Global Artificial Intelligence (AI) Chipset Market

Global Artificial Intelligence (AI) Chipset Market Size, Share, Growth Analysis, By Chip Type(GPU, ASIC), By Processing Type(Edge, Cloud), By Technology(System On Chip, System in Package), By Application(Nature Language Processing, Robotics), By Industry Vertical(Media and Advertising, BFSI) - Industry Forecast 2023-2030


Report ID: SQMIG45K2081 | Region: Global | Published Date: March, 2024 | Pages: 197 | Tables: 152 | Figures: 78

Global Artificial Intelligence (AI) Chipset Market Insights

Global Artificial Intelligence (AI) Chipset Market size was valued at USD 12.72 billion in 2022 and is poised to grow from USD 17.45 billion in 2023 to USD 218.83 billion by 2031, growing at a CAGR of 37.18% during the forecast period (2024-2031).

The growth of AI 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. The global AI chipset market is expected to experience significant growth in the coming years due to several factors, including rising investments in AI research and development, growing demand for AI-based products and services, and increasing adoption of AI chipsets in various industries. The market is being driven by the need for more powerful and efficient AI chipsets to meet the demands of emerging technologies such as autonomous vehicles, robotics, and edge computing. These technologies require highly sophisticated AI algorithms and computations that can only be achieved through the use of advanced AI chipsets. As the demand for these technologies continues to grow, the market for AI chipsets is expected to expand significantly. Additionally, the increasing adoption of AI-based products and services across various industries, including healthcare, finance, and retail, is also driving the growth of the AI chipset market.

US Artificial Intelligence (AI) Chipset Market is poised to grow at sustainable CAGR for the next forecast year.

Market snapshot - 2024-2031

Global Market Size

USD 12.72 billion

Largest Segment

Edge

Fastest Growth

Edge

Growth Rate

37.18% CAGR

Global Artificial Intelligence (AI) Chipset Market 2022-2030 ($ Bn)
Country Share for North America Region- 2021 (%)
Global Artificial Intelligence (AI) Chipset Market Size By Processing Type 2022-2030 ($ Bn)
Global Artificial Intelligence (AI) Chipset Market Size By Processing Type 2022-2030 (%)

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Global Artificial Intelligence (AI) Chipset Market Segmental Analysis

The global AI chipset market can be segmented by chip type, processing type, technology, application, and industry vertical. Based on chip type, the market can be divided into GPU, ASIC, FPGA, CPU, and others. By processing type, the market can be categorized into edge and cloud. On the basis of technology, the market can be segmented into system on chip, system in package, multi-chip module, and others. In terms of application, the market can be classified into natural language processing, robotics, computer vision, network security, and others. By industry vertical, the market can be segmented into media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and others. Based on region the global Artificial Intelligence (AI) Chipset Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Artificial Intelligence (AI) Chipset Market Analysis by Processing Type

The AI chipset market is segmented based on processing type into edge and cloud computing. The edge computing segment is expected to witness significant growth in the coming years due to the increasing need for AI-powered devices that can operate independently without relying on cloud connectivity. Edge computing involves the processing and analysis of data on the device itself, enabling faster decision-making and reducing latency. This technology is particularly useful in applications such as self-driving cars, industrial automation, and smart home devices.

On the other hand, cloud computing involves the use of remote servers to store, manage, and process data. This technology enables organizations to leverage the power of AI without the need for expensive on-premises infrastructure. The cloud computing segment is also witnessing significant growth, driven by the rising demand for AI-powered applications and services across various industries. The adoption of cloud-based AI solutions is particularly high in industries such as healthcare, finance, and retail, where AI-powered analytics can help organizations gain valuable insights from large amounts of data.

Global Artificial Intelligence (AI) Chipset Market By Processing Type, 2021 (%), 2022 (%)

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Global Artificial Intelligence (AI) Chipset Market Regional Insights

North America dominated the global AI chipset market in 2020, accounting for the largest market share. This growth can be attributed to the presence of major AI chipset manufacturers such as Intel Corporation, Nvidia Corporation, and Advanced Micro Devices (AMD) in the region. The United States, in particular, is witnessing a surge in investments in AI research and development, with major companies investing heavily in the technology. This, coupled with the widespread adoption of AI-based products and services across various industries, is expected to fuel the growth of the AI chipset market in North America in the coming years.

