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市場調查報告書
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1835393

2025 年至 2032 年全球電腦視覺監控市場預測（按組件、技術、應用、最終用戶和部署模式）

Computer Vision in Surveillance Market by Component, Technology, Application, End User, Deployment Mode - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 185 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，監控電腦視覺市場將成長至 77 億美元，複合年成長率為 9.79%。

主要市場統計數據
基準年2024年 36.4億美元
預計2025年 40億美元
預測年份：2032年 77億美元
複合年成長率（%） 9.79%

電腦視覺在監控領域的變革作用的高層定位

本執行摘要提供了監控領域電腦視覺的策略背景，包括先進的演算法、不斷發展的感測器以及不斷變化的法規環境。監控技術正在從基本的攝影系統發展到整合光學、計算和分析技術的堆疊，這些技術相結合，可實現持續的情境察覺、自動化威脅檢測和更豐富的營運洞察。因此，各組織正在重新思考如何建立基礎設施、確定投資優先順序以及管理數據，以平衡安全、隱私和營運效率。

透過本摘要，讀者可以全面了解影響採購、部署和持續管理決策的技術發展軌跡、政策變化和商業性動態。本書重點介紹了現代解決方案如何從被動記錄轉向主動監控，從而提高檢測準確性和響應速度，同時減少人工工作量。因此，為了從監控專案中實現持久價值，領導者不僅必須評估供應商的能力，還必須評估互通性、生命週期支援和道德使用框架。

最後，引言部分重點闡述了企業面臨的關鍵選擇，為深入分析奠定了基礎：是優先考慮邊緣運算還是集中處理，如何管理混合部署模式，以及如何在資料保護規則不斷發展的同時確保合規性。這些考量構成了後續章節的基石，將深入剖析市場變化、資費影響、細分考慮、區域動態、競爭格局，並為尋求負責任且有效地利用電腦視覺的領導者提供實用建議。

機器感知技術的突破、智慧感測器的普及以及自動化情境察覺監控需求的不斷成長，正在深刻地改變監控格局。新的架構融合了神經網路主導的分析、多模態感測器融合和可擴展的運算平台，使系統不僅能夠偵測事件，還能預測可能的結果並確定回應的優先順序。這種能力的深度不斷提升將使組織從被動事件回應轉向主動風險緩解，從根本上改變安全團隊分配注意力和資源的方式。

同時，部署模式也在不斷發展。邊緣處理降低了延遲和頻寬消耗，而雲端平台則為模型訓練和跨站點關聯提供了彈性運算。這種混合方法提升了彈性，並支援新興用例，從即時邊界執行到複雜的人群行為分析。同時，軟體授權和訂閱模式的進步加速了對持續更新、模型最佳化和營運分析的訪問，使部署能夠快速成熟，而無需中斷硬體更新周期。

此外，社會和監管壓力也在塑造這些技術變革。隨著相關人員期望的不斷提升，隱私權保護技術、透明的管治框架和可解釋的人工智慧正成為當務之急。因此，道德設計和審核不再是可有可無的，而是成為長期應用的核心要求。這些趨勢共同創造了一個動態環境，技術創新、管治成熟度和切合實際的部署策略將決定誰能從智慧監控解決方案中獲得最大價值。

最近的關稅如何改變採購、供應鏈彈性、監控系統部署以及供應商生態系統中的架構選擇

關稅和貿易措施的實施，為監控生態系統的籌資策略、供應鏈彈性和供應商選擇帶來了關鍵的曲折點。關稅主導的成本壓力正促使許多組織重新評估其採購模式，加速供應商多元化，並測試旨在減少對單一來源硬體依賴的替代架構。事實上，採購團隊正在將地緣政治風險評估納入供應商評估中，並要求提高組件來源和製造足跡的透明度。

因此，系統整合商和技術供應商紛紛做出應對，調整了材料清單，盡可能實現本地化組裝，並強調透過可跨多種硬體平台部署的軟體來提升差異化價值。這種轉變促進了模組化設計和可互通的標準，有助於在保持功能能力的同時管理成本波動。同時，海關審查的加強和前置作業時間的延長，也使得庫存規劃、分階段部署和關鍵計劃應急計畫的重要性日益凸顯。

在營運方面，關稅的影響間接推動了人們對邊緣中心運算和軟體訂閱的興趣，這些訂閱將長期價值與硬體更新周期脫鉤。透過傾向於雲端和混合管理，並優先考慮分析的可移植性，組織可以在硬體採購中斷的情況下保持能力的連續性。對於政策制定者和合規團隊而言，累積影響凸顯了在貿易政策目標與公共和關鍵基礎設施保護的營運現實之間取得平衡的必要性。最終，關稅環境將迫使公共和私營部門的部署採取更具策略性和彈性的採購和架構方法。

