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市场调查报告书
商品编码
1867582
人流监控系统:全球市占率及排名、总收入及需求预测(2025-2031年)People Counting System - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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2024 年全球客流统计系统市场规模估计为 8.52 亿美元,预计到 2031 年将达到 13.37 亿美元,在 2025 年至 2031 年的预测期内,复合年增长率为 6.9%。
人流测量系统是一种电子设备,用于测量通过特定通道或入口的人数。例如,简单的手动计数器、红外线光束、热成像系统、WiFi追踪器以及使用先进机器学习演算法的视讯计数器。它们常用于零售商店,以评估行销宣传活动的有效性、建筑设计和布局,以及特定品牌的受欢迎程度。
人流测量系统市场的主要企业包括 ShopperTrak、RetailNext、Brickstream、DILAX Intelcom GmbH、IRIS-GmbH、Eurotech SpA、InfraRed Integrated Systems、Axiomatic Technology、Hikvision 和 Axis Communication AB,其中前 10 家公司约占 40% 的市场份额。
市场主要驱动因素包括:
1. 零售业的数位转型和精准行销需求
数据驱动决策:随着实体零售业竞争日益激烈,零售商需要透过精准的顾客动线数据分析来优化营运策略。例如,购物中心和连锁店已部署客流测量系统,即时监测顾客的移动路径、停留时间和转换率,从而调整商品陈列、优化人员配置并制定个人化的行销方案。
技术支援:基于深度学习的人工智慧演算法(例如 YOLO 和 Faster R-CNN)能够以超过 98% 的准确率即时追踪顾客移动,并协助产生按部门、时间段等分類的统计报告。这种非接触式管理方法为商店提供动态监控和紧急清点功能,同时避免干扰正常运作。
应用场景拓展:除了传统零售业,无人便利商店、智慧旅游景点等新兴场景也利用客流追踪系统优化资源配置并提供安全预警。例如,在旅游景点,即时客流监控可以有效预防拥堵,提升游客体验。
2.公共和监管要求
政策合规要求:在国家层面,《国家资讯化「十四五」规划》和《建设数位中国纲要》要求加强基础人口资讯资料库建设,推进人口资料的即时监测和智慧分析。在地方层面,例如新疆维吾尔自治区《妇女权益保护条例》规定,人流密集场所女性用卫生间比例至少为2:1,直接推动了公共设施的智慧化改造。
安全监控需求:在交通枢纽(地铁、机场等)和商业设施等高密度环境中,人流测量系统已成为安全监控的重要组成部分。例如,引入人工智慧驱动的动态人群识别解决方案可以即时监测异常情况并触发警报,从而提升公共场所的安全管理水准。
资料隐私保护:诸如《个人资讯保护法》之类的隐私法规对系统设计提出了更严格的要求,迫使公司采用联邦学习等保护隐私的计算技术,以确保在医疗保健和教育机构等敏感场景中资料合规和安全共用。
3. 人工智慧技术的进步和成本的降低
演算法最佳化:电脑视觉和深度学习演算法(例如捲积神经网路)的进步显着提高了人流计数系统的识别准确率,并大幅降低了误报率。多模态感测系统(结合红外线摄影机、毫米波雷达和影像分析)的误报率已降至0.5%以下,比以往技术提高了40%。
降低硬体成本:国产AI加速晶片的运算密度正以每年35%的速度提升,预计到2028年成本将比进口晶片低60%。透过边缘运算和云端平台的融合实现路径最佳化,可实现高效的本地处理,进一步降低系统部署的总成本。
应用场景不断拓展:人工智慧驱动的运动辨识解决方案在交通枢纽、商业设施等领域的应用率预计将大幅提升,到2030年将占据超过70%的市场。此外,轻量化部署和多系统协同已成为关键的技术突破,推动产业从单一功能设备转型为智慧决策支援系统。
人流测量系统市场的成长主要受三大因素驱动:零售业的数位转型、公共政策的推进以及人工智慧技术的进步和成本的降低。未来,随着技术融合的不断深化和场景创新,该产业将呈现规模扩张和智慧化升级同步推进的趋势。
本报告旨在对全球人流测量系统市场进行全面分析,重点关注总收入、市场份额和主要企业的排名,并按地区/国家、类型和应用进行分析。
本报告以销售收入为指标,对人流测量系统市场规模、估算和预测进行了呈现,以 2024 年为基准年,并涵盖了 2020 年至 2031 年的历史数据和预测数据。报告运用定量和定性分析,帮助读者制定业务/成长策略,评估市场竞争格局,分析公司在当前市场中的地位,并就人流测量系统做出明智的商业决策。
市场区隔
公司
按类型分類的细分市场
应用领域
按地区
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.