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Pulished Date February, 2020
ID: 9147
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Automotive Artificial Intelligence Market by Application (Semi-Autonomous and Fully Autonomous), By component (Hardware, Software, Service), By technology (Machine Learning And Deep Learning, Computer Vision, Natural Language Processing), By process (Signal Recognition, Image Recognition, Data Mining) - Industry Analysis, Size, Share, Growth, Trends and Forecast 2020-2025

Pulished: February, 2020
ID: 9147
Pages: 175

Automotive Artificial Intelligence Market Overview:

The global automotive artificial intelligence market is relied upon to reach USD 10,573.3 Million by 2025, expanding at a CAGR of 38.46% during the estimated time frame.

Artificial intelligence (AI) frameworks are utilized to change, process, and function information and algorithms to mimic the intellectual elements of the human mind, and increase the ability to assimilate and resolve issues automatically. Vehicles with self-driving highlights are bound to receive such frameworks to improve their productivity and functioning.

This industry is one of the most innovative sectors in the world. These days, the improvement and expansion of driverless or assisted vehicle is probably the most significant advancement in the automotive industry. Artificial Intelligence (AI) enables cars the ability to see, think, learn, and explore an interminable scope of driving situations. Automotive industry utilizes the intensity of AI and deep learning to covey a breakthrough end-to-end solution for autonomous driving from information assortment, model training, and testing in recreation to the organization of smart, safe, and self-driving vehicles.

Automotive Artificial Intelligence Market Recent Developments:

An artificial neural network can disclose patterns in vast amounts of organic phenomenon data, and find out groups of disease-related genes. Scientists wish that the new method can by and by be applied within precision medicine and personalized treatment.

Scientists have built a human-made intelligence (AI) tool which will accurately predict which patients newly infected with the virus that causes Covid-19 would continue to develop a severe respiratory illness

Drivers and Restraints of Automotive Artificial Intelligence Market:

Drivers:

The developing interest of autonomous vehicles significantly determines the global automotive AI market. These vehicles are gaining prevalence internationally due to numerous highlights like automatic parking, self-driving, autopilot, and others, which decreases human exertion during driving. In addition, such autonomous vehicles are upheld up by absolute greatest technologically reliable companies, for example, Nvidia, Tesla, and Intel, among others. The autonomous cars are anticipated to substantially cut down the prerequisite of human intercession and be of crucial significance in the industries which are experiencing low labor for transportation purposes. This, thus, is relied upon to drive the development of the global automotive AI market.

Restraints:

There are different difficulties that manufacturers are confronting with respect to security and privacy concerns such as safety of personal information, cyber-attacks, and driver interruptions. For example, about 1.4 million Fiat Chryslers were reviewed in the US due to a technical glitch in their dashboard PCs that allowed hackers to debilitate the vehicle. Correspondingly, white hat hackers were effective in embedding malware into the system of a Tesla car. These occurrences of meddling client’s security are some of the significant limitations in market development.

Automotive Artificial Intelligence  Market Segmentation:

By application:

  • Semi-Autonomous
  • Fully Autonomous

Automotive HMI has developed radically in the last few years and implemented troublesome advances in different items such as voice recognition framework and gesture recognition framework. This is a developing business sector where innovative AI technology is being utilized in forthcoming models in premium segments.

By component:

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

Software is a crucial component that stores information and executes directions. Hardware is used as an interface between the AI framework and humans. All software requires overhauling for their viable functioning. The framework manufacturer or the OEM can give service.

By technology:

  • Machine Learning & Deep Learning
  • Computer Vision
  • Natural Language Processing

In view of technology, deep learning segment represented the most significant share of the worldwide automotive AI market in 2018. The large share of this segment is primarily ascribed to the expanding venture by numerous organizations in the improvement of self-driving cars in which the deep learning innovation is utilized for image processing, information analysis, motion recognition, and voice search.

By process:

  • Signal recognition
  • Image recognition
  • Data mining

Information is gathered from various sensors utilized in a semi-autonomous or autonomous vehicle, which can be used to prepare the car to identify or perceive images, obstructions, and different situations one may experience in the driver’s seat. Because of the enormous volumes of information created and processed in a vehicle, data mining is supposed to be the quickest developing process in the global automotive AI market.

