Artificial Intelligence (AI) in Automotive Market 2023 – 2030 By Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural language Processing (NLP)), Component (Software, Hardware, Service) - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional Footprints by MarketDigits

Industry : Automotive & Transportation | Pages : 149 Pages | Published On : Dec 2023

         
     

The Artificial Intelligence (AI) in Automotive Market size is estimated to grow from USD 5.01 Billion in 2019 to USD 36.80 Billion by 2027, growing at a CAGR of 33.31% during the forecast year from 2021 to 2027.

Artificial Intelligence (AI) in Automotive Market Size


Graph
             2019                         2021-2027      

ReportDetails
Market Size ValueUSD 5.01 Billion in 2019
Market Size ValueUSD 36.80 Billion by 2027
CAGR33.31%
Forecast Period2021-2027
Historic Data2019
Segments Coveredxxxx
Geographics CoveredNorth America, Latin America, Europe, Asia-Pacific, Middle East & Africa

The automotive industry has grown rapidly globally over the years, primarily due to the changing consumer preferences, rising concerns about driver safety, environmental concerns, and stringent government regulations focusing on crash avoidance rather than crash survival. AI-powered vehicle systems are being highly capitalized upon by the manufacturers as they have been upgrading new features in the vehicles that include lane assistance, adaptive cruise control and automated parking. At Present, major technologies that are driving the automotive market are artificial intelligence and high-performance computing. These technologies are helping in building autonomous vehicles, and they are enhancing the customer and employee experience. Moreover the computer vision is assured to show the speedy growth across the global automotive artificial intelligence market.

The Artificial Intelligence (AI) in Automotive Market is segmented by component, technology, process, application and geography. In countries like India and China, the disposable income of customers is increasing and they are opting for luxury segments that comes installed with advanced driver assistance and autonomous systems such as automatic parking, automatic emergency braking, etc. Companies like Ford have already applied AI to improve their customer and business operations through supply chain risk identification and in-vehicle predictive maintenance.

The Asia Pacific region is expected to account a significant growth across all fronts including consumer electronics, internet infrastructure, economic growth, and spending capabilities. This is due to the government initiatives, an increase in demand for premium vehicles, rising investments in AI technology for improved productivity, and adoption of AI-based solutions and services among autonomous and semi-autonomous applications will contribute to growth in this region.

The research covers the current and historic Artificial Intelligence (AI) in Automotive Market size and its growth trend with company outline of Key players/manufacturers: Alphabet Inc., Audi AG, BMW AG, Daimler AG, Didi Chuxing, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Honda Motor Co., Ltd., IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla, Inc., Toyota Motor Corporation, Uber Technologies, Inc., Volvo Car Corporation, and Xilinx Inc among others

The Artificial Intelligence (AI) in Automotive Market research report provides an in-depth overview of the industry including market segmentation by component, technology, process, application and geography. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. The Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.

The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.

Market Analysis and Insights: Artificial Intelligence (AI) in Automotive Market Analysis & Insights

Artificial Intelligence (AI) in Automotive Market Scope and Market Size

Artificial Intelligence in Automotive market is segmented by component, technology, process, application and geography. Players, stakeholders, and other participants in the global Artificial Intelligence in Automotive market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2016-2027.

Report further studies the market development status and future and Artificial Intelligence in Automotive Market trend across the world. Also, it splits Artificial Intelligence in Automotive market segmentation by component, technology, process, application and geography to deep dive research and reveals market profile and prospects.

Major Classifications are as follows:

By Component

  • Hardware
  • Software
  • Services

 By Technology

  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Context-Aware Computing

By Process

  • Signal Recognition
  • Image Recognition
  • Voice Recognition
  • Data Mining

By Application

  • Semi-Autonomous Driving
  • Human Machine Interface

By Region

  • North America
  • Europe
  • Middle East and Africa (MEA)
  • Asia-Pacific (APAC)

Reason to purchase this Artificial Intelligence (AI) in Automotive Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Artificial Intelligence in Automotive market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different and Artificial Intelligence in Automotive market segments in the top spending countries across the world and identify the opportunities offered by each of them.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Artificial Intelligence in Automotive market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Artificial Intelligence in Automotive market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Artificial Intelligence in Automotive  market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.

TOC

Table of Contents:

  1. EXECUTIVE SUMMARY
  2. INTRODUCTION
    • Key Takeaways
    • Report Description
    • Market Scope & Definition
    • Stakeholders
    • Research Methodology
      • Market Size
      • Key Data Points From Primary Sources
      • Key Data Points From Secondary Sources
      • List Of Primary Sources
      • List Of Secondary Sources
  1. MARKET OVERVIEW
    • Industry Segmentation
    • Market Trends Analysis
    • Major Funding & Investments
    • Market Dynamics
      • Drivers
      • Restraints
      • Opportunities
    • Value Chain Analysis
    • Porter’s Five Forces Analysis
  2. IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET
    • Impact of Covid-19 On Artificial Intelligence in Automotive Market, By Component
    • Impact Of Covid-19 On Artificial Intelligence in Automotive Market, By Technology
    • Impact Of Covid-19 On Artificial Intelligence in Automotive Market, By Process
    • Impact Of Covid-19 On Artificial Intelligence in Automotive Market, By Application
    • Impact of Covid-19 On Artificial Intelligence in Automotive Market, By Region
  3. ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET, BY COMPONENT
    • Introduction
    • Hardware
    • Software
    • Services
  4. ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET, BY TECHNOLOGY
    • Introduction
    • Machine Learning
    • Computer Vision
    • Natural Language Processing
    • Context-Aware Computing
  5. ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE  MARKET, BY PROCESS
    • Introduction
    • Signal Recognition
    • Image Recognition
    • Voice Recognition
    • Data Mining
  6. Others ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET, BY APPLICATION
    • Introduction
    • Semi-Autonomous Driving
    • Human Machine Interface
  7. ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET, BY GEOGRAPHY
    • North America
      • U.S.
      • Canada
    • Europe
      • Germany
      • U.K.
      • France
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • Rest Of Asia Pacific
    • Rest of the World
      • Middle East
      • Africa
  1. COMPETITIVE ANALYSIS
    • Introduction
    • Top Companies Ranking
    • Market Share Analysis
    • Recent Developments
      • New Product Launch
      • Mergers & Acquisitions
      • Collaborations, Partnerships & Agreements
      • Rewards & Recognition
  1. COMPANY PROFILES
    • Alphabet Inc
    • Audi AG
    • BMW AG
    • Daimler AG
    • Didi Chuxing
    • Ford Motor Company
    • General Motors Company
    • Harman International Industries, Inc.
    • Honda Motor Co., Ltd.
    • IBM Corporation
    • Intel Corporation
    • Microsoft Corporation
    • NVIDIA Corporation
    • Qualcomm Inc.
    • Tesla, Inc.
    • Toyota Motor Corporation
    • Uber Technologies, Inc.
    • Volvo Car Corporation
    • Xilinx Inc

Table and Figures

Methodology:

At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.

This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.

The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.

Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.

The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.

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Covered Key Topics

Growth Opportunities

Market Growth Drivers

Leading Market Players

Company Market Share

Market Size and Growth Rate

Market Trend and Technological

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