![]() |
市場調查報告書
商品編碼
1867582
人流監控系統:全球市佔率及排名、總收入及需求預測(2025-2031年)People Counting System - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
||||||
※ 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。
2024 年全球客流統計系統市場規模估計為 8.52 億美元,預計到 2031 年將達到 13.37 億美元,在 2025 年至 2031 年的預測期內,複合年成長率為 6.9%。
人流測量系統是一種電子設備,用於測量通過特定通道或入口的人數。例如,簡單的手動計數器、紅外線光束、熱成像系統、WiFi追蹤器以及使用先進機器學習演算法的視訊計數器。它們常用於零售商店,以評估行銷宣傳活動的有效性、建築設計和佈局,以及特定品牌的受歡迎程度。
人流測量系統市場的主要企業包括 ShopperTrak、RetailNext、Brickstream、DILAX Intelcom GmbH、IRIS-GmbH、Eurotech SpA、InfraRed Integrated Systems、Axiomatic Technology、Hikvision 和 Axis Communication AB,其中前 10 家公司約佔 40% 的市場佔有率。
市場主要促進因素包括:
1. 零售業的數位轉型和精準行銷需求
數據驅動決策:隨著實體零售業競爭日益激烈,零售商需要透過精準的顧客動線數據分析來最佳化營運策略。例如,購物中心和連鎖店已部署客流測量系統,即時監測顧客的移動路徑、停留時間和轉換率,從而調整商品陳列、最佳化人員配置並制定個人化的行銷方案。
技術支援:基於深度學習的人工智慧演算法(例如 YOLO 和 Faster R-CNN)能夠以超過 98% 的準確率即時追蹤顧客移動,並協助產生按部門、時間段等分類的統計報告。這種非接觸式管理方法為商店提供動態監控和緊急清點功能,同時避免干擾正常運作。
應用場景拓展:除了傳統零售業,無人便利商店、智慧旅遊景點等新興場景也利用客流追蹤系統最佳化資源配置並提供安全預警。例如,在旅遊景點,即時客流監控可以有效預防堵塞,提升遊客體驗。
2.公共和監管要求
政策合規要求:在國家層面,《國家資訊化「十四五」規劃》和《建設數位中國綱要》要求加強基礎人口資訊資料庫建設,推進人口資料的即時監測和智慧分析。在地方層面,例如新疆維吾爾自治區《婦女權益保護條例》規定,人流密集場所女性用衛生間比例至少為2:1,直接推動了公共設施的智慧化改造。
安全監控需求:在交通樞紐(地鐵、機場等)和商業設施等高密度環境中,人流測量系統已成為安全監控的重要組成部分。例如,引入人工智慧驅動的動態人群識別解決方案可以即時監測異常情況並觸發警報,從而提升公共場所的安全管理水準。
資料隱私保護:諸如《個人資訊保護法》之類的隱私法規對系統設計提出了更嚴格的要求,迫使公司採用聯邦學習等保護隱私的計算技術,以確保在醫療保健和教育機構等敏感場景中資料合規和安全共用。
3. 人工智慧技術的進步和成本的降低
演算法最佳化:電腦視覺和深度學習演算法(例如捲積神經網路)的進步顯著提高了人流計數系統的識別準確率,並大幅降低了誤報率。多模態感測系統(結合紅外線攝影機、毫米波雷達和影像分析)的誤報率已降至0.5%以下,比以往技術提高了40%。
降低硬體成本:國產AI加速晶片的運算密度正以每年35%的速度提升,預計到2028年成本將比進口晶片低60%。透過邊緣運算和雲端平台的融合實現路徑最佳化,可實現高效的本地處理,進一步降低系統部署的總成本。
應用場景不斷拓展:人工智慧驅動的運動辨識解決方案在交通樞紐、商業設施等領域的應用率預計將大幅提升,到2030年將佔據超過70%的市場。此外,輕量化部署和多系統協同已成為關鍵的技術突破,推動產業從單一功能設備轉型為智慧決策支援系統。
人流測量系統市場的成長主要受三大因素驅動:零售業的數位轉型、公共政策的推進以及人工智慧技術的進步和成本的降低。未來,隨著技術融合的不斷深化和場景創新,該產業將呈現規模擴張和智慧化升級同步推進的趨勢。
本報告旨在對全球人流測量系統市場進行全面分析,重點關注總收入、市場佔有率和主要企業的排名,並按地區/國家、類型和應用進行分析。
本報告以銷售收入為指標,對人流測量系統市場規模、估算和預測進行了呈現,以 2024 年為基準年,並涵蓋了 2020 年至 2031 年的歷史數據和預測數據。報告運用定量和定性分析,幫助讀者制定業務/成長策略,評估市場競爭格局,分析公司在當前市場中的地位,並就人流測量系統做出明智的商業決策。
市場區隔
公司
按類型分類的細分市場
應用領域
按地區
The global market for People Counting System was estimated to be worth US$ 852 million in 2024 and is forecast to a readjusted size of US$ 1337 million by 2031 with a CAGR of 6.9% during the forecast period 2025-2031.
