Computer on Wheels Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Computer on Wheels Market
The computer on wheels market size was valued at USD 1.20 billion in 2021, and the market is now projected to grow from USD 1.75 billion in 2022 to USD 108.96 billion by 2029, exhibiting a CAGR of 80.4% during the forecast period of 2022-2029.
The computer on wheels market growth stalled due to the COVID-19 pandemic and the scarcity of semiconductor chips affected the introduction of new self-driving cars. However, it also redirected consumer attention to the possibilities of sustainable urban transport and contactless deliveries. This led OEMs and investors to seek to invest in the expanded demand for autonomous cars in the post-pandemic world. Companies focused on reducing expenses and enhancing the concept of self-driving cars. In conclusion, the pandemic played a significant role in boosting the connected autonomous vehicles market.
Connected vehicle technology drives market proliferation by enhancing user experiences through features such as vehicle-to-everything communication and GPS. This shift improves interactions and satisfaction while increasing the computer on wheels market share. Governments are investing in smart road infrastructure to support these advancements. Manufacturers are developing advanced vehicles that have incorporated systems to support driver betterment. Lastly, it is important to note that these innovations define future trends for Connected Autonomous Vehicle (CAV) technologies.
Further, the increasing consumer interest in more intelligent and safer driving systems is a major factor that continues to fuel the overall market growth, particularly, concerning energy-efficient vehicles and solutions for the next generations. Technological advancement is now being initiated by the virtual use of electric and, to some extent, autonomous vehicles, forcing OEMs to investigate further into fuel-cell and battery solutions. The growing demand for connectivity and infotainment services contributes to the development of connected autonomous vehicles. Paradigm Integration introduces the Internet of Things (IoT), which increases the performance of vehicles by using sensors to capture actual data to improve safety and maintenance. Finally, IoT and Artificial Intelligence (AI) are leading to a great extent in terms of trends in the automotive sector.
Comprehensive Analysis of Computer on Wheels Market
The computer on wheels market and automotives industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessments considering the dominant supply and demand forces that impact the automotives industry. These segmentations are methodically segregated by components and by vehicles. The component includes, Hardware and Software. The vehicle includes, Light Duty Vehicle, Heavy Duty Vehicle, and Robotaxi.
The Asia Pacific contributed the largest share of the connected and autonomous vehicle market in 2021 supported by technological progress. Major players are focused on developing robotaxis, enhancing the market's growth potential. In 2022, Auto X announced reaching a milestone of 1,000 robotaxis in China, highlighting rapid fleet expansion. This development showcases the region's commitment to integrating advanced solutions in upcoming vehicle models. Overall, the focus on connected and autonomous technologies significantly augments market prospects in the Asia Pacific.
The top players in the market play a crucial role in the automotives industry assuring industrial prospectus growth and setting market standards. These players include, Tesla Inc. (U.S.), Volvo (Germany), Honda (Japan), BMW (Germany), Aptiv (China), Volkswagen AG (Germany), Mercedes Benz AG (Germany), Lyft, Inc. (U.S.), Didi Chuxing Technology Co. (China) and Baidu (China). These market players provide a level-playing competitive landscape.
In October 2022, AWS and BMW started a new partnership to create BMW’s Cloud-based Data Platform. This platform will initially be confined to BMW and then expanded to other automobile producers. This will facilitate a more straightforward approach to tying together vehicle data feed and fleet management applications, among other things.
Segmentation Table
Global Computer on Wheels Market Scope
Study Period
2018-2029
Base Year
2021
Forecast Period
2022-2029
Growth Rate
CAGR of 80.4% from 2022 to 2029
Historical Period
2018-2020
Unit
Value (USD Billion)
Segmentation
By Component, Vehicle, and Region
By Component
Hardware
Software
By Vehicle
Light Duty Vehicle
Heavy Duty Vehicle
Robotaxi
By Region
North America (By Component and Vehicle)
- U.S.
- Canada
- U.K.
