Total: £ 56.28
Published Date: 2026-01-16 | Pages: 110 | Tables: 106 | New Technology
The global Neural Networks For Self-Driving Cars market was valued at US$ 6794 million in 2025 and is anticipated to reach US$ 29939 million by 2032, at a CAGR of 23.6% from 2026 to 2032.
Neural networks for self-driving cars are machine learning models inspired by the human brain that process large volumes of sensor data—such as images from cameras, point clouds from LiDAR, radar signals, and vehicle telemetry—to perceive the environment, make decisions, and control vehicle behavior. These networks, often implemented as deep learning architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, are trained on massive datasets to recognize objects, detect lanes and traffic signs, predict the motion of other road users, and plan safe driving actions in real time. By continuously learning complex, nonlinear relationships between sensor inputs and driving outputs, neural networks enable autonomous vehicles to adapt to diverse road conditions, traffic scenarios, and environmental uncertainties with high accuracy and robustness.
The North American market for Neural Networks For Self-Driving Cars is projected to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The Asia-Pacific market for Neural Networks For Self-Driving Cars is projected to rise from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The global market for Neural Networks For Self-Driving Cars in L2-3 Autonomous Driving is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 to 2032.
Major global companies of Neural Networks For Self-Driving Cars include Waymo, Tesla, NVIDIA AI Platform, Motional, Wayve, Pony.ai, Nuro, Helm.ai, Aptiv, Mobileye, etc. In 2025, the world's top three vendors accounted for approximately % of revenue.
This report focuses on the global Neural Networks For Self-Driving Cars status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Neural Networks For Self-Driving Cars development in different regions.
It segments the global Neural Networks For Self-Driving Cars market comprehensively. Regional market sizes by Type, by Application, by AI Model Type, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist Neural Networks For Self-Driving Cars manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
Market Segmentation
By Company
Waymo
Tesla
NVIDIA AI Platform
Motional
Wayve
Pony.ai
Nuro
Helm.ai
Aptiv
Mobileye
Segment by Type
Low Parameter Networks (MLPs, GRUs)
Medium Parameter Networks (CNNs, RNNs, Autoencoders)
High Parameter Networks (GNNs, Transformers)
Segment by AI Model Type
Supervised Learning Models
Unsupervised Learning Models
Segment by Application
L2-3 Autonomous Driving
L4 Autonomous Driving
L5 Autonomous Driving
By Region
North America
Europe
China
Japan
Southeast Asia
India
South America
Middle East
Research Methodology
The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:
★Stage 1 SECONDARY RESEARCH
The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.
★Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES
After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.
★Stage 3 ANALYSIS OF THE GATHERED DATA
The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.
★Stage 4 QUANTITATIVE DATA
The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.
★Stage 5 QUALITY CONTROL
Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Neural Networks For Self-Driving Cars Market Size Growth Rate by Type (2026-2032)
1.2.2 Low Parameter Networks (MLPs, GRUs)
1.2.3 Medium Parameter Networks (CNNs, RNNs, Autoencoders)
1.2.4 High Parameter Networks (GNNs, Transformers)
1.3 Market Analysis by AI Model Type
1.3.1 Global Neural Networks For Self-Driving Cars Market Size Growth Rate by AI Model Type (2026-2032)
1.3.2 Supervised Learning Models
1.3.3 Unsupervised Learning Models
1.4 Market by Application
1.4.1 Global Neural Networks For Self-Driving Cars Market Share by Application (2026-2032)
1.4.2 L2-3 Autonomous Driving
1.4.3 L4 Autonomous Driving
1.4.4 L5 Autonomous Driving
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Neural Networks For Self-Driving Cars Market Size
2.2 Neural Networks For Self-Driving Cars Market Size by Region
2.2.1 Neural Networks For Self-Driving Cars Growth Rate by Region (2026-2032)
2.2.2 Neural Networks For Self-Driving Cars Market Share by Region (2026-2032)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases
3 Key Players
3.1 Neural Networks For Self-Driving Cars Revenue by Players (2026 & 2032)
3.2 Neural Networks For Self-Driving Cars Key Players Headquarters and Area Served