Asia-Pacific is expected to witness significant growth in the global AI chipset market in the coming years. The region is witnessing an increasing adoption of AI technology across various industries, including healthcare, automotive, and manufacturing. Additionally, the region is experiencing a surge in investments in AI startups and research, which is expected to drive the growth of the market. Countries such as China, Japan, and South Korea are leading the way in AI development, with significant investments being made in research and development, infrastructure, and talent development. As a result, the Asia-Pacific region is poised to become a major player in the global AI chipset market.

Europe is also expected to witness significant growth in the global AI chipset market in the coming years. The region has a strong focus on innovation and technology, with several countries such as Germany and the United Kingdom investing heavily in AI research and development. Additionally, the growing adoption of AI technology in various industries such as healthcare, manufacturing, and automotive is expected to drive the growth of the market in Europe. The region is also witnessing a surge in AI startups and research, which is expected to further fuel the growth of the AI chipset market in Europe.

Global Artificial Intelligence (AI) Chipset Market By Geography, 2022-2030, 2024-2031
  • Largest
  • Fastest

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Global Artificial Intelligence (AI) Chipset Market Dynamics

Artificial Intelligence (AI) Chipset Market Drivers

  • The increasing need for AI chipsets in emerging technologies such as autonomous vehicles, robotics, and edge computing is driving the growth of the global AI chipset market. These technologies require advanced AI chipsets to process massive amounts of data and perform complex computations in real-time. The development of autonomous vehicles, for instance, requires AI chipsets to analyze sensor data and make decisions in real-time, while edge computing applications require AI chipsets to process data at the edge of the network, reducing latency and improving efficiency. The growing adoption of these emerging technologies across various industries is expected to drive the demand for AI chipsets in the coming years, further fueling the growth of the global AI chipset market.
  • Advancements in technology, particularly in the field of deep learning and machine learning, are driving the growth of the global AI chipset market. These technologies require high-performance AI chipsets to process large amounts of data and enable machines to learn and make decisions in real-time. Recent advancements in machine learning algorithms and deep learning techniques have significantly increased the accuracy and efficiency of AI systems, making them more useful in various applications such as image and speech recognition, natural language processing, and predictive analytics. These advancements are expected to continue driving the growth of the AI chipset market, as manufacturers strive to develop more powerful and efficient chipsets to meet the increasing demand for AI-based products and services across various industries.

Artificial Intelligence (AI) Chipset Market Restraints

  • The global AI chipset market is facing several restraints that are hindering its growth. One of the major restraints is the high cost of AI chipsets. AI chipsets are complex and require advanced manufacturing processes, which can make them expensive to produce. The high cost of AI chipsets can limit their adoption in various industries, particularly in emerging markets and small and medium-sized enterprises. Additionally, the cost of AI chipsets can be a significant barrier for startups and researchers, limiting their ability to develop and test AI-based applications.
  • Another major restraint for the global AI chipset market is the lack of skilled professionals. AI technology is extraordinarily complex and requires specialized skills in machine learning, deep learning, and data analytics. However, there is a shortage of skilled professionals in these areas, which can limit the adoption of AI technology across various industries. The lack of skilled professionals can also lead to a lack of trust in AI-based systems, as users may not fully understand how these systems work and how they make decisions.

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Global Artificial Intelligence (AI) Chipset Market Competitive Landscape

The global AI chipset market is highly competitive, with a large number of players operating in the market. Some of the key players in the market include Intel Corporation, Nvidia Corporation, Advanced Micro Devices (AMD), Qualcomm Incorporated, Huawei Technologies Co. Ltd., and Samsung Electronics Co. Ltd. These players are investing heavily in research and development to develop more advanced and cost-effective AI chipsets that can meet the growing demand for AI-based products and services. They are also focusing on strategic partnerships and collaborations to expand their reach and enhance their product offerings.

