Software Defined Vehicle Market Introduction and Overview
According to SPER Market Research, the Global Software Defined Vehicle Market is estimated to reach USD 252.36 billion by 2033 with a CAGR of 19.67%.
The report includes an in-depth analysis of the Global Software Defined Vehicle Market, including market size and trends, product mix, applications, and supplier analysis. Software is used in powertrain and chassis applications to maximize the vehicle's mechanical systems and energy efficiency. In order to maximize efficiency and recover energy through regenerative braking, this may entail controlling the power distribution in hybrid and electric vehicles. The adoption of electrification and hybridization is propelled by powertrain applications. Software controls how electric motors are integrated with conventional internal combustion engines in electric powertrains and hybrid systems, maximizing energy efficiency.
- Sep-2023: In order to offer a range of modular cloud services, including computing, data storage, data analytics, and machine learning, Continental AG partnered with Google Cloud. Through this collaboration, Google's data and artificial intelligence (AI) capabilities will be leveraged to augment Continental's automotive technology expertise, with the goal of creating a cutting-edge range of automotive solutions that prioritize efficiency, safety, and user-centric features, in addition to a suite of management tools.
- Aug-2023: Aptiva PLC partnered with Horizon Robotics, a Chinese manufacturer of motor vehicles. Aptiva PLC hopes to use this relationship to use its unique knowledge to improve the Chinese automobile sector and provide drivers and passengers with a safer, more convenient, and enjoyable travel experience.
Market Opportunities and Challenges
The advancement of vision, decision-making, and control in autonomous cars is dependent on complex software systems. SDVs are a key building block for the development of autonomous driving. Path planning, object detection, and decision-making are all accomplished through the application of artificial intelligence and highly advanced machine learning algorithms. The market is growing as a result of the proliferation of autonomous driving technologies. Electric drivetrains rely heavily on software. The electric motor's performance is managed by software, which provides rapid torque for acceleration and seamless operation.
Complex software systems are essential to modern cars, particularly those that are fully automated or driverless. With so many software layers and components involved, managing and maintaining this complexity can be difficult. One major difficulty is ensuring the safety of complicated software systems. Because there are so many different technologies involved, it can be difficult to integrate different car systems smoothly and seamlessly, including entertainment, connection, autonomous driving, and engine management It can be taxing on the infrastructure to store, process, and analyse data efficiently. Significant obstacles that could impede the market's growth include complexity and compatibility problems.
Market Competitive Landscape
To stay competitive in the market, the industry's top competitors compete with a variety of cutting-edge products. To meet demand from diverse industries, the market's top players are implementing a range of methods. Partnerships, Collaborations, and Agreement are the three main developmental tactics used in the industry. The major players in the Global Software Defined Vehicle Market include: Aptiva PLC, BlackBerry Limited, Continental AG, Harman International Industries, Marelli Holdings Co., Ltd, Medtronic PLC, NVIDIA Corporation, Robert Bosch GmbH, Tesla, Volkswagen AG.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2019-2033 |
| Base year considered | 2022 |
| Forecast period | 2023-2033 |
| Segments covered | By Offering, By Vehicle Type, By Vehicle Autonomy
|
| Regions covered | North America, Asia-Pacific, Latin America, Middle East & Africa and Europe
|
| Companies Covered | Aptiva PLC, BlackBerry Limited, Continental AG, Harman International Industries, Marelli Holdings Co., Ltd, Medtronic PLC, NVIDIA Corporation, Robert Bosch GmbH, Tesla, Volkswagen AG.
|
COVID-19 Impact on Global Software Defined Vehicle Market
A number of industries were significantly impacted by the COVID-19 pandemic, including the automotive sector, which includes the market for software-defined cars. The epidemic has caused consumer spending to plummet and economic uncertainty to contribute to a decline in the market for new cars. The decrease in demand has led to manufacturers reducing their manufacturing, which has impacted the sales of software-defined vehicles. On the other hand, the pandemic also hastened the acceptance of internet shopping and remote work, which raised the need for delivery trucks and benefited the software-defined commercial vehicle sector.
