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汽車用途的人工智能 (AI) 市場分析、預測:自動駕駛、個性化服務、預知保全、本土化 & 製圖、感測器資料融合用軟體、硬體設備、服務

Artificial Intelligence for Automotive Applications - Software, Hardware and Services for Autonomous Driving, Personalized Services, Predictive Maintenance, Localization and Mapping, Sensor Data Fusion and Other Use Cases: Market Analysis and Forecasts

出版商 Tractica 商品編碼 506602
出版日期 內容資訊 英文 67 Pages; 69 Tables, Charts & Figures
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汽車用途的人工智能 (AI) 市場分析、預測:自動駕駛、個性化服務、預知保全、本土化 & 製圖、感測器資料融合用軟體、硬體設備、服務 Artificial Intelligence for Automotive Applications - Software, Hardware and Services for Autonomous Driving, Personalized Services, Predictive Maintenance, Localization and Mapping, Sensor Data Fusion and Other Use Cases: Market Analysis and Forecasts
出版日期: 2018年08月15日內容資訊: 英文 67 Pages; 69 Tables, Charts & Figures
簡介

汽車用人工智能 (AI) 硬體設備,軟體,及服務市場,預計從2017年的12億美元到2025年擴大到265億美元。

本報告提供全球汽車用人工智能 (AI) 市場相關調查,預計汽車搭載的人工智能技術類型,影響市場的法規,顯示最大商機的市場區隔,各地區的收益明細,及主要企業的簡介等相關彙整。

第1章 摘要整理

第2章 市場課題

  • 市場成長的促進要素
  • 資料擷取的功能強化
  • 汽車AI的利用案例
  • 市場障礙、課題
  • 法規的疑問
  • 政府法規、規格

第3章 技術課題

  • AI定義
  • 有教師 vs. 沒有教師學習系統
  • 無教師學習技術
    • 人工神經網
    • 決定架構
    • 單純貝氏分類器
  • 無教師學習技術
    • 深度學習
    • 叢集演算法
  • 技術課題
    • 處理能力
    • 速度、延遲
    • 可靠性
  • 智慧互動
  • 自然語言處理
  • 生物辨識
  • 個性化
  • 人工智能技術市場成長

第4章 主要加入企業

  • AImotive
  • Argo AI
  • Astute Solutions
  • Audi
  • BMW
  • Bosch
  • Bright Box
  • Carnegie Mellon University
  • Cruise Automation
  • Eyeris
  • FiveAI
  • Ford
  • General Motors
  • Google
  • Graphcore
  • Harman International
  • 本田汽車
  • Intel
  • Mercedes-Benz
  • Microsoft
  • Nauto
  • New York Institute of Technology
  • New York University Tanden School of Engineering
  • Nokia
  • Nuance Communications
  • NVIDIA
  • PolySync
  • Tesla
  • Texas Instruments
  • 豐田
  • Uber

第5章 市場預測

  • 市場明細、區分
  • 全球收益預測
  • 地區的明細
    • 地區的硬體設備收益
    • 地區的軟體收益
    • 地區的業務收益
    • 總收益
  • 人工智能軟體預測
    • 機器/汽車的物體檢測、識別、迴避
    • 個性化服務
    • 預知保全用人工智能軟體
  • 人工智能硬體設備預測
  • 業務收益預測
    • 雲端型業務收益
    • 服務收益明細:各服務分類
  • 結論、建議

第6章 企業目錄

第7章 縮寫及簡稱清單

第8章 目錄

第9章 圖表

第10章 調查範圍、調查手法、註記等

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目錄
Product Code: AIA-18

Artificial intelligence (AI) systems, which use data and algorithms to mimic the cognitive functions of the human mind, and have the ability to learn and solve problems independently, are rapidly being deployed across a variety of industries and use cases. The automotive industry is among the industries at the forefront of using AI to mimic, augment, and support the actions of humans, while simultaneously leveraging the advanced reaction times and pinpoint precision of machine-based systems. Indeed, today's semi-autonomous vehicles and the fully autonomous vehicles of the future will rely heavily on AI systems.

Beyond self-driving vehicles, AI can also be used to make life in the car more convenient and safer, for both the driver and the passengers. In-car assistants, driven by natural language processing (NLP) and machine learning techniques, allow the vehicle's systems to respond to voice commands and infer what actions to take, without human intervention. Despite the technological potential of both autonomous vehicles and in-car assistants, an abundance of caution relating to safety concerns, and a desire to ensure users enjoy a smooth, glitch-free experience, these AI systems likely will be deployed gradually. Tractica forecasts that the market for automotive AI hardware, software, and services will reach $26.5 billion by 2025, up from $1.2 billion in 2017.

This Tractica report provides detailed market forecasts for AI hardware, software, and services in the automotive market during the period from 2017 through 2025. The technologies covered include machine learning, deep learning, NLP, computer vision, machine reasoning, and strong AI. The forecast covers 15 key use cases for automotive AI, segmented by world region. Profiles are also included for 31 key participants in the emerging automotive AI market ecosystem.

