Artificial Intelligence (AI) In Automotive Market Report
RA05930
Artificial Intelligence (AI) in Automotive Market, by Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing), Application (Human–Machine Interface, Semi-autonomous Driving, Autonomous Driving), Frequency (Signal Recognition, Image Recognition, Data Mining), Car Sharing (Hardware, Software): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global artificial intelligence (ai) in automotive market is estimated to surpass $21,079.2 million by 2027, exhibiting a CAGR of 39.2% from 2020 to 2027.
The report provides all-inclusive analysis of global artificial intelligence (ai) in automotive market with comprehensive study of the various facets of the market including market dynamics, major segments and regions, top leading players, and competitive landscape.
The report emphasizes current market scenario and future trends of the global artificial intelligence (ai) in automotive market which gleaned from the impact of various market dynamics such as drivers, challenges & restraints, lucrative opportunities. The report also highlights the key forces that are shaping the market. Besides, the report provides Porter’s five forces analysis which precisely underlines the impact of key forces on the global artificial intelligence (ai) in automotive market.
In addition, the report provides market size and forecast scrutinizing global artificial intelligence (ai) in automotive market through different segments. The report highlights the geographical market analysis of these segments and each segment is thoroughly studied at regional as well as country level to get clearer picture of the global artificial intelligence (ai) in automotive market. In the report, the global artificial intelligence (ai) in automotive market is divided into four major regions including North America, Europe, Asia-Pacific, and LAMEA. These regions are further divided into major countries to cover artificial intelligence (ai) in automotive market landscape in respective regions.
Furthermore, competitive scenario of the global artificial intelligence (ai) in automotive market is covered in the report. Major players functioning in the global artificial intelligence (ai) in automotive market are also studied to understand their position and competitive strengths in the industry. The major company profiles covered in the report include various company’s datum such as brief overview, recent financials, main executives, adoption of key growth strategies, novel advancements or initiatives to sustain and expand their position in the global artificial intelligence (ai) in automotive market, and others.
Research Methodology
Research Dive offers its clients extensive research and analysis gleaned from wide variety of factual inputs that largely includes interview with participants of the industry, reliable data & statistics, and regional intelligence. The in-house experts of the industry play a crucial role in designing analytic tools and models, tailor-made to the requests of an industry segment. The data and statistics are sterilized with these analytical tools and models, which enhances the accuracy of our advice and recommendations.
This research report is delivered by Research Dive by conducting long hours of discussions and interviews, with a broad range of stakeholders, which includes upstream and downstream participants. Our analysts have performed a mix of primary and secondary research for the market estimations and forecasts. A number of product type literatures, industry releases, annual reports, and other related documents of major participants of the industry have been reviewed, to better understand the global artificial intelligence (ai) in automotive market scenario. The initial phase of our in-depth study, where we perform wide-range data mining, referring to proficient & verified data sources such as independent studies, medical journals, technical journals, releases by trade association, materials published by government & regulatory authorities, and other.
KEY MARKET BENEFITS
- This report is a compilation of detailed study, information, valid inputs from industry experts & industry participants across the value chain, and quantitative & qualitative assessment by analysts of the industry.
- The report provides a comprehensive analysis along with the current trends of market during the forecast period from 2019 to 2027 to identify & comprehend the prevailing opportunities and the strategic assessment of the global artificial intelligence (ai) in automotive market growth.
- The report studies the market from 2019 to 2027 and maps the qualitative impact of several industry factors on market segments as well as geographies.
- The report provides market estimations and size which is based on in-depth analysis of recent & key developments in the artificial intelligence (ai) in automotive market.
- The development strategies implemented by the key industry players are conscripted in the report to understand the competitive scenario of the global artificial intelligence (ai) in automotive market.
