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Automotive Artificial Intelligence Market
Automotive Artificial Intelligence Market Market Research Report – Segmented By Offering (Hardware, Software), By Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness, Natural Language Processing), By Process (Signal Recognition, Image Recognition, Data Mining), By Application (Human-machine Interface, Semi-autonomous Driving, Autonomous Vehicle) & Region (North America, Europe, Asia-Pacific, Middle-East & Africa, Latin America) – Analysis on Size, Share, Trends, COVID-19 Impact, Competitive Analysis, Growth Opportunities and Key Insights from 2019 to 2027.
Table of contents
- Executive Summary
- Market Overview
- Industry Analysis
- Market Analysis
- By Offering
- By Technology
- By Process
- By Application
- North America
- Europe
- Asia-Pacific
- Middle-East & Africa
- Latin America
- Company Analysis
- Competitive Analysis
- Research Methodology
- Appendix
Executive Summary
Automotive Artificial Intelligence Market from Consainsights analyses the Automotive Artificial Intelligence Market Market in the Technology & Media industry over the forecast period to 2027.
Automotive Artificial Intelligence Market research report from Consainsights outlines the detailed strategic analysis, trends, market opportunities, growth prospects, industry and market challenges and sustainable solutions to sustain in the competitive environment.
Automotive Artificial Intelligence Market segmentation includes Offering, Technology, Process, Application and Geography.
All segmentations encompasses the key innovations and micro & macro trends, companies/manufacturers operating in this space along with their usage and penetration with respect to the wide range of End Users. Additionally, market sizing information along with the key factors such as market drivers, restraints, opportunities and challenges which are likely to be influencing the market growth are outlined in this report.
Based on the Offering, the Automotive Artificial Intelligence Market analysis covers Hardware, Software.
Based on the Technology, the Automotive Artificial Intelligence Market analysis covers Deep Learning, Machine Learning, Computer Vision, Context Awareness, Natural Language Processing.
Based on the Process, the Automotive Artificial Intelligence Market analysis covers Signal Recognition, Image Recognition, Data Mining.
Based on the Application, the Automotive Artificial Intelligence Market analysis covers Human-machine Interface, Semi-autonomous Driving, Autonomous Vehicle.
Key companies operating in the market include Nvidia Corporation, Alphabet Inc., Intel Corporation, Microsoft Corporation, International Business Machines Corporation, Harman International Industries, Inc., Xilinx Inc., Qualcomm Inc., Tesla, Inc., Volvo Car Corporation, Bayerische Motoren Werke Ag, Audi Ag, General Motors Company, Ford Motor Company, Toyota Motor Corporation, Honda Motor Co. Ltd., Hyundai Motor Company, Daimler Ag, Uber Technologies, Inc., Didi Chuxing, Start-up Ecosystem and so on. This report covers the detailed analysis of the company profiles such as business segments, product portfolio, key brand insights and growth strategies adopted, company SWOT and Strategy analysis along with the financial analysis and analyst insights on the key companies operating in this market.
Moreover, the competitive analysis includes the companies deals such as Mergers, Acquisitions, Partnerships and so on along with the expansion areas focusing on the additional geographies, future insights for success and market share analysis. Major players strategies include the launch of the innovative product lines along with the emphasis on the partnerships and acquisitions to standardize their market share in the market space.
Market Research methodology includes the triangulation of the data from the data sources such as Primary Market Research approach and Secondary Market Research Approach along with the data from the trade bodies and industry standard publications and data sources. Primary inputs from the industry experts and the market respondents from the respective industries to obtain very critical information to assess the future growth prospects of the market. The final data is triangulated and thoroughly validated considering all the data sources using the bottom-up and the top-down approaches to estimate the market sizing of the individual segments.
Market Overview
Definition & Scope
- The base currency considered was the US Dollar (USD). Conversion of other currencies to USD was considered on the basis of the average exchange rate for the respective review-period years. The exchange rate conversion for forecast period was determined according to the base year’s conversion rates.
- The base year was identified based on the availability of annual reports and secondary information. The base year considered for this study is 2027.
- The review period considered for this study is from 2018-2027. The CAGR is for the forecast period, 2022-2027.
- Market size estimations for the forecast years were in real terms. Inflation is not part of the pricing, and the average selling price (ASP) was kept constant throughout the forecast period for each country.
- Distribution of primary interviews conducted was based on the regional share of the market and the presence of key players in each region.
- As a result of data triangulation through multiple methodologies and approaches, the weighted averages of resulting estimates were considered to be the final values.
By Offering
Introduction
By By Offering, The Automotive Artificial Intelligence Market analysis covers Hardware, Software.
Hardware
The Hardware segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Software
The Software segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
By Technology
- Introduction
- Deep Learning
- Machine Learning
- Computer Vision
- Context Awareness
- Natural Language Processing
Introduction
By By Technology, The Automotive Artificial Intelligence Market analysis covers Deep Learning, Machine Learning, Computer Vision, Context Awareness, Natural Language Processing.
Deep Learning
The Deep Learning segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Machine Learning
The Machine Learning segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Computer Vision
The Computer Vision segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Context Awareness
The Context Awareness segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Natural Language Processing
The Natural Language Processing segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
By Process
Introduction
By By Process, The Automotive Artificial Intelligence Market analysis covers Signal Recognition, Image Recognition, Data Mining.
Signal Recognition
The Signal Recognition segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Image Recognition
The Image Recognition segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Data Mining
The Data Mining segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
By Application
Introduction
By By Application, The Automotive Artificial Intelligence Market analysis covers Human-machine Interface, Semi-autonomous Driving, Autonomous Vehicle.
Human-machine Interface
The Human-machine Interface segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Semi-autonomous Driving
The Semi-autonomous Driving segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Autonomous Vehicle
The Autonomous Vehicle segment market was valued at US$ XX Mn in 2019 and grown at XX% CAGR over the historic years (2019 - 2027) to reach US$ XX Mn and is projected to grow at XX% CAGR over the forecast period to reach US$ XX Mn by 2027. The market represented the US$ XX Mn opportunity over 2019 - 2027 and estimated to create US$ XX Mn opportunity over 2019 - 2027.
Company Analysis
- Introduction
- Nvidia Corporation
- Alphabet Inc.
- Intel Corporation
- Microsoft Corporation
- International Business Machines Corporation
- Harman International Industries, Inc.
- Xilinx Inc.
- Qualcomm Inc.
- Tesla, Inc.
- Volvo Car Corporation
- Bayerische Motoren Werke Ag
- Audi Ag
- General Motors Company
- Ford Motor Company
- Toyota Motor Corporation
- Honda Motor Co. Ltd.
- Hyundai Motor Company
- Daimler Ag
- Uber Technologies, Inc.
- Didi Chuxing
- Start-up Ecosystem
Introduction
Key companies operating in the market include Nvidia Corporation, Alphabet Inc., Intel Corporation, Microsoft Corporation, International Business Machines Corporation, Harman International Industries, Inc., Xilinx Inc., Qualcomm Inc., Tesla, Inc., Volvo Car Corporation, Bayerische Motoren Werke Ag, Audi Ag, General Motors Company, Ford Motor Company, Toyota Motor Corporation, Honda Motor Co. Ltd., Hyundai Motor Company, Daimler Ag, Uber Technologies, Inc., Didi Chuxing, Start-up Ecosystem and so on. This report covers the detailed analysis of the company profiles such as business segments, product portfolio, key brand insights and growth strategies adopted, company SWOT and Strategy analysis along with the financial analysis and analyst insights on the key companies operating in this market.