Industry Growth Insights published a new data on “Artificial Intelligence (AI) in Automotive Market”. The research report is titled “Artificial Intelligence (AI) in Automotive Market research by Types (Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing (NLP)), By Applications (Human-Machine Interface (HMI), Semi-Autonomous Vehicle, Autonomous Vehicle), By Players/Companies Alphabet (Google), IBM, Intel, Samsung, Microsoft, Amazon Web Services, Qualcomm, Micron, Tesla, Toyota Motor Corporation, Uber Technologies, Volvo Corporation, Xilinx, SoundHound, Audi, BMW, Daimler, Didi Chuxing, Ford Motor Company, General Motors Company, Harman Industrial Industries, Honda Motor, Hyundai Motor Corporation”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence (AI) in Automotive Market Research Report
By Type
Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing (NLP)
By Application
Human-Machine Interface (HMI), Semi-Autonomous Vehicle, Autonomous Vehicle
By Companies
Alphabet (Google), IBM, Intel, Samsung, Microsoft, Amazon Web Services, Qualcomm, Micron, Tesla, Toyota Motor Corporation, Uber Technologies, Volvo Corporation, Xilinx, SoundHound, Audi, BMW, Daimler, Didi Chuxing, Ford Motor Company, General Motors Company, Harman Industrial Industries, Honda Motor, Hyundai Motor Corporation
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
189
Number of Tables & Figures
133
Customization Available
Yes, the report can be customized as per your need.
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Global Artificial Intelligence (AI) in Automotive Market Report Segments:
The global Artificial Intelligence (AI) in Automotive market is segmented on the basis of:
Types
Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing (NLP)
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Human-Machine Interface (HMI), Semi-Autonomous Vehicle, Autonomous Vehicle
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Alphabet (Google)
- IBM
- Intel
- Samsung
- Microsoft
- Amazon Web Services
- Qualcomm
- Micron
- Tesla
- Toyota Motor Corporation
- Uber Technologies
- Volvo Corporation
- Xilinx
- SoundHound
- Audi
- BMW
- Daimler
- Didi Chuxing
- Ford Motor Company
- General Motors Company
- Harman Industrial Industries
- Honda Motor
- Hyundai Motor Corporation
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Highlights of The Artificial Intelligence (AI) in Automotive Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Computer Vision
- Context Awareness
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- By Application:
- Human-Machine Interface (HMI)
- Semi-Autonomous Vehicle
- Autonomous Vehicle
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence (AI) in Automotive Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence (AI) is a subset of machine learning that deals with the creation of intelligent agents, which are systems that can reason and learn like humans. Automotive companies are increasingly using AI to help them make better decisions about how to design cars, improve safety features, and more.
Some of the major players in the artificial intelligence (ai) in automotive market are Alphabet (Google), IBM, Intel, Samsung, Microsoft, Amazon Web Services, Qualcomm, Micron, Tesla, Toyota Motor Corporation, Uber Technologies, Volvo Corporation, Xilinx, SoundHound, Audi, BMW, Daimler, Didi Chuxing, Ford Motor Company, General Motors Company, Harman Industrial Industries, Honda Motor, Hyundai Motor Corporation.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence (AI) in Automotive Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence (AI) in Automotive Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence (AI) in Automotive Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence (AI) in Automotive Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence (AI) in Automotive Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence (AI) in Automotive Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence (AI) in Automotive Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence (AI) in Automotive Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
5.2.1 Computer Vision
5.2.2 Context Awareness
5.2.3 Deep Learning
5.2.4 Machine Learning
5.2.5 Natural Language Processing (NLP)
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence (AI) in Automotive Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
6.2.1 Human-Machine Interface (HMI)
6.2.2 Semi-Autonomous Vehicle
6.2.3 Autonomous Vehicle
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence (AI) in Automotive Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence (AI) in Automotive Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence (AI) in Automotive Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence (AI) in Automotive Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
9.6.1 Computer Vision
9.6.2 Context Awareness
9.6.3 Deep Learning
9.6.4 Machine Learning
9.6.5 Natural Language Processing (NLP)
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
9.10.1 Human-Machine Interface (HMI)
9.10.2 Semi-Autonomous Vehicle
9.10.3 Autonomous Vehicle
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence (AI) in Automotive Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence (AI) in Automotive Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
10.6.1 Computer Vision
10.6.2 Context Awareness
10.6.3 Deep Learning
10.6.4 Machine Learning
10.6.5 Natural Language Processing (NLP)
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
10.10.1 Human-Machine Interface (HMI)
10.10.2 Semi-Autonomous Vehicle
10.10.3 Autonomous Vehicle
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence (AI) in Automotive Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence (AI) in Automotive Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
11.6.1 Computer Vision
11.6.2 Context Awareness
11.6.3 Deep Learning
11.6.4 Machine Learning
11.6.5 Natural Language Processing (NLP)
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
11.10.1 Human-Machine Interface (HMI)
11.10.2 Semi-Autonomous Vehicle
11.10.3 Autonomous Vehicle
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence (AI) in Automotive Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence (AI) in Automotive Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
12.6.1 Computer Vision
12.6.2 Context Awareness
12.6.3 Deep Learning
12.6.4 Machine Learning
12.6.5 Natural Language Processing (NLP)
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
12.10.1 Human-Machine Interface (HMI)
12.10.2 Semi-Autonomous Vehicle
12.10.3 Autonomous Vehicle
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence (AI) in Automotive Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence (AI) in Automotive Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence (AI) in Automotive Market Size Forecast by Type
13.6.1 Computer Vision
13.6.2 Context Awareness
13.6.3 Deep Learning
13.6.4 Machine Learning
13.6.5 Natural Language Processing (NLP)
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence (AI) in Automotive Market Size Forecast by Applications
13.10.1 Human-Machine Interface (HMI)
13.10.2 Semi-Autonomous Vehicle
13.10.3 Autonomous Vehicle
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence (AI) in Automotive Market: Competitive Dashboard
14.2 Global Artificial Intelligence (AI) in Automotive Market: Market Share Analysis, 2019
14.3 Company Profiles (Details - Overview, Financials, Developments, Strategy)
14.3.1 Alphabet (Google)
14.3.2 IBM
14.3.3 Intel
14.3.4 Samsung
14.3.5 Microsoft
14.3.6 Amazon Web Services
14.3.7 Qualcomm
14.3.8 Micron
14.3.9 Tesla
14.3.10 Toyota Motor Corporation
14.3.11 Uber Technologies
14.3.12 Volvo Corporation
14.3.13 Xilinx
14.3.14 SoundHound
14.3.15 Audi
14.3.16 BMW
14.3.17 Daimler
14.3.18 Didi Chuxing
14.3.19 Ford Motor Company
14.3.20 General Motors Company
14.3.21 Harman Industrial Industries
14.3.22 Honda Motor
14.3.23 Hyundai Motor Corporation