Automotive Artificial Intelligence Market Region-wise analysis:

Marked Segmentation based on the region:

  1. North America
    1. U.S
    2. Canada
  2. Europe
    1. Norway
    2. Germany
    3. Sweden
  3. Asia Pacific
    1. China
    2. India
    3. Japan
  4. Latin America
    1. Brazil
    2. Mexico
    3. Argentina
  5. Middle East and Africa

a. Middle East

b. Africa

North America is probably going to be one of the noteworthy contributors to the global automotive AI market. The development is foreseen to be driven by two essential components: quick improvement of autonomous vehicle technology and the severe government guideline for street security. Europe drove the global market in 2017, as the pace of reception of advanced features in vehicles was impressively high in the area. The Asian nations like South Korea, Japan, China, and India have strong technological capacities, because of which significant technology pioneers in the market are investing in these nations.

Key Players of Market:

The major players of the market are NVIDIA Corporation (US), Alphabet Inc. (US),  (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups of the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US)

1. Introduction                            

          1.1 Market Definition                  

          1.2 Scope of the report               

          1.3 Study Assumptions               

          1.4 Base Currency, Base Year and Forecast Periods              

2. Research Methodology                      

          2.1 Analysis Design          

          2.2 Research Phases                   

                    2.2.1 Secondary Research 

                    2.2.2 Primary Research     

                    2.2.3 Data Modelling        

                    2.2.4 Expert Validation     

          2.3 Study Timeline            

3. Report Overview                     

          3.1 Executive Summary               

          3.2 Key Inferencees          

4. Market Dynamics                    

          4.1 Impact Analysis           

                    4.1.1 Drivers

                    4.1.2 Restaints       

                    4.1.3 Opportunities 

          4.2 Regulatory Environment                  

          4.3 Technology Timeline & Recent Trends                  

5. Competitor Benchmarking Analysis                        

          5.1 Key Player Benchmarking                 

                    5.1.1 Market share analysis         

                    5.1.2 Products/Service      

                    5.1.3 Regional Presence    

          5.2 Mergers & Acquistion Landscape               

          5.3 Joint Ventures & Collaborations                 

6. Market Segmentation                        

          6.1 Automotive Artificial Intelligence Market, By Component          

                    6.1.1 Hardware       

                    6.1.2 Software        

                    6.1.3 Services         

                    6.1.4 Market Size Estimations & Forecasts (2019-2024)        

                    6.1.5 Y-o-Y Growth Rate Analysis         

                    6.1.6 Market Attractiveness Index         

          6.2 Automotive Artificial Intelligence Market, By Technology           

                    6.2.1 Machine Learning     

                    6.2.2 Deep Learning         

                    6.2.3 Computer Vision      

                    6.2.4 Natural Language Processing        

                    6.2.5 Market Size Estimations & Forecasts (2019-2024)        

                    6.2.6 Y-o-Y Growth Rate Analysis         

                    6.2.7 Market Attractiveness Index         

          6.3 Automotive Artificial Intelligence Market, By Application           

                    6.3.1 Semi-Autonomous   

                    6.3.2 Fully Autonomous    

                    6.3.3 Market Size Estimations & Forecasts (2019-2024)        

                    6.3.4 Y-o-Y Growth Rate Analysis         

                    6.3.5 Market Attractiveness Index         

          6.4 Automotive Artificial Intelligence Market, By Process                

                    6.4.1 Signal Recognition   

                    6.4.2 Image Recognition   

                    6.4.3 Data Mining   

                    6.4.4 Market Size Estimations & Forecasts (2019-2024)        

                    6.4.5 Y-o-Y Growth Rate Analysis         

                    6.4.6 Market Attractiveness Index         

7. Geographical Landscape                    

          7.1 Global Identity Governance and Administration Market, by Region                   

          7.2 North America - Market Analysis (2018 - 2024)             

                    7.2.1 By Country     

                              7.2.1.1 USA

                              7.2.1.2 Canada

                    7.2.2 By Component         

                    7.2.3 By Technology          

                    7.2.4 By Application

                    7.2.5 By Process     

          7.3 Europe             

                    7.3.1 By Country     

                              7.3.1.1 UK

                              7.3.1.2 France

                              7.3.1.3 Germany

                              7.3.1.4 Spain

                              7.3.1.5 Italy

                              7.3.1.6 Rest of Europe

                    7.3.2 By Component         

                    7.3.3 By Technology          

                    7.3.4 By Application

                    7.3.5 By Process     

          7.4 Asia Pacific                 

                    7.4.1 By Country     

