
AR Virtual Try-On Is Set To Reach XXX million By 2033, Growing At A CAGR Of XX
AR Virtual Try-On by Type (On-premises, Cloud Based), by Application (Fashion and Apparel, Beauty and Cosmetics, Eyewear and Accessories, Furniture and Home Décor, Footwear, Others), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2025-2033
Key Insights
Market Overview:
The AR Virtual Try-On market size is estimated to reach USD 24.5 billion by 2033, exhibiting a CAGR of 37.7% from 2025 to 2033. The rising adoption of AR technology in various industries, particularly in retail and e-commerce, is driving the market growth. Additionally, advancements in computer vision and artificial intelligence (AI) technologies are enabling more realistic and immersive virtual try-on experiences. The growing popularity of online shopping and the need for convenient and personalized shopping experiences are further fueling the market expansion.
Key Trends and Drivers:
The market is segmented by type (on-premises and cloud-based), application (fashion and apparel, beauty and cosmetics, eyewear and accessories, furniture and home décor, footwear, and others), and region. The cloud-based segment is projected to hold the largest market share due to its flexibility, scalability, and lower upfront costs. The fashion and apparel segment is expected to dominate the market, driven by the increasing use of virtual try-on solutions to enhance the online shopping experience and reduce returns. Regions such as North America and Europe are expected to lead the market due to the early adoption of AR technology and the presence of major players. Asia-Pacific is expected to emerge as the fastest-growing region, driven by the increasing internet penetration and the growing middle class.

AR Virtual Try-On Trends
The AR Virtual Try-On market is poised for exponential growth, driven by the widespread adoption of smartphones and advancements in augmented reality (AR) technology. By 2025, the global market is projected to exceed $10 billion, expanding at a staggering 30% CAGR. This surge in demand is attributed to the immersive and engaging try-on experience offered by AR, which enables consumers to virtually experience products before purchasing.
Key market insights include:
- Rising consumer demand for personalized and interactive shopping experiences
- Advancements in AR technology and the increasing availability of powerful smartphone devices
- Growing adoption of AR Virtual Try-On in various industries, particularly fashion and beauty
- Strategic partnerships between technology providers and retailers to enhance customer engagement
Driving Forces: What's Propelling the AR Virtual Try-On
The AR Virtual Try-On market is fueled by several key drivers, including:
- Convenience and personalization: AR Virtual Try-On eliminates the need for physical try-ons, offering convenience and personalized experiences from the comfort of home.
- Improved customer engagement: AR Virtual Try-On enhances customer engagement by providing immersive and interactive try-on experiences that help them make informed purchasing decisions.
- Reduced return rates: By enabling customers to try products virtually, AR Virtual Try-On reduces the likelihood of returns due to size or fit discrepancies.
- Increased sales and customer satisfaction: Positive try-on experiences and reduced return rates lead to increased sales and enhanced customer satisfaction.

Challenges and Restraints in AR Virtual Try-On
Despite its promising growth prospects, the AR Virtual Try-On market also faces certain challenges and restraints:
- Accuracy and realism: Achieving accurate and realistic try-on experiences can be challenging, especially for products that require precise fitting, such as eyewear or footwear.
- Technical requirements: AR Virtual Try-On applications require high-quality smartphone cameras and sufficient processing power, which may limit accessibility for some users.
- Data security and privacy: The collection and processing of user data for AR Virtual Try-On raise concerns about data security and privacy.
- Limited product availability: The availability of AR Virtual Try-On experiences for a wide range of products is still limited, particularly for niche or specialized items.
Key Region or Country & Segment to Dominate the Market
Key regions and segments dominating the AR Virtual Try-On market include:
- Regions:
- North America
- Europe
- Asia-Pacific
- Segments:
- Application: Fashion and Apparel, Beauty and Cosmetics
- Type: Cloud-Based
Within the Fashion and Apparel segment, key trends include:
- Virtual try-ons for clothing, shoes, and accessories
- Personalized recommendations based on body shape and style preferences
- Integration with e-commerce platforms for seamless shopping experiences
Growth Catalysts in AR Virtual Try-On Industry
The AR Virtual Try-On industry is poised for continued growth, fueled by several emerging catalysts:
- Advancements in AR technology: Innovations in AR hardware and software will enhance the accuracy and realism of try-on experiences.
