市場調查報告書
商品編碼
1466463
視覺檢測市場:按組件、技術類型、應用、產業分類 - 2024-2030 年全球預測Visual Inspection Market by Component (Hardware, Services, Software), Technology Type (3D Vision, AI-based Inspection, Camera-based Inspection), Application, Industry Vertical - Global Forecast 2024-2030 |
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預計2023年視覺檢測市場規模為56.3億美元,預計2024年將達60.1億美元,2030年將達到90.2億美元,複合年成長率為6.95%。
目視檢查是一種重要且廣泛使用的技術,用於評估各行業的產品、材料和基礎設施的品質、適用性和完整性。使用肉眼或光學儀器(例如放大鏡、顯微鏡和相機)系統地評估物品和結構,以識別表面缺陷、異常以及與既定標準或模式的偏差。視覺檢測市場主要由食品、飲料和製藥行業嚴格的品管措施以及政府支持工業 4.0 和機器人自動化的舉措推動。然而,與測試系統的頻繁維護和校準相關的限制,以及對這些系統中誤解和陰性發生的擔憂,可能會限制成長。市場參與者正在結合人工智慧和機器學習技術來實現準確的缺陷檢測和可追溯性。此外,用於精確檢測的 3D 視覺系統越來越受歡迎,並且由於處理時間縮短、檢測能力提高以及對不同生產環境的更大彈性和適應性而顯示出進一步的潛力。
主要市場統計 | |
---|---|
基準年[2023] | 56.3億美元 |
預計年份 [2024] | 60.1億美元 |
預測年份 [2030] | 90.2億美元 |
複合年成長率(%) | 6.95% |
透過組件視覺檢測硬體的進步提高檢測質量
硬體是視覺偵測系統的基礎,通常包括攝影機、照明系統、鏡頭、感測器、機械臂或其他輔助設備,例如用於定位被偵測物體的機械手、電纜和連接器。相機對於拍攝被檢查物體的高解析度影像至關重要,並且根據應用要求可以是2D (2D) 或3D (3D) 影像。服務組件包括綜合支援服務,例如諮詢、安裝協助/培訓/文件、維護合約、遠端監控/分析/報告、備件管理和按需提供的技術幫助台/資源可用性等。該軟體由影像處理演算法、機器學習模型和使用者介面組成,能夠自動偵測擷取的影像和視訊串流中的缺陷。機器學習模型利用深度學習和神經網路等人工智慧技術從過去的資料中學習並即時準確地預測缺陷分類。
技術類型:提供高速精密偵測的機器視覺越來越普及
3D視覺技術為精確的物體辨識和測量提供深度資訊。在汽車、航太、電子和製藥行業中必不可少的品管、機器人引導和缺陷檢測。基於人工智慧的偵測系統利用機器學習演算法來提高偵測準確性並減少誤報。此技術適用於傳統基於規則的系統無法滿足的複雜檢查。基於攝影機的偵測系統使用高解析度攝影機拍攝產品和零件的影像以進行品質檢查,並用於檢測生產線上零件的表面刮痕和微小錯位等缺陷。電腦視覺技術處理數位影像以識別模式並啟用自動檢測系統以進行品管和分類應用。機器視覺系統使用相機、感測器和軟體演算法來高速、高精度地檢查物體。智慧型相機是獨立設備,在晶片組上結合了影像擷取和處理功能,無需外部 PC 或控制器。這些相機非常適合空間受限的環境或需要分散式檢測解決方案的應用。
廣泛使用目視檢查進行品管,確保應用產品安全和客戶滿意度
組裝檢驗對於確保產品正確組裝並按預期運行至關重要。目視檢查系統用於識別缺少、錯位和錯位的零件。缺陷檢測對於識別影響性能和安全性的產品異常至關重要。測量和計量需要精確評估尺寸和形狀,以確保產品品質並符合設計規範。包裝檢查對於確保包裝商品到達消費者之前的正確密封、標籤和整體完整性是必要的。品管和品質保證涉及各種技術,以確保製造的產品符合既定的規格和標準。分類和分級涉及根據尺寸、形狀和顏色等屬性對物品進行分類。高速視覺檢測系統可以簡化食品、製藥、電子和其他製造商的這些流程。表面檢查可識別材料表面上可能影響產品性能和美觀的缺陷和不規則現象。
按行業分類:需要符合製藥業監管標準的目視檢查流程
航太和國防工業需要高度嚴格的視覺檢測解決方案,以確保產品的安全性、性能和可靠性。這些產業通常採用先進的自動化和機器人檢查系統來檢查飛機零件、太空船材料和國防設備。目視檢查對於維持汽車產業的品質標準至關重要。在電子和半導體產業,微觀缺陷對裝置性能有重大影響。在食品飲料產業,確保產品品質和安全是重中之重。因此,目視檢查對於在整個生產過程中檢測異物和污染物極為重要。製造部門需要高效的視覺檢測解決方案,以減少生產停機時間並提高工作效率。目視檢查對於包裝行業的品質保證和產品可追溯性至關重要。專業的自動化檢查設備可以識別藥物輸送容器和系統中的顆粒和異物等缺陷。目視檢測技術擴大應用於零售和快速消費品(FMCG)行業,以保持產品品質、提高供應鏈效率並確保客戶滿意度。
區域洞察
目視檢測廣泛應用於美洲的汽車製造、航太工程、製藥、食品加工、電子等產業。隨著公司努力提高產品品質同時保持成本效率,該地區對技術先進的檢測系統的需求不斷增加。近年來,許多美國公司專注於開發融合人工智慧(AI)和機器學習(ML)技術的智慧視覺系統,以提高其能力。由於中國、印度、日本、韓國和台灣等國家基礎設施開發計劃投資的增加,預計亞洲將在未來幾年成為視覺檢測技術的主要市場。視覺檢測設備的產量預計將隨著半導體製造和電子組裝等關鍵行業的需求而增加。此外,外國跨國公司正在擴大在亞太市場的業務,以滿足最終用戶日益成長的需求。在歐洲,視覺檢測技術由於傳承了先進的製造方法和嚴格的品管法規,已被納入許多行業。該地區擁有多家製造視覺檢測系統的領先公司,開發協作機器人、智慧相機和用於視覺檢測的高光譜影像等創新解決方案。
FPNV定位矩陣
FPNV定位矩陣對於評估視覺偵測市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對視覺檢測市場中供應商的現狀進行深入而詳細的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4.競爭評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1. 視覺檢測市場的市場規模與預測是多少?
2.視覺檢測市場預測期內需要考慮投資的產品、細分市場、應用和領域有哪些?
3.目視檢測市場的技術趨勢和法規結構是什麼?
4.目視檢測市場主要廠商的市場佔有率為何?
5. 進入視覺檢測市場的合適型態和策略手段是什麼?
[199 Pages Report] The Visual Inspection Market size was estimated at USD 5.63 billion in 2023 and expected to reach USD 6.01 billion in 2024, at a CAGR 6.95% to reach USD 9.02 billion by 2030.
