Autonomous Driving Software Market Size and Share

Autonomous Driving Software Market (2025 - 2030)
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Autonomous Driving Software Market Analysis by Mordor Intelligence

The autonomous driving software market size is USD 2.29 billion in 2025 and is projected to reach USD 4.38 billion by 2030, tracking a 13.83% CAGR during the forecast period (2025-2030). Demand is spurred by mandatory advanced driver-assistance regulations, a rapid fall in sensor and compute costs, and original-equipment-manufacturer pivots to software-defined vehicles. Platform ecosystems have overtaken hardware differentiation, so value now concentrates in perception, prediction, and decision-making code. Asia-Pacific leads revenue and volume thanks to China’s policy push, while Europe and the United States supply key validation and safety frameworks. Competitive momentum favors firms able to integrate hardware acceleration with cloud-native development, shortening iteration cycles and unlocking recurring revenue through over-the-air updates.

Key Report Takeaways

  • By level of autonomy, Level 2 software held 46.57% of the autonomous driving software market share in 2024; Level 4 and 5 solutions are expected to expand at a 17.35% CAGR during the forecast period (2025-2030).
  • By propulsion type, internal combustion platforms accounted for a 62.77% share of the autonomous driving software market in 2024. In contrast, electric vehicles are expected to register the fastest 18.13% CAGR during the forecast period (2025-2030).
  • By vehicle type, passenger cars led the autonomous driving software market with a 70.86% share in 2024; commercial vehicles are expected to grow at a 16.11% CAGR during the forecast period (2025-2030).
  • By software type, perception and planning captured a 38.47% share of the autonomous driving software market in 2024, while chauffeur software is projected to rise at a 15.81% CAGR during the forecast period (2025-2030).
  • By geography, the Asia-Pacific captured a 34.42% share of the autonomous driving software market in 2024 and is projected to grow at a 13.99% CAGR during the forecast period (2025-2030).

Segment Analysis

By Level Of Autonomy: Level 2 Scale And Level 4 / 5 Momentum

Level 2 holds a 46.57% share in 2024 within the autonomous driving software market, anchored by adaptive cruise control and lane-centering functions rolled out across high-volume passenger platforms. Revenue flows from subscription packages that unlock enhanced driving convenience, creating steady cash flows while accustoming drivers to supervised automation features. Mandates in Europe and China force OEMs to embed these capabilities as standard equipment, ensuring baseline volume and predictable integration road maps.

Higher-autonomy Level 4 and 5 software records a 17.35% CAGR during the forecast period (2025-2030), as commercial robotaxi and hub-to-hub freight services scale beyond pilot volume. Geo-fenced operating domains, combined with remote-assistance safety protocols, allow revenue operations without an in-vehicle driver. Regulatory pathways remain stringent, yet successful safety-case filings in select cities signal accelerating approvals. Investment funnels toward perception redundancy, behavioral prediction fidelity, and real-time fail-over mechanisms that meet functional safety targets.

Autonomous Driving Software Market: Market Share by Level of Autonomy
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By Propulsion Type: Electric-Vehicle Integration Advantages

Internal-combustion platforms command a 62.77% share of the autonomous driving software market size in 2024 because legacy fleet architectures continue to dominate global sales. Hybrid systems face power management complexity that complicates autonomous driving software implementation. OEMs retrofit ADAS features via distributed electronic-control units, but thermal envelopes and 12-volt wiring constrain compute scalability. Software upgrades, therefore, face physical bottlenecks, limiting roadmap agility. 

Electric vehicles advance at an 18.13% CAGR during the forecast period (2025-2030), leveraging high-voltage electrics and centralized compute to accommodate multi-sensor arrays and GPU-class processors. Cooling loops originally designed for battery packs now dissipate AI workload heat, solving a critical thermal hurdle. Over-the-air firmware orchestrates battery management and autonomous functions through a unified software stack, supporting continuous feature extension and heightening customer lifetime value.

