Automotive Artificial Intelligence Market by Component, Technology, and Application - Global Opportunity Analysis and Industry Forecast, 2017-2024

  • ID: 4580584
  • Report
  • Region: Global
  • 292 pages
  • Allied Analytics LLP
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Artificial Intelligence uses various computer functions such as reasoning, learning, and problem-solving based on human intelligence. It involves the science and engineering of intelligent computer programs.AI systems can be used in various disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering to build an intelligent system. Applications that incorporate the AI systems in automotive are semi-autonomous and autonomous.

The global automotive artificial intelligence market is expected to register significant growth during the forecast period, owing to rise in demand for autonomous vehicles and increase in preference for an enhanced user experience and convenience features. However, threat of hackers and rise in cybercrime is expected to restrain the market growth.

The report segments the automotive artificial intelligence market based on component, technology, application, and region. Based on component, the market is divided into hardware, software, and service. Further, hardware is classified into processor, memory, and networks. Furthermore, processor is bifurcated into microprocessor and graphics processing unit. By technology the market is segmented into machine learning & deep learning, computer vision, and natural language processing. By application, it is fragmented into semi-autonomous and autonomous. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

A comprehensive competitive analysis and profiles of the major market players such as NVIDIA Corporation, Waymo, Intel Corporation, IBM Corporation, Microsoft Corporation, Micron Technology, Otto Motors, BMW, Tesla Inc., and Toyota.

KEY BENEFITS

This report provides an extensive analysis of the current & emerging trends along with dynamics in the global automotive artificial intelligence market.
In-depth analysis is conducted by constructing market estimations for the key market segments between 2017 and 2024.
This report entails the detailed quantitative analysis of the current trends and future estimations, which assist to identify the prevailing market opportunities.

KEY MARKET SEGMENTS

By Component

Hardware
Processor
Microprocessor (MPU)
Graphics Processing Unit (GPU)
Memory
Network
Software
Service

By Technology

Machine Learning & Deep Learning
Computer Vision
Natural Language Processing

By Application

Semi-Autonomous
Autonomous

By Region

North America
U.S.
Canada
Mexico
Europe
UK
Germany
Russia
France
Rest of Europe
Asia-Pacific
China
Japan
South Korea
India
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

KEY MARKET PLAYERS PROFILED

NVIDIA Corporation
Waymo
Intel Corporation
IBM Corporation
Microsoft Corporation
Micron Technology
Otto Motors
BMW
Tesla Inc.
Toyota
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Note: Product cover images may vary from those shown
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CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segment
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top Winning Strategies
3.2.4. Top Winning Strategies, By Year, 2016-2018*
3.2.5. Top Winning Strategies, By Development, 2016-2018* (%)
3.2.6. Top Winning Strategies, By Company, 2016-2018*
3.3. Porter's five forces analysis
3.4. Market share, 2017
3.5. Market dynamics
3.5.1. Drivers
3.5.1.1. Rise in demand for enhanced user experience and convenience features
3.5.1.2. Growing demand of autonomous vehicle
3.5.2. Restraint
3.5.2.1. Rise security and privacy concerns
3.5.3. Opportunity
3.5.3.1. Increasing demand for premium vehicle segment

CHAPTER 4: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
4.1. Overview
4.2. Hardware
4.2.1. Key market trends and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market size and forecast, by hardware type
4.2.3.1 Processor
4.2.3.1.1. Market size and forecast, by processor
4.2.3.1.2. Microprocessor (MPU)
4.2.3.1.3. Graphics Processing Unit (GPU)
4.2.3.1 Memory
4.2.3.1 Network
4.2.4. Market analysis, by country
4.3. Software
4.3.1. Key market trends and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis, by country
4.4. Services
4.4.1. Key market trends and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis, by country

CHAPTER 5: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
5.1. Overview
5.2. Machine Learning & Deep Learning
5.2.1. Key market trends and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis, by country
5.3. Computer Vision
5.3.1. Key market trends and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis, by country
5.4. Natural Language Processing
5.4.1. Key market trends and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis, by country

CHAPTER 6: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION
6.1. Overview
6.2. Semi-Autonomous
6.2.1. Key market trends and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis, by country
6.3. Autonomous
6.3.1. Key market trends and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis, by country