Key Questions Addressed:

  • What type of artificial intelligence technologies will be deployed in vehicles?
  • What are the most likely uses cases for AI within vehicles?
  • What types of regulatory issues likely will impact the market?
  • What challenges exist in the market, and how are participants responding?
  • Which segment of the market (software, hardware, or services) represents the largest revenue opportunity?
  • Which companies are actively involved in the development and commercialization of automotive-based AI technology?
  • Which regions will see the fastest adoption of automotive AI technology?

Who Needs This Report?

  • Automobile OEMs
  • Automotive suppliers
  • Semiconductor, component, and sensor companies
  • Artificial intelligence software developers
  • Logistics providers
  • Systems integrators
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1. Artificial Intelligence on the Rise
  • 1.2. Market Drivers
    • 1.2.1. Enhanced Safety
    • 1.2.2. Desire for Improved Convenience
    • 1.2.3. New Revenue Streams
  • 1.3. Market Barriers
    • 1.3.1. Technology Challenges
    • 1.3.2. Negative Publicity Related to Driverless Vehicle Accidents
    • 1.3.3. Regulatory Environment
    • 1.3.4. Costs
  • 1.4. Technologies in Use
  • 1.5. Market Forecasts

2. Market Issues

  • 2.1. Market Drivers
    • 2.1.1. Autonomous Driving
    • 2.1.2. Driver and Passenger Personalization and Enhancement
  • 2.2. Enhanced Ability to Capture Data
    • 2.2.1. Significant Improvement in AI Technologies
      • 2.2.1.1. Machine Learning
      • 2.2.1.2. Neural Networks
    • 2.2.2. Advances in Hardware
  • 2.3. Automotive AI Use Cases
    • 2.3.1. Semi-Autonomous Driving
    • 2.3.2. Anomaly and Object Detection
    • 2.3.3. Automated On-Road Customer Service
    • 2.3.4. Autonomous and Semi-Autonomous Cars
    • 2.3.5. Autonomous and Semi-Autonomous Trucks
    • 2.3.6. Autonomous Driverless Taxis
    • 2.3.7. Autonomous People Shuttles
    • 2.3.8. Building Generative Models of the Real World
    • 2.3.9. Driver Face Analytics and Emotion Recognition
    • 2.3.10. Gesture Recognition
    • 2.3.11. Object Detection and Classification; Avoidance, Navigation
    • 2.3.12. Personalization and Customization of On-Demand Taxi Services
    • 2.3.13. Personalized Self-Learning Cars
    • 2.3.14. Driverless Trucks
    • 2.3.15. Predicting Demand for On-Demand Taxis
    • 2.3.16. Predictive Maintenance
    • 2.3.17. Sensor Data Fusion
    • 2.3.18. Vehicle Localization and Mapping
    • 2.3.19. Vehicle-to-Grid
    • 2.3.20. Vehicle to Retail
    • 2.3.21. Insurance
    • 2.3.21.1. Pay-as-You-Drive
    • 2.3.21.2. Pay-How-You-Drive
    • 2.3.22. Virtual Testing and Simulation for Racing Cars
  • 2.4. Market Barriers and Challenges
    • 2.4.1. Complexity of Tasks
    • 2.4.2. Cost of Processors and Algorithm Development
    • 2.4.3. Data Privacy Issues
    • 2.4.4. Cybersecurity Concerns
    • 2.4.5. Technology and Ecosystem Complexity
    • 2.4.6. Negative Publicity Surrounding Accidents with Autonomous Vehicle Technology
  • 2.5. Regulatory Questions
  • 2.6. Government Regulations and Standards
    • 2.6.1. SAE International
    • 2.6.2. U.S. Department of Transportation
    • 2.6.3. European Union and European Commission

3. Technology Issues

  • 3.1. Definition of AI
  • 3.2. Supervised versus Unsupervised Learning Systems
  • 3.3. Supervised Learning Technologies
    • 3.3.1. Artificial Neural Networks
    • 3.3.2. Decision Trees
    • 3.3.3. Naïve Bayes Classifiers
  • 3.4. Unsupervised Learning Technologies
    • 3.4.1. Deep Learning
    • 3.4.2. Clustering Algorithms
  • 3.5. Technical Challenges
    • 3.5.1. Processing Power
    • 3.5.2. Speed and Latency
    • 3.5.3. Reliability
  • 3.6. Smart Interaction
  • 3.7. Natural Language Processing
  • 3.8. Biometrics
  • 3.9. Personalization
  • 3.10. AI Technology Market Growth