A People Counting System is an electronic device that is used to measure the number of people traversing a certain passage or entrance. Examples include simple manual clickers, infrared beams, thermal imaging systems, WiFi trackers and video counters using advanced machine learning algorithms. They are commonly used by retail establishments to judge the effectiveness of marketing campaigns, building design and layout, and the popularity of particular brands.
The major players in the people counting system market include ShopperTrak, RetailNext, Brickstream, DILAX Intelcom GmbH, IRIS-GmbH, Eurotech S.p.A., InfraRed Integrated Systems, Axiomatic Technology, Hikvision and Axis Communication AB, the top 10 players got about 40% market shares.
The main market drivers include the following:
1. Digital transformation and precision marketing demands in the retail industry
Data-driven decision-making: As competition in brick-and-mortar businesses intensifies, retailers need to optimize operational strategies through accurate customer flow data analysis. For example, shopping malls and chain stores deploy people counting systems to monitor customer movement, dwell time, and conversion rates in real time, enabling them to adjust merchandise displays, optimize staffing, and develop personalized marketing plans.
Technology Empowerment: Deep learning-based AI algorithms (such as YOLO and Faster R-CNN) achieve high-accuracy (over 98%) real-time customer flow counting and trajectory tracking, supporting the generation of statistical reports by department, time period, and other metrics. This contactless management approach avoids disruption to normal operations while providing stores with dynamic monitoring and emergency headcounting capabilities.
Expanding Application Scenarios: Beyond traditional retail, emerging scenarios such as unmanned convenience stores and smart scenic spots are also leveraging customer flow counting systems to optimize resources and provide safety alerts. For example, scenic spots use real-time crowd monitoring to prevent congestion and enhance the visitor experience.
2. Public safety and regulatory mandates
Policy compliance requirements: At the national level, the 14th Five-Year Plan for National Informatization and the Outline for the Construction of Digital China explicitly mandate the improvement of basic population information databases and the promotion of real-time monitoring and intelligent analysis of population data. At the local level, for example, Xinjiang's Regulations on the Protection of Women's Rights and Interests stipulate that the ratio of female to male restrooms in crowded places must be at least 2:1, directly driving the intelligent transformation of public facilities.
Security monitoring needs: In high-density environments like transportation hubs (such as subways and airports) and commercial complexes, people counting systems have become a crucial component of security monitoring. For example, deploying AI-driven dynamic crowd recognition solutions can monitor anomalies in real time and trigger alerts, improving safety management in public spaces.
Data privacy protection: Privacy regulations (such as the Personal Information Protection Law) impose stricter requirements on system design, driving enterprises to adopt privacy-preserving computing technologies such as federated learning to achieve data compliance and secure sharing in sensitive scenarios (such as medical institutions and educational settings).
3. AI Technology Advances and Cost Reductions
Algorithm Optimization: Breakthroughs in computer vision and deep learning algorithms (such as CNN) have significantly improved the recognition accuracy of people counting systems and significantly reduced false alarm rates. The error rate of multimodal perception systems (integrating thermal imaging, millimeter-wave radar, and video analysis) has dropped to below 0.5%, a 40% improvement over traditional technologies.
Hardware Cost Reduction: The computing power density of domestic AI acceleration chips is increasing by 35% annually, and the cost is expected to be 60% lower than imported products by 2028. Edge computing and cloud platforms collaborate to optimize paths, achieving efficient localized processing and further reducing the overall cost of system deployment.
Expanding Application Scenarios: The penetration rate of AI-driven dynamic people recognition solutions in scenarios such as transportation hubs and commercial complexes has significantly increased, and is expected to account for over 70% of the market share by 2030. Furthermore, lightweight deployment and multi-system collaboration have become key technological breakthroughs, driving the industry's evolution from single-function devices to intelligent decision-making support systems.
The market growth of people counting systems is primarily driven by three factors: the digital transformation of the retail industry, the mandatory push of public safety policies, and the advancement and cost reduction of AI technology. In the future, with the deepening of technological integration and scenario innovation, the industry will show a trend of parallel scale growth and intelligent upgrading.
This report aims to provide a comprehensive presentation of the global market for People Counting System, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of People Counting System by region & country, by Type, and by Application.
The People Counting System market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding People Counting System.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of People Counting System company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of People Counting System in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of People Counting System in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.