Artificial Intelligence (AI) Hardware Market Size, Share, Growth Analysis, By Product(Sound Processor, Vision Processor, Embedded Sound and Vision Processing Units), Hardware Type(Processors (CPU, GPU, TPU, FPGA), Memory (DRAM, SRAM, NVM), Storage, Networking), Application, End-User, and Region - Industry Forecast 2024-2031


Report ID: SQMIG45I2192 | Region: Global | Published Date: June, 2024
Pages: 197 |Tables: 131 |Figures: 77

Artificial Intelligence (AI) Hardware Market Insights

Global Artificial Intelligence (AI) in Hardware Market size was valued at USD 13.3 Billion in 2022 and is poised to grow from USD 23.5 Billion in 2023 to USD 84.9 Billion by 2031, growing at a CAGR of 15.5% in the forecast period (2024-2031). 

The global Artificial Intelligence (AI) in Hardware Market is characterized by dynamic changes driven by a combination of technological advancements, evolving consumer needs, regulatory considerations, and competitive developments. Technological innovation is led, and constantly changing the state of AI hardware solutions. Advances in the semiconductor industry, such as the development of specialized AI chips such as GPU (Graphics Processing Unit) and TPU (Tensor Processing Unit) are increasing the productivity and performance of AI systems, fueling the market growth.  

Based on SkyQuest in-depth study, we found that the growth of AI Hardware technology has been fueled by advancements in technology and the widespread use of smart devices. AI chipsets, which are designed to perform complex mathematical computations and algorithms, have emerged as a crucial technology in this field. They are used in a wide range of devices, from smartphones and smart speakers to self-driving cars and industrial robots. Additionally, the global AI in hardware market is growing due to advances in technology, especially deep learning and machine learning. These technologies need fast AI chipsets to process huge data and allow machines to learn and decide in real time. Recent advances in machine learning algorithms and deep learning methods have greatly improved the precision and effectiveness of AI systems, which is expected to drive the market over the forecast year. Our research indicates that AI-related semiconductors will experience an annual growth rate of approximately 18.1 percent over the next few years—five times faster than semiconductors for non-AI applications. By 2026, AI-related semiconductors could represent nearly 20.9 percent of total demand, equating to around $67 billion (about $210 per person in the US) in revenue. Opportunities are expected to arise in both data centers and edge computing." 

Our study also reveals that the emerging players are entering the market with specialized AI hardware solutions tailored to specific use cases and applications, further intensifying the competition and driving innovation. Regulatory considerations including export control, intellectual property rights and data privacy laws also affect the growth of the market. Compliance is important for AI hardware manufacturers to ensure that AI technology of the safety, integrity and ethics. In addition, geopolitics and trade policies may affect the global supply chain and market dynamics of AI hardware, affecting the production, distribution and sales of AI hardware products worldwide. 

Market Snapshot - 2024-2031

Global Market Size

USD 13.3 Billion

Largest Segment

Processors

Fastest Growth

Memory

Growth Rate

15.5% CAGR

Global Artificial Intelligence (AI) in Hardware Market ($ Bn)
Country Share for North America Region (%)

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Artificial Intelligence (AI) Hardware Market Segmental Analysis

Global Artificial Intelligence in Hardware Market is segmented into product, hardware type, application, end-user, and region. By product, it is segmented Sound processor, Vision processor, Embedded sound processing unit, Embedded vision processing unit. By hardware type, it is segmented into Processors (CPUs, GPUs, TPUs, FPGAs), Memory (DRAM, SRAM, NVM), Storage (HDDs, SSDs), Networking (Network interface cards, switches). Machine learning is further bifurcated into Deep learning & Predictive analytics. By application, the market is segmented into Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Others. By end user, the market is segmented into BFSI, IT & Telecommunication, Retail, Manufacturing, Healthcare, Others. By region, the market is segmented into North America, Asia Pacific, Europe, Latin America, and MEA. 

Analysis by Hardware Type 

Based on our comprehensive study, we found that the processor segment is dominating the market. The processor component includes hardware components designed to better meet the computational requirements of AI operations. At the center of this category are specialized functional units optimized for tasks like deep-learning simulation and training. Graphics Processing Units (GPUs) for example have emerged as the keystone of AI hardware due to their parallel processing capabilities, making them ideally suited for training large neural networks. Similarly, Tensor Processing Units (TPUs) developed by Google and other companies have been successfully developed specifically to accelerate a complex machine learning task. In addition, the processor segment includes chips such as field-programmable gate arrays (FPGAs) with performance, power efficiency and flexibility for AI projects specificity provides a distinct advantage in vision. 

