The automotive AI chipset market is projected to be worth US$ 3.5 billion in 2024. The market is anticipated to reach US$ 25.9 billion by 2034. The market is further expected to surge at a CAGR of 22.1% during the forecast period 2024 to 2034.
Key Market Trends and Highlights
| Attributes | Key Insights |
|---|---|
| Automotive AI Chipset Market Estimated Size in 2024 | US$ 3.5 billion |
| Projected Market Value in 2034 | US$ 25.9 billion |
| Value-based CAGR from 2024 to 2034 | 22.1% |
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The scope for automotive AI chipset rose at a 18.4% CAGR between 2019 and 2023. The global market for automotive AI chipset is anticipated to grow at a moderate CAGR of 22.1% over the forecast period 2024 to 2034.
| Report Attributes | Details |
|---|---|
| Market Value in 2019 | US$ 1.5 billion |
| Market Value in 2023 | US$ 2.9 billion |
| CAGR from 2019 to 2023 | 18.4% |
The automotive AI chipset market experienced a significant increase in the adoption of automotive AI chipsets during the historical period from 2019 to 2023. There was a significant focus on the development and testing of autonomous vehicles, driving the demand for advanced AI chipsets to enable functions such as perception, decision making, and control.
The automotive industry also witnessed a notable shift towards electric vehicles during this period. AI chipsets became crucial in managing energy efficiency, battery optimization, and enhancing the overall performance of electric vehicles.
Vehicles became more connected during this period, leading to a surge in data generation. AI chipsets played a role in processing and analyzing this data, supporting applications such as telematics, predictive maintenance, and in car infotainment.
The market is expected to witness the growth of urban air mobility during the forecast period, where AI chipsets will play a pivotal role in developing AI driven systems. The systems will focus on navigation, traffic management, and safety for autonomous flying vehicles.
The widespread deployment of 5G technology in the forecast period is poised to enhance vehicle connectivity. The improvement will facilitate more advanced AI applications in vehicles, supporting real time data processing and communication.
AI chipsets are expected to play a crucial role in advancing predictive maintenance systems. The advancement aims to reduce downtime, extend vehicle lifespan, and enhance overall maintenance efficiency.
Principal Consultant
The below table showcases revenues in terms of the top 5 leading countries, spearheaded by Australia and Japan. The countries are expected to lead the market through 2034.
Forecast CAGRs from 2024 to 2034
| The United States | 19.9% |
|---|---|
| Germany | 21.6% |
| Japan | 23.3% |
| China | 22.6% |
| Australia | 26.6% |
The automotive AI chipset market in the United States expected to expand at a CAGR of 19.9% through 2034. The United States has been a significant hub for the development and testing of autonomous vehicles. The growth of AI chipsets is closely tied to the advancements in autonomous driving technologies, with various companies investing in self driving vehicle projects.
The presence of major technology companies, such as Google, Tesla, Apple, and traditional automakers like General Motors, Ford, and others, fosters a competitive environment for AI driven technologies, which contributes to the development and adoption of AI chipsets.
The automotive AI chipset market in Japan is anticipated to expand at a CAGR of 23.3% through 2034. The automakers in Japan have a strong tradition of innovation and technological advancements. The continuous pursuit of innovation in vehicle design, performance, and features contributes to the adoption of AI chipsets for various applications.
Japan has been promoting the adoption of electric vehicles to address environmental concerns. AI chipsets play a crucial role in optimizing electric powertrains, battery management, and enhancing the intelligence of electric vehicles.
The automotive AI chipset market in Germany is poised to expand at a CAGR of 21.6% through 2034. Germany is home to several major automotive manufacturers, including Volkswagen, BMW, Daimler, and Audi. The strong automotive manufacturing base in the country drives demand for advanced technologies, including AI chipsets, to enhance vehicle capabilities.
Government initiatives and policies in Germany support innovation in the automotive sector. Funding, incentives, and regulatory support encourage the development and adoption of AI driven technologies, including AI chipsets.
Automotive AI chipset trends in China are taking a turn for the better. A 22.6% CAGR is forecast for the country from 2024 to 2034. The cities in China are actively exploring smart city initiatives, and intelligent transportation systems are key components. AI chipsets contribute to the development of smart traffic management, vehicle to everything communication, and other smart city solutions.
