
The Software-Defined Vehicles (SDV) refer to the use of software-defined networking (SDN) and software-defined architecture (SDA) technologies to enhance the functionality, safety, and efficiency of vehicles. This technology is becoming increasingly popular in the automotive industry as it allows vehicles to be more connected, customizable, and secure. It also allows for more efficient communication between the various systems within the car, such as the engine, braking, and safety systems. SDVs enable customers to receive firmware patches, enhancements to infotainment, tuning, and monitoring of key functional capabilities like vehicle and powertrain dynamics, and feature-on-demand comfort services via over-the-air (OTA) updates.
The global market for Software-Defined Vehicles was estimated to be worth US$ 35610 million in 2023 and is forecast to a readjusted size of US$ 102210 million by 2030 with a CAGR of 15.9% during the forecast period 2024-2030
North American market for Software-Defined Vehicles was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Software-Defined Vehicles was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Software-Defined Vehicles was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Software-Defined Vehicles include BMW Group, BYD Company Limited, Ford Motor Company, General Motors Company, Honda Motor Co., Ltd., Hyundai Motor Company, Mercedes Benz Group AG, Stellantis NV and Suzuki Motor Corporation, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Software-Defined Vehicles, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Software-Defined Vehicles by region & country, by Type, and by Application.
The Software-Defined Vehicles market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Software-Defined Vehicles.
Market Segmentation
By Company
BMW Group
BYD Company Limited
Ford Motor Company
General Motors Company
Honda Motor Co., Ltd.
Hyundai Motor Company
Mercedes Benz Group AG
Stellantis NV
Suzuki Motor Corporation
Tesla, Inc.
Toyota Motor Corporation
Volkswagen Ag
Segment by Type:
ICE Vehicles
Electric Vehicles
Segment by Application
ADAS & Safety
Connected Vehicle Services
Autonomous Driving
Body Control & Comfort System
Powertrain System
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Colombia
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Software-Defined Vehicles manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Software-Defined Vehicles in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Software-Defined Vehicles in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Software-Defined Vehicles Product Introduction
1.2 Global Software-Defined Vehicles Market Size Forecast
1.3 Software-Defined Vehicles Market Trends & Drivers
1.3.1 Software-Defined Vehicles Industry Trends
1.3.2 Software-Defined Vehicles Market Drivers & Opportunity
1.3.3 Software-Defined Vehicles Market Challenges
1.3.4 Software-Defined Vehicles Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Software-Defined Vehicles Players Revenue Ranking (2023)
2.2 Global Software-Defined Vehicles Revenue by Company (2019-2024)
2.3 Key Companies Software-Defined Vehicles Manufacturing Base Distribution and Headquarters
2.4 Key Companies Software-Defined Vehicles Product Offered
2.5 Key Companies Time to Begin Mass Production of Software-Defined Vehicles
2.6 Software-Defined Vehicles Market Competitive Analysis
2.6.1 Software-Defined Vehicles Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Software-Defined Vehicles Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Software-Defined Vehicles as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 ICE Vehicles
3.1.2 Electric Vehicles
3.2 Global Software-Defined Vehicles Sales Value by Type
3.2.1 Global Software-Defined Vehicles Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Software-Defined Vehicles Sales Value, by Type (2019-2030)
3.2.3 Global Software-Defined Vehicles Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 ADAS & Safety
4.1.2 Connected Vehicle Services
4.1.3 Autonomous Driving
4.1.4 Body Control & Comfort System
4.1.5 Powertrain System
4.1.6 Others
4.2 Global Software-Defined Vehicles Sales Value by Application
4.2.1 Global Software-Defined Vehicles Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Software-Defined Vehicles Sales Value, by Application (2019-2030)
4.2.3 Global Software-Defined Vehicles Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Software-Defined Vehicles Sales Value by Region
5.1.1 Global Software-Defined Vehicles Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Software-Defined Vehicles Sales Value by Region (2019-2024)
5.1.3 Global Software-Defined Vehicles Sales Value by Region (2025-2030)
5.1.4 Global Software-Defined Vehicles Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Software-Defined Vehicles Sales Value, 2019-2030
5.2.2 North America Software-Defined Vehicles Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Software-Defined Vehicles Sales Value, 2019-2030
5.3.2 Europe Software-Defined Vehicles Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Software-Defined Vehicles Sales Value, 2019-2030
5.4.2 Asia Pacific Software-Defined Vehicles Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Software-Defined Vehicles Sales Value, 2019-2030
5.5.2 South America Software-Defined Vehicles Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Software-Defined Vehicles Sales Value, 2019-2030