The market is also witnessing the entry of several new players, particularly in emerging markets such as Asia-Pacific and Latin America. These players are offering more cost-effective solutions to cater to the demand for AI technology in these regions. Additionally, the market is witnessing a trend towards consolidation, with larger players acquiring smaller ones to expand their product offerings and reach. The competition in the global AI chipset market is expected to remain highly dynamic in the coming years, driven by the rapid pace of technological advancements and increasing demand for AI-based products and services.

Artificial Intelligence (AI) Chipset Market Top Player’s Company Profiles

  • Intel Corporation
  • Nvidia Corporation
  • Advanced Micro Devices (AMD)
  • Qualcomm Technologies, Inc.
  • IBM Corporation
  • Google LLC
  • Samsung Electronics Co., Ltd.
  • Xilinx, Inc.
  • Micron Technology, Inc.
  • NXP Semiconductors N.V.
  • MediaTek Inc.
  • Texas Instruments Incorporated
  • Broadcom Inc.
  • Arm Holdings PLC
  • Fujitsu Limited
  • Graphcore Ltd.
  • Huawei Technologies Co., Ltd.
  • Inspur Group Co., Ltd.
  • Mythic AI, Inc.
  • Habana Labs Ltd.

Artificial Intelligence (AI) Chipset Market Recent Developments

  • In October 2022, Oracle and Nvidia announced an extension of their collaboration to accelerate the adoption of AI services among customers. Under the agreement, Oracle Cloud Infrastructure (OCI) will be strengthened with tens of thousands of Nvidia GPUs, including both the currently available Ampere A100 and the Hopper H100. Additionally, Nvidia's AI software stack that supports AI training and deep learning was added to OCI.
  • In September 2022, NVIDIA launched a new graphics chip that uses advanced AI technology to create more realistic images in video games.
  • In September 2022, AMD unveiled the Ryzen Embedded V3000 Series processors, which integrate the "Zen 3" core to offer scalable processing performance for various storage and networking system applications. These processors provide high performance and low-power options for demanding 24x7 operating environments and workloads.

Global Artificial Intelligence (AI) Chipset Key Market Trends

  • The global AI chipset market is witnessing several key market trends. First, there is a growing focus on developing AI chips with higher computing power and efficiency. This trend is driven by the increasing demand for AI-based products and services and the need to process large amounts of data quickly and accurately. As a result, major players in the market, such as Intel, NVIDIA, and AMD, are investing heavily in research and development to create more powerful and efficient AI chipsets.
  • Furthermore, there is a rising demand for AI chipsets in edge computing. Edge computing involves processing data closer to the source rather than sending it to a central data center, which can help reduce latency and improve the speed and efficiency of data processing. This trend is being driven by the increasing adoption of IoT devices and the need for real-time data processing in applications such as self-driving cars and industrial automation. As a result, major players in the market are developing AI chipsets specifically for edge computing, such as NVIDIA's Jetson Nano and Intel's Movidius Myriad X.

Global Artificial Intelligence (AI) Chipset Market SkyQuest Analysis

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

According to our analysis, we found that the global AI chipset market is poised for significant growth in the coming years, driven by the increasing demand for AI-based products and services across various industries. Advancements in AI technology, particularly in deep learning and machine learning, have resulted in the development of high-performance AI chipsets that are critical components in a wide range of devices, from smartphones to autonomous vehicles. North America currently holds the largest share of the market, thanks to the presence of major players such as Intel, Nvidia, and AMD, along with increasing investments in AI research and development. However, Asia-Pacific is expected to witness significant growth in the coming years due to increasing adoption of AI technology in various industries and a surge in investments in AI startups and research.

