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市場調查報告書
商品編碼
1643090
機器人視覺：市場佔有率分析、行業趨勢和統計、成長預測（2025-2030 年）Robotic Vision - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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簡介目錄
預計預測期內機器人視覺市場複合年成長率為 9.86%。
主要亮點
- 機器引導系統使用2D和3D機器視覺系統來提高組裝機器人和自動化物料輸送設備的準確性和速度。應用將根據生產的車輛和型號而有所不同，但常見的類別包括機器人、尺寸測量、組裝檢驗、缺陷檢測、噴漆工作檢驗和代碼讀取。
- 機器人視覺利用攝影機和影像處理為機器人提供視覺，以補充或取代人工檢查任務。應用範圍從存在檢測到即時檢查等基本任務。
- 世界各地的製造公司都意識到了這些機器人視覺系統的好處，特別是在必須精確執行檢查等冗餘任務的領域。它們在高速生產線和危險環境中發揮著至關重要的作用。這些系統的主要優點包括提高生產力、減少機器停機時間和加強製程控制。
- 開發機器人視覺的核心部件，例如視覺感測器和視覺軟體，需要大量的開發成本。此外，引入機器人視覺的初始成本較高，這可能會阻礙市場擴張。
- 預計 COVID-19 疫情將促進視覺引導機器人的成長，這種機器人可以減少多個終端用戶產業的人際接觸。例如，美國公司Orrbec與中國一家機器人製造商合作，將3D相機產品引入機器人，用於各種醫院應用。國內多家醫院已引進採用機器視覺系統的送餐機器人、消毒機器人、方向引導機器人等。隨著認知人形機器人的普及，市場將在疫情後蓬勃發展。
機器人視覺市場趨勢
汽車業等終端用戶的需求不斷成長，推動市場成長
- 為了解決品質問題，汽車製造商加大對視覺系統的投資。汽車製造商和零件供應商擴大使用該技術進行各種應用，包括黏合劑分配、物料拾取、防錯、線上焊接分析、物料輸送、機器人引導、表面檢查和可追溯性。客製化需求的不斷成長、勞動力短缺的加劇以及成本壓力是汽車行業使用視覺系統的主要促進因素。
- 視覺引導機器人預計將徹底改變電子、汽車和食品加工產業。由於電弧焊接、切割和堆疊等應用對科技的需求龐大，3D視覺引導技術正成為這些產業的主流。
- 先進的機器視覺技術在全球各個汽車工廠的日常業務中發揮關鍵作用。例如，福特馬達的範戴克變速箱工廠使用視覺引導機器人來確保齒輪和離合器等關鍵部件的高品質組裝。該工廠已部署了 500 多個線上機器視覺應用程式來解決防錯、測量和複雜性問題。
- 隨著汽車 ADAS 系統的成長，攝影機主導照明、雷射雷達和 V2X 等組件的需求將很快在自動化和智慧化中發揮關鍵作用。此外，根據 Neuromation 的數據，道路交通事故佔全球死亡人數的 2.2%。 2D 和 3D 機器視覺以及智慧交通系統 (ITS) 為駕駛員提供了安全網。這些技術可以減少汽車行業的人為錯誤，為駕駛員提供工具和能力，以避免代價高昂的錯誤和事故。
- 由於其非接觸式檢測、高重複性和最低成本，機器人視覺系統在各行各業的品管中越來越受歡迎。傳統的產品品管方法完全依賴人工檢查。另一方面，由於疲勞和重複，人工檢查的表現預計會在輪班之間下降。細小的瑕疵不易察覺，但可能會導致重大錯誤。技術進步正在將耗時的檢查任務從人工轉移到機器自動化。硬體和軟體的重大進步已經使世界許多地方的大多數品管檢查人員轉移到機器上。根據IFR統計，中國在上年度安裝了約16.8萬台新工業機器人，位居世界第一。
北美有望成為成長最快的市場
- 北美是機器人技術應用的主要發明者和先驅，也是世界上最大的市場之一。各領域對機器人技術的應用日益廣泛是市場成長的主要因素。
- 據國際機器人聯合會稱，今年北美工業機器人的使用量預計將達到每年 69,000 台。據Advancing Automation稱，去年的機器人銷售量預計與前一年同期比較成長了28%。隨著越來越多的行業轉向自動化來提高生產力和緩解勞動力短缺，機器人銷量在去年第四季度創下歷史新高（同比成長 9%），並且在近幾個月已經顯示出強勁勢頭。
- 工業機器人是工業自動化的重要組成部分，不同的機器人在各行各業中執行著重要的功能。隨著該地區許多國家的經濟擴張，電子、電子商務和汽車等行業也在成長。由於整個經濟的需求不斷成長，產品製造商正在迅速採用機器人來自動化重複程序。
- 先進製造業夥伴關係等政府措施旨在鼓勵企業、大學和聯邦政府投資未來的自動化技術，這可能會使機器視覺系統的生產更加頻繁。
- 根據美國製造業生產力與創新聯盟（MAPI）統計，美國工業產值預計較前一年成長2.8%，推動了機器人視覺技術的使用。
機器人視覺產業概覽
機器人視覺市場較為分散，主要參與者包括高通技術公司、基恩士公司、發那科公司、ABB 集團和 Sick AG。市場參與者正在採用夥伴關係、創新和收購等策略來增強其產品供應並獲得永續的競爭優勢。
- 2022 年 10 月-ABB 宣布與美國新興企業Scalable Robotics 建立策略夥伴關係，以擴展其方便用戶使用型機器人焊接解決方案系列。 Scalable Robotics 的技術利用 3D 視覺和內建製程感知，讓使用者無需編碼即可對焊接機器人進行程式設計。
其他福利：
- Excel 格式的市場預測 (ME) 表
- 3 個月的分析師支持
目錄
第 1 章 簡介
- 研究假設和市場定義
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場洞察
- 市場概況
- 產業吸引力-波特五力分析
- 新進入者的威脅
- 買家的議價能力
- 供應商的議價能力
- 替代品的威脅
- 競爭對手之間的競爭強度
- 產業價值鏈分析
- COVID-19 產業影響評估
- 機器人視覺整合機器人分析（按出貨量）
- 工業機器人
- 移動機器人
第5章 市場動態
- 市場促進因素
- 認知人形機器人的採用率不斷提高
- 汽車業等終端用戶的需求不斷增加
- 市場限制
- 高投資
第6章 市場細分
- 依技術分類
- 2D 視覺
- 3D 視覺
- 按最終用戶產業
- 車
- 電子產品
- 航太
- 飲食
- 藥品
- 其他最終用戶產業
- 地區
- 北美洲
- 歐洲
- 亞太地區
- 世界其他地區
第7章 競爭格局
- 公司簡介
- Qualcomm Technologies, Inc.
- Keyence Corporation
- FANUC Corporation
- ABB Group
- Sick AG
- Teledyne Dalsa Inc.
- Cognex Corporation
- Omron Adept Technology, Inc.
- National Instruments Corporation
- Hexagon AB
第8章投資分析
第9章：市場的未來
簡介目錄
Product Code: 69651
The Robotic Vision Market is expected to register a CAGR of 9.86% during the forecast period.
Key Highlights
