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市場調査レポート

コンピュータービジョン技術と市場

Computer Vision Technologies and Markets

発行 Omdia | Tractica 商品コード 933653
出版日 ページ情報 英文 94 Pages; 47 Tables, Charts & Figures
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コンピュータービジョン技術と市場 Computer Vision Technologies and Markets
出版日: 2020年04月22日 ページ情報: 英文 94 Pages; 47 Tables, Charts & Figures
担当者のコメント
Omdia | Tracticaは、AI、ロボティクス、自動運転などの新技術を専門とする世界的な調査会社です。本レポートは、25の産業、69のユースケースにフォーカスし、市場動向や技術問題について分析しております。
概要

コンピュータービジョン (CV) は、過去数年で商品化され、幅広い用途で展開されています。数年前に始まった概念実証は、現在生産に入っています。技術の急速な成長、正確な結果、ハードウェアの低価格、コネクティビティの容易さが、CVの迅速な採用を可能にする要因の一部です。世界のCV市場の収益は、2018年の29億米ドルから、2025年までに335億米ドルまで拡大し、さまざまな業界の多くのユースケースで増加すると予想されています。

当レポートでは、コンピュータービジョン (CV) について調査分析し、CVを取り巻く市場動向と技術課題について、体系的な情報を提供しています。

目次

エグゼクティブサマリー

市場の問題

  • 市場の定義と概要
  • ビジネスモデル
  • 市場促進要因
  • 市場の障壁
  • 規制上の問題
  • 主な市場とユースケース
  • 広範なユースケース
  • 新しいユースケース
  • 地域差

技術の問題

  • コンピュータビジョンの課題
  • コンピュータービジョンのパイプライン
  • マシンビジョン
  • インテリジェンスのロケーション:エッジ、オンプレミス、クラウド
  • 頻繁に使用されるコンピュータービジョンのアルゴリズム
  • コンピュータービジョン市場エコシステム
  • コンピュータビジョンソフトウェア
  • AIとディープラーニング
  • コンピュータビジョンのハードウェアプラットフォーム
  • コンピュータービジョン技術の限界と課題
  • コンピュータービジョンの主要会議
  • 業界団体
  • 大学・研究機関

主な業界企業

  • Amazon
  • Autoliv
  • Avigilon (Motorola Solutionsgが買収)
  • Ambarella
  • Crossmatch (HID GLOBALが買収)
  • Cognex
  • Cruise.ai (General Motorsが買収)
  • DJI
  • Drive.ai (Appleが買収)
  • Facebook
  • Google (Alphabet)
  • Hikvision
  • Intel
  • Megvii (Face ++)
  • NVIDIA
  • Parrot
  • Qualcomm
  • Tesla
  • UBTECH Robotics
  • Velodyne Lidar
  • Videantis
  • Xilinx
  • その他の業界企業

コンピュータビジョン業界

  • 概要
    • 広告
    • 航空宇宙
    • 農業
    • 自動車
    • ビジネスサービス
    • 建設
    • 消費者
    • 防衛
    • エネルギー
    • ファッション
    • 金融サービス
    • 食品・飲料
    • ゲーム
    • 医療
    • IT
    • 製造
    • メディア・エンターテインメント
    • 石油・ガス、鉱業
    • 公共部門
    • 不動産
    • 小売
    • 科学研究
    • スポーツ
    • 通信
    • 輸送

市場予測

  • 予測手法と前提条件
  • コンピュータービジョンソフトウェアの収益
目次
Product Code: CV-20

Use Cases, Technologies, and Applications within 25 Industries for Computer Vision: Global Market Analysis and Forecasts.

Computer vision (CV) has become commercialized in the past few years and is being deployed in a wide range of applications. The proofs-of-concepts that started a few years ago are now going into production. They are creating a new set of problems that are providing opportunities for yet another group of startups. The rapid growth of technology, accurate results, falling price of hardware, and ease of connectivity are some of the factors enabling the rapid global adoption of CV.

