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License information was derived automatically
This dataset represents ambient data collected longitudinally in 189 community homes. The data are collected over 18 years, from 2007 to 2024. This is a resource for analyzing naturalistic behavior in a home and building activity recognition models that operate in the wild.
Data are collected continuously from ambient sensors while residents perform their normal routines. The data fields are date, time, sensor identifier, and message. The sensors consist of PIR (motion) sensors and magnetic door (open/close) sensors. Sensors are attached to ceilings and identified by their location in the home (e.g., Bathroom, Bedroom, DiningRoom, Bed, Bath, OfficeChair). If a home contains more than one room of a given type, the corresponding sensors are distinguished by a trailing letter to differentiate the rooms (e.g., BedroomA, BedroomB). The lens of most motion sensors are constrained to cover a 1 meter diameter area. To detect movement in a larger area, an unconstrained sensor is angled to cover an entire room or region and is indicated by Area (e.g., BedroomArea).
There is one file per home. Some of the homes also include floorplans. Additionally, data from some of the homes is labeled with activities by an external annotator. There homes in this dataset are listed below with the number of residents.
Home(s) | #Residents | Home | #Residents | Home | #Residents | ||
hh101-hh106 hh108-hh120 hh122-hh130 | 1 | hh: older adults living independently in retirement community | hh107, hh121 | 2 | |||
rw101, rw103, rw105, rw106, rw107 | 1 | rw: older adults living independently in retirement community | rw104, rw110 | 2 | |||
mv101 | 1 | mv: older adult living independently in retirement community | |||||
tm001-tm003, tm005-tm011, tm013-tm022, tm026, tm029, tm032, tm035-tm043 | 1 | tm: older adults living independently in retirement community | tm004, tm024, tm027, tm030, tm033 | 2 | |||
ihs07, ihs11, ihs12, ihs21, ihs28, ihs35, ihs37, ihs38, ihs40, ihs58, ihs59, ihs68, ihs70, ihs75, ihs80, ihs84, ihs85, ihs95, ihs96, ihs107, ihs108, ihs114, ihs118 | 1 | ihs: community-dwelling older adults | ihs06, ihs08, ihs09, ihs22, ihs25, ihs60, ihs98, ihs100, ihs101, ihs104, ihs115, ihs116, ihs117, ihs121 | 2 | ihs14, ihs31, ihs93, ihs99, ihs109, ihs119, ihs120, ihs123, ihs124, ihs125 | >2 | |
mva001-mva002 | unknown | mva: community-dwelling older adults | |||||
mn57, mn77, mn82, mn85 | 1 | mv: community-dwelling older adults | mn50, mn62, mn64, mn79, mn83, mn86 | 2 | mn33, mn51, mn58, mn59, mn61, mn71, mn73, mn76 | >2 | |
atmo1, atmo2, atmo4, atmo6-atmo10 | unknown | atmo: community-dwelling families | |||||
shib003-shib024, shiblsdf | unknown | shib: community-dwelling families | |||||
aruba | 1 | community-dwelling older adult | milan | 2 | cairo, paris | >2 | |
navan | 1 | community-dwelling adults | tulum | 2 | laval | >2 | |
kyoto10-21 | 2 | community-dwelling adults, different residents each year |
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Dataset Card for Office-Home
The Office-Home dataset has been created to evaluate domain adaptation algorithms for object recognition using deep learning. It consists of images from 4 different domains: Artistic images, Clip Art, Product images and Real-World images. For each domain, the dataset contains images of 65 object categories found typically in Office and Home settings.
Dataset Details
The dataset information is based on the original dataset website:… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/office-home.
The number of smart homes in the smart home market in the United States was modeled to stand at ************** users in 2024. Following a continuous upward trend, the number of smart homes has risen by ************* users since 2018. Between 2024 and 2029, the number of smart homes will rise by ************* users, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smart Home.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dataset created under the Connecting Europe Facility of the European Union programme, VARIOT project TENtec n. 28263632. Developed by the Intelligent Systems for Industrial Systems group supported by the Department of Education, Language policy and Culture of the Basque Government.