- Machine guidance systems use 2D and 3D machine vision systems to improve the accuracy and speed of assembly robots and automated material handling equipment, which plays a crucial role in the engine chassis marriage operations. Although the applications vary depending on the vehicle or model being produced, the general categories of applications are observed in robotics, dimensional gaging functions, assembly verification, flaw detection, paint job verification, and code reading.
- Robotic vision provides the robots with a sight that helps them to complement or replace manual inspection tasks using cameras and image processing. The applications range from basic tasks, like presence detection, to real-time inspection.
- Manufacturing companies across the globe realize the benefits of these robotic vision systems, particularly in areas where redundant tasks, like inspection, should be performed with precision. They play an essential role in high-speed production lines and hazardous environments. These systems' significant benefits include increased productivity, reduced machine downtime, and tighter process control.
- Significant expenditures are required to develop the core components of robotic vision, such as vision sensors and the underlying vision software. The initial cost of implementing robotic vision is also slightly more significant, which may impede market expansion.
- The COVID-19 pandemic is expected to increase the growth of vision-guided robots that can reduce human contact in multiple end-user industries. For instance, Orrbec, a US-based company, collaborated with robot manufacturers in China to deploy its 3D camera products in robots for different hospital applications. Food delivery robots, sterilization robots, and directional guiding robots using machine vision systems have been deployed across many hospitals in China. With the increased adoption of cognitive humanoid robots, the market is proliferating after the pandemic.
Robotic Vision Market Trends
Growing Demand from End-User Segments like Automotive Industry Drives the Market Growth
- To address quality issues, Automotive manufacturers are increasingly investing in vision systems. The technology is increasingly being used by automakers and parts suppliers for various applications, including adhesive dispensing, bin picking, error-proofing, inline welding analysis, material handling, robotic guidance, surface inspection, and traceability. Growing demand for customization, increasing labor shortages, and cost pressures are some significant drivers of vision systems used in the auto industry.
- Vision-guided robots are projected to revolutionize the electronics, automotive, and food processing industries. Due to the tremendous technology demand for applications such as arc welding, cutting, and palletizing, these industries are dominated by 3D vision-guided technology.
- Advanced machine vision technology plays a significant role in the daily operation of various global automotive plants. Ford Motor Co.'s Van Dyke transmission plant, for instance, uses vision-guided robots to ensure the high-quality assembly of critical components like gears and clutches. The plant has deployed over 500 inline machine vision applications for error-proofing, gauging, and complexity issues.
