Artificial Intelligence Chipsets Market
Artificial Intelligence Chipsets Market Forecasts to 2030 - Global Analysis By Function (Inference and Training), Hardware, Technology, Processing Type, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $18.6 BN |
|
Projected Year Value (2030) |
US $123.8 BN |
|
CAGR (2023 - 2030) |
31.1% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Asia Pacific |
According to Stratistics MRC, the Global Artificial Intelligence Chipset Market is accounted for $18.6 billion in 2023 and is expected to reach $123.8 billion by 2030 growing at a CAGR of 31.1% during the forecast period. Artificial intelligence (AI) chips are specialised silicon chips used for machine learning that contain AI technology. In several industry sectors, it 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, most of the big businesses in the IT sector concentrate on creating AI chips and software.
According to PricewaterhouseCoopers (PwC), European industries such as manufacturing, automotive, electronics, and others are expected to invest USD 182.04 billion in the Industry 4.0 solutions in 2020.
Market Dynamics:
Driver:
Growing adoption of cloud-based solutions
The expansion of data centre construction in industries such as IT & telecom, automotive, etc. is projected to increase demand for cloud-based Al chipsets. Data volume has greatly increased as a result of social media and e-commerce becoming more widely used. The chipset takes care of the need for quicker processing caused by machine learning that is activated. The need for high-speed processors has increased as a result of the data volume's quick growth, which is favorably affecting the market's expansion.
Restraint:
Inadequate AI workforce
AI is made up of complex algorithms. Businesses need a staff with significant experience and specific skill sets in order to create, operate, and deploy AI systems. Additionally, integrating AI-based solutions into the current systems is a difficult operation that necessitates processing enormous amounts of data to mimic human behaviour. Furthermore, the lack of professional certifications and standards in sophisticated technologies such as AI, ML, and others is limiting the growth of the market.
Opportunity:
Emergence of Quantum Computing
Quantum computing technology is widely adopted by enterprises globally, to solve complex problems, and perform analytical calculations. Quantum computers are enabled with technologies such as artificial intelligence, machine learning, computer vision, big data, AR/VR, and others. It is used in various functions such as fraud detection, risk management, portfolio optimization, and applications where instant data response is required. Thus, the emergence of quantum computing is expected to drive the growth of the market.
Threat:
Data privacy concerns in AI platforms
Access to vast databases containing sensitive and private data is frequently needed for AI platforms. Concerns concerning data security and protection are raised by this. The data used to train AI models may be exposed to unauthorised access, breaches, or misuse if it is not effectively protected. Identity theft, privacy issues, and other types of data abuse may result from this. However, different jurisdictions may have a different data privacy law, which makes it difficult to guarantee compliance and safeguard user privacy.
Covid-19 Impact:
The epidemic has had a negative effect on the market and will likely continue to do so in the years to come. This is linked to the affected production processes, supply chains, and emerging industries' limited adoption of AI. The lockdown requirements caused a number of industrial companies to halt their output, which negatively impacted the supply chain system globally. The deployment of hardware and software based on AI has been delayed as a result of this pandemic. The crisis has been particularly hard on a number of businesses, including the automotive and industrial sectors.
The memory segment is expected to be the largest during the forecast period
The memory segment is expected to be the largest during the forecast period, owing to surge in accumulation of data which requires for predictive analytics, machine learning, and computer vision among others to validate, test and train. Thus, a large amount of data storage memory is required. High bandwidth memory is also being used for applications that are not dependent on the computing architecture. Less start-up are also investigating high bandwidth file systems to improve productivity.
The machine learning segment is expected to have the highest CAGR during the forecast period
The machine learning segment is expected to have the highest CAGR during the forecast period, due to increasing investment in innovative products such as voice recognition, image recognition, and multiple language chat bots among others. Thus, in order to utilise numerous levels of data, these solutions need powerful machine learning.
Region with largest share:
North America is projected to hold the largest market share during the forecast period, owing to a large number of U.S. based tech giants in the market. The region is distinguished by a sizable population with increased purchasing power, ongoing infrastructure investments, and governments putting more emphasis on producing AI applications internally. The market for AI chipsets is presented with a chance due to the rapid development of AI applications.
Region with highest CAGR:
Asia Pacific is projected to hold the highest CAGR over the forecast period, due to the rising investments in Al technology. The use of Al chips has been aided by the manufacturing sector's adoption of cutting-edge and contemporary production techniques. Voice commands are only one of the many features that AI chipsets are increasingly being used for in consumer electronics like laptops, tablets, and smartphones. This has led to a high level of acceptance of AI chipsets in the region.