KEY MARKET SEGMENTS
The market has been studied based on the following segments:
- Technology: Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing
- Application: Human
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1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
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2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global Artificial Intelligence (AI) in Automotive Market
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3. EXECUTIVE SUMMARY
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4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on Artificial Intelligence (AI) in Automotive Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
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5. Artificial Intelligence (AI) In Automotive Market, By Deployment
5.1. Overview
5.2 Deep Learning
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 Machine Learning
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Context Awareness
5.4.1 Definition, key trends, growth factors, and opportunities
5.4.2 Market size analysis, by region, 2020-2027
5.4.3 Market share analysis, by country, 2020-2027
5.5 Computer Vision
5.5.1 Definition, key trends, growth factors, and opportunities
5.5.2 Market size analysis, by region, 2020-2027
5.5.3 Market share analysis, by country, 2020-2027
5.6 Natural Language Processing
5.6.1 Definition, key trends, growth factors, and opportunities
5.6.2 Market size analysis, by region, 2020-2027
5.6.3 Market share analysis, by country, 2020-2027
5.7 Research Dive Exclusive Insights
5.7.1 Market attractiveness
5.7.2 Competition heatmap
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6. Artificial Intelligence (AI) In Automotive Market, By End Use
6.1. Overview
6.2 Human–Machine Interface
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Semi-autonomous Driving
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Autonomous Driving
6.4.1 Definition, key trends, growth factors, and opportunities
6.4.2 Market size analysis, by region, 2020-2027
6.4.3 Market share analysis, by country, 2020-2027
6.5 Research Dive Exclusive Insights
6.5.1 Market attractiveness
6.5.2 Competition heatmap
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7. Artificial Intelligence (AI) In Automotive Market, By Hardware
7.1. Overview
7.2 Signal Recognition
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Image Recognition
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 Data Mining
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 Research Dive Exclusive Insights
7.5.1 Market attractiveness
7.5.2 Competition heatmap
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8. Artificial Intelligence (AI) In Automotive Market, By Process
8.1. Overview
8.2 Hardware
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Software
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Research Dive Exclusive Insights
8.4.1 Market attractiveness
8.4.2 Competition heatmap
9. Artificial Intelligence (AI) In Automotive Market, By Region
9.1 North America
9.1.1 U.S
9.1.1.1 Market size analysis, By Deployment, 2020-2027
9.1.1.2 Market size analysis, By End Use, 2020-2027
9.1.1.3 Market size analysis, By Hardware, 2020-2027
9.1.1.4 Market size analysis, By Process, 2020-2027
9.1.2 Canada
9.1.2.1 Market size analysis, By Deployment, 2020-2027
9.1.2.2 Market size analysis, By End Use, 2020-2027
9.1.2.3 Market size analysis, By Hardware, 2020-2027
9.1.2.4 Market size analysis, By Process, 2020-2027
9.1.3 Mexico
9.1.3.1 Market size analysis, By Deployment, 2020-2027
9.1.3.2 Market size analysis, By End Use, 2020-2027
9.1.3.3 Market size analysis, By Hardware, 2020-2027
9.1.3.4 Market size analysis, By Process, 2020-2027
9.1.4 Research Dive Exclusive Insights
9.1.4.1 Market attractiveness
9.1.4.2 Competition heatmap
9.2 Europe
9.2.1 Germany
9.2.1.1 Market size analysis, By Deployment, 2020-2027
9.2.1.2 Market size analysis, By End Use, 2020-2027
9.2.1.3 Market size analysis, By Hardware, 2020-2027
9.2.1.4 Market size analysis, By Process, 2020-2027
9.2.2 UK
9.2.2.1 Market size analysis, By Deployment, 2020-2027
9.2.2.2 Market size analysis, By End Use, 2020-2027
9.2.2.3 Market size analysis, By Hardware, 2020-2027
