Touted as one of the most rapidly progressing business verticals, Artificial Intelligence in Automotive Market has been forecast to accrue highly lucrative returns over the ensuing years of (forecast timeframe). This report has been specifically formulated keeping in mind the current requirements of industry players and the potential challenges they are expected to face. Comprising an all-inclusive summary of the Component, Technology, Process, application landscape, incorporating its intricate details, the report also encompasses the competitive profiling of the leading industry contenders and the overall geographical spectrum that specifies the growth of Artificial Intelligence in Automotive Market across these regions.
AI in automotive is the application of artificial intelligence in automobiles to enhance the driving experience by advanced driving standards such as Advanced Driver Assistant Systems (ADAS) technology, blind spot alert, and adaptive cruise control. Moreover, AI facilitates various functions in autonomous vehicles such as self-parking, lane assist, and navigation by recognizing objects around vehicles in real-time.
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The geographical terrain of wind turbine market spans the major regions of North America. The report categorizes the regional spectrum into a slew of sub-domains, comprising the current market value, future valuation, and the forecast estimates, individually researched and analyzed in terms of the application.
Artificial Intelligence in Automotive Market is growing rapidly due to the emerging demand for autonomous vehicles. Autonomous vehicle configured with AI provides enhanced user experience and reduces human intervention. The AI in automotive insurance is fueling the growth of Artificial Intelligence in Automotive Market as AI helps in risk assessment in real-time as well as speeds up the process of filing claims when accidents occur.
The report enlists, in minute detail, the contribution of prominent companies toward Artificial Intelligence in Automotive Market expansion. An intensive company profiling has been provided about every leading contender, inclusive of their market presence, financials, strategic outlook, product landscape, and a SWOT analysis that serves to build a notion about the company’s growth tactics, strengths, constraints, and plausible future opportunities.
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Deep learning technology is expected to be the fastest growing segment in the Artificial Intelligence in Automotive Market as it helps in speech recognition, image processing, and data analysis in self-driving vehicles. For instance, Google is investing heavily in autonomous vehicles through the Waymo Project that uses deep learning technology to detect pedestrians in various situations.
AI in Automotive Market, By Component, 2014-2025 (USD Million)
- Von Neumann architecture
- Neuromorphic architecture
AI in Automotive Market, By Technology, 2014-2025 (USD Million)
- Computer vision
- Context awareness
- Deep learning
- Machine learning
- Natural Language Processing (NLP)
AI in Automotive Market, By Process, 2014-2025 (USD Million)
- Data mining
- Image recognition
- Signal recognition
AI in Automotive Market, By Application, 2014-2025 (USD Million)
- Human–Machine Interface (HMI)
- Semi-autonomous driving
- Autonomous vehicle
AI is rapidly adopted in automotive manufacturing as it senses the working of its human counterparts to adjust their motions accordingly to avoid injuries. For instance, in October 2018, Kia Motors in partnership with Hyundai Vest Exoskeleton (H-VEX) started developing wearable industrial robots that will protect workers and provide strength & mobility to perform tenuous jobs. In addition, AI helps in moving materials around automotive plants without human interventions and identifying objects in the path to adjust their route accordingly. The adoption of AI in automotive manufacturing is driving the growth of Artificial Intelligence in Automotive Market over the forecast period.
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The key market players of Artificial Intelligence in Automotive Market are Alphabet, Inc., Audi AG, BMW AG, Daimler AG, Didi Chuxing, Ford Motor Company, General Motors Company, Harman Industrial Industries, Inc., Honda Motor Co., Ltd., Hyundai Motor Corporation, IBM Corporation, Intel Corporation, Microsoft Corporation, Qualcomm, Inc., Tesla, Inc., Toyota Motor Corporation, Uber Technologies, Inc., Volvo Corporation, and Xilinx, Inc. These players are involved in R&D initiatives for expanding their product portfolio and developing innovative applications for safety and convenience of passengers.
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