logo image
search icon
Software Defined Vehicle Market

Software Defined Vehicle Market, Share & Trends Analysis Report, By SDV Type (Semi-SDV. SDV), E/E Architecture (Distributed, Domain Centralised, Zonal Control), Vehicle Type (Passenger Car and Light Commercial Vehicle), By Region, and Segment Forecasts, 2024-2031

Report ID : 2671 | Published : 2024-08-13 | Pages: 170 | Format: PDF/EXCEL

The Software Defined Vehicle Market Size is valued at USD 171.1 Bn in 2023 and is predicted to reach USD 1,407.7 Bn by the year 2031 at an 30.4% CAGR during the forecast period for 2024-2031.

software defined vehicle

The automobile industry is beginning to follow a developmental path similar to that of the computer and smartphone industries due to the increased standardization of hardware and technology. The automobile industry is undergoing a transformation led by Software Defined Vehicles (SDVs). Previously, the industry relied on discrete hardware for various applications. SDVs separate network tasks from proprietary hardware appliances by managing functionality and features mostly through software. This change enables the growth of automobiles both physically and digitally, with software being a key differentiator. The development and maintenance of automobiles have undergone a substantial evolution with the commercialization of software, which also optimizes the vehicle's lifecycle and value cycle.

For instance, In Sept 2023, The Automotive in the Software-Driven Era initiative was started by the World Economic Forum and BCG to get ready for the rise of software-defined vehicles. The objective of this effort is to enhance safety, inclusivity, sustainability, and overall system resilience in the automobile industry by leveraging the possibilities of cross-industry and public-private collaboration. Over thirty of the top businesses in the tech, automotive, and new mobility sectors have joined the campaign thus far.

Competitive Landscape

Some of the Major Key Players in the Software Defined Vehicle Market are

  • Tesla
  • Li Auto Inc.
  • NIO
  • Rivian
  • XPENG Inc.
  • ZEEKR
  • Aptiv PLC
  • Continental
  • Mobileye
  • NVIDIA Corporation
  • Robert Bosch GmbH
  • Waymo LLC
  • Volkswagen Ag
  • Hyundai Motor Corporation
  • Ford Motor Company
  • Renault Group
  • Toyota Motor Corporation
  • Stellantis
  • Mercedes-Benz Ag
  • BYD
  • BMW
  • Cubic Telecom
  • Sibros
  • Megatronix
  • Sonatus
  • TTTech Auto
  • Veecle
  • Zeliot
  • Applies Intuition
  • Other Prominent PLayers

Market Segmentation:

The Software Defined Vehicle Market is segmented based on the by SDV type, E/ E architecture, and vehicle type. Based on the SDV type, the market is segmented into semi-SDV, and SDV. Based on the E/E Architecture, the market is segmented into distributed, domain centralised, and zonal control. Based on the vehicle type, passenger car, and light commercial vehicle.

The SDV Segment is Expected to Have the Highest Growth Rate During The Forecast Period

Based on the SDV type, the market is segmented into semi-SDV, and SDV. Based on the E/E architecture. Among these, the SDV segment is expected to have the highest growth rate during the forecast period. SDVs utilize software to control and manage a wide range of vehicle functions, including driving dynamics, infotainment systems, and advanced driver-assistance systems (ADAS). SDVs support advanced functionalities such as autonomous driving capabilities, improved connectivity, and sophisticated driver assistance systems. These features are highly sought after in the market and drive the demand for SDVs.

The Zonal Control Segment Dominate the Market

Based on the E/E Architecture, the market is segmented into distributed, domain centralised, zonal control. Among these, the zonal control segment dominates the market. Zonal control reduces complexity by centralizing management in fewer units, leading to more efficient data processing and reduced wiring. It supports the scalability required for advanced features and functionalities in Full SDVs, including those related to autonomous driving and advanced connectivity. The efficiency, scalability, and cost benefits of Zonal Control contribute to its dominance in the SDV market.

Asia Pacific Have the Largest Market Share During Forecast Period

Asia Pacific is a hub for technological innovation and development. The region has a strong presence of tech companies specializing in automotive software and electronics, contributing to the growth of SDVs. The region has well-established manufacturing capabilities and a robust supply chain, enabling the efficient production and integration of SDV technologies. The rising demand for advanced vehicle features, such as connectivity, automation, and enhanced safety, is driving the adoption of SDVs. Consumers in Asia Pacific are increasingly seeking innovative automotive technologies.

Recent Developments:

  • In Jun 2024, Volkswagen Group and Rivian Automotive, announced plans to create a joint venture (JV) with equal ownership and control to develop cutting-edge software technologies and next-generation electrical architecture. Through greater scale and faster innovation, the cooperation is expected to accelerate software development for Rivian and Volkswagen, enabling both businesses to reduce the cost per vehicle.
  • In May 2023, Renault Group and Valeo announced a collaboration to create the electrical and electronic architecture for the Group's upcoming automobiles. The software-defined vehicle (SDV) architecture allows vehicles to integrate new functions without requiring hardware upgrades throughout their life cycle.

