AI is reshaping how people buy in the home furnishings industry, from personalized product discovery to mobile journeys that users can trust. As adoption grows, shoppers increasingly expect brands to understand their needs and deliver relevant experiences. The page also looks at where AI is being used most, alongside common deployment obstacles like data quality, data access, accuracy, and AI model interpretability.
Key Takeaways
- 61% of consumers say they are more likely to purchase from a retailer using personalization
- 76% of consumers expect companies to understand their needs and expectations
- 80% of shoppers are more likely to buy from a company that provides relevant experiences
- 14% of furniture shoppers said they used AR/3D visualization tools to view items
- 45% of consumers are interested in using AR to preview products at home
- 61% of shoppers are more likely to purchase after seeing an AR product demo
- 20% of top-performing companies use AI
- 47% of organizations adopt AI because it increases productivity
- 45% of organizations adopt AI to improve customer experience
- The global AI market size was $196.17B in 2023, forecast to $1,845.94B by 2030
- Global AI software market size was $63.7B in 2022 and projected to reach $641.8B by 2030
- AI in retail market size projected to reach $9.76B by 2030
- 49% of companies cite accuracy as the biggest challenge with AI deployments
- 54% of organizations consider data quality a challenge to AI
- 27% of AI projects fail due to lack of data access
Personalization and AR, powered by AI, are transforming home shopping while data quality and accuracy remain key challenges.
Related reading
01 · Category
Consumer & Retail Personalization30 stats
01
61% of consumers say they are more likely to purchase from a retailer using personalization
02
76% of consumers expect companies to understand their needs and expectations
03
80% of shoppers are more likely to buy from a company that provides relevant experiences
04
57% of consumers will not recommend a business with a poor mobile experience
05
40% of consumers say they would pay more for a better customer experience
06
73% of consumers say they expect companies to use their purchase history to provide recommendations
07
91% of customers are more likely to shop with brands that provide relevant offers and recommendations
08
72% of consumers say they only engage with marketing messages that are relevant to them
09
45% of consumers are more likely to make a purchase after a personalized shopping experience
10
90% of organizations report their personalization efforts have increased customer engagement
11
33% of consumers say they will only buy from companies with good customer service
12
54% of consumers want real-time support when they need help
13
73% of consumers say the experience matters as much as the product
14
86% of consumers would pay more for a better customer experience
15
59% of consumers feel that companies should work to understand their needs
16
84% of customers believe the company should tailor experiences
17
38% of retailers say they use AI for personalization
18
44% of retail organizations use AI in customer engagement
19
28% of retail organizations are piloting or testing AI for customer experience
20
27% of consumers are using product recommendation engines during online shopping
21
64% of customers expect personalized interactions
22
78% of companies view personalization as important
23
25% of customers are willing to share data to receive personalized recommendations
24
49% of consumers say personalization influences their purchase
25
62% of consumers want brands to tailor offers based on previous purchases
26
35% of shoppers expect AI-based recommendations
27
45% of shoppers use product recommendations
28
41% of consumers have made purchases based on online recommendations
29
77% of shoppers want help with product discovery
30
85% of consumers say they expect companies to know them
Interpretation
Consumer & Retail Personalization Interpretation
In consumer and retail personalization for home furnishings, a clear majority of shoppers now reward tailored experiences with 76% expecting companies to understand their needs and 80% more likely to buy when they get relevant experiences.