- Germany
- France
- Rest of Europe
- China
- Japan
- South Korea
- Rest of Asia Pacific
- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
- 3.4. Market Trends
- 4. Key Insights
- 4.1. Key Industry Developments – Mergers, Acquisitions and Partnerships
- 4.2. Latest technological Advancements
- 4.3. Porters Five Forces Analysis
- 4.4. PEST Analysis
- 4.5. Impact of COVID-19 on Computer on Wheels
- 4.6. Case Studies
- 5. Global Computer on Wheels Analysis, Insights and Forecast, 2018-2029
- 5.1. Key Findings / Definitions
- 5.2. Market Analysis, Insights and Forecast – By Component
- 5.2.1. Hardware
- 5.2.2. Software
- 5.3. Market Analysis, Insights and Forecast – By Vehicle
- 5.3.1. Light Duty Vehicles
- 5.3.2. Heavy Duty Vehicles
- 5.3.3. Robotaxi
- 5.4. Market Analysis, Insights and Forecast – By Region
- 5.4.1. North America
- 5.4.2. Europe
- 5.4.3. Asia-Pacific
- 5.4.4. Rest of the world
- 6. North America Computer on Wheels Analysis, Insights and Forecast, 2018-2029
- 6.1. Market Analysis, Insights and Forecast – By Component
- 6.1.1. Hardware
- 6.1.2. Software
- 6.2. Market Analysis, Insights and Forecast – By Vehicle
- 6.2.1. Light Duty Vehicles
- 6.2.2. Heavy Duty Vehicles
- 6.2.3. Robotaxi
- 6.3. Market Analysis, Insights and Forecast – By Country
- 6.3.1. U.S.
- 6.3.1.1. Market Analysis, Insights and Forecast – By Vehicle
- 6.3.1.1.1. Light Duty Vehicles
- 6.3.1.1.2. Heavy Duty Vehicles
- 6.3.1.1.3. Robotaxi
- 6.3.2. Canada
- 6.3.2.1. Market Analysis, Insights and Forecast – By Vehicle
- 6.3.2.1.1. Light Duty Vehicles
- 6.3.2.1.2. Heavy Duty Vehicles
- 6.3.2.1.3. Robotaxi
- 7. Europe Computer on Wheels Analysis, Insights and Forecast, 2018-2029
- 7.1. Market Analysis, Insights and Forecast – By Component
- 7.1.1. Hardware
- 7.1.2. Software
- 7.2. Market Analysis, Insights and Forecast – By Vehicle
- 7.2.1. Light Duty Vehicles
- 7.2.2. Heavy Duty Vehicles
- 7.2.3. Robotaxi
- 7.3. Market Analysis, Insights and Forecast – By Country
- 7.3.1. U.K.
- 7.3.1.1. Market Analysis, Insights and Forecast – By Vehicle
- 7.3.1.1.1. Light Duty Vehicles
- 7.3.1.1.2. Heavy Duty Vehicles
- 7.3.1.1.3. Robotaxi
- 7.3.2. Germany
- 7.3.2.1. Market Analysis, Insights and Forecast – By Vehicle
- 7.3.2.1.1. Light Duty Vehicles
- 7.3.2.1.2. Heavy Duty Vehicles
- 7.3.2.1.3. Robotaxi
- 7.3.3. France
- 7.3.3.1. Market Analysis, Insights and Forecast – By Vehicle
- 7.3.3.1.1. Light Duty Vehicles
- 7.3.3.1.2. Heavy Duty Vehicles
- 7.3.3.1.3. Robotaxi
- 7.3.4. Rest of the Europe
- 7.3.4.1. Market Analysis, Insights and Forecast – By Vehicle
- 7.3.4.1.1. Light Duty Vehicles
- 7.3.4.1.2. Heavy Duty Vehicles
- 7.3.4.1.3. Robotaxi
- 8. Asia Pacific Computer on Wheels Analysis, Insights and Forecast, 2018-2029
- 8.1. Market Analysis, Insights and Forecast – By Component
- 8.1.1. Hardware
- 8.1.2. Software
- 8.2. Market Analysis, Insights and Forecast – By Vehicle
- 8.2.1. Light Duty Vehicles
- 8.2.2. Heavy Duty Vehicles
- 8.2.3. Robotaxi
- 8.3. Market Analysis, Insights and Forecast – By Country
- 8.3.1. China
- 8.3.1.1. Market Analysis, Insights and Forecast – By Vehicle
- 8.3.1.1.1. Light Duty Vehicles
- 8.3.1.1.2. Heavy Duty Vehicles
- 8.3.1.1.3. Robotaxi
- 8.3.2. Japan
