Automotive Artificial Intelligence Market with Technology (Machine Learning & Deep Learning, Computer Vision, and Natural Language Processing) by 2025

According to a recent report published by Allied Market Research, titled, "Automotive Artificial Intelligence Market by Component, Technology, and Application: Global Opportunity Analysis and Industry Forecast, 2017-2025," the global automotive artificial intelligence market is expected to reach at $8,887.6 million by 2025, from $445.8 million in 2017, growing at a CAGR of 45.0% from 2018 to 2025.

Artificial intelligence has been increasingly adopted by the automotive industry, which is among the major industries using AI to mimic the action of humans. Applications that incorporate AI systems in automotive are semiautonomous and autonomous vehicles. In autonomous vehicles, AI collects, processes, and chooses the specific action based on the information gathered. Semiautonomous and autonomous vehicles use several advanced tools such as long-range radar, LIDAR, cameras, short/medium radar, and ultrasound to gather information and understand the world around them. After collection of data through different tools, AI analyzes the situation through its technologies such as machine & deep learning, natural language processing, and computer vision. Artificial intelligence has several applications for these vehicles such as, incorporates speech recognition for advanced communication with passengers, directs vehicles towards refueling station or recharge station when it is running low on fuel and Analyzes less populated and congested roads among others.

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At present, North America dominates the automotive AI market. In 2017, China is expected to register the highest growth in Asia-Pacific. Similarly, the UK is expected to lead the overall market in Europe in 2017. In the same year, the U.S. is estimated to dominate the North American market.

The growth of the automotive artificial intelligence market is driven by rise in demand for autonomous vehicles and increase in preference for enhanced user experience & convenience features. However, the threat of hackers and rise in cybercrime are expected to restrain the market growth. On the contrary, rise in demand for the premium vehicle segment is anticipated to provide lucrative growth opportunities for the automotive AI market.

In 2017, based on component, the hardware segment is anticipated to dominate the global automotive artificial intelligence market, in terms of revenue. However, based on application, semiautonomous dominated the global market in the same year.

Key Findings Of The Automotive Artificial Intelligence Market Study
• Based on component, the hardware segment is anticipated to dominate the global automotive artificial intelligence market in terms of revenue. However, based on application, semiautonomous dominated the market in 2017.
• In 2017, the machine learning & deep learning based on the technology segment accounted for the highest revenue.
• North America held the majority of market share in 2017.
• LAMEA is anticipated to exhibit the highest CAGR during the forecast period.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

This release was published on openPR.