3.3 Key Players Neural Networks For Self-Driving Cars Product/Solution/Service
3.4 Date of Enter into Neural Networks For Self-Driving Cars Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown by Type and Application
4.1 Global Neural Networks For Self-Driving Cars Market Size by Type (2026-2032)
4.2 Global Neural Networks For Self-Driving Cars Market Size by Application (2026-2032)
5 North America
5.1 North America Neural Networks For Self-Driving Cars Market Forecast (2026-2032)
5.2 Neural Networks For Self-Driving Cars Key Players in North America
5.3 North America Neural Networks For Self-Driving Cars Market Size by Type
5.4 North America Neural Networks For Self-Driving Cars Market Size by Application
6 Europe
6.1 Europe Neural Networks For Self-Driving Cars Market Forecast (2026-2032)
6.2 Neural Networks For Self-Driving Cars Key Players in Europe
6.3 Europe Neural Networks For Self-Driving Cars Market Size by Type
6.4 Europe Neural Networks For Self-Driving Cars Market Size by Application
7 China
7.1 China Neural Networks For Self-Driving Cars Market Forecast (2026-2032)
7.2 Neural Networks For Self-Driving Cars Key Players in China
7.3 China Neural Networks For Self-Driving Cars Market Size by Type
7.4 China Neural Networks For Self-Driving Cars Market Size by Application
8 Rest of World
8.1 Japan
8.1.1 Japan Neural Networks For Self-Driving Cars Market Analysis
8.1.2 Key Players in Japan
8.2 Southeast Asia
8.2.1 Southeast Asia Neural Networks For Self-Driving Cars Market Analysis
8.2.2 Key Players in Southeast Asia
8.3 India
8.3.1 India Neural Networks For Self-Driving Cars Market Analysis
8.3.2 Key Players in India
8.4 South America
8.4.1 South America Neural Networks For Self-Driving Cars Market Analysis
8.4.2 Key Players in South America
9 International Players Profiles
9.1 Waymo
9.1.1 Waymo Company Details
9.1.2 Waymo Description and Business Overview
9.1.3 Waymo Neural Networks For Self-Driving Cars Introduction
9.1.4 Waymo Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.1.5 Waymo Recent Development
9.2 Tesla
9.2.1 Tesla Company Details
9.2.2 Tesla Description and Business Overview
9.2.3 Tesla Neural Networks For Self-Driving Cars Introduction
9.2.4 Tesla Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.2.5 Tesla Recent Development
9.3 NVIDIA AI Platform
9.3.1 NVIDIA AI Platform Company Details
9.3.2 NVIDIA AI Platform Description and Business Overview
9.3.3 NVIDIA AI Platform Neural Networks For Self-Driving Cars Introduction
9.3.4 NVIDIA AI Platform Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.3.5 NVIDIA AI Platform Recent Development
9.4 Motional
9.4.1 Motional Company Details
9.4.2 Motional Description and Business Overview
9.4.3 Motional Neural Networks For Self-Driving Cars Introduction
9.4.4 Motional Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.4.5 Motional Recent Development
9.5 Wayve
9.5.1 Wayve Company Details
9.5.2 Wayve Description and Business Overview
9.5.3 Wayve Neural Networks For Self-Driving Cars Introduction
9.5.4 Wayve Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.5.5 Wayve Recent Development
9.6 Pony.ai
9.6.1 Pony.ai Company Details
9.6.2 Pony.ai Description and Business Overview
9.6.3 Pony.ai Neural Networks For Self-Driving Cars Introduction
9.6.4 Pony.ai Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.6.5 Pony.ai Recent Development
9.7 Nuro
9.7.1 Nuro Company Details
9.7.2 Nuro Description and Business Overview
9.7.3 Nuro Neural Networks For Self-Driving Cars Introduction
9.7.4 Nuro Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.7.5 Nuro Recent Development
9.8 Helm.ai
9.8.1 Helm.ai Company Details
9.8.2 Helm.ai Description and Business Overview
9.8.3 Helm.ai Neural Networks For Self-Driving Cars Introduction
9.8.4 Helm.ai Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.8.5 Helm.ai Recent Development
9.9 Aptiv
9.9.1 Aptiv Company Details
9.9.2 Aptiv Description and Business Overview
9.9.3 Aptiv Neural Networks For Self-Driving Cars Introduction
9.9.4 Aptiv Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.9.5 Aptiv Recent Development
9.10 Mobileye
9.10.1 Mobileye Company Details
9.10.2 Mobileye Description and Business Overview
9.10.3 Mobileye Neural Networks For Self-Driving Cars Introduction
9.10.4 Mobileye Revenue in Neural Networks For Self-Driving Cars Business (2026 & 2032)
9.10.5 Mobileye Recent Development
10 Neural Networks For Self-Driving Cars Market Dynamics
10.1 Neural Networks For Self-Driving Cars Industry Trends
10.2 Neural Networks For Self-Driving Cars Market Drivers
