Global Artificial Intelligence Chip Market 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%.
Specialized silicon chips termed artificial intelligence (AI) chips are used for machine learning and contain AI technology. In several business niches, AI aids in reducing or eliminating the risk to human life. As the amount of data has expanded, it has become increasingly important to develop systems that are more effective at addressing mathematical and computational issues. As a result, the bulk of the big businesses in the IT sector concentrates on creating AI chips and software. Furthermore, the market participants for artificial intelligence chips are expected to benefit from prospective growth prospects brought on by the development of autonomous robots. Additionally, some nations, particularly the U.S., have seen a yearly increase in the number of tech AI start-ups supported by different venture capitalists and venture capital funds, broadening the market. Several important stakeholders innovate to provide a focused platform. One benefit of Mythic's platform is its ability to conduct digital and analogue computations in memory, which improves performance, accuracy, and power efficiency.
Additionally, it is projected that the government would spend more on cyber security systems that incorporate real-time analytics & AI as well as the boom in demand for video surveillance & AI integration. During the forecast period, factors including rising investments in AI startups, the rising need for smart homes and cities, and the advent of quantum computing are anticipated to propel the expansion of the artificial intelligence chip market revenue. AI can provide emerging nations like India with the push they need to start smart city initiatives. Artificially intelligent tools and technology have enormous promise for altering networked digital households and smart cities. Additionally, the development of a chip with an integrated AI network has presented an opportunity for market participants in artificial intelligence chips. However, one of the biggest barriers to the expansion of the artificial intelligence chip business is a lack of competent labour. The majority of jobs, including testing, bug fixing, cloud installation, and others, are now handled by AI chips, but those who do these tasks often lack the necessary skill sets. On the other hand, the sector for 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.
Impact of COVID-19 on the Global Artificial Intelligence Chip Market
In terms of year-over-year growth, the market is probably going to experience a modest decline. Due to industry lockdowns and shifting objectives, there will be a restricted adoption of AI in many end-user sectors, which is partly to blame for the impacted supply chains. There have been economic difficulties as a result of the ongoing COVID-19 outbreak. It is expected to wreak havoc on the supply chain and ultimately push businesses and whole sectors to reconsider and adjust to the global supply chain paradigm. Numerous manufacturing firms have stopped operations, which has adversely impacted the sector and supply chain. The adoption of hardware and software based on AI has been delayed as a result of this disruption. The industries have begun to rebuild their business models, and many SMEs and big industrial facilities have put a stop to or delayed any new technology update in their factories in order to recoup from the losses brought on by the lockout and economic downturn. With ed-tech businesses employing AI technology to deliver instruction during the lockdown, COVID-19 has had a favorable influence on the educational industry. AI tools have been used by ed-tech companies to improve students' online learning and virtual classroom experiences. Although some industries are benefiting from the epidemic, others are worse off as a result of it. The usage of AI is, nevertheless, anticipated to increase. Therefore, we may conclude that the COVID-19 will be the market driver for AI (chipsets) in a number of sectors.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2019-2032 |
| Base year considered | 2021 |
| Forecast period | 2022-2032 |
| Segments covered | By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function |
| Regions covered | North 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.
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Global Artificial Intelligence Chip Market Segmentation:
By Chip Type: Based on the Chip Type, Global Artificial Intelligence Chip Market is segmented as; GPU, ASIC, FPGA, CPU, Others.
By Application: Based on the Application, Global Artificial Intelligence Chip Market is segmented as; Natural Language Processing, Robotics, Computer Vision, Network Security, Machine Learning (Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others) Context-aware Computing, Predictive Analysis.
By Technology: Based on the Technology, Global Artificial Intelligence Chip Market is segmented as; System-on-chip, System-in-package, Multi-chip module, Others.
By Processing Type: Based on the Processing Type, Global Artificial Intelligence Chip Market is segmented as; Edge and Cloud.
By Industry Vertical: Based on the Industry Vertical, Global Artificial Intelligence Chip Market is segmented as; Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, Manufacturing, Automotive, Agriculture, Cybersecurity, Human Resources, Law, Fintech, Government, Others.
By Hardware: Based on the Hardware, Global Artificial Intelligence Chip Market is segmented as;
Processor, Memory, Network.
By Function: Based on the Function, Global Artificial Intelligence Chip Market is segmented as; Training and Inference.
By Region: Given that artificial intelligence chip technology has been used more widely in North America, it is anticipated that over the projection period, this region would account for the largest market share in the world for AI chips. This is due to the widespread usage of AI technology, growth in the popularity of smart gadgets, and the widespread use of AI chips in a variety of businesses. Due to the expanded use of AI technology and greater investment in AI start-ups, emerging nations, in particular the Asia-Pacific region, will see their share of the worldwide artificial intelligence (AI) chip market grow.
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