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1835392

自動化電腦視覺市場（按組件、技術、應用和最終用戶產業）—全球預測 2025-2032

Computer Vision in Automation Market by Component, Technology, Application, End User Industry - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 193 Pages | 商品交期: 最快1-2個工作天內

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※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

預計到 2032 年，自動化電腦視覺市場將成長到 66 億美元，複合年成長率為 16.86%。

主要市場統計數據
預測年份（2024年） 18.9億美元
基準年（2025年） 22.2億美元
預測年份（2032年） 66億美元
複合年成長率（%） 16.86%

介紹電腦視覺在自動化中的作用，以及策略採用如何重塑業務工作流程並創造競爭優勢

電腦視覺與自動化程式的整合正從實驗階段邁向工商業領域主流的策略規劃階段。感測硬體、邊緣運算和演算法效率的進步正在降低應用門檻，使視覺功能能夠融入從精密檢測到自主導航等各種任務。早期採用者正在將概念驗證轉化為持續的營運工作流程，而該技術正日益被認可，計劃僅僅被視為附加元件，而是實現更高吞吐量、更低差異性流程的基礎。

隨著企業越來越重視營運彈性和敏捷性，電腦視覺正被用於補充而非取代人類的專業知識。在實踐中，這意味著混合工作流程，將自動化視覺檢測與針對邊緣情況的人工判斷相結合，以及視覺輔助機器人技術，以實現更靈活的單元佈局和更快的切換。這些混合模式減輕了人工操作員的認知負擔，提高了品質一致性，並在無需徹底重新設計現有生產系統的情況下實現了產量的顯著提升。

此外，雲端、邊緣和分散式編配等部署範式的日趨成熟，正在拓展可行的用例範圍。邊緣分析能夠在延遲敏感的環境中實現即時決策，而雲端基礎的模型則支援聯合訓練和集中式模型管理。因此，決策者越來越關注端到端生態系統：感測器和光學元件、計算和推理引擎、資料管道以及生命週期管理策略。這種生態系統觀點對於在技術生命週期內實現可預測的效能、法規遵循以及永續的整體擁有成本至關重要。

電腦視覺技術和部署模式的變革將加速製造業、物流、醫療保健業等領域的自動化

自動化領域的電腦視覺領域正在經歷一場變革性的轉變，這得益於硬體、演算法設計和部署架構的同步進步。高動態範圍成像、飛行時間深度捕捉和複雜的熱輻射測量等感測器創新正在擴展自動化系統可用的視覺數據範圍。同時，針對效率和穩健性進行最佳化的模型架構能夠在有限的功耗預算下實現邊緣推理，使基於視覺的自動化在先前難以實現的場景中變得可行。

部署模式正在從單一的本地解決方案演變為將責任分散​​到邊緣節點和雲端服務的混合架構。這種轉變實現了低延遲的本地決策，同時保持了對模型更新、異常檢測和跨站點學習的集中監管。因此，組織可以在分散式設施之間擴展一致的視覺功能，同時保持對模型漂移和資料來源的管治。

感測器製造商、半導體公司和軟體平台提供商之間的夥伴關係正在加速整合產品的交付。這些合作透過提供結合光學、計算和檢驗的經過檢驗的堆疊，減少了採用者的整合阻力。同時，開放原始碼社群和標準化資料格式降低了演算法開發人員的進入門檻，擴大了創新空間，同時也更加重視可靠的驗證和可重複性。

最後，監管和道德考量日益影響技術選擇。對隱私、可解釋性和領域標準合規性的擔憂，正在推動透明模型設計、審核資料管道和嚴格測試通訊協定的發展。這種轉變不僅擴展了用例的範圍，也增強了確保可靠且可擴展部署所需的管治和工程規格。

2025 年美國關稅政策的累積影響及其對電腦視覺供應鏈彈性與採購選擇的策略意義

主要經濟體的政策決策和貿易措施可能會對整個電腦視覺價值鏈的供應鏈和籌資策略產生重大影響。 2025 年的關稅調整為採購影像處理組件、處理器和專用感測器的組織帶來了額外的複雜性。依賴跨境供應鏈的公司必須重新評估其供應商關係、前置作業時間緩衝和庫存策略，以保持其自動化專案的連續性。

電腦視覺堆疊本質上是多源的，包括光學元件、感測器、半導體和系統整合，這迫使採購團隊評估近岸外包和多源採購策略。這些方法強調供應商的多樣性、替代供應商的合格，以及更多地使用製造外包來降低風險。因此，採購框架通常包含針對貿易中斷的情境規劃，並強調模組化設計，以便在最少的檢驗下實現零件替換。

同時，關稅加速了尋求控制關鍵零件的組織關於垂直整合的討論。為了對沖價格波動和較長的前置作業時間，一些最終用戶正在考慮投資自有供應或與策略合作夥伴簽訂長期合約。雖然這些措施可以提高彈性，但也會在資本配置和營運重點方面造成權衡，需要對核心競爭力和供應商的角色進行嚴謹的評估。

