市场调查报告书
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1466348
占用感测器市场:按营运、覆盖范围、建筑类型、网路连接性别、技术、应用划分 - 2024-2030 年全球预测Occupancy Sensor Market by Operation (Indoor operation, Outdoor operation), Coverage area (180-360°, 90-179°, Less than 90°), Building type, Network Connectivity, Technology, Application - Global Forecast 2024-2030 |
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预计2023年占用感测器市场规模为38.5亿美元,预计2024年将达到41.7亿美元,2030年将达到72.2亿美元,复合年增长率为9.41%。
占用感测器是指可以侦测和监控房间内人员存在的设备和装置。这些感测器用于根据居住条件控制照明、暖气和空调系统,从而提高能源效率。主要的最终用途领域包括住宅、商业、工业和政府基础设施。由于电费上涨和严格的政府法规而提高的节能要求是推动占用感测器使用的因素。对具有增强安全措施的智慧智慧家居系统的需求也促进了该行业的扩张。另一个重要因素是快速的都市化,以及引入整合建筑管理系统 (IBMS) 和物联网 (IoT) 等创新应用的技术进步。与复杂的整合过程相关的高实施成本可能会影响各行业的普及。此外,与资料隐私问题相关的担忧可能会影响客户采用此类设备的信心。然而,领先的公司和製造商正在不断投资于技术创新,以改善资料保护和增强隐私。机器学习演算法和先进的资料分析技术等部分可以帮助提高占用感测器的准确性并减少误报。
主要市场统计 | |
---|---|
基准年[2023] | 38.5亿美元 |
预测年份 [2024] | 41.7亿美元 |
预测年份 [2030] | 72.2亿美元 |
复合年增长率(%) | 9.41% |
操作:占用感测器提高室内外能源效率
室内占用感应器主要用于侦测封闭空间(例如家庭、办公室、学校、医院和零售店)内是否有人。这些感测器具有多种优点,包括透过自动照明控制节省能源、透过识别诈欺来提高建筑安全性,以及根据占用水平调整环境温度来提高舒适度。室外占用感应器对于监控停车场、行道树、公园和体育设施等公共区域以及车道和花园等私人财产非常重要。透过及时提供有关潜在危险和可疑人员的警报来提高安全性,同时透过基于即时占用的自适应室外照明系统帮助节省能源。
网路连线:透过网路连线的进步提高可访问性
有线网路连接透过乙太网路等实体电缆将占用感测器连接到控制系统。有线网路的主要优点之一是更可靠,因为讯号强度稳定且不易受到其他设备的干扰。无线网路变得越来越普及,因为它们易于安装并且可以适应建筑布局的变化。透过无线网路连接的占用感测器通常使用 Wi-Fi 和低功耗蓝牙 (BLE) 等技术与控制系统通讯。这些无线选项在感测器放置方面提供了更大的弹性,并且在某些情况下可以具有成本效益。
技术:采用不同技术的多种占用感测器的存在推动了各行业的采用
CO2 感测器主要用于商业建筑、学校和医院的室内空气品质监测,以确保适当的通风和能源效率。多普勒感测器利用多普勒效应透过测量移动物体反射波频率的变化来侦测移动。双技术占用感测器结合了两种或多种感测技术(通常是 PIR 和超音波),以提高准确性,同时减少误报。影像处理占用感测器使用摄影机和软体演算法来检测存在或不存在。它可以区分人类、动物和物体,使其适合进阶安全应用。智慧占用感测器结合了机器学习和人工智慧 (AI),以适应不断变化的环境和使用者行为模式。基于微波的感测器透过发射高频电磁波并分析移动物体的反射讯号来检测运动。它适用于检测穿过墙壁和其他障碍物的运动,并用于工业应用。被动红外线(PIR)用于检测人或物体发出的红外线辐射的变化,由于覆盖范围广、成本低,常用于住宅照明控制应用。超音波感测器是透过发射高频声波并测量声波从物体反射所需的时间来检测运动的装置,适用于有障碍物或隔间的空间。
应用:利用占用感应器提高舒适度、节能和安全性
占用感测器越来越多地整合到暖气、通风和空调 (HVAC) 系统中,以优化能源效率并提高使用者舒适度。占用感测器的感测器透过侦测空间中人员的存在或移动来自动控制温度设定、气流模式和空气品质参数。将占用感测器整合到照明系统中可以在节能和便利性方面带来显着的好处。透过自动调整照度并关闭不必要的灯光,您可以确保居住区域的最佳照度,同时显着降低电力消耗量。占用感测器透过侦测未经授权的入侵并监控限制区域内人员的存在,在增强安全和监控系统方面发挥重要作用。这些设备可以与警报器、存取控制系统和视讯监控设备等其他安全组件集成,以提供全面的安全解决方案。
区域洞察
由于政府支持政策、绿建筑措施和技术进步等多种因素,全球占用感测器市场正经历显着成长。在美国,由于政府旨在节约能源的法规和智慧家庭自动化需求的增加,占用感测器越来越受欢迎。这些法规旨在透过利用先进的照明控制来提高商业建筑的能源效率,因此需要在整个美洲部署增强型占用感测器。此外,智慧城市计划的投资增加也有助于占用感测器在美洲地区的采用。欧盟 (EU) 国家对于建筑能源性能和减少碳排放有严格的法律。对能源效率的日益关注、技术的快速进步、政府的支持性政策以及对环境永续性意识的增强正在推动对高效占用感测器的需求。由于智慧城市的持续发展,中国强劲的经济成长对占用感测器产生了巨大的需求。在日本,对先进自动化和智慧技术的持续投资以及社会 5.0 等政府倡议正在推动成长机会。此外,旨在发展永续城市中心的印度国家智慧城市使命显示了占用感测器采用的广阔前景。
FPNV定位矩阵
FPNV定位矩阵对于评估占用感测器市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限。最前线 (F)、探路者 (P)、利基 (N) 和重要 (V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对占用感测器市场中供应商的现状进行深入而详细的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该细分市场竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:包括新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争力评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5. 产品开发与创新:包括对未来技术、研发活动以及突破性产品开发的见解。
1. 占用感测器市场规模和预测是多少?
2.在占用感测器市场预测期内,我们应该考虑投资哪些产品和应用?
3. 占用感测器市场的技术趋势和法规结构是什么?
4.占用感测器市场主要供应商的市场占有率为何?
5. 进入占用感测器市场的适当型态和策略手段是什么?
[189 Pages Report] The Occupancy Sensor Market size was estimated at USD 3.85 billion in 2023 and expected to reach USD 4.17 billion in 2024, at a CAGR 9.41% to reach USD 7.22 billion by 2030.
