Product Launch (Blog)

Jan, 03 2024

Precision Unleashed: Transforming Industries with Cutting-Edge Industrial Machine Vision for Enhanced Efficiency, Quality, and Innovation

Industrial machine vision enables real-time inspection, quality control, and precise measurements, enhancing production efficiency. By leveraging advanced imaging and artificial intelligence, machine vision systems can identify defects, ensure product consistency, and reduce errors, improving product quality. These technologies increase productivity, minimize waste, and lower production costs. Moreover, industrial machine vision plays a key role in object recognition, tracking, and sorting tasks, making it indispensable for industries seeking precision, speed, and reliability in their operations.

According to Data Bridge Market Research analyses, the Global Industrial Machine Vision Market which was USD 11,150 million in 2022, is expected to reach USD 21,160 million by 2030 and is expected to undergo a CAGR of 8.11% during the forecast period 2023-2030.

"Rise in demand for vision-guided robot systems boosts the market growth"

The surge in the demand for vision-guided robotic systems is a key driver for the global industrial machine vision market. As industries increasingly prioritize automation and efficiency, the need for advanced vision systems that enable robots to perceive and navigate their surroundings becomes crucial. Vision-guided robotic systems leverage industrial machine vision to enhance precision, speed, and adaptability in manufacturing and logistics tasks. This growing reliance on automated systems to streamline operations is propelling the industrial machine vision market as businesses seek innovative solutions to meet the demands of modern industrial processes.

What restraints the growth of the global industrial machine vision market?

“High risk of cyber-attacks hinders the market growth”

The escalating threat of cyber-attacks on industrial machine robots is a significant constraint in global industrial machine vision. As industries increasingly rely on interconnected robotic systems for automation and efficiency, the vulnerability to cyber threats poses a substantial risk. The potential compromise of sensitive data, operational disruptions, and the possibility of unauthorized control over industrial machines contribute to the growing concerns. This heightened risk of cyber-attacks emerges as a notable restraint.

Segmentation: Global Industrial Machine Vision Market

The global industrial machine vision market is segmented on the basis of component, product type, technology, end-user, and application.

  • On the basis of component, the global industrial machine vision market is segmented into hardware, and software
  • On the basis of product type, the global industrial machine vision market is segmented into pc-based machine vision systems, and smart camera-based vision systems
  • 根據技術,全球工業機器視覺市場細分為雷射、成像和增強
  • 根據最終用戶,全球工業機器視覺市場細分為汽車、 消費性電子、電子和半導體、醫療保健、印刷、金屬、木材和紙張、食品和包裝、橡膠和塑膠、製藥、玻璃、機械和太陽能電池板製造
  • 根據應用,全球工業機器視覺市場細分為品質保證和檢測、定位和引導、測量和識別

區域洞察:北美可望主導全球工業機器視覺市場

在各行各業廣泛採用先進技術的推動下,北美預計將主導工業機器視覺市場。預計該地區的主要關鍵參與者將在預測期內進一步推動市場成長。在製造、汽車、製藥和物流領域應用機器視覺系統可以提高效率和品質控制。

由於主要製造業國家和新進業者的湧入,預計亞太地區在 2023 年至 2030 年預測期內工業機器視覺市場將經歷顯著增長。製造業的崛起和競爭的加劇預計將推動區域市場的擴張。

要了解有關該研究的更多信息,請訪問https://www.databridgemarketresearch.com/reports/global-industrial-machine-vision-market

全球工業機器視覺市場的最新發展

  • 2021 年 3 月,康耐視推出了 DataMan 8700 系列,代表了手持條碼掃描器的最新發展,具有全新的平台。該設備性能先進,操作簡便,無需操作員進行任何調整或培訓

全球工業機器視覺市場 的主要參與者包括:

  • 康耐視公司(美國)
  • 巴斯勒股份公司(德國)
  • 歐姆龍株式會社(日本)
  • 基恩士公司(日本)
  • 美國國家儀器公司(美國)
  • 索尼半導體解決方案公司(日本)
  • Teledyne Technologies Inc.(美國)
  • Allied Vision Technologies GmbH(德國)
  • SICK AG(德國)
  • 德州儀器公司(美國)
  • 英特爾公司(美國)
  • 堡盟(瑞士)
  • JAI A/S(丹麥)
  • MVTEC SOFTWARE GMBH(德國)
  • Tordivel AS(挪威)
  • ISRA VISION AG(德國)
  • FLIR系統公司(美國)
  • AMETEK Surface Vision(美國)
  • Quality Technologies Pvt Ltd(印度)
  • Cadence 設計系統公司(美國)

以上是報告中涵蓋的關鍵參與者,要了解更多全球工業機器視覺市場公司聯絡資訊的詳盡列表,請造訪https://www.databridgemarketresearch.com/contact

研究方法:全球工業機器視覺市場

資料收集和基準年分析是使用具有大樣本量的資料收集模組完成的。使用市場統計和相干模型來分析和估計市場數據。此外,市場佔有率分析和關鍵趨勢分析是市場報告中的主要成功因素。 DBMR 研究團隊使用的關鍵研究方法是資料三角測量,其中涉及資料探勘、資料變數對市場的影響分析以及初步(產業專家)驗證。除此之外,資料模型還包括供應商定位網格、市場時間軸分析、市場概覽和指南、公司定位網格、公司市場份額分析、測量標準、全球與區域以及供應商份額分析。如有進一步疑問,請要求分析師致電。


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