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市場調查報告書

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1623357

全球視覺引導機器人市場規模：按硬體組件、按軟體解決方案、按整合服務、按地區、範圍和預測

Global Vision Guided Robotics Market Size By Hardware Components, By Software Solutions, By Integration Services, By Geographic Scope And Forecast

出版日期: 2024年10月07日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

視覺引導機器人的市場規模及預測

2023 年視覺引導機器人市場規模價值 54 億美元，預計到 2030 年將達到 109 億美元，在 2024-2030 年預測期內的複合年增長率為 8.10%。

視覺引導機器人的全球市場推動因素

視覺引導機器人市場的市場推動因素可能受到多種因素的影響。

對自動化的需求日益增加：

製造業、物流業、醫療保健業和農業等行業擴大採用自動化來提高生產力、減少錯誤並提高效率。視覺引導機器人對於自動化至關重要，因為它們使機器人能夠理解周圍環境並與之互動。

機器視覺技術的發展：

由於機器視覺技術（包括感測器、攝影機和影像處理演算法）的不斷發展，視覺引導機器人的功能正在大大擴展。由於視覺系統的準確性、解析度、速度和可靠性的提高，視覺引導機器人在各行各業的使用正在增加。

成本節省與投資報酬率：

與視覺感測器和相關技術成本的持續下降相比，該公司發現採用視覺引導機器人可以帶來較高的投資報酬率 (ROI)。對視覺引導機器人解決方案的投資主要源於透過改善品質控制、減少浪費和提高效率來節省成本的潛力。

品質檢驗與控制需求：

為了確保產品品質和法規遵從性，汽車、電子、製藥、食品和飲料等行業必須實施嚴格的品質檢驗和控製程序。透過視覺引導機器人實現的高精度、可重複的自動化檢測和品質控制可以滿足製造過程中日益增長的品質保證需求。

協作機器人的興起：

視覺引導機器人在各個行業中的接受度是由能夠與人類操作員一起工作的協作機器人 (cobots) 的發展所推動的。配備視覺系統後，協作機器人可以看到周圍環境並與人類互動，使其在協作製造環境中更加安全、靈活。

智慧工廠與工業 4.0 計畫：

透過採用工業 4.0 原則和智慧工廠計劃，可以鼓勵視覺引導機器人等尖端技術的集成，以創建互聯的、數據驅動的製造環境。在智慧工廠中，視覺引導機器人對於預測性維護、自適應製造流程和即時監控至關重要。

擴大在物流與電子商務領域的應用：

由於電子商務的爆炸式增長以及對準確、快速訂單履行的需求不斷增加，視覺引導機器人在倉庫和配送中心變得越來越普遍。視覺系統使機器人能夠有效地識別、挑選、包裝和分類物品，從而改善倉庫運作並有助於滿足線上零售和物流的需求。

限制全球視覺引導機器人市場的因素

有幾個因素可能會對視覺引導機器人市場造成限制和課題。

初始投資成本高：

部署視覺引導機器人系統所涉及的硬體、軟體、整合和培訓成本通常很高。由於需要高額的前期投資，小型企業和預算有限的企業可能不會很快採用視覺引導機器人技術。

部署與整合的複雜性：

將視覺引導機器人系統整合到當前的製造過程中是一個耗時且勞動密集的過程。它可能需要程式設計、自動化、機器人、機器視覺等方面的專業知識，這對於沒有必要資源或技術知識的公司來說可能很困難。廣泛採用視覺引導機器人解決方案的一個主要障礙可能是實施的複雜性。

可靠性與準確性問題：

儘管機器視覺技術取得了發展，但視覺引導系統的準確性和可靠性問題仍然存在。視覺系統表現可能受到照明、遮蔽、環境條件和物體變化等變數的影響，導致錯誤和假陽性/假陰性。對性能不穩定的擔憂可能會阻礙某些產業充分發揮視覺引導機器人技術的潛力。

適應性與靈活性限制：

視覺引導機器人系統通常是為特定目的而建造的，這可能會限制其適應生產環境變化的能力。修改和重新編程視覺系統以適應生產量、程序或產品規格的變化可能非常耗時且昂貴。由於缺乏靈活性，一些企業可能不願意投資視覺引導機器人解決方案。

資料安全與隱私問題：

為了完成物體辨識、追蹤和導航等任務，視覺引導機器人系統必須收集和處理大量的視覺資料。然而，對資料安全、隱私和遵守《加州消費者隱私法案》（CCPA）和《一般資料保護規範》（GDPR）等法律的擔憂，尤其是在醫療保健和金融等敏感領域，正在阻礙這一願景的實現。

To increase productivity, cut down on errors, and improve efficiency, industries including manufacturing, logistics, healthcare, and agriculture are embracing automation more and more. Because vision-guided robotics gives robots the ability to see and interact with their surroundings, it is essential to automation.

