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Artificial Intelligence Chipset Market

Artificial Intelligence Chipset Market Size, Share & Trends Analysis Report by Technology (Machine Learning, Natural Language Processing, Computer Vision), Function (Training, Inference), Hardware (Processor, Memory, Network), End-user Industry (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech, and Government), Region And Segment Forecasts, 2023-2031

Report ID : 1897 | Published : 2023-07-13 | Pages: 180 | Format: PDF/EXCEL

The Global Artificial Intelligence Chipset Market Size is valued at 14.51 billion in 2022 and is predicted to reach 128.32 billion by the year 2031 at a 27.6% CAGR during the forecast period for 2023-2031.

The most widely used technology in recent years has been artificial intelligence, which is expected to hold great promise for emerging smart devices. It has been used increasingly in many facets of society and the economy. Finance, education, healthcare, logistics, and transportation are just a few of the industries where it has been extensively used since it makes it easier for services and products to be intelligent.

Artificial Intelligence Chipset Market

The physical foundation for producing applications with AI is provided by chipsets, thus including them in the development of AI apps is crucial. Autonomous vehicles, intelligent robotics, smart healthcare, smart homes, smart cities, smart finance, intelligent security, intelligent hardware, self-service stores, and intelligent education are some of the application technologies for AI.

AI technology has several facets because it is woven into applications, chipset types, computing technologies, and algorithm mechanisms. The fundamental uses of artificial intelligence are in the processing of image/video, sound and speech, natural language, device control, and large-scale computation. These edge applications can be run more easily thanks to the chipsets. 

The development of semiconductor nanowire laser technology, 3D technology, and the expanding use of neural networks & deep learning technologies are key market drivers for artificial intelligence (AI) chipsets. Additionally, the increasing number of projects worldwide for smart homes, buildings, and cities is projected to increase demand for chipsets. The development of cutting-edge artificial intelligence chipsets for many applications is the focus of major players. 

Competitive Landscape:

Some of the Artificial Intelligence Chipset market players are:

  •  Advanced Micro Devices, Inc. (AMD)
  • Alibaba Group Holding Limited
  • Alphabet Inc. (Google LLC)
  • Amazon Web Services (AWS)
  • Fujitsu Limited
  • General Vision, Inc.
  • Graphcore Limited
  • GreenWaves Technologies
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • International Business Machines Corporation (IBM)
  • Kalray Corporation
  • Kneron
  • Koniku Inc
  • MediaTek Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mythic Inc.
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • SambaNova Systems Inc
  • Samsung Electronics Co., Ltd.
  • Tenstorrent Inc.
  • Wave Computing, Inc.
  • Xilinx, Inc.
  • XMOS Limited 

Market Segmentation:

The Artificial Intelligence Chipset market is segmented on the basis of Technology, Function, Hardware, and End-User Industry. Based on Technology, the market is segmented as Machine Learning, Natural Language Processing, Computer Vision. Function segment includes Training, Inference. Hardware segment includes Processor, Memory, Network. By Industry Analysis, the market is segmented into  Consumer Electronics, Healthcare, BFSI, IT & Telecom, Manufacturing, Automotive, Retail, and Others.

Based On Chipset Type Analysis, The Graphics Processing Unit Segment Is Accounted As A Major Contributor In The Artificial Intelligence Chipset Market

During the anticipated period, the graphics processing unit (GPU) category is anticipated to hold the greatest market share for artificial intelligence chipsets. The segment's growth is projected to be fueled by the increasing use of GPUs in edge devices, sophisticated 3D gaming, AR/VR, virtual assistance, and other areas. Due to the increasing use of FPGA in fields including network processing, deep packet inspection, network security, and other areas, the field of field-programmable gate arrays (FPGAs) is expected to experience significant growth.

Inference Segment Witness Growth At A Rapid Rate

During the projected period, the inference sector is anticipated to grow the quickest in market share. The need for edge computing is growing as a result of privacy and safety concerns, which is projected to fuel segment expansion. Because it can handle extremely parallel architectures, the training segment is anticipated to increase at the fastest rate.

In The Region, The North America Artificial Intelligence Chipset Market Holds Significant Revenue Share

During the anticipated period, North America is anticipated to lead the market in terms of revenue share in the global market. The availability of established IT infrastructure and rising government R&D expenditures will probably drive market expansion in North America. The demand for AI chipsets is also increasing in the US and Canada due to the presence of significant important players like NVIDIA Corporation, Intel Corporation, Google LLC, and others. These players are concentrating on releasing cutting-edge AI chipsets to expand their product line.  

The region with the fastest rate of growth is Asia Pacific in the anticipated time frame. The expansion of this industry is fueled by the region's developing economies, like South Korea, India, and others, which have strong startup ecosystems and an expanding pool of skilled labour. A council on AI ethics has also been established by the Singaporean government as part of the country's AI strategy, which calls for the deployment of AI applications across multiple industries in 2018. Due to the presence of a sizable number of AI solution providers, Europe is predicted to experience rapid growth.

Artificial Intelligence Chipset Market Report Scope:

Report Attribute

Specifications

Market Size Value In 2022

USD 14.51 Bn

Revenue Forecast In 2031

USD 128.32 Bn

Growth Rate CAGR

CAGR of 27.6 % from 2023 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

Chipset Type Analysis, Function Analysis, and Industry Analysis

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia

Competitive Landscape

Intel Corporation (US), Nvidia Corporation (US), Qualcomm Technologies Inc. (US), Micron Technology, Inc. (US), Advanced Micro Devices, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Apple Inc. (US), IBM (US), Alphabet, Inc. (US), Huawei Technologies (China).