                              7.4.1.1 China

                              7.4.1.2 India

                              7.4.1.3 Japan

                              7.4.1.4 South Korea

                              7.4.1.5 South East Asia

                              7.4.1.6 Australia & NZ

                              7.4.1.7 Rest of Asia-Pacific

                    7.4.2 By Component         

                    7.4.3 By Technology          

                    7.4.4 By Application

                    7.4.5 By Process     

          7.5 Latin America             

                    7.5.1 By Country     

                              7.5.1.1 Brazil

                              7.5.1.2 Argentina

                              7.5.1.3 Mexico

                              7.5.1.4 Rest of Latin America

                    7.5.2 By Component         

                    7.5.3 By Technology          

                    7.5.4 By Application

                    7.5.5 By Process     

          7.6 Middle East and Africa          

                    7.6.1 By Country     

                              7.6.1.1 Middle East

                              7.6.1.2 Africa

                    7.6.2 By Component         

                    7.6.3 By Technology          

                    7.6.4 By Application

                    7.6.5 By Process     

8. Key Player Analysis                           

          8.1 NVIDIA Corporation               

                    8.1.1 Business Description

                    8.1.2 Products/Service      

                    8.1.3 Financials      

                    8.1.4 SWOT Analysis         

                    8.1.5 Recent Developments         

                    8.1.6 Analyst Overview      

          8.2 Alphabet Inc.              

          8.3 Intel Corporation                   

          8.4 IBM Corporation          

          8.5 Microsoft Corporation           

          8.6 Harman International Industries Inc           

          8.7 Xilinx Inc.                   

          8.8 Qualcomm Inc            

          8.9 Tesla Inc          

          8.10 General Motors Company              

9. Market Outlook & Investment Opportunities                     

Appendix                         

          List of Tables          

          List of Figures                  

  • Global, Regional and country-level analysis and forecasts of the study market; providing Insights on the major countries/regions in which this industry is blooming and to also identify the regions that are still untapped
  • The segment-level analysis in terms of  by propulsion, by charging station, by  power output, by installation along with market size forecasts and estimations to detect key areas of industry growth in detail
  • Identification of key drivers, restraints, opportunities, and challenges (DROC) in the market and their impact on shifting market dynamics
  • Study of the effect of exogenous and endogenous factors that affect the global market; which includes broadly demographics, economics, and political, among other macro-environmental factors presented in an extensive PESTLE Analysis
  • Study the microenvironment factors that determine the overall profitability of an Industry, using Porter’s five forces analysis for analyzing the level of competition and business strategy development
  • A comprehensive list of key market players along with their product portfolio, current strategic interests, key financial information, legal issues, SWOT analysis and analyst overview to study and sustain the market environment
  • Competitive landscape analysis listing out the mergers, acquisitions, collaborations in the field along with new product launches, comparative financial studies and recent developments in the market by the major companies
  • An executive summary, abridging the entire report in such a way that decision-making personnel can rapidly become acquainted with background information, concise analysis, and main conclusions
  • Expertly devised analyst overview along with Investment opportunities to provide both individuals and organizations a strong financial foothold in the market
  1. Global Automotive Artificial Intelligence Market By Region, From 2020-2025 ( USD Billion )
  2. Global Automotive Artificial Intelligence Market By Component, From 2020-2025 ( USD Billion )
  3. Global Hardware Market By Region, From 2020-2025 ( USD Billion )
  4. Global Software Market By Region, From 2020-2025 ( USD Billion )
  5. Global Services Market By Region, From 2020-2025 ( USD Billion )
  6. Global Automotive Artificial Intelligence Market By Technology, From 2020-2025 ( USD Billion )
  7. Global Machine Learning Market By Region, From 2020-2025 ( USD Billion )
  8. Global Deep Learning Market By Region, From 2020-2025 ( USD Billion )
  9. Global Computer Vision Market By Region, From 2020-2025 ( USD Billion )
  10. Global Natural Language Processing Market By Region, From 2020-2025 ( USD Billion )
  11. Global Automotive Artificial Intelligence Market By Application, From 2020-2025 ( USD Billion )
  12. Global Semi-Autonomous Market By Region, From 2020-2025 ( USD Billion )
  13. Global Fully Autonomous Market By Region, From 2020-2025 ( USD Billion )
  14. Global Automotive Artificial Intelligence Market By Process, From 2020-2025 ( USD Billion )
  15. Global Signal Recognition Market By Region, From 2020-2025 ( USD Billion )
  16. Global Image Recognition Market By Region, From 2020-2025 ( USD Billion )
  17. Global Data Mining Market By Region, From 2020-2025 ( USD Billion 

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