The concept of Mobility as a Service is gaining traction in China. AI chipsets play a role in the development of intelligent and connected mobility solutions, including ride sharing, autonomous taxis, and other innovative transportation services.
The automotive AI chipset market in Australia is anticipated to expand at a CAGR of 26.6% through 2034. The growth of connected car technologies, which rely on AI for communication and data processing, is expected to contribute to the automotive AI chipset Market in Australia. Features such as in car connectivity, navigation, and real time information are becoming more prevalent.
Innovations in HMI, including AI driven interfaces, gesture controls, and augmented reality displays, may contribute to the growth of AI chipsets in the country. Improving the user experience is a key aspect of technological advancements in vehicles.
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The below table highlights how passenger vehicle segment is projected to lead the market in terms of vehicle type, and is expected to account for a share of 72.0% in 2024.
Based on application, the advanced driver assistance systems segment is expected to account for a share of 35.0% in 2024.
| Category | Shares in 2024 |
|---|---|
| Passenger Vehicle | 72.0% |
| Advanced Driver Assistance Systems | 35.0% |
Based on vehicle type, the passenger vehicle segment is expected to continue dominating the automotive AI chipset market. The segment is expected to account for a share of 72.0% in 2024.
The development and integration of autonomous driving technologies in passenger vehicles rely heavily on AI chipsets. The chipsets process data from various sensors, cameras, and radars to enable features such as lane keeping, adaptive cruise control, and fully autonomous driving.
Passenger vehicles are incorporating AI driven applications within the cabin to enhance the in car experience, which includes AI powered infotainment systems, voice recognition, personalized settings, and features like natural language processing for human machine interaction.
AI chipsets support real time data processing for effective traffic management and navigation in passenger vehicles, which includes dynamic route planning, traffic prediction, and intelligent navigation systems, contributing to a smoother driving experience.
In terms of application, the ADAS segment is expected to continue dominating the automotive AI chipset market. The segment is expected to account for a share of 35.0% in 2024.
Many regions have implemented or are considering regulations mandating the inclusion of certain ADAS features in vehicles. For instance, requirements for autonomous emergency braking systems. Compliance with these regulations drives the integration of AI chipsets in vehicles.
Ongoing technological advancements in ADAS, enabled by AI chipsets, contribute to the development of more sophisticated and effective safety features, which includes improved object recognition, adaptive cruise control, and advanced sensor fusion techniques.
AI chipsets play a crucial role in the development of collision avoidance systems. The systems use sensors and AI algorithms to detect potential collisions and take preventive actions, such as alerting the driver or applying brakes autonomously.
The key strategies chosen by large companies include several growth strategies such as technology development, expansion as well and mergers and acquisitions to surge market share, reach and revenue.
| Attribute | Details |
|---|---|
| Estimated Market Size in 2024 | US$ 3.5 billion |
| Projected Market Valuation in 2034 | US$ 25.9 billion |
| Value-based CAGR 2024 to 2034 | 22.1% |
| Forecast Period | 2024 to 2034 |
| Historical Data Available for | 2019 to 2023 |
| Market Analysis | Value in US$ billion |
| Key Regions Covered |
|
| Key Market Segments Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
The automotive AI chipset market is expected to reach US$ 3.5 billion in 2024.
The automotive AI chipset industry is set to expand by a CAGR of 22.1% through 2034.
The automotive AI chipset market is forecast to reach US$ 25.9 billion by 2034.
Australia is to be the top performing market, with a CAGR of 26.6% through 2034.