一個全面的細分框架，連接組件、技術、應用程式、最終用戶和部署模式，以推動實際的採購和設計決策

清楚地理解細分市場對於設計和採購兼顧營運目標和生命週期的解決方案至關重要。市場根據組件分類為硬體、服務和軟體，其中硬體包括傳統類比攝影機和現代 IP 攝影機，軟體則提供永久授權模式和訂閱模式。從類比系統到 IP 系統的過渡通常會觸發向網路化基礎架構的架構轉變，從而實現更豐富的分析和集中管理。

從技術角度來看，這些技術包括行為分析、臉部辨識、物件偵測和視訊分析，每種技術都有其自身的多層次專業化。行為分析進一步分為異常行為和運動模式識別，為人群管理和預警系統提供工具。臉部辨識功能分為 2D 和3D方法，它們在準確性、環境穩健性和隱私影響方面有所不同。物體檢測分為後處理和即時檢測，反映了處理延遲和吞吐量之間的權衡。視訊分析包含深度學習主導的分析和基於規則的系統，分別提供自適應模式識別或確定性策略實施。

應用程式反映了人群分析、周邊安全、零售分析和流量監控等營運用例，引導從可擴展性到延遲等功能需求。最終用戶涵蓋銀行和金融、政府、醫療保健、零售和交通運輸等多個行業，每個行業都有各自的監管約束、安全優先級和整合期望。最後，部署模式（雲端或本地端）的選擇決定了資料管治、延遲設定檔和維護職責，從而影響長期營運策略。整合這些分段層可以實現客製化的解決方案設計，以滿足技術需求、合規性要求和業務成果。

策略性區域分析探討了當地法規、採購慣例和生態系統成熟度如何影響監控技術的採用和跨境部署策略

區域動態對技術採用、監管方法和合作夥伴生態系統有著顯著的影響，影響不同司法管轄區的解決方案選擇和營運實務。在美洲，通常高度重視互通性、基於標準的整合和分析主導的營運成果，採購決策通常會在本地製造考量與技術性能和整體所有權影響之間取得平衡。相較之下，歐洲、中東和非洲則呈現多元化的監管格局，其中資料保護、跨境資料流和本地合規機制顯著影響部署架構和供應商選擇標準。

同時，亞太地區對邊緣智慧和城市規模整合舉措的採用速度很快，需求也很旺盛。這種環境正在推動感測器設計和系統整合的創新，同時也引入了不同的採購規範和監管期望。這種環境正在推動感測器設計和系統整合的創新，同時也引入了不同的採購規範和監管期望。根據地區的不同，供應商和整合商正在調整打入市場策略，同時考慮到當地的認證要求、服務模式和夥伴關係生態系統。因此，規劃多區域部署的組織必須協調安全策略、資料處理實務和互通性標準，以避免碎片化並保持營運一致性。

區域策略之間的過渡需要謹慎協調管治、技術和供應商關係。將架構決策與區域管理體制和業務實踐結合，可以最佳化部署時間表，降低合規風險，並充分利用區域安裝、維護和事件回應能力。這種方法不僅能增強技術一致性，還能增強相關人員對支援公共和商業營運的系統的信心。

對供應商生態系統的深入評估，突顯了硬體創新、軟體差異化、整合商能力和平台互通性之間的相互作用

監控電腦視覺領域的競爭態勢體現了傳統攝影機製造商、晶片和感測器供應商、雲端平台提供者、系統整合商以及新興軟體專家的融合。領先的硬體製造商不斷改進光學元件、低照度性能和板載運算，以實現更先進的邊緣分析；而晶片組供應商則專注於提高每瓦性能，以便在功率限制內實現即時推理。同時，軟體創新者和模型開發者則在演算法準確性、對環境變化的穩健性以及透過標準化 API 與異質硬體整合的能力方面展開競爭。

系統整合商和託管服務供應商透過提供設計、安裝、校準和持續調優服務，在將能力轉化為營運成果方面發揮關鍵作用。這些組織擴大將分析訂閱、託管和事件回應捆綁在一起，以提供符合客戶服務水準期望的基於成果的服務。同時，雲端和平台供應商也透過可擴展的訓練流程、模型生命週期管理和跨站點關聯功能來脫穎而出，從而實現企業範圍的情境察覺。

