A self-driving car, also known as an autonomous car or driverless car, is a vehicle that uses a combination of sensors, cameras, radars and artificial intelligence (AI), to travel between destinations without the need of any human effort. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention, to a predetermined destination, over roads that have not been adapted for its use. The global self-driving car market is expected to expand at a CAGR of 36.2%, leading to global revenue of USD 173.15 Bn by 2023.
The market research report demonstrates market dynamics which includes growth drivers, restraining factors and opportunities and trends spearheading current nature and future status of this market. In addition to this, the report includes market size, Y-O-Y growth analysis and structure of the overall industry based on a unique combination of industry research, fieldwork, market sizing analysis, and our in-house expertise. Our general approach is to target several individuals with specific questions that we believed would satisfy our research objective. Further, to speed up the data collection process, we employed an online survey, delivered via email. Also, the research team analysed the results to identify potential opportunities and risks for the market.
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AI technologies power self-driving car systems. Developers of self-driving cars use vast amounts of data from image recognition systems, along with machine learning and neural networks, to build systems that can drive autonomously. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Automakers and technical vendors are investing in AI to succeed in the era of autonomous vehicles.
The global self-driving car market is segmented on the basis of type of vehicle, product type, application of the car, technology components (hardware and software), and geography. The global market for autonomous cars can be categorized on the basis of its use and application, that is, into personal use and commercial use. In the self-driving car market, products are segregated based on type such as Level 1, Level 2, Level 3, Level 4 and Level 5 automation. The components market comprises radar, video cameras, lidar, ultrasound, central computing and GPS navigation. Geographically, the self-driving car market is segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East and Africa.
Regional Outlook.
The report analyses the market by geographies i.e. North America, Europe, Asia Pacific, Latin America & Middle East & Africa. Further, the geographies are fragmented into the country and regional groupings:
- North America (U.S. & Canada)
- Europe (Germany, United Kingdom, France, Italy, Spain, Russia and Rest of Europe)
- Asia Pacific (China, India, Japan, South Korea, Indonesia, Taiwan, Australia, New Zealand and Rest of Asia Pacific)
- Latin America (Brazil, Mexico, Argentina and Rest of Latin America)
- Middle East & Africa (GCC, North Africa, South Africa and Rest of Middle East & Africa)
Competitive Landscape:
The competitive landscape analysis provides detailed strategic analysis of the company’s business and performance such as financial information, revenue breakup by segment and by geography, SWOT Analysis, key facts, company overview, business strategy, key product offerings, marketing and distribution strategies, new product development, recent news (acquisition, expansion, technology development, research & development and other market activities). The study also provides company’s positioning and market share in Self-driving Car market.
Competitive Landscape:
(Microsoft, Apple, IBM, Cisco) and automobile industry players (Google, Toyota, General Motors, Tesla, Volvo).
Browse Full Report With TOC@ https://www.kdmarketinsights.com/product/global-self-driving-car-market
Table of Content
Chapter 1: Executive summary
1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive Summary
Chapter 2: Global self-driving car market - market overview
2.1. Global market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD Bn)
2.2. Global market drivers and challenges
2.3. Value chain analysis of self-driving car market
2.4. Porter’s Five Forces Analysis
2.5. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
2.5. a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. Market segmentation on the basis of application (passenger use and commercial use)
2.6. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
2.7. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. Market segmentation on the basis of technology components (radar sensors, video cameras, lidar senors, ultrasound sensors, central computing systems, GPS navigation systems)
2.8. a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 3: North America self-driving car market - market overview
3.1. Market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
3.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market segmentation on the basis of application (passenger use and commercial use)
3.4. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5level 1, level 2, level 3, level 4 and level 5 automation)
3.5. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
3.6. a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 4: Europe self-driving car market - market overview
4.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
4.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market segmentation on the basis of application (passenger use and commercial use)
4.4. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
4.5. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Continue….
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About Us:
KD Market Insights offers a comprehensive database of syndicated research studies, customized reports, and consulting services. These reports are created to help in making smart, instant and crucial decisions based on extensive and in-depth quantitative information, supported by extensive analysis and industry insights.
Our dedicated in-house team ensures the reports satisfy the requirement of the client. We aim at providing value service to our clients. Our reports are backed by extensive industry coverage and is made sure to give importance to the specific needs of our clients. The main idea is to enable our clients to make an informed decision, by keeping them and ourselves up to date with the latest trends in the market.