CHAPTER 7: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY REGION
7.1. Overview
7.2. North America
7.2.1. Key market trends and opportunities
7.2.2. Market size and forecast, by component
7.2.3. Market size and forecast, by technology
7.2.4. Market size and forecast, by application
7.2.5. Market analysis, by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast
7.2.5.1.2. Market size and forecast, by component
7.2.5.1.3. Market size and forecast, by technology
7.2.5.1.4. Market size and forecast, by application
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast
7.2.5.2.2. Market size and forecast, by component
7.2.5.2.3. Market size and forecast, by technology
7.2.5.2.4. Market size and forecast, by application
7.2.5.3. Mexico
7.2.5.3.1. Market size and forecast
7.2.5.3.2. Market size and forecast, by component
7.2.5.3.3. Market size and forecast, by technology
7.2.5.3.4. Market size and forecast, by application
7.3. Europe
7.3.1. Key market trends and opportunities
7.3.2. Market size and forecast, by component
7.3.3. Market size and forecast, by technology
7.3.4. Market size and forecast, by application
7.3.5. Market analysis, by country
7.3.5.1. UK
7.3.5.1.1. Market size and forecast
7.3.5.1.2. Market size and forecast, by component
7.3.5.1.3. Market size and forecast, by technology
7.3.5.1.4. Market size and forecast, by application
7.3.5.2. Germany
7.3.5.2.1. Market size and forecast
7.3.5.2.2. Market size and forecast, by component
7.3.5.2.3. Market size and forecast, by technology
7.3.5.2.4. Market size and forecast, by application
7.3.5.3. Russia
7.3.5.3.1. Market size and forecast
7.3.5.3.2. Market size and forecast, by component
7.3.5.3.3. Market size and forecast, by technology
7.3.5.3.4. Market size and forecast, by application
7.3.5.4. France
7.3.5.4.1. Market size and forecast
7.3.5.4.2. Market size and forecast, by component
7.3.5.4.3. Market size and forecast, by technology
7.3.5.4.4. Market size and forecast, by application
7.3.5.5. Rest of Europe
7.3.5.5.1. Market size and forecast
7.3.5.5.2. Market size and forecast, by component
7.3.5.5.3. Market size and forecast, by technology
7.3.5.5.4. Market size and forecast, by application
7.4. Asia-Pacific
7.4.1. Key market trends and opportunities
7.4.2. Market size and forecast, by component
7.4.3. Market size and forecast, by technology
7.4.4. Market size and forecast, by application
7.4.5. Market analysis, by country
7.4.5.1. China
7.4.5.1.1. Market size and forecast
7.4.5.1.2. Market size and forecast, by component
7.4.5.1.3. Market size and forecast, by technology
7.4.5.1.4. Market size and forecast, by application
7.4.5.2. Japan
7.4.5.2.1. Market size and forecast
7.4.5.2.2. Market size and forecast, by component
7.4.5.2.3. Market size and forecast, by technology
7.4.5.2.4. Market size and forecast, by application
7.4.5.3. South Korea
7.4.5.3.1. Market size and forecast
7.4.5.3.2. Market size and forecast, by component
7.4.5.3.3. Market size and forecast, by technology
7.4.5.3.4. Market size and forecast, by application
7.4.5.4. India
7.4.5.4.1. Market size and forecast
7.4.5.4.2. Market size and forecast, by component
7.4.5.4.3. Market size and forecast, by technology
7.4.5.4.4. Market size and forecast, by application
7.4.5.5. Rest of Asia-Pacific
7.4.5.5.1. Market size and forecast
7.4.5.5.2. Market size and forecast, by component
7.4.5.5.3. Market size and forecast, by technology
7.4.5.5.4. Market size and forecast, by application
7.5. LAMEA
7.5.1. Key market trends and opportunities
7.5.2. Market size and forecast, by component
7.5.3. Market size and forecast, by technology
7.5.4. Market size and forecast, by application
7.5.5. Market analysis, by country
7.5.5.1. Latin America
7.5.5.1.1. Market size and forecast
7.5.5.1.2. Market size and forecast, by component
7.5.5.1.3. Market size and forecast, by technology
7.5.5.1.4. Market size and forecast, by application
7.5.5.2. Middle East
7.5.5.2.1. Market size and forecast
7.5.5.2.2. Market size and forecast, by component
7.5.5.2.3. Market size and forecast, by technology
7.5.5.2.4. Market size and forecast, by application
7.5.5.3. Africa
7.5.5.3.1. Market size and forecast
7.5.5.3.2. Market size and forecast, by component
7.5.5.3.3. Market size and forecast, by technology
7.5.5.3.4. Market size and forecast, by application

CHAPTER 8: COMPANY PROFILES
8.1. Nvidia Corporation
8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.2. Alphabet Inc. (Waymo)
8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Business performance
8.2.5. Key strategic moves and developments
8.3. Intel Corporation
8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Product portfolio
8.3.5. Business performance
8.3.6. Key strategic moves and developments
8.4. International Business Machines Corporation (IBM)
8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Product portfolio
8.4.5. Business performance
8.4.6. Key strategic moves and developments
8.5. Microsoft Corporation
8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Product portfolio
8.5.5. Business performance
8.5.6. Key strategic moves and developments
8.6. Micron Technology, Inc.
8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Business performance
8.6.6. Key strategic moves and developments
8.7. BMW
8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Business performance
8.7.5. Key strategic moves and developments
8.8. Uber Technologies Inc. (OTTO Motors)
8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating product categories
8.8.4. Product portfolio
8.8.5. Key strategic moves and developments
8.9. Tesla, Inc.
8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments
8.10. Toyota Motor Corporation
8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Business performance
8.10.6. Key strategic moves and developments
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According to a recent report titled, Automotive Artificial Intelligence Market by Component, Technology, and Application: Global Opportunity Analysis and Industry Forecast, 2017-2024, the global automotive artificial intelligence market was valued at $445.8 million in 2017, and is projected to reach at $5,827.6 million by 2024, growing at a CAGR of 43.8% from 2018 to 2024.

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.

At present, North America dominates this 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 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.

The report includes a micro-level study of different regions adopting automotive artificial intelligence for various application. In addition, it discusses the potential opportunities for market players to enter the market. Moreover, it provides an in-depth market analysis of automotive artificial intelligence, outlining current trends, key driving factors, and potential areas for product investments.

The global automotive AI market is analyzed based on four regions, North America, Europe, Asia-Pacific, and LAMEA. Furthermore, the report highlights the competitive landscape of the key market players to increase their shares and sustain the intense competition in the industry. NVIDIA Corporation, Waymo, Intel Corporation, IBM Corporation, Microsoft Corporation, Micron Technology, Otto Motors, BMW, Tesla Inc., and Toyota are some of the key players operating in the global automotive AI market.

Key Findings of the Automotive Artificial Intelligence Market

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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Note: Product cover images may vary from those shown
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