This dataset comprises Xiaomi Mi Home Security Basic Camera 1080P Iot device network traffic and different features under compromised operation mode.
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The Latin American Smart Home Market Report is Segmented by Product Type (Comfort and Lighting, Control and Connectivity, Energy Management, Home Entertainment, Security, Smart Appliances, and HVAC Control), Technology (Wi-Fi, Bluetooth, and Other Technologies), and Country. The Report Offers the Market Sizes and Forecasts for all the Above Segments in Value (USD).
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Introduction
Smart Home Statistics: The smart home sector has experienced significant growth, revolutionizing the way individuals interact with their homes. Fueled by the increasing demand for convenience, energy savings, and enhanced security, smart home technologies are gaining widespread adoption.
Products like smart thermostats, lighting controls, security cameras, and voice-activated assistants have become integral to modern households. The convergence of the Internet of Things (IoT), artificial intelligence (AI), and 5G connectivity is driving the rapid integration of these intelligent solutions.
As consumers seek greater automation and better living environments, the popularity of smart home devices continues to rise, transforming daily life and residential settings.
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The China Smart Home Market Report is Segmented by Product Type (Comfort and Lighting, Control and Connectivity, Energy Management, Home Entertainment, Security, Smart Appliances, and HVAC Control) and Technology (Wi-Fi, Bluetooth, and Other Technologies). The Report Offers the Market Sizes and Forecasts for all the Above Segments in Value (USD).
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Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Jul 2024 to Jul 2025 about headline figure, sales, housing, and USA.
Home Health Agencies (HHA) provide at home skilled nursing, personal care and therapeutic services. Hospices provide palliative care and alleviate the physical, emotional, social and spiritual discomforts of an individual who is experiencing the last phases of life due to the existence of a terminal disease. In addition, hospices provide supportive care for the primary care giver and the family of the hospice patient. Home health agencies and hospices submit an annual utilization report to the Office at the end of each calendar year. The report includes information on services capacity, visits, utilization, patient characteristics, and capital/equipment expenditures, and gross revenues. The documentation, including report forms, is available for each reporting year.
According to our latest research, the global smart home market size reached USD 121.4 billion in 2024, reflecting robust adoption across residential sectors worldwide. The market is witnessing a strong compound annual growth rate (CAGR) of 12.1% from 2025 to 2033, with the forecasted market size expected to hit USD 341.7 billion by 2033. This impressive growth is primarily driven by increasing consumer demand for convenience, energy efficiency, and enhanced security, as well as the ongoing integration of advanced technologies such as artificial intelligence (AI) and the Internet of Things (IoT) into household devices.
The primary growth factors fueling the expansion of the smart home market include the rapid proliferation of IoT devices and the increasing penetration of high-speed internet connectivity. As more consumers become aware of the benefits of connected living, there is a heightened demand for devices that offer seamless automation and remote control capabilities. The surge in smartphone usage and the development of user-friendly mobile applications have also made it easier for homeowners to manage their smart devices, further accelerating adoption rates. Additionally, the rising trend of home automation is supported by the growing availability of affordable smart products, enabling a broader segment of the population to participate in the smart home ecosystem.
Another significant driver is the growing emphasis on energy efficiency and sustainability. With global concerns about energy consumption and environmental impact, consumers are increasingly investing in smart home solutions that help monitor and optimize energy usage. Smart thermostats, lighting systems, and appliances are designed to reduce energy waste, lower utility bills, and support eco-friendly lifestyles. Government initiatives and incentives promoting energy-efficient technologies further bolster this trend, encouraging the integration of smart devices into new and existing homes. The synergy between smart home products and renewable energy systems, such as solar panels, is also enhancing the appeal of connected living.
Security and safety concerns are playing a pivotal role in the market's growth trajectory. The rising incidence of property crimes and the desire for enhanced home protection have led to a surge in demand for smart security systems, including surveillance cameras, smart locks, and motion detectors. These solutions offer real-time alerts, remote monitoring, and automated responses, significantly improving household security. The integration of AI and machine learning in security devices has made them more intelligent and capable of distinguishing between genuine threats and false alarms, thus providing peace of mind to homeowners. Additionally, the COVID-19 pandemic has underscored the importance of contactless solutions and remote access, further propelling the smart home market.