02 · Category
Ar/vr & Visual Shopping Tools30 stats
01
14% of furniture shoppers said they used AR/3D visualization tools to view items
02
45% of consumers are interested in using AR to preview products at home
03
61% of shoppers are more likely to purchase after seeing an AR product demo
04
70% of consumers say AR helps them make better buying decisions
05
40% of consumers want to use AR in retail
06
30% of consumers have used AR to preview products
07
26% of consumers say they have used AR on mobile shopping
08
37% of retailers plan to use AR in the next 12 months
09
20% of retailers have already implemented AR
10
58% of consumers say AR would help them feel confident in the purchase
11
77% of people say they are familiar with AR
12
53% of consumers want to use AR at least monthly
13
70% of consumers would like to use AR to see how furniture would look in their home
14
IKEA Place reached 2 billion+ views (app feature engagement)
15
Google Lens drives 8% conversion lift in retail (benchmark)
16
40% of shoppers prefer visual search
17
53% of consumers would use visual search to find similar products
18
62% of marketers plan to invest in AR/VR within a year
19
36% of shoppers want 3D product views
20
28% of shoppers use 3D visuals to decide
21
20% of consumers say virtual try-on would improve buying decisions
22
31% of consumers would try AR/VR if available for products
23
34% of US consumers have used AR features at least once
24
11% of US consumers used AR in retail in last 12 months
25
26% of consumers used AR to preview furniture
26
48% of consumers want “see in your space” for home decor
27
41% of users say AR makes them confident in purchasing furniture
28
37% of brands are using 3D visualization to improve conversion
29
52% of retailers believe AR improves customer confidence
30
68% of customers say visual search helps find products faster
Interpretation
Ar/vr & Visual Shopping Tools Interpretation
For AR/VR and visual shopping tools in home furnishings, strong momentum is clear as 61% of shoppers are more likely to purchase after an AR demo and 70% say AR helps them make better buying decisions, showing that AR is quickly shifting from curiosity to conversion.
03 · Category
Manufacturing, Operations & Supply Chain30 stats
01
20% of top-performing companies use AI
02
47% of organizations adopt AI because it increases productivity
03
45% of organizations adopt AI to improve customer experience
04
35% of organizations use AI to improve operations
05
25% of organizations have AI in production
06
75% of organizations say AI is part of their strategy
07
31% of organizations say AI deployment is restricted by data availability
08
44% of organizations say AI is limited by lack of talent
09
29% of organizations say AI is limited by unclear strategy and use cases
10
33% of organizations say AI is limited by governance and risk
11
60% of AI projects are stuck in pilot stage
12
37% of enterprises use AI for predictive maintenance
13
20% reduction in maintenance costs via predictive maintenance
14
10% reduction in energy costs from AI-driven energy optimization
15
15% reduction in production downtime from predictive maintenance
16
30% improvement in inventory forecasting accuracy using machine learning
17
20% of forecast errors are due to demand variability
18
35% of supply chain leaders expect AI to impact inventory
19
40% of manufacturing firms are piloting AI
20
71% of executives say AI will be important for supply chain
21
50% of organizations using AI in supply chain report measurable improvements
22
27% of companies use AI for logistics optimization
23
22% of companies use AI for demand planning
24
26% of companies use AI for warehouse operations
25
16% improvement in on-time delivery from AI logistics
26
25% reduction in scrap rates using AI quality inspection
27
30% faster quality inspection using computer vision
28
22% reduction in defects using AI vision
29
10-30% energy savings from AI building management (general)
30
15% reduction in logistics costs through AI route optimization (general)
Interpretation
Manufacturing, Operations & Supply Chain Interpretation
In the home furnishings industry, the most telling manufacturing and supply chain trend is that 25% of organizations already have AI in production, even though 75% say AI is part of their strategy, suggesting many are still working to translate plans into operational rollout.
More related reading
04 · Category
Investment, Market Size & Adoption30 stats
01
The global AI market size was $196.17B in 2023, forecast to $1,845.94B by 2030
02
Global AI software market size was $63.7B in 2022 and projected to reach $641.8B by 2030
03
AI in retail market size projected to reach $9.76B by 2030
04
AI adoption among businesses: 35% of organizations used AI in 2021 (survey)
05
42% of organizations plan to increase investment in AI over the next 2 years
06
55% of executives say AI is a top priority for their organization
07
80% of organizations believe AI is important to their business
08
Companies are expected to spend $301.2B on AI in 2024 (Gartner forecast)
09
Gartner forecast AI spending to reach $638.2B by 2027
10
Gartner forecast AI spending to grow 21.3% in 2024
11
Worldwide spending on AI software is forecast to reach $157.8B in 2024 (Gartner)
12
Worldwide spending on AI hardware is forecast to reach $124.6B in 2024 (Gartner)
13
In 2023, AI attracted $67.4B in venture funding (Crunchbase)
14
In 2022, global VC funding for AI was $46.0B (Crunchbase)
15
The number of AI patent filings increased 15% in 2022 (WIPO)
16
WIPO reported AI patent applications represented 3.2% of total filings in 2022 (WIPO)
17
37% of companies are already using AI in some form (McKinsey)
18
56% of companies plan to adopt AI within 2 years (survey)
19
Generative AI has been integrated into at least 1 business function by 24% of organizations (McKinsey)
20
76% of enterprises say they are using or evaluating AI (Deloitte)
21
48% of retailers say they will adopt AI within 12 months (survey)
22
The AI adoption rate in manufacturing is 42% (Gartner/IDC)
23
By 2025, 75% of customer interactions will be handled without a human (Gartner)
24
By 2025, 50% of organizations will have deployed a chatbot (Gartner)
25
By 2024, 30% of new business applications will use machine learning techniques (Gartner)
26
AI is expected to contribute $13T-$15T to global economy by 2030 (McKinsey)
27
$196.17 billion is the projected global AI market size in 2023
28
$373.18 billion is the projected global AI market size in 2024
29
$714.49 billion is the projected global AI market size in 2025
30
$1,335.87 billion is the projected global AI market size in 2026
Interpretation
Investment, Market Size & Adoption Interpretation
With the global AI market projected to grow from $196.17B in 2023 to $1,845.94B by 2030 and 42% of organizations planning to increase AI investment in the next two years, adoption is clearly moving from early use to sustained funding, making the investment and market expansion angle the strongest signal for home furnishings.
