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自動車用途の人工知能 (AI) 市場の分析・予測:自動運転・パーソナライズドサービス・予知保全・ローカライゼーション & マッピング・センサーデータ融合向けソフトウェア・ハードウェア・サービス

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

発行 Tractica 商品コード 506602
出版日 ページ情報 英文 67 Pages; 69 Tables, Charts & Figures
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自動車用途の人工知能 (AI) 市場の分析・予測:自動運転・パーソナライズドサービス・予知保全・ローカライゼーション & マッピング・センサーデータ融合向けソフトウェア・ハードウェア・サービス 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: 2018年08月15日 ページ情報: 英文 67 Pages; 69 Tables, Charts & Figures
概要

自動車向け人工知能 (AI) ハードウェア、ソフトウェア、およびサービス市場は、2017年の12億米ドルから2025年までに265億米ドルへ拡大する見込みです。

当レポートでは、世界の自動車向け人工知能 (AI) 市場ついて調査し、自動車に搭載されると見込まれる人工知能技術の種類、市場に影響を及ぼすと思われる規制、最大の収益機会を示す市場区分、地域別の収益内訳、および主要企業のプロファイルなどについてまとめています。

第1章 エグゼクティブサマリー

第2章 市場課題

  • 市場成長促進因子
  • データキャプチャーのための機能強化
  • 自動車AIの利用例
  • 市場障壁・課題
  • 規制の疑問
  • 政府規制・規格

第3章 技術的課題

  • AIの定義
  • 教師あり vs. 教師なし学習システム
  • 教師あり学習技術
    • 人工ニューラルネットワーク
    • 決定木
    • 単純ベイズ分類器
  • 教師なし学習技術
    • ディープラーニング
    • クラスタリングアルゴリズム
  • 技術課題
    • 処理能力
    • 速度・レイテンシー
    • 信頼性
  • スマートインタラクション
  • 自然言語処理
  • バイオメトリクス
  • パーソナライゼーション
  • 人工知能技術市場の成長

第4章 主要参入企業

  • AImotive
  • Argo AI
  • Astute Solutions
  • Audi
  • BMW
  • Bosch
  • Bright Box
  • Carnegie Mellon University
  • Cruise Automation
  • Eyeris
  • FiveAI
  • Ford
  • General Motors
  • Google
  • Graphcore
  • Harman International
  • ホンダ
  • 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
  • トヨタ
  • Uber

第5章 市場予測

  • 市場内訳・区分
  • 世界の収益予測
  • 地域の内訳
    • 地域のハードウェア収益
    • 地域のソフトウェア収益
    • 地域のサービス収益
    • 総収益
  • 人工知能ソフトウェア予測
    • マシン/自動車の物体検出・特定・回避
    • パーソナライズドサービス
    • 予知保全向け人工知能ソフトウェア
  • 人工知能ハードウェア予測
  • サービス収益予測
    • クラウド型サービス収益
    • サービス収益の内訳:サービス分類別
  • 結論・提言

第6章 企業ディレクトリー

第7章 頭字語および略語リスト

第8章 目次

第9章 図表

第10章 調査範囲・調査手法・注記など

目次
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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