從創新角度來看，關稅環境催化了人們對軟體定義差異化的日益關注。當硬體定價壓力限制預算時，軟體和系統工程（例如，改進的校準程序、模型壓縮和自適應演算法）提供了一種在不線性增加硬體支出的情況下實現效能提升的方法。簡而言之，2025 年的關稅趨勢迫使企業在平衡供應鏈彈性、架構模組化和軟體創新的同時，維持和擴展其電腦視覺舉措。

細分市場主導的觀點揭示了將重新定義價值鍊和採購重點的組件、技術、應用和行業最終用戶

細緻的細分觀點揭示了技術選擇和採購優先順序的交會點，為設計採購和部署策略提供了實用的視角。相關人員根據組件評估三個關鍵領域：硬體、服務和軟體。硬體涵蓋攝影系統、鏡頭、處理器、晶片組和感測器，每種技術在解析度、延遲和環境穩健性方面都有不同的權衡。服務與硬體選擇重疊，包括安裝和整合、維護和支持，這些對於生命週期正常執行時間至關重要。軟體提供雲端基礎的軟體、邊緣分析軟體和機器視覺軟體；這些層管理模型部署、版本控制和推理編配。

從技術角度分析，應用範圍因感知模式和演算法方法而異。立體視覺、結構光和飛行時間成像等3D成像技術滿足了引導和測量的空間感知需求。影像識別技術（臉部辨識、物件辨識和模式辨識）推動了高階分類和決策任務。運動檢測方法（例如背景減法、幀差分和光流）支援時間分析，從而實現追蹤和異常檢測。熱成像和輻射測量等熱顯像模式為狀態監測和安全關鍵應用提供了寶貴的非可見頻譜資訊。

每個應用領域都強調投資將如何影響營運。導航和導引需求著重於自主導航和路徑規劃能力，而庫存管理和物流自動化則著重於識別、計數和路由。品質檢測工作流程需要專門的缺陷檢測、測量、校準和表面檢測技術來滿足公差要求。機器人視覺整合了感知和驅動，而安全和監控用例則專注於人群監控、入侵者檢測和違規檢測，以確保資產和人員安全。

最後，終端用戶產業決定了功能需求和監管約束。航太和國防產業需要嚴格的認證和可追溯性，汽車產業強調ADAS（高級駕駛輔助系統）和自動駕駛汽車，而消費品供應商則優先考慮速度和成本效益。電子和半導體產業需要精確的晶片檢測和元件位置檢驗，而醫療保健產業則圍繞醫學影像處理和病患監測展開，隱私和檢驗需求日益成長。製造業需要穩健且可重複的部署，而零售和電子商務產業則優先考慮結帳自動化和貨架監控，以提升客戶體驗。利用這個細分框架，企業可以優先考慮能力投資，並使採購與特定業務環境的績效和合規性需求保持一致。

區域動態和戰略位置影響美洲、歐洲、中東和非洲以及亞太地區的採用率、投資流和生態系統發展

區域動態持續影響電腦視覺應用的步伐和模式，獨特的創新中心和法規環境影響著策略重點。在美洲，商業和工業應用的特點是成熟的服務生態系統、強大的系統整合能力，以及專注於將先導計畫擴展為多站點部署。廣泛的合作夥伴網路有利於複雜的整合和長期服務協議的達成，並且高度重視效能檢驗和營運指標。

在歐洲、中東和非洲，我們看到了各種各樣的促進因素，從注重隱私和安全的法規到有針對性的工業現代化專案。在許多歐洲市場，合規性和問責制是採購決策的核心，公共部門對智慧基礎設施的投資正在為監控、交通管理和安全應用創造機會。在中東和非洲，對物流和製造中心的策略性投資正在推動選擇性地採用與勞動力和供應鏈目標一致的自動化技術。

亞太地區仍然是快速應用的熱點地區，擁有強大的製造業生態系統、融合的半導體供應鏈，以及零售、消費性電子和汽車產業的積極應用。該地區受益於垂直整合的供應商和密集的創新叢集，從而加快了新型感測和運算解決方案的開發速度。然而，亞太地區的監管和標準化環境也存在差異，因此需要採用獨特的在地化、資料處理、互通性等方法。

在這些全部區域，跨國夥伴關係、標準協調和人才供應是反覆出現的主題，將決定企業從試點到投產的速度和效率。對於跨國公司而言，最佳方法是將全球管治標準與考慮供應鏈現實情況、監管義務和員工技能的本地實施策略相結合。

競爭層面的洞察著重於供應商策略、夥伴關係模式、IP 定位和塑造下一代電腦視覺解決方案的產品藍圖

電腦視覺生態系統中的企業級動態呈現出平台整合商、專業硬體供應商、半導體領導者和軟體創新者的混合。平台整合商和系統公司專注於提供檢驗的堆疊，以減少最終用戶的整合摩擦，並強調互通性、生命週期支援和垂直解決方案。這類公司通常會投資於經過認證的整合計畫和延長的維護協議，以減輕總體擁有成本 (TCO) 問題並支援長期執行時間承諾。

