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市場調查報告書
商品編碼
1630791
3D 機器視覺市場規模、佔有率和成長分析(按產品、應用和地區)- 產業預測,2025 年至 2032 年3D Machine Vision Market Size, Share, Growth Analysis, By Offering (Hardware, Software), By Product (PC-based, Smart-camera based), By Application, By Region - Industry Forecast 2025-2032 |
2023 年全球 3D 機器視覺市場規模價值 58 億美元,預計將從 2024 年的 65.8 億美元成長到 2032 年的 181.3 億美元,預測期內(2025-2032 年)的複合年成長率為 13.5%。
由於各行各業對品質偵測和自動化的需求不斷增加,3D機器視覺市場預計將經歷顯著成長。特別是包裝、食品和飲料、製藥、化學和汽車等關鍵產業正在推動對視覺引導機器人系統的需求。此外,預計以應用為導向的機器視覺系統將會增加,從而進一步推動預測期內的市場擴張。 3D 機器視覺系統整合了多個攝影機、數位訊號處理和類比數位轉換,使電腦能夠有效率地查看、檢查和分析任務。一旦捕獲資料,這些系統就會對其進行分析以產生準確且理想的結果,從而提高工業應用中的業務效率和品管。
Global 3D Machine Vision Market size was valued at USD 5.8 billion in 2023 and is poised to grow from USD 6.58 billion in 2024 to USD 18.13 billion by 2032, growing at a CAGR of 13.5% during the forecast period (2025-2032).
The machine vision market is poised for significant growth due to increasing demand for quality inspection and automation across various industries. Key sectors such as packaging, food and beverage, pharmaceuticals, chemicals, and automotive are particularly driving the need for vision-guided robotic systems. Additionally, the anticipated rise in application-oriented machine vision systems will further support market expansion during the forecast period. 3D machine vision systems, which integrate multiple video cameras, digital signal processing, and analog-to-digital conversion, enable computers to effectively view, examine, and analyze tasks. Once data is captured, these systems analyze it to produce accurate and desired outcomes, enhancing operational efficiency and quality control in industrial applications.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global 3D Machine Vision market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global 3D Machine Vision Market Segmental Analysis
Global 3D Machine Vision Market is segmented by Offering, Product, Application, Vertical and region. Based on Offering, the market is segmented into Hardware, Software, 3D Machine Vision Market, By Vertical:, Industrial and Non-industrial. Based on Product, the market is segmented into PC-based and Smart-camera based. Based on Application, the market is segmented into Quality assurance and inspection, Positioning and guidance, Measurement, and Identification. Based on Vertical, the market is segmented into Industrial (Automotive, Electronics and Semiconductor, Consumer Electronics, Glass, Metals, Wood and Paper, Pharmaceuticals, Food & Packaging, Rubber & Plastics, Printing, Machinery/Equipment, Solar Panel Manufacturing, Textile), Non-industrial (Healthcare, Security and Surveillance, Postal & Logistics, Intelligent Transportation Systems, Military & Defense). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global 3D Machine Vision Market
The global 3D Machine Vision market is significantly driven by the increasing adoption of smart cameras, which play a crucial role in digitizing and transmitting visual data for computer-based analysis. These compact devices, featuring an embedded single-image sensor, are tailored for specific applications where space is limited. Smart cameras are essential for various automated processes, functioning either within a broader 3D machine vision system or as stand-alone image processors. Their affordability and user-friendly nature make them a preferred choice for enhancing automation and integrating vision systems into manufacturing workflows. Consequently, the demand for smart cameras has surged in industrial production, where they are widely utilized for inspection and quality control purposes.
Restraints in the Global 3D Machine Vision Market
The Global 3D Machine Vision market faces several restraints, primarily stemming from the rapid evolution of robotic vision technology. As innovations emerge continuously, tools designed to address automation challenges are introduced at an unprecedented pace. Despite advancements such as smaller pixel sensors, larger sensors, more precise software platforms, and enhanced lighting, the market struggles with high research and development costs. Additionally, a significant gap in user awareness regarding the swiftly advancing capabilities of robotic vision technology further hampers market growth. These elements combined create a challenging environment for the broader adoption and implementation of 3D machine vision solutions.
Market Trends of the Global 3D Machine Vision Market
The Global 3D Machine Vision market is witnessing a significant trend towards embedded vision technology, which integrates image capture and processing within a single device. This innovation is driving broader industrial applications, facilitating advanced inspection and sorting solutions. Notably, embedded vision is becoming integral to cutting-edge products like autonomous drones, driverless vehicles, and smartphones. The incorporation of deep learning capabilities is further enhanced by advancements in Field Programmable Gate Arrays (FPGAs), allowing the acceleration of complex vision and neural algorithms directly on embedded devices. This convergence of technology not only improves efficiency but also opens new avenues for machine vision applications across various sectors.