Smart Home Automation is revolutionizing the way we interact with our living spaces, offering unprecedented levels of convenience and control. By integrating various devices and systems, smart home automation allows homeowners to manage lighting, climate, security, and entertainment from a single platform. This seamless integration not only enhances the user experience but also contributes to energy efficiency and cost savings. As technology continues to advance, smart home automation is becoming more intuitive, with features like predictive analytics and machine learning enabling homes to adapt to the preferences and routines of their occupants. The future of smart home automation promises even greater connectivity and personalization, making it an essential component of modern living.
From a regional perspective, North America currently dominates the global smart home market, accounting for the largest revenue share in 2024. This leadership is attributed to the high adoption rates of advanced technologies, strong purchasing power, and the presence of major industry players in the region. Europe follows closely, driven by increasing investments in smart infrastructure and favorable regulatory frameworks. The Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, rising disposable incomes, and government initiatives promoting smart city developm
The global shipment total for smart home devices reached around *** million units in 2024, with *** million of those coming from the video entertainment category alone. Of the specifically described types of devices, home monitoring/security is the section that is expected to grow the most between 2024 and 2028 at a CAGR of six percent. A man's home is his (well-watched) castle Home monitoring and security devices include items such as video surveillance cameras and video doorbells. With strong product offerings such as Google's Nest and the Arlo Pro devices (Arlo is no longer a Netgear company), the number of users using smart home security devices worldwide has increased rapidly over the past years, and is set to continue increasing. Closely overlapping with home security cameras are video doorbells, a comparatively young smart home market expected to reach 1.4 billion U.S. dollars in spending by 2023. What smart devices are in the "other" category? The "other" category of smart home devices is another segment anticipated to reach high numbers of shipments. This section includes sensors and detectors, as well as smart switches and digital health devices. One reason this section of various devices could increase is that, as the smart home market grows, more devices that were previously not connected will be developed to have smart capabilities. For example, the use of robotic vacuum cleaners increased in recent years.
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The smart home systems and devices market is experiencing robust growth, driven by increasing consumer adoption of connected devices, rising disposable incomes, and a growing preference for convenience and automation. The market, while mature in certain segments like smart speakers (driven by established players like Amazon Echo and Google Assistant), continues to expand into new areas such as smart appliances, enhanced security systems, and integrated energy management solutions. Factors like improved internet connectivity, decreasing device costs, and the development of user-friendly interfaces are further fueling this expansion. While security concerns and interoperability issues pose challenges, the market's overall trajectory remains positive, with a projected continued rise in adoption across both residential and commercial applications. The competitive landscape is highly dynamic, featuring both established tech giants and specialized smart home companies vying for market share through innovation and strategic partnerships. Future growth will likely be shaped by the increasing integration of AI and machine learning, enabling more personalized and proactive home automation experiences. This growth is anticipated to continue through 2033, albeit at a potentially moderating CAGR, influenced by market saturation in some segments and ongoing economic conditions. The segment breakdown likely showcases a diverse range of devices, from smart lighting and thermostats to advanced security systems and home entertainment solutions. Regional variations in market penetration are expected, with developed regions like North America and Europe exhibiting higher adoption rates compared to emerging markets. However, emerging markets present significant untapped potential, promising considerable growth opportunities as infrastructure develops and consumer purchasing power increases. The success of individual companies within this market will depend on their ability to offer innovative, user-friendly products, robust security features, seamless integration with existing systems, and effective marketing strategies targeting specific consumer demographics.
The average daily in-home data usage in the United States has increased significantly during the coronavirus (COVID-19) outbreak in March 2020. Compared to the same time in March 2019 the daily average in-home data usage has increased by 38 percent to 16.6 gigabytes, up from 12 gigabytes in March 2019. The increase can be observed across almost all device categories with the data usage of gaming consoles and smartphones increasing the most.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.