其中包括高性能攝影系統、鏡頭和感測器的供應商。他們的創新主要集中在更寬的動態範圍、更高的光譜靈敏度以及增強的工業環境物理穩健性。半導體供應商持續提升運算密度和能源效率，以實現更先進的邊緣推理能力。這些公司正在努力實現晶片和軟體工具鏈之間更緊密的耦合，以簡化模型部署、加快產品上市時間，並最佳化嵌入式視覺應用的功耗-效能平衡。

在軟體方面，提供模組化機器視覺庫和邊緣分析平台的公司憑藉其靈活的部署模型和模型管理功能，正日益受到歡迎。開放式框架和標準化 API 支援跨裝置移植，而商業供應商則透過預先檢驗的演算法庫、生命週期管理儀表板和可解釋性工具集來區分，以解決監管問題。

光學元件製造商、半導體製造商和軟體平台供應商之間的策略聯盟能夠提供捆綁解決方案，從而降低整合複雜性。此外，服務主導公司正在擴展其產品服務，例如模型管治、持續檢驗和基於訂閱的維護，以使獎勵與持續的系統效能保持一致。對於買家而言，評估供應商的藍圖、整合方案和支援承諾與評估原始技術能力同等重要。

為高階主管提供可行的藍圖，以協調技術、採購和組織能力，從而擴展可靠、經濟高效的視覺自動化

想要充分發揮電腦視覺在自動化領域的潛力，領導者必須制定整合策略，使技術採用與其組織的能力和風險接受度一致。首先，優先選擇模組化架構，將感知、運算和分析層分開。這種模組化架構有利於供應商替換，加速升級，並支援混合部署模式，允許工作負載隨著營運條件的變化在邊緣和雲端之間轉移。

其次，投資生命週期管理和卓越營運。強大的模型檢驗、監控和偏差緩解流程對於維持生產績效的一致性至關重要。圍繞資料來源和模型管治建立清晰的治理，以滿足不斷變化的合規性期望，並在工程、營運和合規團隊之間建立跨職能信任。

第三，制定兼顧彈性和成本的籌資策略。考慮關鍵部件的多源採購，選擇區域供應商以降低關稅和物流風險，並建立具有明確服務等級的支援協議，以支援整合和維護。同時，與提供聯合工程支援的供應商建立策略夥伴關係，以縮短整合時間並減少長期技術債務。

第四，重新調整人才和組織結構，以支援人機混合工作流程。將研發資源集中在建構模型的可解釋性和穩健性上，同時提升營運團隊解讀願景輸出和管理人為介入的技能。最後，在開始大規模部署之前，透過檢驗經濟和營運假設，並透過這些試點專案製定可重複的部署模式和整合模板，從而加速投資回報。

一套完善的調查方法，概述了用於彙編市場情報的資料收集、專家參與、檢驗通訊協定和分析框架

底層調查方法結合了專家的初步研究、技術檢驗和結構化整合，以產生可操作的情報。主要輸入包括對系統整合商、硬體供應商、半導體設計人員以及製造、物流、醫療保健和零售行業的最終用戶的訪談。這些對話重點關注了生產環境中重要的採用障礙、整合挑戰和營運指標。

除了專家訪談外，我們還採用了技術驗證方法，包括在代表性邊緣檢驗平台上對推理性能進行基準測試、對不同感知模式進行敏感度分析，以及查閱綜合案例研究以識別常見的故障模式。在驗證過程中，檢驗盡可能優先考慮可重現的測試條件和跨供應商比較，以發現架構上的權衡取捨，而非針對特定供應商的最佳化。

此項綜合研究基於質性洞察、技術評估以及已記錄部署經驗的三角檢驗，最終得出切實可行的建議。調查方法強調假設的透明度、不確定性，以及對特定架構選擇適用環境的識別。品管包括由領域專家進行的同儕審查和迭代修訂週期，以確保結論反映的是實際營運情況，而非理想化的實驗室條件。

最後，鑑於技術可行性本身並不能保證企業成功採用，本研究將管治、監管限制和供應鏈風險因素納入分析。這種綜合方法旨在幫助企業進行大規模部署電腦視覺技術的策略規劃和戰術性執行。

最後，我們強調了在電腦視覺市場中保持競爭優勢所需的策略要務、新興風險和組織能力。

總而言之，電腦視覺正從一項前景光明的技術，發展成為各行各業自動化的關鍵推動者。更先進的感測器、更高效的演算法和靈活的部署模型的融合，正在擴展其應用場景，並降低營運採用的門檻。然而，這種轉變也帶來了新的需求，企業必須應對這些需求才能實現永續的價值，包括管治、生命週期管理和供應鏈彈性。

從策略角度來看，最成功的採用者是那些將願景視為整合生態系統挑戰而非單點解決方案採購決策的企業。透過協調硬體選擇、軟體架構和維護機制，企業可以降低整合風險並提高結果的可預測性。此外，融合供應商多元化、模組化設計和聯合工程夥伴關係的籌資策略，在政策變化和零件供應受限的情況下，將更具韌性。

