The AI in automotive and transportation market size has grown rapidly in recent years. It will grow from $9.93 billion in 2023 to $11.88 billion in 2024 at a compound annual growth rate (CAGR) of 19.7%. The historical period's growth can be attributed to advancements in sensor technology, the proliferation of connected vehicles, progress in machine learning and deep learning capabilities, collaborative efforts and partnerships within the industry, and a transition towards mobility services.
The AI in automotive and transportation market size is expected to see rapid growth in the next few years. It will grow to $24.57 billion in 2028 at a compound annual growth rate (CAGR) of 19.9%. The growth in the forecast period can be attributed to autonomous driving research and development, the rise of electric and connected vehicles, urbanization and smart cities, global megatrends and economic factors, and consumer demand for safety and convenience. Major trends in the forecast period include integration of AI with v2x communication, edge computing for AI, data monetization opportunities, urban air mobility (UAM) integration, and human-machine interaction (HMI) innovation.
The rising demand for autonomous vehicles is set to drive the future growth of the AI in automotive and transportation market. Autonomous vehicles, equipped with sensors, cameras, and AI technology, can operate and navigate without human intervention. Their increasing demand stems from the potential to enhance safety, convenience, and efficiency in transportation. AI in autonomous vehicles facilitates real-time perception of surroundings through sensor data analysis and decision-making, enabling safe and efficient navigation without human involvement. For instance, a report published by the Insurance Institute for Highway Safety in December 2022 projects that American roads will accommodate 3.5 million autonomous vehicles by 2025 and 4.5 million by 2030. Hence, the growing demand for autonomous vehicles propels the expansion of the AI in automotive and transportation market.
Key players in the AI in automotive and transportation sector are innovating technologically advanced products, such as vehicle search tools, to gain a competitive edge. Vehicle search tools, comprising electronic devices or software, diagnose, reprogram, and interface with vehicle control modules in the automotive and transportation industries. For example, in February 2024, Rodo, a US-based automotive technology company, introduced an AI-powered vehicle search tool. This groundbreaking solution transforms vehicle searches, offering unmatched convenience and simplicity by providing customers with precise insights into competitively priced vehicles online. It delivers instant, personalized results and competitive pricing, replicating the in-store interaction between customers and salespersons. Leveraging its AI technology, the platform addresses specific customer queries, ensuring immediate results and offering a smarter, faster vehicle discovery experience.
In January 2024, Stellantis N.V., a Netherlands-based automobile corporation, acquired artificial intelligence and machine learning technology, along with intellectual property rights and patents, from CloudMade for an undisclosed sum. Through this acquisition, Stellantis aims to reinforce its software strategy and expedite the development of its STLA smart cockpit, striving to create intelligent mobility solutions swiftly and flexibly to digitally integrate vehicles and drivers. CloudMade, a UK-based provider of AI in automotive and transportation, adds strategic value to Stellantis' objectives.
Major companies operating in the AI in automotive and transportation market are Alphabet Inc., Toyota Motor Corporation, Microsoft Corporation, Bayerische Motoren Werke AG, Robert Bosch GmbH, Tesla Inc., Siemens AG, Intel Corporation, International Business Machines Corporation (IBM), AUDI AG, Denso Corporation, Qualcomm Technologies Inc., Continental AG, Uber Technologies Inc., Micron Technology Inc., Volvo Cars, NVIDIA Corporation, Valeo SA, Harman International, Otto GmbH, Scania AB, Argo AI LLC, CarVi Inc., Arbe Robotics Ltd., Visteon Corporation.
North America was the largest region in the AI in automotive and transportation market in 2023. The regions covered in the ai in automotive and transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI in automotive and transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI in automotive and transportation involves integrating artificial intelligence technologies into vehicles and transportation systems to enhance safety, efficiency, and user satisfaction. This integration empowers vehicles with intelligence, enabling functionalities such as self-driving capabilities, predictive maintenance, and personalized user experiences.
The primary offerings in AI for automotive and transportation comprise hardware and software components. Hardware encompasses the physical elements of vehicles and infrastructure, including sensors, processors, and computing units, utilized for data collection and processing in AI applications. This hardware incorporates various technologies such as machine learning, natural language processing, computer vision, context-aware computing, among others. Its applications span human-machine interfaces, driver monitoring, driver or identity authentication, autonomous driving processing chips, and intelligent traffic management systems.