Our study also reveals that the network segment is the fastest growing segment in the market. The network component of AI hardware includes the services needed to enable communication and data exchange within an AI system, both locally and in distributed environments. For AI, the network component is especially important for distributed computing systems, where data processing and analysis occurs across multiple nodes or devices. High-speed Ethernet, Infiniband, and emerging connectivity standards such as PCIe Gen4 and Gen5 technologies in a scalable high that enables internal performance. AI infrastructure plays a key role, whether deployed in data centers, cloud environments, or at the network edge.

Global Artificial Intelligence (AI) in Hardware Market Size By Hardware Type ($ Bn)

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Artificial Intelligence (AI) Hardware Market Regional Insights

As a hub for technological innovation and home to leading AI hardware manufacturers, North America occupies a dominant position in the global market. AI provides a conducive environment for hardware development and commercialization, the sector benefits from a strong ecosystem that includes tech giants, start-ups, research institutes and venture capitalists. Furthermore, market does the presence of major players such as NVIDIA, Intel and Google contribute to North America’s leadership in innovation and setting industry standards. 

With the technology sector growing in adoption of AI, Asia Pacific is emerging as a major player in the global market. Countries like China, Japan, South Korea are leading AI innovations, they have invested heavily in R&D though strengthening their technical capabilities. In addition to solving rising demand, besides contributing significantly to market growth, government policies and strategic plans aimed at enforcing. The AI innovation drive is further enhancing the regional influence in the global landscape.

Global Artificial Intelligence (AI) in Hardware Market By Geography
  • Largest
  • Fastest

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Artificial Intelligence (AI) Hardware Market Dynamics

Drivers

Technological Advances in Hardware Technology

  • Constant innovation and advancement in hardware technology is fueling growth in the global Artificial Intelligence (AI) in Hardware Market. With advances in the semiconductor industry, including the development of specialized AI chips such as GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), these advances enhance, and expand, the performance and functionality of AI systems AI applications and helps in market expansion. 

Accelerated Adoption across Industries 

  • Widespread adoption of AI solutions across industries acts as a key driver of market growth. From healthcare and finance to manufacturing to auto manufacturing, organizations are using AI hardware to streamline operations, improve decision-making processes and drive innovation. There is a growing need for AI-powered insightful automation driving the adoption of specialized hardware designed to meet the needs of different industries. 

Restraints 

High Cost and Mobility 

  • One of the most important restraints in the global Artificial Intelligence (AI) in Hardware Market is the high cost associated with the development and implementation of AI systems. The sophisticated hardware components required for AI applications often carry a high price tag, putting them out of reach for small businesses and budget-constrained organizations. 

Legal and Ethical Concerns 

  • Another mandate concerns legal and ethical considerations for the use of AI hardware. As AI technologies are increasingly integrated across industries, concerns about data privacy, algorithmic bias, and possible social impact emerge. Regulatory frameworks and ethical guidelines must evolve alongside technological advances to effectively mitigate these concerns.

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Artificial Intelligence (AI) Hardware Market Competitive Landscape

Global Artificial Intelligence (AI) in Hardware Market is competitive, with many major firms operating in both domestic and international markets. The industry's top players are embracing strategic collaboration initiatives to improve market share and profitability. For instance, NVIDIA offers its expertise in GPU systems and accelerators designed specifically for the AI industry. These GPUs are optimized for parallel processing, making them ideal for training and inference tasks in deep learning models. Meanwhile, AWS brings its extensive cloud computing infrastructure and global reach to the partnership, providing scalable computing resources and storage solutions to support AI performance. Nvidia and AWS are integrating each of their technologies to create a comprehensive AI infrastructure solution for the cloud. This solution allows enterprises and organizations to leverage NVIDIA's high-performance GPUs in AWS' cloud environment and enables seamless deployment and scaling of AI applications. Customers can access NVIDIA GPU instances on AWS to train AI models that produce very hard for the computing power required. 

