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The generative ai in automotive market is forecasted to grow by USD 1.50 billion during 2024-2029, accelerating at a CAGR of 31.4% during the forecast period. The report on the generative ai in automotive 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 imperative to accelerate autonomous vehicle development and validation, intensifying demand for an enhanced in-vehicle user experience, and pressure to optimize design and manufacturing for cost and time efficiency.
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 generative ai in automotive market is segmented as below:
By Technology
- Machine learning
- NLP
- Computer vision
By Application
- Autonomous driving systems
- Manufacturing optimization
- Vehicle design
- Predictive maintenance
- Customer experience
By Type
- Passenger vehicle
- Commercial vehicle
By Geographical Landscape
- North America
- APAC
- Europe
- South America
- Middle East and Africa
The report on the generative ai in automotive market covers the following areas:
- Generative AI In Automotive Market sizing
- Generative AI In Automotive Market forecast
- Generative AI In Automotive 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 Five Forces Analysis
6 Market Segmentation by Technology
7 Market Segmentation by Application
8 Market Segmentation by Type
9 Customer Landscape
10 Geographic Landscape
11 Drivers, Challenges, and Opportunity/Restraints
12 Competitive Landscape
13 Competitive Analysis
14 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global generative AI in automotive market: Affectiva Inc., Altair Engineering Inc., Applied Intuition Inc., Autodesk Inc., Bayerische Motoren Werke AG, Cerence Inc., Cognata, Ford Motor Co., General Motors Co., Hyundai Motor Group, NVIDIA Corp., ParaMatters Inc., Siemens AG, SoundHound AI Inc., Torc Robotics Inc., Waabi, and Wayve Technologies Ltd..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is proliferation of advanced conversational AI in vehicle cockpit."
According to the report, one of the major drivers for this market is the imperative to accelerate autonomous vehicle development and validation.
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:
- Affectiva Inc.
- Altair Engineering Inc.
- Applied Intuition Inc.
- Autodesk Inc.
- Bayerische Motoren Werke AG
- Cerence Inc.
- Cognata
- Ford Motor Co.
- General Motors Co.
- Hyundai Motor Group
- NVIDIA Corp.
- ParaMatters Inc.
- Siemens AG
- SoundHound AI Inc.
- Torc Robotics Inc.
- Waabi
- Wayve Technologies Ltd.
