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Europe Automotive Artificial Intelligence Market Size, Share & Industry Trends Analysis Report by Application, Process, Technology, Offering, Component, Country and Growth Forecast, 2022-2028

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    Report

  • 153 Pages
  • September 2022
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673895
The Europe Automotive Artificial Intelligence Market would witness market growth of 20.8% CAGR during the forecast period (2022-2028).

Autonomous driving is among the most potential AI applications in the automobile sector. A lot of businesses are already developing systems for autonomous driving. Such systems employ deep learning to interpret sensor and video data so that the vehicle can drive itself. AI may be utilized to create improved driver support systems in complement to autonomous driving (ADAS). Such systems employ AI to present the driver with data about the automobile and its surroundings and to aid the driver in making important decisions.

In the automobile industry, where incorrectly built components and products may literally be fatal, the quality control stakes are enormous. Changes in lighting, camera movement, and a variety of other mechanical and environmental factors reduce the effectiveness of conventional vision systems. Nevertheless, the power of AI and deep learning has rendered a previously unstable solution resilient and accessible.

The performance of the newest generation of cutting-edge quality control instruments is unaffected by changes in illumination, camera, and/or part location. This not only represents a revolutionary advancement in automated quality control capabilities, but it also enables human quality control professionals to be allocated to more crucial industrial jobs.

Italy is among the most significant motorbike markets in Europe. The Italian two- and three-wheeler industry produces 300,000 units annually and is the top in Europe. Germany's automobile sector and engineering prowess are well-known around the world. Germany is by a considerable margin Europe's top manufacturing and retail market. The nation's top-class R&D infrastructure, seamless integration of the industry's value chain, and highly qualified workforce produce a world-leading automotive environment. It allows businesses to design cutting-edge solutions that properly answer the mobility requirements of the future.

The Germany market dominated the Europe Automotive Artificial Intelligence Market by Country in 2021; thereby, achieving a market value of $487.7 million by 2028. The UK market would showcase a CAGR of 19.8% during (2022-2028). Additionally, The France market is anticipated to grow at a CAGR of 21.7% during (2022-2028).

Based on Application, the market is segmented into Human-Machine Interface, Driver Monitoring, Autonomous & Semi-autonomous Driving, Identity Authentication, and Autonomous Driving Processor Chips. Based on Process, the market is segmented into Signal Recognition, Image Recognition, and Data Mining. Based on Technology, the market is segmented into Deep Learning, Machine Learning & Computer Vision, Natural Language Processing, and Context- aware Computing. Based on Offering, the market is segmented into Software and Hardware. Based on Component, the market is segmented into Graphics Processing Unit (GPU), Microprocessors (Including ASIC), Field Programmable Gate Array (FPGA), Memory & Storage Systems, Image Sensors, Biometric Scanners, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, Google LLC (Alphabet, Inc.), Intel Corporation, Qualcomm Inc., Nvidia Corporation, Harman International Industries, Inc. (Samsung Electronics Co., Ltd.), Hyundai Motor Company, Mitsubishi Electric Corporation and Tesla, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Application

  • Human-Machine Interface
  • Driver Monitoring
  • Autonomous & Semi-autonomous Driving
  • Identity Authentication
  • Autonomous Driving Processor Chips

By Process

  • Signal Recognition
  • Image Recognition
  • Data Mining

By Technology

  • Deep Learning
  • Machine Learning & Computer Vision
  • Natural Language Processing
  • Context- aware Computing

By Offering

  • Software
  • Hardware

By Component

  • Graphics Processing Unit (GPU)
  • Microprocessors (Including ASIC)
  • Field Programmable Gate Array (FPGA)
  • Memory & Storage Systems
  • Image Sensors
  • Biometric Scanners
  • Others

By Country

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Key Market Players

List of Companies Profiled in the Report:

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet, Inc.)
  • Intel Corporation
  • Qualcomm Inc.
  • Nvidia Corporation
  • Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
  • Hyundai Motor Company
  • Mitsubishi Electric Corporation
  • Tesla, Inc.

