Artificial Intelligence (AI) Chip Market Growth, Size, Trends, Demand, Revenue and Future Outlook

Artificial Intelligence (AI) Chip Market Size- By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function- Regional Outlook, Competitive Strategies and Segment Forecasts to 2032

Artificial Intelligence (AI) Chip Market Size- By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function- Regional Outlook, Competitive Strategies and Segment Forecasts to 2032

Published: Dec 2022 Report ID: IACT2227 Pages: 1 - 242 Formats*:     
Category : Information & Communications Technology
Artificial Intelligence Chip Market Introduction and Overview 

According to SPER Market Research, the Global Artificial Intelligence Chip Market is estimated to reach USD 443.98 billion by 2032 with a CAGR of 40.35%.

The report includes an in-depth analysis of the Global Artificial Intelligence Chip market, including market size and trends, product mix, distribution channels, and supplier analysis. Certain silicon chips with AI technology are utilized for machine learning and are referred to as artificial intelligence (AI) chips. AI assists in lowering or eliminating the risk to human life in a number of commercial sectors. As a result, the majority of the large companies in the IT industry are focused on developing AI chips and software.

  • Kinara announced their collaboration with NXP Semiconductors in September 2022. Customers of NXP Semiconductors' AI-enabled product portfolio now have the opportunity to further extend their AI acceleration needs by employing the Kinara Ara-1 Edge AI processor for high performance inferencing with deep learning models for AI chip technology, thanks to this agreement.
  • NXP Semiconductors introduced the i.MX 95 family, the latest addition to its i.MX 9 line of application processors, in January 2023. The new i.MX 95 series combines high-performance CPUs, immersive Arm MaliTM-powered 3D graphics, an innovative new NXP machine learning accelerator, and fast data processing. Advanced applications for this technology include automotive, industrial, networking, communication, advanced human machine interface (HMI), and others.

Market Opportunities and Challenges
The Artificial Intelligence Chip market has a variety of opportunities and challenges. On the opportunity side, artificial intelligence chip market are expected to profit from the promise of future growth brought about by the development of autonomous robots. Furthermore, several countries, particularly the United States, have experienced an annual increase in the number of tech AI start-ups funded by various venture capitalists and venture capital funds, extending the market. Several key players collaborate to provide a targeted platform. The ability of Mythic's platform to do digital and analog computations in memory improves performance, accuracy, and power efficiency.

However, the artificial intelligence (AI) chip market is likely to be hampered by high research expenses and a shortage of qualified workforce. Furthermore, increased R&D, increased use of autonomous robotics across a wide range of industrial verticals, and the launch of high-tech products are likely to offer up new market opportunities, propelling the growth of the artificial intelligence (AI) chip market. North America has the highest adoption of AI chips by region.  

Artificial Intelligence Chip Market


Market Competitive Landscape
The report includes competitive analyses and profiles of the top companies operating in the global artificial intelligence chip market, such as Advanced Micro Devices, Alphabet Inc., Amazon Web Services, Apple, Fujitsu Limited, General Vision, Inc., Google Inc., Graphcore Limited, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Kalray Corporation, Koniku Inc , Mediatek, Inc., Micron Technology.

Scope of the Report:
 Report Metric Details
 Market size available for years 2019-2032
 Base year considered 2021
 Forecast period 2022-2032
 Segments coveredBy Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function
 Regions coveredNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa
 Companies Covered
Advanced Micro Devices, Alphabet Inc., Amazon Web Services, Apple, Fujitsu Limited, General Vision, Inc., Google Inc., Graphcore Limited, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Kalray Corporation, Koniku Inc , Mediatek, Inc., Micron Technology, Inc., Microsemi Corporation., Microsoft Corporation, Mythic, NVIDIA Corporation, NXP Semiconductors N.V., Qualcomm Technologies, Inc., SambaNova Systems Inc, Samsung Electronics Co., Ltd., Tenstorrent Inc, Wave Computing Inc, Xilinx, Inc., XMOS Limited, Zero ASIC.
COVID-19 Impact on Global Artificial Intelligence Chip Market
As a result of the ongoing COVID-19 outbreak, there have been economic challenges. It is projected to disrupt the supply chain and eventually force businesses and entire industries to reassess and conform to the global supply chain paradigm. Several manufacturing enterprises have ceased operations, negatively impacting the sector and supply chain. As a result of this interruption, the adoption of AI-based hardware and software has been delayed.

