SDV(Software-Defined Vehicle) 시장 : 차종별, 추진 유형별, 자율성 레벨별, 오퍼링별, 용도별, 예측(2023-2032년)

Software-defined vehicle market size is projected to expand at 22.1% CAGR from 2023 to 2032. The increasing integration of advanced technologies like AI, machine learning, and edge computing in automotive systems is paving the path for enhanced vehicle intelligence and connectivity. The rising consumer demand for personalized and immersive in-car experiences, including advanced infotainment and connectivity features, is further driving the adoption of software-defined vehicle (SDV) solutions.

The increasing push towards autonomous driving and the dire need for real-time data processing is necessitating the implementation of software-defined architectures. The growing emphasis on vehicle electrification along with developments in electric and hybrid vehicles are fostering innovations in the automotive sector, further contributing to the market expansion. For instance, in October 2022, major automobile manufacturer Hyundai, announced plans to transform its entire vehicle lineup to SDVs by 2025 while providing over-the-air (OTA) upgrades for safety, convenience, connectivity, and security for driving performance, and other functions across the vehicles.

The software-defined vehicle industry is bifurcated into vehicle type, propulsion type, level of autonomy, offering, application, and region.

The market share from the commercial vehicle type segment is estimated to rise at substantial CAGR through 2032. This is due to the increasing demand for fleet management efficiency, advanced telematics, and autonomous capabilities. The need for improved safety features, real-time data analytics, and enhanced connectivity solutions will drive the adoption of software-defined technologies for optimizing operations of commercial vehicles.

Based on application, the autonomous driving segment is projected to accumulate sizeable revenue share of the software-defined vehicle market by 2032. The growth can be attributed to the escalating demand for sophisticated driver-assistance systems and autonomous functionalities. The adoption of real-time data processing, advanced sensor integration, and continuous software updates is playing a pivotal role in enhancing the functionality and safety of autonomous vehicles, further driving the segment growth.

Regionally, the Asia Pacific software-defined vehicle industry size is projected to depict over 25% CAGR between 2023 and 2032, due to the rapid technological advancements, increasing adoption of electric and autonomous vehicles, along with the high demand for advanced connectivity solutions. In addition, the influx of government initiatives, the emerging urbanization trends, and the rising focus on sustainable transportation will drive the industry expansion in the region.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market definitions
• 1.2 Base estimates & calculations
• 1.3 Forecast calculation
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Software-defined vehicle market 360 degree synopsis, 2018 - 2032
• 2.2 Regional trends
• 2.3 Vehicle type trends
• 2.4 Propulsion type trends
• 2.5 Level of Autonomy trends
• 2.6 Offering trends
• 2.7 Application trends

Chapter 3 Software-Defined Vehicle Market Industry Insights

• 3.1 Impact of COVID-19
• 3.2 Impact of Russia-Ukraine war
• 3.3 Industry ecosystem analysis
• 3.4 Vendor matrix
• 3.5 Profit margin analysis
• 3.6 Vehicle Type & innovation landscape
• 3.7 Patent analysis
• 3.8 Key news and initiatives
• 3.9 Regulatory landscape
• 3.10 Impact forces
  • 3.10.1 Growth drivers
    • 3.10.1.1 Rising demand for advanced features in vehicles
    • 3.10.1.2 Stringent vehicle safety regulations
    • 3.10.1.3 Increased investments in research and development
    • 3.10.1.4 Enhanced navigation and connectivity
  • 3.10.2 Industry pitfalls & challenges
    • 3.10.2.1 Vast amount of data raises data privacy concerns
    • 3.10.2.2 Complexity and interoperability issues
• 3.11 Profit margin analysis
• 3.12 Vendor matrix analysis
• 3.13 Growth potential analysis
• 3.14 Porter's analysis
• 3.15 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

• 4.1 Introduction
• 4.2 Company market share, 2022
• 4.3 Competitive analysis of major market players, 2022
  • 4.3.1 Aptiv PLC
  • 4.3.2 Continental
  • 4.3.3 Mobileye
  • 4.3.4 NVIDIA Corporation
  • 4.3.5 Robert Bosch GmbH
  • 4.3.6 Tesla Inc.
  • 4.3.7 Waymo LLC
• 4.4 Competitive positioning matrix, 2022
• 4.5 Strategic outlook matrix, 2022

Chapter 5 Software-Defined Vehicle Market Estimates & Forecast, By Vehicle Type

• 5.1 Key trends, by vehicle type
• 5.2 Passenger
• 5.3 Commercial

Chapter 6 Software-Defined Vehicle Market Estimates & Forecast, By Propulsion Type

• 6.1 Key trends, by propulsion type
• 6.2 ICE
• 6.3 Electric Vehicle

Chapter 7 Software-Defined Vehicle Market Estimates & Forecast, By Level of Autonomy

• 7.1 Key trends, by level of autonomy
• 7.2 Level 1
• 7.3 Level 2
• 7.4 Level 3
• 7.5 Level 4

Chapter 8 Software-defined Vehicle Market Estimates & Forecast, By Offering

• 8.1 Key trends, by offering
• 8.2 Software
  • 8.2.1 Infotainment and Telematics Software
  • 8.2.2 Advanced Driver Assistance Systems (ADAS) Software
  • 8.2.3 Autonomous Driving Software
  • 8.2.4 Over-the-Air (OTA) Software Update Platforms
  • 8.2.5 Cybersecurity Software
  • 8.2.6 Connectivity Solutions
  • 8.2.7 Others
• 8.3 Hardware
  • 8.3.1 Sensors
  • 8.3.2 Computing Hardware
  • 8.3.3 Connectivity Modules
  • 8.3.4 Others
• 8.4 Services
  • 8.4.1 Integration Services
  • 8.4.2 Connectivity Services
  • 8.4.3 Others

Chapter 9 Software-defined Vehicle Market Estimates & Forecast, By Application

• 9.1 Key trends, by application
• 9.2 Infotainment systems
• 9.3 ADAS
• 9.4 Autonomous driving
• 9.5 Telematics
• 9.6 Powertrain control
• 9.7 Others

Chapter 10 Software-defined Vehicle Market Estimates & Forecast, By Region

• 10.1 Key trends, by region
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Netherlands
  • 10.3.7 Nordics
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 Japan
  • 10.4.3 India
  • 10.4.4 South Korea
  • 10.4.5 Australia
  • 10.4.6 Southeast Asia
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 Saudi Arabia
  • 10.6.3 South Africa

Chapter 11 Company Profiles

• 11.1 Aptiv PLC
• 11.2 Audi AG
• 11.3 BMW Group
• 11.4 Continental
• 11.5 Ford Motor Company
• 11.6 General Motors
• 11.7 Harman International
• 11.8 Lear Corporation
• 11.9 Marelli Holdings Co. Ltd.
• 11.10 Mercedes-Benz
• 11.11 Mobileye
• 11.12 NVIDIA Corporation
• 11.13 NXP
• 11.14 Porsche AG
• 11.15 Robert Bosch GmbH
• 11.16 Siemens
• 11.17 Tesla, Inc.
• 11.18 Valeo
• 11.19 Volkswagen Group
• 11.20 Volvo Cars
• 11.21 Waymo
• 11.22 ZF Friedrichshafen AG.