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The applied AI in autonomous vehicles market is forecasted to grow by USD 2.86 billion during 2024-2029, accelerating at a CAGR of 23% during the forecast period. The report on the applied AI in autonomous vehicles market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by pursuit of enhanced safety and reduction of human error, compelling economic incentives in commercial logistics, and accelerated pace of innovation in AI and computing hardware.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The applied AI in autonomous vehicles market is segmented as below:
By Component
- Hardware
- Software
- Services
By Vehicle Type
- Passenger vehicles
- Commercial vehicles
- Special purpose vehicles
By Technology
- Deep learning
- Sensor fusion algorithms
- Machine learning
- Reinforcement learning
- Others
By Geographical Landscape
- North America
- Europe
- APAC
- Middle East and Africa
- South America
The report on the applied AI in autonomous vehicles market covers the following areas:
- Applied AI In Autonomous Vehicles Market sizing
- Applied AI In Autonomous Vehicles Market forecast
- Applied AI In Autonomous Vehicles Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Five Forces Analysis
7 Market Segmentation by Component
8 Market Segmentation by Vehicle Type
9 Market Segmentation by Technology
10 Customer Landscape
11 Geographic Landscape
12 Drivers, Challenges, and Opportunity/Restraints
13 Competitive Landscape
14 Competitive Analysis
15 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global applied ai in autonomous vehicles market: Aeva Inc., Aptiv Plc, Aurora Innovation Inc., AutoX Inc., Baidu Inc., Comma.ai Inc., Cruise LLC, DENSO Corp., Einride AB, HERE Global BV, Huawei Technologies Co. Ltd., Mobileye Technologies Ltd., Motional Inc., Nuro Inc., NVIDIA Corp., Pony.ai, Tesla Inc., Velodyne Lidar Inc., Waymo LLC, and Zoox.Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is consolidation towards software defined vehicles and centralized compute architectures."
According to the report, one of the major drivers for this market is the pursuit of enhanced safety and reduction of human error.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Aeva Inc.
- Aptiv Plc
- Aurora Innovation Inc.
- AutoX Inc.
- Baidu Inc.
- Comma.ai Inc.
- Cruise LLC
- DENSO Corp.
- Einride AB
- HERE Global BV
- Huawei Technologies Co. Ltd.
- Mobileye Technologies Ltd.
- Motional Inc.
- Nuro Inc.
- NVIDIA Corp.
- Pony.ai
- Tesla Inc.
- Velodyne Lidar Inc.
- Waymo LLC
- Zoox