Global Automotive Artificial Intelligence Market Overview:
According to SPER Market Research, the Global Automotive Artificial Intelligence Market is estimated to reach USD 20.50billion by 2032 with a CAGR of 24.45%.
The introduction of Artificial Intelligence (AI) in the automotive sector ushers in a new era by enabling businesses to monitor operations, boost digital outcomes, and produce autonomous and semi-autonomous vehicles. The growing need for autonomous vehicles, the use of AI in traffic management, cutting-edge automotive technologies, and government initiatives are the main drivers of the worldwide automotive AI market. However, the lack of infrastructure, high procurement costs, and operating costs continue to be barriers to progress.The use of AI in the automotive industry has grown recently. Through conversational interfaces and tailored recommendations based on preferences, AI enhances the customer experience. Additionally, it is utilised to increase the functionality of already-existing technology like voice assistants by enabling them to comprehend your needs and give you pertinent information.
Impact of COVID-19 on theGlobal Automotive Artificial Intelligence Market
Over the last two years in the COVID-19 era, the market for artificial intelligence in the automotive industry has seen a severe decline. The COVID-19 initiative has sped up the adoption of artificial intelligence in key sectors, particularly the car industry. Including post-production, manufacturing, supply chain, design, production, driver assistance, and risk assessment systems, AI is effectively used throughout the automotive value chain. Despite relatively modest sales volume during the first year of the epidemic, the market is progressively gaining traction, according to market participants. Automakers have been forced to reevaluate their short-term plan for redefining automation in light of the COVID-19 outbreak.The market will, nevertheless, expand dramatically in the upcoming years.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2019-2032 |
| Base year considered | 2021 |
| Forecast period | 2022-2032 |
| Segments covered | By Component, By Level of Autonomy, ByTechnology, By Vehicle Type, By Process, By Application |
| Regions covered | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
| Companies Covered | Alphabet Inc., Audi AG, BayerischeMotoren Werke AG, Intel Corporation, International Business Machines, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla Inc., Volvo Car Corporation.
|
Global Automotive Artificial Intelligence Market Segmentation:
By Component: Based on the Component, Global Automotive Artificial Intelligence Market is segmented as; Hardware, Software.
By Level of Autonomy: Based on the Level of Autonomy, Global Automotive Artificial Intelligence Market is segmented as; Level 1, Level 2, Level 3, Level 4.
By Technology: Based on the Technology, Global Automotive Artificial Intelligence Market is segmented as; Machine Learning, Natural Language Processing, Computer Vision, Others.
By Vehicle Type: Based on the Vehicle Type, Global Automotive Artificial Intelligence Market is segmented as; Passenger Vehicles, Commercial Vehicles.
By Process: Based on the Process, Global Automotive Artificial Intelligence Market is segmented as; Single Recognition, Image Recognition, Data Mining.
By Application: Based on the Application, Global Automotive Artificial Intelligence Market is segmented as; Semi-Automatic, Human Machine Interface, Autonomous Driving.
By Region: The region with the major revenue proportion in this market was North America. The area is anticipated to keep the largest market share during the projection period. It may be attributed to the early use of technology, including analytics and artificial intelligence. Due to the increased recruiting for AI positions in the automotive industry, the area will continue to see growth. Additionally, North America has long been a pioneer in the automated vehicle industry, and its efforts to self-driving technology have mostly come from the west coast of the United States.