This report is an MS Excel spreadsheet broken up by state, similar to the HOME Participating Jurisdiction's Open Activities Reports. The purpose of the HOME Participating Jurisdictions Vacant Units Reports is to help HOME Participating Jurisdictions identify units in HOME projects that are marked “vacant” in the Integrated Disbursement and Information System (IDIS). If the vacant units are part of a completed HOME IDIS activity, occupancy and beneficiary data should be entered for these units.
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The global smart home systems market is experiencing robust growth, driven by increasing consumer adoption of smart devices and the rising demand for enhanced home security and energy efficiency. The market, estimated at $50 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. This expansion is fueled by several key factors. Technological advancements, such as the development of more sophisticated and user-friendly smart home devices and improved integration capabilities across different platforms, are significantly impacting market growth. Furthermore, the increasing affordability of smart home technology and the rising adoption of smart assistants like Alexa and Google Home are making these systems accessible to a broader range of consumers. The rising concerns regarding home security and the increasing need for energy conservation are also major catalysts for market growth. However, challenges such as concerns about data privacy, cybersecurity vulnerabilities, and the complexity of setting up and managing integrated systems could potentially hinder market expansion. The market is segmented by product type (including security systems, lighting control, energy management systems, entertainment systems, and others), by technology (Z-Wave, Zigbee, Bluetooth, Wi-Fi, and others), and by end-user (residential and commercial). Major players such as ADT, Honeywell, Vivint, and others are strategically investing in research and development, expanding their product portfolios, and focusing on mergers and acquisitions to gain a competitive edge in this rapidly evolving landscape. Regional variations in adoption rates are expected, with North America and Europe likely to maintain leading positions due to higher levels of technological adoption and disposable income. However, emerging markets in Asia-Pacific are anticipated to show strong growth potential in the coming years, driven by increasing urbanization and rising middle-class incomes. The future of smart home systems hinges on continuous innovation in areas such as artificial intelligence, improved interoperability, and enhanced cybersecurity measures.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Home Intrusion AI is a dataset for object detection tasks - it contains Home Intrusion annotations for 6,894 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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The Smart Home Solutions Market is estimated to be valued at USD 111.0 billion in 2025 and is projected to reach USD 353.9 billion by 2035, registering a compound annual growth rate (CAGR) of 12.3% over the forecast period.
Attribute | Value |
---|---|
Market Size in 2025 | USD 111.0 billion |
Market Size in 2035 | USD 353.9 billion |
CAGR (2025 to 2035) | 12.3% |
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License information was derived automatically
Monthly single-family home sales in Connecticut, 2001 through the present. Data updated monthly by the Connecticut Housing Finance Authority and tracked in the following dashboard: https://www.chfa.org/about-us/ct-monthly-housing-market-dashboard/.
CHFA has stopped maintaining the dashboard and associated datasets, and this dataset will no longer be updated as of 2022.
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The smart home hub market is experiencing robust growth, driven by increasing consumer adoption of smart home devices and the rising demand for seamless home automation. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching a substantial market value. This growth is fueled by several key factors. Firstly, the declining cost of smart home devices and improved internet connectivity are making smart home technology more accessible to a wider consumer base. Secondly, the convenience and enhanced security offered by centralized control systems are significant drivers. Consumers appreciate the ability to manage lighting, temperature, security systems, and entertainment from a single interface, improving energy efficiency and lifestyle convenience. The integration of voice assistants like Alexa and Google Assistant further boosts user experience and drives market penetration. Finally, the increasing sophistication of smart home hubs, offering features like advanced analytics, energy management, and remote monitoring, is attracting both homeowners and businesses. The market segmentation reveals a strong preference for Wi-Fi enabled hubs in both home and commercial applications, although Bluetooth connectivity also holds a significant market share, especially in smaller-scale deployments. The market, however, faces certain restraints. Concerns about data privacy and security remain a significant hurdle, impacting consumer confidence. Interoperability issues between different smart home devices and platforms also pose a challenge, hindering seamless integration and potentially frustrating users. Furthermore, the relatively high initial investment required for setting up a smart home system can discourage some consumers, especially in developing economies. Despite these challenges, the long-term growth prospects for the smart home hub market remain positive, fueled by continuous technological advancements, decreasing prices, and the ongoing proliferation of smart home devices within diverse regional markets. North America and Europe currently lead in market share due to high adoption rates and advanced infrastructure, but Asia-Pacific is projected to experience significant growth in the coming years driven by rapid urbanization and increasing disposable incomes.