在營運方面，對模型驗證、可解釋性和人工工作流程的關注將決定視覺系統是否能在生產現場提供一致且審核的結果。因此，對培訓、跨職能管治和營運監督等組織能力的投資與對硬體和軟體的投資同等重要。未來，在本地化邊緣處理與集中式學習和編配之間取得務實的平衡，將實現可擴展、安全且適應性強的視覺部署。

總之，這些結論表明，成功採用電腦視覺需要整合技術、組織和供應鏈的連貫策略，以提供持久的營運優勢。

目錄

第1章 引言

第2章分析方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 邊緣運算和電腦視覺整合可實現生產線上的即時缺陷檢測
  • 為電子商務倉庫中的機器人擷取實施基於深度學習的視覺系統
  • 引進頻譜光譜成像和人工智慧驅動的分析技術，實現精密農業自動化
  • 在製造設施中利用 3D 立體視覺和 SLAM 演算法實現自主移動機器人
  • 在重工業中實施基於電腦視覺的安全監控和合規性追蹤
  • 人工智慧增強光學字元辨識在物流自動化文件處理的應用
  • 開發聯邦學習方法來改進網路邊緣的隱私保護視覺模型

第6章：美國關稅的累積影響（2025年）

第7章：人工智慧（AI）的累積影響（2025年）

8. 自動化電腦視覺市場（按組件）

  • 硬體
    • 網路攝影系統
    • 鏡片
    • 處理器晶片組
    • 感應器
  • 服務
    • 安裝和整合
    • 維護和支援
  • 軟體
    • 雲端基礎的軟體
    • 邊緣分析軟體
    • 機器視覺軟體

9. 自動化電腦視覺市場（按技術）

  • 3D成像
    • 立體視覺
    • 結構光
    • 飛行時間成像
  • 影像識別
    • 臉部辨識
    • 物體辨識
    • 模式識別
  • 運動偵測
    • 背景減除
    • 幀差
    • 光流
  • 熱成像
    • 紅外線成像
    • 輻射測量

第 10 章：自動化電腦視覺市場的應用

  • 導引與導航
    • 自主導航
    • 路徑規劃
  • 庫存管理
  • 物流自動化
  • 品質檢驗
    • 缺陷檢測
    • 測量和校準
    • 表面檢測
  • 機器人視覺
  • 安全/監控
    • 人群監控
    • 入侵者偵測
    • 違規偵測

第 11 章：按最終使用者產業分類的自動化電腦視覺市場

  • 航太和國防
  • 車
    • ADAS（進階駕駛輔助系統）
    • 自動駕駛汽車
  • 消費品
  • 電子和半導體
    • 晶片檢測
    • 元件放置檢驗
  • 醫療保健
    • 醫學影像
    • 病患監測
  • 製造業
  • 零售與電子商務
    • 自動結帳
    • 貨架監控

第 12 章：按地區分類的自動化電腦視覺市場

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第 13 章：自動化電腦視覺市場（按類別）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第 14 章 自動化電腦視覺市場（按國家/地區）

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第15章競爭格局

  • 市佔率分析（2024年）
  • FPNV定位矩陣（2024年）
  • 競爭分析
    • Cognex Corporation
    • Keyence Corporation
    • Teledyne Technologies Incorporated
    • National Instruments Corporation
    • Basler Aktiengesellschaft
    • Omron Corporation
    • Datalogic SpA
    • MVTec Software GmbH
    • IDS Imaging Development Systems GmbH
    • SICK AG
Product Code: MRR-43470FC6082B

The Computer Vision in Automation Market is projected to grow by USD 6.60 billion at a CAGR of 16.86% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 1.89 billion
Estimated Year [2025] USD 2.22 billion
Forecast Year [2032] USD 6.60 billion
CAGR (%) 16.86%

Executive introduction to the role of computer vision in automation and how strategic adoption is reshaping operational workflows and competitive advantage

The integration of computer vision into automation programs has moved from an experimental phase into mainstream strategic planning across industrial and commercial sectors. Advances in sensing hardware, edge compute, and algorithmic efficiency have collectively lowered barriers to deployment, enabling organizations to embed vision capabilities in tasks ranging from precision inspection to autonomous navigation. Early adopters are transitioning proof-of-concept projects into sustained operational workflows, and the technology is increasingly recognized not merely as an add-on but as a foundational enabler of higher-throughput, lower-variability processes.

As organizations prioritize operational resilience and agility, computer vision is being applied to complement human expertise rather than replace it. In practice, this means hybrid workflows that pair automated visual inspection with human adjudication for edge cases, and vision-assisted robotics that enable more flexible cell layouts and faster changeovers. These hybrid models reduce the cognitive burden on human operators, improve quality consistency, and create measurable gains in throughput without requiring wholesale redesign of existing production systems.

Moreover, the maturation of deployment paradigms-cloud, edge, and distributed orchestration-has broadened the range of viable use cases. Edge analytics now enable real-time decision making in latency-sensitive environments, while cloud-based models support federated learning and centralized model management. As a result, decision-makers are focusing on the end-to-end ecosystem: sensors and optics, compute and inference engines, data pipelines, and lifecycle management policies. This ecosystem view is essential for achieving predictable performance, regulatory compliance, and sustainable total cost of ownership over the technology life cycle.

