Insights on the Automotive Artificial Intelligence Global Market to 2026 - Key Forecasts & Opportunities - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Global Automotive Artificial Intelligence Market By Component (Hardware, Software, Service), By Technology, By Process, By Application, By Vehicle Type, By Demand Category, By Company, By Region, Forecast & Opportunities, 2026" report has been added to ResearchAndMarkets.com's offering.

The Global Automotive Artificial Intelligence Market is expected to grow at a steady rate during the forecast period. The Global Automotive Artificial Intelligence Market is driven by the growing adoption of advanced automotive solutions such as advanced driver assistance system (ADAS), adaptive cruise control (ACC), blind sport alert, among others by different OEMs. Additionally, government regulations to improve the safety in vehicles while assuring environmental sustainability is further expected to propel the market. Furthermore, ongoing technological advancements and new product launches by the major OEMs operating in the market is expected to create lucrative opportunities for the market growth through 2026. However, lack of proper automotive IT infrastructure especially in the emerging countries can hamper the market growth during the forecast period. Besides, high procurement and operational costs further restricts the market growth over the next few years.

The Global Automotive Artificial Intelligence Market is segmented based on component, technology, process, application, vehicle type, demand category, company and region. Based on technology, the market can be categorized into deep learning, machine learning, context awareness, computer vision, natural language processing and others. The deep learning segment is expected to register the highest CAGR in the market during the forecast period on account of the increasing popularity and adoption of self-driving cars.

Additionally, the major players operating in the market are also investing a lot in the development of self-driving cars. While the computer vision segment is also expected to grow significantly on account of its use in autonomous vehicles for signal recognition, image recognition, driver monitoring, among others. Based on process, the market can be fragmented into signal recognition, image recognition and data mining. The data mining segment is expected to dominate the market owing to the large volumes of data being generated and processed in autonomous and semi-autonomous vehicles. Based on application, the market can be grouped into human-machine interface, semi-autonomous driving and autonomous driving. The human-machine interface segment is expected to dominate the market owing to the growing need for providing enhanced customer experience.

Companies Mentioned

• NVIDIA Corporation
• Alphabet Inc.
• Intel Corporation
• IBM Corporation
• Microsoft Corporation
• Harman International Industries Inc.
• Xilinx Inc.
• Qualcomm Inc.
• Tesla Inc.
• Volvo Car Corporation

Objective of the Study:

• To analyze and estimate the market size of the Global Automotive Artificial Intelligence Market from 2016 to 2019.
• To estimate and forecast the market size of the Global Automotive Artificial Intelligence Market from 2020 to 2026 and growth rate until 2026.
• To classify and forecast the Global Automotive Artificial Intelligence Market based on component, technology, process, application, vehicle type, demand category, company and regional distribution.
• To identify dominant region or segment in the Global Automotive Artificial Intelligence Market.
• To identify drivers and challenges for the Global Automotive Artificial Intelligence Market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in the Global Automotive Artificial Intelligence Market.
• To identify and analyze the profile of leading players operating in the Global Automotive Artificial Intelligence Market.
• To identify key sustainable strategies adopted by market players in the Global Automotive Artificial Intelligence Market.

Key Topics Covered:

1. Product Overview

2. Research Methodology

3. Impact of COVID-19 on Global Automotive Artificial Intelligence

4. Executive Summary

5. Voice of Customer

6. Global Automotive Artificial Intelligence Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Component (Hardware, Software, Service)

6.2.2. By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing, Others)

6.2.3. By Process (Signal Recognition, Image Recognition, Data Mining)

6.2.4. By Application (Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving)

6.2.5. By Vehicle Type (Passenger Cars v/s Commercial Vehicles)

6.2.6. By Demand Category (OEM v/s Aftermarket)

6.2.7. By Company (2020)

6.2.8. By Region

6.3. Product Market Map

7. Asia-Pacific Automotive Artificial Intelligence Market Outlook

8. Europe Automotive Artificial Intelligence Market Outlook

9. North America Automotive Artificial Intelligence Market Outlook

10. South America Automotive Artificial Intelligence Market Outlook

11. Middle East and Africa Automotive Artificial Intelligence Market Outlook

12. Market Dynamics

12.1. Drivers

12.2. Challenges

13. Market Trends & Developments

14. Competitive Landscape

15. Strategic Recommendations

16. About the Publisher & Disclaimer

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