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AR in Furniture Market

AR in Furniture Market – Global Forecast to 2030

Report Code: UC-SE-6674 May, 2025, by marketsandmarkets.com

AR in Furniture Market

Augmented Reality (AR) in the furniture market is transforming the shopping experience by bridging the gap between imagination and reality. AR applications allow customers to visualize furniture pieces in their homes, offering a precise understanding of size, color, and compatibility with existing decor. By superimposing 3D models of furniture onto real-world environments through smartphones, tablets, or AR glasses, this technology reduces uncertainty, minimizes returns, and enhances overall customer satisfaction.

Growing Integration of AR into Furniture Shopping

The adoption of AR in the furniture market is expanding rapidly, supported by advancements in AR hardware and software. Leading furniture brands and retailers are investing heavily in AR technology to differentiate themselves in a competitive market. Several companies have developed AR apps that integrate seamlessly with existing platforms, offering features like room scanning, multi-angle product visualization, and virtual design consultations. The integration of AR into furniture shopping has become a standard offering, especially for premium brands. For instance, in May 2024, Furnified introduced an augmented reality (AR) feature for its furniture collection, enhancing the online shopping experience. With this innovative tool, customers can visualize how selected Furnified furniture pieces will appear in their own interiors. Using AR technology, the feature digitally places the furniture in a specific room, offering a realistic and interactive preview. This update simplifies online shopping by eliminating uncertainty, enabling customers to make confident and informed purchasing decisions.

Personalization Drives Market Growth

One of the major drivers of AR in the furniture market is the growing demand for personalized shopping experiences. AR solutions enable customers to customize furniture in terms of materials, finishes, and dimensions in real-time, creating a tailored product that aligns with their preferences. This personalization not only enhances customer loyalty but also provides valuable insights to manufacturers and retailers, aiding in better product design and inventory management.

Impact of AI

AI is playing a crucial role in enhancing AR capabilities in the furniture market. By analyzing user preferences, browsing patterns, and past purchases, AI algorithms deliver personalized furniture recommendations within AR environments. This combination of AI and AR also facilitates efficient space planning by suggesting optimal furniture arrangements based on room dimensions and functional requirements. As AI-driven AR tools become more sophisticated, they will offer an unparalleled level of customization and precision, boosting customer satisfaction and sales. For instance, in June 2022, Ingka Group, the largest IKEA retailer, unveiled IKEA Kreativ, an innovative AI-powered digital design experience. This cutting-edge platform provides customers with a seamless, lifelike way to design and visualize their living spaces directly from their computers or smartphones. IKEA Kreativ leverages decades of IKEA’s expertise in home living, integrating advanced spatial computing, machine learning, and 3D mixed reality technologies to deliver an intuitive and immersive design experience.

Challenges

Despite its transformative potential, the AR in furniture market faces several challenges. High development costs for AR applications and the need for advanced hardware can limit accessibility for smaller retailers and customers with older devices. Ensuring accurate 3D modeling and seamless integration across platforms requires significant technical expertise and investment. Additionally, user adoption may be hindered by a lack of familiarity with AR technology, while concerns over data privacy and security in AR-enabled apps further complicate widespread implementation. Addressing these challenges is crucial for sustained market growth.

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TABLE OF CONTENTS
 
1.Introduction
  1.1.Study Objectives 
  1.2.Market Definition and Scope
      1.2.1.Inclusions and Exclusions
  1.3.Study Scope
      1.3.1.Markets Covered
      1.3.2.Geographic Segmentation
      1.3.3.Years Considered for the study
  1.4.Currency
  1.5.Limitations
  1.6.Stakeholders
 
2.Research Methodology
  2.1.Research Data
      2.1.1.Secondary Data
            2.1.1.1.Major Secondary Sources
            2.1.1.2.Key Data from Secondary Sources
      2.1.2.Primary Data
            2.1.2.1.Primary Interviews with Experts
            2.1.2.2.Key Data from Primary Sources
            2.1.2.3.Key Industry Insights
            2.1.2.4.Breakdown of Primaries
  2.2.Market Size Estimation
      2.2.1.Bottom-Up Approach 
            2.2.1.1.Approach for Capturing Market Share by Bottom-Up Analysis (Demand Side)
      2.2.2. Top-Down Approach
            2.2.2.1.Approach for Capturing Market Share by Top-Down Analysis (Supply Side)
  2.3.Market Breakdown and Data Triangulation
  2.4.Research Assumptions
  2.5.Risk Assessment
  2.6.Limitations of Research
 