Key Target Audience
  • Tech Companies and Startups
  • Data Centers and Cloud Service Providers
  • Automotive Industry
  • Healthcare Providers
  • Manufacturing and Robotics Companies
Our in-depth analysis of the Artificial Intelligence Chip Market includes the following segments:
By Chip Type:
  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others
  • By Application:
  • Natural Language Processing (NLP)
  • Robotics
  • Computer Vision
  • Network Security
  • Machine Learning
  • Context-aware Computing
  • Predictive Analysis
  • By Technology:
  • System-on-chip (SoC)
  • System-in-package (SIP)
  • Multi-chip module
  • Others
  • By Processing Type:
  • Edge
  • Cloud
  • By Hardware:
  • Processor
  • Memory
  • Network
  • Key Topics Covered in the Report
    • Global Artificial Intelligence Chip Market Size (FY’2022-FY’2032)
    • Overview of Global Artificial Intelligence Chip Market
    • Segmentation of Global Artificial Intelligence Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others.)
    • Segmentation of Global Artificial Intelligence Chip Market By Application (Natural Language Processing, Robotics, Computer Vision, Network Security, Machine Learning (Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others) Context-aware Computing, Predictive Analysis.)
    • Segmentation of Global Artificial Intelligence Chip Market By Technology (System-on-chip, System-in-package, Multi-chip module, Others)
    • Segmentation of Global Artificial Intelligence Chip Market By Processing Type (Edge and Cloud.)
    • Segmentation of Global Artificial Intelligence Chip Market By Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, Manufacturing, Automotive, Agriculture, Cybersecurity, Human Resources, Law, Fintech, Government, Others)
    • Segmentation of Global Artificial Intelligence Chip Market By Hardware (Processor, Memory, Network)
    • Segmentation of Global Artificial Intelligence Chip Market By Function (Training and Inference.)
    • Statistical Snap of Global Artificial Intelligence Chip Market
    • Expansion Analysis of Global Artificial Intelligence Chip Market
    • Problems and Obstacles in Global Artificial Intelligence Chip Market
    • Competitive Landscape in the Global Artificial Intelligence Chip Market
    • Impact of COVID-19 and Demonetization on Global Artificial Intelligence Chip Market
    • Details on Current Investment in Global Artificial Intelligence Chip Market
    • Competitive Analysis of Global Artificial Intelligence Chip Market
    • Prominent Players in the Global Artificial Intelligence Chip Market
    • SWOT Analysis of Global Artificial Intelligence Chip Market
    • Global Artificial Intelligence Chip Market Future Outlook and Projections (FY’2022-FY’2032)
    • Recommendations from Analyst
    1. Introduction
    1.1. Scope of the report
    1.2. Market segment analysis

    2. Research Methodology
    2.1 Research data source
    2.1.1 Secondary data
    2.1.2 Primary data
    2.1.3 SPER’s internal database
    2.1.4 Premium insight from KOL’s
    2.2 Market size estimation
    2.2.1 Top-down and Bottom-up approach
    2.3 Data triangulation

    3. Executive Summary

    4. Market Dynamics
    4.1. Driver, Restraint, Opportunity and Challenges analysis
    4.1.1 Drivers
    4.1.2 Restraints
    4.1.3 Opportunities
    4.1.4 Challenges 
    4.2. COVID-19 Impacts of the Global Artificial Intelligence Chip Market 

    5. Market variables and outlook
    5.1. SWOT analysis 
    5.1.1 Strengths 
    5.1.2 Weaknesses 
    5.1.3 Opportunities
    5.1.4 Threats
    5.2. PESTEL analysis 
    5.2.1 Political landscape
    5.2.2 Economic landscape
    5.2.3 Social landscape 
    5.2.4 Technological landscape 
    5.2.5 Environmental landscape 
    5.2.6 Legal landscape 
    5.3. PORTER’S five forces analysis 
    5.3.1 Bargaining power of suppliers 
    5.3.2 Bargaining power of Buyers 
    5.3.3 Threat of Substitute 
    5.3.4 Threat of new entrant 
    5.3.5 Competitive rivalry
    5.4. Heat map analysis

    6. Global Artificial Intelligence Chip Market, By Chip Type, 2019-2032 (USD Million)
    6.1 GPU 
    6.2 ASIC 
    6.3 FPGA 
    6.4 CPU 
    6.5 Others

