자율주행 소프트웨어 시장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Autonomous Driving Software Market, valued at USD 1.8 billion in 2023, is anticipated to grow at a compound annual growth rate (CAGR) of 13.4% from 2024 to 2032. This rapid expansion is primarily fueled by the increasing shift toward electric and eco-friendly vehicles, which offer advanced digital infrastructures well-suited for autonomous technologies. Electric vehicles (EVs) are ideal platforms for integrating sensors, artificial intelligence (AI) systems, and communication technologies essential for self-driving features. Additionally, governments worldwide support EV adoption through subsidies, tax incentives, and emissions regulations, which encourage automakers to prioritize both electric and autonomous vehicles, in line with the growing consumer preference for sustainable transportation. Government support is another critical factor driving the growth of the autonomous driving software market.

Countries across North America, Europe, and Asia back autonomous vehicle (AV) research through grants, subsidies, and supportive regulatory frameworks designed to encourage innovation, improve transportation safety, and reduce carbon emissions. Establishing designated testing zones and pilot programs for autonomous vehicles has accelerated technological advancements, while incentives like relaxed testing regulations and tax breaks for manufacturers are prompting more companies to invest in autonomous software development. These measures are vital for overcoming financial and regulatory challenges and facilitating the broader deployment of autonomous driving technologies. Market segmentation by vehicle type highlights passenger cars as a dominant segment, accounting for over 70% of the market share in 2023. This dominance is driven by the growing demand for advanced driver-assistance systems (ADAS) in personal vehicles, spurred by safety concerns and regulatory requirements.

Features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking are becoming standard, boosting the integration of autonomous software in passenger cars. The potential for ride-hailing and shared mobility applications further drives the demand for autonomous software within this segment, positioning passenger cars as a major growth area. In terms of propulsion, the EV segment held around 62% of the market share in 2023, as electric vehicles are more compatible with autonomous technology due to their advanced electronic systems. EVs' operational efficiency and reduced maintenance needs make them an attractive choice for autonomous applications, especially in sectors like logistics and ride-hailing.

Regionally, North America led the market with over 35% share in 2023, with the U.S. showing rapid progress through technological advancements and government support for AV testing. Europe is also a major contributor, supported by strong R&D investments and favorable government policies focused on sustainability and safety in transportation.

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 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Hardware manufacturers
  • 3.2.2 Software developers
  • 3.2.3 Mapping companies
  • 3.2.4 Data providers
  • 3.2.5 Systems integrators
• 3.3 Profit margin analysis
• 3.4 Cost breakdown analysis
• 3.5 Use cases
• 3.6 Technology & innovation landscape
• 3.7 Key news & initiatives
• 3.8 Regulatory landscape
• 3.9 Impact forces
  • 3.9.1 Growth drivers
    • 3.9.1.1 Increasing government initiatives and funding for autonomous vehicle development
    • 3.9.1.2 Rising urbanization and increasing traffic congestion
    • 3.9.1.3 The shift towards electric and eco-friendly vehicles
    • 3.9.1.4 Technological advancements in artificial intelligence (AI), machine learning, and sensor technologies
  • 3.9.2 Industry pitfalls & challenges
    • 3.9.2.1 Varying regulations across regions
    • 3.9.2.2 High development costs required for research and development
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 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 Level of Automation, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Level 1
• 5.3 Level 2
• 5.4 Level 3
• 5.5 Level 4
• 5.6 Level 5

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn)

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

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

• 7.1 Key trends
• 7.2 ICE
• 7.3 Electric vehicles

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

• 8.1 Key trends
• 8.2 Perception & planning software
• 8.3 Chauffeur software
• 8.4 Interior sensing software
• 8.5 Supervision/monitoring software

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($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 Aptiv
• 10.2 Aurora Innovation
• 10.3 Baidu
• 10.4 BlackBerry
• 10.5 Bosch
• 10.6 Continental AG
• 10.7 Cruise (GM)
• 10.8 Hitachi Astemo
• 10.9 Huawei
• 10.10 Kodiak Robotics
• 10.11 Magna International
• 10.12 Mobileye
• 10.13 NVIDIA Corporation
• 10.14 Pony.ai
• 10.15 Qualcomm
• 10.16 Tesla
• 10.17 Valeo
• 10.18 Waymo (Alphabet)
• 10.19 ZF Friedrichshafen AG
• 10.20 Zoox (Amazon)