10.3 Neural Networks For Self-Driving Cars Market Challenges
10.4 Neural Networks For Self-Driving Cars Market Restraints
11 Key Findings in This Report
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.1.1 Research Programs/Design
12.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
12.1.2 Data Source
12.1.2.1 Secondary Sources
12.1.2.2 Primary Sources
12.2 Disclaimer
12.3 Author Details
List of Tables
Table 1. Global Neural Networks For Self-Driving Cars Market Size Growth Rate by Type (2026-2032) & (US$ Million)
Table 2. Key Players of Low Parameter Networks (MLPs, GRUs)
Table 3. Key Players of Medium Parameter Networks (CNNs, RNNs, Autoencoders)
Table 4. Key Players of High Parameter Networks (GNNs, Transformers)
Table 5. Global Neural Networks For Self-Driving Cars Market Size Growth Rate by AI Model Type (2026-2032) & (US$ Million)
Table 6. Key Players of Supervised Learning Models
Table 7. Key Players of Unsupervised Learning Models
Table 8. Global Neural Networks For Self-Driving Cars Market Size Growth by Application (2026-2032) & (US$ Million)
Table 9. Global Neural Networks For Self-Driving Cars Market Size by Region (2026-2032) & (US$ Million)
Table 10. Global Neural Networks For Self-Driving Cars Market Size by Region (2026-2032) & (US$ Million)
Table 11. Global Neural Networks For Self-Driving Cars Market Share by Region (2026-2032)
Table 12. Market Top Trends
Table 13. Market Use Cases
Table 14. Global Neural Networks For Self-Driving Cars Revenue by Players (2026 & 2032) & (US$ Million)
Table 15. Global Neural Networks For Self-Driving Cars Market Share by Players (2026 & 2032)
Table 16. Key Players Headquarters and Area Served
Table 17. Key Players Neural Networks For Self-Driving Cars Product/Solution/Service
Table 18. Date of Enter into Neural Networks For Self-Driving Cars Market
Table 19. Mergers & Acquisitions, Expansion Plans
Table 20. Global Neural Networks For Self-Driving Cars Market Size by Type (2026-2032) & (US$ Million)
Table 21. Global Neural Networks For Self-Driving Cars Market Size Share by Type (2026-2032)
Table 22. Global Neural Networks For Self-Driving Cars Market Size by Application (2026-2032) & (US$ Million)
Table 23. Global Neural Networks For Self-Driving Cars Market Size Share by Application (2026-2032)
Table 24. North America Key Players Neural Networks For Self-Driving Cars Revenue (2026 & 2032) & (US$ Million)
Table 25. North America Key Players Neural Networks For Self-Driving Cars Market Share (2026 & 2032)
Table 26. North America Neural Networks For Self-Driving Cars Market Size by Type (2026-2032) & (US$ Million)
Table 27. North America Neural Networks For Self-Driving Cars Market Share by Type (2026-2032)
Table 28. North America Neural Networks For Self-Driving Cars Market Size by Application (2026-2032) & (US$ Million)
Table 29. North America Neural Networks For Self-Driving Cars Market Share by Application (2026-2032)
Table 30. Europe Key Players Neural Networks For Self-Driving Cars Revenue (2026 & 2032) & (US$ Million)
Table 31. Europe Key Players Neural Networks For Self-Driving Cars Market Share (2026 & 2032)
Table 32. Europe Neural Networks For Self-Driving Cars Market Size by Type (2026-2032) & (US$ Million)
Table 33. Europe Neural Networks For Self-Driving Cars Market Share by Type (2026-2032)
Table 34. Europe Neural Networks For Self-Driving Cars Market Size by Application (2026-2032) & (US$ Million)
Table 35. Europe Neural Networks For Self-Driving Cars Market Share by Application (2026-2032)
Table 36. China Key Players Neural Networks For Self-Driving Cars Revenue (2026 & 2032) & (US$ Million)
Table 37. China Key Players Neural Networks For Self-Driving Cars Market Share (2026 & 2032)
Table 38. China Neural Networks For Self-Driving Cars Market Size by Type (2026-2032) & (US$ Million)
Table 39. China Neural Networks For Self-Driving Cars Market Share by Type (2026-2032)
Table 40. China Neural Networks For Self-Driving Cars Market Size by Application (2026-2032) & (US$ Million)
Table 41. China Neural Networks For Self-Driving Cars Market Share by Application (2026-2032)
Table 42. Key Players in Japan
Table 43. Key Players in Southeast Asia
Table 44. Key Players in India
Table 45. Key Players in South America
Table 46. Waymo Company Details
Table 47. Waymo Description and Business Overview
Table 48. Waymo Neural Networks For Self-Driving Cars Product
Table 49. Waymo Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 50. Waymo Recent Development
Table 51. Tesla Company Details
Table 52. Tesla Description and Business Overview
