AI-automated vehicles have multiple sensor points that regulate the overall performance of the vehicle. With the help of AI in vehicles, manufacturers can also directly spot the performance of the vehicle and reach out for improvement. This reduces the manpower and time investment of manufacturers.
The global market for In-vehicle AI Robot is estimated to increase from US$ million in 2021 to reach US$ million by 2028, exhibiting a CAGR of % during 2022-2028. Keeping in mind the uncertainties of COVID-19 and Russia-Ukraine War, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.
The APAC In-vehicle AI Robot market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The United States In-vehicle AI Robot market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The Europe In-vehicle AI Robot market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The China In-vehicle AI Robot market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
Global key In-vehicle AI Robot players cover Tesla, Porsche, Motional, Refraction AI and Optimus Ride, etc. In terms of revenue, the global largest two companies occupy a share nearly % in 2021.
This latest report provides a deep insight into the global In-vehicle AI Robot market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, value chain analysis, etc.
This report aims to provide a comprehensive picture of the global In-vehicle AI Robot market, with both quantitative and qualitative data, to help readers understand how the In-vehicle AI Robot market scenario changed across the globe during the pandemic and Russia-Ukraine War.
The base year considered for analyses is 2021, while the market estimates and forecasts are given from 2022 to 2028. The market estimates are provided in terms of revenue in USD millions and volume in K Units.
The study segments the In-vehicle AI Robot market and forecasts the market size By Autonomous Level (Level 2 & 3 and Level 4 & 5,), by Application (Passenger Cars and Commercial Vehicles.), and region (APAC, Americas, Europe, and Middle East & Africa).
Segmentation by autonomous level
Level 2 & 3
Level 4 & 5
Segmentation by application
Segmentation by region
Middle East & Africa
Major companies covered
Chapter 1: Scope of In-vehicle AI Robot, Research Methodology, etc.
Chapter 2: Executive Summary, global In-vehicle AI Robot market size (sales and revenue) and CAGR, In-vehicle AI Robot market size by region, by autonomous level, by application, historical data from 2017 to 2022, and forecast to 2028.
Chapter 3: In-vehicle AI Robot sales, revenue, average price, global market share, and industry ranking by company, 2017-2022
Chapter 4: Global In-vehicle AI Robot sales and revenue by region and by country. Country specific data and market value analysis for the U.S., Canada, Europe, China, Japan, South Korea, Southeast Asia, India, Latin America and Middle East & Africa.
Chapter 5, 6, 7, 8: Americas, APAC, Europe, Middle East & Africa, sales segment by country, by autonomous level, and autonomous level.
Chapter 9: Analysis of the current market trends, market forecast, opportunities and economic trends that are affecting the future marketplace
Chapter 10: Manufacturing cost structure analysis
Chapter 11: Sales channel, distributors, and customers
Chapter 12: Global In-vehicle AI Robot market size forecast by region, by country, by autonomous level, and application.
Chapter 13: Comprehensive company profiles of the leading players, including Tesla, Porsche, Motional, Refraction AI, Optimus Ride, Waymo, AutoX, Bosch and Morris Garage, etc.
Chapter 14: Research Findings and Conclusion