Omdia considers CV to be a horizontal market, as the applications are spread across many different use cases. This report focuses on 69 use cases in 25 industries that are tracked by Omdia. CV has enabled many capabilities in products that were part of science fiction until recently. The global CV market has gained significant momentum in the past few years and does not show any sign of slowing down. As of 2020, the market has started figuring out how to use CV technology for commercial benefit. Global CV market revenue is expected to grow across many use cases in different industries, increasing from $2.9bn in 2018 to $33.5bn by 2025.

This Omdia report analyzes the market trends and technology issues surrounding CV. The study examines the industries and use cases and provides profiles of key industry players. Global market forecasts, segmented by region, industry, and use case, extend through 2025. The report also provides a description of various technical hurdles and the different business models used within the CV industry.

Key Questions Addressed:

  • What is computer vision (CV)?
  • Why is it so hard to get a computer to recognize a picture just like humans?
  • What are the current applications for CV systems?
  • What are the key market drivers and challenges for CV systems?
  • What are the most popular use cases for CV?
  • Which CV industry will exhibit the fastest growth?
  • What business models are being used by CV companies?
  • How quickly will the global CV market grow through 2025?
  • What changes have occurred in the CV market in the last couple of years?

Who Needs This Report?

  • Mobile device manufacturers
  • Consumer electronics device manufacturers
  • Industrial automation companies
  • Medical device companies
  • Automotive companies
  • Semiconductor and component vendors
  • Software developers and integrators
  • Government agencies
  • Investor community

Table of Contents

Executive summary

  • Introduction
  • Changes from the last report
  • Key findings
  • Business models
  • Market forecasts

Market Issues

  • Market definition and overview
  • Business models
    • Software as a service
    • Technology licensing and royalties
    • One-time payments
    • Product as a service
    • Subscriptions
    • Payments for compute resources
    • Pay-as-you-go and services
  • Market drivers
    • Need for safety and security
    • Need to optimize law enforcement
    • Need for personal security
    • Need for automation
    • Businesses need to reduce costs
    • Sci-fi-like applications
    • Cooler consumer and gaming applications
    • Falling prices of cameras and sensors
    • Increased safety needs in automotive
    • Government regulations
    • Availability of venture capital and competition
    • Availability of powerful, low cost hardware, and
    • open-source libraries
    • Increased accuracy of computer vision systems
    • Ease of connectivity
  • Market barriers
    • Time to revenue and ramp-up
    • Accuracy and reliability
    • Increase in methods to fool image recognition
    • Pricing and business models
    • Development costs
    • Power consumption
  • Regulatory issues
    • Automotive regulations
    • Drone regulations
    • Export regulations
    • Privacy issues
    • Liability and insurance
  • Key markets and use cases
  • Widely used use cases for computer vision
    • Video surveillance
    • Machine/vehicular object detection, identification,
    • and avoidance
    • Localization and mapping
    • Satellite imagery for geo-analytics
    • Medical image analysis
    • Human emotion analysis
    • Image analysis for journalism
    • Augmented reality/virtual reality development
    • Ad insertions into images and videos
    • Face recognition
    • Food safety
  • New use cases for computer vision
    • Selected popular use cases and applications
    • Automotive (in-cockpit monitoring and driving automation)
    • Machine vision and robotics
    • Drones
    • Surveillance and security
    • Post-event analysis
    • Medical imaging
    • Sports and entertainment
    • Consumer applications
    • Agriculture
    • Retail
  • Regional differences

Technology Issues

  • Computer vision challenges
  • Computer vision pipeline
    • Image processing
    • Image pre-processing
    • Classic computer vision techniques
    • Neural networks and AI
    • Post-processing
  • Machine vision
  • Intelligence location: Edge, on-premise, and cloud
    • Edge systems
    • On-premise systems
    • Cloud-based systems
  • Frequently used computer vision algorithms
    • Facial recognition
    • Optical character recognition
    • Object detection and classification
    • Sentiment segmentation
    • Person tracking
    • Video analytics
    • 3D object recognition
  • Computer vision market ecosystem
  • Computer vision software
    • Open-source computer vision libraries and frameworks
  • AI and deep learning
    • Convolutional neural networks
    • Computer vision training
    • Transfer learning and inference
  • Hardware platforms for computer vision
    • Central processing units/digital signal processors
    • Graphical processing units
    • Field-programmable gate arrays
    • Application-specific integrated circuits
  • Limitations and challenges of computer vision technology
    • Conditions beyond human control
    • Use of supplemental sensors
    • Lack of testing
    • Reliability
    • Training datasets
    • Real-time computation
    • Power consumption
    • Technology expertise in deep learning
    • Availability of middleware and IP for rapid application development
  • Key conferences in computer vision
  • Industry organizations
    • Embedded Vision Alliance
    • European Machine Vision Alliance
    • Automated Imaging Association
  • Universities and research institutions