By Vehicle Type: Commercial Fleets Lead Uptake Economics

Passenger cars generate a 70.86% share of the autonomous driving software market's 2024 revenue, supported by consumer demand for safety and convenience. Volume guarantees economies of scale for camera modules, radar, and domain controllers, thus pulling down unit cost curves that benefit the entire ecosystem. Marketing narratives reposition autonomy as a safety feature rather than a premium gadget, widening mass-market acceptance.

Commercial vehicles, however, post the fastest 16.11% CAGR during the forecast period (2025-2030), because automation sharply reduces driver wage exposure and improves asset utilization. Long-haul routes exhibit stable traffic patterns, enabling efficient perception model training and high miles-per-vehicle metrics. Fleet managers invest in tele-operations centers and predictive-maintenance analytics that slot directly into existing logistics software, simplifying operational change management

Autonomous Driving Software Market: Market Share by Vehicle Type
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By Software Type: Perception Foundation And Chauffeur Growth

Perception and planning retain a 38.47% share of the autonomous driving software market size in 2024, functioning as the indispensable layer that converts raw sensor input into actionable world models. Continuous improvements in computer-vision networks and LiDAR-fusion algorithms lift detection range and classification accuracy, enhancing safety margins and enabling higher-speed operation. Cost-effective SoCs bundled with optimized neural-network accelerators push inference latency below 10 milliseconds, fulfilling stringent reaction-time requirements.

Chauffeur software posts a 15.81% CAGR during the forecast period (2025-2030), as end-to-end stacks combine perception, prediction, and control into cohesive decision engines capable of handling unstructured urban scenarios. Real-world miles harvested from commercial robotaxi fleets feed reinforcement-learning pipelines, improving long-tail competence. Remote-assistance modules and operational-design-domain monitoring guarantee fail-safe fallback, a prerequisite for regulatory approval of unsupervised driving.

Geography Analysis

Asia-Pacific leads with 34.42% share of the autonomous driving software market in 2024 and projects a 13.99% CAGR during the forecast period (2025-2030). Policy makers in China authorize large-scale pilot zones that cover mixed traffic, night conditions, and adverse weather. Domestic technology champions secure preferential access to public road test mileage, amassing proprietary datasets that differentiate perception models. Japan targets autonomous shuttles for rural mobility, while South Korea integrates 5G cellular-vehicle-to-everything backbones that enhance situational awareness. Manufacturing scale in the region compresses hardware cost and speeds global diffusion of next-generation sensor stacks.

North America ranks second and tracks a 12.76% CAGR during the forecast period (2025-2030). Silicon Valley start-ups harness abundant venture capital to explore diverse autonomy niches, ranging from sidewalk robots to autonomous middle-mile logistics. Regulatory sandboxes in California and Arizona permit public-road passenger service and ride-hailing integrations that validate commercial economics. Canada supplements the ecosystem with cold-weather testing corridors, diversifying data coverage and stress-testing perception stacks under snow and ice.

Europe maintains a coordinated regulatory environment and posts a 12.27% CAGR during the forecast period (2025-2030). The General Safety Regulation requires uniform ADAS deployment, so suppliers can amortize development across the region’s large passenger-car base. Germany’s tier-one supplier cluster provides hardware-software integration expertise, while Scandinavian countries experiment with autonomous public-transit pilots that feed operational insights back to the broader market. Harmonized privacy laws clarify data-handling obligations, smoothing cross-border fleet operations.

Autonomous Driving Software Market CAGR (%), Growth Rate by Region
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Competitive Landscape

Market concentration remains moderate, leaving room for specialized entrants. NVIDIA packages high-performance compute with reference perception stacks and a simulation suite, enabling OEMs to accelerate development without full vertical integration. Mobileye leverages economies of scale from millions of EyeQ chips, offering a clear upgrade path from Level 2 to Level 4 on the same hardware footprint. Waymo adopts a vertically integrated approach that controls everything from proprietary sensors to service-delivery apps, prioritizing safety validation through high-mileage real-world operation.