The AI in automotive and transportation market research report is one of a series of new reports that provides AI in automotive and transportation market statistics, including AI in automotive and transportation industry global market size, regional shares, competitors with a AI in automotive and transportation market share, detailed AI in automotive and transportation market segments, market trends and opportunities, and any further data you may need to thrive in the AI in automotive and transportation industry. This AI in automotive and transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in automotive and transportation market consists revenues earned by entities by providing services such as smart navigation, traffic management, fleet management, and vehicle diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in automotive and transportation market also includes of sales of advanced driver assistance systems, in-vehicle infotainment systems, predictive maintenance solutions, traffic management systems, and energy management systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The AI in automotive and transportation market size is expected to see rapid growth in the next few years. It will grow to $24.57 billion in 2028 at a compound annual growth rate (CAGR) of 19.9%. The growth in the forecast period can be attributed to autonomous driving research and development, the rise of electric and connected vehicles, urbanization and smart cities, global megatrends and economic factors, and consumer demand for safety and convenience. Major trends in the forecast period include integration of AI with v2x communication, edge computing for AI, data monetization opportunities, urban air mobility (UAM) integration, and human-machine interaction (HMI) innovation.
The rising demand for autonomous vehicles is set to drive the future growth of the AI in automotive and transportation market. Autonomous vehicles, equipped with sensors, cameras, and AI technology, can operate and navigate without human intervention. Their increasing demand stems from the potential to enhance safety, convenience, and efficiency in transportation. AI in autonomous vehicles facilitates real-time perception of surroundings through sensor data analysis and decision-making, enabling safe and efficient navigation without human involvement. For instance, a report published by the Insurance Institute for Highway Safety in December 2022 projects that American roads will accommodate 3.5 million autonomous vehicles by 2025 and 4.5 million by 2030. Hence, the growing demand for autonomous vehicles propels the expansion of the AI in automotive and transportation market.
Key players in the AI in automotive and transportation sector are innovating technologically advanced products, such as vehicle search tools, to gain a competitive edge. Vehicle search tools, comprising electronic devices or software, diagnose, reprogram, and interface with vehicle control modules in the automotive and transportation industries. For example, in February 2024, Rodo, a US-based automotive technology company, introduced an AI-powered vehicle search tool. This groundbreaking solution transforms vehicle searches, offering unmatched convenience and simplicity by providing customers with precise insights into competitively priced vehicles online. It delivers instant, personalized results and competitive pricing, replicating the in-store interaction between customers and salespersons. Leveraging its AI technology, the platform addresses specific customer queries, ensuring immediate results and offering a smarter, faster vehicle discovery experience.
In January 2024, Stellantis N.V., a Netherlands-based automobile corporation, acquired artificial intelligence and machine learning technology, along with intellectual property rights and patents, from CloudMade for an undisclosed sum. Through this acquisition, Stellantis aims to reinforce its software strategy and expedite the development of its STLA smart cockpit, striving to create intelligent mobility solutions swiftly and flexibly to digitally integrate vehicles and drivers. CloudMade, a UK-based provider of AI in automotive and transportation, adds strategic value to Stellantis' objectives.
Major companies operating in the AI in automotive and transportation market are Alphabet Inc., Toyota Motor Corporation, Microsoft Corporation, Bayerische Motoren Werke AG, Robert Bosch GmbH, Tesla Inc., Siemens AG, Intel Corporation, International Business Machines Corporation (IBM), AUDI AG, Denso Corporation, Qualcomm Technologies Inc., Continental AG, Uber Technologies Inc., Micron Technology Inc., Volvo Cars, NVIDIA Corporation, Valeo SA, Harman International, Otto GmbH, Scania AB, Argo AI LLC, CarVi Inc., Arbe Robotics Ltd., Visteon Corporation.
North America was the largest region in the AI in automotive and transportation market in 2023. The regions covered in the ai in automotive and transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI in automotive and transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI in automotive and transportation involves integrating artificial intelligence technologies into vehicles and transportation systems to enhance safety, efficiency, and user satisfaction. This integration empowers vehicles with intelligence, enabling functionalities such as self-driving capabilities, predictive maintenance, and personalized user experiences.