Occupancy sensors refer to equipment or devices capable of detecting and monitoring the presence of individuals in a room. These sensors are used for energy efficiency purposes by controlling lighting, heating, and air conditioning systems based on the occupancy status. The primary end-use sectors include residential, commercial, industrial, and government infrastructures. Increased energy-saving requirements due to rising electricity costs and stringent governmental regulations are responsible for driving the utilization of the occupancy sensors. The demand for smart home automation systems with improved security measures also contributes to the industry's expansion. Another vital factor is the rapid urbanization coupled with technological advancements that have introduced innovative applications such as integrated building management systems (IBMS) and the Internet of Things (IoT). High installation costs associated with complex integration procedures may impact their widespread adoption across different industries. Furthermore, concerns related to data privacy issues might hamper customer trust in the adoption of these devices. However, major companies and manufacturers are constantly investing in innovations to improve data protection and enhance privacy. Areas such as machine learning algorithms and advanced data analytics techniques can help enhance the accuracy of occupancy sensors while reducing false triggering instances.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 3.85 billion |
Estimated Year [2024] | USD 4.17 billion |
Forecast Year [2030] | USD 7.22 billion |
CAGR (%) | 9.41% |
Operation: Occupancy sensors improving energy efficiency in indoor and outdoor setting
Indoor occupancy sensors are primarily used to detect human presence within closed spaces such as homes, offices, schools, hospitals, and retail stores. These sensors offer multiple advantages, including energy savings through automated lighting control, improved building security by identifying unauthorized intruders, and increased comfort by adjusting ambient temperature according to occupancy levels. Outdoor occupancy sensors are crucial for monitoring public areas such as parking lots, streetscapes, parks, and sports facilities, as well as private properties such as driveways or yards. They aid in enhancing safety by providing timely alerts about potential dangers or trespassers while helping conserve energy through adaptive outdoor lighting systems based on real-time occupancy.
Network connectivity: Advancements in network connectivity leading to improved accessibility
Wired network connectivity involves the connection of occupancy sensors to control systems through physical cables, such as Ethernet. One of the primary advantages of wired networks is their reliability, as they offer consistent signal strength and less susceptibility to interference from other devices. Wireless network connectivity has become increasingly popular due to the ease of installation and enhanced ability to accommodate changes in a building's layout. Occupancy sensors connected via wireless networks typically use technologies such as Wi-Fi or Bluetooth Low Energy (BLE) to communicate with control systems. These wireless options offer increased flexibility in sensor placement and can be more cost-effective in certain scenarios.