- Increased smartphone penetration: The rising global smartphone user base will provide a wider reach for AR Virtual Try-On applications.
- Strategic partnerships: Collaborations between technology providers and retailers will drive the adoption of AR Virtual Try-On solutions.
- Growing consumer awareness: Increased awareness and positive feedback from early adopters will further boost market demand.
Leading Players in the AR Virtual Try-On
Key players in the AR Virtual Try-On market include:
- Banuba
- Deep AR
- Grid Dynamics
- mirrAR
- Zakeke
- Wanna
- Mobidev
- Vossle
- Artlabs
- Wearfits
- Queppelin
- TRYO
- Designhubz
- Reactive Reality
- Netguru
Significant Developments in AR Virtual Try-On Sector
Noteworthy developments in the AR Virtual Try-On sector include:
- Partnerships between retailers and AR technology providers to enhance customer engagement
- Launch of specialized AR Virtual Try-On applications for specific product categories, such as eyewear or jewelry
- Integration of AR Virtual Try-On into e-commerce platforms to provide immersive shopping experiences
- Focus on developing AR Virtual Try-On solutions that are both accurate and user-friendly
Comprehensive Coverage AR Virtual Try-On Report
This report provides comprehensive coverage of the AR Virtual Try-On market, including:
- Market size and growth projections
- Key market trends and drivers
- Challenges and restraints
- Competitive landscape
- Growth catalysts and future outlook
- Company profiles of leading players
The report is an invaluable resource for businesses, investors, and industry professionals seeking to capitalize on the growth opportunities in the AR Virtual Try-On market.
AR Virtual Try-On Segmentation
-
1. Type
- 1.1. On-premises
- 1.2. Cloud Based
-
2. Application
- 2.1. Fashion and Apparel
- 2.2. Beauty and Cosmetics
- 2.3. Eyewear and Accessories
- 2.4. Furniture and Home Décor
- 2.5. Footwear
- 2.6. Others
AR Virtual Try-On Segmentation By Geography
-
1. North America
- 1.1. United States
- 1.2. Canada
- 1.3. Mexico
-
2. South America
- 2.1. Brazil
- 2.2. Argentina
- 2.3. Rest of South America
-
3. Europe
- 3.1. United Kingdom
- 3.2. Germany
- 3.3. France
- 3.4. Italy
- 3.5. Spain
- 3.6. Russia
- 3.7. Benelux
- 3.8. Nordics
- 3.9. Rest of Europe
-
4. Middle East & Africa
- 4.1. Turkey
- 4.2. Israel
- 4.3. GCC
- 4.4. North Africa
- 4.5. South Africa
- 4.6. Rest of Middle East & Africa
-
5. Asia Pacific
- 5.1. China
- 5.2. India
- 5.3. Japan
- 5.4. South Korea
- 5.5. ASEAN
- 5.6. Oceania
- 5.7. Rest of Asia Pacific

AR Virtual Try-On REPORT HIGHLIGHTS
Aspects | Details |
---|---|
Study Period | 2019-2033 |
Base Year | 2024 |
Estimated Year | 2025 |
Forecast Period | 2025-2033 |
Historical Period | 2019-2024 |
Growth Rate | CAGR of XX% from 2019-2033 |
Segmentation |
|
Frequently Asked Questions
- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 2.1. Introduction
- 3. Market Dynamics
- 3.1. Introduction
- 3.2. Market Drivers
- 3.3. Market Restrains
- 3.4. Market Trends
- 4. Market Factor Analysis
- 4.1. Porters Five Forces
- 4.2. Supply/Value Chain
- 4.3. PESTEL analysis
- 4.4. Market Entropy
- 4.5. Patent/Trademark Analysis
- 5. Global AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 5.1. Market Analysis, Insights and Forecast - by Type
- 5.1.1. On-premises
- 5.1.2. Cloud Based
- 5.2. Market Analysis, Insights and Forecast - by Application
- 5.2.1. Fashion and Apparel
- 5.2.2. Beauty and Cosmetics
- 5.2.3. Eyewear and Accessories
- 5.2.4. Furniture and Home Décor
- 5.2.5. Footwear
- 5.2.6. Others
- 5.3. Market Analysis, Insights and Forecast - by Region
- 5.3.1. North America
- 5.3.2. South America
- 5.3.3. Europe
- 5.3.4. Middle East & Africa