Key players in the market
Some of the key players in Artificial Intelligence Chipset market include Google Inc., NVIDIA Corporation, Intel Corporation, Graphcore Ltd, Advanced Micro Devices Inc., Samsung Electronics Co. Ltd, Huawei Technologies Co., Xilinx Inc., Baidu Inc., Fujitsu Limited, Micron Technology Inc., Qualcomm Technologies, Inc., Microsoft Corporation, Amazon Web Services, Apple Inc., GreenWaves Technologies, XMOS Limited, General Vision, Inc., Kalray Corporation and MediaTek Inc.
Key Developments:
In April 2023, Google announced the supercomputers it uses to train its AI model are 1.7 times faster than its competition. The company has incorporated the Tensor Processing Unit into the computer, enhancing performance.
In August 2022, Qualcomm Technologies, Inc. announced that its Snapdragon 8+ Gen 1 Platform powered Samsung Electronics Co., Ltd.'s cutting-edge foldable smartphones like the Samsung Galaxy Z Fold4 and Galaxy Z Flip4.
In February 2022, Intel launched XeonR., which is a new dual-track roadmap of Performance-core and Efficient-core based products, moving from two optimized platforms into one common, industry-defining platform.
Functions Covered:
• Inference
• Training
Hardwares Covered:
• Memory
• Network
• Processor
• Other Hardwares
Technologies Covered:
• Natural Language Processing
• Computer Vision
• Predictive Analysis
• Context-Aware Computing
• Machine Learning
• Other Technologies
Processing Types Covered:
• Edge Computing
• Cloud Computing
Applications Covered:
• Automobile
• Smartphones
• Medical Imaging
• Robotics
• Security Systems
• Other Applications
End Users Covered:
• Agriculture
• Cybersecurity
• Marketing
• Fintech
• Automotive
• Human Resources
• Healthcare
• Retail
• Government
• Law
• Manufacturing
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence Chipsets Market, By Function