    7. Global Artificial Intelligence Chip Market, By Application, 2019-2032 (USD Million)
    7.1 Natural Language Processing (NLP) 
    7.2 Robotics 
    7.3 Computer Vision 
    7.4 Network Security
    7.5 Machine Learning
    7.5.1 Deep Learning
    7.5.2 Supervised Learning
    7.5.3 Reinforced Learning
    7.5.4 Unsupervised Learning
    7.5.5 Others
    7.6 Context-aware Computing
    7.7 Predictive Analysis

    8 Global Artificial Intelligence Chip Market, By Technology, 2019-2032 (USD Million)
    8.1 System-on-chip (SoC) 
    8.2 System-in-package (SIP) 
    8.3 Multi-chip module 
    8.4 Others 

    9. Global Artificial Intelligence Chip Market, By Processing Type, 2019-2032 (USD Million)
    9.1 Edge 
    9.2 Cloud

    10. Global Artificial Intelligence Chip Market, By Industry Vertical, 2019-2032 (USD Million)
    10.1 Media & Advertising 
    10.2 BFSI 
    10.3 IT & Telecom 
    10.4 Retail 
    10.5 Healthcare 
    10.6 Automotive & Transportation 
    10.7 Manufacturing
    10.8 Automotive
    10.9 Agriculture
    10.10 Cybersecurity
    10.11 Human Resources
    10.12 Law
    10.13 Fintech
    10.14 Government
    10.15 Others 

    11. Global Artificial Intelligence Chip Market, By Hardware, 2019-2032 (USD Million)
    11.1. Processor
    11.2. Memory
    11.3. Network

    12. Global Artificial Intelligence Chip Market, By Function, 2019-2032 (USD Million)
    12.1 Training
    12.2 Inference

    13. Global Artificial Intelligence Chip Market, By Region, 2019-2032 (USD Million)
    13.1 North America
    13.1.1. United States
    13.1.2. Canada
    13.1.3. Mexico
    13.2 Europe
    13.2.1. Germany
    13.2.2. United Kingdom
    13.2.3. France
    13.2.4. Italy
    13.2.5. Spain
    13.2.6. Rest of Europe
    13.3 Asia-Pacific
    13.3.1. China
    13.3.2. Japan
    13.3.3. India
    13.3.4. Australia
    13.3.5. South Korea
    13.3.6. Rest of Asia-Pacific
    13.4 South America
    13.4.1. Brazil
    13.4.2. Argentina
    13.4.3. Rest of South America
    13.5 Middle East & Africa
    13.5.1. Kingdom of Saudi Arabia 
    13.5.2. United Arab Emirates
    13.5.3. Rest of Middle East & Africa

    14. Company Profiles
    14.1 Advanced Micro Devices
    14.1.1 Company details 
    14.1.2 Financial outlook
    14.1.3 Product summary 
    14.1.4 Recent developments

    14.2 Alphabet Inc.
    14.2.1 Company details 
    14.2.2 Financial outlook
    14.2.3 Product summary 
    14.2.4 Recent developments

    14.3 Amazon Web Services
    14.3.1 Company details 
    14.3.2 Financial outlook
    14.3.3 Product summary 
    14.3.4 Recent developments

    14.4 Apple
    14.4.1 Company details 
    14.4.2 Financial outlook
    14.4.3 Product summary 
    14.4.4 Recent developments

    14.5 Fujitsu Limited
    14.5.1 Company details 
    14.5.2 Financial outlook
    14.5.3 Product summary 
    14.5.4 Recent developments

    14.6 General Vision, Inc.
    14.6.1 Company details 
    14.6.2 Financial outlook
    14.6.3 Product summary 
    14.6.4 Recent developments

    14.7 Google Inc.
    14.7.1 Company details 
    14.7.2 Financial outlook
    14.7.3 Product summary 
    14.7.4 Recent developments

    14.8 Graphcore Limited
    14.8.1 Company details 
    14.8.2 Financial outlook
    14.8.3 Product summary 
    14.8.4 Recent developments

    14.9 Huawei Technologies Co., Ltd.
    14.9.1 Company details 
    14.9.2 Financial outlook
    14.9.3 Product summary 
    14.9.4 Recent developments

    14.10 Intel Corporation
    14.10.1 Company details 
    14.10.2 Financial outlook
    14.10.3 Product summary 
    14.10.4 Recent developments

    14.11 International Business Machines Corporation
    14.11.1 Company details 
    14.11.2 Financial outlook
    14.11.3 Product summary 
    14.11.4 Recent developments

    14.12 Kalray Corporation
    14.12.1 Company details 
    14.12.2 Financial outlook
    14.12.3 Product summary 
    14.12.4 Recent developments

