AI is reshaping home remodeling across the full workflow—planning, design, estimating, and on-site supervision. It connects larger smart home adoption (devices, platforms, and connected upgrades) with measurable contractor outcomes like fewer change orders, fewer schedule delays, and less material waste. As companies increasingly adopt AI and generative AI, and homeowners use digital and voice/automation tools, remodeling teams can also improve customer experience and apply computer-vision measurement where it matters.
Key Takeaways
- $1.6 billion 2023 global spend on smart home security and related services, a segment that overlaps with AI-enabled home systems used in remodeling projects
- $10.5 billion global smart home market size in 2023 (covers devices and platforms that are increasingly AI-enabled), relevant to AI-driven remodeling integrations
- $152.9 billion smart home market size projected for 2030 (AI-enabled devices and platforms), impacting remodeling demand for connected upgrades
- 31% of U.S. companies reported using AI technologies in at least one business function in 2023 (broad business adoption signal relevant to remodeling operators deploying AI)
- 33% of U.S. organizations have adopted or are exploring generative AI for at least one business use case in 2024 (often includes customer support and planning tools)
- 26% of U.S. consumers used mobile apps or online tools to research home improvement projects in 2023 (AI personalization increases conversion)
- Up to 30% reduction in construction change orders when using digital project management systems with analytics (AI-enhanced forecasting)
- 19% fewer project schedule delays reported by firms using AI-driven predictive analytics for planning in 2023
- 18% reduction in material waste through AI-assisted takeoff and estimating (reducing over-ordering during remodeling)
- 38% of remodeling organizations cited improved customer experience as a key benefit from AI initiatives in 2023 survey results
- 46% of enterprises plan to increase investment in AI over the next 12 months in 2024 (investment signal for remodeling tech)
- AI-based visual inspection and computer vision is among the top 5 AI use cases for construction firms reported in 2023
Smart, AI enabled connected upgrades are booming, boosting remodeling efficiency, accuracy, and customer experience.
Related reading
01 · Category
Market Size9 stats
01
$1.6 billion 2023 global spend on smart home security and related services, a segment that overlaps with AI-enabled home systems used in remodeling projects
02
$10.5 billion global smart home market size in 2023 (covers devices and platforms that are increasingly AI-enabled), relevant to AI-driven remodeling integrations
03
$152.9 billion smart home market size projected for 2030 (AI-enabled devices and platforms), impacting remodeling demand for connected upgrades
04
$359.1 billion U.S. home improvement spending in 2023 (NielsenIQ data cited by trade press), informing the TAM for AI-enabled remodeling software and services
05
$2.2 billion U.S. construction software market in 2023 (includes planning/procurement/workforce tools that use AI for forecasting and automation)
06
$1.0 billion U.S. market for home design software in 2023 (software increasingly incorporates AI-driven visualization and estimating features)
07
24% year-over-year growth in the U.S. construction technology market in 2023 (AI is a core driver in construction software adoption)
08
$3.1 billion global market for construction AI software in 2023 (AI analytics/automation for planning and project delivery)
09
$1.3 billion global market for AI-enabled customer service/chatbots for 2023 (relevant to remodeling customer acquisition and appointment scheduling)
Interpretation
Market Size Interpretation
With the smart home market reaching $10.5 billion in 2023 and projected to grow to $152.9 billion by 2030, the market size clearly signals fast-rising demand for AI enabled home systems that are likely to pull more remodeling spend into connected upgrades.
02 · Category
User Adoption7 stats
01
31% of U.S. companies reported using AI technologies in at least one business function in 2023 (broad business adoption signal relevant to remodeling operators deploying AI)
02
33% of U.S. organizations have adopted or are exploring generative AI for at least one business use case in 2024 (often includes customer support and planning tools)
03
26% of U.S. consumers used mobile apps or online tools to research home improvement projects in 2023 (AI personalization increases conversion)
04
65% of U.S. homeowners who use smart home devices use voice assistants or automation apps at least monthly (AI-enabled control is a prerequisite for many remodel integrations)
05
54% of remodeling professionals reported using digital tools for customer communication in 2023 (AI-assisted chat/scheduling commonly extends this)
06
58% of construction/project management decision-makers said they use project management software with some automation capabilities in 2023
07
29% of contractors reported using drones/scanning tools for site assessment in 2022 (often combined with AI for measurement)
Interpretation
User Adoption Interpretation
User adoption is gaining momentum in the home remodeling space, with 33% of U.S. organizations already adopting or exploring generative AI in 2024 and another 26% of consumers using mobile or online tools to research projects in 2023, while smart home and digital communication habits suggest AI features are increasingly ready to be used in everyday decisions.
More related reading
03 · Category
Performance Metrics6 stats
01
Up to 30% reduction in construction change orders when using digital project management systems with analytics (AI-enhanced forecasting)
02
19% fewer project schedule delays reported by firms using AI-driven predictive analytics for planning in 2023
03
18% reduction in material waste through AI-assisted takeoff and estimating (reducing over-ordering during remodeling)
04
Accuracy of AI-based image-based measurement systems reported at 92% mean accuracy in a 2021 peer-reviewed evaluation (useful for remodel site capture)
05
14% reduction in rework rates where AI/analytics are used for quality inspection (transferable to remodeling workmanship QA)
06
Up to 25% reduction in cost overruns reported in projects using advanced scheduling with AI-driven risk detection
Interpretation
Performance Metrics Interpretation
Performance metrics across home remodeling show that AI can measurably improve execution, with reported reductions of up to 30% in change orders and up to 25% in cost overruns, alongside 19% fewer schedule delays and 18% less material waste through predictive analytics and AI-assisted estimation.
04 · Category
Industry Trends3 stats
01
38% of remodeling organizations cited improved customer experience as a key benefit from AI initiatives in 2023 survey results
02
46% of enterprises plan to increase investment in AI over the next 12 months in 2024 (investment signal for remodeling tech)
03
AI-based visual inspection and computer vision is among the top 5 AI use cases for construction firms reported in 2023
Interpretation
Industry Trends Interpretation
In the home remodeling industry, AI is quickly becoming a mainstream investment priority as 46% of enterprises plan to increase AI spending in the next 12 months and 38% of remodeling organizations already report improved customer experience as a key benefit in 2023.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Nathan Caldwell. (2026, February 13). AI In The Home Remodeling Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-home-remodeling-industry-statistics
MLA
Nathan Caldwell. "AI In The Home Remodeling Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-home-remodeling-industry-statistics.
Chicago
Nathan Caldwell. 2026. "AI In The Home Remodeling Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-home-remodeling-industry-statistics.
Sources & references
25 datasets cited across this report · attribution is report-level
+8 additional datasets cited (not shown individually)