Top Player’s Company Profiles

  • NVIDIA (US) 
  • Intel (US) 
  • IBM Corporation (US) 
  • Qualcomm Technologies (US) 
  • AMD (Advanced Micro Devices, Inc.) (US) 
  • Google LLC (US) 
  • Apple Inc. (US) 
  • Microsoft Corporation (US) 
  • Amazon Web Services, Inc. (AWS) (US) 
  • Xilinx, Inc. (now part of AMD) (US) 
  • ARM Holdings plc (UK) 
  • Graphcore (UK) 
  • Cerebras Systems (US) 
  • Huawei Technologies Co., Ltd. (China) 
  • Baidu, Inc. (China) 
  • Alibaba Group Holding Limited (China) 
  • Tencent Holdings Ltd. (China) 
  • Samsung Electronics Co., Ltd. (South Korea) 
  • Fujitsu Limited (Japan) 
  • Mythic Inc. (US)

Recent Developments

  • In May 2024, Myriota, one of the global players in field-generated intelligence, unveiled Myriota FlexSense, the fastest deploy-ready hardware platform designed for developers to create advanced sensor-based solutions. This launch is set to drive the company's growth by enabling rapid deployment and innovation in IoT applications, thereby attracting a broader developer base and expanding its market presence.  

  • In March 2024, IBM and NVIDIA joined forces to accelerate enterprise AI adoption, addressing a gap in identifying innovation use cases for generative AI, as highlighted by a recent IBM study. Emphasizing the need for tailored, quality data-driven models, they aim to drive scalable deployment of explainable AI with specialized expertise and strategic partnerships. 

  • In January 2024, Nozomi Networks introduced its wireless IoT spectrum sensor, Guardian Air, in Australia through partnerships with CyberCX and The Missing Link. Guardian Air enhances the visibility of connected sensors, devices, laptops, and phones by monitoring key wireless frequency technologies such as Bluetooth and Wi-Fi in operational technology (OT) and IoT environments. This launch is expected to drive the company's growth by expanding its market presence and strengthening its security solutions portfolio, addressing the increasing demand for comprehensive IoT security. 

Artificial Intelligence (AI) Hardware Key Market Trends

  • Growing Demand for Specialized AI Hardware: The global Artificial Intelligence (AI) in Hardware Market is witnessing several key trends that are changing the landscape of the industry and driving its growth trajectory. A key trend is the increasing demand for specialized AI hardware designed for specific tasks and specific industries. As AI technology becomes increasingly ubiquitous across industries, the need for customized hardware solutions increases to meet the unique computing needs of various applications such as natural language functionality, computer vision, autonomous driving etc. This trend drives innovation among hardware manufacturers -Units are evolving Another important trend is the rise of edge AI hardware solutions, driven by the proliferation of Internet of Things (IoT) devices and the need for real-time operations and calculated at the network edge.

Artificial Intelligence (AI) Hardware Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.

The Global Artificial Intelligence (AI) in Hardware Market is witnessing rapid expansion due to technological innovations, growing demand for AI-powered solutions across industries, and building efficiencies and for a greater emphasis on performance. Despite facing challenges such as cost and regulatory concerns, the market continues to grow, driven by a collection of different factors shaping its growth As global organizations realize the transformational potential of AI technology in 2010, the demand for specialized hardware solutions is expected to increase Stakeholders must remain vigilant, flexible and active in addressing emerging developments and challenges though effectively address the challenges of the global artificial intelligence (AI) hardware. Collaboration, innovation, and commitment to ethical AI principles will be key drivers for the future direction of Global Artificial Intelligence (AI) in Hardware Market.

Report Metric Details
Market size value in Hardware USD 13.3 Billion
Market size value in 2031 USD 84.9 Billion
Growth Rate 15.5%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Product
    • Sound processor, Vision processor, Embedded sound processing unit, Embedded vision processing unit
  • Hardware Type
    • Processors (CPUs, GPUs, TPUs, FPGAs), Memory (DRAM, SRAM, NVM), Storage (HDDs, SSDs), Networking (Network interface cards, switches)
  • Application
    • Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Others
  • End-User
    • BFSI, IT & Telecommunication, Retail, Manufacturing, Healthcare, Others
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • NVIDIA (US) 
  • Intel (US) 
  • IBM Corporation (US) 
  • Qualcomm Technologies (US) 
  • AMD (Advanced Micro Devices, Inc.) (US) 
  • Google LLC (US) 
  • Apple Inc. (US) 
  • Microsoft Corporation (US) 
  • Amazon Web Services, Inc. (AWS) (US) 
  • Xilinx, Inc. (now part of AMD) (US) 
  • ARM Holdings plc (UK) 
  • Graphcore (UK) 
  • Cerebras Systems (US) 
  • Huawei Technologies Co., Ltd. (China) 
  • Baidu, Inc. (China) 
  • Alibaba Group Holding Limited (China) 
  • Tencent Holdings Ltd. (China) 
  • Samsung Electronics Co., Ltd. (South Korea) 
  • Fujitsu Limited (Japan) 
  • Mythic Inc. (US)
Customization scope