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1 Research data source
2.1.1 Secondary data
2.1.2 Primary data
2.1.3 SPER’s internal database
2.1.4 Premium insight from KOL’s
2.2 Market size estimation
2.2.1 Top-down and Bottom-up approach
2.3 Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2. COVID-19 Impacts of the Global Automotive Artificial Intelligence Market
5.Market variables and outlook
5.1. SWOT analysis
5.1.1 Strengths
5.1.2 Weaknesses
5.1.3 Opportunities
5.1.4 Threats
5.2. PESTEL analysis
5.2.1 Political landscape
5.2.2 Economic landscape
5.2.3 Social landscape
5.2.4 Technological landscape
5.2.5 Environmental landscape
5.2.6 Legal landscape
5.3. PORTER’S five forces analysis
5.3.1 Bargaining power of suppliers
5.3.2 Bargaining power of Buyers
5.3.3 Threat of Substitute
5.3.4 Threat of new entrant
5.3.5 Competitive rivalry
5.4. Heat map analysis
6. Global Automotive Artificial Intelligence Market, By Component, 2019-2032 (USD Million)
6.1 Hardware
6.2 Software
7. Global Automotive Artificial Intelligence Market, By Level of Autonomy, 2019-2032 (USD Million)
7.1 Level 1
7.2 Level 2
7.3 Level 3
7.4 Level 4
8. GlobalAutomotive Artificial Intelligence Market, By Technology, 2019-2032 (USD Million)
8.1 Machine Learning
8.2Natural Language Processing
8.3 Computer Vision
8.4 Others
9. Global Automotive Artificial Intelligence Market, By Vehicle Type, 2019-2032 (USD Million)
9.1 Passenger Vehicles
9.2 Commercial Vehicles
10.Global Automotive Artificial Intelligence Market, By Process, 2019-2032 (USD Million)
10.1 Single Recognition
10.2 Image Recognition
10.3 Data Mining
11. Global Automotive Artificial Intelligence Market, By Application, 2019-2032 (USD Million)
11.1 Semi-Automatic
11.2 Human Machine Interface
11.3 Autonomous Driving
12.Automotive Artificial Intelligence Market, By Region, 2019-2032 (USD Million)
12.1 North America
12.1.1 United States
12.1.2 Canada
12.1.3 Mexico
12.2 Europe
12.2.1 Germany
12.2.2 United Kingdom
12.2.3 France
12.2.4 Italy
12.2.5 Spain
12.2.6 Rest of Europe
12.3 Asia-Pacific
12.3.1 China
12.3.2 Japan
12.3.3 India
12.3.4 Australia
12.3.5 South Korea
12.3.6 Rest of Asia-Pacific
12.4 South America
12.4.1 Brazil
12.4.2 Argentina
12.4.3 Rest of South America
12.5 Middle East & Africa
12.5.1 Kingdom of Saudi Arabia
12.5.2 United Arab Emirates
12.5.3 Rest of Middle East & Africa
13. Company Profiles
13.1 Alphabet Inc.
13.1.1 Company details
13.1.2 Financial outlook
13.1.3 Product summary
13.1.4 Recent developments
13.2 Audi AG
13.2.1 Company details
13.2.2 Financial outlook
13.2.3 Product summary
13.2.4 Recent developments
13.3 BayerischeMotoren Werke AG
13.3.1 Company details
13.3.2 Financial outlook
13.3.3 Product summary
13.3.4 Recent developments
13.4 Intel Corporation
13.4.1 Company details
13.4.2 Financial outlook
13.4.3 Product summary
13.4.4 Recent developments
13.5 International Business Machines
13.5.1 Company details
13.5.2 Financial outlook
13.5.3 Product summary
13.5.4 Recent developments
13.6 Microsoft Corporation
13.6.1 Company details
13.6.2 Financial outlook
13.6.3 Product summary
13.6.4 Recent developments
13.7 NVIDIA Corporation
13.7.1 Company details
13.7.2 Financial outlook
13.7.3 Product summary
13.7.4 Recent developments
13.8 Qualcomm Inc.
13.8.1 Company details
13.8.2 Financial outlook
13.8.3 Product summary
13.8.4 Recent developments
13.9 Tesla, Inc.
13.9.1 Company details
13.9.2 Financial outlook
13.9.3 Product summary
13.9.4 Recent developments
13.10 Volvo Car Corporation
13.10.1 Company details
13.10.2 Financial outlook
13.10.3 Product summary
13.10.4 Recent developments
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