5.1 Introduction
5.2 Inference
5.3 Training
6 Global Artificial Intelligence Chipsets Market, By Hardware
6.1 Introduction
6.2 Memory
6.3 Network
6.4 Processor
6.4.1 Field Programmable Gate Array (FPGA)
6.4.2 Central Processing Unit (CPU)
6.4.3 Graphic Processing Unit (GPU)
6.4.4 Application-Specific Integrated Circuit (ASIC)
6.5 Other Hardwares
7 Global Artificial Intelligence Chipsets Market, By Technology
7.1 Introduction
7.2 Natural Language Processing
7.3 Computer Vision
7.4 Predictive Analysis
7.5 Context-Aware Computing
7.6 Machine Learning
7.6.1 Unsupervised Learning
7.6.2 Supervised Learning
7.6.3 Deep Learning
7.6.4 Reinforcement Learning
7.7 Other Technologies
8 Global Artificial Intelligence Chipsets Market, By Processing Type
8.1 Introduction
8.2 Edge Computing
8.3 Cloud Computing
9 Global Artificial Intelligence Chipsets Market, By Application
9.1 Introduction
9.2 Automobile
9.3 Smartphones
9.4 Medical Imaging
9.5 Robotics
9.6 Security Systems
9.7 Other Applications
10 Global Artificial Intelligence Chipsets Market, By End User
10.1 Introduction
10.2 Agriculture
10.3 Cybersecurity
10.4 Marketing
10.5 Fintech
10.6 Automotive
10.7 Human Resources
10.8 Healthcare
10.9 Retail
10.10 Government
10.11 Law
10.12 Manufacturing
10.13 Other End Users
11 Global Artificial Intelligence Chipsets Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Google Inc.
13.2 NVIDIA Corporation
13.3 Intel Corporation
13.4 Graphcore Ltd
13.5 Advanced Micro Devices Inc.
13.6 Samsung Electronics Co. Ltd
13.7 Huawei Technologies Co.
13.8 Xilinx Inc.
13.9 Baidu Inc.
13.10 Fujitsu Limited
13.11 Micron Technology Inc.
13.12 Qualcomm Technologies, Inc.
13.13 Microsoft Corporation
13.14 Amazon Web Services
13.15 Apple Inc.
13.16 GreenWaves Technologies
13.17 XMOS Limited
13.18 General Vision, Inc.
13.19 Kalray Corporation
13.20 MediaTek Inc
List of Tables
1 Global Artificial Intelligence Chipsets Market Outlook, By Region (2021-2030) ($MN)
2 Global Artificial Intelligence Chipsets Market Outlook, By Function (2021-2030) ($MN)
3 Global Artificial Intelligence Chipsets Market Outlook, By Inference (2021-2030) ($MN)
4 Global Artificial Intelligence Chipsets Market Outlook, By Training (2021-2030) ($MN)
5 Global Artificial Intelligence Chipsets Market Outlook, By Hardware (2021-2030) ($MN)
6 Global Artificial Intelligence Chipsets Market Outlook, By Memory (2021-2030) ($MN)
7 Global Artificial Intelligence Chipsets Market Outlook, By Network (2021-2030) ($MN)
8 Global Artificial Intelligence Chipsets Market Outlook, By Processor (2021-2030) ($MN)
9 Global Artificial Intelligence Chipsets Market Outlook, By Field Programmable Gate Array (FPGA) (2021-2030) ($MN)
10 Global Artificial Intelligence Chipsets Market Outlook, By Central Processing Unit (CPU) (2021-2030) ($MN)
11 Global Artificial Intelligence Chipsets Market Outlook, By Graphic Processing Unit (GPU) (2021-2030) ($MN)
12 Global Artificial Intelligence Chipsets Market Outlook, By Application-Specific Integrated Circuit (ASIC) (2021-2030) ($MN)
13 Global Artificial Intelligence Chipsets Market Outlook, By Other Hardwares (2021-2030) ($MN)
14 Global Artificial Intelligence Chipsets Market Outlook, By Technology (2021-2030) ($MN)
15 Global Artificial Intelligence Chipsets Market Outlook, By Natural Language Processing (2021-2030) ($MN)
16 Global Artificial Intelligence Chipsets Market Outlook, By Computer Vision (2021-2030) ($MN)
17 Global Artificial Intelligence Chipsets Market Outlook, By Predictive Analysis (2021-2030) ($MN)
18 Global Artificial Intelligence Chipsets Market Outlook, By Context-Aware Computing (2021-2030) ($MN)
19 Global Artificial Intelligence Chipsets Market Outlook, By Machine Learning (2021-2030) ($MN)
20 Global Artificial Intelligence Chipsets Market Outlook, By Unsupervised Learning (2021-2030) ($MN)
21 Global Artificial Intelligence Chipsets Market Outlook, By Supervised Learning (2021-2030) ($MN)
22 Global Artificial Intelligence Chipsets Market Outlook, By Deep Learning (2021-2030) ($MN)
23 Global Artificial Intelligence Chipsets Market Outlook, By Reinforcement Learning (2021-2030) ($MN)
24 Global Artificial Intelligence Chipsets Market Outlook, By Other Technologies (2021-2030) ($MN)
25 Global Artificial Intelligence Chipsets Market Outlook, By Processing Type (2021-2030) ($MN)
26 Global Artificial Intelligence Chipsets Market Outlook, By Edge Computing (2021-2030) ($MN)
27 Global Artificial Intelligence Chipsets Market Outlook, By Cloud Computing (2021-2030) ($MN)
28 Global Artificial Intelligence Chipsets Market Outlook, By Application (2021-2030) ($MN)
29 Global Artificial Intelligence Chipsets Market Outlook, By Automobile (2021-2030) ($MN)
30 Global Artificial Intelligence Chipsets Market Outlook, By Smartphones (2021-2030) ($MN)
31 Global Artificial Intelligence Chipsets Market Outlook, By Medical Imaging (2021-2030) ($MN)
32 Global Artificial Intelligence Chipsets Market Outlook, By Robotics (2021-2030) ($MN)
33 Global Artificial Intelligence Chipsets Market Outlook, By Security Systems (2021-2030) ($MN)
34 Global Artificial Intelligence Chipsets Market Outlook, By Other Applications (2021-2030) ($MN)
35 Global Artificial Intelligence Chipsets Market Outlook, By End User (2021-2030) ($MN)
36 Global Artificial Intelligence Chipsets Market Outlook, By Agriculture (2021-2030) ($MN)
37 Global Artificial Intelligence Chipsets Market Outlook, By Cybersecurity (2021-2030) ($MN)
38 Global Artificial Intelligence Chipsets Market Outlook, By Marketing (2021-2030) ($MN)
39 Global Artificial Intelligence Chipsets Market Outlook, By Fintech (2021-2030) ($MN)
40 Global Artificial Intelligence Chipsets Market Outlook, By Automotive (2021-2030) ($MN)
41 Global Artificial Intelligence Chipsets Market Outlook, By Human Resources (2021-2030) ($MN)
42 Global Artificial Intelligence Chipsets Market Outlook, By Healthcare (2021-2030) ($MN)
43 Global Artificial Intelligence Chipsets Market Outlook, By Retail (2021-2030) ($MN)
44 Global Artificial Intelligence Chipsets Market Outlook, By Government (2021-2030) ($MN)
45 Global Artificial Intelligence Chipsets Market Outlook, By Law (2021-2030) ($MN)
46 Global Artificial Intelligence Chipsets Market Outlook, By Manufacturing (2021-2030) ($MN)
47 Global Artificial Intelligence Chipsets Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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