Transformative shifts in computer vision technology and deployment models that are accelerating automation across manufacturing, logistics, healthcare, and beyond

The landscape of computer vision in automation is undergoing transformative shifts driven by concurrent advances in hardware, algorithmic design, and deployment architectures. Sensor innovations-such as higher dynamic range imaging, time-of-flight depth capture, and refined thermal radiometry-are expanding the palette of visual data available to automation systems. At the same time, model architectures optimized for efficiency and robustness are enabling inference at the edge with constrained power budgets, making vision-enabled automation feasible in previously impractical contexts.

Deployment models are evolving from monolithic, on-premises solutions to hybrid architectures that distribute responsibilities across edge nodes and cloud services. This shift enables low-latency local decision making while preserving centralized oversight for model updates, anomaly detection, and cross-site learning. As a consequence, organizations can scale consistent vision capabilities across distributed facilities while maintaining governance over model drift and data provenance.

Ecosystem dynamics are also changing: partnerships between sensor manufacturers, semiconductor firms, and software platform providers are accelerating integrative product offerings. These collaborations reduce integration friction for adopters by delivering validated stacks that combine optics, compute, and analytics out of the box. Meanwhile, open-source communities and standardized data formats are lowering barriers to entry for algorithm developers, which is expanding the pool of innovation while also increasing the emphasis on robust validation and reproducibility.

Finally, regulatory and ethical considerations are increasingly shaping technological choices. Concerns about privacy, explainability, and compliance with sector-specific standards are prompting a move toward transparent model design, auditable data pipelines, and rigorous testing protocols. Together, these shifts are not only expanding the scope of applications but are also elevating the governance and engineering disciplines required to achieve reliable, scalable deployments.

Cumulative effects of United States tariff policies implemented in 2025 and their strategic implications for supply chain resilience and procurement choices in computer vision

Policy decisions and trade measures originating in major economies can materially affect supply chains and procurement strategies across the computer vision value chain. Tariff adjustments in 2025 introduced additional complexity for organizations sourcing imaging components, processors, and specialized sensors. Companies dependent on cross-border supply chains have had to reassess vendor relationships, lead-time buffers, and inventory strategies to maintain continuity of automation programs.

Because the computer vision stack is inherently multi-sourced-combining optics, sensors, semiconductors, and systems integration-tariff-induced cost differentials have driven procurement teams to evaluate near-shoring and multi-source strategies. These approaches emphasize supplier diversity, qualification of alternative vendors, and increased use of contract manufacturing to mitigate exposure. Consequently, procurement frameworks now more frequently include scenario planning for trade disruptions, with an emphasis on modular designs that allow component substitutions with minimal revalidation.

In parallel, the tariffs have accelerated conversations about vertical integration for organizations seeking control over critical components. Some end users have explored investments in captive supply or secured longer-term agreements with strategic partners to hedge against price volatility and long lead times. While such moves can improve resilience, they also introduce trade-offs in capital allocation and operational focus, requiring a disciplined evaluation of core competencies versus supplier roles.

From an innovation perspective, the tariff environment has catalyzed an increased focus on software-defined differentiation. When hardware price pressure constrains budgets, software and systems engineering-such as improved calibration routines, model compression, and adaptive algorithms-become avenues to deliver performance gains without proportional hardware spend. In short, tariff dynamics in 2025 have pushed organizations to balance supply chain resilience, architectural modularity, and software innovation to sustain and scale their computer vision initiatives.

Segment-driven perspectives revealing how components, technologies, applications and industry end users are redefining value chains and procurement priorities

A nuanced segmentation view reveals where technology choices and purchasing priorities intersect, and provides a practical lens for designing procurement and deployment strategies. Based on component, stakeholders evaluate three primary domains: hardware, services, and software. Hardware considerations extend to camera systems, lenses, processors and chipsets, and sensors, each carrying distinct technical trade-offs around resolution, latency, and environmental robustness. Services overlay these hardware choices with installation and integration, and maintenance and support, which are essential for lifecycle uptime. Software offerings span cloud-based software, edge analytics software, and machine vision software, and these layers govern model deployment, version control, and inference orchestration.

When analyzed through the technology axis, deployments vary by sensing modality and algorithmic approach. Three-dimensional imaging techniques such as stereo vision, structured light, and time-of-flight imaging address spatial perception needs for guidance and measurement. Image recognition methods-encompassing facial recognition, object recognition, and pattern recognition-drive high-level classification and decisioning tasks. Motion detection approaches like background subtraction, frame differencing, and optical flow enable temporal analysis for tracking and anomaly detection. Thermal imaging modalities, including infrared imaging and radiometry, provide non-visible-spectrum information valuable for condition monitoring and safety-focused applications.

