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Artificial Intelligence In Automotive Market Report 2024-2033 : Industry Analysis, Size, Share, Growth And Forecast | Alphabet Inc., Toyota Motor Corporation , Microsoft Corporation, Ford Motor Company
"The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.The Business Research Company presents an extensive market research report on the Artificial Intelligence In Automotive Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.
Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.
Market Sizing:
The artificial intelligence in automotive market size has grown exponentially in recent years. It will grow from $6.7 billion in 2023 to $10.88 billion in 2024 at a compound annual growth rate (CAGR) of 62.3%. The growth in the historic period can be attributed to rising demand for enhanced user experience and convenience features, increasing awareness around these vehicles, growing adoption of ai in automotive supply chain, growth in demand for autonomous vehicle, increase in the use of manufacturing a car.
The artificial intelligence in automotive market size is expected to see exponential growth in the next few years. It will grow to $64.2 billion in 2028 at a compound annual growth rate (CAGR) of 55.9%. The growth in the forecast period can be attributed to autonomous driving development, increasing demand for connected cars, rising focus on vehicle safety, demand for in-car personalization, growing emphasis on energy efficiency, rapid advancements in computer vision. Major trends in the forecast period include autonomous driving advancements, personalized user experiences, predictive maintenance, enhanced vehicle connectivity, natural language processing (nlp) integration.
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Key Market Players:
Major companies operating in the artificial intelligence in automotive market report are Alphabet Inc., Toyota Motor Corporation , Microsoft Corporation, Ford Motor Company, General Motors Company, Bayerische Motoren Werke AG, Honda Motor Co. Ltd., Tencent Holdings Ltd., Tesla Inc., Intel Corporation, The International Business Machines Corporation (IBM), Audi AG, Volvo Cars, AB Volvo, Qualcomm Technologies Inc., The Mercedes-Benz Group AG, Mitsubishi Electric , Uber Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Harman International Industries Inc., Waymo LLC, Xilinx Inc., Argo AI, Cognata ltd
Market Drivers:
The growing need for autonomous vehicles is expected to propel the growth of artificial intelligence in the automotive market going forward. An autonomous vehicle is a vehicle capable of operating itself and performing necessary functions without any human intervention through its ability to sense its surroundings. AI in automotive is being used to develop autonomous driving systems that can sense and interpret the environment, make decisions, and control the vehicle without human intervention. For instance, in December 2022, according to the National Highway Traffic Safety Administration, a US-based government agency, there will be 3.5 million self-driving vehicles on U.S. roads by 2025 and 4.5 million by 2030. Therefore, the growing need for autonomous vehicles is driving the growth of artificial intelligence in the automotive market.
Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-automotive-global-market-report
The artificial intelligence in automotive market covered in this report is segmented -
1) By Component: Hardware, Software, Services
2) By Process: Data Mining, Image Or Signal Recognition
3) By Technology: Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing (NLP)
4) By Application: Semi-autonomous vehicles, Fully-autonomous Vehicles
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