9.2.2.4 Market size analysis, By Process, 2020-2027
9.2.3 France
9.2.3.1 Market size analysis, By Deployment, 2020-2027
9.2.3.2 Market size analysis, By End Use, 2020-2027
9.2.3.3 Market size analysis, By Hardware, 2020-2027
9.2.3.4 Market size analysis, By Process, 2020-2027
9.2.4 Spain
9.2.4.1 Market size analysis, By Deployment, 2020-2027
9.2.4.2 Market size analysis, By End Use, 2020-2027
9.2.4.3 Market size analysis, By Hardware, 2020-2027
9.2.4.4 Market size analysis, By Process, 2020-2027
9.2.5 Italy
9.2.5.1 Market size analysis, By Deployment, 2020-2027
9.2.5.2 Market size analysis, By End Use, 2020-2027
9.2.5.3 Market size analysis, By Hardware, 2020-2027
9.2.5.4 Market size analysis, By Process, 2020-2027
9.2.6 Rest of Europe
9.2.6.1 Market size analysis, By Deployment, 2020-2027
9.2.6.2 Market size analysis, By End Use, 2020-2027
9.2.6.3 Market size analysis, By Hardware, 2020-2027
9.2.6.4 Market size analysis, By Process, 2020-2027
9.2.7 Research Dive Exclusive Insights
9.2.7.1 Market attractiveness
9.2.7.2 Competition heatmap
9.3 Asia-Pacific
9.3.1 China
9.3.1.1 Market size analysis, By Deployment, 2020-2027
9.3.1.2 Market size analysis, By End Use, 2020-2027
9.3.1.3 Market size analysis, By Hardware, 2020-2027
9.3.1.4 Market size analysis, By Process, 2020-2027
9.3.2 Japan
9.3.2.1 Market size analysis, By Deployment, 2020-2027
9.3.2.2 Market size analysis, By End Use, 2020-2027
9.3.2.3 Market size analysis, By Hardware, 2020-2027
9.3.2.4 Market size analysis, By Process, 2020-2027
9.3.3 India
9.3.3.1 Market size analysis, By Deployment, 2020-2027
9.3.3.2 Market size analysis, By End Use, 2020-2027
9.3.3.3 Market size analysis, By Hardware, 2020-2027
9.3.3.4 Market size analysis, By Process, 2020-2027
9.3.4 Australia
9.3.4.1 Market size analysis, By Deployment, 2020-2027
9.3.4.2 Market size analysis, By End Use, 2020-2027
9.3.4.3 Market size analysis, By Hardware, 2020-2027
9.3.4.4 Market size analysis, By Process, 2020-2027
9.3.5 South Korea
9.3.5.1 Market size analysis, By Deployment, 2020-2027
9.3.5.2 Market size analysis, By End Use, 2020-2027
9.3.5.3 Market size analysis, By Hardware, 2020-2027
9.3.5.4 Market size analysis, By Process, 2020-2027
9.3.6 Rest of Asia-Pacific
9.3.6.1 Market size analysis, By Deployment, 2020-2027
9.3.6.2 Market size analysis, By End Use, 2020-2027
9.3.6.3 Market size analysis, By Hardware, 2020-2027
9.3.6.4 Market size analysis, By Process, 2020-2027
9.3.7 Research Dive Exclusive Insights
9.3.7.1 Market attractiveness
9.3.7.2 Competition heatmap
9.4 LAMEA
9.4.1 Brazil
9.4.1.1 Market size analysis, By Deployment, 2020-2027
9.4.1.2 Market size analysis, By End Use, 2020-2027
9.4.1.3 Market size analysis, By Hardware, 2020-2027
9.4.1.4 Market size analysis, By Process, 2020-2027
9.4.2 Saudi Arabia
9.4.2.1 Market size analysis, By Deployment, 2020-2027
9.4.2.2 Market size analysis, By End Use, 2020-2027
9.4.2.3 Market size analysis, By Hardware, 2020-2027
9.4.2.4 Market size analysis, By Process, 2020-2027
9.4.3 UAE
9.4.3.1 Market size analysis, By Deployment, 2020-2027
9.4.3.2 Market size analysis, By End Use, 2020-2027
9.4.3.3 Market size analysis, By Hardware, 2020-2027
9.4.3.4 Market size analysis, By Process, 2020-2027
9.4.4 South Africa
9.4.4.1 Market size analysis, By Deployment, 2020-2027
9.4.4.2 Market size analysis, By End Use, 2020-2027
9.4.4.3 Market size analysis, By Hardware, 2020-2027
9.4.4.4 Market size analysis, By Process, 2020-2027
9.4.5 Rest of LAMEA
9.4.5.1 Market size analysis, By Deployment, 2020-2027
9.4.5.2 Market size analysis, By End Use, 2020-2027
9.4.5.3 Market size analysis, By Hardware, 2020-2027
9.4.5.4 Market size analysis, By Process, 2020-2027
9.4.6 Research Dive Exclusive Insights
9.4.6.1 Market attractiveness
9.4.6.2 Competition heatmap
10. Competitive Landscape
10.1 Top winning strategies, 2020-2027
10.1.1 By strategy
10.1.2 By year
10.2 Strategic overview
10.3 Market share analysis, 2020-2027
11. Company Profiles
11.1 NVIDIA Corporation (US)
11.1.1 Overview
11.1.2 Business segments
11.1.3 Product portfolio
11.1.4 Financial performance
11.1.5 Recent developments
11.1.6 SWOT analysis
11.2 Alphabet Inc. (US)
11.2.1 Overview
11.2.2 Business segments
11.2.3 Product portfolio
