By 2025, Gartner expects 80% of customer service and support organizations to use generative AI to assist agents, and that same push toward automation is reshaping how homes manage comfort, security, and energy. For window and glazing products, the stakes are real because smart window adoption is accelerating alongside expanding IoT and rising cyber risk, where the average breach containment time hit 70 days in 2023 and 80% of breaches involved a human element in 2022. This post brings those threads together to show what AI and smart window features are actually changing, backed by market, energy, and compliance data.
Key Takeaways
- 71% of US adults use a smartphone
- 88% of US adults use the internet
- In 2021, the global smart home market was valued at $79.4 billion (global market sizing estimate)
- 11.7 billion IoT connections were in use worldwide in 2021
- the global home automation market size was $8.3 billion in 2023 (with forecasts to 2030)
- $4.0 billion was the estimated 2024 North America smart home market revenue
- The average time to contain a breach was 70 days in 2023 (IBM 2023 report)
- In 2022, 80% of breaches involved a human element (Verizon DBIR)
- EU GDPR fines can be up to €20 million or 4% of annual global turnover, whichever is higher
- Windows replacement has payback periods reported often within 8 to 20 years depending on energy prices and climate (DOE estimate range for energy-efficient windows)
- The cost of AI model training can be significant: 2022 research found training large NLP models can cost from tens to millions of dollars (reported in study)
- On-demand GPU instances can cost on the order of $1 to $10+ per hour depending on provider and model size (pricing ranges documented by major cloud providers)
- US residential buildings are responsible for about 20% of total US greenhouse gas emissions (EPA)
- Smart window systems can reduce cooling energy consumption by up to 30% (peer-reviewed meta-analysis estimate)
- Dynamic shading strategies can reduce cooling loads by 10% to 50% in buildings (peer-reviewed review)
Smart windows and home AI could cut energy use and boost comfort, while growing adoption heightens cybersecurity needs.
Related reading
01 · Category
Market Size4 stats
01
71% of US adults use a smartphonehttps://www.pewresearch.org/internet/fact-sheet/mobile/
02
88% of US adults use the internethttps://www.pewresearch.org/internet/fact-sheet/internet/
03
In 2021, the global smart home market was valued at $79.4 billion (global market sizing estimate)https://www.businesswire.com/news/home/20210412005387/en/Global-Smart-Home-Market-to-Reach-
04
In 2022, the global market for smart home devices reached $57.8 billion (market sizing estimate)https://www.statista.com/statistics/802279/global-smart-home-market-value/
Interpretation
Market Size Interpretation
For the AI in the window industry, the market-size signal is strong because 71% of US adults use smartphones and 88% use the internet, while the smart home market alone swung from $79.4 billion in 2021 to $57.8 billion in 2022, showing a large and fast-evolving base where window-integrated AI could scale.
02 · Category
Industry Trends4 stats
01
11.7 billion IoT connections were in use worldwide in 2021https://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx
02
the global home automation market size was $8.3 billion in 2023 (with forecasts to 2030)https://www.fortunebusinessinsights.com/home-automation-market-102673
03
$4.0 billion was the estimated 2024 North America smart home market revenuehttps://www.marketresearch.com/smart-home-market
04
$1.0 billion in 2023 market value for AI in smart home assistants (AI-driven smart home assistant market, estimate)https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-smart-home-assistant-market-205782659.html
Interpretation
Industry Trends Interpretation
With 11.7 billion IoT connections worldwide in 2021 and North America smart home revenue projected at $4.0 billion in 2024, the industry trends point to AI becoming a mainstream layer in window and home automation ecosystems, underscored by AI in smart home assistants reaching a $1.0 billion market value in 2023.
03 · Category
Security & Compliance4 stats
01
The average time to contain a breach was 70 days in 2023 (IBM 2023 report)https://www.ibm.com/reports/data-breach
02
In 2022, 80% of breaches involved a human element (Verizon DBIR)https://www.verizon.com/business/resources/reports/dbir/
03
EU GDPR fines can be up to €20 million or 4% of annual global turnover, whichever is higherhttps://eur-lex.europa.eu/eli/reg/2016/679/oj
04
EU NIS2 directive requires essential entities to take appropriate and proportionate technical and organizational measures to manage security riskshttps://eur-lex.europa.eu/eli/dir/2022/2555/oj
Interpretation
Security & Compliance Interpretation
In the Security & Compliance landscape, breaching remains slow and people-driven with the average containment time at 70 days in 2023 and 80% of breaches involving a human element in 2022, while regulators set tough expectations like GDPR fines up to €20 million or 4% of turnover and NIS2 requiring proportionate security measures for essential entities.
More related reading
04 · Category
Cost Analysis10 stats
01
Windows replacement has payback periods reported often within 8 to 20 years depending on energy prices and climate (DOE estimate range for energy-efficient windows)https://www.energy.gov/energysaver/energy-efficient-windows
02
The cost of AI model training can be significant: 2022 research found training large NLP models can cost from tens to millions of dollars (reported in study)https://arxiv.org/abs/2104.10350
03
On-demand GPU instances can cost on the order of $1to $10+ per hour depending on provider and model size (pricing ranges documented by major cloud providers)https://azure.microsoft.com/en-us/pricing/details/virtual-machines/
04
Google Cloud’s Vertex AI training costs are priced per hour based on machine type and accelerators (transparent pricing model)https://cloud.google.com/vertex-ai/pricing
05
AWS SageMaker training pricing is based on instance-hour rates plus storage/IO (pricing page)https://aws.amazon.com/sagemaker/pricing/
06
EU Taxonomy disclosure rules require substantial disclosure thresholds for large undertakings (Directive thresholds apply to some smart-home operators)https://eur-lex.europa.eu/eli/reg/2020/852/oj
07
In 2023, the US average retail price of electricity was about $0.15per kWh (EIA)https://www.eia.gov/electricity/annual/
08
Average US residential natural gas price was about $14.5per thousand cubic feet in 2023 (EIA)https://www.eia.gov/naturalgas/annual/
09
AI can reduce forecast error: retailers using AI forecasting reported reductions of 10% to 20% in forecast error in case studies (Gartner-cited range)https://www.gartner.com/en/newsroom/press-releases/2020-10-14-gartner-forecast-analysis-and-reporting
10
In a 2022 study, computer vision-based defect detection reduced inspection time by 50% compared with manual inspection (industry experiment)https://www.sciencedirect.com/science/article/pii/S0924013621002604
Interpretation
Cost Analysis Interpretation
Cost analysis suggests that while energy-efficient window upgrades often pay back within 8 to 20 years, AI initiatives bring potentially large upfront training expenses and ongoing GPU costs, yet they can still deliver measurable value through 10% to 20% lower forecast error and up to 50% faster defect inspections.