Contact Us:
KD Market Insights
150 State Street, Albany,
New York, USA 12207
+1 (518) 300-1215
Email: sales@kdmarketinsights.com
Website: www.kdmarketinsights.com
The market research report demonstrates market dynamics which includes growth drivers, restraining factors and opportunities and trends spearheading current nature and future status of this market. In addition to this, the report includes market size, Y-O-Y growth analysis and structure of the overall industry based on a unique combination of industry research, fieldwork, market sizing analysis, and our in-house expertise. Our general approach is to target several individuals with specific questions that we believed would satisfy our research objective. Further, to speed up the data collection process, we employed an online survey, delivered via email. Also, the research team analysed the results to identify potential opportunities and risks for the market.
Request for Sample @ https://www.kdmarketinsights.com/sample/3196
AI technologies power self-driving car systems. Developers of self-driving cars use vast amounts of data from image recognition systems, along with machine learning and neural networks, to build systems that can drive autonomously. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Automakers and technical vendors are investing in AI to succeed in the era of autonomous vehicles.
The global self-driving car market is segmented on the basis of type of vehicle, product type, application of the car, technology components (hardware and software), and geography. The global market for autonomous cars can be categorized on the basis of its use and application, that is, into personal use and commercial use. In the self-driving car market, products are segregated based on type such as Level 1, Level 2, Level 3, Level 4 and Level 5 automation. The components market comprises radar, video cameras, lidar, ultrasound, central computing and GPS navigation. Geographically, the self-driving car market is segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East and Africa.
Regional Outlook.
The report analyses the market by geographies i.e. North America, Europe, Asia Pacific, Latin America & Middle East & Africa. Further, the geographies are fragmented into the country and regional groupings:
- North America (U.S. & Canada)
- Europe (Germany, United Kingdom, France, Italy, Spain, Russia and Rest of Europe)
- Asia Pacific (China, India, Japan, South Korea, Indonesia, Taiwan, Australia, New Zealand and Rest of Asia Pacific)
- Latin America (Brazil, Mexico, Argentina and Rest of Latin America)
- Middle East & Africa (GCC, North Africa, South Africa and Rest of Middle East & Africa)
Competitive Landscape:
The competitive landscape analysis provides detailed strategic analysis of the company’s business and performance such as financial information, revenue breakup by segment and by geography, SWOT Analysis, key facts, company overview, business strategy, key product offerings, marketing and distribution strategies, new product development, recent news (acquisition, expansion, technology development, research & development and other market activities). The study also provides company’s positioning and market share in Self-driving Car market.
Competitive Landscape:
(Microsoft, Apple, IBM, Cisco) and automobile industry players (Google, Toyota, General Motors, Tesla, Volvo).
Browse Full Report With TOC@ https://www.kdmarketinsights.com/product/global-self-driving-car-market
Table of Content
Chapter 1: Executive summary
1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive Summary
Chapter 2: Global self-driving car market - market overview
2.1. Global market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD Bn)
2.2. Global market drivers and challenges
2.3. Value chain analysis of self-driving car market
2.4. Porter’s Five Forces Analysis
2.5. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
2.5. a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. Market segmentation on the basis of application (passenger use and commercial use)
2.6. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
2.7. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. Market segmentation on the basis of technology components (radar sensors, video cameras, lidar senors, ultrasound sensors, central computing systems, GPS navigation systems)
2.8. a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 3: North America self-driving car market - market overview
3.1. Market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
3.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market segmentation on the basis of application (passenger use and commercial use)
3.4. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5level 1, level 2, level 3, level 4 and level 5 automation)
3.5. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
3.6. a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 4: Europe self-driving car market - market overview
4.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
4.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market segmentation on the basis of application (passenger use and commercial use)
4.4. a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
4.5. a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Continue….
Check for Discount @ https://www.kdmarketinsights.com/discount/3196
About Us:
KD Market Insights offers a comprehensive database of syndicated research studies, customized reports, and consulting services. These reports are created to help in making smart, instant and crucial decisions based on extensive and in-depth quantitative information, supported by extensive analysis and industry insights.
Our dedicated in-house team ensures the reports satisfy the requirement of the client. We aim at providing value service to our clients. Our reports are backed by extensive industry coverage and is made sure to give importance to the specific needs of our clients. The main idea is to enable our clients to make an informed decision, by keeping them and ourselves up to date with the latest trends in the market.
Contact Us:
KD Market Insights
150 State Street, Albany,
New York, USA 12207
+1 (518) 300-1215
Email: sales@kdmarketinsights.com
Website: www.kdmarketinsights.com
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