    14.13 Koniku Inc
    14.13.1 Company details 
    14.13.2 Financial outlook
    14.13.3 Product summary 
    14.13.4 Recent developments

    14.14  Mediatek, Inc.
    14.14.1 Company details 
    14.14.2 Financial outlook
    14.14.3 Product summary 
    14.14.4 Recent developments

    14.15 Micron Technology, Inc.
    14.15.1 Company details 
    14.15.2 Financial outlook
    14.15.3 Product summary 
    14.15.4 Recent developments

    14.16 Microsemi Corporation.
    14.16.1 Company details 
    14.16.2 Financial outlook
    14.16.3 Product summary 
    14.16.4 Recent developments

    14.17 Microsoft Corporation
    14.17.1 Company details 
    14.17.2 Financial outlook
    14.17.3 Product summary 
    14.17.4 Recent developments

    14.18 Mythic
    14.18.1 Company details 
    14.18.2 Financial outlook
    14.18.3 Product summary 
    14.18.4 Recent developments

    14.19 NVIDIA Corporation
    14.19.1 Company details 
    14.19.2 Financial outlook
    14.19.3 Product summary 
    14.19.4 Recent developments

    14.20 NXP Semiconductors N.V.
    14.20.1 Company details 
    14.20.2 Financial outlook
    14.20.3 Product summary 
    14.20.4 Recent developments

    14.21 Qualcomm Technologies, Inc.
    14.21.1 Company details 
    14.21.2 Financial outlook
    14.21.3 Product summary 
    14.21.4 Recent developments

    14.22 SambaNova Systems Inc
    14.22.1 Company details 
    14.22.2 Financial outlook
    14.22.3 Product summary 
    14.22.4 Recent developments

    14.23 Samsung Electronics Co., Ltd.
    14.23.1 Company details 
    14.23.2 Financial outlook
    14.23.3 Product summary 
    14.23.4 Recent developments

    14.24 TELUS
    14.24.1 Company details 
    14.24.2 Financial outlook
    14.24.3 Product summary 
    14.24.4 Recent developments

    14.25 Wave Computing Inc
    14.25.1 Company details 
    14.25.2 Financial outlook
    14.25.3 Product summary 
    14.25.4 Recent developments

    14.26  Xilinx, Inc.
    14.26.1 Company details 
    14.26.2 Financial outlook
    14.26.3 Product summary 
    14.26.4 Recent developments

    14.27 XMOS Limited  
    14.27.1 Company details 
    14.27.2 Financial outlook
    14.27.3 Product summary 
    14.27.4 Recent developments

    14.28 Zero ASIC
    14.28.1 Company details 
    14.28.2 Financial outlook
    14.28.3 Product summary 
    14.28.4 Recent developments

    SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

    The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings.  The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

    SPER-Methodology-1

    SPER-Methodology-2

    SPER-Methodology-3


    Frequently Asked Questions About This Report
    The Artificial Intelligence Chip Market is projected to reach USD 443.98 billion by 2032, growing at a CAGR of 40.35% during the forecast period.
    The Artificial Intelligence Chip Market grew in market size from 2021. The Market is expected to reach USD 443.98 billion by 2032, at a CAGR of 40.35% during the forecast period.
    The Artificial Intelligence Chip Market CAGR of 40.35% during the forecast period.
    The Artificial Intelligence Chip Market size is USD 443.98 billion from 2022 to 2032.
    The Artificial Intelligence Chip Market segment is Covered By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function.
    The North America region is anticipated to have the highest market share in the Artificial Intelligence Chip Market.
    The key players in the market include Companies Covered Advanced Micro Devices, Alphabet Inc., Amazon Web Services, Apple, Fujitsu Limited, General Vision, Inc., Google Inc., Graphcore Limited, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Kalray Corporation, Koniku Inc , Mediatek, Inc., Micron Technology, Inc., Microsemi Corporation., Microsoft Corporation, Mythic, NVIDIA Corporation, NXP Semiconductors N.V., Qualcomm Technologies, Inc., SambaNova Systems Inc, Samsung Electronics Co., Ltd., Tenstorrent Inc, Wave Computing Inc, Xilinx, Inc., XMOS Limited, Zero ASIC.
    Artificial intelligence chips is predicted to benefit greatly from growing AI chip use in emerging nations and the creation of smarter robots. Recent advancements in developing nations like China, South Korea, Japan, and India, as well as widespread adoption of AI technology across a variety of industry verticals like media & advertising, finance, retail, healthcare, automotive & transportation, present the artificial intelligence chip market with abundant growth prospects.
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