자율주행차 개발 플랫폼 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2025-2034년)

The Global Autonomous Vehicle Development Platform Market was valued at USD 36.2 billion in 2024 and is projected to grow at a robust CAGR of 20.7% from 2025 to 2034. This growth is driven by the increasing demand for advanced safety features and the push from governments around the world to improve road safety through regulations. These platforms play a crucial role in developing and testing key technologies such as collision avoidance, lane-keeping assistance, and adaptive cruise control.

As consumers increasingly seek convenient and efficient transportation options, investment in autonomous vehicles has surged. The expansion of shared mobility services and the rise of mobility-as-a-service (MaaS) platforms also contribute to the growing need for reliable autonomous systems. The continuous progress in artificial intelligence (AI), machine learning, and sensor technologies further strengthens the functionality and feasibility of these platforms, driving their adoption in the automotive sector.

The rapid evolution of connectivity and infrastructure technologies is another major factor propelling the market. With the widespread rollout of 5G networks, autonomous vehicles can now communicate in real-time with their surroundings, ensuring more accurate navigation and enhanced safety. The development of smart cities and vehicle-to-everything (V2X) communication systems provides seamless integration between autonomous vehicles and their environment, facilitating improved performance. Additionally, investments in testing facilities and government-supported infrastructure initiatives continue to boost market growth.

The market is divided into passenger and commercial vehicles. The passenger vehicle segment accounted for over 60% of the market share in 2024, and it is expected to surpass USD 150 billion by 2034. This growth is largely attributed to increasing consumer demand for safer, more convenient transportation. Urbanization and growing traffic congestion drive the need for autonomous ride-hailing and car-sharing services, which primarily cater to passengers. As regulatory support increases, the passenger vehicle segment becomes a focal point for innovation, with advancements in AI and sensor technologies further enhancing its appeal.

In terms of components, the market is divided into software and services. The software segment dominated the market in 2024, accounting for over 70% of the market share. This is because software plays a vital role in enabling autonomous functionality, including navigation, decision-making, and machine learning. As AI and data processing capabilities improve, the demand for advanced software systems continues to rise. Furthermore, the scalability of software solutions enables their integration across various vehicle types, reinforcing their market dominance.

In the U.S., the autonomous vehicle development platform market accounted for 75% of the global revenue in 2024 and is expected to exceed USD 60 billion by 2034. This growth can be attributed to the country's strong technological infrastructure, the presence of major tech companies, and its significant investments in AI, machine learning, and data analytics. Additionally, favorable regulations and a well-established automotive industry provide a solid foundation for innovation in autonomous transportation. Early adoption of autonomous technologies and venture capital funding for research and development further fuel market expansion in the U.S.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2034

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Autonomous vehicle development platform software developers
  • 3.2.2 Service Providers
  • 3.2.3 End users
• 3.3 Profit margin analysis
• 3.4 Cost Breakdown analysis
• 3.5 Technology & innovation landscape
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Increasing demand for advanced driver assistance systems and autonomous vehicle technologies
    • 3.8.1.2 Advancements in AI, machine learning, and sensor technologies
    • 3.8.1.3 Rising investment in mobility-as-a-service and autonomous ride-sharing solutions
    • 3.8.1.4 Development of 5G networks and connected infrastructure
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 High development and testing costs for autonomous vehicle platforms
    • 3.8.2.2 Regulatory uncertainties and lack of standardization across regions
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

• 5.1 Key trends
• 5.2 Software
• 5.3 Service

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Bn)

• 6.1 Key trends
• 6.2 Passenger car
• 6.3 Commercial vehicle

Chapter 7 Market Estimates & Forecast, By Functionality, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Sensor simulation
• 7.3 Data collection and analysis
• 7.4 Simulation and testing

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Automotive manufacturers
• 8.3 Technology companies
• 8.4 Research institutions and universities

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Russia
  • 9.3.7 Nordics
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Southeast Asia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 ANSYS Inc.
• 10.2 Aptiv
• 10.3 Aurora Innovation
• 10.4 Baidu Apollo
• 10.5 BMW AG
• 10.6 Cruise
• 10.7 FiveAI Ltd.
• 10.8 Ford Motor.
• 10.9 General Motors.
• 10.10 Green Hills Software
• 10.11 Hexagon AB
• 10.12 Honda Motor
• 10.13 Hyundai Motor
• 10.14 Mercedes Benz
• 10.15 NVIDIA
• 10.16 Nuro
• 10.17 Renault SAS
• 10.18 Siemens
• 10.19 Toyota Motor
• 10.20 Zoox (Amazon)