The “Global Artificial Intelligence For Automotive Market Report 2026,” offers a clear understanding of the subject matter. The report has been gathered using principal and subordinate research methodologies. Both these methods are directed towards cooperating accurate and meticulous data concerning the market dynamics, historical events, and the current market landscape. Additionally, the report also includes a SWOT analysis that concludes the strengths, weaknesses, opportunities, and threats impacting the segments of the overall market.
Global Artificial Intelligence For Automotive Market size exceeded USD 1 billion in 2019 and is estimated to grow at over 35% CAGR between 2020 and 2026.
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Top Key Players in the Global Artificial Intelligence For Automotive Market: AImotive, Argo AI, Astute Solutions, Audi, BMW.
Market segment by Type, the product can be split into
Market segment by Application, split into
Driver and Passenger Personalization and Enhancement
Enhanced Ability to Capture Data
The report offers in-depth assessment of the growth and other aspects of the Artificial Intelligence For Automotive market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.
In July 2019, Intel Corporation launched its deep-learning chip system “Pohoiki Beach” which is capable of crunching complex AI algorithms 10,000 times more efficiently up to 1,000 times faster than regular CPUs. This system is made up of 64 Loihi ‘neuromorphic’ deep-learning chips which can be used in autonomous vehicles.
In January 2019, Qualcomm Technologies, Inc. has launched its 3rd Generation Qualcomm Snapdragon Automotive Cockpit Platforms. These platforms are based on artificial intelligence (AI) which will enhance in-vehicle experience by supporting the higher levels of computing required for semi-autonomous and autonomous vehicles.
In September 2019, Israeli high-tech firm Cortica enters into partnership with Toyota and BMW. The companies will share their expertise in the field of artificial intelligence (AI) for autonomous driving.
In January 2019, Microsoft Corporation enters into partnership with LG Electronics. Microsoft will provide its Azure Cloud and artificial intelligence technologies to enhance LG’s Advanced Driver Assistance Systems (ADAS), Driver-Status Monitoring Camera (DSM) and Multi-Purpose Front Camera products.
In September 2019, Volkswagen and Ford announced the expansion of their alliance in the field of artificial intelligence and autonomous vehicle. The companies will be investing in Argo AI the autonomous vehicle technology platform company. Volkswagen and Ford are planning to commercially deploy in the U.S. and Europe.
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Influence of the Artificial Intelligence For Automotive Market report:
-Comprehensive assessment of all opportunities and risk in the Artificial Intelligence For Automotive Market.
-Artificial Intelligence For Automotive Market recent innovations and major events.
-Detailed study of business strategies for growth of the Artificial Intelligence For Automotive Market -leading players.
-Conclusive study about the growth plot of Artificial Intelligence For Automotive Market for forthcoming years.
-In-depth understanding of Artificial Intelligence For Automotive Market -particular drivers, constraints and major micro markets.
-Favorable impression inside vital technological and market latest trends striking the Artificial Intelligence For Automotive Market.
Global Artificial Intelligence For Automotive Market report has been compiled through extensive primary research (through analytical research, market survey and observations) and secondary research. The Artificial Intelligence For Automotive Market report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts, key vendors, business news, row material supplier, regional clients, company journals, and market participants across key points in the industry’s value chain.
The market is derived through extensive use of secondary, primary, in-house research followed by expert validation and third party perspective, such as, analyst reports of investment banks. The secondary research is the primary base of our study wherein we conducted extensive data mining, referring to verified data sources, such as, white papers, government and regulatory published articles, technical journals, trade magazines, and paid data sources.
For forecasting, regional demand & supply factors, recent investments, market dynamics including technical growth scenario, consumer behavior, and end use trends and dynamics, and production capacity were taken into consideration. Different weightages have been assigned to these parameters and quantified their market impacts using the weighted average analysis to derive the market growth rate.
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