The primary offerings in AI for automotive and transportation comprise hardware and software components. Hardware encompasses the physical elements of vehicles and infrastructure, including sensors, processors, and computing units, utilized for data collection and processing in AI applications. This hardware incorporates various technologies such as machine learning, natural language processing, computer vision, context-aware computing, among others. Its applications span human-machine interfaces, driver monitoring, driver or identity authentication, autonomous driving processing chips, and intelligent traffic management systems.
The AI in automotive and transportation market research report is one of a series of new reports that provides AI in automotive and transportation market statistics, including AI in automotive and transportation industry global market size, regional shares, competitors with a AI in automotive and transportation market share, detailed AI in automotive and transportation market segments, market trends and opportunities, and any further data you may need to thrive in the AI in automotive and transportation industry. This AI in automotive and transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in automotive and transportation market consists revenues earned by entities by providing services such as smart navigation, traffic management, fleet management, and vehicle diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in automotive and transportation market also includes of sales of advanced driver assistance systems, in-vehicle infotainment systems, predictive maintenance solutions, traffic management systems, and energy management systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. AI in Automotive and Transportation Market Characteristics3. AI in Automotive and Transportation Market Trends and Strategies32. Global AI in Automotive and Transportation Market Competitive Benchmarking33. Global AI in Automotive and Transportation Market Competitive Dashboard34. Key Mergers and Acquisitions in the AI in Automotive and Transportation Market
4. AI in Automotive and Transportation Market - Macro Economic Scenario
5. Global AI in Automotive and Transportation Market Size and Growth
6. AI in Automotive and Transportation Market Segmentation
7. AI in Automotive and Transportation Market Regional and Country Analysis
8. Asia-Pacific AI in Automotive and Transportation Market
9. China AI in Automotive and Transportation Market
10. India AI in Automotive and Transportation Market
11. Japan AI in Automotive and Transportation Market
12. Australia AI in Automotive and Transportation Market
13. Indonesia AI in Automotive and Transportation Market
14. South Korea AI in Automotive and Transportation Market
15. Western Europe AI in Automotive and Transportation Market
16. UK AI in Automotive and Transportation Market
17. Germany AI in Automotive and Transportation Market
18. France AI in Automotive and Transportation Market
19. Italy AI in Automotive and Transportation Market
20. Spain AI in Automotive and Transportation Market
21. Eastern Europe AI in Automotive and Transportation Market
22. Russia AI in Automotive and Transportation Market
23. North America AI in Automotive and Transportation Market
24. USA AI in Automotive and Transportation Market
25. Canada AI in Automotive and Transportation Market
26. South America AI in Automotive and Transportation Market
27. Brazil AI in Automotive and Transportation Market
28. Middle East AI in Automotive and Transportation Market
29. Africa AI in Automotive and Transportation Market
30. AI in Automotive and Transportation Market Competitive Landscape and Company Profiles
31. AI in Automotive and Transportation Market Other Major and Innovative Companies
35. AI in Automotive and Transportation Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
AI In Automotive And Transportation Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on AI in automotive and transportation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
- Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
- Assess the Russia - Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
- Measure the impact of high global inflation on market growth.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for AI in automotive and transportation? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The AI in automotive and transportation market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Offering: Hardware; Software2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Context-aware Computing; Other Technologies
3) By Application: Human Machine Interface; Driver Monitoring; Driver Or Identity Authentication; Autonomous Driving Processing Chips; Intelligent Traffic Management System
Key Companies Mentioned: Alphabet Inc.; Toyota Motor Corporation; Microsoft Corporation; Bayerische Motoren Werke AG; Robert Bosch GmbH
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Alphabet Inc.
- Toyota Motor Corporation
- Microsoft Corporation
- Bayerische Motoren Werke AG
- Robert Bosch GmbH
- Tesla Inc.
- Siemens AG
- Intel Corporation
- International Business Machines Corporation (IBM)
- AUDI AG
- Denso Corporation
- Qualcomm Technologies Inc.
- Continental AG
- Uber Technologies Inc.
- Micron Technology Inc.
- Volvo Cars
- NVIDIA Corporation
- Valeo SA
- Harman International
- Otto GmbH
- Scania AB
- Argo AI LLC
- CarVi Inc.
- Arbe Robotics Ltd.
- Visteon Corporation
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | July 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 11.88 Billion |
Forecasted Market Value ( USD | $ 24.57 Billion |
Compound Annual Growth Rate | 19.9% |
Regions Covered | Global |