Key Target Audience:
- Customization enthusiasts
- Gamers & Experience seekers
- Government & Regulators
- Security & Privacy Conscious Individuals
- Vehicle & Tech Companies
Our in-depth analysis of the Software Defined Vehicle Market includes the following segments:
|
By Offering:
|
Hardware
Services
Software
|
|
By Vehicle Type:
|
BEV
HEV/PHEV
ICE
|
|
By Vehicle Autonomy:
|
Level 0
Level 1
Level 2
Level 3
Level 4
Level 5
|
Key Topics Covered in the Report:
- Global Software Defined Vehicle Market Size (FY’2023-FY’2033)
- Overview of Global Software Defined Vehicle Market
- Segmentation of Global Software Defined Vehicle Market By Offering (Hardware, Software, Services)
- Segmentation of Global Software Defined Vehicle Market By Vehicle Type (ICE, BEV, HEV/PHEV)
- Segmentation of Global Software Defined Vehicle Market By Vehicle Autonomy (Level 0, Level 1, Level 2, Level 3, Level 4, Level 5)
- Statistical Snap of Global Software Defined Vehicle Market
- Expansion Analysis of Global Software Defined Vehicle Market
- Problems and Obstacles in Global Software Defined Vehicle Market
- Competitive Landscape in the Global Software Defined Vehicle Market
- Impact of COVID-19 and Demonetization on Global Software Defined Vehicle Market
- Details on Current Investment in Global Software Defined Vehicle Market
- Competitive Analysis of Global Software Defined Vehicle Market
- Prominent Players in the Global Software Defined Vehicle Market
- SWOT Analysis of Global Software Defined Vehicle Market
- Global Software Defined Vehicle Market Outlook and Projections (FY’2023-FY’2033)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPER’s internal database
2.1.4. Premium insight from KOL’s
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
4.2. COVID-19 Impacts of the Global Software Defined Vehicle Market
5. Market variable and outlook
5.1. SWOT Analysis5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTER’s Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global Software Defined Vehicle Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Software Defined Vehicle Market
7. Global Software Defined Vehicle Market, By Offering (USD Million)
7.1. Global Software Defined Vehicle Market Value Share and Forecast, By Offering 2023-2033
7.2. Hardware
7.3. Services
7.4. Software
8. Global Software Defined Vehicle Market, By Vehicle Type (USD Million)
8.1. Global Software Defined Vehicle Market Value Share and Forecast, By Vehicle Type 2023-2033
8.2. BEV
8.3. HEV/PHEV
8.4. ICE
9. Global Software Defined Vehicle Market, By Vehicle Autonomy (USD Million)
9.1. Global Software Defined Vehicle Market Size Value Share and Forecast, By Vehicle Autonomy 2023-2033
9.2. Level 0
9.3. Level 1
9.4. Level 2
9.5. Level 3
9.6. Level 4
9.7. Level 5
10. Global Software Defined Vehicle Market, Forecast, 2019-2033 (USD Million)
10.1. Global Software Defined Vehicle Market Size and Market Share
11. Global Software Defined Vehicle Market, By Offering 2019-2033 (USD Million)
11.1. Global Software Defined Vehicle Market Size and Market Share, By Offering (2019-2026)
11.2. Global Software Defined Vehicle Market Size and Market Share, By Offering (2027-2033)
12. Global Software Defined Vehicle Market, By Vehicle Type 2019-2033 (USD Million)
12.1. Global Software Defined Vehicle Market Size and Market Share, By Vehicle Type (2019-2026)
12.2. Global Software Defined Vehicle Market Size and Market Share, By Vehicle Type (2027-2033)
13. Global Software Defined Vehicle Market, By Vehicle Autonomy, 2019-2033 (USD Million)
13.1. Global Software Defined Vehicle Market Size and Market Share, By Vehicle Autonomy (2019-2026)
13.2. Global Software Defined Vehicle Market Size and Market Share, By Vehicle Autonomy (2027-2033)
14. Global Software Defined Vehicle Market, By Region, 2019-2033 (USD Million)
14.1. Global Software Defined Vehicle Market Size and Market Share, By Region (2019-2026)
14.2. Global Software Defined Vehicle Market Size and Market Share, By Region (2027-2033)
14.3. Asia-Pacific
14.3.1. Australia
14.3.2. China
14.3.3. India
14.3.4. Japan
14.3.5. South Korea
14.3.6. Rest of Asia-Pacific
14.4. Europe
14.4.1. France
14.4.2. Germany
14.4.3. Italy
14.4.4. Spain
14.4.5. United Kingdom
14.4.6. Rest of Europe
14.5. Middle East and Africa
14.5.1. Kingdom of Saudi Arabia
14.5.2. United Arab Emirates
14.5.3. Rest of Middle East & Africa
14.6. North America
14.6.1. Canada
14.6.2. Mexico
14.6.3. United States
14.7. Latin America
14.7.1. Argentina
14.7.2. Brazil
14.7.3. Rest of Latin America
15. Company Profile
15.1. Aptiva PLC15.1.1. Company details
15.1.2. Financial outlook
15.1.3. Product summary
15.1.4. Recent developments
15.2. BlackBerry Limited15.2.1. Company details
15.2.2. Financial outlook
15.2.3. Product summary
15.2.4. Recent developments
15.3. Continental AG15.3.1. Company details
15.3.2. Financial outlook
15.3.3. Product summary
15.3.4. Recent developments
15.4. Harman International Industries15.4.1. Company details
15.4.2. Financial outlook
15.4.3. Product summary
15.4.4. Recent developments
15.5. Marelli Holdings Co., Ltd
15.5.1. Company details
15.5.2. Financial outlook
15.5.3. Product summary
15.5.4. Recent developments
15.6. Medtronic PLC
15.6.1. Company details
15.6.2. Financial outlook
15.6.3. Product summary
15.6.4. Recent developments
15.7. NVIDIA Corporation
15.7.1. Company details
15.7.2. Financial outlook
15.7.3. Product summary
15.7.4. Recent developments
15.8. Robert Bosch GmbH
15.8.1. Company details
15.8.2. Financial outlook
15.8.3. Product summary
15.8.4. Recent developments
15.9. Tesla
15.9.1. Company details
15.9.2. Financial outlook
15.9.3. Product summary
15.9.4. Recent developments
15.10. Volkswagen AG
15.10.1. Company details
15.10.2. Financial outlook
15.10.3. Product summary
15.10.4. Recent developments
15.11. Others
16. List of Abbreviations
17. Reference Links
18. Conclusion
19. Research Scope
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