Application segmentation surfaces where investments yield operational impact. Guidance and navigation requirements map to autonomous navigation and path planning capabilities, whereas inventory management and logistics automation emphasize identification, counting, and routing. Quality inspection workstreams require specialized defect detection, measurement and calibration, and surface inspection techniques to meet tolerance requirements. Robotics vision integrates perception with actuation, and safety and surveillance use cases focus on crowd monitoring, intruder detection, and violations detection to preserve asset and personnel safety.

Finally, end user industries shape functional requirements and regulatory constraints. Aerospace and defense demand rigorous qualification and traceability, the automotive sector emphasizes advanced driver assistance systems and autonomous vehicles, and consumer goods suppliers prioritize speed and cost-effectiveness. Electronics and semiconductors require precise chip inspection and component placement validation, while healthcare implementations revolve around medical imaging and patient monitoring with heightened privacy and validation needs. Manufacturing relies on robust, repeatable deployments and retail and e-commerce prioritize checkout automation and shelf monitoring to improve customer experience. Taken together, this segmentation framework helps organizations prioritize capability investments and align procurement to the performance and compliance needs of specific operational contexts.

Regional dynamics and strategic hubs shaping adoption rates, investment flows, and ecosystem development across Americas, Europe Middle East Africa and Asia Pacific

Regional dynamics continue to shape the pace and pattern of computer vision adoption, with distinct innovation hubs and regulatory environments influencing strategic priorities. In the Americas, commercial and industrial adoption is marked by mature service ecosystems, strong systems integration capabilities, and a focus on scaling pilot projects into multi-site deployments. The availability of a broad partner network facilitates complex integrations and long-term service arrangements, and there is a pronounced emphasis on performance validation and operational metrics.

Europe, the Middle East & Africa demonstrate a diverse set of drivers ranging from regulatory emphasis on privacy and safety to targeted industrial modernization programs. In many European markets, compliance and explainability are central to procurement decisions, and public-sector investments in intelligent infrastructure create opportunities for surveillance, traffic management, and safety applications. Across the Middle East and Africa, strategic investments in logistics and manufacturing hubs are driving selective adoption of automation technologies where labor dynamics and supply chain objectives align.

Asia-Pacific remains a hotbed of rapid deployment, with strong manufacturing ecosystems, concentrated semiconductor supply chains, and aggressive adoption in retail, consumer electronics, and automotive sectors. The region benefits from vertically integrated suppliers and a high density of innovation clusters, which accelerates time-to-deployment for novel sensing and compute solutions. However, Asia-Pacific also presents a heterogeneous regulatory and standards environment, requiring tailored approaches to localization, data handling, and interoperability.

Across these regions, cross-border partnerships, standards harmonization, and talent availability are recurring themes that determine how quickly and efficiently organizations can move from pilot to production. For multinational firms, the optimal approach blends global standards for governance with localized execution strategies that account for supply chain realities, regulatory obligations, and workforce skills.

Competitive company-level insights focused on supplier strategies, partnership models, IP positioning and product roadmaps shaping next-generation computer vision solutions

Company-level dynamics in the computer vision ecosystem show a mix of platform integrators, specialized hardware vendors, semiconductor leaders, and software innovators. Platform integrators and system houses concentrate on delivering validated stacks that reduce integration friction for end users, focusing on interoperability, lifecycle support, and vertical-specific solutions. These firms often invest in certified integration programs and extended maintenance agreements to reduce total cost of ownership concerns and support long-term uptime commitments.

Specialized hardware vendors remain critical, particularly suppliers of high-performance camera systems, lenses, and sensors. Their innovation centers on increasing dynamic range, improving spectral sensitivity, and enhancing physical robustness for industrial environments. Semiconductor players continue to push compute density and energy efficiency, enabling more sophisticated inference at the edge. These companies are pursuing tighter coupling between silicon and software toolchains to simplify model deployment, accelerate time to market, and optimize power-performance trade-offs for embedded vision applications.

On the software side, firms that provide modular machine vision libraries and edge analytics platforms are gaining traction by offering flexible deployment models and model-management capabilities. Open frameworks and standardized APIs support portability across devices, and commercial providers are differentiating through pre-validated algorithm libraries, lifecycle management dashboards, and explainability toolsets that address regulatory concerns.

Partnership strategies are increasingly important: strategic alliances between optics manufacturers, semiconductor companies, and software platform providers enable bundled solutions that reduce integration complexity. Additionally, service-led companies are expanding their offerings to include model governance, continuous validation, and subscription-based maintenance that align incentives with sustained system performance. For buyers, evaluating vendor roadmaps, integration playbooks, and support commitments has become as important as assessing raw technical capabilities.

Actionable roadmap for executives to align technology, procurement, and organizational capabilities to scale reliable and cost-effective vision-enabled automation

Leaders seeking to realize the full potential of computer vision in automation should pursue an integrated strategy that aligns technology adoption with organizational capabilities and risk tolerance. First, prioritize modular architecture choices that decouple sensing, compute, and analytics layers. This modularity simplifies supplier substitution, accelerates upgrades, and supports hybrid deployment patterns that can shift workloads between edge and cloud as operational conditions change.