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Automotive Artificial Intelligence Market, by Application
1.4.2 Europe Automotive Artificial Intelligence Market, by Process
1.4.3 Europe Automotive Artificial Intelligence Market, by Technology
1.4.4 Europe Automotive Artificial Intelligence Market, by Offering
1.4.5 Europe Automotive Artificial Intelligence Market, by Component
1.4.6 Europe Automotive Artificial Intelligence Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Acquisition and Mergers: 2019, Oct - 2022, Sep) Leading Players
Chapter 4. Europe Automotive Artificial Intelligence Market by Application
4.1 Europe Human-Machine Interface Market by Country
4.2 Europe Driver Monitoring Market by Country
4.3 Europe Autonomous & Semi-autonomous Driving Market by Country
4.4 Europe Identity Authentication Market by Country
4.5 Europe Autonomous Driving Processor Chips Market by Country
Chapter 5. Europe Automotive Artificial Intelligence Market by Process
5.1 Europe Signal Recognition Market by Country
5.2 Europe Image Recognition Market by Country
5.3 Europe Data Mining Market by Country
Chapter 6. Europe Automotive Artificial Intelligence Market by Technology
6.1 Europe Deep Learning Market by Country
6.2 Europe Machine Learning & Computer Vision Market by Country
6.3 Europe Natural Language Processing Market by Country
6.4 Europe Context- aware Computing Market by Country
Chapter 7. Europe Automotive Artificial Intelligence Market by Offering
7.1 Europe Software Market by Country
7.2 Europe Hardware Market by Country
Chapter 8. Europe Automotive Artificial Intelligence Market by Component
8.1 Europe Graphics Processing Unit (GPU) Market by Country
8.2 Europe Microprocessors (Including ASIC) Market by Country
8.3 Europe Field Programmable Gate Array (FPGA) Market by Country
8.4 Europe Memory & Storage Systems Market by Country
8.5 Europe Image Sensors Market by Country
8.6 Europe Biometric Scanners Market by Country
8.7 Europe Others Market by Country
Chapter 9. Europe Automotive Artificial Intelligence Market by Country
9.1 Germany Automotive Artificial Intelligence Market
9.1.1 Germany Automotive Artificial Intelligence Market by Application
9.1.2 Germany Automotive Artificial Intelligence Market by Process
9.1.3 Germany Automotive Artificial Intelligence Market by Technology
9.1.4 Germany Automotive Artificial Intelligence Market by Offering
9.1.5 Germany Automotive Artificial Intelligence Market by Component
9.2 UK Automotive Artificial Intelligence Market
9.2.1 UK Automotive Artificial Intelligence Market by Application
9.2.2 UK Automotive Artificial Intelligence Market by Process
9.2.3 UK Automotive Artificial Intelligence Market by Technology
9.2.4 UK Automotive Artificial Intelligence Market by Offering
9.2.5 UK Automotive Artificial Intelligence Market by Component
9.3 France Automotive Artificial Intelligence Market
9.3.1 France Automotive Artificial Intelligence Market by Application
9.3.2 France Automotive Artificial Intelligence Market by Process
9.3.3 France Automotive Artificial Intelligence Market by Technology
9.3.4 France Automotive Artificial Intelligence Market by Offering
9.3.5 France Automotive Artificial Intelligence Market by Component
9.4 Russia Automotive Artificial Intelligence Market
9.4.1 Russia Automotive Artificial Intelligence Market by Application
9.4.2 Russia Automotive Artificial Intelligence Market by Process
9.4.3 Russia Automotive Artificial Intelligence Market by Technology
9.4.4 Russia Automotive Artificial Intelligence Market by Offering
9.4.5 Russia Automotive Artificial Intelligence Market by Component
9.5 Spain Automotive Artificial Intelligence Market
9.5.1 Spain Automotive Artificial Intelligence Market by Application
9.5.2 Spain Automotive Artificial Intelligence Market by Process
9.5.3 Spain Automotive Artificial Intelligence Market by Technology
9.5.4 Spain Automotive Artificial Intelligence Market by Offering
9.5.5 Spain Automotive Artificial Intelligence Market by Component
9.6 Italy Automotive Artificial Intelligence Market
9.6.1 Italy Automotive Artificial Intelligence Market by Application
9.6.2 Italy Automotive Artificial Intelligence Market by Process
9.6.3 Italy Automotive Artificial Intelligence Market by Technology
9.6.4 Italy Automotive Artificial Intelligence Market by Offering
9.6.5 Italy Automotive Artificial Intelligence Market by Component
9.7 Rest of Europe Automotive Artificial Intelligence Market
9.7.1 Rest of Europe Automotive Artificial Intelligence Market by Application
9.7.2 Rest of Europe Automotive Artificial Intelligence Market by Process
9.7.3 Rest of Europe Automotive Artificial Intelligence Market by Technology
9.7.4 Rest of Europe Automotive Artificial Intelligence Market by Offering
9.7.5 Rest of Europe Automotive Artificial Intelligence Market by Component
Chapter 10. Company Profiles
10.1 Microsoft Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 IBM Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Regional & Segmental Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Google LLC (Alphabet, Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 SWOT Analysis
10.4 Intel Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 NVIDIA Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Product Launches and Product Expansions:
10.6.5.3 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 Hyundai Motor Company
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Partnerships, Collaborations, and Agreements:
10.7.5.2 Product Launches and Product Expansions:
10.7.6 SWOT Analysis
10.8 Tesla, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Product Launches and Product Expansions:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 Qualcomm, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.5.2 Product Launches and Product Expansions:
10.9.5.3 Acquisition and Mergers:
10.10. Mitsubishi Electric Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense

Companies Mentioned

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet, Inc.)
  • Intel Corporation
  • Qualcomm Inc.
  • Nvidia Corporation
  • Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
  • Hyundai Motor Company
  • Mitsubishi Electric Corporation
  • Tesla, Inc.

Methodology

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