Machine learning in the automotive industry has a remarkable ability to bring out hidden relationships among data sets and make predictions.
Market Analysis and Insights: Global Machine Learning in Automobile Market
The global Machine Learning in Automobile market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Covers:
This report presents an overview of global market for Machine Learning in Automobile market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Machine Learning in Automobile, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning in Automobile, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Machine Learning in Automobile revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Machine Learning in Automobile market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Machine Learning in Automobile revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation
By Company
Allerin
Intellias Ltd
NVIDIA Corporation
Xevo
Kopernikus Automotive
Blippar
Alphabet Inc
Intel
IBM
Microsoft
Segment by Type
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
Segment by Application
AI Cloud Services
Automotive Insurance
Car Manufacturing
Driver Monitoring
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Machine Learning in Automobile in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning in Automobile companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learning in Automobile revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Automobile Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Supervised Learning
1.2.3 Unsupervised Learning
1.2.4 Semi Supervised Learning
1.2.5 Reinforced Leaning
1.3 Market by Application
1.3.1 Global Machine Learning in Automobile Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 AI Cloud Services
1.3.3 Automotive Insurance
1.3.4 Car Manufacturing
1.3.5 Driver Monitoring
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Automobile Market Perspective (2019-2030)
2.2 Global Machine Learning in Automobile Growth Trends by Region
2.2.1 Machine Learning in Automobile Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Automobile Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Automobile Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning in Automobile Market Dynamics
2.3.1 Machine Learning in Automobile Industry Trends
2.3.2 Machine Learning in Automobile Market Drivers
2.3.3 Machine Learning in Automobile Market Challenges
2.3.4 Machine Learning in Automobile Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Machine Learning in Automobile by Players
3.1.1 Global Machine Learning in Automobile Revenue by Players (2019-2024)
3.1.2 Global Machine Learning in Automobile Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Automobile Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Machine Learning in Automobile, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Machine Learning in Automobile Market Concentration Ratio
3.4.1 Global Machine Learning in Automobile Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Automobile Revenue in 2023
3.5 Global Key Players of Machine Learning in Automobile Head office and Area Served
3.6 Global Key Players of Machine Learning in Automobile, Product and Application
3.7 Global Key Players of Machine Learning in Automobile, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Automobile Breakdown Data by Type
4.1 Global Machine Learning in Automobile Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning in Automobile Forecasted Market Size by Type (2025-2030)
5 Machine Learning in Automobile Breakdown Data by Application
5.1 Global Machine Learning in Automobile Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning in Automobile Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Automobile Market Size (2019-2030)
6.2 North America Machine Learning in Automobile Market Size by Type
6.2.1 North America Machine Learning in Automobile Market Size by Type (2019-2024)
6.2.2 North America Machine Learning in Automobile Market Size by Type (2025-2030)
6.2.3 North America Machine Learning in Automobile Market Share by Type (2019-2030)
6.3 North America Machine Learning in Automobile Market Size by Application
6.3.1 North America Machine Learning in Automobile Market Size by Application (2019-2024)
6.3.2 North America Machine Learning in Automobile Market Size by Application (2025-2030)
6.3.3 North America Machine Learning in Automobile Market Share by Application (2019-2030)
6.4 North America Machine Learning in Automobile Market Size by Country
6.4.1 North America Machine Learning in Automobile Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Machine Learning in Automobile Market Size by Country (2019-2024)
6.4.3 North America Machine Learning in Automobile Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Machine Learning in Automobile Market Size (2019-2030)
7.2 Europe Machine Learning in Automobile Market Size by Type
7.2.1 Europe Machine Learning in Automobile Market Size by Type (2019-2024)
7.2.2 Europe Machine Learning in Automobile Market Size by Type (2025-2030)
7.2.3 Europe Machine Learning in Automobile Market Share by Type (2019-2030)
7.3 Europe Machine Learning in Automobile Market Size by Application
7.3.1 Europe Machine Learning in Automobile Market Size by Application (2019-2024)
7.3.2 Europe Machine Learning in Automobile Market Size by Application (2025-2030)
