The global self-driving cars market size is expected to reach around US$ 65 million units by 2030 and is expected to grow at an impressive double-digit rate of 13.38% from 2022 to 2030. Development of self-driving modular systems enabling OEMs to handpick the technology is an important factor for the growth of the self-driving cars market.
The study includes drivers and restraints of this market. The study provides an analysis of the global self-driving cars market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.
Report Scope of the Self-Driving Cars Market
| Report Coverage | Details |
| Market Size by 2030 | USD 65 Million Units |
| CAGR from 2022 to 2030 | CAGR of 13.38% |
| North America Market Share in 2021 | 45% |
| Transportation Segment Market Share in 2021 | 93% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
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Research Methodology
A unique research methodology has been utilized to conduct comprehensive research on the growth of the global self-driving cars market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.
These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global self-driving cars market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.
Why should you invest in this report?
If you are aiming to enter the global self-driving cars market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for self-driving cars are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Some of the prominent players in the global self-driving cars market include:
- Autoliv Inc. (Stockholm, Sweden)
- Aptiv (Dublin, Ireland)
- Daimler AG (Stuttgart, Germany)
- Baidu (Beijing, China)
- AutoX, Inc. (California, United States)
- HYUNDAI MOTOR GROUP (Seoul, South Korea)
- Volvo (Gothenburg, Sweden)
- Pony.ai (Fremont, California, United States)
- Ford Motor Company (Michigan, United States)
- Waymo LLC (California, United States)
- Robert Bosch GmbH (Gerlingen, Germany)
Market Segmentation:
By Type
- Fully Autonomous
- Semi- Autonomous
By Vehicle Type
- Passenger Cars
- Commercial Vehicles
By Application
- Transportation
- Defense
By System
- Adaptive Cruise Control (ACC)
- Adaptive Front Light (AFL)
- Automatic Emergency Braking (AEB)
- Blind Spot Detection (BSD)
- Cross Traffic Alert (CTA)
- Driver Monitoring System (DMS)
- Forward Collision Warning (FCW)
- Intelligent Park Assist (IPA)
- Lane Departure Warning (LDW)
- Night Vision System (NVS)
- Pedestrian Detection System (PDS)
- Road Sign Recognition (RSR)
- Tire Pressure Monitoring System (TPMS)
- Traffic Jam Assist (TJA)
By Electric Vehicle
- Battery Electric Vehicles (BEV)
- Hybrid Electric Vehicles (HEV)
- Plug-in Hybrid Electric Vehicle (PHEV)
- Fuel Cell Electric Vehicle (FCEV)
By Component
- Camera Unit
- LiDAR
- Radar Sensor
- Ultrasonic Sensor
- Infrared Sensor
By Level of Autonomy
- L1
- L2
- L3
- L4
- L5
Regional Analysis:
The geographical analysis of the global self-driving cars market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.
The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global self-driving cars Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).
Key Questions Answered by the Report:
- What will be the size of the global self-driving cars market in 2030?
- What is the expected CAGR for the self-driving cars market between 2021 and 2030?
- Which are the top players active in this global market?
- What are the key drivers of this global market?
- How will the market situation change in the coming years?
- Which region held the highest market share in this global market?
- What are the common business tactics adopted by players?
- What is the growth outlook of the global self-driving cars market?