夥伴關係策略、認證計劃和開放標準日益決定市場吸引力。重視互通性、透明的模型效能指標和隱私保護功能的供應商正贏得採購團隊和合規負責人的更多信任。因此，競爭優勢源於平衡的價值提案，該主張將高性能感知演算法、靈活的部署選項以及安全、審核的營運記錄相結合。

策略價值鏈建議，以最大限度地提高電腦視覺部署的價值，包括架構設計、管治、技能開發和供應鏈彈性

產業領導者必須採取務實且具前瞻性的策略，才能在管理風險的同時，充分發揮電腦視覺的優勢。首先，優先考慮模組化架構，將分析與硬體分離，以實現供應商靈活性、應對中斷的韌性以及平穩的升級路徑。透過設計支援可互換感測器和標準化介面的系統，企業可以減少鎖定，並長期最佳化效能。其次，採用混合部署模型，將邊緣運算（用於延遲敏感型任務）與雲端（用於集中關聯和模型訓練）結合。這種平衡既能保持即時響應能力，又能透過聚合學習實現持續改進。

第三，制度化管治框架，將隱私設計、模型審核和清晰的保留策略融入其中，以維護公眾信任和監管合規性。相關人員應在大規模部署之前定義可接受的用例、監控機制和補救程序。第四，投資於持續模型檢驗支援持續的營運績效。

最後，透過多元化供應商、在切實可行的情況下採用本地組裝以及協商考慮關稅和前置作業時間波動的合約條款來增強供應鏈的彈性。將這些措施與檢驗整合假設並允許逐步擴展的試驗計畫結合。結合這些建議將有助於企業實現營運效率、保持合規性並適應不斷變化的技術和貿易環境。

混合方法調查方法，結合初步訪談、供應商中立技術檢驗和基於場景的綜合，確保實際相關性

本摘要所依據的研究採用了混合方法，以確保觀點的平衡和實踐相關性。主要研究包括與技術領導者、系統整合商、採購負責人和合規專業人員進行結構化訪談，以了解營運痛點、採購促進因素和實施重點。這些訪談與演算法開發人員和硬體工程師進行的技術簡報相輔相成，從而根據當前的能力限制和技術創新的發展軌跡得出結論。結合相關人員的觀點，增加了定性研究的深度，並揭示了在更複雜的分析中往往未提及的實施層面的考慮。

二次研究系統地審查了官方監管指南、標準文件、供應商技術規範以及關於感知演算法和隱私保護技術的同行評審文獻。我們專注於透過與供應商無關的基準測試和可重複的效能評估來交叉檢驗技術聲明。我們盡可能根據可演示的部署、現場報告和整合案例研究來檢驗技術聲明，以確保規範性指導能夠反映實際行為，而非理論上的性能極限。

最後，調查方法採用三角測量法來協調不同觀點並辨識穩健模式。該過程包括跨來源的迭代整合、對供應鍊和政策變數的敏感性檢查，以及情境分析，以突出可能對架構和採購決策產生重大影響的突發事件。由此得出的洞察旨在優先考慮可行的建議和與營運相關的觀點，以支持技術相關人員和高階主管做出明智的決策。

簡潔的策略結論強調了技術機會、監管限制以及彈性和道德部署策略需求之間的平衡

總而言之，電腦視覺正在重新定義監控，它實現了主動、智慧的監控，從單純的觀察到可操作的情境察覺。增強型感測器、高效的邊緣運算和日益強大的分析能力相結合，正在推動新的應用，同時也帶來了重大的管治和採購挑戰。能夠協調架構、採購和管治的領導者能夠獲得持續的營運價值，同時最大限度地降低法律、道德和物流風險。

此外，貿易措施和區域監管差異的累積影響凸顯了建立具有韌性的供應鏈和靈活部署策略的必要性。優先考慮模組化、互通性和強力管治的組織將能夠更有效地應對技術機會與政策約束之間的相互作用。因此，監控專案可以負責任地擴展，改善安全結果，並融入更廣泛的企業風險管理框架。

這意味著要利用機器感知來增強決策能力，同時實施透明的控制措施，保護隱私和公民自由。如此一來，相關人員就能實現智慧監控的願景，保護資產、簡化營運並支持社會安全目標——所有這些都不會損害信任或合規性。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 推出支援 Edge AI 的鏡頭，用於智慧城市中的即時物體檢測和異常警報
  • 利用聯邦學習在分散式攝影機網路中進行隱私權保護監控分析
  • 整合熱成像和電腦視覺，增強弱光和極端天氣條件下的目標識別
  • 使用基於深度學習的行為分析來預測零售店和交通樞紐的可疑活動
  • 實施視訊摘要技術以加速法醫調查並減少審查時間
  • 為可擴展的多租戶安全監控解決方案開發雲端原生電腦視覺平台
  • 利用合成資料產生來提高模型準確性並減少臉部辨識系統中的偏差
  • 將 3D 電腦視覺和深度感應應用於高階周界安全和入侵偵測