Passenger vehicle segment is preferred, and is expected to account for a share of 72.0% in 2024.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Product
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product, 2024 to 2034
5.3.1. GPU
5.3.2. ASIC
5.3.3. FGPA
5.3.4. CPU
5.4. Y-o-Y Growth Trend Analysis By Product, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Product, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
6.3.1. Advanced Driver Assistance Systems (ADAS)
6.3.2. Voice & Gesture Recognition
6.3.3. Infotainment System
6.3.4. Predictive Maintenance
6.3.5. Autonomous Driving
6.3.6. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Processing Type
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Processing Type, 2019 to 2023
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Processing Type, 2024 to 2034
7.3.1. Computer Vision
7.3.2. Machine Learning
7.3.3. Natural Language Processing
7.4. Y-o-Y Growth Trend Analysis By Processing Type, 2019 to 2023
7.5. Absolute $ Opportunity Analysis By Processing Type, 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Product
9.2.3. By Application
9.2.4. By Processing Type
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Product
9.3.3. By Application
9.3.4. By Processing Type
9.4. Key Takeaways
10. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Product
10.2.3. By Application
10.2.4. By Processing Type
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product
10.3.3. By Application
10.3.4. By Processing Type
10.4. Key Takeaways
11. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Product
11.2.3. By Application
11.2.4. By Processing Type
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product
11.3.3. By Application
11.3.4. By Processing Type
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Product
12.2.3. By Application
12.2.4. By Processing Type
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product
12.3.3. By Application
12.3.4. By Processing Type
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Product
13.2.3. By Application
13.2.4. By Processing Type
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product
13.3.3. By Application
13.3.4. By Processing Type
13.4. Key Takeaways
14. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Product
14.2.3. By Application
14.2.4. By Processing Type
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product
14.3.3. By Application
14.3.4. By Processing Type
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Product
15.2.3. By Application
15.2.4. By Processing Type
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Product
15.3.3. By Application
15.3.4. By Processing Type
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2023
16.1.2.1. By Product
16.1.2.2. By Application
16.1.2.3. By Processing Type
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2023
16.2.2.1. By Product
16.2.2.2. By Application
16.2.2.3. By Processing Type
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2023
16.3.2.1. By Product
16.3.2.2. By Application
16.3.2.3. By Processing Type
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2023
16.4.2.1. By Product
16.4.2.2. By Application
16.4.2.3. By Processing Type
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2023
16.5.2.1. By Product
16.5.2.2. By Application
16.5.2.3. By Processing Type
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2023
16.6.2.1. By Product
16.6.2.2. By Application
16.6.2.3. By Processing Type
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2023
16.7.2.1. By Product
16.7.2.2. By Application
16.7.2.3. By Processing Type
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2023
16.8.2.1. By Product
16.8.2.2. By Application
16.8.2.3. By Processing Type
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2023
16.9.2.1. By Product
16.9.2.2. By Application
16.9.2.3. By Processing Type
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2023
16.10.2.1. By Product
16.10.2.2. By Application
16.10.2.3. By Processing Type
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2023
16.11.2.1. By Product
16.11.2.2. By Application
16.11.2.3. By Processing Type
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2023
16.12.2.1. By Product
16.12.2.2. By Application
16.12.2.3. By Processing Type
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2023
16.13.2.1. By Product
16.13.2.2. By Application
16.13.2.3. By Processing Type
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2023
16.14.2.1. By Product
16.14.2.2. By Application
16.14.2.3. By Processing Type
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2023
16.15.2.1. By Product
16.15.2.2. By Application
16.15.2.3. By Processing Type
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2023
16.16.2.1. By Product
16.16.2.2. By Application
16.16.2.3. By Processing Type
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2023
16.17.2.1. By Product
16.17.2.2. By Application
16.17.2.3. By Processing Type
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2023
16.18.2.1. By Product
16.18.2.2. By Application
16.18.2.3. By Processing Type
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2023
16.19.2.1. By Product
16.19.2.2. By Application
16.19.2.3. By Processing Type
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2023
16.20.2.1. By Product
16.20.2.2. By Application
16.20.2.3. By Processing Type
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2023
16.21.2.1. By Product
16.21.2.2. By Application
16.21.2.3. By Processing Type
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2023
16.22.2.1. By Product
16.22.2.2. By Application
16.22.2.3. By Processing Type
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2023
16.23.2.1. By Product
16.23.2.2. By Application
16.23.2.3. By Processing Type
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Product
17.3.3. By Application
17.3.4. By Processing Type
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Advanced Micro Devices Inc. (AMD)
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Xilinx Inc.
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Graphcore Ltd
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Huawei Technologies Co. Ltd
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. IBM Corporation
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Intel Corporation
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. NVIDIA Corporation
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Micron Technology Inc.
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Samsung Semiconductor (Samsung Electronics Co. Ltd)
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Automotive AI Chipset Market
