Artificial Intelligence (AI) Chip Market Share Analysis Report, 2023-2032
The global artificial intelligence (AI) chip market size was exhibited at USD 16.88 billion in 2022 and is projected to hit around USD 227.55 billion by 2032, growing at a CAGR of 29.73% during the forecast period 2023 to 2032.
Key Pointers:
Artificial Intelligence (AI) Chip Market Report Scope
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Report Coverage |
Details |
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Market Size in 2023 |
USD 21.87 Billion |
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Market Size by 2032 |
USD 227.55 Billion |
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Growth Rate From 2023 to 2032 |
CAGR of 29.73% |
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Base Year |
2022 |
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Forecast Period |
2023 to 2032 |
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Segments Covered |
By Technology, By Chip Type, By Processing Type, By Function and By End-Users |
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Market Analysis (Terms Used) |
Value (US$ Million/Billion) or (Volume/Units) |
|
Regional Scope |
North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
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Key Companies Profiled |
NVIDIA Corporation, General Vision Inc., Amazon Web Services, Google Inc., Microsoft Corporation, Advanced Micro Devices Inc. and Others. |
According to Himanshu Jangra Lead Analyst, Semiconductor and Electronics, at Allied Market Research, the Artificial intelligence chip Market is expected to showcase remarkable growth during the forecast period of 2023-2032. The report contains a thorough examination of the market size, Artificial intelligence chip market trends, key market players, sales analysis, major driving factors, and key investment pockets. The report on the global artificial intelligence chip market provides an overview of the market as well as market definition and scope. The ongoing technological advancements and surge in demand for artificial intelligence processors and artificial intelligence brain chip solutions have an impact on market growth. Furthermore, the report provides a quantitative and qualitative analysis of the artificial intelligence chip market opportunity, as well as a breakdown of the pain points, value chain analysis, and key regulations.
Artificial intelligence (AI) chips are specialized silicon chips, which incorporate AI technology and are used for machine learning. AI helps in eliminating or minimizing the risk to human life in many industry verticals. The need for more efficient systems for solving mathematical and computational problems has become crucial, as the volume of data has increased. Thus, the majority of the key players in the IT industry focus on developing AI chips and applications.
Artificial Intelligence (chipsets) market dynamics
Driver: The emerging trend of autonomous vehicles
Autonomous vehicles rely on a combination of sensors, cameras, radar, lidar, and other technologies to perceive their surroundings accurately. AI (chipsets) plays a crucial role in processing the vast amount of real-time data generated by these sensors. The chipsets accelerate perception tasks such as object detection, tracking, and classification, allowing the vehicle to make informed decisions based on the analyzed data. The need for powerful AI (chipsets) capable of handling complex perception tasks is essential to enable safe and efficient autonomous driving.
Autonomous vehicles employ sophisticated AI algorithms for mapping, path planning, and decision-making tasks. These algorithms require substantial computational power and efficient processing to handle driving lessons' complexity and real-time nature. AI (chipsets) is designed to deliver the high-performance computing needed to execute these complex algorithms efficiently, ensuring the smooth operation of autonomous vehicles.
Restraint: Lack of AI hardware experts and skilled workforce
Developing AI (chipsets) requires specialized knowledge and expertise in hardware design, architecture, and optimization for AI workloads. However, there is a need for more AI hardware experts who possess the necessary skills and experience to design and develop these chipsets. This expertise scarcity can slow the pace of innovation and product development in the AI (chipsets) market.
AI (chipsets) often incorporates specialized accelerators and custom architectures tailored for AI workloads. Designing and optimizing these components requires technical skills and knowledge that may be limited in the existing talent pool. The need for more skilled workers who can handle these specialized tasks can restrict the growth and development of AI (chipsets).
Opportunity: Surging demand for AI-based FPGA
FPGAs offer inherent flexibility and programmability compared to fixed-function ASICs (Application-Specific Integrated Circuits). This makes them suitable for handling diverse AI workloads and adapting to evolving AI algorithms. As AI models and algorithms continue to grow rapidly, the ability to reprogram and reconfigure FPGAs provides a competitive advantage in meeting the changing demands of AI applications.
Energy efficiency is critical in AI (chipsets), particularly in edge computing and IoT devices where power constraints exist. FPGAs can be power-optimized to deliver high performance per watt by leveraging parallel processing capabilities and fine-grained control over resources. The ability to optimize power consumption while maintaining performance is crucial for AI (chipsets), making AI-based FPGAs an attractive choice.