Table 53. Tesla Neural Networks For Self-Driving Cars Product
Table 54. Tesla Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 55. Tesla Recent Development
Table 56. NVIDIA AI Platform Company Details
Table 57. NVIDIA AI Platform Description and Business Overview
Table 58. NVIDIA AI Platform Neural Networks For Self-Driving Cars Product
Table 59. NVIDIA AI Platform Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 60. NVIDIA AI Platform Recent Development
Table 61. Motional Company Details
Table 62. Motional Description and Business Overview
Table 63. Motional Neural Networks For Self-Driving Cars Product
Table 64. Motional Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 65. Motional Recent Development
Table 66. Wayve Company Details
Table 67. Wayve Description and Business Overview
Table 68. Wayve Neural Networks For Self-Driving Cars Product
Table 69. Wayve Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 70. Wayve Recent Development
Table 71. Pony.ai Company Details
Table 72. Pony.ai Description and Business Overview
Table 73. Pony.ai Neural Networks For Self-Driving Cars Product
Table 74. Pony.ai Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 75. Pony.ai Recent Development
Table 76. Nuro Company Details
Table 77. Nuro Description and Business Overview
Table 78. Nuro Neural Networks For Self-Driving Cars Product
Table 79. Nuro Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 80. Nuro Recent Development
Table 81. Helm.ai Company Details
Table 82. Helm.ai Description and Business Overview
Table 83. Helm.ai Neural Networks For Self-Driving Cars Product
Table 84. Helm.ai Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 85. Helm.ai Recent Development
Table 86. Aptiv Company Details
Table 87. Aptiv Description and Business Overview
Table 88. Aptiv Neural Networks For Self-Driving Cars Product
Table 89. Aptiv Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 90. Aptiv Recent Development
Table 91. Mobileye Company Details
Table 92. Mobileye Description and Business Overview
Table 93. Mobileye Neural Networks For Self-Driving Cars Product
Table 94. Mobileye Revenue in Neural Networks For Self-Driving Cars Business: 2026 & 2032
Table 95. Mobileye Recent Development
Table 96. Neural Networks For Self-Driving Cars Market Trends
Table 97. Neural Networks For Self-Driving Cars Market Drivers
Table 98. Neural Networks For Self-Driving Cars Market Challenges
Table 99. Neural Networks For Self-Driving Cars Market Restraints
Table 100. Research Programs/Design for This Report
Table 101. Key Data Information from Secondary Sources
Table 102. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Neural Networks For Self-Driving Cars Market Share by Type in 2026 & 2032
Figure 2. Low Parameter Networks (MLPs, GRUs) Features
Figure 3. Medium Parameter Networks (CNNs, RNNs, Autoencoders) Features
Figure 4. High Parameter Networks (GNNs, Transformers) Features
Figure 5. Global Neural Networks For Self-Driving Cars Market Share by AI Model Type in 2026 & 2032
Figure 6. Supervised Learning Models Features
Figure 7. Unsupervised Learning Models Features
Figure 8. Global Neural Networks For Self-Driving Cars Market Share by Application in 2026 & 2032
Figure 9. L2-3 Autonomous Driving Case Studies
Figure 10. L4 Autonomous Driving Case Studies
Figure 11. L5 Autonomous Driving Case Studies
Figure 12. Neural Networks For Self-Driving Cars Report Years Considered
Figure 13. Global Neural Networks For Self-Driving Cars Market Size and Growth Rate 2026-2032 (US$ Million)
Figure 14. Global Neural Networks For Self-Driving Cars Market Share by Region (2026-2032)
Figure 15. Global Neural Networks For Self-Driving Cars Market Size Market Share by Type (2026-2032)
Figure 16. North America Neural Networks For Self-Driving Cars Market Size 2026-2032 (US$ Million)
Figure 17. Europe Neural Networks For Self-Driving Cars Market Size 2026-2032 (US$ Million)
Figure 18. China Neural Networks For Self-Driving Cars Market Size 2026-2032 (US$ Million)
Figure 19. Neural Networks For Self-Driving Cars Market Size in Japan (2026-2032) & (US$ Million)
Figure 20. Neural Networks For Self-Driving Cars Market Size in Southeast Asia (2026-2032) & (US$ Million)
Figure 21. Neural Networks For Self-Driving Cars Market Size in India (2026-2032) & (US$ Million)
Figure 22. Neural Networks For Self-Driving Cars Market Size in South America (2026-2032) & (US$ Million)
Figure 23. Bottom-up and Top-down Approaches for This Report
Figure 24. Data Triangulation
Figure 25. Key Executives Interviewed