7.3.3 Europe Machine Learning in Automobile Market Share by Application (2019-2030)
7.4 Europe Machine Learning in Automobile Market Size by Country
7.4.1 Europe Machine Learning in Automobile Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Machine Learning in Automobile Market Size by Country (2019-2024)
7.4.3 Europe Machine Learning in Automobile Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Machine Learning in Automobile Market Size (2019-2030)
8.2 China Machine Learning in Automobile Market Size by Type
8.2.1 China Machine Learning in Automobile Market Size by Type (2019-2024)
8.2.2 China Machine Learning in Automobile Market Size by Type (2025-2030)
8.2.3 China Machine Learning in Automobile Market Share by Type (2019-2030)
8.3 China Machine Learning in Automobile Market Size by Application
8.3.1 China Machine Learning in Automobile Market Size by Application (2019-2024)
8.3.2 China Machine Learning in Automobile Market Size by Application (2025-2030)
8.3.3 China Machine Learning in Automobile Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Machine Learning in Automobile Market Size (2019-2030)
9.2 Asia Machine Learning in Automobile Market Size by Type
9.2.1 Asia Machine Learning in Automobile Market Size by Type (2019-2024)
9.2.2 Asia Machine Learning in Automobile Market Size by Type (2025-2030)
9.2.3 Asia Machine Learning in Automobile Market Share by Type (2019-2030)
9.3 Asia Machine Learning in Automobile Market Size by Application
9.3.1 Asia Machine Learning in Automobile Market Size by Application (2019-2024)
9.3.2 Asia Machine Learning in Automobile Market Size by Application (2025-2030)
9.3.3 Asia Machine Learning in Automobile Market Share by Application (2019-2030)
9.4 Asia Machine Learning in Automobile Market Size by Region
9.4.1 Asia Machine Learning in Automobile Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Machine Learning in Automobile Market Size by Region (2019-2024)
9.4.3 Asia Machine Learning in Automobile Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Type
10.2.1 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Machine Learning in Automobile Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Application
10.3.1 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Machine Learning in Automobile Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Country
10.4.1 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Machine Learning in Automobile Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Allerin
11.1.1 Allerin Company Details
11.1.2 Allerin Business Overview
11.1.3 Allerin Machine Learning in Automobile Introduction
11.1.4 Allerin Revenue in Machine Learning in Automobile Business (2019-2024)
11.1.5 Allerin Recent Developments
11.2 Intellias Ltd
11.2.1 Intellias Ltd Company Details
11.2.2 Intellias Ltd Business Overview
11.2.3 Intellias Ltd Machine Learning in Automobile Introduction
11.2.4 Intellias Ltd Revenue in Machine Learning in Automobile Business (2019-2024)
11.2.5 Intellias Ltd Recent Developments
11.3 NVIDIA Corporation
11.3.1 NVIDIA Corporation Company Details
11.3.2 NVIDIA Corporation Business Overview
11.3.3 NVIDIA Corporation Machine Learning in Automobile Introduction
11.3.4 NVIDIA Corporation Revenue in Machine Learning in Automobile Business (2019-2024)
11.3.5 NVIDIA Corporation Recent Developments
11.4 Xevo
11.4.1 Xevo Company Details
11.4.2 Xevo Business Overview
11.4.3 Xevo Machine Learning in Automobile Introduction
11.4.4 Xevo Revenue in Machine Learning in Automobile Business (2019-2024)
11.4.5 Xevo Recent Developments
11.5 Kopernikus Automotive
11.5.1 Kopernikus Automotive Company Details
11.5.2 Kopernikus Automotive Business Overview
11.5.3 Kopernikus Automotive Machine Learning in Automobile Introduction
11.5.4 Kopernikus Automotive Revenue in Machine Learning in Automobile Business (2019-2024)
11.5.5 Kopernikus Automotive Recent Developments
11.6 Blippar
11.6.1 Blippar Company Details
11.6.2 Blippar Business Overview
11.6.3 Blippar Machine Learning in Automobile Introduction
11.6.4 Blippar Revenue in Machine Learning in Automobile Business (2019-2024)
11.6.5 Blippar Recent Developments
11.7 Alphabet Inc
11.7.1 Alphabet Inc Company Details
11.7.2 Alphabet Inc Business Overview
11.7.3 Alphabet Inc Machine Learning in Automobile Introduction
11.7.4 Alphabet Inc Revenue in Machine Learning in Automobile Business (2019-2024)
11.7.5 Alphabet Inc Recent Developments
11.8 Intel
11.8.1 Intel Company Details
11.8.2 Intel Business Overview
11.8.3 Intel Machine Learning in Automobile Introduction
11.8.4 Intel Revenue in Machine Learning in Automobile Business (2019-2024)
11.8.5 Intel Recent Developments
11.9 IBM
11.9.1 IBM Company Details
11.9.2 IBM Business Overview
11.9.3 IBM Machine Learning in Automobile Introduction
11.9.4 IBM Revenue in Machine Learning in Automobile Business (2019-2024)
11.9.5 IBM Recent Developments
11.10 Microsoft
11.10.1 Microsoft Company Details
11.10.2 Microsoft Business Overview
11.10.3 Microsoft Machine Learning in Automobile Introduction
11.10.4 Microsoft Revenue in Machine Learning in Automobile Business (2019-2024)
11.10.5 Microsoft Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Allerin
Intellias Ltd
NVIDIA Corporation
Xevo
Kopernikus Automotive
Blippar
Alphabet Inc
Intel
IBM
Microsoft
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*If Applicable.
