Eternity Insights has published a new study on Global AI In Automotive Market focusing on key segments By Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing), By Offering (Hardware, Software, Service), By Process (Signal Recognition, Image Recognition, Voice Recognition, Data Mining), By Application (Autonomous Driving, Human–Machine Interface, Semi-autonomous Driving), By Component (Graphics processing unit (GPU), Field Programmable Gate Array (FPGA), Microprocessors (Incl. ASIC), Image Sensors, Memory and Storage systems, Biometric Scanners, Others), and by region. This deep dive research report highlights the market and competitive intelligence across the key segments of the market. The report also considers the impact of COVID-19 on the global AI In Automotive Market.
The report considers 2019-2022 as historic period, 2023 as base year, and 2024-2032 as forecast period. The report includes quantitative analysis of the market supported by the market drivers, challenges, and trends to accurately map the market scenario and competition. Moreover, key insights related to market having direct impact on the market will also be covered.
AI In Automotive Market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.
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By Technology
By Offering
By Process
By Application
By Component
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Geographically, the market is categorized into five regions as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America region dominates the global AI In Automotive market in terms of demand generation. The AI In Automotive market in Asia Pacific region is expected to grow at significantly high growth rate. The regional market is further sub-segmented and analyzed at granular level across key countries. The report will include market size and forecast for AI In Automotive market for below listed coun-tries across each region.
North America (U.S. and Canada), Europe (Germany, France, Italy, UK, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific region); Latin America (Brazil, Mexico, and rest of the Latin America); Middle East and Africa (GCC, South Africa, and Rest of the Middle East and Africa).
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The global AI In Automotive market analysis report covers detailed analysis of competitive scenario across globe. The report includes profiles of leading players covering below details
Report Attributes | Details |
The market size value in 2022 | USD XX.XX Million |
CAGR (2022 - 2032) | XX.XX % |
The Revenue forecast in 2032 | USD XX.XX Million |
Base year for estimation | 2023 |
Historical data | 2019-2022 |
Forecast period | 2024-2032 |
Quantitative units |
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Report Coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments Covered | By Type Outlook, Application Outlook, Regional Outlook |
By Technology Outlook | Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing |
By Application Outlook | Autonomous Driving, Human Machine Interface, Semi-autonomous Driving, Other |
Regional scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Country scope | U.S., Canada, U.K., Germany, France, BENELUX, China, India, Japan, South Korea, Brazil, Saudi Arabia, UAE, Turkey |
Key companies profiled | BMW AG, AUDI AG, Tesla Inc, Uber Technologies, Volvo Car Corporation, Honda Motors, Ford Motor Company, NVIDIA Corporation, Tencent, Microsoft, Valeo, Waymo, Visteon, Mobileye (Intel), Cruise (GM), Continental |
Customization Available | Yes, the report can be tailored to meet your specific requirements. |
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