05 · Category
Performance Metrics8 stats
01
US residential buildings are responsible for about 20% of total US greenhouse gas emissions (EPA)https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions
02
Smart window systems can reduce cooling energy consumption by up to 30% (peer-reviewed meta-analysis estimate)https://www.sciencedirect.com/science/article/pii/S0360544219306229
03
Dynamic shading strategies can reduce cooling loads by 10% to 50% in buildings (peer-reviewed review)https://www.sciencedirect.com/science/article/pii/S0360132318300638
04
On average, occupants prefer daylight illumination levels: 50% acceptability thresholds around 200-500 lux in office settings (peer-reviewed daylight comfort study range)https://www.sciencedirect.com/science/article/pii/S0360132313000002
05
Transparent photovoltaics can achieve reported power conversion efficiencies of around 5% to 15% depending on technology (reviewed range)https://www.sciencedirect.com/science/article/pii/S0927024820304992
06
Self-cleaning coatings can reduce maintenance cleaning requirements by up to 50% (peer-reviewed review)https://www.sciencedirect.com/science/article/pii/S0048969706005556
07
In a randomized field study, automated blinds improved indoor comfort while reducing energy consumption by 15% (field evaluation study)https://www.sciencedirect.com/science/article/pii/S0360132316305915
08
Global energy efficiency improvements from building automation systems can range from 10% to 30% (IEA report estimate)https://www.iea.org/reports/energy-efficiency-2018
Interpretation
Performance Metrics Interpretation
Performance metrics show that AI-enabled window solutions are delivering measurable gains such as cutting cooling energy use by up to 30% with smart systems and improving building automation efficiency by 10% to 30%, while automated blinds can also reduce energy consumption by 15% alongside better indoor comfort.
06 · Category
User Adoption12 stats
01
In 2023, 40% of new window installations included energy-efficiency features (survey estimate)https://www.jchs.harvard.edu/blog/energy-efficient-windows-and-doors/
02
In 2023, 22% of homeowners reported using a smart device for home automation (survey result)https://www.statista.com/statistics/1048614/home-automation-usage-by-device-us/
03
In 2023, 26% of organizations used generative AI in production (Gartner survey result)https://www.gartner.com/en/newsroom/press-releases/2023-09-18-gartner-survey-finds-nearly-half-of-organizations-are-using-generative-ai
04
By 2025, 80% of customer service and support organizations will use generative AI to assist agents (Gartner forecast)https://www.gartner.com/en/newsroom/press-releases/2023-02-01-gartner-says-80-percent-of-customer-service-and-support-organizations-will-use-generative-ai-by-2025
05
By 2026, AI-augmented developer tools will be used by 80% of developers (Gartner forecast)https://www.gartner.com/en/newsroom/press-releases/2024-04-18-gartner-identifies-the-main-trends-that-will-shape-the-future-of-ai-development
06
By 2024, 70% of organizations will use at least one cloud service (Gartner forecast)https://www.gartner.com/en/newsroom/press-releases/2020-10-12-gartner-forecast-public-cloud-spending-to-grow-which-organizations-are-adopting
07
The US market for smart thermostats grew to an estimated 37.0 million units installed by end of 2023 (forecast tracker estimate)https://www.statista.com/statistics/1304687/smart-thermostat-installed-base-forecast/
08
Global installed base of smart speakers reached 1.4 billion devices in 2023 (forecast/industry estimate)https://www.statista.com/statistics/812078/smart-speaker-users-worldwide/
09
In 2023, 19% of global organizations reported using IoT in smart home/consumer applications (survey stat)https://iot-analytics.com/press-releases/
10
In a 2023 consumer survey, 27% of respondents said they would consider buying smart windows/blinds (survey result)https://www.marketresearch.com/consumer/
11
In 2023, 33% of US homeowners used a programmable thermostat (EIA/Residential Energy Consumption Survey-based statistic)https://www.eia.gov/consumption/residential/
12
In 2023, smart thermostat ownership in US households was 22% (industry survey estimate)https://www.statista.com/statistics/1031630/smart-thermostat-ownership-forecast/
Interpretation
User Adoption Interpretation
User adoption signals are already strong, with 27% of consumers considering smart windows or blinds in 2023 and 22% of US households owning smart thermostats, while broader smart home engagement keeps rising as 40% of new window installations add energy efficiency features.
Reference
Cite This Report
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APA
Stefan Wendt. (2026, February 13). AI In The Window Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-window-industry-statistics
MLA
Stefan Wendt. "AI In The Window Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-window-industry-statistics.
Chicago
Stefan Wendt. 2026. "AI In The Window Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-window-industry-statistics.
Sources & references
42 datasets cited across this report
aws.amazon.com+20 additional datasets cited (not shown individually)