Challenge: Data privacy concerns in AI platforms
AI platforms often require access to large datasets, including personal and sensitive information. This raises concerns about data security and protection. If the data used for training AI models is not adequately safeguarded, it can be vulnerable to unauthorized access, breaches, or misuse. This can lead to privacy violations, identity theft, or other forms of data abuse.
AI platforms often involve the sharing of data across organizations or even international borders. However, data privacy regulations can vary across jurisdictions, making it challenging to ensure compliance and protect user privacy. Adhering to diverse legal frameworks while enabling data sharing and collaboration poses a significant challenge for AI (chipsets) companies.
Some of the prominent players in the Artificial Intelligence (AI) Chip Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Artificial Intelligence (AI) Chip market.
By Technology
By Chip Type
By Processing Type
By Function
By End-Users
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) Chip Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) Chip Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) Chip Market, By Technology
8.1. Artificial Intelligence (AI) Chip Market, by Technology, 2023-2032
8.1.1. Machine learning
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Natural language processing
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Context-aware computing
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Computer vision
8.1.4.1. Market Revenue and Forecast (2020-2032)
8.1.5. Predictive analysis
8.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) Chip Market, By Chip Type
9.1. Artificial Intelligence (AI) Chip Market, by Chip Type, 2023-2032
9.1.1. GPU
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. ASIA
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. FPGA
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. CPU
9.1.4.1. Market Revenue and Forecast (2020-2032)
9.1.5. Others
9.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) Chip Market, By Processing Type
10.1. Artificial Intelligence (AI) Chip Market, by Processing Type, 2023-2032
10.1.1. Edge
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Cloud
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) Chip Market, By Function
11.1. Artificial Intelligence (AI) Chip Market, by Function, 2023-2032
11.1.1. Training
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Inference
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence (AI) Chip Market, By End-Users
12.1. Artificial Intelligence (AI) Chip Market, by End-Users, 2023-2032
12.1.1. Manufacturing
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Healthcare
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Automotive
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Agriculture
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Retail
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Human Resources
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Marketing
12.1.7.1. Market Revenue and Forecast (2020-2032)
12.1.8. BFSI
12.1.8.1. Market Revenue and Forecast (2020-2032)
12.1.9. Government
12.1.9.1. Market Revenue and Forecast (2020-2032)
12.1.10. Others
12.1.10.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Artificial Intelligence (AI) Chip Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Technology (2020-2032)
13.1.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.1.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.1.4. Market Revenue and Forecast, by Function (2020-2032)
13.1.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Technology (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Function (2020-2032)
13.1.6.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Technology (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Function (2020-2032)
13.1.7.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Technology (2020-2032)
13.2.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.2.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.2.4. Market Revenue and Forecast, by Function (2020-2032)
13.2.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Technology (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.2.7. Market Revenue and Forecast, by Function (2020-2032)
13.2.8. Market Revenue and Forecast, by End-Users (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Technology (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.2.10. Market Revenue and Forecast, by Function (2020-2032)
13.2.11. Market Revenue and Forecast, by End-Users (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Technology (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Function (2020-2032)
13.2.13. Market Revenue and Forecast, by End-Users (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Technology (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Function (2020-2032)
13.2.15. Market Revenue and Forecast, by End-Users (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Technology (2020-2032)
13.3.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.3.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.3.4. Market Revenue and Forecast, by Function (2020-2032)
13.3.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Technology (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Function (2020-2032)
13.3.7. Market Revenue and Forecast, by End-Users (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Technology (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Function (2020-2032)
13.3.9. Market Revenue and Forecast, by End-Users (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Technology (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Function (2020-2032)
13.3.10.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Technology (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Function (2020-2032)
13.3.11.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Technology (2020-2032)
13.4.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.4.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.4.4. Market Revenue and Forecast, by Function (2020-2032)
13.4.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Technology (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Function (2020-2032)
13.4.7. Market Revenue and Forecast, by End-Users (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Technology (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Function (2020-2032)
13.4.9. Market Revenue and Forecast, by End-Users (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Technology (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Function (2020-2032)
13.4.10.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Technology (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Function (2020-2032)
13.4.11.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Technology (2020-2032)
13.5.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.5.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.5.4. Market Revenue and Forecast, by Function (2020-2032)
13.5.5. Market Revenue and Forecast, by End-Users (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Technology (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Function (2020-2032)
13.5.7. Market Revenue and Forecast, by End-Users (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Technology (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Chip Type (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Processing Type (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Function (2020-2032)
13.5.8.5. Market Revenue and Forecast, by End-Users (2020-2032)
Chapter 14. Company Profiles
14.1. NVIDIA Corporation
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. General Vision Inc.
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Amazon Web Services
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Google Inc.
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Microsoft Corporation
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Advanced Micro Devices Inc.
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers