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市場調查報告書

汽車用AI的全球市場 ∼2025年:深度學習、機器學習、電腦視覺、情境感知、自然語言處理

Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025

出版商 MarketsandMarkets 商品編碼 550944
出版日期 內容資訊 英文 205 Pages
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汽車用AI的全球市場 ∼2025年:深度學習、機器學習、電腦視覺、情境感知、自然語言處理 Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025
出版日期: 2017年08月29日 內容資訊: 英文 205 Pages
簡介

全球汽車用AI的市場預計從2017年到2025年以38.46%的年複合成長率發展,從2017年的7億8290萬美元,成長到2025年的105億7330萬美元的規模。自動駕駛車的出現與ACC,盲點警告,ADAS等業界標準的崛起等要素預計促進市場成長。

本報告提供全球汽車用AI的市場調查,市場定義和概要,市場成長的各種影響因素及市場機會分析,技術趨勢,各提供內容、技術、流程、用途、地區/主要國家趨勢與市場規模的變化與預測,競爭環境,以及主要企業的簡介等彙整。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 重要的市場機會
  • 市場變化與預測:各提供內容
  • 各技術市場
  • 市場概要:各用途、地區
  • 各地區市場

第5章 市場概要

  • 簡介
  • 市場動態
    • 成長推動因素
    • 阻礙成長要素
    • 市場機會
    • 課題

第6章 技術概要

  • 簡介
  • 目前利用案例
    • HMI
    • 預知保全
    • 自動駕駛車
    • ADAS
    • 精密技術、製圖技術
    • 其他

第7章 市場分析:各提供內容

  • 簡介
  • 硬體設備
    • 諾伊曼型架構
    • 神經形態架構
  • 軟體
    • 解決方案
    • 平台

第8章 市場分析:各技術

  • 簡介
  • 深度學習
  • 機器學習
  • 電腦視覺
  • 情境感知
  • 自然語言處理

第9章 市場分析:各流程

  • 簡介
  • 信號認識
  • 影像識別
  • 資料探勘

第10章 市場分析:各用途

  • 簡介
  • HMI
  • 半自動駕駛
  • 自動駕駛

第11章 地區分析

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 其他地區

第12章 競爭環境

  • 概要
  • 市場排行榜分析
  • 競爭領導製圖
  • 競爭基準

第13章 企業簡介

  • NVIDIA CORPORATION
  • ALPHABET INC.
  • INTEL CORPORATION
  • MICROSOFT CORPORATION
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • HARMAN INTERNATIONAL INDUSTRIES, INC.
  • XILINX INC.
  • QUALCOMM INC.
  • TESLA, INC.
  • VOLVO CAR CORPORATION
  • BAYERISCHE MOTOREN WERKE AG
  • AUDI AG
  • GENERAL MOTORS COMPANY
  • FORD MOTOR COMPANY
  • 豐田汽車
  • 本田技研工業
  • HYUNDAI MOTOR COMPANY
  • DAIMLER AG
  • UBER TECHNOLOGIES, INC.
  • DIDI CHUXING
  • Start-Ups企業的生態系統

第14章 附錄

目錄
Product Code: SE 5533

"Automotive artificial intelligence (AI) market is expected to grow at a CAGR of 38.46% between 2017 and 2025"

The automotive AI market is expected to be valued at USD 782.9 million in 2017 and is expected to reach USD 10,573.3 million by 2025, at a CAGR of 38.46% between 2017 and 2025. The automotive AI market is expected to exhibit a significant growth between 2017 and 2025. The emergence of autonomous vehicle and industry-wide standards such as the adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the automotive AI market. However, the growing demand for convenience and safety presents an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

"Signal Recognition is expected to hold the largest market share in 2017"

Signal recognition is a method of generating result with the help of speech, visible patterns, and sound. The signals generally refer to the voice or the sound produced by machine or human being, which can be detected by natural language processing (NLP) machines to generate a result. Signal recognition is an important part of HMI, autonomous, and semi-autonomous driving applications as it can be used for traffic sign detection, driver assistance system, and several other uses. These factors make signal recognition the largest market, by process, in the automotive AI market.

"Market for autonomous driving application is expected to grow at the highest rate between 2017 and 2025"

Autonomous vehicle is the main target of the AI technology in the automobile industry. In full self-driving vehicles, the system performs all driving functions on all road types, at all speed ranges and environmental situations. While fully autonomous cars have not yet entered the market, but several companies are committing to their development in the near future. Some companies have begun testing of autonomous cars on city roads as well, with Google's Waymo leading with almost 3 million self-driven miles on city streets.

"Automotive AI market in APAC is expected to grow at the highest rate between 2017 and 2025"

APAC houses some of the established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan). Countries in APAC, such as South Korea and Japan, have strong technological capabilities. The region, therefore, represents a balanced blend of demand and technology, making it an ideal investment for any OEM.

North America is expected to be the major contributor to the automotive AI market in 2017. The growth will likely be driven by two key factors: rapid development of autonomous vehicle technology and the strict government regulation for road safety. For instance, in 2016, the US government has spent USD 4 billion to accelerate the acceptance of autonomous vehicles on US roads. The automotive industry in the US is a highly advanced industry, with the "big three"-Ford Motor Company, General Motors, and Fiat-Chrysler Automotive-continuously upgrading their product portfolios.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with people holding key positions across several regions. The breakup of the profile of primary participants has been given below.

  • By Company Type: Tier 1-30 %, Tier 2-45%, and Tier 3-25%
  • By Designation: C-Level Executives-35%, Manager Level-40%, and Others (Sales, Marketing, and Product Managers)-25%
  • By Region: North America-30%, Europe-45%, APAC-20%, and RoW-5%

The companies covered in the automotive AI market are NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (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 from the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

Research Coverage:

The automotive AI market has been segmented on the basis of offering, technology, process, application, and region. The market, on the basis of offering, has been segmented into hardware and software. On the basis of technology, the market has been segmented into deep learning, machine learning, context awareness, computer vision, and natural language processing. On the basis of process, the market is segmented into signal recognition, image recognition, and data mining. The market, on the basis of application, has been segmented into human-machine interface, semi-autonomous driving, and autonomous driving.

Reasons to Buy the Report:

The report would help the market leaders/new entrants in this market in the following ways:

  • 1. This report segments the automotive AI market comprehensively and provides the closest approximation of the size of the overall market and its sub-segments for various applications across different regions.
  • 2. The report helps stakeholders understand the pulse of the market and provides them with the information on key market drivers, restraints, challenges, and opportunities pertaining to the market.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. STUDY SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THIS STUDY
  • 1.4. CURRENCY
  • 1.5. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. DEMAND- AND SUPPLY-SIDE ANALYSIS OF AUTOMOTIVE AI MARKET
    • 2.2.1. INTRODUCTION
    • 2.2.2. DEMAND SIDE ANALYSIS
      • 2.2.2.1. Growth in luxury vehicle sales
      • 2.2.2.2. Increasing traffic congestions due to rising urbanization around the globe
    • 2.2.3. SUPPLY SIDE ANALYSIS
      • 2.2.3.1. Rising demand for safety, convenience, and comfort applications in vehicle
  • 2.3. MARKET SIZE ESTIMATION
    • 2.3.1. BOTTOM-UP APPROACH
    • 2.3.2. TOP-DOWN APPROACH
  • 2.4. MARKET BREAKDOWN & DATA TRIANGULATION
  • 2.5. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE AUTOMOTIVE AI MARKET
  • 4.2. AUTOMOTIVE AI MARKET, BY OFFERING, 2017-2025(USD BILLION)
  • 4.3. AUTOMOTIVE AI MARKET, BY TECHNOLOGY
  • 4.4. SNAPSHOT OF THE AUTOMOTIVE AI MARKET BASED ON APPLICATION AND REGION
  • 4.5. AUTOMOTIVE AI MARKET, BY REGION

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Increasing government regulations for vehicle safety and the growing adoption of ADAS technology by OEMs
      • 5.2.1.2. Rising demand for enhanced user experience and convenience features
      • 5.2.1.3. Rising trend of autonomous vehicles
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Increase in the overall cost of a vehicle
      • 5.2.2.2. Threat to cyber security of vehicles
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Increasing demand for premium segment vehicles
      • 5.2.3.2. Sensor fusion
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Maintaining the balance between cost and quality

6. TECHNOLOGICAL OVERVIEW OF AUTOMOTIVE AI MARKET

  • 6.1. INTRODUCTION
  • 6.2. CURRENT USE CASES IN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET
    • 6.2.1. HUMAN-MACHINE INTERFACE
    • 6.2.2. PREDICTIVE MAINTENANCE
    • 6.2.3. AUTONOMOUS VEHICLE
    • 6.2.4. ADVANCED DRIVER ASSISTANCE SYSTEM
    • 6.2.5. PRECISION AND MAPPING
    • 6.2.6. OTHERS

7. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING

  • 7.1. INTRODUCTION
  • 7.2. HARDWARE
    • 7.2.1. VON NEUMANN ARCHITECTURE
    • 7.2.2. NEUROMORPHIC ARCHITECTURE
  • 7.3. SOFTWARE
    • 7.3.1. SOLUTIONS
    • 7.3.2. PLATFORMS

8. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY

  • 8.1. INTRODUCTION
  • 8.2. DEEP LEARNING
  • 8.3. MACHINE LEARNING
  • 8.4. COMPUTER VISION
  • 8.5. CONTEXT AWARENESS
  • 8.6. NATURAL LANGUAGE PROCESSING

9. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY PROCESS

  • 9.1. INTRODUCTION
  • 9.2. SIGNAL RECOGNITION
  • 9.3. IMAGE RECOGNITION
  • 9.4. DATA MINING

10. AUTOMOTIVE AI MARKET, BY APPLICATION

  • 10.1. INTRODUCTION
  • 10.2. HUMAN-MACHINE INTERFACE
  • 10.3. SEMI-AUTONOMOUS DRIVING
  • 10.4. AUTONOMOUS VEHICLE

11. GEOGRAPHIC ANALYSIS

  • 11.1. INTRODUCTION
  • 11.2. NORTH AMERICA
    • 11.2.1. US
    • 11.2.2. CANADA
    • 11.2.3. MEXICO
  • 11.3. EUROPE
    • 11.3.1. GERMANY
    • 11.3.2. FRANCE
    • 11.3.3. UK
    • 11.3.4. REST OF EUROPE
  • 11.4. ASIA PACIFIC
    • 11.4.1. CHINA
    • 11.4.2. JAPAN
    • 11.4.3. SOUTH KOREA
    • 11.4.4. REST OF APAC
  • 11.5. REST OF THE WORLD
    • 11.5.1. SOUTH AMERICA
    • 11.5.2. MIDDLE EAST AND AFRICA

12. COMPETITIVE LANDSCAPE

  • 12.1. OVERVIEW
  • 12.2. MARKET RANKING ANALYSIS
  • 12.3. COMPETITIVE LEADERSHIP MAPPING
    • 12.3.1. VISIONARY LEADERS
    • 12.3.2. DYNAMIC DIFFERENTIATORS
    • 12.3.3. INNOVATORS
    • 12.3.4. EMERGING COMPANIES
  • 12.4. COMPETITIVE BENCHMARKING
    • 12.4.1. BUSINESS STRATEGY EXCELLENCE (25 COMPANIES)
    • 12.4.2. STRENGTH OF PRODUCT PORTFOLIO (25 COMPANIES)

25 Companies analyzed across this ecosystem are - NVIDIA (US), IBM (US), Intel (US), Microsoft (US), Alphabet (US), Baidu (China), AImotive (Hungary), Nauto (US), nuTonomy (US), Zoox (US), drive.ai (US), Nuro (US), BRAIQ (US), Graphcore (UK), NeuroControls (South Korea), FiveAI (UK), General Vision (US), BrainChip (US), Nuance Communications (US), Argo AI (US), Xilinx (US), Harman International Industries (US), Qualcomm (US), ARM Holdings (UK), Advanced Micro Devices (US)

13. COMPANY PROFILES (Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MNM View, Key Relationships)*

  • 13.1. NVIDIA CORPORATION
  • 13.2. ALPHABET INC.
  • 13.3. INTEL CORPORATION
  • 13.4. MICROSOFT CORPORATION
  • 13.5. INTERNATIONAL BUSINESS MACHINES CORPORATION
  • 13.6. HARMAN INTERNATIONAL INDUSTRIES, INC.
  • 13.7. XILINX INC.
  • 13.8. QUALCOMM INC.
  • 13.9. TESLA, INC.
  • 13.10. VOLVO CAR CORPORATION
  • 13.11. BAYERISCHE MOTOREN WERKE AG
  • 13.12. AUDI AG
  • 13.13. GENERAL MOTORS COMPANY
  • 13.14. FORD MOTOR COMPANY
  • 13.15. TOYOTA MOTOR CORPORATION
  • 13.16. HONDA MOTOR CO. LTD.
  • 13.17. HYUNDAI MOTOR COMPANY
  • 13.18. DAIMLER AG
  • 13.19. UBER TECHNOLOGIES, INC.
  • 13.20. DIDI CHUXING
  • 13.21. START-UP ECOSYSTEM
    • 13.21.1. AIMOTIVE
    • 13.21.2. NAUTO, INC.
    • 13.21.3. NUTONOMY
    • 13.21.4. ZOOX INC.
    • 13.21.5. DRIVE.AI, INC.

*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MNM View, Key Relationships might not be captured in case of unlisted companies.

14. APPENDIX

  • 14.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2. DISCUSSION GUIDE
  • 14.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 14.5. AVAILABLE CUSTOMIZATION
  • 14.6. RELATED REPORTS
  • 14.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: LUXURY VEHICLE SALES OF KEY MANUFACTURERS, INDIA, 2013-2015
  • TABLE 2: LUXURY VEHICLE SALES OF KEY MANUFACTURERS, CHINA, 2013-2015
  • TABLE 3: REGULATIONS FOR DRIVER ASSISTANCE SYSTEMS
  • TABLE 4: AUTONOMOUS DRIVING ATTEMPTS AMONG AUTOMAKERS
  • TABLE 5: NUMBER OF LUXURY PASSENGER CARS SOLD BY KEY MANUFACTURERS IN CHINA, INDIA, GERMANY, & UK, 2014-2015
  • TABLE 6: AUTOMOTIVE AI MARKET, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 7: AUTOMOTIVE AI HARDWARE MARKET, BY COMPUTING TYPE, 2015-2025 (USD MILLION)
  • TABLE 8: AUTOMOTIVE AI HARDWARE MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 9: AUTOMOTIVE AI HARDWARE MARKET, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 10: AUTOMOTIVE AI SOFTWARE MARKET, BY SOFTWARE TYPE, 2015-2025 (USD MILLION)
  • TABLE 11: AUTOMOTIVE AI SOFTWARE MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 12: AUTOMOTIVE AI SOFTWARE MARKET, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 13: AUTOMOTIVE AI MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 14: AUTOMOTIVE AI MARKET FOR DEEP LEARNING TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 15: AUTOMOTIVE AI MARKET FOR DEEP LEARNING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 16: AUTOMOTIVE AI MARKET FOR DEEP LEARNING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 17: AUTOMOTIVE AI MARKET FOR MACHINE LEARNING TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 18: AUTOMOTIVE AI MARKET FOR MACHINE LEARNING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 19: AUTOMOTIVE AI MARKET FOR MACHINE LEARNING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 20: AUTOMOTIVE AI MARKET FOR COMPUTER VISION TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 21: AUTOMOTIVE AI MARKET FOR COMPUTER VISION, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 22: AUTOMOTIVE AI MARKET FOR COMPUTER VISION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 23: AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 24: AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 25: AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 26: AUTOMOTIVE AI MARKET FOR NLP TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 27: AUTOMOTIVE AI MARKET FOR NLP, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 28: AUTOMOTIVE AI MARKET, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 29: AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 30: AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 31: AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 32: AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 33: AUTOMOTIVE AI MARKET FOR DATA MINING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 34: AUTOMOTIVE AI MARKET, FOR DATA MINING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 35: AUTOMOTIVE AI MARKET, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 36: AUTOMOTIVE AI MARKET FOR HMI, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 37: AUTOMOTIVE AI MARKET FOR HMI, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 38: AUTOMOTIVE AI MARKET FOR HMI, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 39: AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 40: AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 41: AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 42: AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 43: AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 44: AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 45: AUTOMOTIVE AI MARKET, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 46: AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 47: AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 48: AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 49: AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 50: AUTOMOTIVE AI MARKET, NORTH AMERICA, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 51: AUTOMOTIVE AI MARKET, FOR EUROPE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 52: AUTOMOTIVE AI MARKET, FOR EUROPE, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 53: AUTOMOTIVE AI MARKET, FOR EUROPE, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 54: AUTOMOTIVE AI MARKET, FOR EUROPE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 55: AUTOMOTIVE AI MARKET, EUROPE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 56: AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 57: AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 58: AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 59: AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 60: AUTOMOTIVE AI MARKET, ASIA PACIFIC, BY REGION, 2015-2025 (USD MILLION))
  • TABLE 61: AUTOMOTIVE AI MARKET, FOR ROW, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 62: AUTOMOTIVE AI MARKET, FOR ROW, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 63: AUTOMOTIVE AI MARKET, FOR ROW, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 64: AUTOMOTIVE AI MARKET, FOR ROW, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 65: AUTOMOTIVE AI MARKET, ROW, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 66: NVIDIA CORPORATION LED THE AUTOMOTIVE AI MARKET IN 2016

LIST OF FIGURES

  • FIGURE 1: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN
  • FIGURE 2: AVERAGE TRAFFIC CONGESTION, 2015
  • FIGURE 3: URBAN POPULATION, 2005 VS 2015
  • FIGURE 4: TECHNOLOGICAL ADVANCEMENTS IN VEHICLE AUTOMATION
  • FIGURE 5: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 6: MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
  • FIGURE 7: MARKET SIZE ESTIMATION: TOP-DOWN APPROACH
  • FIGURE 8: DATA TRIANGULATION
  • FIGURE 9: AUTOMOTIVE AI MARKET, BY OFFERING, 2017-2025
  • FIGURE 10: AUTOMOTIVE AI MARKET, BY TECHNOLOGY, 2017-2025
  • FIGURE 11: AUTOMOTIVE AI MARKET, BY PROCESS, 2017 VS 2025
  • FIGURE 12: AUTOMOTIVE AI MARKET, BY APPLICATION, 2017-2025
  • FIGURE 13: AUTOMOTIVE AI MARKET, BY REGION, 2017
  • FIGURE 14: AUTOMOTIVE AI MARKET EXPECTED TO GROW AT A STEADY RATE BETWEEN 2017 AND 2025
  • FIGURE 15: SOFTWARE TO HOLD THE LARGEST MARKET IN 2017
  • FIGURE 16: DEEP LEARNING EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 17: HUMAN-MACHINE INTERFACE EXPECTED TO HOLD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET BY APPLICATION IN 2017
  • FIGURE 18: US HELD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET IN 2017
  • FIGURE 19: AUTOMOTIVE AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND RESTRAINTS
  • FIGURE 20: ROAD TRAFFIC DEATH RATE, PER 1,00,000 POPULATION, 2015
  • FIGURE 21: LEVELS OF AUTONOMOUS DRIVING
  • FIGURE 22: SENSOR FUSION
  • FIGURE 23: EVOLUTION OF ARTIFICIAL INTELLIGENCE IN THE AUTOMOTIVE INDUSTRY
  • FIGURE 24: ROLE OF ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE INDUSTRY
  • FIGURE 25: SOFTWARE EXPECTED TO HOLD A LARGER SHARE OF THE AUTOMOTIVE AI MARKET IN 2017
  • FIGURE 26: NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI HARDWARE MARKET DURING THE FORECAST PERIOD
  • FIGURE 27: DEEP LEARNING TECHNOLOGY TO HAVE THE LARGEST MARKET SIZE IN THE AUTOMOTIVE AI MARKET DURING THE FORECAST PERIOD
  • FIGURE 28: DEEP LEARNING EXPECTED TO HOLD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET IN 2017
  • FIGURE 29: NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR DEEP LEARNING DURING THE FORECAST PERIOD
  • FIGURE 30: HMI TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR MACHINE LEARNING DURING THE FORECAST PERIOD 70  
  • FIGURE 31: NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS DURING THE FORECAST PERIOD
  • FIGURE 32: SOFTWARE TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR NATURAL LANGUAGE PROCESSING DURING THE FORECAST PERIOD
  • FIGURE 33: SIGNAL RECOGNITION EXPECTED TO HOLD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET, BY PROCESS, IN 2017
  • FIGURE 34: NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION DURING THE FORECAST PERIOD
  • FIGURE 35: HMI TECHNOLOGY TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION DURING THE FORECAST PERIOD
  • FIGURE 36: NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR DATA MINING DURING THE FORECAST PERIOD
  • FIGURE 37: HMI APPLICATION TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET BY 2025
  • FIGURE 38: NORTH AMERICA EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR HMI APPLICATION DURING THE FORECAST PERIOD
  • FIGURE 39: SIGNAL RECOGNITION EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING APPLICATION DURING THE FORECAST PERIOD
  • FIGURE 40: DEEP LEARNING EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING APPLICATION DURING THE FORECAST PERIOD
  • FIGURE 41: NORTH AMERICA EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET DURING FORECAST PERIOD
  • FIGURE 42: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 43: EUROPE: MARKET SNAPSHOT
  • FIGURE 44: GERMANY EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET IN EUROPE DURING FORECAST PERIOD
  • FIGURE 45: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 46: CHINA EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET IN ASIA PACIFIC DURING FORECAST PERIOD
  • FIGURE 47: COMPANIES ADOPTED PARTNERSHIPS, AGREEMENTS, ALLIANCES, & COLLABORATIONS AS KEY GROWTH STRATEGIES BETWEEN 2015 AND 2017
  • FIGURE 48: AUTOMOTIVE AI MARKET (GLOBAL): COMPETITIVE LEADERSHIP MAPPING, 2017
  • FIGURE 49: NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 50: ALPHABET INC.: COMPANY SNAPSHOT
  • FIGURE 51: INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 52: MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 53: IBM CORPORATION: COMPANY SNAPSHOT
  • FIGURE 54: HARMAN INTERNATIONAL INDUSTRIES, INC.: COMPANY SNAPSHOT
  • FIGURE 55: XILINX INC.: COMPANY SNAPSHOT
  • FIGURE 56: QUALCOMM INC.: COMPANY SNAPSHOT
  • FIGURE 57: TESLA, INC.: COMPANY SNAPSHOT
  • FIGURE 58: VOLVO CAR CORPORATION: COMPANY SNAPSHOT
  • FIGURE 59: BAYERISCHE MOTOREN WERKE AG: COMPANY SNAPSHOT
  • FIGURE 60: AUDI AG: COMPANY SNAPSHOT 164  
  • FIGURE 61: GENERAL MOTORS COMPANY: COMPANY SNAPSHOT
  • FIGURE 62: FORD MOTOR COMPANY: COMPANY SNAPSHOT
  • FIGURE 63: TOYOTA MOTOR CORPORATION: COMPANY SNAPSHOT
  • FIGURE 64: HONDA MOTOR CO. LTD.: COMPANY SNAPSHOT
  • FIGURE 65: HYUNDAI MOTOR COMPANY: COMPANY SNAPSHOT
  • FIGURE 66: DAIMLER AG: COMPANY SNAPSHOT
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