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

8. 電腦視覺監控市場（按組件）

  • 硬體
    • 類比攝影機
    • 網路攝影機
  • 服務
  • 軟體
    • 永遠
    • 訂閱

9. 電腦視覺監控市場（依技術）

  • 行為分析
    • 例外行為
    • 運作模式
  • 臉部辨識
    • 2D臉部辨識
    • 3D臉部辨識
  • 物體偵測
    • 後處理檢測
    • 即時偵測
  • 影片分析
    • 深度學習分析
    • 基於規則的分析

第 10 章：電腦視覺監控市場的應用

  • 人群分析
  • 周邊安全
  • 零售分析
  • 流量監控

第 11 章：電腦視覺監控市場（按最終用戶）

  • 銀行與金融
  • 政府
  • 衛生保健
  • 零售
  • 運輸

第 12 章：按部署模式分類的監控市場電腦視覺

  • 雲
  • 本地部署

第 13 章：按地區分類的監控電腦視覺市場

  • 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 14 章。按組別分類的監控市場電腦視覺

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

第 15 章。按國家/地區分類的監控市場電腦視覺

  • 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16章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Hangzhou Hikvision Digital Technology Co., Ltd.
    • Zhejiang Dahua Technology Co., Ltd.
    • Axis Communications AB
    • Robert Bosch GmbH
    • Hanwha Vision Co., Ltd.
    • Motorola Solutions, Inc.
    • Teledyne Technologies Incorporated
    • Vivotek Inc.
    • Uniview Technologies Co., Ltd.
    • Panasonic Corporation
Product Code: MRR-43470FC60833

The Computer Vision in Surveillance Market is projected to grow by USD 7.70 billion at a CAGR of 9.79% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 3.64 billion
Estimated Year [2025] USD 4.00 billion
Forecast Year [2032] USD 7.70 billion
CAGR (%) 9.79%

High-level orientation to the transformative role of computer vision in surveillance outlining strategic imperatives for technology, policy, and operational leaders

This executive summary introduces the strategic context for computer vision in surveillance by framing the converging forces of advanced algorithms, sensor evolution, and changing regulatory environments. Surveillance technology has transitioned from basic camera systems to an integrated stack of optics, compute, and analytics that together enable persistent situational awareness, automated threat detection, and enriched operational insights. As a result, organizations are rethinking how they architect infrastructure, prioritize investments, and govern data to balance safety, privacy, and operational effectiveness.

Throughout this summary, readers will find a synthesis of technological trajectories, policy shifts, and commercial dynamics that collectively shape decision-making for procurement, deployment, and ongoing management. The narrative emphasizes how modern solutions move beyond passive recording to active monitoring, reducing human workload while increasing detection accuracy and response speed. Consequently, leaders must assess not only vendor capabilities but also interoperability, lifecycle support, and ethical use frameworks to realize durable value from their surveillance programs.

Finally, the introduction sets the stage for deeper analysis by highlighting critical choices organizations face: whether to prioritize edge compute versus centralized processing, how to manage hybrid deployment models, and how to ensure compliance amid evolving data protection rules. These considerations form the backbone of subsequent sections, which unpack market shifts, tariff impacts, segmentation insights, regional dynamics, competitive landscapes, and pragmatic recommendations for leaders seeking to harness computer vision responsibly and effectively.

The surveillance landscape is undergoing transformative shifts driven by breakthroughs in machine perception, the proliferation of intelligent sensors, and a rising demand for automated, context-aware monitoring. Emerging architectures blend neural-network-driven analytics, multimodal sensor fusion, and scalable compute platforms, enabling systems to not only detect events but also predict likely outcomes and prioritize responses. As capabilities deepen, organizations move from reactive incident review to proactive risk mitigation, fundamentally changing how security teams allocate attention and resources.

Simultaneously, deployment models are evolving: edge processing reduces latency and bandwidth consumption, while cloud platforms provide elastic compute for model training and cross-site correlation. This hybrid approach fosters resilience and supports new use cases, from real-time perimeter enforcement to complex crowd behavior analysis. In parallel, advances in software licensing and subscription models have accelerated access to continuous updates, model improvements, and operational analytics, enabling deployments to mature rapidly without disruptive hardware refresh cycles.

Moreover, societal and regulatory pressures shape these technological shifts. Privacy-preserving techniques, transparent governance frameworks, and explainable AI are rising to the forefront as stakeholder expectations increase. Consequently, ethical design and auditability are becoming not optional extras but core requirements for long-term adoption. Taken together, these trends create a dynamic environment in which technical innovation, governance maturity, and pragmatic deployment strategies determine who captures the most value from intelligent surveillance solutions.

Assessment of how recent tariff measures have reshaped procurement, supply chain resilience, and architectural choices across surveillance deployments and vendor ecosystems

The introduction of tariffs and trade measures has created a material inflection point for procurement strategies, supply chain resilience, and vendor selection in the surveillance ecosystem. Tariff-driven cost pressures have prompted many organizations to reevaluate sourcing patterns, accelerate supplier diversification, and test alternative architectures that reduce dependence on single-origin hardware. In practice, procurement teams are layering geopolitical risk assessments into vendor evaluations and demanding greater transparency about component provenance and manufacturing footprints.

As a result, systems integrators and technology vendors have adapted by adjusting bill-of-materials, localizing assembly where feasible, and emphasizing software-differentiated value that can be deployed on a variety of hardware platforms. This shift incentivizes modular designs and interoperable standards, which help buyers manage cost volatility while preserving functional capabilities. In parallel, increased customs scrutiny and longer lead times have elevated the importance of inventory planning, staged rollouts, and contingency provisioning for critical projects.

On the operational side, tariffs have indirectly accelerated interest in edge-centric compute and software subscriptions that decouple long-term value from hardware refresh cycles. By leaning into cloud or hybrid management and prioritizing analytics portability, organizations can maintain continuity of capability despite hardware sourcing disruptions. For policymakers and compliance teams, the cumulative impact underscores the need to balance trade policy objectives with the operational realities of public safety and critical infrastructure protection. Ultimately, the tariff environment compels a more strategic, resilient approach to procurement and architecture across both public and private sector deployments.

Comprehensive segmentation framework linking components, technologies, applications, end users, and deployment modes to actionable procurement and design decisions

A clear understanding of segmentation is essential to designing and procuring solutions that align with operational goals and lifecycle considerations. Based on component, the market divides into hardware, services, and software, with hardware encompassing legacy analog cameras and modern IP cameras and software available under both perpetual license and subscription models; this distinction drives decisions about upgrade cadence, total cost of ownership, and integration paths. Transitioning from analog to IP systems often triggers architectural shifts toward networked infrastructure, enabling richer analytics and centralized management, while the choice between perpetual and subscription licensing affects how organizations access updates, support, and model retraining.

From a technology perspective, the landscape spans behavior analysis, face recognition, object detection, and video analytics, each with layered specializations. Behavior analysis further segments into abnormal behavior and motion pattern recognition, offering tools for crowd management and early warning systems. Face recognition capability ranges between two-dimensional and three-dimensional approaches, with different accuracy, environmental robustness, and privacy implications. Object detection differentiates between post processing and real time detection, reflecting trade-offs between processing latency and throughput, and video analytics covers both deep learning-driven analytics and rule-based systems, which respectively provide adaptive pattern recognition or deterministic policy enforcement.

Applications reflect operational use cases such as crowd analytics, perimeter security, retail analytics, and traffic monitoring, guiding functional requirements from scalability to latency. End users span sectors including banking and finance, government, healthcare, retail, and transportation, each presenting unique regulatory constraints, security priorities, and integration expectations. Finally, deployment mode choices of cloud versus on premise determine data governance, latency profiles, and maintenance responsibilities and thus influence long-term operational strategies. Integrating these segmentation layers enables tailored solution design that addresses technical requirements, compliance imperatives, and business outcomes.

Strategic regional analysis revealing how local regulations, procurement practices, and ecosystem maturity shape surveillance technology adoption and cross-border deployment strategies

Regional dynamics exert a pronounced influence on technology adoption, regulatory approaches, and partner ecosystems, shaping how solutions are selected and operated across jurisdictions. The Americas often emphasize interoperability, standards-based integration, and a strong emphasis on analytics-driven operational outcomes, with procurement decisions commonly balancing local manufacturing considerations against technological performance and total ownership implications. In contrast, Europe, Middle East & Africa reflect a diverse regulatory mosaic where data protection, cross-border data flows, and local compliance mechanisms significantly influence deployment architectures and vendor selection criteria.