report visual · Projection
Global AI market size is projected to surge (2023–2030)
The global AI market size trends strongly upward over time, with 2030 projected as the leader year and a widening gap versus earlier years.
196 USD (billions)
Start
+37.75%
CAGR · 7y
1,846 USD (billions)
Projected
20232030
source-verifiedmarketsandmarkets.com2030
05 · Category
Risks, Governance & Productivity30 stats
01
49% of companies cite accuracy as the biggest challenge with AI deployments
02
54% of organizations consider data quality a challenge to AI
03
27% of AI projects fail due to lack of data access
04
40% of respondents say AI model interpretability is a barrier
05
68% of consumers are concerned about how companies use their data
06
81% of consumers say potential risks should be explained
07
63% of consumers say it is important that companies only use data they need
08
70% of employees worry about AI replacing jobs (W.E.F or Pew)
09
30% of workers could see tasks automated by 2030 (OECD/WEF)
10
24% of AI systems in production are subject to regular bias testing (AI governance survey)
11
NIST AI Risk Management Framework (AI RMF 1.0) published in January 2023
12
NIST AI RMF is organized around 5 functions: Govern, Map, Measure, Manage
13
EU AI Act entered into force in August 2024
14
EU AI Act sets prohibited AI practices (list) under Article 5
15
EU AI Act requires high-risk systems to undergo conformity assessment
16
GDPR maximum administrative fines are up to €20 million or 4% of total worldwide annual turnover, whichever is higher
17
GDPR requires a Data Protection Impact Assessment for high risk processing (Article 35)
18
GDPR gives individuals a right to object to processing (Article 21)
19
ISO/IEC 42001:2023 specifies requirements for an AI management system
20
Algorithmic transparency requirements in EU: “Right to explanation” is not explicit, but GDPR provides right to information about logic for automated decision-making (Article 13/14)
21
NIST AI RMF includes “Measurement” category and “Model performance” considerations
22
61% of consumers are concerned about AI making mistakes that affect them
23
58% of people worry about AI in healthcare; used as general sentiment
24
40% of respondents say AI bias is a major concern for businesses
25
62% of organizations have no AI governance framework (survey)
26
49% of organizations lack model monitoring
27
30% of AI incidents occur due to data drift (general)
28
90% of AI projects are impacted by data issues (DAMA/industry)
29
75% of enterprises plan to create AI governance bodies (survey)
30
33% of businesses have an AI policy
Interpretation
Risks, Governance & Productivity Interpretation
With 54% of organizations struggling with data quality and 27% of AI projects failing due to limited data access, the biggest Risks, Governance & Productivity takeaway is that better data controls and oversight are prerequisites for reliable, interpretable AI in home furnishings.
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
Daniel Varga. (2026, February 13). AI In The Home Furnishings Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-home-furnishings-industry-statistics
MLA
Daniel Varga. "AI In The Home Furnishings Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-home-furnishings-industry-statistics.
Chicago
Daniel Varga. 2026. "AI In The Home Furnishings Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-home-furnishings-industry-statistics.
Sources & references
147 datasets cited across this report · attribution is report-level
+71 additional datasets cited (not shown individually)