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Autonomous Driving Software Market

Autonomous Driving Software Market, Share & Trends Analysis Report, By Level of Autonomy (L2+, L3, L4), Vehicle Type (Passenger Cars, Commercial Vehicles), Propulsion (ICE, Electric), By Region, and Segment Forecasts, 2024-2031

Report ID : 2713 | Published : 2024-08-29 | Pages: 178 | Format: PDF/EXCEL

The Autonomous Driving Software Market Size is valued at USD 1.67 Bn in 2023 and is predicted to reach USD 4.08 Bn by the year 2031 at an 12.1% CAGR during the forecast period for 2024-2031.

autonomous driving software

The market for autonomous driving software is expanding due in large part to the growing need for safer and more effective transportation options. Automotive manufacturers are obligated to integrate safety features into their vehicles due to the worldwide enforcement of strict safety regulations. Self-driving cars, including trucks and other vehicles, are designed to operate safely without the need for a driver to take control. While designs may vary, most self-driving systems rely on a combination of sensors, such as radar, to create and maintain a detailed map of their environment.

The software processes these inputs to generate a driving path and sends commands to the vehicle’s actuators, which control steering, braking, and acceleration. To ensure safe operation, the software utilizes hard-coded rules, predictive modeling, obstacle avoidance algorithms, and intelligent object discrimination to navigate traffic laws and avoid obstacles effectively. The autopilot driving software is instantly modified by this change because it helps to comply with specific safety requirements. To ensure vehicle safety, it makes use of complex algorithms and real-time data processing.

Furthermore, because autonomous driving technologies can be seamlessly included into the electronic structures of electric vehicles, the increasing popularity of EVs supports the advancement of these technologies. Simultaneously to this, the rigorous development of advanced driver assistance system (ADAS) technology sets even greater standards for sophisticated software applications utilized by the automotive sector. Among the several automation and safety features that are part of ADAS are adaptive cruise control and lane-keeping assistance. Constant advancements in sensor fusion, AI, and machine learning (ML) technologies are driving the industry.

Competitive Landscape

Some of the Major Key Players in the Autonomous Driving Software Market are

  • Autox
  • Cruise
  • Carmera
  • Embark Trucks
  • Magna International
  • Motional
  • Nauto
  • Mobileye
  • Nvidia Corporation
  • Tesla Inc
  • Siemens Ag
  • Qualcomm
  • Huawei
  • Aurora Innovation Ltd.
  • Aptiv
  • Waymo
  • Green Hills
  • Blackberry
  • Astemo
  • Cariad
  • Baidu
  • Continental Ag
  • Robert Bosch
  • Woven (By Toyota)
  • Ai Motive
  • Pony Ai
  • Kpit
  • Oxa Autonomy Limited
  • Zoox, Inc.
  • Imagry
  • Wayve Technologies Ltd.

Market Segmentation:

The Autonomous Driving Software Market is segmented based level of autonomy, vehicle type, propulsion, software type. Based on the Level of Autonomy, the market segmented into L2+, L3, L4. Based on the vehicle type, the market segmented into passenger cars, commercial vehicles. Based on Propulsion, the market segmented into, ICE, electric. Based on software type, the market segmented into perception & planning software, chauffeur software, interior sensing software, supervision/monitoring software.

The L2+ Solutions Segment Is Expected To Have The Highest Growth Rate During The Forecast Period

Based on the level of autonomy, the market segmented into L2+, L3, L4. Among these, the L2+ solutions segment is expected to have the highest growth rate during the forecast period. This level represents partial automation, where the vehicle can control steering, acceleration, and braking in certain conditions, but the driver must be engaged and ready to take over. L2+ autonomous vehicles offer advanced driver assistance features like lane departure warning, adaptive cruise control, blind spot detection, automated emergency braking, and lane-keeping assistance. The "plus" indicates systems that offer more advanced features, such as automated lane changes or advanced cruise control. L2+ is a rapidly growing segment as it balances automation with driver control.

The Passenger Cars Models Segment Dominates the Market

Based on the vehicle type, the market segmented into Passenger Cars, commercial vehicles. Among these, the passenger cars models segment dominates the market. This dominance is driven by the high adoption rate of advanced driver assistance systems (ADAS) and autonomous features in passenger vehicles. Major automotive OEMs are focusing heavily on integrating autonomous technologies into passenger cars, catering to the growing consumer demand for enhanced safety, convenience, and driving experience.

Asia Pacific Have the Largest Market Share During Forecast Period

The region controls the majority of the global market because of the rising use of these cars and consumer desire for features with cutting-edge technologies. Automakers intend to extend their production networks and achieve technological advancements in developing nations like China and India. The Asia Pacific region is home to leading technology companies, automotive manufacturers, and startups that are heavily investing in autonomous driving technologies. Strong R&D capabilities, coupled with partnerships between tech firms and automakers, drive innovation and market growth.

Recent Developments:

  • In April 2024, Mobileye, declared that it has shipped clients the first production-candidate hardware and software of its new EyeQTM6 Lite system-on-a-chip, which will power sophisticated driver-assistance features in a number of models that will be released this year. With the EyeQ6L scheduled to be installed in 46 million cars over the next three years, this milestone signifies the launch of the EyeQ6 family, which has quickly emerged as the preferred ADAS solution for the worldwide auto industry. The EyeQ6 High advanced system-on-chip, which is scheduled for release in early 2025, will come after it.
  • In March 2024, NVIDIA, declared that the NVIDIA DRIVE ThorTM centralized car computer has been accepted by top transportation firms to power their next-generation consumer and commercial fleets, which include trucks, new energy vehicles, robotaxis, robobuses, and last-mile autonomous delivery vehicles.

