Autonomous Vehicles - Strategic Intelligence

Autonomous Vehicles - Strategic Intelligence

Summary

Autonomous vehicles (AVs) will be a major economic driving force, with potential for new business models in ride-hailing, robotaxis, freight logistics, and more. China and the US are leading AV the tech race, with global leadership in the automotive industry at stake. Development costs for AV technology are high, but major players like Alphabet, Amazon, and Nvidia are continuing to invest, with global sales forecast to surpass 500,000 units by 2030. Incidents involving AVs,as seen with GM's Cruise, can be costly for the company and a setback the AV industry as a whole.

Autonomous vehicles will be a major economic driving force

Self-driving vehicles are already available in a limited capacity, but the potential to expand throughout all forms of future mobility is what makes autonomous vehicles (AVs) a key battleground for car manufacturers, mobility services, and tech companies.

Level 4 and 5 AVs will unlock new business models for ride-hailing, robotaxis, freight logistics, mobile retail, and services brought directly to the consumer.

AVs will also be one of the biggest tech races between economic superpowers, with China and the US leading the way. The first to secure a mature AV infrastructure would gain a huge competitive advantage, with global leadership in the automotive industry at stake.

Develop costs are high but the reward may be worth it

Autonomous vehicle technology is still in its commercial infancy, and initial estimates for robotaxis launches have been delayed year after year. Development costs can spiral quickly, while commercial returns are still some time into the future. This has led to ventures from the likes of Ford and Volkswagen being wound down. However, with continued investments from several major players such as Alphabet (Waymo), Amazon (Zoox), and Nvidia, GlobalData forecasts global sales of autonomous vehicles to surpass 500,000 units by 2030.

Setbacks are costly

Cruise, a General Motors (GM) autonomous subsidiary, was one of the leaders in our previous AV report, partly thanks to the sheer volume of autonomous driving data it has gathered in comparison to rivals. However, in October 2023, a Cruise driverless vehicle was involved in an accident with a pedestrian which led to a $1.5 million fine, a suspension of its self-driving permit in California, and the dismissal of nine company executives. In December 2024, it was announced that GM would no longer fund Cruise’s robotaxi development as it instead pivoted to autonomous systems for its personal vehicles. The incident demonstrated how precarious the progress towards Level 4 and 5 autonomy will be.

Leaders and challengers

Hardware:
Leaders: AMD, Huawei, Nvidia, Pony.ai, Qualcomm, Tesla.
Challengers: AutoX, Horizon, Zoox (Amazon).
Software:
Leaders: Apollo (Baidu), DiDi, Intel, Nvidia, Waymo, WeRide.
Challengers: Tesla, Wayve, Zoox (Amazon).
Services:
Leaders: Baidu, DiDi, Grab, Lyft, Uber.
Challengers: Alibaba, Amazon, Tesla.

Scope

  • This report provides an overview of the Autonomous Vehicles theme. The detailed value chain comprises three layers: Hardware, Software, Services. Leading and challenging vendors are identified across these segments.
  • It identifies automotive challenges, such as technology challenges (ADAS, vision and sensor systems, infrastructure) , public acceptance, commercial sustainability, local and municipal transport policy and social justice and equity on the automotive industry, addressing these challenges.
  • Several case studies are included to analyze the multiple ways companies have responded to the impact of this theme’s growth and what they are doing to grow with this theme.
Reasons to Buy
  • This report will help you to understand Autonomous Vehicles and its impact on the automotive sector.
  • Benchmark your company against your competitors and assess how companies are utilizing Autonomous Vehicles to drive revenues.
  • Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the autonomous vehicles theme.
  • Understand key industry challenges and where Autonomous Vehicles use cases are most useful.
  • Develop and design your corporate strategies through an in-house expert analysis of Autonomous Vehicles by understanding the primary ways in which this theme is impacting the industry.
  • Position yourself for future success by investing in the right Autonomous Vehicle companies.


Executive Summary
Players
Technology Briefing
History of autonomous driving
Level 4 and beyond
Sensor suite
Trends
Technology trends
Macroeconomic trends
Regulatory trends
Industry Analysis
Market size and growth forecasts
Global AV outlook
Regional AV forecast
AV level evolution for passenger cars
Industry drivers
Safety at the heart of autonomous vehicle design
A geopolitical race to secure the next economic driving force
An ascendant China
US competitors and NHTSA influence
National security issues
Tesla’s autonomous pivot
Challenges
Technology challenges
Other challenges
Use cases
AKEEYO Introduces AI-Powered Driving Assistant
Helm.ai introduces multi-sensor generative AI transforming autonomous driving
Horizon Robotics launches full-stack autonomous driving solution
Luminar develops software for automakers
Hyundai to supply BEVs to Waymo’s self-driving fleet
Timeline
Signals
M&A trends
Venture financing trends
Patent trends
Company filing trends
Hiring trends
Value Chain
Hardware
Semiconductors and processors
Specialist autonomous modules
Vehicles
Software
Autonomous driving systems
Human machine interface
In-car services
Services
Consumer shared services
Commercial autonomous
Companies
Public companies
Private companies
Startups
Sector Scorecards
Future mobility sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Glossary
Further Reading
GlobalData reports
Our Thematic Research Methodology
About GlobalData
Contact Us
List of Tables
Table 1: Technology trends
Table 2: Macroeconomic trends
Table 3: Regulatory trends
Table 4: M&A trends
Table 5: Key venture financing deals associated with the autonomous vehicles theme in the last three years
Table 6: Public companies
Table 7: Private companies
Table 8 Startups:
Table 9: Glossary
Table 10: GlobalData reports
List of Figures
Figure 1: Who are the leading players in the autonomous vehicles theme, and where do they sit in the value chain?
Figure 2: The five levels of autonomy for self-driving cars
Figure 3: Typical suite of sensors required for self-driving cars
Figure 4: Global sales forecast for Level 4+ shared autonomous vehicles
Figure 5: Regional sales forecast for Level 4+ shared autonomous vehicles
Figure 6: L0-5 global sales forecast
Figure 7: Autonomous Vehicle Manufacturers: Miles Driven in California (2021-2023)
Figure 8: The model aims to enhance the development and validation of autonomous vehicle systems by synthesizing realistic sensor and perception data across multiple modalities and perspectives
Figure 9: The Sentinel suite from Luminar enables advanced safety and autonomous functionalities in vehicles
Figure 10: Hyundai Motor Company has announced it has entered into a multi-year strategic partnership with Waymo to build a fleet of self-driving taxis for operation in the US
Figure 11: The autonomous vehicle story
Figure 12: AVs-related venture financing deal value peaked in 2021
Figure 13: Major investors in European autonomous vehicle companies
Figure 14: Major investors in China’s autonomous vehicle companies
Figure 15: Major investors in American autonomous vehicle companies
Figure 16: AV-related patent publications peaked in 2021
Figure 17: Toyota, Ford, and Alphabet are the top AV-related patent assignees
Figure 18: AV mentions in company filings in the automotive sector have decelerated since 2021
Figure 19: AV-related active job listings in the automotive sector peaked in 2022
Figure 20: AV-related active jobs are dominated by automotive suppliers, with Forvia SE in the lead, followed by Geely Holding Group in second
Figure 21: The autonomous vehicle value chain
Figure 22: The autonomous vehicle value chain: hardware
Figure 23: The autonomous vehicle value chain: software
Figure 24: The autonomous vehicle value chain: services
Figure 25: Who does what in the future mobility space?
Figure 26: Thematic screen
Figure 27: Valuation screen
Figure 28: Risk screen
Figure 29: Our five-step approach for generating a sector scorecard

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