- 5.3.5. Asia Pacific
- 5.1. Market Analysis, Insights and Forecast - by Type
- 6. North America AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 6.1. Market Analysis, Insights and Forecast - by Type
- 6.1.1. On-premises
- 6.1.2. Cloud Based
- 6.2. Market Analysis, Insights and Forecast - by Application
- 6.2.1. Fashion and Apparel
- 6.2.2. Beauty and Cosmetics
- 6.2.3. Eyewear and Accessories
- 6.2.4. Furniture and Home Décor
- 6.2.5. Footwear
- 6.2.6. Others
- 6.1. Market Analysis, Insights and Forecast - by Type
- 7. South America AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 7.1. Market Analysis, Insights and Forecast - by Type
- 7.1.1. On-premises
- 7.1.2. Cloud Based
- 7.2. Market Analysis, Insights and Forecast - by Application
- 7.2.1. Fashion and Apparel
- 7.2.2. Beauty and Cosmetics
- 7.2.3. Eyewear and Accessories
- 7.2.4. Furniture and Home Décor
- 7.2.5. Footwear
- 7.2.6. Others
- 7.1. Market Analysis, Insights and Forecast - by Type
- 8. Europe AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 8.1. Market Analysis, Insights and Forecast - by Type
- 8.1.1. On-premises
- 8.1.2. Cloud Based
- 8.2. Market Analysis, Insights and Forecast - by Application
- 8.2.1. Fashion and Apparel
- 8.2.2. Beauty and Cosmetics
- 8.2.3. Eyewear and Accessories
- 8.2.4. Furniture and Home Décor
- 8.2.5. Footwear
- 8.2.6. Others
- 8.1. Market Analysis, Insights and Forecast - by Type
- 9. Middle East & Africa AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 9.1. Market Analysis, Insights and Forecast - by Type
- 9.1.1. On-premises
- 9.1.2. Cloud Based
- 9.2. Market Analysis, Insights and Forecast - by Application
- 9.2.1. Fashion and Apparel
- 9.2.2. Beauty and Cosmetics
- 9.2.3. Eyewear and Accessories
- 9.2.4. Furniture and Home Décor
- 9.2.5. Footwear
- 9.2.6. Others
- 9.1. Market Analysis, Insights and Forecast - by Type
- 10. Asia Pacific AR Virtual Try-On Analysis, Insights and Forecast, 2019-2031
- 10.1. Market Analysis, Insights and Forecast - by Type
- 10.1.1. On-premises
- 10.1.2. Cloud Based
- 10.2. Market Analysis, Insights and Forecast - by Application
- 10.2.1. Fashion and Apparel
- 10.2.2. Beauty and Cosmetics
- 10.2.3. Eyewear and Accessories
- 10.2.4. Furniture and Home Décor
- 10.2.5. Footwear
- 10.2.6. Others
- 10.1. Market Analysis, Insights and Forecast - by Type
- 11. Competitive Analysis
- 11.1. Global Market Share Analysis 2024
- 11.2. Company Profiles
- 11.2.1 Banuba
- 11.2.1.1. Overview
- 11.2.1.2. Products
- 11.2.1.3. SWOT Analysis
- 11.2.1.4. Recent Developments
- 11.2.1.5. Financials (Based on Availability)
- 11.2.2 Deep AR
- 11.2.2.1. Overview
- 11.2.2.2. Products
- 11.2.2.3. SWOT Analysis
- 11.2.2.4. Recent Developments
- 11.2.2.5. Financials (Based on Availability)
- 11.2.3 Grid Dynamics
- 11.2.3.1. Overview
- 11.2.3.2. Products
- 11.2.3.3. SWOT Analysis
- 11.2.3.4. Recent Developments
- 11.2.3.5. Financials (Based on Availability)
- 11.2.4 mirrAR
- 11.2.4.1. Overview
- 11.2.4.2. Products
- 11.2.4.3. SWOT Analysis
- 11.2.4.4. Recent Developments
- 11.2.4.5. Financials (Based on Availability)
- 11.2.5 Zakeke
- 11.2.5.1. Overview
- 11.2.5.2. Products
- 11.2.5.3. SWOT Analysis
- 11.2.5.4. Recent Developments
- 11.2.5.5. Financials (Based on Availability)
- 11.2.6 Wanna
- 11.2.6.1. Overview
- 11.2.6.2. Products
- 11.2.6.3. SWOT Analysis
- 11.2.6.4. Recent Developments
- 11.2.6.5. Financials (Based on Availability)
- 11.2.7 Mobidev
- 11.2.7.1. Overview
- 11.2.7.2. Products
- 11.2.7.3. SWOT Analysis
- 11.2.7.4. Recent Developments
- 11.2.7.5. Financials (Based on Availability)
- 11.2.8 Vossle
- 11.2.8.1. Overview
- 11.2.8.2. Products
- 11.2.8.3. SWOT Analysis
- 11.2.8.4. Recent Developments
- 11.2.8.5. Financials (Based on Availability)
