Artificial Intelligence Chipsets Market by Chip Type, Computation Type, Techniques, Processing Type, Application, Industry

Description

List of Tables

The Artificial Intelligence Chipsets Market was valued at USD 25.91 billion in 2023, expected to reach USD 34.28 billion in 2024, and is projected to grow at a CAGR of 34.50%, to USD 206.40 billion by 2030.

The scope of artificial intelligence (AI) chipsets revolves around vital components designed to accelerate tasks executed by AI models, with an emphasis on machine learning and deep learning operations. These chipsets are crucial for processing large data sets efficiently and quickly, making them indispensable across industries ranging from consumer electronics to automotive and healthcare. The necessity of AI chipsets lies in their ability to enhance processing speeds and improve the efficiency of AI applications such as natural language processing, recommendation systems, and autonomous driving. On the application front, AI chipsets find usage in data centers, smart devices, robotics, and IoT systems. End-user scope includes sectors like automotive, healthcare, finance, retail, and manufacturing. Key growth influencers in this market include the increasing adoption of AI in various applications and significant advancements in AI technology. Emerging opportunities stem from the integration of AI across edge computing, 5G networks, and autonomous systems, offering a fertile ground for innovation in edge AI chipsets and AI-powered edge devices. Companies are encouraged to conduct research in developing energy-efficient AI processors and expanding AI's real-time decision-making capabilities to leverage these opportunities. However, challenges remain in terms of high research and development costs, a lack of skilled workforce, and issues related to privacy and data security that can hinder market growth. Continued innovation is needed to address these challenges, particularly in the realms of AI ethics and secure data handling. The market is characterized by rapid technological progress and competitive intensity, driving firms to continually adapt to state-of-the-art advancements to maintain relevance. Businesses should focus on collaborative innovations, such as public-private partnerships, to align technological advances with societal needs, ensuring sustainable growth prospects and maximizing AI's benefit.

KEY MARKET STATISTICS
Base Year [2023]	USD 25.91 billion
Estimated Year [2024]	USD 34.28 billion
Forecast Year [2030]	USD 206.40 billion
CAGR (%)	34.50%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence Chipsets Market

The Artificial Intelligence Chipsets Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Increasing number of AI applications and emergence of quantum computing
- Rapid growth in the data volume and need for high-speed processors
- Government initiatives supporting deployment and development of AI technologies
Market Restraints
- Lack of standardization and skilled workforce for AI chipsets
Market Opportunities
- Rapid integration of AI with the edge devices
- Increasing R&D activities and emergence of AI-based startups and investment
Market Challenges
- Data security and privacy concerns associated with AI chipsets

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence Chipsets Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence Chipsets Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence Chipsets Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence Chipsets Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence Chipsets Market

A detailed market share analysis in the Artificial Intelligence Chipsets Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence Chipsets Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence Chipsets Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence Chipsets Market

A strategic analysis of the Artificial Intelligence Chipsets Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence Chipsets Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Alibaba Group, Alphabet Inc., Amazon Web Services, Inc., Blaize, Cerebras Systems Inc., Fujitsu Limited, General Vision Inc., Graphcore Limited, GreenWaves Technologies, Groq, Inc., Hailo Technologies Ltd., Huawei Technologies Co., Ltd., Imagination Technologies Limited, Intel Corporation, International Business Machines Corporation, Kalray Corporation, KeyASIC, Kneron, Inc., LG Electronic, MediaTek Inc., Micron Technology, Inc., Mythic, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SambaNova Systems, Inc., Samsung Electronics Co., Ltd., SiMa Technologies, Inc., Tenstorrent Inc., and XMOS Limited.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence Chipsets Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Chip Type, market is studied across Application-Specific Integrated Circuits, Central Processing Units, Field-Programmable Gate Arrays, and Graphical Processing Units.
Based on Computation Type, market is studied across Inference and Training.
Based on Techniques, market is studied across Domain-Specific Languages, Low-Precision Computing, Memory Optimization, and Parallel Computing.
Based on Processing Type, market is studied across Cloud and Edge.
Based on Application, market is studied across Autonomous Systems, Computer Vision, Man-machine Interaction, Natural language processing, Robotics, Semantic Analysis, and Virtual Reality.
Based on Industry, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology & Telecommunication, Manufacturing, Media & Entertainment, and Travel & Hospitality.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-43339CF4701C