Second, invest in lifecycle management and operational excellence. Robust processes for model validation, monitoring, and drift mitigation are essential to maintain consistent performance in production. Establish clear governance for data provenance and model explainability to meet evolving compliance expectations and to facilitate cross-functional trust between engineering, operations, and compliance teams.

Third, design procurement strategies that balance resilience and cost. Consider multi-sourcing critical components, qualifying regional suppliers to mitigate tariff and logistics exposure, and negotiating support arrangements that include defined service levels for integration and maintenance. In parallel, cultivate strategic partnerships with suppliers that offer co-engineering support to reduce integration time and long-term technical debt.

Fourth, reorient talent and organizational structures to support hybrid human-machine workflows. Upskill operational teams in interpreting vision outputs and managing human-in-the-loop interventions, while ensuring R&D resources are focused on embedding explainability and robustness into models. Finally, accelerate return on investment through targeted pilot portfolios that validate economic and operational hypotheses before committing to large-scale rollouts, and use those pilots to codify repeatable deployment patterns and integration templates.

Robust research methodology outlining data collection, expert engagement, validation protocols, and analytical frameworks used to compile the market intelligence

The underlying research approach combines primary expert engagement, technical validation, and structured synthesis to produce actionable intelligence. Primary inputs included interviews with system integrators, hardware suppliers, semiconductor designers, and end users across manufacturing, logistics, healthcare, and retail applications. These conversations focused on deployment barriers, integration challenges, and operational metrics that matter in production environments.

Complementing expert interviews, the analysis employed technical validation practices such as benchmarking of inference performance across representative edge compute platforms, sensitivity analysis for different sensing modalities, and review of integration case studies to identify common failure modes. Wherever possible, validation prioritized reproducible test conditions and cross-vendor comparisons to reveal architectural trade-offs rather than vendor-specific optimizations.

Synthesis relied on triangulation across qualitative insights, technical assessment, and documented deployment experience to derive practical recommendations. The methodology emphasized transparency in assumptions, explicit articulation of uncertainty, and identification of contexts where a particular architectural choice is preferred. Quality control included peer review by domain specialists and iterative revision cycles to ensure the conclusions reflect operational realities rather than idealized lab conditions.

Finally, the research captured governance considerations, regulatory constraints, and supply chain risk factors as integral components of the analysis, recognizing that technical feasibility alone does not guarantee successful enterprise adoption. This integrative methodology is intended to inform both strategic planning and tactical execution for organizations deploying computer vision at scale.

Concluding synthesis highlighting strategic imperatives, emergent risks and the organizational capabilities required to sustain competitive advantage with computer vision

In conclusion, computer vision is transitioning from a promising technology to a critical enabler of automation across a broad spectrum of industries. The confluence of improved sensors, more efficient algorithms, and flexible deployment models has expanded viable use cases and lowered barriers to operational adoption. Yet this transition brings new demands for governance, lifecycle management, and supply chain resilience that organizations must address to realize sustainable value.

Strategically, the most successful adopters will be those that treat vision as an integrated ecosystem challenge rather than a point-solution procurement decision. By aligning hardware choices, software architectures, and maintenance regimes, organizations can reduce integration risk and improve predictability of outcomes. Moreover, procurement strategies that incorporate supplier diversification, modular design, and co-engineering partnerships will prove more resilient in the face of policy shifts and component supply constraints.

Operationally, attention to model validation, explainability, and human-in-the-loop workflows will determine whether vision systems deliver consistent, auditable results in production. Investments in organizational capabilities-training, cross-functional governance, and operational monitoring-are therefore as important as investments in hardware and software. Looking ahead, a pragmatic balance between localized edge processing and centralized learning and orchestration will enable scalable, secure, and adaptive vision deployments.

Taken together, these conclusions underscore that successful computer vision adoption depends on coherent strategies that integrate technical, organizational, and supply chain considerations to achieve enduring operational advantage.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Integration of edge computing and computer vision for real-time defect detection on production lines
  • 5.2. Adoption of deep learning-powered vision systems for robotic bin picking in e-commerce warehouses
  • 5.3. Deployment of multispectral imaging and AI-driven analytics for precision agricultural automation
  • 5.4. Use of 3D stereo vision and SLAM algorithms for autonomous mobile robots in manufacturing facilities
  • 5.5. Implementation of computer vision-based safety monitoring and compliance tracking in heavy industry
  • 5.6. Application of AI-enhanced optical character recognition for automated document processing in logistics
  • 5.7. Development of federated learning approaches to improve privacy-preserving vision models at the network edge

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Computer Vision in Automation Market, by Component

  • 8.1. Hardware
    • 8.1.1. Camera Systems
    • 8.1.2. Lenses
    • 8.1.3. Processors And Chipsets
    • 8.1.4. Sensors
  • 8.2. Services
    • 8.2.1. Installation And Integration
    • 8.2.2. Maintenance And Support
  • 8.3. Software
    • 8.3.1. Cloud-Based Software
    • 8.3.2. Edge Analytics Software
    • 8.3.3. Machine Vision Software

