artificial Intelligence (chipsets) Market Ecosystem , The Artificial Intelligence (chipsets) market is dominated by established and financially sound manufacturers with extensive experience in the industry. These companies have diversified product portfolios, cutting-edge technologies, and strong global sales and marketing networks. Leading players in the market include Intel Corporation from the US, Nvidia Corporation from the US, Qualcomm Technologies Incorporated from the US, Advanced Micro Devices, Inc. from the US, and Alphabet Inc. from the US. , Based on technology, the Artificial Intelligence (chipsets) market for Natural Language Processing to hold the second highest CAGR during the forecast period , The exponential growth of digital data, including unstructured data like text, presents both challenges and opportunities. NLP technology combined with AI (chipsets) can efficiently analyze and extract insights from vast amounts of textual data, enabling businesses to uncover valuable information, trends, and patterns hidden within text documents. Powered by AI (chipsets), NLP technology automates language-intensive tasks previously performed manually. This includes functions like document summarization, information extraction, sentiment analysis, and content generation. Automating these tasks improves efficiency, reduces errors, and frees up human resources for more complex and strategic work. , Based on hardware, the processor segment to hold the highest market share from 2023 to 2028 , AI applications often require high-performance computing capabilities to handle massive amounts of data and complex computations. General-purpose processors, such as CPUs (Central Processing Units), may not be optimized for the specific requirements of AI workloads. Specialized processors, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Neural Processing Units (NPUs), are designed to deliver parallel processing and optimized performance for AI tasks. The growing demand for high-performance computing in AI applications is driving the growth of the AI (chipsets) processor market. , Training function for Artificial Intelligence (chipsets) market to grow at the highest CAGR during the forecast period. , The demand for AI-driven applications and services is rising across various industries, such as healthcare, finance, e-commerce, autonomous vehicles, and more. Training AI models requires substantial computational power, and AI (chipsets) provide the specialized hardware needed to accelerate and optimize the training process. , Cybersecurity industry for Artificial Intelligence (chipsets) market to hold the second largest market share from 2023 to 2028 , Cybersecurity threats are becoming more sophisticated and complex, requiring advanced technologies to detect and mitigate them effectively. AI (chipsets) offers the computational power and efficiency needed to analyze large volumes of data, identify patterns, and detect anomalies in real-time, helping to enhance cybersecurity defenses. AI (chipsets) enables automation in cybersecurity processes, such as malware detection, intrusion detection, and log analysis. By automating these tasks, AI-powered cybersecurity systems can free up human resources, reduce response times, and improve efficiency in identifying and mitigating threats. , Artificial Intelligence (chipsets) market in Asia Pacific to hold the highest CAGR during the forecast period , Asia Pacific is witnessing a rapid digital transformation across various sectors, including healthcare, finance, manufacturing, retail, and transportation. This transformation is driving the adoption of AI technologies, leading to an increased demand for AI (chipsets) to power AI applications and services. , Asia Pacific has a vibrant AI startup ecosystem, with emerging companies focused on developing AI applications and technologies. These startups are driving the demand for AI (chipsets), seeking high-performance and energy-efficient hardware solutions to power their AI innovations. , Various industries in Asia Pacific, including healthcare, finance, automotive, retail, and agriculture, are increasingly adopting AI technologies to improve operational efficiency, enhance customer experiences, and drive innovation. AI (chipsets) is critical in powering AI applications in these industries, contributing to the market’s growth. , Recent Developments , In November 2022, Nvidia announced a collaboration with Microsoft. As a part of this collaboration, companies will build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking, and a whole stack of AI software to help enterprises train, deploy and scale AI, including oversized, state-of-the-art models. , In October 2022, Intel and HashiCorp joined forces to aid customers in enhancing their cloud migration efforts. By leveraging Intel's Xeon Scalable accelerators, developers will receive Sentinel policy recommendations from HashiCorp's products, enabling them to optimize workloads and maximize their cloud strategy's cost-effectiveness, performance, and security. , In October 2022, NSF announced a partnership with Micron to support semiconductor design and manufacturing workforce development. , In October 2022, Samsung announced the launch of its latest LPDDR5X DRAM with the industry’s fastest speed of 8.5 gigabits per second. , In April 2022, AMD signed a definitive agreement to acquire Pensando Systems Inc. (US) to add chips and software to route information inside computer systems and expand its data center solutions capabilities. , KEY MARKET SEGMENTS , By technology , Machine Learning , Natural Language Processing , Context-Aware Computing , Computer Vision , Predictive Analysis , By function , Training , Inference , By hardware , Processor , Memory , Network , By end-user , Healthcare , Manufacturing , Automotive , Agriculture , Retail , Cybersecurity , Human Resources , Marketing , Law , Fintech , Government , By Region , North America , Europe , Asia Pacific , RoW , KEY MARKET PLAYERS , Intel Corporation , Nvidia Corporation , Qualcomm Technologies Incorporation , Micron Technology, Inc. , Advanced Micro Devices, Inc..

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