- 11.2.9 Artlabs
- 11.2.9.1. Overview
- 11.2.9.2. Products
- 11.2.9.3. SWOT Analysis
- 11.2.9.4. Recent Developments
- 11.2.9.5. Financials (Based on Availability)
- 11.2.10 Wearfits
- 11.2.10.1. Overview
- 11.2.10.2. Products
- 11.2.10.3. SWOT Analysis
- 11.2.10.4. Recent Developments
- 11.2.10.5. Financials (Based on Availability)
- 11.2.11 Queppelin
- 11.2.11.1. Overview
- 11.2.11.2. Products
- 11.2.11.3. SWOT Analysis
- 11.2.11.4. Recent Developments
- 11.2.11.5. Financials (Based on Availability)
- 11.2.12 TRYO
- 11.2.12.1. Overview
- 11.2.12.2. Products
- 11.2.12.3. SWOT Analysis
- 11.2.12.4. Recent Developments
- 11.2.12.5. Financials (Based on Availability)
- 11.2.13 Designhubz
- 11.2.13.1. Overview
- 11.2.13.2. Products
- 11.2.13.3. SWOT Analysis
- 11.2.13.4. Recent Developments
- 11.2.13.5. Financials (Based on Availability)
- 11.2.14 Reactive Reality
- 11.2.14.1. Overview
- 11.2.14.2. Products
- 11.2.14.3. SWOT Analysis
- 11.2.14.4. Recent Developments
- 11.2.14.5. Financials (Based on Availability)
- 11.2.15 Netguru
- 11.2.15.1. Overview
- 11.2.15.2. Products
- 11.2.15.3. SWOT Analysis
- 11.2.15.4. Recent Developments
- 11.2.15.5. Financials (Based on Availability)
- 11.2.1 Banuba
- Figure 1: Global AR Virtual Try-On Revenue Breakdown (million, %) by Region 2024 & 2032
- Figure 2: North America AR Virtual Try-On Revenue (million), by Type 2024 & 2032
- Figure 3: North America AR Virtual Try-On Revenue Share (%), by Type 2024 & 2032
- Figure 4: North America AR Virtual Try-On Revenue (million), by Application 2024 & 2032
- Figure 5: North America AR Virtual Try-On Revenue Share (%), by Application 2024 & 2032
- Figure 6: North America AR Virtual Try-On Revenue (million), by Country 2024 & 2032
- Figure 7: North America AR Virtual Try-On Revenue Share (%), by Country 2024 & 2032
- Figure 8: South America AR Virtual Try-On Revenue (million), by Type 2024 & 2032
- Figure 9: South America AR Virtual Try-On Revenue Share (%), by Type 2024 & 2032
- Figure 10: South America AR Virtual Try-On Revenue (million), by Application 2024 & 2032
- Figure 11: South America AR Virtual Try-On Revenue Share (%), by Application 2024 & 2032
- Figure 12: South America AR Virtual Try-On Revenue (million), by Country 2024 & 2032
- Figure 13: South America AR Virtual Try-On Revenue Share (%), by Country 2024 & 2032
- Figure 14: Europe AR Virtual Try-On Revenue (million), by Type 2024 & 2032
- Figure 15: Europe AR Virtual Try-On Revenue Share (%), by Type 2024 & 2032
- Figure 16: Europe AR Virtual Try-On Revenue (million), by Application 2024 & 2032
- Figure 17: Europe AR Virtual Try-On Revenue Share (%), by Application 2024 & 2032
- Figure 18: Europe AR Virtual Try-On Revenue (million), by Country 2024 & 2032
- Figure 19: Europe AR Virtual Try-On Revenue Share (%), by Country 2024 & 2032
- Figure 20: Middle East & Africa AR Virtual Try-On Revenue (million), by Type 2024 & 2032
- Figure 21: Middle East & Africa AR Virtual Try-On Revenue Share (%), by Type 2024 & 2032
- Figure 22: Middle East & Africa AR Virtual Try-On Revenue (million), by Application 2024 & 2032
- Figure 23: Middle East & Africa AR Virtual Try-On Revenue Share (%), by Application 2024 & 2032
- Figure 24: Middle East & Africa AR Virtual Try-On Revenue (million), by Country 2024 & 2032
- Figure 25: Middle East & Africa AR Virtual Try-On Revenue Share (%), by Country 2024 & 2032
- Figure 26: Asia Pacific AR Virtual Try-On Revenue (million), by Type 2024 & 2032
- Figure 27: Asia Pacific AR Virtual Try-On Revenue Share (%), by Type 2024 & 2032
- Figure 28: Asia Pacific AR Virtual Try-On Revenue (million), by Application 2024 & 2032
- Figure 29: Asia Pacific AR Virtual Try-On Revenue Share (%), by Application 2024 & 2032