Visual inspection is a critical and widely used method for assessing the quality, conformity, and integrity of products, materials, and infrastructure across various sectors. It involves systematically evaluating an item or structure using the naked eye or optical instruments such as magnifying glasses, microscopes, and cameras to identify surface defects, anomalies, and deviations from established standards or patterns. The visual inspection market is primarily driven by stringent quality control measures in the food & beverage and pharmaceutical industries, along with government initiatives supporting Industry 4.0 and robotic automation. However, limitations related to frequent maintenance and calibration of inspection systems and concerns surrounding false positives and negative occurrences in these systems may restrain growth. Market players are incorporating AI and ML technologies for precise defect detection and traceability. Furthermore, the rising popularity of 3D vision systems for accurate inspection presents additional potential by facilitating faster processing times, improved detection capabilities, and increased flexibility and adaptability to different production environments.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 5.63 billion |
Estimated Year [2024] | USD 6.01 billion |
Forecast Year [2030] | USD 9.02 billion |
CAGR (%) | 6.95% |
Component: Advancements in visual inspection hardware to enhance detection qualities
Hardware is the foundation for any visual inspection system, which typically includes cameras, lighting systems, lenses, sensors, robotic arms, or manipulators for positioning objects under investigation, and other ancillary equipment such as cables and connectors. Cameras are essential for capturing high-resolution images of the inspected items; they can be either two-dimensional (2D) or three-dimensional (3D), depending on the application's requirements. The services component encompasses consultation, integration support services such as installation assistance/training/documentation, maintenance agreements, remote monitoring/analysis/report generation, and after-sales support such as spares management & technical helpdesk/resources availability on-demand basis. The software comprises image processing algorithms, machine learning models, and user interfaces that enable the automatic detection of defects in captured images or video streams. Machine learning models utilize artificial intelligence techniques, including deep learning and neural networks, to learn from historical data and accurately predict defect classifications in real-time.
Technology Type: Rising popularity of machine vision to offer high-speed precision inspections
3D vision technology provides depth information for accurate object recognition and measurement. It is essential in the automotive, aerospace, electronics, and pharmaceutical industries for quality control, robot guidance, and defect detection. AI-based inspection systems leverage machine learning algorithms to improve detection accuracy and reduce false positives. This technology is suitable for complex inspections where traditional rule-based systems fall short. Camera-based inspection systems use high-resolution cameras to capture images of products or components for quality checks, and these systems aid in detecting defects such as surface scratches or minute component misalignments on production lines. Computer vision technology processes digital images and recognizes patterns, enabling automated inspection systems for quality control and sorting applications. Machine vision systems use cameras, sensors, and software algorithms to inspect objects at high speeds with great precision. Smart cameras are standalone devices that combine image capture with processing capabilities on chipsets without needing external PCs or controllers. These cameras are ideal for space-constrained environments or applications requiring decentralized inspection solutions.