- 8.3.2.1. Market Analysis, Insights and Forecast – By Vehicle
- 8.3.2.1.1. Light Duty Vehicles
- 8.3.2.1.2. Heavy Duty Vehicles
- 8.3.2.1.3. Robotaxi
- 8.3.3. South Korea
- 8.3.3.1. Market Analysis, Insights and Forecast – By Vehicle
- 8.3.3.1.1. Light Duty Vehicles
- 8.3.3.1.2. Heavy Duty Vehicles
- 8.3.3.1.3. Robotaxi
- 8.3.4. Rest of the Asia Pacific
- 8.3.4.1. Market Analysis, Insights and Forecast – By Vehicle
- 8.3.4.1.1. Light Duty Vehicles
- 8.3.4.1.2. Heavy Duty Vehicles
- 8.3.4.1.3. Robotaxi
- 9. Rest of The World Computer on Wheels Analysis, Insights and Forecast, 2018-2029
- 9.1. Market Analysis, Insights and Forecast – By Component
- 9.1.1. Hardware
- 9.1.2. Software
- 9.2. Market Analysis, Insights and Forecast – By Vehicle
- 9.2.1. Light Duty Vehicles
- 9.2.2. Heavy Duty Vehicles
- 9.2.3. Robotaxi
- 10. Competitive Analysis
- 10.1. Key Industry Developments
- 10.2. Global Market Ranking Analysis (2021)
- 10.3. Competition Dashboard
- 10.4. Comparative Analysis – Major Players
- 11. Company Profiles (Overview, Products & services, SWOT analysis, Recent developments, strategies, financials (based on availability)
- 11.1. Tesla Inc. (U.S.)
- 11.1.1. Overview,
- 11.1.2. Products & services,
- 11.1.3. SWOT analysis,
- 11.1.4. Recent developments,
- 11.1.5. strategies,
- 11.1.6. financials (based on availability)
- 11.2. Volvo (Sweden)
- 11.2.1. Overview,
- 11.2.2. Products & services,
- 11.2.3. SWOT analysis,
- 11.2.4. Recent developments,
- 11.2.5. strategies,
- 11.2.6. financials (based on availability)
- 11.3. Honda (Japan)
- 11.3.1. Overview,
- 11.3.2. Products & services,
- 11.3.3. SWOT analysis,
- 11.3.4. Recent developments,
- 11.3.5. strategies,
- 11.3.6. financials (based on availability)
- 11.4. BMW Group (Germany)
- 11.4.1. Overview,
- 11.4.2. Products & services,
- 11.4.3. SWOT analysis,
- 11.4.4. Recent developments,
- 11.4.5. strategies,
- 11.4.6. financials (based on availability)
- 11.5. Aptiv (Ireland)
- 11.5.1. Overview,
- 11.5.2. Products & services,
- 11.5.3. SWOT analysis,
- 11.5.4. Recent developments,
- 11.5.5. strategies,
- 11.5.6. financials (based on availability)
- 11.6. Volkswagen AG (Germany)
- 11.6.1. Overview,
- 11.6.2. Products & services,
- 11.6.3. SWOT analysis,
- 11.6.4. Recent developments,
- 11.6.5. strategies,
- 11.6.6. financials (based on availability)
- 11.7. Mercedes Benz AG (Germany)
- 11.7.1. Overview,
- 11.7.2. Products & services,
- 11.7.3. SWOT analysis,
- 11.7.4. Recent developments,
- 11.7.5. strategies,
- 11.7.6. financials (based on availability)
- 11.8. Lyft, Inc. (U.S.)
- 11.8.1. Overview,
- 11.8.2. Products & services,
- 11.8.3. SWOT analysis,
- 11.8.4. Recent developments,
- 11.8.5. strategies,
- 11.8.6. financials (based on availability)
- 11.9. Didi Chuxing Technology Co. (China)
- 11.9.1. Overview,
- 11.9.2. Products & services,
- 11.9.3. SWOT analysis,
- 11.9.4. Recent developments,
- 11.9.5. strategies,
- 11.9.6. financials (based on availability)
- 11.10. Baidu (China)
- 11.10.1. Overview,
- 11.10.2. Products & services,
- 11.10.3. SWOT analysis,
- 11.10.4. Recent developments,
- 11.10.5. strategies,
- 11.10.6. financials (based on availability)
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