Software Defined Vehicle Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 171.1 Bn

Revenue Forecast In 2031

USD 1,407.7 Bn

Growth Rate CAGR

CAGR of 30.4% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By SDV type, E/ E Architecture, Vehicle type

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia

Competitive Landscape

Tesla, Li Auto Inc., NIO, Rivian, XPENG Inc., ZEEKR

Aptiv PLC, Continental, Mobileye, Nvidia Corporation, Robert Bosch Gmbh, Waymo Llc, Volkswagen Ag, Hyundai Motor Corporation, Ford Motor Company, Renault Group, Toyota Motor Corporation, Stellantis, Mercedes-Benz Ag, Byd, BMW, Cubic Telecom, Sibros, Megatronix, Sonatus, TTTech Auto, Veecle, Zeliot, Applies Intuition

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing and Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Software Defined Vehicle Market Snapshot

Chapter 4. Global Software Defined Vehicle Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by SDV Type Estimates & Trend Analysis
5.1. by SDV Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by SDV Type:

5.2.1. Semi-SDV
5.2.2. SDV

Chapter 6. Market Segmentation 2: by E/E Architecture Estimates & Trend Analysis
6.1. by E/E Architecture & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by E/E Architecture:

6.2.1. Distributed Architecture
6.2.2. Domain Centralised Architecture
6.2.3. Zonal Control Architecture

Chapter 7. Market Segmentation 3: by Vehicle Type Estimates & Trend Analysis
7.1. by Vehicle Type & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Vehicle Type:

7.2.1. Passenger Car
7.2.2. Light Commercial Vehicle

Chapter 8. Software Defined Vehicle Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America
8.1.1. North America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by SDV Type, 2024-2031
8.1.2. North America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by E/E Architecture, 2024-2031
8.1.3. North America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
8.1.4. North America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.2. Europe
8.2.1. Europe Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by SDV Type, 2024-2031
8.2.2. Europe Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by E/E Architecture, 2024-2031
8.2.3. Europe Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
8.2.4. Europe Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.3. Asia Pacific
8.3.1. Asia Pacific Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by SDV Type, 2024-2031
8.3.2. Asia Pacific Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by E/E Architecture, 2024-2031
8.3.3. Asia-Pacific Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
8.3.4. Asia Pacific Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.4. Latin America
8.4.1. Latin America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by SDV Type, 2024-2031
8.4.2. Latin America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by E/E Architecture, 2024-2031
8.4.3. Latin America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
8.4.4. Latin America Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.5. Middle East & Africa
8.5.1. Middle East & Africa Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by SDV Type, 2024-2031
8.5.2. Middle East & Africa Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by E/E Architecture, 2024-2031
8.5.3. Middle East & Africa Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
8.5.4. Middle East & Africa Software Defined Vehicle Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles

9.2.1. Tesla
9.2.2. Li Auto Inc.
9.2.3. NIO
9.2.4. Rivian
9.2.5. XPENG Inc.
9.2.6. ZEEKR
9.2.7. Aptiv PLC
9.2.8. Continental
9.2.9. Mobileye
9.2.10. NVIDIA Corporation
9.2.11. Robert Bosch GmbH
9.2.12. Waymo LLC
9.2.13. VOLKSWAGEN AG
9.2.14. HYUNDAI MOTOR CORPORATION
9.2.15. FORD MOTOR COMPANY
9.2.16. RENAULT GROUP
9.2.17. TOYOTA MOTOR CORPORATION
9.2.18. STELLANTIS
9.2.19. MERCEDES-BENZ AG
9.2.20. BYD
9.2.21. BMW
9.2.22. Cubic Telecom
9.2.23. Sibros
9.2.24. Megatronix
9.2.25. Sonatus
9.2.26. TTTech Auto
9.2.27. Veecle
9.2.28. Zeliot
9.2.29. Applies Intuition
9.2.30. Other Prominent PLayers

Segmentation of Software Defined Vehicle Market

Global Software Defined Vehicle Market - By SDV Type

  • Semi-SDV
  • SDV

Software Defined Vehicle

Global Software Defined Vehicle Market – By E/E Architecture

  • Distributed Architecture
  • Domain Centralised Architecture
  • Zonal Control Architecture

Global Software Defined Vehicle Market – By Vehicle Type

  • Passenger Car
  • Light Commercial Vehicle

Global Software Defined Vehicle Market – By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

user icon
office icon
mail icon
call icon

This website is secure, and we do not share your personal information with any third party. Privacy Policy

Need Customization
Need specific information/chapter from the report of the custom data table, graph or complete report? Tell us more.

Frequently Asked Questions

How big is the Software Defined Vehicle Market Size?

The Software Defined Vehicle Market is expected to grow at an 30.4% CAGR during the forecast period for 2024-2031.

Tesla, Li Auto Inc., NIO, Rivian, XPENG Inc., ZEEKR Aptiv PLC, Continental, Mobileye, Nvidia Corporation, Robert Bosch Gmbh, Waymo Llc, Volkswagen A

Our Clients

  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo

Media Citations

  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo

Growth opportunities and latent adjacency in Automotive and Transportation

Select Licence Type
$4456
$7786
$10000
$1200
Get Your GTM Strategy

Navigate market entry with channel selection, launch strategy & timeline, and pricing model support.

Equip yourself with the insights needed to develop a winning go-to-market strategy

Get real-time updates and joint control over project direction with our collaborative approach