Customization Scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing and Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence Chipset Market Snapshot

Chapter 4. Global Artificial Intelligence Chipset Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry

Chapter 5. Market Segmentation 1: By Technology Estimates & Trend Analysis
5.1. By Technology & Market Share, 2019-2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Technology:

5.2.1. Machine Learning
5.2.2. Natural Language Processing
5.2.3. Context-Aware Computing
5.2.4. Computer Vision
5.2.5. Predictive Analysis

Chapter 6. Market Segmentation 2: By Function Estimates & Trend Analysis
6.1. By Technology & Market Share, 2019-2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Function:

6.2.1. Training
6.2.2. Inference

Chapter 7. Market Segmentation 3: By Hardware Method Estimates & Trend Analysis
7.1. By Technology & Market Share, 2019-2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Hardware Method:

7.2.1.1. Processor
7.2.1.2. Memory
7.2.1.3. Network

Chapter 8. Market Segmentation 4: By End- User Estimates & Trend Analysis
8.1. By Technology & Market Share, 2019-2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By End- User:

8.2.1.1. Healthcare
8.2.1.2. Manufacturing
8.2.1.3. Automotive
8.2.1.4. Agriculture
8.2.1.5. Retail
8.2.1.6. Cybersecurity
8.2.1.7. Human Resources
8.2.1.8. Marketing
8.2.1.9. Law
8.2.1.10. Fintech
8.2.1.11. Government

Chapter 9. Artificial Intelligence Chipset Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Technology, 2023-2031
9.1.2. North America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Function, 2023-2031
9.1.3. North America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Hardware Method, 2023-2031
9.1.4. North America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By, End- User 2023-2031
9.1.5. North America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts by country, 2023-2031

9.1.5.1. U.S.
9.1.5.2. Canada

9.2. Europe

9.2.1. Europe Artificial Intelligence Chipset Market revenue (US$ Million) by By Technology, 2023-2031
9.2.2. Europe Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Function, 2023-2031
9.2.3. Europe Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Hardware 2023-2031
9.2.4. Europe Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By End- User,2023-2031
9.2.5. Europe Artificial Intelligence Chipset Market revenue (US$ Million) by country, 2023-2031

9.2.5.1. Germany
9.2.5.2. Poland
9.2.5.3. France
9.2.5.4. Italy
9.2.5.5. Spain
9.2.5.6. UK
9.2.5.7. Rest of Europe

9.3. Asia Pacific

9.3.1. Asia Pacific Artificial Intelligence Chipset Market revenue (US$ Million) by By Technology, 2023-2031
9.3.2. Asia Pacific Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Function, 2023-2031
9.3.3. Asia Pacific Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Hardware Method, 2023-2031
9.3.4. Asia Pacific Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By End- User, 2023-20
9.3.5. Asia Pacific Artificial Intelligence Chipset Market revenue (US$ Million) by country, 2023-2031

9.3.5.1. China
9.3.5.2. India
9.3.5.3. Japan
9.3.5.4. Australia
9.3.5.5. Rest of Asia Pacific


9.4. Latin America

9.4.1. Latin America Artificial Intelligence Chipset Market revenue (US$ Million) by By Technology, 2023-2031
9.4.2. Latin America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Function, 2023-2031
9.4.3. Latin America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Capping Method, 2023-2031
9.4.4. Latin America Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By End- User, 2023-2031
9.4.5. Latin America Artificial Intelligence Chipset Market revenue (US$ Million) by country, (US$ Million) 2023-2031

9.4.5.1. Brazil
9.4.5.2. Rest of Latin America

9.5. Middle East & Africa

9.5.1. Middle East & Africa Artificial Intelligence Chipset Market revenue (US$ Million) by By Technology, (US$ Million)
9.5.2. Middle East & Africa Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Function, 2023-2031
9.5.3. Middle East & Africa Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By Hardware Method, 2023-2031
9.5.4. Middle East & Africa Artificial Intelligence Chipset Market revenue (US$ Million) estimates and forecasts By End- User, 2023-2031
9.5.5. Middle East & Africa Artificial Intelligence Chipset Market revenue (US$ Million) by country, (US$ Million) 2023-2031

9.5.5.1. South Africa
9.5.5.2. GCC Countries
9.5.5.3. Rest of MEA

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles


10.2.1. Intel Corporation (US),
10.2.2. Nvidia Corporation (US),
10.2.3. Qualcomm Technologies Inc.
10.2.4. (US), Micron Technology, Inc. (US),
10.2.5. Advanced Micro Devices, Inc. (US),
10.2.6. Samsung Electronics Co., Ltd. (South Korea),
10.2.7. Apple Inc. (US),
10.2.8. IBM (US),
10.2.9. Alphabet, Inc. (US),
10.2.10. Huawei Technologies (China)

Segmentation of Artificial Intelligence Chipset Market-

Artificial Intelligence Chipset Market By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Predictive Analysis

Artificial Intelligence Chipset Market

Artificial Intelligence Chipset Market By Function

  • Training
  • Inference

Artificial Intelligence Chipset Market By Hardware

  • Processor
  • Memory
  • Network

Artificial Intelligence Chipset Market By End-User

  • Healthcare
  • Manufacturing
  • Automotive
  • Agriculture
  • Retail
  • Cybersecurity
  • Human Resources
  • Marketing
  • Law
  • Fintech
  • Government

Artificial Intelligence Chipset Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the Artificial Intelligence Chipset Market?

Artificial Intelligence Chipset Market expected to grow at a 27.6% CAGR during the forecast period for 2023-2031

Intel Corporation (US), Nvidia Corporation (US), Qualcomm Technologies Inc. (US), Micron Technology, Inc. (US), Advanced Micro Devices, Inc. (US), Sam

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