Automotive Artificial Intelligence Market Global Trends, Market Share, Industry Size, Growth, Opportunities, and Market Forecast 2019 to 2029

Automotive Artificial Intelligence Market Global Trends, Market Share, Industry
Size, Growth, Opportunities, and Market Forecast 2019 to 2029
Developing cloud hosting intelligence along with ever flourishing automotive industry
is rapidly altering the overall dynamics of the automotive artificial intelligence
market. Autonomous driving assistance that enables object recognition is viewed as
a reliable solution to the pressing issue of road safety. The industry standards as
adaptive cruise control, advanced driver assistance systems and blind spot alert are
being readily incorporated within the leading automotive manufacturing brands by
facilitating huge investments for product innovation. The inclination towards the use
of passenger cars and commercial vehicles that could be operated with minimal
human intervention is estimated to soon be the norm. Thus autonomous vehicles
leveraging artificial intelligence would prove to be a breakthrough in regions facing
scarcity of manpower in the transportation sector.
The global automotive artificial intelligence market is anticipated to surpass the
market value of US$ 11 billion by 2026 end, registering a bolstering CAGR of 37.1%,
for the forecast period from 2019 to 2026.
Global Automotive Artificial Intelligence Market, by Component
• Software
• Hardware
• Service
Software is the core segment of the global automotive artificial intelligence that
majorly drives the interactions with databases and internet of things (IoT) related to
automotive operations. The major challenge faced by this segment is the cyberattacks and related consequences. Thus market players that provide cyber-attack
safeguarded solution on a regular basis are estimated to lead the market. The
hardware components provide physical interfacing between human being and
automotive vehicles. This segment is anticipated to grow in terms of nanotechnology
innovations for years to come. Automotive artificial intelligence runs on services like
blockchain and high-speed wireless internet services. Hence the services segment
will remain the most competitive segment in terms of affordability and
omnipresence.
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Global Automotive Artificial Intelligence Market, by Technology
• Natural Language Processing
• Computer Vision
• Machine Learning & Deep Learning
Overall, the usage of voice commands for automatic operations is gaining popularity
across demography. Natural Language Processing (NLP)is the most comprehensive
set of technology that can be employed for meeting this demand. Hence NLP
segment is to experience a tremendous upsurge in the CAGR for coming years. The
advancement in data mining and data analysing tools is facilitating rapid reliability on
machine learning and deep learning to facilitate mimicking of human reactions in lifecritical situations while driving. Hence this segment has a huge potential of growth
over the forecast period.
Global Automotive Artificial Intelligence Market, by Application
• Autonomous
• Semi-Autonomous
Global Automotive Artificial Intelligence Market, by Region
• North America
• Latin America
• Europe
• Asia Pacific
• Rest of the World
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Competitive Landscape:
• Tier 1 players- established companies in the market with a major market share
• Tier 2 players
• Emerging players which are growing rapidly
• New Entrants
FutureWise Key Takeaways
• Growth prospects
• SWOT analysis
• Key trends
• Key data-points affecting market growth
Objectives of the Study:
• To provide with an exhaustive analysis on the global automotive artificial
intelligence market on the basis of component, technology, application and region
• To cater comprehensive information on factors impacting market growth (drivers,
restraints, opportunities, and industry-specific restraints)
• To evaluate and forecast micro-markets and the overall market
• To predict the market size, in key regions (along with countries)—North America,
Europe, Asia Pacific, Latin America, and the Middle East
• To record evaluate and competitive landscape mapping- product launches,
technological advancements, mergers and expansions
• Profiling of companies to evaluate their market shares, strategies, financials and
core competencies
Table of Contents
INTRODUCTION
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Report description
Key benefits for stakeholders
Key market segment
Research methodology
Secondary research
Primary research
Analyst tools & models
EXECUTIVE SUMMARY
MARKET OVERVIEW
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Market definition and scope
Key findings
Market share, 2019
Market dynamics
Drivers
Rise in demand for enhanced user experience and convenience features
Growing demand of autonomous vehicle
Restraint
Rise security and privacy concerns
Opportunity
Increasing demand for premium vehicle segment
AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
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Overview
Hardware
Processor
Memory
Network
Software
Services
AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
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Overview
Machine Learning & Deep Learning
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Computer Vision
Natural Language Processing
AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION
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Overview
Semi-Autonomous
Autonomous
AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY REGION
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Overview
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
COMPANY PROFILES
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Nvidia Corporation
Alphabet Inc. (Waymo)
Intel Corporation
International Business Machines Corporation (IBM)
Microsoft Corporation
Micron Technology, Inc.
BMW
Uber Technologies Inc. (OTTO Motors)
Tesla, Inc.
Toyota Motor Corporation
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Developing cloud hosting intelligence along with ever flourishing automotive industry is rapidly altering the overall dynamics of the automotive artificial intelligence market. Autonomous driving assistance that enables object recognition is viewed as a reliable solution to the pressing issue of road safety.