Technology differentiation now hinges on data assets and software-tool-chain maturity. Companies that command petabyte-scale driving logs can iterate neural-network parameters rapidly, improving generalization to new geographies. Safety-case automation, including formal verification of planner logic and synthetic-scenario-based fault injection, emerges as a new battleground. Suppliers able to document ISO 26262 compliance at the code-artifact level win preferred-vendor status among risk-averse OEMs.

Strategic alliances are multiplying. Cloud providers pair edge-compute orchestration with scalable simulation back-ends, while automakers seek shared investment structures that distribute R&D burden across partners. Mergers and acquisitions target niche capabilities such as high-efficiency perception accelerators and end-to-end tool-chain traceability. Patent filings rose around 40% in 2024, reflecting rising competition to secure algorithmic IP before mass commercialization.

Autonomous Driving Software Industry Leaders

  1. NVIDIA Corporation

  2. Mobileye (Intel)

  3. Waymo LLC

  4. Tesla, Inc.

  5. Baidu Apollo

  6. *Disclaimer: Major Players sorted in no particular order
Autonomous Driving Software Market
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Recent Industry Developments

  • September 2025: Nissan began public demonstrations of next-generation ProPILOT advanced driver-assist technology, integrating Wayve AI software with proprietary LiDAR-based ground-truth perception.
  • September 2025: Qualcomm and BMW unveiled Snapdragon Ride Pilot, an automated-driving system built on co-developed Snapdragon Ride silicon and software.
  • September 2025: NVIDIA disclosed intent to invest USD 500 million in Wayve, accelerating embodied-AI research for autonomous vehicles.
  • February 2025: General Motors completed a USD 1.35 billion buy-out of Cruise, consolidating ownership ahead of expanded robotaxi launches.

Table of Contents for Autonomous Driving Software Industry Report

1. Introduction

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. Research Methodology

3. Executive Summary

4. Market Landscape

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 OEM Pivot to Software-Defined Vehicles (SDVs)
    • 4.2.2 Expanding ADAS Mandates in Europe, China And U.S.
    • 4.2.3 Rapid Decline in LiDAR And Compute-Unit Costs Post-2025
    • 4.2.4 Advanced Traffic-Management Pilots Enabling L4 Geo-Fenced Robo-Taxis
    • 4.2.5 Cloud-Native Simulation Platforms Shortening Dev Cycles
    • 4.2.6 Deployment of HD-Map-Free Perception Stacks in China
  • 4.3 Market Restraints
    • 4.3.1 Scarcity of Functional-Safety Talent for ISO 26262 and SOTIF
    • 4.3.2 Fragmented Regulatory Approval Across U.S. States
    • 4.3.3 High-Performance Computing Thermal-Management Limits in EVs
    • 4.3.4 Cyber-Security Liability for Over-The-Air (OTA) Updates
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter’s Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Suppliers
    • 4.7.3 Bargaining Power of Buyers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry

5. Market Size and Growth Forecasts (Value (USD))

  • 5.1 By Level of Autonomy
    • 5.1.1 Level 1
    • 5.1.2 Level 2
    • 5.1.3 Level 3
    • 5.1.4 Level 4 and 5
  • 5.2 By Propulsion Type
    • 5.2.1 Internal Combustion Engine
    • 5.2.2 Electric
  • 5.3 By Vehicle Type
    • 5.3.1 Passenger Vehicle
    • 5.3.2 Commercial Vehicle
  • 5.4 By Software Type
    • 5.4.1 Perception and Planning Software
    • 5.4.2 Chauffeur Software
    • 5.4.3 Interior Sensing Software
    • 5.4.4 Supervision / Monitoring Software
  • 5.5 By Geography
    • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Rest of North America
    • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
    • 5.5.3 Europe
    • 5.5.3.1 United Kingdom
    • 5.5.3.2 Germany
    • 5.5.3.3 Spain
    • 5.5.3.4 Italy
    • 5.5.3.5 France
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
    • 5.5.4 Asia-Pacific
    • 5.5.4.1 India
    • 5.5.4.2 China
    • 5.5.4.3 Japan
    • 5.5.4.4 South Korea
    • 5.5.4.5 Rest of Asia-Pacific
    • 5.5.5 Middle East and Africa
    • 5.5.5.1 United Arab Emirates
    • 5.5.5.2 Saudi Arabia
    • 5.5.5.3 Turkey
    • 5.5.5.4 Egypt
    • 5.5.5.5 South Africa
    • 5.5.5.6 Rest of Middle East and Africa

6. Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (Includes Global Level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, SWOT Analysis, and Recent Developments)
    • 6.4.1 NVIDIA Corporation
    • 6.4.2 Mobileye (Intel)
    • 6.4.3 Waymo LLC
    • 6.4.4 Tesla, Inc.
    • 6.4.5 Baidu Apollo
    • 6.4.6 Continental AG
    • 6.4.7 Robert Bosch GmbH
    • 6.4.8 Aptiv PLC
    • 6.4.9 ZF Friedrichshafen AG
    • 6.4.10 Huawei Technologies Co., Ltd.
    • 6.4.11 Pony.ai
    • 6.4.12 Cruise LLC
    • 6.4.13 Oxbotica
    • 6.4.14 Magna International Inc.
    • 6.4.15 Qualcomm Technologies, Inc.
    • 6.4.16 Valeo SA

7. Market Opportunities and Future Outlook

  • 7.1 White-space and Unmet-Need Assessment
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Global Autonomous Driving Software Market Report Scope

By Level of Autonomy
Level 1
Level 2
Level 3
Level 4 and 5
By Propulsion Type
Internal Combustion Engine
Electric
By Vehicle Type
Passenger Vehicle
Commercial Vehicle
By Software Type
Perception and Planning Software
Chauffeur Software
Interior Sensing Software
Supervision / Monitoring Software
By Geography
North AmericaUnited States
Canada
Rest of North America
South AmericaBrazil
Argentina
Rest of South America
EuropeUnited Kingdom
Germany
Spain
Italy
France
Russia
Rest of Europe
Asia-PacificIndia
China
Japan
South Korea
Rest of Asia-Pacific
Middle East and AfricaUnited Arab Emirates
Saudi Arabia
Turkey
Egypt
South Africa
Rest of Middle East and Africa
By Level of AutonomyLevel 1
Level 2
Level 3
Level 4 and 5
By Propulsion TypeInternal Combustion Engine
Electric
By Vehicle TypePassenger Vehicle
Commercial Vehicle
By Software TypePerception and Planning Software
Chauffeur Software
Interior Sensing Software
Supervision / Monitoring Software
By GeographyNorth AmericaUnited States
Canada
Rest of North America
South AmericaBrazil
Argentina
Rest of South America
EuropeUnited Kingdom
Germany
Spain
Italy
France
Russia
Rest of Europe
Asia-PacificIndia
China
Japan
South Korea
Rest of Asia-Pacific
Middle East and AfricaUnited Arab Emirates
Saudi Arabia
Turkey
Egypt
South Africa
Rest of Middle East and Africa
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Key Questions Answered in the Report

What revenue does the autonomous driving software market generate in 2025?

The market generates USD 2.29 billion in 2025 and is on track to reach USD 4.38 billion by 2030.

Which region leads adoption of autonomous driving software?

Asia-Pacific holds 34% share in 2024, driven by supportive policy in China and rapid manufacturing scale-up.

Which autonomy level holds the largest commercial share?

Level 2 driver-assistance software leads with 46% share in 2024 thanks to regulatory mandates and mass-market passenger-car rollouts.

Why are electric vehicles important to autonomous software growth?

Electric-vehicle architectures supply centralized compute power and thermal capacity that simplify integration of high-performance autonomous stacks.

Which vehicle segment is expanding fastest?

Commercial vehicles post the fastest 16.11% CAGR because autonomous freight and delivery applications offer clear cost savings for fleet operators.

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