Global Automotive Artificial Intelligence (AI) Market 2018-2022

Overview of the global automotive artificial intelligence (AI) market

Technavio’s market research analysts have identified the rising penetration of ADAS as one of the primary factors that will trigger the growth of the automotive artificial intelligence market in the coming years. ADAS is recognized as the base of advanced automotive AI. ADAS utilizes conditional AI that consists of few parameters for the vehicle’s control unit and aids in taking a specified action. Customers prefer vehicles with high safety devices, which is offered by ADAS feature conditional artificial intelligence including the automatic emergency braking, blind-spot detection, lean-departure warning, driver drowsiness awareness systems and bird's eye display. The integration of ADAS helps the driver to ease the control over the vehicle to the central control unit and alert the driver whenever required. Our market research analysts estimate that the automotive artificial intelligence market will grow steadily at a CAGR of more than 37% by 2022.

The development of brain-to-vehicle technology is one of the key trends in the automotive artificial intelligence market. Nissan is focusing on developing a technology that has the potential to capture driver’s commands by interpreting brain signals. To anticipate the driver's action, this technology measures the brain activity and it detects the driver’s problem and initiates action. To anticipate the driver’s brain activity, the driver needs to wear a cap for mapping brain activity. The AI has the potential to understand the drivers driving style and copy the same to enhance the driver’s confidence with the machine.

Companies covered

The automotive artificial intelligence market appears to be concentrated due to the presence of few vendors. This industry research report offers information about the competitive environment among companies in this market and offers an analysis of the companies and their products. Moreover, our analysts also provide information about key areas the players currently focus on and strategies they follow to sustain the competition.

The report includes an analysis of a number of companies in this marketspace including -

• Alphabet
• Bosch
• Delphi*
• HARMAN International
• NVIDIA
• TomTom

Segmentation by application and analysis of the automotive AI market

• HMI
• ADAS applications
• Autonomous vehicle applications

The ADAS application segment accounted for the major share of the automotive AI market during 2017. ​​Our analysts predicted that this segment will continue to grow steadily due to the increased adoption of this technology in the automotive industry.

Geographical segmentation and analysis of the automotive AI market

• Americas
• APAC
• EMEA

EMEA accounted for the maximum shares of the automotive AI market during 2017. Our analysts have predicted that EMEA will witness steady growth in the next five years as most of the major car industries are present in this region.

Key questions answered in the report include

• What will the market size and the growth rate be in 2022?
• What are the key factors driving the global automotive artificial intelligence (AI) market?
• What are the key market trends impacting the growth of the global automotive artificial intelligence (AI) market?
• What are the challenges to market growth?
• Who are the key vendors in the global automotive artificial intelligence (AI) market?
• What are the market opportunities and threats faced by the vendors in the global automotive artificial intelligence (AI) market?
• Trending factors influencing the market shares of the Americas, APAC, and EMEA.
• What are the key outcomes of the five forces analysis of the global automotive artificial intelligence (AI) market?

Technavio also offers customization on reports based on specific client requirement.