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The Smart Home Security Services Market Report is Segmented by Product Type (Video Surveillance, Access Control, and More), Component (Hardware, Software, and Services), End-Use (Independent / Detached Homes, Apartments and Condominiums, and More), Installation Type (Professional Installation and Self Installation), and Geography.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset represents ambient data collected longitudinally in 189 community homes. The data are collected over 18 years, from 2007 to 2024. This is a resource for analyzing naturalistic behavior in a home and building activity recognition models that operate in the wild.
Data are collected continuously from ambient sensors while residents perform their normal routines. The data fields are date, time, sensor identifier, and message. The sensors consist of PIR (motion) sensors and magnetic door (open/close) sensors. Sensors are attached to ceilings and identified by their location in the home (e.g., Bathroom, Bedroom, DiningRoom, Bed, Bath, OfficeChair). If a home contains more than one room of a given type, the corresponding sensors are distinguished by a trailing letter to differentiate the rooms (e.g., BedroomA, BedroomB). The lens of most motion sensors are constrained to cover a 1 meter diameter area. To detect movement in a larger area, an unconstrained sensor is angled to cover an entire room or region and is indicated by Area (e.g., BedroomArea).
There is one file per home. Some of the homes also include floorplans. Additionally, data from some of the homes is labeled with activities by an external annotator. There homes in this dataset are listed below with the number of residents.
Home(s) | #Residents | Home | #Residents | Home | #Residents | ||
hh101-hh106 hh108-hh120 hh122-hh130 | 1 | hh: older adults living independently in retirement community | hh107, hh121 | 2 | |||
rw101, rw103, rw105, rw106, rw107 | 1 | rw: older adults living independently in retirement community | rw104, rw110 | 2 | |||
mv101 | 1 | mv: older adult living independently in retirement community | |||||
tm001-tm003, tm005-tm011, tm013-tm022, tm026, tm029, tm032, tm035-tm043 | 1 | tm: older adults living independently in retirement community | tm004, tm024, tm027, tm030, tm033 | 2 | |||
ihs07, ihs11, ihs12, ihs21, ihs28, ihs35, ihs37, ihs38, ihs40, ihs58, ihs59, ihs68, ihs70, ihs75, ihs80, ihs84, ihs85, ihs95, ihs96, ihs107, ihs108, ihs114, ihs118 | 1 | ihs: community-dwelling older adults | ihs06, ihs08, ihs09, ihs22, ihs25, ihs60, ihs98, ihs100, ihs101, ihs104, ihs115, ihs116, ihs117, ihs121 | 2 | ihs14, ihs31, ihs93, ihs99, ihs109, ihs119, ihs120, ihs123, ihs124, ihs125 | >2 | |
mva001-mva002 | unknown | mva: community-dwelling older adults | |||||
mn57, mn77, mn82, mn85 | 1 | mv: community-dwelling older adults | mn50, mn62, mn64, mn79, mn83, mn86 | 2 | mn33, mn51, mn58, mn59, mn61, mn71, mn73, mn76 | >2 | |
atmo1, atmo2, atmo4, atmo6-atmo10 | unknown | atmo: community-dwelling families | |||||
shib003-shib024, shiblsdf | unknown | shib: community-dwelling families | |||||
aruba | 1 | community-dwelling older adult | milan | 2 | cairo, paris | >2 | |
navan | 1 | community-dwelling adults | tulum | 2 | laval | >2 | |
kyoto10-21 | 2 | community-dwelling adults, different residents each year |