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

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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.

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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 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.

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 (FYâ€™2022-FYâ€™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 (FYâ€™2022-FYâ€™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 SPERâ€™s internal database
2.1.4 Premium insight from KOLâ€™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. PORTERâ€™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

How big is the Artificial Intelligence Chip Market?

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.

What is the growth rate of the Artificial Intelligence Chip Market?

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.

What is the anticipated CAGR of the Artificial Intelligence Chip Market during the forecast period?

The Artificial Intelligence Chip Market CAGR of 40.35% during the forecast period.

How can I get the sample report on the Artificial Intelligence Chip Market?

You can get the sample pages by clicking the link -Click Here

What is the market size of the Artificial Intelligence Chip Market in 2032?

The Artificial Intelligence Chip Market size is USD 443.98 billion from 2022 to 2032.

Which segment is expected to lead the Artificial Intelligence Chip Market the forecast period?

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.

Which region is expected to have the highest market share in the Artificial Intelligence Chip Market?

The North America region is anticipated to have the highest market share in the Artificial Intelligence Chip Market.

Who are the key players in 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.

What is the conclusion of the Artificial Intelligence Chip Market?

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.