- With the growth of the ADAS system in Automotives, the requirement of components like camera-led lighting, Lidar, and V2X, among others, would play a crucial role shortly for automation and intelligence. Further, according to Neuromation, traffic accidents account for 2.2% of global deaths. With 2D and 3D machine vision and intelligent transportation systems (ITS), drivers are provided with a safety net. These technologies make it possible to mitigate human error in the auto industry, assisting drivers at the wheel with tools and features that keep them from committing severe mistakes and accidents.
- Because of their noncontact inspection, high repeatability, and minimal cost, robotic vision systems are becoming more popular for quality control in various sectors. Traditional methods of product quality control rely entirely on human inspection. On the other hand, human inspection performance is projected to decline over a shift of work owing to weariness and repetition. Minor faults may go unnoticed, resulting in non-trivial errors. Technological breakthroughs are transferring the time-consuming inspection labor from humans to machine automation. Significant advances in hardware and software have already shifted most of the quality control inspection labor to machines in various regions of the globe. According to IFR, With approximately 168 thousand new industrial robot installations in China, it had set up the most robotics-worldwide in the previous year.
North America is Expected to become the Fastest Growing Market
- In robotics adoption, North America is one of the significant inventors and pioneers and one of the world's largest markets. The rising deployment of robotics across various sectors is the key driver of the market's growth.
- According to the International Federation of Robotics, North American industrial robot deployments are predicted to reach 69,000 annually by the current year. According to Advancing Automation, the number of robots sold last year was estimated to rise by 28% over before previous year. As more sectors resorted to automation to enhance productivity and reduce persistent labor shortages, record robot sales were recorded in the fourth quarter of the last year (up by 9% from the fourth quarter of before earlier year), demonstrating strong momentum already gained in the previous few months.
- Industrial robots are critical in industrial automation, with various robots managing many vital functions in multiple industries. Electronics, e-commerce, and automotive industries, among others, are growing in tandem with economic expansion in many countries in this region. Product manufacturers are rapidly employing robots to automate repetitive procedures in response to rising demand across economies.
- Machine vision systems would be produced more frequently due to government efforts such as the Advanced Manufacturing Partnership, which aims to encourage businesses, universities, and the federal government to invest in future automation technology.
- According to the MAPI (Manufacturers Alliance for Productivity and Innovation), industrial production in the United States was estimated to rise by 2.8% by the earlier year, boosting the country's use of robotic vision technologies.
Robotic Vision Industry Overview
The robotic vision market is moderately fragmented due to major players like Qualcomm Technologies, Inc., Keyence Corporation, FANUC Corporation, ABB Group, and Sick AG. Players in the market are adopting strategies such as partnerships, innovations, and acquisitions to enhance their product offerings and gain sustainable competitive advantage.
- October 2022 - ABB announced a strategic partnership with the US-based startup Scalable Robotics to expand its user-friendly robotic welding solutions line. Scalable Robotics technology, which uses 3D vision and embedded process awareness, enables users to program welding robots without coding.
Additional Benefits:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
- 4.1 Market Overview
- 4.2 Industry Attractiveness - Porters Five Forces Analysis
- 4.2.1 Threat of New Entrants
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Bargaining Power of Suppliers
- 4.2.4 Threat of Substitute Products
- 4.2.5 Intensity of Competitive Rivalry
- 4.3 Industry Value Chain Analysis
- 4.4 Assessment of Impact of Covid-19 on the Industry
- 4.5 Analysis of Robots Integrated with Robotic Vision (in terms of Volumes Shipped)
- 4.5.1 Industrial Robots
- 4.5.2 Mobile Robots
5 MARKET DYNAMICS
- 5.1 Market Drivers
- 5.1.1 Increased Adoption of Cognitive Humanoid Robots
- 5.1.2 Growing Demand from End - User Segments like Automotive Industry
- 5.2 Market Restraints
- 5.2.1 High Investments
6 MARKET SEGMENTATION
- 6.1 By Technology
- 6.1.1 2D Vision
- 6.1.2 3D Vision
- 6.2 By End User Industry
- 6.2.1 Automotive
- 6.2.2 Electronics
- 6.2.3 Aerospace
- 6.2.4 Food and Beverage
- 6.2.5 Pharmaceutical
- 6.2.6 Other End User Industries
- 6.3 Geography
- 6.3.1 North America
- 6.3.2 Europe
- 6.3.3 Asia Pacific
- 6.3.4 Rest of the World
7 COMPETITIVE LANDSCAPE
- 7.1 Company Profiles
- 7.1.1 Qualcomm Technologies, Inc.
- 7.1.2 Keyence Corporation
- 7.1.3 FANUC Corporation
- 7.1.4 ABB Group
- 7.1.5 Sick AG
- 7.1.6 Teledyne Dalsa Inc.
- 7.1.7 Cognex Corporation
- 7.1.8 Omron Adept Technology, Inc.
- 7.1.9 National Instruments Corporation
- 7.1.10 Hexagon AB