Meanwhile, the Asia-Pacific region demonstrates rapid deployment velocity and a strong appetite for edge intelligence and integrated city-scale initiatives; this environment fosters innovation in sensor design and systems integration while also introducing varying procurement norms and regulatory expectations. Across regions, suppliers and integrators adapt their go-to-market strategies to account for local certification requirements, service models, and partnership ecosystems. Consequently, organizations planning multi-region rollouts must harmonize security policies, data handling practices, and interoperability standards to avoid fragmentation and maintain operational consistency.

Transitioning between regional strategies requires careful orchestration of governance, technology, and supplier relationships. By aligning architectural decisions with regional regulatory regimes and commercial practices, practitioners can optimize deployment timelines, mitigate compliance risk, and leverage local capabilities for installation, maintenance, and incident response. This approach yields not only technical consistency but also fosters stakeholder trust in the systems that support public safety and commercial operations.

Insightful evaluation of vendor ecosystems highlighting the interplay between hardware innovation, software differentiation, integrator capabilities, and platform interoperability

Competitive dynamics in the surveillance computer vision space reflect a blend of legacy camera manufacturers, chip and sensor suppliers, cloud platform providers, systems integrators, and emerging software specialists. Leading hardware suppliers continue to refine optics, low-light performance, and onboard compute to enable more sophisticated edge analytics, while chipset vendors focus on performance-per-watt improvements that permit real-time inference within constrained power envelopes. At the same time, software innovators and model developers compete on the basis of algorithmic accuracy, robustness to environmental variation, and the ability to integrate with heterogeneous hardware through standardized APIs.

Systems integrators and managed service providers play a critical role in translating capability into operational outcomes by offering design, installation, calibration, and continuous tuning services. These organizations increasingly bundle analytics subscriptions, managed hosting, and incident response to provide outcome-based offerings that align with customer service-level expectations. In parallel, cloud and platform providers differentiate through scalable training pipelines, model lifecycle management, and cross-site correlation capabilities that enable enterprise-wide situational awareness.

Partnership strategies, certification programs, and open standards increasingly determine market traction. Vendors that prioritize interoperability, transparent model performance metrics, and privacy-preserving features gain greater trust among procurement teams and compliance officers. Therefore, competitive advantage stems from a balanced value proposition that combines high-performing perception algorithms, flexible deployment options, and a proven track record of secure, auditable operations.

Actionable strategic recommendations for architecture design, governance, skill development, and supply chain resilience to maximize value from computer vision deployments

Industry leaders must adopt pragmatic, forward-looking strategies to capture the benefits of computer vision while managing risk. First, prioritize modular architectures that decouple analytics from hardware to enable vendor flexibility, resilience to trade disruptions, and smoother upgrade paths. By designing systems that support interchangeable sensors and standardized interfaces, organizations reduce lock-in and can optimize performance over time. Second, adopt hybrid deployment models that combine edge for latency-sensitive tasks and cloud for centralized correlation and model training; this balance preserves real-time responsiveness while enabling continual improvement through aggregated learning.

Third, institutionalize governance frameworks that incorporate privacy-by-design, model auditability, and clear retention policies to maintain public trust and regulatory compliance. Stakeholders should define acceptable use cases, oversight mechanisms, and redress procedures before large-scale rollouts. Fourth, invest in skills and processes for continuous model validation and performance monitoring, ensuring analytics remain robust against environmental shifts, adversarial attempts, and dataset drift. Tools and workflows for retraining, A/B testing, and explainability will support sustained operational performance.

Finally, strengthen supply chain resilience by diversifying suppliers, embracing local assembly where practical, and negotiating contract terms that account for tariff volatility and lead-time variability. Combine these measures with pilot programs that validate integration assumptions and allow phased scaling. Together, these recommendations will help organizations achieve operational efficacy, maintain compliance, and adapt to an evolving technology and trade environment.

Transparent overview of the mixed-methods research approach combining primary interviews, vendor-neutral technical validation, and scenario-based synthesis to ensure practical relevance

The research underpinning this summary employed a mixed-methods approach to ensure balanced perspective and practical relevance. Primary research included structured interviews with technology leaders, systems integrators, procurement officers, and compliance specialists to capture operational pain points, procurement drivers, and deployment priorities. These interviews complemented technical briefings with algorithm developers and hardware engineers to ground conclusions in current capability constraints and innovation trajectories. The combination of stakeholder perspectives provided qualitative depth and surfaced implementation-level considerations that often go unreported in higher-level analyses.