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Self-Driving Cars Market, By Type
7.1. Self-Driving Cars Market, by Type, 2022-2030
7.1.1. Fully Autonomous
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Semi- Autonomous
7.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Self-Driving Cars Market, By Vehicle Type
8.1. Self-Driving Cars Market, by Vehicle Type, 2022-2030
8.1.1. Passenger Cars
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Commercial Vehicles
8.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Self-Driving Cars Market, By Application
9.1. Self-Driving Cars Market, by Application, 2022-2030
9.1.1. Transportation
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Defense
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Self-Driving Cars Market, By System
10.1. Self-Driving Cars Market, by System, 2022-2030
10.1.1. Adaptive Cruise Control (ACC)
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Adaptive Front Light (AFL)
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Automatic Emergency Braking (AEB)
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Blind Spot Detection (BSD)
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Cross Traffic Alert (CTA)
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Driver Monitoring System (DMS)
10.1.6.1. Market Revenue and Forecast (2017-2030)
10.1.7. Forward Collision Warning (FCW)
10.1.7.1. Market Revenue and Forecast (2017-2030)
10.1.8. Intelligent Park Assist (IPA)
10.1.8.1. Market Revenue and Forecast (2017-2030)
10.1.9. Lane Departure Warning (LDW)
10.1.9.1. Market Revenue and Forecast (2017-2030)
10.1.10. Night Vision System (NVS)
10.1.10.1. Market Revenue and Forecast (2017-2030)
10.1.11. Pedestrian Detection System (PDS)
10.1.11.1. Market Revenue and Forecast (2017-2030)
10.1.12. Road Sign Recognition (RSR)
10.1.12.1. Market Revenue and Forecast (2017-2030)
10.1.13. Tire Pressure Monitoring System (TPMS)
10.1.13.1. Market Revenue and Forecast (2017-2030)
10.1.14. Traffic Jam Assist (TJA)
10.1.14.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Self-Driving Cars Market, By Electric Vehicle
11.1. Self-Driving Cars Market, by Electric Vehicle, 2022-2030
11.1.1. Battery Electric Vehicles (BEV)
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Hybrid Electric Vehicles (HEV)
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Plug-in Hybrid Electric Vehicle (PHEV)
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. Fuel Cell Electric Vehicle (FCEV)
11.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Self-Driving Cars Market, By Component
12.1. Self-Driving Cars Market, by Component, 2022-2030
12.1.1. Camera Unit
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. LiDAR
12.1.2.1. Market Revenue and Forecast (2017-2030)
12.1.3. Radar Sensor
12.1.3.1. Market Revenue and Forecast (2017-2030)
12.1.4. Ultrasonic Sensor
12.1.4.1. Market Revenue and Forecast (2017-2030)
12.1.5. Infrared Sensor
12.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Self-Driving Cars Market, By Level of Autonomy
13.1. Self-Driving Cars Market, by Level of Autonomy, 2022-2030
13.1.1. L1
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. L2
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. L3
13.1.3.1. Market Revenue and Forecast (2017-2030)
13.1.4. L4
13.1.4.1. Market Revenue and Forecast (2017-2030)
13.1.5. L5
13.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Self-Driving Cars Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.1.3. Market Revenue and Forecast, by Application (2017-2030)
14.1.4. Market Revenue and Forecast, by System (2017-2030)
14.1.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.1.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.1.7. Market Revenue and Forecast, by Component (2017-2030)
14.1.8. U.S.
14.1.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.8.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.1.8.3. Market Revenue and Forecast, by Application (2017-2030)
14.1.8.4. Market Revenue and Forecast, by System (2017-2030)
14.1.8.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.1.8.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.1.8.7. Market Revenue and Forecast, by Component (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Application (2017-2030)
14.1.9.4. Market Revenue and Forecast, by System (2017-2030)
14.1.9.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.1.9.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.1.9.7. Market Revenue and Forecast, by Component (2017-2030)
14.2. Europe
14.2.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.2.3. Market Revenue and Forecast, by Application (2017-2030)
14.2.4. Market Revenue and Forecast, by System (2017-2030)
14.2.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.2.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.2.7. Market Revenue and Forecast, by Component (2017-2030)
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Application (2017-2030)
14.2.8.4. Market Revenue and Forecast, by System (2017-2030)
14.2.8.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.2.8.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.2.8.7. Market Revenue and Forecast, by Component (2017-2030)
14.2.9. Germany
14.2.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.9.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.2.9.3. Market Revenue and Forecast, by Application (2017-2030)
14.2.9.4. Market Revenue and Forecast, by System (2017-2030)
14.2.9.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.2.9.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.2.9.7. Market Revenue and Forecast, by Component (2017-2030)
14.2.10. France
14.2.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.10.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.2.10.3. Market Revenue and Forecast, by Application (2017-2030)
14.2.10.4. Market Revenue and Forecast, by System (2017-2030)
14.2.10.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.2.10.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.2.10.7. Market Revenue and Forecast, by Component (2017-2030)
14.2.11. Rest of Europe
14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Application (2017-2030)
14.2.11.4. Market Revenue and Forecast, by System (2017-2030)
