商用および産業用マシンビジョンのマーケットデータ 2021年第4四半期

出版:ABI Research(ABIリサーチ) 出版年月:2021年12月

Commercial and Industrial Machine Vision
商用および産業用マシンビジョンのマーケットデータ 2021年第4四半期
Market Data | 4Q 2021 | MD-CIVM-101

図表数 37
種別 英文マーケットデータ(Excel)
価格

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ABIリサーチ「商用および産業用マシンビジョンのマーケットデータ 2021年第4四半期 – Commercial and Industrial Machine Vision」は世界および世界主要地域の商業と産業用途で使用されているマシンビジョン市場を調査し、市場規模、主要カメラメーカーの市場シェア、AIベースのマシンビジョンの実装展望などを分析・解説しています。

主な調査範囲

  • ベンダ別市場シェア
  • 市場全般および各業種の5年予測
  • AIベースのマシンビジョン実装の進化

対象業種

  • 自動車
  • 医療
  • 製造業
  • 小売業
  • スマートビル
  • スマートシティ
  • 運輸とロジスティクス
  • その他

対象地域

  • 北米
  • 欧州
  • アジア太平洋地域
  • その他の地域

Actionable Benefits

  • Formulate the right go-to-market strategy based on the penetration rate of machine vision in seven verticals.
  • Prepare the optimal machine vision product roadmap based on market projection.
  • Learn about the deployment trends of AI-based machine vision in seven verticals.

Critical Questions Answered

  • What is the total market size of the machine vision market in commercial and industrial applications?
  • What is the market share of camera manufacturers?
  • How will AI-based machine vision be implemented?

Research Highlights

  • Market share by vendors.
  • Five-year forecast showing the evolution for the market overall and each vertical.
  • Evolution in the implementation of AI-based machine vision.

Who Should Read This?

  • Decision makers who are looking to invest in machine vision technology.
  • Technology solution providers to camera manufacturers that need to understand the future trends in machine vision.
  • System integrators for industrial applications.

ABIリサーチ「商用および産業用マシンビジョンのマーケットデータ 2021年第4四半期 – Commercial and Industrial Machine Vision」は下記年間契約サービスに属する市場レポートです。

ABIリサーチの年間サービスは特定市場の最新・詳細情報をPDFレポート、EXCELファイル、ニューズレターなどを一年を通じて契約者へ提供しています。当レポート単体でももちろんご購入いただけますが、年間契約サービスをご利用いただくことで、継続的に市場情報を入手いただくことが可能です。詳細はChosaReport.comまでお気軽にお問い合わせください。


目次

Tables

  1. Total Shipments and Installed Base of Camera Systems, World Markets: 2020 to 2027
  2. Total Shipments and Installed Base of Camera Systems by Vertical, World Markets: 2020 to 2027
  3. Total Shipments and Installed Base of Camera Systems by Region, World Markets: 2020 to 2027
  4. Total Installed Base of AI-Enabled Cameras by Location of Implementation, World Markets: 2020 to 2027
  5. Total Revenue of Camera Systems, World Markets: 2020 to 2027
  6. Total Shipments and Installed Base of Camera Systems in Automotive, World Markets: 2020 to 2027
  7. Total Shipments and Installed Base of Camera Systems by Region in Automotive, World Markets: 2020 to 2027
  8. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Automotive, World Markets: 2020 to 2027
  9. Total Revenue of Camera Systems in Automotive, World Markets: 2020 to 2027
  10. Total Shipments and Installed Base of Camera Systems in Healthcare, World Markets: 2020 to 2027
  11. Total Shipments and Installed Base of Camera Systems by Region in Healthcare, World Markets: 2020 to 2027
  12. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Healthcare, World Markets: 2020 to 2027
  13. Total Revenue of Camera Systems in Healthcare, World Markets: 2020 to 2027
  14. Total Shipments and Installed Base of Camera Systems in Manufacturing, World Markets: 2020 to 2027
  15. Total Shipments and Installed Base of Camera Systems by Region in Manufacturing, World Markets: 2020 to 2027
  16. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Manufacturing, World Markets: 2020 to 2027
  17. Total Revenue of Camera Systems in Manufacturing, World Markets: 2020 to 2027
  18. Total Shipments and Installed Base of Camera Systems in Retail, World Markets: 2020 to 2027
  19. Total Shipments and Installed Base of Camera Systems by Region in Retail, World Markets: 2020 to 2027
  20. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Retail, World Markets: 2020 to 2027
  21. Total Revenue of Camera Systems in Retail, World Markets: 2020 to 2027
  22. Total Shipments and Installed Base of Camera Systems in Smart Building, World Markets: 2020 to 2027
  23. Total Shipments and Installed Base of Camera Systems by Region in Smart Building, World Markets: 2020 to 2027
  24. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Smart Building, World Markets: 2020 to 2027
  25. Total Revenue of Camera Systems in Smart Building, World Markets: 2020 to 2027
  26. Total Shipments and Installed Base of Camera Systems in Smart City, World Markets: 2020 to 2027
  27. Total Shipments and Installed Base of Camera Systems by Region in Smart City, World Markets: 2020 to 2027
  28. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Smart City, World Markets: 2020 to 2027
  29. Total Revenue of Camera Systems in Smart City, World Markets: 2020 to 2027
  30. Total Shipments and Installed Base of Camera Systems in Transport and Logistics, World Markets: 2020 to 2027
  31. Total Shipments and Installed Base of Camera Systems by Region in Transport and Logistics, World Markets: 2020 to 2027
  32. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Transport and Logistics, World Markets: 2020 to 2027
  33. Total Revenue of Camera Systems in Transport and Logistics, World Markets: 2020 to 2027
  34. Total Shipments and Installed Base of Camera Systems in Other Verticals, World Markets: 2020 to 2027
  35. Total Shipments and Installed Base of Camera Systems by Region in Other Verticals, World Markets: 2020 to 2027
  36. Total Installed Base of AI-Enabled Cameras by Location of Implementation in Other Verticals, World Markets: 2020 to 2027
  37. Total Revenue of Camera Systems in Other Verticals, World Markets: 2020 to 2027