Secondary research involved a systematic review of public regulatory guidance, standards documentation, vendor technical specifications, and peer-reviewed literature on perception algorithms and privacy-preserving techniques. Emphasis was placed on cross-validating technological claims through vendor-neutral benchmarks and reproducible performance assessments. Wherever possible, technological assertions were verified against demonstrable deployments, field reports, and integration case studies to ensure that prescriptive guidance reflects real-world behavior rather than theoretical performance ceilings.

Finally, the methodology used triangulation to reconcile divergent views and identify robust patterns. This process involved iterative synthesis across sources, sensitivity checks around supply chain and policy variables, and scenario analysis to highlight contingencies that materially affect architecture and procurement decisions. The resulting insights prioritize implementable recommendations and operationally relevant observations intended to support informed decision-making by technical and executive stakeholders.

Concise synthesis of strategic conclusions highlighting the balance between technological opportunity, regulatory constraints, and the need for resilient, ethical deployment strategies

In conclusion, computer vision is redefining surveillance by enabling proactive, intelligent monitoring that extends beyond mere observation to actionable situational awareness. The combination of enhanced sensors, efficient edge compute, and increasingly capable analytics fuels new applications while raising important governance and procurement challenges. Leaders who align architecture, procurement, and governance will capture durable operational value while minimizing legal, ethical, and logistical risk.

Moreover, the cumulative effects of trade measures and regional regulatory variability underscore the need for resilient supply chains and adaptable deployment strategies. Organizations that emphasize modularity, interoperability, and robust governance will more effectively navigate the interplay between technological opportunity and policy constraint. As a result, surveillance programs can scale responsibly, improve safety outcomes, and integrate into broader enterprise risk management frameworks.

Looking ahead, success will depend on a pragmatic balance between innovation and responsibility: embracing machine perception to enhance decision-making while implementing transparent controls that safeguard privacy and civil liberties. By doing so, stakeholders can realize the potential of intelligent surveillance to protect assets, streamline operations, and support societal safety objectives without compromising trust or compliance.

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. Deployment of edge AI-enabled cameras for real-time object detection and anomaly alerts in smart cities
  • 5.2. Adoption of federated learning for privacy-preserving surveillance analytics across distributed camera networks
  • 5.3. Integration of thermal imaging with computer vision to enhance target identification in low-light or extreme weather conditions
  • 5.4. Use of deep learning-based behavioral analysis to predict suspicious activities in retail and transportation hubs
  • 5.5. Implementation of video summarization technologies to accelerate forensic investigations and reduce review times
  • 5.6. Development of cloud-native computer vision platforms for scalable multi-tenant security monitoring solutions
  • 5.7. Leveraging synthetic data generation to improve model accuracy and reduce bias in facial recognition systems
  • 5.8. Application of 3D computer vision and depth sensing for advanced perimeter security and intrusion detection

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Computer Vision in Surveillance Market, by Component

  • 8.1. Hardware
    • 8.1.1. Analog Camera
    • 8.1.2. IP Camera
  • 8.2. Services
  • 8.3. Software
    • 8.3.1. Perpetual
    • 8.3.2. Subscription

9. Computer Vision in Surveillance Market, by Technology

  • 9.1. Behavior Analysis
    • 9.1.1. Abnormal Behavior
    • 9.1.2. Motion Pattern
  • 9.2. Face Recognition
    • 9.2.1. 2D Face Recognition
    • 9.2.2. 3D Face Recognition
  • 9.3. Object Detection
    • 9.3.1. Post Processing Detection
    • 9.3.2. Real Time Detection
  • 9.4. Video Analytics
    • 9.4.1. Deep Learning Analytics
    • 9.4.2. Rule Based Analytics

10. Computer Vision in Surveillance Market, by Application

  • 10.1. Crowd Analytics
  • 10.2. Perimeter Security
  • 10.3. Retail Analytics
  • 10.4. Traffic Monitoring

11. Computer Vision in Surveillance Market, by End User

  • 11.1. Banking And Finance
  • 11.2. Government
  • 11.3. Healthcare
  • 11.4. Retail
  • 11.5. Transportation

12. Computer Vision in Surveillance Market, by Deployment Mode

  • 12.1. Cloud
  • 12.2. On Premise

13. Computer Vision in Surveillance Market, by Region

  • 13.1. Americas
    • 13.1.1. North America
    • 13.1.2. Latin America
  • 13.2. Europe, Middle East & Africa
    • 13.2.1. Europe
    • 13.2.2. Middle East
    • 13.2.3. Africa
  • 13.3. Asia-Pacific

14. Computer Vision in Surveillance Market, by Group

  • 14.1. ASEAN
  • 14.2. GCC
  • 14.3. European Union
  • 14.4. BRICS
  • 14.5. G7
  • 14.6. NATO