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing number of AI applications and emergence of quantum computing
  - 5.1.1.2. Rapid growth in the data volume and need for high-speed processors
  - 5.1.1.3. Government initiatives supporting deployment and development of AI technologies
- 5.1.2. Restraints
  - 5.1.2.1. Lack of standardization and skilled workforce for AI chipsets
- 5.1.3. Opportunities
  - 5.1.3.1. Rapid integration of AI with the edge devices
  - 5.1.3.2. Increasing R&D activities and emergence of AI-based startups and investment
- 5.1.4. Challenges
  - 5.1.4.1. Data security and privacy concerns associated with AI chipsets
5.2. Market Segmentation Analysis
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Artificial Intelligence Chipsets Market, by Chip Type

6.1. Introduction
6.2. Application-Specific Integrated Circuits
6.3. Central Processing Units
6.4. Field-Programmable Gate Arrays
6.5. Graphical Processing Units

7. Artificial Intelligence Chipsets Market, by Computation Type

7.1. Introduction
7.2. Inference
7.3. Training

8. Artificial Intelligence Chipsets Market, by Techniques

8.1. Introduction
8.2. Domain-Specific Languages
8.3. Low-Precision Computing
8.4. Memory Optimization
8.5. Parallel Computing

9. Artificial Intelligence Chipsets Market, by Processing Type

9.1. Introduction
9.2. Cloud
9.3. Edge

10. Artificial Intelligence Chipsets Market, by Application

10.1. Introduction
10.2. Autonomous Systems
10.3. Computer Vision
10.4. Man-machine Interaction
10.5. Natural language processing
10.6. Robotics
10.7. Semantic Analysis
10.8. Virtual Reality

11. Artificial Intelligence Chipsets Market, by Industry

11.1. Introduction
11.2. Aerospace & Defense
11.3. Automotive & Transportation
11.4. Banking, Financial Services & Insurance
11.5. Building, Construction & Real Estate
11.6. Consumer Goods & Retail
11.7. Education
11.8. Energy & Utilities
11.9. Government & Public Sector
11.10. Healthcare & Life Sciences
11.11. Information Technology & Telecommunication
11.12. Manufacturing
11.13. Media & Entertainment
11.14. Travel & Hospitality

12. Americas Artificial Intelligence Chipsets Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Artificial Intelligence Chipsets Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Artificial Intelligence Chipsets Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. Market Share Analysis, 2023
15.2. FPNV Positioning Matrix, 2023
15.3. Competitive Scenario Analysis
15.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Advanced Micro Devices, Inc.
2. Alibaba Group
3. Alphabet Inc.
4. Amazon Web Services, Inc.
5. Blaize
6. Cerebras Systems Inc.
7. Fujitsu Limited
8. General Vision Inc.
9. Graphcore Limited
10. GreenWaves Technologies
11. Groq, Inc.
12. Hailo Technologies Ltd.
13. Huawei Technologies Co., Ltd.
14. Imagination Technologies Limited
15. Intel Corporation
16. International Business Machines Corporation
17. Kalray Corporation
18. KeyASIC
19. Kneron, Inc.
20. LG Electronic
21. MediaTek Inc.
22. Micron Technology, Inc.
23. Mythic, Inc.
24. NVIDIA Corporation
25. Qualcomm Technologies, Inc.
26. SambaNova Systems, Inc.
27. Samsung Electronics Co., Ltd.
28. SiMa Technologies, Inc.
29. Tenstorrent Inc.
30. XMOS Limited