Machine learning in the automotive industry has a remarkable ability to bring out hidden relationships among data sets and make predictions.

Scope of the Report:
The global Machine Learning in Automobile market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Machine Learning in Automobile.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Machine Learning in Automobile market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Machine Learning in Automobile market by product type and applications/end industries.

Market Segment by Companies, this report covers
Allerin
Intellias Ltd
NVIDIA Corporation
Xevo
Kopernikus Automotive
Blippar
Alphabet Inc
Intel
IBM
Microsoft

Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning

Market Segment by Applications, can be divided into
AI Cloud Services
Automotive Insurance
Car Manufacturing
Driver Monitoring
Others