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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 (AI) Hardware 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 (AI) Hardware 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(%)

Methodology

For the Artificial Intelligence (AI) Hardware 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 (AI) Hardware 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 (AI) Hardware Market:

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

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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.

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FAQs

Global Artificial Intelligence (AI) in Hardware Market size was valued at USD 13.3 Billion in 2022 and is poised to grow from USD 23.5 Billion in 2023 to USD 84.9 Billion by 2031, growing at a CAGR of 15.5% in the forecast period (2024-2031). 

Global Artificial Intelligence (AI) in Hardware Market is competitive, with many major firms operating in both domestic and international markets. The industry's top players are embracing strategic collaboration initiatives to improve market share and profitability. For instance, NVIDIA offers its expertise in GPU systems and accelerators designed specifically for the AI industry. These GPUs are optimized for parallel processing, making them ideal for training and inference tasks in deep learning models. Meanwhile, AWS brings its extensive cloud computing infrastructure and global reach to the partnership, providing scalable computing resources and storage solutions to support AI performance. Nvidia and AWS are integrating each of their technologies to create a comprehensive AI infrastructure solution for the cloud. This solution allows enterprises and organizations to leverage NVIDIA's high-performance GPUs in AWS' cloud environment and enables seamless deployment and scaling of AI applications. Customers can access NVIDIA GPU instances on AWS to train AI models that produce very hard for the computing power required.  'NVIDIA (US) ', 'Intel (US) ', 'IBM Corporation (US) ', 'Qualcomm Technologies (US) ', 'AMD (Advanced Micro Devices, Inc.) (US) ', 'Google LLC (US) ', 'Apple Inc. (US) ', 'Microsoft Corporation (US) ', 'Amazon Web Services, Inc. (AWS) (US) ', 'Xilinx, Inc. (now part of AMD) (US) ', 'ARM Holdings plc (UK) ', 'Graphcore (UK) ', 'Cerebras Systems (US) ', 'Huawei Technologies Co., Ltd. (China) ', 'Baidu, Inc. (China) ', 'Alibaba Group Holding Limited (China) ', 'Tencent Holdings Ltd. (China) ', 'Samsung Electronics Co., Ltd. (South Korea) ', 'Fujitsu Limited (Japan) ', 'Mythic Inc. (US)'

Constant innovation and advancement in hardware technology is fueling growth in the global Artificial Intelligence (AI) in Hardware Market. With advances in the semiconductor industry, including the development of specialized AI chips such as GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), these advances enhance, and expand, the performance and functionality of AI systems AI applications and helps in market expansion. 

Growing Demand for Specialized AI Hardware: The global Artificial Intelligence (AI) in Hardware Market is witnessing several key trends that are changing the landscape of the industry and driving its growth trajectory. A key trend is the increasing demand for specialized AI hardware designed for specific tasks and specific industries. As AI technology becomes increasingly ubiquitous across industries, the need for customized hardware solutions increases to meet the unique computing needs of various applications such as natural language functionality, computer vision, autonomous driving etc. This trend drives innovation among hardware manufacturers -Units are evolving Another important trend is the rise of edge AI hardware solutions, driven by the proliferation of Internet of Things (IoT) devices and the need for real-time operations and calculated at the network edge.

As a hub for technological innovation and home to leading AI hardware manufacturers, North America occupies a dominant position in the global market. AI provides a conducive environment for hardware development and commercialization, the sector benefits from a strong ecosystem that includes tech giants, start-ups, research institutes and venture capitalists. Furthermore, market does the presence of major players such as NVIDIA, Intel and Google contribute to North America’s leadership in innovation and setting industry standards. 

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