4. Key Industry Players

  • 4.1. AImotive
  • 4.2. Argo AI
  • 4.3. Astute Solutions
  • 4.4. Audi
  • 4.5. BMW
  • 4.6. Bosch
  • 4.7. Bright Box
  • 4.8. Carnegie Mellon University
  • 4.9. Cruise Automation
  • 4.10. Eyeris
  • 4.11. FiveAI
  • 4.12. Ford
  • 4.13. General Motors
  • 4.14. Google
  • 4.15. Graphcore
  • 4.16. Harman International
  • 4.17. Honda
  • 4.18. Intel
  • 4.19. Mercedes-Benz
  • 4.20. Microsoft
  • 4.21. Nauto
  • 4.22. New York Institute of Technology
  • 4.23. New York University Tandon School of Engineering
  • 4.24. Nokia
  • 4.25. Nuance Communications
  • 4.26. NVIDIA
  • 4.27. PolySync
  • 4.28. Tesla
  • 4.29. Texas Instruments
  • 4.30. Toyota
  • 4.31. Uber

5. Market Forecasts

  • 5.1. Market Breakdown and Segmentation
  • 5.2. Global Revenue Forecasts
  • 5.3. Regional Breakouts
    • 5.3.1. Regional Hardware Revenue
    • 5.3.2. Regional Software Revenue
    • 5.3.3. Regional Services Revenue
    • 5.3.4. Total Revenue
  • 5.4. AI Software Forecasts
    • 5.4.1. Machine/Vehicular Object Detection, Identification, and Avoidance
    • 5.4.2. Personalized Services in Cars
    • 5.4.3. AI Software for Predictive Maintenance
  • 5.5. AI Hardware Forecasts
  • 5.6. Services Revenue Forecasts
    • 5.6.1. Cloud-Based Services Revenue
    • 5.6.2. Services Revenue Breakouts by Service Category
  • 5.7. Conclusions and Recommendations

6. Company Directory

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study, Sources and Methodology, Notes

Charts

  • Automotive AI Total Revenue by Segment, World Markets: 2017-2025
  • Automotive AI Total Software, Service, and Hardware Revenue by Region, World Markets: 2017-2025
  • Automotive AI Hardware Revenue by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue by Region, World Markets: 2017-2025
  • Automotive AI Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI Total Software, Service, and Hardware Revenue by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue by Use Case, World Markets: 2017-2025
  • Automotive AI Software Revenue for Machine/Vehicular Object Detection/Identification/Avoidance by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Building Generative Models of the Real World by Region, World Markets: 2017- 2025
  • Automotive AI Software Revenue for Personalized Services in Cars by Region, World Markets: 2017-2025
  • Automotive AI-Driven Hardware Revenue by Product Category, World Markets: 2016-2015
  • Automotive AI-Driven Cloud Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Services Revenue by Service Category: 2017-2025
  • Automotive AI Software Revenue for Voice/Speech Recognition by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Simulating Worlds for AI Training by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Predictive Maintenance by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Localization and Mapping by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Sensor Data Fusion in Machinery by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Predicting Demand for On-Demand Taxis by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Automated On-Road Customer Service by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Vehicle Network and Data Security by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Truck Platooning by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Virtual Testing and Simulation for Racing Cars by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Driver Face Analytics and Emotion Recognition by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Gesture Recognition by Region, World Markets: 2017-2025
  • Automotive AI-Driven Cloud Services Revenue, World Markets: 2017-2025
  • Automotive AI-Driven CPU, ASIC, FPGA Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven GPU Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Network Products Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Storage Devices Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Installation Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Training Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Customization Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Application Integration Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Support and Maintenance Services Revenue by Region, World Markets: 2017-2025 Tables
  • Automotive AI Software Revenue by Region, World Markets: 2017-2025
  • Automotive AI Total Revenue by Segment, World Markets: 2017-2025
  • Automotive AI Hardware Revenue by Region, World Markets: 2017-2025
  • Automotive AI Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI Total Software, Service, and Hardware Revenue by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue by Use Case, World Markets: 2017-2025
  • Automotive AI Software Revenue for Machine/Vehicular Object Detection/Identification/Avoidance by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Building Generative Models of the Real World by Region, World Markets: 2017- 2025
  • Automotive AI Software Revenue for Voice/Speech Recognition by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Personalized Services in Cars by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Simulating Worlds for AI Training by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Predictive Maintenance by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Localization and Mapping by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Sensor Data Fusion in Machinery by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Predicting Demand for On-Demand Taxis by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Automated On-Road Customer Service by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Vehicle Network and Data Security by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Truck Platooning by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Virtual Testing and Simulation for Racing Cars by Region, World Markets: 2017-2025
  • Automotive AI Software Revenue for Driver Face Analytics and Emotion Recognition by Region, World Markets: 2017- 2025
  • Automotive AI Software Revenue for Gesture Recognition by Region, World Markets: 2017-2025
  • Automotive AI-Driven Hardware Revenue by Product Category, World Markets: 2016-2015
  • Automotive AI-Driven Cloud Services Revenue, World Markets: 2017-2025
  • Automotive AI-Driven Cloud Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven CPU, ASIC, FPGA Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven GPU Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Network Products Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Storage Devices Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Services Revenue by Service Category: 2017-2025
  • Automotive AI-Driven Installation Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Training Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Customization Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Application Integration Services Revenue by Region, World Markets: 2017-2025
  • Automotive AI-Driven Support and Maintenance Services Revenue by Region, World Markets: 2017-2025
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