The report on the global computing and AI for automotive market provides qualitative and quantitative analysis for the period from 2022-2032. The global computing and AI for automotive market was valued at USD 7.85 billion in 2023 and is expected to reach USD 313.68 billion in 2032, with a CAGR of 52.72% during the forecast period 2024-2032. The study on computing and AI for automotive market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2022-2032.
The report on computing and AI for automotive market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global computing and AI for automotive market over the period of 2022-2032. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global computing and AI for automotive market over the period of 2022-2032. Furthermore, the growth matrix given in the report brings an insight into the investment areas that existing or new market players can consider.
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
2. Complete coverage of all the segments in the computing and AI for automotive market to analyze the trends, developments in the global market and forecast of market size up to 2032.
3. Comprehensive analysis of the companies operating in the global computing and AI for automotive market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
The report on computing and AI for automotive market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global computing and AI for automotive market over the period of 2022-2032. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global computing and AI for automotive market over the period of 2022-2032. Furthermore, the growth matrix given in the report brings an insight into the investment areas that existing or new market players can consider.
Report Findings
1) Drivers
- The automotive market is experiencing a surge in investment in levels 2 to 5 automation to improve safety, efficiency, and user experience in the face of rising demand for autonomous and semi-autonomous vehicles.
- The automotive market is experiencing growth in computing and AI due to advancements in advanced driver assistance systems (ADAS) technologies, enhancing driver safety and comfort.
2) Restraints
- The growing integration of AI-driven systems in modern vehicles raises security risks for manufacturers and consumers due to data privacy and cybersecurity concerns.
3) Opportunities
- The rise of electric vehicles (EVs) presents a promising opportunity for AI integration in automotive sectors, particularly in battery management, energy optimization, and predictive maintenance.
Research Methodology
A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include
1. Executives working with leading companies in the market under review2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.The secondary sources of the data typically include
1. Company reports and publications2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global computing and AI for automotive market is segmented on the basis of component, vehicle type, and application.The Global Computing and AI for Automotive Market by Component
- Hardware
- Software
- Service
The Global Computing and AI for Automotive Market by Vehicle Type
- Passenger Vehicles
- Commercial Vehicles
The Global Computing and AI for Automotive Market by Application
- Autonomous Driving / Advanced Driver Assistance Systems (ADAS)
- Predictive Maintenance
- In-vehicle Infotainment
- Fleet Management
- Driver Behaviour Monitoring
- Traffic and Navigation Assistance
- Smart Parking
- Telematics
Company Profiles
The companies covered in the report include
- NVIDIA Corporation
- Intel Corporation
- Qualcomm Incorporated
- Robert Bosch GmbH
- Aptiv PLC
- Continental AG
- Arm Ltd.
- Huawei Technologies Co., Ltd.
- NXP Semiconductors
- Infineon Technologies AG
What does this report deliver?
1. Comprehensive analysis of the global as well as regional markets of the computing and AI for automotive market.2. Complete coverage of all the segments in the computing and AI for automotive market to analyze the trends, developments in the global market and forecast of market size up to 2032.
3. Comprehensive analysis of the companies operating in the global computing and AI for automotive market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
Table of Contents
Chapter 1. Preface
Chapter 2. Executive Summary
Chapter 3. Global Computing and AI for Automotive Market Overview
Chapter 5. Company Profiles and Competitive Landscape
Chapter 6. Global Computing and AI for Automotive Market by Component
Chapter 7. Global Computing and AI for Automotive Market by Vehicle Type
Chapter 8. Global Computing and AI for Automotive Market by Application
Chapter 9. Global Computing and AI for Automotive Market by Region 2024-2032