15. Computer Vision in Surveillance Market, by Country

  • 15.1. United States
  • 15.2. Canada
  • 15.3. Mexico
  • 15.4. Brazil
  • 15.5. United Kingdom
  • 15.6. Germany
  • 15.7. France
  • 15.8. Russia
  • 15.9. Italy
  • 15.10. Spain
  • 15.11. China
  • 15.12. India
  • 15.13. Japan
  • 15.14. Australia
  • 15.15. South Korea

16. Competitive Landscape

  • 16.1. Market Share Analysis, 2024
  • 16.2. FPNV Positioning Matrix, 2024
  • 16.3. Competitive Analysis
    • 16.3.1. Hangzhou Hikvision Digital Technology Co., Ltd.
    • 16.3.2. Zhejiang Dahua Technology Co., Ltd.
    • 16.3.3. Axis Communications AB
    • 16.3.4. Robert Bosch GmbH
    • 16.3.5. Hanwha Vision Co., Ltd.
    • 16.3.6. Motorola Solutions, Inc.
    • 16.3.7. Teledyne Technologies Incorporated
    • 16.3.8. Vivotek Inc.
    • 16.3.9. Uniview Technologies Co., Ltd.
    • 16.3.10. Panasonic Corporation

LIST OF FIGURES

  • FIGURE 1. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. EUROPE COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. MIDDLE EAST COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. ASEAN COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. GCC COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. EUROPEAN UNION COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. BRICS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. G7 COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. NATO COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. COMPUTER VISION IN SURVEILLANCE MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 30. COMPUTER VISION IN SURVEILLANCE MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. COMPUTER VISION IN SURVEILLANCE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ANALOG CAMERA, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY IP CAMERA, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERPETUAL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBSCRIPTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ABNORMAL BEHAVIOR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY MOTION PATTERN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 2D FACE RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY 3D FACE RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY POST PROCESSING DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REAL TIME DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEEP LEARNING ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RULE BASED ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CROWD ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY PERIMETER SECURITY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRAFFIC MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BANKING AND FINANCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY GOVERNMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY RETAIL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 209. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 210. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 211. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 212. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 213. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 214. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 215. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 216. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 217. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 218. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 219. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2018-2024 (USD MILLION)
  • TABLE 220. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2025-2032 (USD MILLION)
  • TABLE 221. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2018-2024 (USD MILLION)
  • TABLE 222. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2025-2032 (USD MILLION)
  • TABLE 223. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2018-2024 (USD MILLION)
  • TABLE 224. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2025-2032 (USD MILLION)
  • TABLE 225. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2018-2024 (USD MILLION)
  • TABLE 226. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2025-2032 (USD MILLION)
  • TABLE 227. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 228. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 229. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 230. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 231. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 232. AMERICAS COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 233. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 234. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 235. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 236. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 237. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 238. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 239. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 240. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 241. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 242. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 243. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2018-2024 (USD MILLION)
  • TABLE 244. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2025-2032 (USD MILLION)
  • TABLE 245. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2018-2024 (USD MILLION)
  • TABLE 246. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2025-2032 (USD MILLION)
  • TABLE 247. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2018-2024 (USD MILLION)
  • TABLE 248. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2025-2032 (USD MILLION)
  • TABLE 249. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2018-2024 (USD MILLION)
  • TABLE 250. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2025-2032 (USD MILLION)
  • TABLE 251. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 252. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 253. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 254. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 255. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 256. NORTH AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 257. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 258. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 259. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 260. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 261. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 262. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 263. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 264. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 265. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 266. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 267. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2018-2024 (USD MILLION)
  • TABLE 268. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY BEHAVIOR ANALYSIS, 2025-2032 (USD MILLION)
  • TABLE 269. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2018-2024 (USD MILLION)
  • TABLE 270. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY FACE RECOGNITION, 2025-2032 (USD MILLION)
  • TABLE 271. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2018-2024 (USD MILLION)
  • TABLE 272. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY OBJECT DETECTION, 2025-2032 (USD MILLION)
  • TABLE 273. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2018-2024 (USD MILLION)
  • TABLE 274. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY VIDEO ANALYTICS, 2025-2032 (USD MILLION)
  • TABLE 275. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 276. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 277. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 278. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 279. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 280. LATIN AMERICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 281. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 282. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 283. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 284. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 285. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 286. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 287. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 288. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
  • TABLE 289. EUROPE, MIDDLE EAST & AFRICA COMPUTER VISION IN SURVEILLANCE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 290. EUROPE,