Technology: Presence of diverse occupancy sensors based on different technologies driving adoption in various industries
CO2 sensors are used primarily for indoor air quality monitoring in commercial buildings, schools, and hospitals to ensure adequate ventilation and energy efficiency. Doppler sensors utilize the Doppler effect to detect motion by measuring the frequency change in reflected waves from moving objects. Dual technology occupancy sensors combine two or more sensing technologies (typically PIR and ultrasonic) to improve accuracy while reducing false alarms. Image processing occupancy sensors use video cameras and software algorithms to detect presence or absence. It can distinguish between humans, animals, and objects, making it suitable for high-security applications. Intelligent occupancy sensors incorporate machine learning and artificial intelligence (AI) to adapt to changing environments and user behavior patterns. Microwave-based sensors emit high-frequency electromagnetic waves that detect motion by analyzing the reflected signals from moving objects. They are suitable for detecting movement through walls or other barriers and are used in industrial applications. Passive infrared (PIR) is used to detect changes in infrared radiation emitted by people or objects and is commonly used for residential lighting control applications due to its wide coverage and low cost. Ultrasonic sensors refer to devices that emit high-frequency sound waves to detect motion by measuring the time it takes for the sound waves to reflect off objects and are suitable for spaces with obstacles or partitions.
Application: Utilization of occupancy sensors to drive comfort, improve energy savings and enhance security
Occupancy sensors are increasingly being integrated into heating, ventilation, and air conditioning (HVAC) systems, which optimizes energy efficiency and improves user comfort. By detecting human presence and movement in space, these sensors enable automated control of temperature settings, airflow patterns, and air quality parameters. The integration of occupancy sensors into lighting systems offers significant benefits in terms of energy savings and convenience. By automatically adjusting the intensity or switching off lights when not required, these sensors can significantly reduce electricity consumption while ensuring optimal illumination levels in occupied areas. Occupancy sensors play a critical role in enhancing security and surveillance systems by detecting unauthorized entry and monitoring human presence in restricted areas. These devices can be integrated with other security components, such as alarms, access control systems, and video surveillance equipment, to provide a comprehensive security solution.
Regional Insights
The occupancy sensor market is experiencing significant growth globally, driven by various factors such as supportive government policies, green building initiatives, and advancements in technology. In the United States, due to supportive government regulations aimed at energy conservation and increasing demand for smart home automation, the occupancy sensors have been gaining traction. Such regulations aim to achieve improvements in energy efficiency in commercial buildings through utilization of advanced lighting control, thereby necessitating the deployment of enhanced occupancy sensors throughout the Americas. Additionally, increased investments in smart city projects are contributing to the adoption of occupancy sensors in the Americas region. European Union countries have implemented strict legislation on building energy performance and carbon emissions reduction. Increased focus on energy efficiency, rapid advancements in technology, supportive government policies, and a growing awareness of environmental sustainability have driven the demand for efficiency occupancy sensors. China's robust economic growth creates a substantial demand for occupancy sensors due to its ongoing development of smart cities. Japan's continuous investments in advanced automation and smart technologies, coupled with government initiatives such as Society 5.0, foster growth opportunities. Moreover, India presents a promising outlook for occupancy sensor adoption, driven by the national Smart City Mission that aims to develop sustainable urban centers across the country.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Occupancy Sensor Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Occupancy Sensor Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Occupancy Sensor Market, highlighting leading vendors and their innovative profiles. These include Accu-Tech Lighting Solutions, Acuity Brands, Inc., Alan Manufacturing, Inc., Analog Devices, Inc., Density Inc., Eaton Corporation PLC, Enerlites, Inc., Enlighted, Inc. by Siemens SE, General Electric Company, Honeywell International Inc., Hubbell Incorporated, Johnson Controls International PLC, Legrand SA, Leviton Manufacturing Co., Inc., Lutron Electronics Co., Inc., Novelda AS., Panasonic Corporation, PointGrab Inc., Schneider Electric SE, SensorLogic, Inc., Signify N.V., TE Connectivity Ltd., Telkonet, Inc., Texas Instruments Incorporated, and Verdigris Technologies.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Occupancy Sensor Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Occupancy Sensor Market?
3. What are the technology trends and regulatory frameworks in the Occupancy Sensor Market?
4. What is the market share of the leading vendors in the Occupancy Sensor Market?
5. Which modes and strategic moves are suitable for entering the Occupancy Sensor Market?