Application: Extensive use of visual inspection for quality control to ensure product safety and customer satisfaction
Assembly verification is crucial in ensuring products are assembled correctly and function as intended. Manufacturers often use visual inspection systems to identify missing, misplaced, or misaligned components. Defect detection is pivotal in identifying product anomalies impacting performance or safety. Measurement & metrology entails precise evaluation of dimensions and geometries to ensure product quality and conformity with design specifications. Packaging inspection is necessary to ensure proper sealing, labeling, and overall integrity of packaged goods before they reach consumers. Quality control and assurance encompass various techniques to ensure manufactured products meet established specifications and standards. Sorting and grading involve classifying items based on attributes such as size, shape, or color. High-speed visual inspection systems can streamline these processes for manufacturers across sectors such as food, pharmaceuticals, and electronics. Surface inspection identifies defects or irregularities on material surfaces that may impact product performance or aesthetics.
Industry Vertical: Need for visual inspection processes in compliance with regulatory standards in the pharmaceutical industry
The aerospace and defense industry requires highly stringent visual inspection solutions to ensure the safety, performance, and reliability of their products. These industries typically opt for advanced automated or robotic inspection systems when inspecting aircraft components, spacecraft materials, and defense equipment. Visual inspection is crucial in maintaining quality standards within the automotive industry. In the electronics and semiconductor industries, microscopic-scale defects can significantly impact device performance. Ensuring product quality and safety is paramount within the food & beverage industry; thus, visual inspections are crucial for detecting foreign objects or contaminants throughout the production process. The manufacturing sector requires efficient visual inspection solutions to reduce production downtime and improve operational efficiency. Visual inspections are essential in the packaging industry for quality assurance and product traceability. Specialized automated inspection equipment can identify defects such as particulates or foreign matter within drug products' containers or delivery systems. Visual inspection technologies are increasingly being utilized in the retail and fast-moving consumer goods (FMCG) sectors to maintain product quality, enhance supply chain efficiency, and ensure customer satisfaction.
Regional Insights
Visual inspection has been widely adopted in industries, such as automotive manufacturing, aerospace engineering, pharmaceuticals, food processing, and electronics in the Americas. The region has witnessed an increased demand for technologically advanced inspection systems as companies strive to improve product quality while maintaining cost efficiency. In recent years, many American companies have focused on developing smart vision systems incorporating artificial intelligence (AI) and machine learning (ML) technologies to enhance their capabilities. Asia is anticipated to become a major market for visual inspection technology in the coming years due to rising investments in infrastructure development projects across China, India, Japan, South Korea, and Taiwan, among other countries. The production of visual inspection equipment is expected to rise in tandem with demand from major industries such as semiconductor manufacturing and electronics assembly. Moreover, foreign multinational corporations are expanding their presence in Asia-Pacific markets to cater to the rising end-user requirements. In Europe, visual inspection technology is well-integrated into numerous industries, given its strong legacy in advanced manufacturing methods and stringent quality control regulations. The region is home to several leading companies producing visual inspection systems as they are developing innovative solutions such as collaborative robots, intelligent cameras, and hyperspectral imaging for visual inspection.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Visual Inspection Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Visual Inspection Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Visual Inspection Market, highlighting leading vendors and their innovative profiles. These include Aantares Vision Group, Advantech Co., Ltd., Baker Hughes Company, Basler AG, Brevetti CEA SpA, Carl Zeiss AG, Cognex Corporation, Emerson Electric Co., FARO Technologies, Inc., General Electric Company, Google LLC by Alphabet Inc., Hexagon AB, International Business Machines Corporation, Jekson Vision Pvt. Ltd., Keyence Corporation, KPM Analytics, Korber AG, Mettler Toledo International Inc., MISTRAS Group, Inc., Mitsubishi Electric Corporation, Mitutoyo Corporation, Nommas AI, Olympus Corporation, Omron Corporation, Ravin AI Ltd., Robert Bosch GmbH, Rolls Royce PLC, SGS S.A., Sick AG, Siemens AG, Stevanato Group S.p.A., Teledyne Technologies Incorporated, TKH Group NV, ViTrox Corporation, Wenglor Sensoric Group, and Wipotec GmbH.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Visual Inspection Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Visual Inspection Market?
3. What are the technology trends and regulatory frameworks in the Visual Inspection Market?
4. What is the market share of the leading vendors in the Visual Inspection Market?
5. Which modes and strategic moves are suitable for entering the Visual Inspection Market?