Key Industry Players

  • Amazon
  • Autoliv
  • Avigilon (acquired by Motorola Solutions)
  • Ambarella
  • Crossmatch (acquired by HID GLOBAL)
  • Cognex
  • Cruise.ai (acquired by General Motors)
  • DJI
  • Drive.ai (acquired by Apple)
  • Facebook
  • Google (Alphabet)
  • Hikvision
  • Intel
  • Megvii (Face ++)
  • NVIDIA
  • Parrot
  • Qualcomm
  • Tesla
  • UBTECH Robotics
  • Velodyne Lidar
  • Videantis
  • Xilinx
  • Other industry players

Computer Vision Industries

  • Overview
    • Advertising
    • Aerospace
    • Agriculture
    • Automotive
    • Business services
    • Construction
    • Consumer
    • Defense
    • Energy
    • Fashion
    • Financial services
    • Food & beverage
    • Gaming
    • Healthcare
    • IT
    • Manufacturing
    • Media & entertainment
    • Oil, gas, and mining
    • Public sector
    • Real estate
    • Retail
    • Scientific research
    • Sports
    • Telecommunications
    • Transportation

Market Forecasts

  • Forecast methodology and assumptions
  • Computer vision software revenue
    • Classic vision vs. deep learning
    • Industries
    • Top use cases
    • Conclusions

Figures

  • A typical computer vision system pipeline
  • Total computer vision software revenue, world markets: 2018-2025
  • Total computer vision software revenue growth rate, world markets: 2019-2025
  • Total computer vision software revenue by technology, world markets: 2018-2025
  • Deep learning revenue as a percentage of total computer vision software revenue, world markets: 2018-2025
  • Total computer vision software revenue by industry, world markets: 2019
  • Total computer vision software revenue by industry, world markets: 2025
  • Computer vision software revenue share, top eight use cases, world markets: 2019
  • Computer vision software revenue share, top eight use cases, world markets: 2025
  • Total computer vision software revenue by region, world markets: 2018-2025 Tables
  • Industries for computer vision and applicability of edge vs. cloud vs. on-premise solutions
  • Intelligence placement of devices and selected vendors
  • Frequently used CV algorithms and challenges
  • CV market ecosystem
  • Hardware platforms for CV applications
  • Other CV industry players
  • Total computer vision software revenue by region, world markets: 2018-2025
  • Total computer vision software revenue growth rate, world 2019- 2025
  • Deep learning revenue as a percentage of total computer vision software revenue, world markets: 2018-2025
  • Total computer vision software revenue by technology, world markets: 2018-2025
  • Total computer vision software revenue by industry, world markets: 2018-2025
  • Total computer vision software revenue by use case, world markets: 2018-2025
  • Computer vision software revenue in the advertising industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the consumer industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the retail sector by use case, world markets: 2018-2025
  • Computer vision software revenue in the manufacturing industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the business services industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the defense sector by use case, world markets: 2018-2025
  • Computer vision software revenue in the media & entertainment industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the financial services industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the sports industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the IT industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the oil, gas, and mining industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the healthcare industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the automotive industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the public sector industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the gaming industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the scientific research industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the fashion industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the agriculture industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the food & beverage industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the aerospace industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the transportation industry by use case, world markets: 2018-2025
  • Computer vision software revenue in telecommunications industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the real estate industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the energy industry by use case, world markets: 2018-2025
  • Computer vision software revenue in the construction industry by use case, world markets: 2018-2025