3.Executive Summary
 
4.Market Overview
  4.1.Introduction
  4.2.Market Dynamics
  4.3.Trends/Disruptions Impacting Customer’s Business
  4.4.Pricing Analysis
  4.5.Value Chain Analysis
  4.6.Ecosystem Analysis
  4.7.Investment and Funding Scenario
  4.8.Technology Analysis
  4.9.Patent Analysis
  4.10.Trade Analysis
  4.11.Key Conferences and Events (2024–2026)
  4.12.Case Study Analysis
  4.13.Regulatory Landscape
       4.13.1.Regulatory Bodies, Government Agencies, and Other Organizations
       4.13.2.Regulatory Framework
  4.14.Porters Five Force Analysis
       4.14.1.Threat from New Entrants
       4.14.2.Threat of Substitutes
       4.14.3.Bargaining Power of Suppliers
       4.14.4.Bargaining Power of Buyers
       4.14.5.Intensity of Competitive Rivalry
  4.15.Key Stakeholders and Buying Criteria
       4.15.1.Key Stakeholders in Buying Process
       4.15.2.Buying Criteria
  4.16.Impact of AI/Gen AI on AR in Furniture Market
 
5.AR in Furniture Market, By Offering
  5.1.Introduction
  5.2.Hardware
  5.3.Software
 
6.AR in Furniture Market, By Channel
  6.1.Introduction
  6.2.Online
  6.3.In-store
 
7.AR in Furniture Market, By Device Type
  7.1.Introduction
  7.2.HMD
  7.3.HUD
 
8.AR in Furniture Market, By End-use
  8.1.Introduction
  8.2.Consumer/Residential
  8.3.Retail
  8.4.Commercial
  8.5.Interior Designers
  8.6.Manufacturers
  8.7.Others
 
9.AR in Furniture Market, By Application
  9.1.Introduction
  9.2.Furniture Placement Visualization
  9.3.Furniture Customization
  9.4.Interior Designing & Planning
  9.5.Furniture Marketing
  9.6.Others
 
10.AR in Furniture Market, By Region 
   10.1.Introduction
   10.2.North America
        10.2.1.Macroeconomic Outlook
        10.2.2.US
        10.2.3.Canada
        10.2.4.Mexico
   10.3.Europe
        10.3.1.Macroeconomic Outlook
        10.3.2.Germany
        10.3.3.France
        10.3.4.UK
        10.3.5.Rest of Europe
   10.4.Asia Pacific
        10.4.1.Macroeconomic Outlook
        10.4.2.China
        10.4.3.Japan
        10.4.4.India
        10.4.5.South Korea
        10.4.6.Rest of Asia Pacific
   10.5.RoW
        10.5.1.Macroeconomic Outlook
        10.5.2.Middle East & Africa
               10.5.2.1.GCC Countries
               10.5.2.2.Rest of Middle East & Africa
        10.5.3.South America
 
11.AR in Furniture Market, Competitive Landscape
   11.1.Key Player Strategies/Right to Win
   11.2.Revenue Analysis
   11.3.Market Share Analysis
   11.4.Company Valuation and Financial Metrics
   11.5.Product/Brand Comparison
   11.6.Company Evaluation Matrix: Key Players, 2024
        11.6.1.Stars
        11.6.2.Emerging Leaders
        11.6.3.Pervasive Players
        11.6.4.Participants
        11.6.5.Company Footprint: Key Players, 2024
               11.6.5.1.Company Footprint
               11.6.5.2.Region Footprint
               11.6.5.3.End-use Footprint
               11.6.5.4.Offering Footprint
               11.6.5.5.Application Footprint
   11.7.Company Evaluation Matrix: Startups/SMEs, 2024
        11.7.1.Progressive Companies
        11.7.2.Responsive Companies
        11.7.3.Dynamic Companies
        11.7.4.Starting Blocks
        11.7.5.Competitive Benchmarking: Startups/SMEs, 2024
               11.7.5.1.Detailed List of Key Startups/SMEs
               11.7.5.2.Competitive Benchmarking of Key Startups/SMEs
   11.8.Competitive Situation and Trends
 
12.AR in Furniture Market, Company Profiles 
   12.1.Key Players
        12.1.1.IKEA Systems B.V. (IKEA Place)
        12.1.2.Houzz Inc.
        12.1.3.ZealAR
        12.1.4.Wayfair LLC
        12.1.5.Anthropologie
        12.1.6.Ashley Global Retail, LLC
        12.1.7.DecorMatters, Inc.
        12.1.8.Planner 5D
        12.1.9.roOomy llc
        12.1.10.Amikasa
   12.2.Other Players
 
Note: A list of 10-15 companies will be provided
The companies listed above are subject to change as the study progresses.
 
13.Appendix

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