Autonomous Driving Software Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 1.67 Bn

Revenue Forecast In 2031

USD 4.08 Bn

Growth Rate CAGR

CAGR of 12.1% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

Level of Autonomy, Vehicle Type, Propulsion, Software Type

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South Korea; South East Asia

Competitive Landscape

Autox, Cruise, Carmera, Embark Trucks, Magna International, Motional, Nauto, Mobileye, Nvidia Corporation, Tesla Inc, Siemens Ag, Qualcomm, Huawei, Aurora Innovation Ltd., Aptiv, Waymo Green Hills, Blackberry, Astemo, Cariad, Baidu, Continental Ag, Robert Bosch, Woven (By Toyota), AI Motive, Pony AI, Kpit, Oxa Autonomy Limited, Zoox, Inc., Imagry, Wayve Technologies Ltd.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing and Available Payment Methods

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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Autonomous Driving Software Market Snapshot

Chapter 4. Global Autonomous Driving Software Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: Level of Autonomy Estimates & Trend Analysis
5.1. Level of Autonomy & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following Level of Autonomy:

5.2.1. L2+
5.2.2. L3
5.2.3. L4

Chapter 6. Market Segmentation 2: by Vehicle Type Estimates & Trend Analysis
6.1. by Vehicle Type & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Vehicle Type:

6.2.1. Passenger Cars
6.2.2. Commercial Vehicles

Chapter 7. Market Segmentation 3: by Propulsion Estimates & Trend Analysis
7.1. by Propulsion & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Propulsion:

7.2.1. ICE
7.2.2. Electric

Chapter 8. Market Segmentation 4: by Software Type Size Estimates & Trend Analysis
8.1. By Software Type Size & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Software Type Size:

8.2.1. Perception & Planning Software
8.2.2. Chauffeur Software
8.2.3. Interior Sensing Software
8.2.4. Supervision/Monitoring Software

Chapter 9. Autonomous Driving Software Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts Level of Autonomy, 2024-2031
9.1.2. North America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
9.1.3. North America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Propulsion, 2024-2031
9.1.4. North America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Software Type Size, 2024-2031
9.1.5. North America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts Level of Autonomy, 2024-2031
9.2.2. Europe Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
9.2.3. Europe Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Propulsion, 2024-2031
9.2.4. Europe Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Software Type Size, 2024-2031
9.2.5. Europe Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts Level of Autonomy, 2024-2031
9.3.2. Asia Pacific Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
9.3.3. Asia-Pacific Thermal Cyclers Asia-Pacific Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Propulsion, 2024-2031
9.3.4. Asia-Pacific Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Software Type Size, 2024-2031
9.3.5. Asia Pacific Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts Level of Autonomy, 2024-2031
9.4.2. Latin America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
9.4.3. Latin America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Propulsion, 2024-2031
9.4.4. Latin America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Software Type Size, 2024-2031
9.4.5. Latin America Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts Level of Autonomy, 2024-2031
9.5.2. Middle East & Africa Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
9.5.3. Middle East & Africa Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Propulsion, 2024-2031
9.5.4. Middle East & Africa Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by Software Type Size, 2024-2031
9.5.5. Middle East & Africa Autonomous Driving Software Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Autox
10.2.2. Cruise
10.2.3. Carmera
10.2.4. Embark Trucks
10.2.5. Magna International
10.2.6. Motional
10.2.7. Nauto
10.2.8. Mobileye
10.2.9. Nvidia Corporation
10.2.10. Tesla Inc
10.2.11. Siemens Ag
10.2.12. Qualcomm
10.2.13. Huawei
10.2.14. Aurora Innovation Ltd.
10.2.15. Aptiv
10.2.16. Waymo
10.2.17. Green Hills
10.2.18. Blackberry
10.2.19. Astemo
10.2.20. Cariad
10.2.21. Baidu
10.2.22. Continental Ag
10.2.23. Robert Bosch
10.2.24. Woven (By Toyota)
10.2.25. Ai Motive
10.2.26. Pony Ai
10.2.27. Kpit
10.2.28. Oxa Autonomy Limited
10.2.29. Zoox, Inc.
10.2.30. Imagry
10.2.31. Wayve Technologies Ltd.

Segmentation of Autonomous Driving Software Market

Global Autonomous Driving Software Market - Level of Autonomy

  • L2+
  • L3
  • L4

autonomous driving software

Global Autonomous Driving Software Market – By Vehicle Type

  • Passenger Cars
  • Commercial Vehicles

Global Autonomous Driving Software Market – Based on Propulsion

  • ICE
  • Electric

Global Autonomous Driving Software Market – By Software Type

  • Perception & planning software
  • Chauffeur software
  • Interior sensing software
  • Supervision/monitoring software

Global Autonomous Driving Software Market – By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

 

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the Autonomous Driving Software Market Size?

The Autonomous Driving Software Market is expected to grow at an 12.1% CAGR during the forecast period for 2024-2031.

Autox, Cruise, Carmera, Embark Trucks, Magna International, Motional, Nauto, Mobileye, Nvidia Corporation, Tesla Inc, Siemens Ag, Qualcomm, Huawei, Au

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