Artificial Intelligence (AI) is considered to be the next big technological development, similar to past developments such as the revolution of industries, the computer era, and the emergence of smartphone technology. At present, artificial intelligence (AI) is a key technology trend in automotive. For instance; Autonomous driving relies on AI because it is the only technology that enables the reliable, real-time recognition of objects around the vehicle. With the growing usage of Internet of Things, cloud-hosted intelligence and driver assist features the market for automotive artificial intelligence is expected to witness significant growth over the forecast period. Furthermore, the major players in the automotive industry heavily investing in the development of artificial intelligence for automobiles, the industry-wide standard such as the adaptive cruise control, advanced driver assistance systems and blind spot alert would further trigger the growth in the automotive artificial intelligence market.
The automotive artificial intelligence market is majorly driven by the growing demand of autonomous vehicle. Autonomous vehicles are gaining popularity globally because of many features like automatic parking, self-driving, autopilot, and others, which reduces human effort during driving. Moreover, such autonomous vehicles are backed up by some of the biggest technologically strong companies such as Nvidia, Tesla, and Intel among others. The autonomous vehicles are projected to significantly bring down the requirement of human intervention and be of vital importance in the industries which are suffering from low manpower for transportation purposes. This, in turn, is expected to drive the growth of automotive AI market.
There are various challenges which manufacturers are facing regarding security and privacy concerns such as safety of personal data, cyber-attacks, and driver distractions. For instance, nearly 1.4 million Fiat Chryslers were recalled in the US because of a technical glitch in their dashboard computers that permitted hackers to disable the vehicle. Correspondingly, white hat hackers were successful in implanting malware into the system of a Tesla car. These instances of intruding customer’s privacy are some of the major restraints in the market growth.
The Asian countries like South Korea, Japan, China, and India possess strong technological capabilities, due to which major technology leader in the market are investing in these countries. North America is likely to be one of the significant contributors to the automotive AI market. The growth is anticipated to be driven by two primary factors: rapid development of autonomous vehicle technology and the strict government regulation for road safety. For instance, in 2016, the government United States has invested more than USD 4 billion to accelerate the acceptance of autonomous vehicles in the country. Also, favorable government regulations coupled with Ford Motor Company, General Motors, and Fiat-Chrysler Automotive leading the charge in the development of the artificial intelligence in automotive by continually upgrading their product will have a positive impact on the market.
- October 2018: Honda has joined hands with General Motors tech startup Cruise to develop autonomous vehicles as the race to market self-driving cars heats up, the companies
- September 2018: Mercedes-Benz has partnered with SoundHound to integrate its Houndify voice-enabled artificial intelligence into the car’s latest infotainment system.
Major Players: Qualcomm Inc, Volvo Car Corporation, BMW AG, Toyota Motor Corporation, Hyundai Motor Corporation among others.
Base Year for Estimation
2018 – 2023
Revenue in USD billion and CAGR from 2018 – 2023
North America, Asia Pacific, Europe and Rest of the World
Revenue forecast, market share analysis, and market dynamics
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- Analyzing various perspectives of the market with the help of Porter’s Five Forces Analysis
- Detailed analysis on the segment that is expected to register the highest growth rate
- Study on the region and country that are expected to dominate the market
- Identifying the latest developments, market shares and strategies employed by the major market players
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1.1 Scope of the Market
1.2 Executive Summary
2. RESEARCH METHODOLOGY
2.1 Study Deliverables
2.2 Study Assumptions
2.3 Research Methodology
3. MARKET OVERVIEW
3.1 Current Market Scenario
3.2 Technology Trends
3.3 Industry Attractiveness – Porter’s Five Forces Analysis
3.3.1 Bargaining Power of Suppliers
3.3.2 Bargaining Power of Buyers
3.3.3 Threat of New Entrants
3.3.4 Threat of Substitute Products and Services
3.3.5 Competitive Rivalry Within the Industry
4. MARKET DYNAMICS
5. MARKET SEGMENTATION AND ANALYSIS (MARKET SIZE, GROWTH, AND FORECAST)
5.1 By Component Type
5.2 Technology Type
5.2.1 Deep Learning
5.2.2 Machine Learning
5.2.3 Computer Vision
5.2.4 Context Awareness
5.3 By Process
5.3.1 Signal Recognition
5.3.2 Image Recognition
5.3.3 Data Mining
6. REGIONAL MARKET ANALYSIS (MARKET SIZE, GROWTH, AND FORECAST)
6.1 North America
6.1.1 United States
6.1.3 Rest of North America
6.2.4 Rest of Asia-Pacific
6.3.2 United Kingdom
6.3.4 Rest of Europe
6.4 Rest of the World
6.4.1 South America
6.4.2 Middle East & Africa
7. COMPETITIVE LANDSCAPE
7.2 Market Share Analysis
8. COMPANY PROFILES (OVERVIEW, FINANCIALS**, PRODUCTS & SERVICES, SWOT ANALYSIS, AND RECENT DEVELOPMENTS)
8.1 NVIDIA Corporation
8.2 Alphabet Inc.
8.3 Intel Corporation
8.4 Microsoft Corporation
8.5 International Business Machines Corporation
8.6 Harman International Industries, Inc.
8.7 Qualcomm Inc.
8.8 Volvo Car Corporation
8.9 Bayerische Motoren Werke AG
8.10 Toyota Motor Corporation
8.11 Daimler AG
8.12 Uber Technologies, Inc.
** Subject to Availability on Public Domain