5.6.2 Middle East & Africa Software-Defined Vehicles Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Software-Defined Vehicles Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Software-Defined Vehicles Sales Value
6.3 United States
6.3.1 United States Software-Defined Vehicles Sales Value, 2019-2030
6.3.2 United States Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Software-Defined Vehicles Sales Value, 2019-2030
6.4.2 Europe Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Software-Defined Vehicles Sales Value, 2019-2030
6.5.2 China Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.5.3 China Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Software-Defined Vehicles Sales Value, 2019-2030
6.6.2 Japan Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Software-Defined Vehicles Sales Value, 2019-2030
6.7.2 South Korea Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Software-Defined Vehicles Sales Value, 2019-2030
6.8.2 Southeast Asia Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Software-Defined Vehicles Sales Value, 2019-2030
6.9.2 India Software-Defined Vehicles Sales Value by Type (%), 2023 VS 2030
6.9.3 India Software-Defined Vehicles Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 BMW Group
7.1.1 BMW Group Profile
7.1.2 BMW Group Main Business
7.1.3 BMW Group Software-Defined Vehicles Products, Services and Solutions
7.1.4 BMW Group Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.1.5 BMW Group Recent Developments
7.2 BYD Company Limited
7.2.1 BYD Company Limited Profile
7.2.2 BYD Company Limited Main Business
7.2.3 BYD Company Limited Software-Defined Vehicles Products, Services and Solutions
7.2.4 BYD Company Limited Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.2.5 BYD Company Limited Recent Developments
7.3 Ford Motor Company
7.3.1 Ford Motor Company Profile
7.3.2 Ford Motor Company Main Business
7.3.3 Ford Motor Company Software-Defined Vehicles Products, Services and Solutions
7.3.4 Ford Motor Company Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.3.5 General Motors Company Recent Developments
7.4 General Motors Company
7.4.1 General Motors Company Profile
7.4.2 General Motors Company Main Business
7.4.3 General Motors Company Software-Defined Vehicles Products, Services and Solutions
7.4.4 General Motors Company Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.4.5 General Motors Company Recent Developments
7.5 Honda Motor Co., Ltd.
7.5.1 Honda Motor Co., Ltd. Profile
7.5.2 Honda Motor Co., Ltd. Main Business
7.5.3 Honda Motor Co., Ltd. Software-Defined Vehicles Products, Services and Solutions
7.5.4 Honda Motor Co., Ltd. Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.5.5 Honda Motor Co., Ltd. Recent Developments
7.6 Hyundai Motor Company
7.6.1 Hyundai Motor Company Profile
7.6.2 Hyundai Motor Company Main Business
7.6.3 Hyundai Motor Company Software-Defined Vehicles Products, Services and Solutions
7.6.4 Hyundai Motor Company Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.6.5 Hyundai Motor Company Recent Developments
7.7 Mercedes Benz Group AG
7.7.1 Mercedes Benz Group AG Profile
7.7.2 Mercedes Benz Group AG Main Business
7.7.3 Mercedes Benz Group AG Software-Defined Vehicles Products, Services and Solutions
7.7.4 Mercedes Benz Group AG Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.7.5 Mercedes Benz Group AG Recent Developments
7.8 Stellantis NV
7.8.1 Stellantis NV Profile
7.8.2 Stellantis NV Main Business
7.8.3 Stellantis NV Software-Defined Vehicles Products, Services and Solutions
7.8.4 Stellantis NV Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.8.5 Stellantis NV Recent Developments
7.9 Suzuki Motor Corporation
7.9.1 Suzuki Motor Corporation Profile
7.9.2 Suzuki Motor Corporation Main Business
7.9.3 Suzuki Motor Corporation Software-Defined Vehicles Products, Services and Solutions
7.9.4 Suzuki Motor Corporation Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.9.5 Suzuki Motor Corporation Recent Developments
7.10 Tesla, Inc.
7.10.1 Tesla, Inc. Profile
7.10.2 Tesla, Inc. Main Business
7.10.3 Tesla, Inc. Software-Defined Vehicles Products, Services and Solutions
7.10.4 Tesla, Inc. Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.10.5 Tesla, Inc. Recent Developments
7.11 Toyota Motor Corporation
7.11.1 Toyota Motor Corporation Profile
7.11.2 Toyota Motor Corporation Main Business
7.11.3 Toyota Motor Corporation Software-Defined Vehicles Products, Services and Solutions
7.11.4 Toyota Motor Corporation Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.11.5 Toyota Motor Corporation Recent Developments
7.12 Volkswagen Ag
7.12.1 Volkswagen Ag Profile
7.12.2 Volkswagen Ag Main Business
7.12.3 Volkswagen Ag Software-Defined Vehicles Products, Services and Solutions
7.12.4 Volkswagen Ag Software-Defined Vehicles Revenue (US$ Million) & (2019-2024)
7.12.5 Volkswagen Ag Recent Developments
8 Industry Chain Analysis
8.1 Software-Defined Vehicles Industrial Chain
8.2 Software-Defined Vehicles Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Software-Defined Vehicles Sales Model
8.5.2 Sales Channel
8.5.3 Software-Defined Vehicles Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
BMW Group
BYD Company Limited
Ford Motor Company
General Motors Company
Honda Motor Co., Ltd.
Hyundai Motor Company
Mercedes Benz Group AG
Stellantis NV
Suzuki Motor Corporation
Tesla, Inc.
Toyota Motor Corporation
Volkswagen Ag
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*If Applicable.