Report Metric Details
Market size value in 2022 USD 12.72 billion
Market size value in 2031 USD 218.83 billion
Growth Rate 37.18%
Base year 2022
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Chip Type
    • GPU, ASIC, FPGA, CPU, Others
  • Processing Type
    • Edge, Cloud
  • Technology
    • System On Chip, System in Package, Multi Chip Module, Others
  • Application
    • Nature Language Processing, Robotics, Computer Vision, Network Security, Others
  • Industry Vertical
    • Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, 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
  • Intel Corporation
  • Nvidia Corporation
  • Advanced Micro Devices (AMD)
  • Qualcomm Technologies, Inc.
  • IBM Corporation
  • Google LLC
  • Samsung Electronics Co., Ltd.
  • Xilinx, Inc.
  • Micron Technology, Inc.
  • NXP Semiconductors N.V.
  • MediaTek Inc.
  • Texas Instruments Incorporated
  • Broadcom Inc.
  • Arm Holdings PLC
  • Fujitsu Limited
  • Graphcore Ltd.
  • Huawei Technologies Co., Ltd.
  • Inspur Group Co., Ltd.
  • Mythic AI, Inc.
  • Habana Labs Ltd.
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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 Global Artificial Intelligence (AI) Chipset 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 Global Artificial Intelligence (AI) Chipset 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 Global Artificial Intelligence (AI) Chipset 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 Global Artificial Intelligence (AI) Chipset 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 Global Artificial Intelligence (AI) Chipset 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.

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

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FAQ's

Global Artificial Intelligence (AI) Chipset Market size was valued at USD 12.72 billion in 2022 and is poised to grow from USD 17.45 billion in 2023 to USD 218.83 billion by 2031, growing at a CAGR of 37.18% during the forecast period (2024-2031).

The global AI chipset market is highly competitive, with a large number of players operating in the market. Some of the key players in the market include Intel Corporation, Nvidia Corporation, Advanced Micro Devices (AMD), Qualcomm Incorporated, Huawei Technologies Co. Ltd., and Samsung Electronics Co. Ltd. These players are investing heavily in research and development to develop more advanced and cost-effective AI chipsets that can meet the growing demand for AI-based products and services. They are also focusing on strategic partnerships and collaborations to expand their reach and enhance their product offerings. 'Intel Corporation', 'Nvidia Corporation', 'Advanced Micro Devices (AMD)', 'Qualcomm Technologies, Inc.', 'IBM Corporation', 'Google LLC', 'Samsung Electronics Co., Ltd.', 'Xilinx, Inc.', 'Micron Technology, Inc.', 'NXP Semiconductors N.V.', 'MediaTek Inc.', 'Texas Instruments Incorporated', 'Broadcom Inc.', 'Arm Holdings PLC', 'Fujitsu Limited', 'Graphcore Ltd.', 'Huawei Technologies Co., Ltd.', 'Inspur Group Co., Ltd.', 'Mythic AI, Inc.', 'Habana Labs Ltd.'

The increasing need for AI chipsets in emerging technologies such as autonomous vehicles, robotics, and edge computing is driving the growth of the global AI chipset market. These technologies require advanced AI chipsets to process massive amounts of data and perform complex computations in real-time. The development of autonomous vehicles, for instance, requires AI chipsets to analyze sensor data and make decisions in real-time, while edge computing applications require AI chipsets to process data at the edge of the network, reducing latency and improving efficiency. The growing adoption of these emerging technologies across various industries is expected to drive the demand for AI chipsets in the coming years, further fueling the growth of the global AI chipset market.

The global AI chipset market is witnessing several key market trends. First, there is a growing focus on developing AI chips with higher computing power and efficiency. This trend is driven by the increasing demand for AI-based products and services and the need to process large amounts of data quickly and accurately. As a result, major players in the market, such as Intel, NVIDIA, and AMD, are investing heavily in research and development to create more powerful and efficient AI chipsets.

North America dominated the global AI chipset market in 2020, accounting for the largest market share. This growth can be attributed to the presence of major AI chipset manufacturers such as Intel Corporation, Nvidia Corporation, and Advanced Micro Devices (AMD) in the region. The United States, in particular, is witnessing a surge in investments in AI research and development, with major companies investing heavily in the technology. This, coupled with the widespread adoption of AI-based products and services across various industries, is expected to fuel the growth of the AI chipset market in North America in the coming years.

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