Developments in Machine Vision Technology:

The capabilities of vision-guided robots have been greatly expanded by the constant development of machine vision technologies, which includes sensors, cameras, and image processing algorithms. The increasing utilisation of vision-guided robotics in diverse industries can be attributed to the enhancement of vision systems' accuracy, resolution, speed, and dependability.

Cost Reduction and ROI:

Businesses are finding that deploying vision-guided robotics offers a higher return on investment (ROI) when compared to the continuing decrease in the costs of vision sensors and related technologies. Investing in vision-guided robotic solutions is encouraged by the potential cost savings through improved quality control, decreased waste, and increased efficiency.

Demand for Quality Inspection and Control:

To guarantee product quality and regulatory compliance, industries including automotive, electronics, pharmaceuticals, and food and beverage must implement strict quality inspection and control procedures. The increasing need for quality assurance in manufacturing processes can be met by automated inspection and quality control with high accuracy and repeatability made possible by vision-guided robotics.

Increase in Cobots, or collaborative robots:

The acceptance of vision-guided robotics in a variety of industries is being propelled by the development of collaborative robots, or cobots, which can operate alongside human operators. Cobots with vision systems are safer and more flexible in collaborative manufacturing settings because they can see their surroundings and interact with humans.

Initiatives for the Smart Factory and Industry 4.0:

The integration of cutting-edge technologies, such as vision-guided robotics, is encouraged by the adoption of Industry 4.0 principles and smart factory initiatives to create connected and data-driven manufacturing environments. In smart factories, vision-guided robots are essential for predictive maintenance, adaptive manufacturing processes, and real-time monitoring.

Expanding Uses in Logistics and E-Commerce:

Vision-guided robotics is becoming more and more common in warehouses and distribution centers due to the explosive growth of e-commerce and the growing demand for precise and quick order fulfillment. Robots can efficiently identify, pick, pack, and sort items thanks to vision systems, which improves warehouse operations and helps to meet the demands of online retail and logistics.

Global Vision Guided Robotics Market Restraints

Several factors can act as restraints or challenges for the Vision Guided Robotics Market. These may include:

High Initial Investment Costs:

The hardware, software, integration, and training costs associated with implementing vision-guided robotics systems are frequently quite high. The adoption of vision-guided robotics technology may be slowed down by small and medium-sized enterprises (SMEs) or businesses with tight budgets due to the initial capital expenditure.

Complexity of Deployment and Integration:

It can take a lot of effort and time to integrate vision-guided robotics systems into current manufacturing processes. It might call for specific knowledge in programming, automation, robotics, and machine vision, which can be difficult for businesses without the required resources or technological know-how. A major barrier to the widespread adoption of vision-guided robotics solutions may be the deployment's complexity.

Issues with Reliability and Accuracy:

Despite developments in machine vision technology, issues with vision-guided systems' accuracy and reliability persist. The performance of vision systems can be impacted by variables including lighting, occlusions, environmental conditions, and object variability, which can result in errors or false positives/negatives. Apprehensions about performance instability could prevent certain industries from adopting vision-guided robotics technology to its full potential.

Restricted Adaptability and Flexibility:

Since vision-guided robotics systems are frequently created for particular purposes, their ability to adjust to changing production environments may be limited. It can take a lot of time and money to retrofit or reprogramme vision systems to account for modifications in production volumes, procedures, or product specifications. Some businesses might be deterred from investing in vision-guided robotics solutions due to the lack of flexibility.

Data Security and Privacy Issues:

In order to accomplish tasks like object recognition, tracking, and navigation, vision-guided robotics systems must gather and process vast volumes of visual data. Vision-guided robotics technology adoption, however, can be hampered by worries about data security, privacy, and compliance with laws like the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR), especially in delicate sectors like healthcare and finance.

Global Vision Guided Robotics Market Segmentation Analysis

The Global Vision Guided Robotics Market is Segmented on the basis of Hardware Components, Software Solutions, Integration Services, And Geography.

Vision Guided Robotics Market, By Hardware Components

Cameras:
These are the primary visual sensors used in vision-guided robotics systems. They capture images or video feeds of the environment.
Processors:
Vision processing units or CPUs that analyze and interpret the visual data captured by cameras.
Sensors:
Other types of sensors such as depth sensors, LiDAR, or infrared sensors that complement visual data for better perception.

Vision Guided Robotics Market, By Software Solutions

Image Processing Software:
Software for image enhancement, filtering, and feature extraction.
Machine Learning Algorithms:
Algorithms used for object recognition, classification, and tracking.
Localization and Mapping Software:
Algorithms for mapping environments and localizing robots within them.

Vision Guided Robotics Market, By Integration Services

System Integration:
Services related to integrating vision systems with robotic platforms or existing industrial systems.
Customization Services:
Tailoring vision systems to specific industrial applications or environments.