[プレスリリース]

商用および産業用マシンビジョン市場は2027年までには360億ドルへ

Commercial and Industrial Machine Vision Market to Reach US$36 Billion by 2027

New York, New York – February 09, 2022

Machine vision is rapidly becoming a key enabling technology for digitalization and automation in automotive, healthcare, manufacturing, retail, smart buildings, smart cities, transportation, and logistics. According to ABI Research, a global technology intelligence firm, the total revenue of machine vision technology in the seven major markets is expected to reach US$36 billion by 2027, up from US$21.4 billion in 2022. This growth translates to a CAGR of 11%.

Traditionally, machine vision was primarily focused on surveillance and security, asset monitoring, and defect inspection. These mature applications continue to drive the main bulk of total camera shipments within the enterprise market. However, the industry is going through an exciting phase. The Covid-19 pandemic and the desire for digitalization have led to the emergence of innovative use cases, such as occupancy detection, crowd monitoring, predictive maintenance, high precision automated inspection, automated picking, and sorting systems in warehouses.

“These innovative use cases are expected to drive future growth of the industry. A key enabler of these innovation use cases is Machine Learning (ML), particularly Deep Learning (DL) technology in machine vision. Most, if not all, technology suppliers offer DL-based solutions that are flexible, scalable, and highly efficient. At the same time, enterprises are waking up to the benefits of DL-based machine vision,” said Lian Jye Su, a Principal Analyst at ABI Research. “When combined with factors such as decreasing component and engineering cost, increasing ease of integration with third-party solutions, growing open-source software and toolkits, the barrier to adopt an effective machine vision solution has lowered significantly for many enterprises.”

Moving forward, distributed computing will become the central theme in the implementation of ML in machine vision. Computing platform vendors, such as Intel, NVIDIA, Qualcomm, Xilinx, and NXP, have been actively launching processors that can run ML models on cameras directly, or on gateways and on-premise servers that cameras connect to. Instead of having ML models running in the cloud, these vendors have developed a suite of solutions ranging from ML processors to ML development environment and embedded security enhancement to ensure timely development and deployment of ML models and smooth integration into existing workflows. Furthermore, this domain is expected to become more competitive with the emergence of innovative startups focusing on machine vision at the edge, such as Hailo, Perceive, Syntiant, Mythic, GrAI Matter Labs, and DeGirum.

Currently, hardware revenue is the main component of the revenue at around 89%. However, the share of software and services is expected to grow over time, growing from 11% to 16%. With the emergence of DL-based machine vision, more and more ML solution providers are likely going to build their revenue models around the development, deployment, and maintenance of vertical-specific DL-based machine vision models. For example, Instrumental and Landing AI focus on machine vision solutions for manufacturing, Cipia and Cogniac in video telematics and driver monitoring, Arterys and Lunit in patient diagnosis. “Instead of fully relying on internal expertise, enterprises can partner with these companies to develop targeted solutions together. Such partnerships are critical in reducing the complexity in building and maintaining custom ML models, accelerating time-to-market while maximizing Return On Investment (ROI),” concluded Su.

These findings are from ABI Research’s Commercial and Industrial Machine Vision market data report. This report is part of the company’s Artificial Intelligence and Machine Learning research service, which includes research, data, and ABI Insights. Market Data spreadsheets are composed of deep data, market share analysis, and highly segmented, service-specific forecasts to provide detailed insight where opportunities lie.

About ABI Research

ABI Research is a global technology intelligence firm delivering actionable research and strategic guidance to technology leaders, innovators, and decision makers around the world. Our research focuses on the transformative technologies that are dramatically reshaping industries, economies, and workforces today.


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