11.2.4 Financial performance
11.2.5 Recent developments
11.2.6 SWOT analysis
11.3 Intel Corporation (US)
11.3.1 Overview
11.3.2 Business segments
11.3.3 Product portfolio
11.3.4 Financial performance
11.3.5 Recent developments
11.3.6 SWOT analysis
11.4 IBM Corporation (US)
11.4.1 Overview
11.4.2 Business segments
11.4.3 Product portfolio
11.4.4 Financial performance
11.4.5 Recent developments
11.4.6 SWOT analysis
11.5 Microsoft Corporation (US)
11.5.1 Overview
11.5.2 Business segments
11.5.3 Product portfolio
11.5.4 Financial performance
11.5.5 Recent developments
11.5.6 SWOT analysis
11.6 Harman International Industries Inc. (US)
11.6.1 Overview
11.6.2 Business segments
11.6.3 Product portfolio
11.6.4 Financial performance
11.6.5 Recent developments
11.6.6 SWOT analysis
11.7 Xilinx Inc. (US)
11.7.1 Overview
11.7.2 Business segments
11.7.3 Product portfolio
11.7.4 Financial performance
11.7.5 Recent developments
11.7.6 SWOT analysis
11.8 Qualcomm Inc. (US)
11.8.1 Overview
11.8.2 Business segments
11.8.3 Product portfolio
11.8.4 Financial performance
11.8.5 Recent developments
11.8.6 SWOT analysis
11.9 Tesla Inc. (US)
11.9.1 Overview
11.9.2 Business segments
11.9.3 Product portfolio
11.9.4 Financial performance
11.9.5 Recent developments
11.9.6 SWOT analysis
11.10 Volvo Car Corporation (Sweden)
11.10.1 Overview
11.10.2 Business segments
11.10.3 Product portfolio
11.10.4 Financial performance
11.10.5 Recent developments
11.10.6 SWOT analysis
11.11 BMW AG (Germany)
11.11.1 Overview
11.11.2 Business segments
11.11.3 Product portfolio
11.11.4 Financial performance
11.11.5 Recent developments
11.11.6 SWOT analysis
11.12 Audi AG (Germany)
11.12.1 Overview
11.12.2 Business segments
11.12.3 Product portfolio
11.12.4 Financial performance
11.12.5 Recent developments
11.12.6 SWOT analysis
11.13 General Motors Company (US)
11.13.1 Overview
11.13.2 Business segments
11.13.3 Product portfolio
11.13.4 Financial performance
11.13.5 Recent developments
11.13.6 SWOT analysis
11.14 Ford Motor Company (US)
11.14.1 Overview
11.14.2 Business segments
11.14.3 Product portfolio
11.14.4 Financial performance
11.14.5 Recent developments
11.14.6 SWOT analysis
11.15 Toyota Motor Corporation (Japan)
11.15.1 Overview
11.15.2 Business segments
11.15.3 Product portfolio
11.15.4 Financial performance
11.15.5 Recent developments
11.15.6 SWOT analysis
11.16 Hyundai Motor Corporation (South Korea)
11.16.1 Overview
11.16.2 Business segments
11.16.3 Product portfolio
11.16.4 Financial performance
11.16.5 Recent developments
11.16.6 SWOT analysis
11.17 Uber Technologies Inc. (US)
11.17.1 Overview
11.17.2 Business segments
11.17.3 Product portfolio
11.17.4 Financial performance
11.17.5 Recent developments
11.17.6 SWOT analysis
11.18 Honda Motor Co. Ltd. (Japan)
11.18.1 Overview
11.18.2 Business segments
11.18.3 Product portfolio
11.18.4 Financial performance
11.18.5 Recent developments
11.18.6 SWOT analysis
11.19 Daimler AG (Germany)
11.19.1 Overview
11.19.2 Business segments
11.19.3 Product portfolio
11.19.4 Financial performance
11.19.5 Recent developments
11.19.6 SWOT analysis
11.20 and Didi Chuxing (China). Some important start-ups of the automotive AI market have also been included
11.20.1 Overview
11.20.2 Business segments
11.20.3 Product portfolio
11.20.4 Financial performance
11.20.5 Recent developments
11.20.6 SWOT analysis
11.21 AImotive (Hungary)
11.21.1 Overview
11.21.2 Business segments
11.21.3 Product portfolio
11.21.4 Financial performance
11.21.5 Recent developments
11.21.6 SWOT analysis
11.22 Nauto Inc. (US)
11.22.1 Overview
11.22.2 Business segments
11.22.3 Product portfolio
11.22.4 Financial performance
11.22.5 Recent developments
11.22.6 SWOT analysis
11.23 nuTonomy (US)
11.23.1 Overview
11.23.2 Business segments
11.23.3 Product portfolio
11.23.4 Financial performance
11.23.5 Recent developments
11.23.6 SWOT analysis
11.24 Argo AI (US)
11.24.1 Overview
11.24.2 Business segments
11.24.3 Product portfolio
11.24.4 Financial performance
11.24.5 Recent developments
11.24.6 SWOT analysis
11.25 and drive.ai (US).
11.25.1 Overview
11.25.2 Business segments
11.25.3 Product portfolio
11.25.4 Financial performance
11.25.5 Recent developments
11.25.6 SWOT analysis
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