9. Computer Vision in Automation Market, by Technology

  • 9.1. 3D Imaging
    • 9.1.1. Stereo Vision
    • 9.1.2. Structured Light
    • 9.1.3. Time-Of-Flight Imaging
  • 9.2. Image Recognition
    • 9.2.1. Facial Recognition
    • 9.2.2. Object Recognition
    • 9.2.3. Pattern Recognition
  • 9.3. Motion Detection
    • 9.3.1. Background Subtraction
    • 9.3.2. Frame Differencing
    • 9.3.3. Optical Flow
  • 9.4. Thermal Imaging
    • 9.4.1. Infrared Imaging
    • 9.4.2. Radiometry

10. Computer Vision in Automation Market, by Application

  • 10.1. Guidance And Navigation
    • 10.1.1. Autonomous Navigation
    • 10.1.2. Path Planning
  • 10.2. Inventory Management
  • 10.3. Logistics Automation
  • 10.4. Quality Inspection
    • 10.4.1. Defect Detection
    • 10.4.2. Measurement And Calibration
    • 10.4.3. Surface Inspection
  • 10.5. Robotics Vision
  • 10.6. Safety And Surveillance
    • 10.6.1. Crowd Monitoring
    • 10.6.2. Intruder Detection
    • 10.6.3. Violations Detection

11. Computer Vision in Automation Market, by End User Industry

  • 11.1. Aerospace And Defense
  • 11.2. Automotive
    • 11.2.1. Advanced Driver Assistance Systems
    • 11.2.2. Autonomous Vehicles
  • 11.3. Consumer Goods
  • 11.4. Electronics And Semiconductors
    • 11.4.1. Chip Inspection
    • 11.4.2. Component Placement Validation
  • 11.5. Healthcare
    • 11.5.1. Medical Imaging
    • 11.5.2. Patient Monitoring
  • 11.6. Manufacturing
  • 11.7. Retail And E-Commerce
    • 11.7.1. Checkout Automation
    • 11.7.2. Shelf Monitoring

12. Computer Vision in Automation Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. Computer Vision in Automation Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. Computer Vision in Automation Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Analysis
    • 15.3.1. Cognex Corporation
    • 15.3.2. Keyence Corporation
    • 15.3.3. Teledyne Technologies Incorporated
    • 15.3.4. National Instruments Corporation
    • 15.3.5. Basler Aktiengesellschaft
    • 15.3.6. Omron Corporation
    • 15.3.7. Datalogic S.p.A.
    • 15.3.8. MVTec Software GmbH
    • 15.3.9. IDS Imaging Development Systems GmbH
    • 15.3.10. SICK AG

LIST OF FIGURES

  • FIGURE 1. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COMPONENT, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 11. AMERICAS COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. NORTH AMERICA COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. LATIN AMERICA COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. EUROPE COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. MIDDLE EAST COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. AFRICA COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASEAN COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GCC COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. EUROPEAN UNION COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. BRICS COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. G7 COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. NATO COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. COMPUTER VISION IN AUTOMATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 28. COMPUTER VISION IN AUTOMATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. COMPUTER VISION IN AUTOMATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CAMERA SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LENSES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PROCESSORS AND CHIPSETS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CLOUD-BASED SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY EDGE ANALYTICS SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MACHINE VISION SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY 3D IMAGING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STEREO VISION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY STRUCTURED LIGHT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY TIME-OF-FLIGHT IMAGING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY IMAGE RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FACIAL RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OBJECT RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATTERN RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MOTION DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY BACKGROUND SUBTRACTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY FRAME DIFFERENCING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY OPTICAL FLOW, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY THERMAL IMAGING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INFRARED IMAGING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY RADIOMETRY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY GUIDANCE AND NAVIGATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AUTONOMOUS NAVIGATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY PATH PLANNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY LOGISTICS AUTOMATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY QUALITY INSPECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY DEFECT DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 237. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY MEASUREMENT AND CALIBRATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 241. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 243. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SURFACE INSPECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 245. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 247. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 249. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 250. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY ROBOTICS VISION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 251. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, 2018-2024 (USD MILLION)
  • TABLE 252. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, 2025-2032 (USD MILLION)
  • TABLE 253. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 254. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 255. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 256. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 257. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 258. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY SAFETY AND SURVEILLANCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 259. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 260. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 261. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 262. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 263. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 264. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY CROWD MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 265. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 266. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 267. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 268. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 269. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 270. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY INTRUDER DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 271. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 272. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 273. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 274. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 275. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 276. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY VIOLATIONS DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 277. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY END USER INDUSTRY, 2018-2024 (USD MILLION)
  • TABLE 278. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY END USER INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 279. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AEROSPACE AND DEFENSE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 280. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AEROSPACE AND DEFENSE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 281. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AEROSPACE AND DEFENSE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 282. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AEROSPACE AND DEFENSE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 283. GLOBAL COMPUTER VISION IN AUTOMATION MARKET SIZE, BY AEROSPACE AND DEFENSE, BY COUNTRY, 2018-2024 (USD MILLION)

TABLE 2