14.2.11.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.2.11.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.2.11.7. Market Revenue and Forecast, by Component (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.3.3. Market Revenue and Forecast, by Application (2017-2030)
14.3.4. Market Revenue and Forecast, by System (2017-2030)
14.3.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.3.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.3.7. Market Revenue and Forecast, by Component (2017-2030)
14.3.8. India
14.3.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.8.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.3.8.3. Market Revenue and Forecast, by Application (2017-2030)
14.3.8.4. Market Revenue and Forecast, by System (2017-2030)
14.3.8.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.3.8.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.3.8.7. Market Revenue and Forecast, by Component (2017-2030)
14.3.9. China
14.3.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.9.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.3.9.3. Market Revenue and Forecast, by Application (2017-2030)
14.3.9.4. Market Revenue and Forecast, by System (2017-2030)
14.3.9.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.3.9.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.3.9.7. Market Revenue and Forecast, by Component (2017-2030)
14.3.10. Japan
14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Application (2017-2030)
14.3.10.4. Market Revenue and Forecast, by System (2017-2030)
14.3.10.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.3.10.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.3.10.7. Market Revenue and Forecast, by Component (2017-2030)
14.3.11. Rest of APAC
14.3.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.11.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.3.11.3. Market Revenue and Forecast, by Application (2017-2030)
14.3.11.4. Market Revenue and Forecast, by System (2017-2030)
14.3.11.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.3.11.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.3.11.7. Market Revenue and Forecast, by Component (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.4.3. Market Revenue and Forecast, by Application (2017-2030)
14.4.4. Market Revenue and Forecast, by System (2017-2030)
14.4.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.4.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.4.7. Market Revenue and Forecast, by Component (2017-2030)
14.4.8. GCC
14.4.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.8.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.4.8.3. Market Revenue and Forecast, by Application (2017-2030)
14.4.8.4. Market Revenue and Forecast, by System (2017-2030)
14.4.8.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.4.8.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.4.8.7. Market Revenue and Forecast, by Component (2017-2030)
14.4.9. North Africa
14.4.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.9.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.4.9.3. Market Revenue and Forecast, by Application (2017-2030)
14.4.9.4. Market Revenue and Forecast, by System (2017-2030)
14.4.9.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.4.9.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.4.9.7. Market Revenue and Forecast, by Component (2017-2030)
14.4.10. South Africa
14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Application (2017-2030)
14.4.10.4. Market Revenue and Forecast, by System (2017-2030)
14.4.10.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.4.10.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.4.10.7. Market Revenue and Forecast, by Component (2017-2030)
14.4.11. Rest of MEA
14.4.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.11.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.4.11.3. Market Revenue and Forecast, by Application (2017-2030)
14.4.11.4. Market Revenue and Forecast, by System (2017-2030)
14.4.11.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.4.11.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.4.11.7. Market Revenue and Forecast, by Component (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.5.3. Market Revenue and Forecast, by Application (2017-2030)
14.5.4. Market Revenue and Forecast, by System (2017-2030)
14.5.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.5.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.5.7. Market Revenue and Forecast, by Component (2017-2030)
14.5.8. Brazil
14.5.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.8.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.5.8.3. Market Revenue and Forecast, by Application (2017-2030)
14.5.8.4. Market Revenue and Forecast, by System (2017-2030)
14.5.8.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.5.8.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.5.8.7. Market Revenue and Forecast, by Component (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Vehicle Type (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Application (2017-2030)
14.5.9.4. Market Revenue and Forecast, by System (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Electric Vehicle (2017-2030)
14.5.9.6. Market Revenue and Forecast, by Level of Autonomy (2017-2030)
14.5.9.7. Market Revenue and Forecast, by Component (2017-2030)
Chapter 15. Company Profiles
15.1. Autoliv Inc. (Stockholm, Sweden)
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Aptiv (Dublin, Ireland)
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Daimler AG (Stuttgart, Germany)
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Baidu (Beijing, China)
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. AutoX, Inc. (California, United States)
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. HYUNDAI MOTOR GROUP (Seoul, South Korea)
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Volvo (Gothenburg, Sweden)
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Pony.ai (Fremont, California, United States)
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Ford Motor Company (Michigan, United States)
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Waymo LLC (California, United States)
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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