- Figure 30: Asia Pacific AR Virtual Try-On Revenue (million), by Country 2024 & 2032
- Figure 31: Asia Pacific AR Virtual Try-On Revenue Share (%), by Country 2024 & 2032
- Table 1: Global AR Virtual Try-On Revenue million Forecast, by Region 2019 & 2032
- Table 2: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 3: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 4: Global AR Virtual Try-On Revenue million Forecast, by Region 2019 & 2032
- Table 5: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 6: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 7: Global AR Virtual Try-On Revenue million Forecast, by Country 2019 & 2032
- Table 8: United States AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 9: Canada AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 10: Mexico AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 11: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 12: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 13: Global AR Virtual Try-On Revenue million Forecast, by Country 2019 & 2032
- Table 14: Brazil AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 15: Argentina AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 16: Rest of South America AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 17: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 18: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 19: Global AR Virtual Try-On Revenue million Forecast, by Country 2019 & 2032
- Table 20: United Kingdom AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 21: Germany AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 22: France AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 23: Italy AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 24: Spain AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 25: Russia AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 26: Benelux AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 27: Nordics AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 28: Rest of Europe AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 29: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 30: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 31: Global AR Virtual Try-On Revenue million Forecast, by Country 2019 & 2032
- Table 32: Turkey AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 33: Israel AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 34: GCC AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 35: North Africa AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 36: South Africa AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 37: Rest of Middle East & Africa AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 38: Global AR Virtual Try-On Revenue million Forecast, by Type 2019 & 2032
- Table 39: Global AR Virtual Try-On Revenue million Forecast, by Application 2019 & 2032
- Table 40: Global AR Virtual Try-On Revenue million Forecast, by Country 2019 & 2032
- Table 41: China AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 42: India AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 43: Japan AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 44: South Korea AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 45: ASEAN AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 46: Oceania AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
- Table 47: Rest of Asia Pacific AR Virtual Try-On Revenue (million) Forecast, by Application 2019 & 2032
Aspects | Details |
---|---|
Study Period | 2019-2033 |
Base Year | 2024 |
Estimated Year | 2025 |
Forecast Period | 2025-2033 |
Historical Period | 2019-2024 |
Growth Rate | CAGR of XX% from 2019-2033 |
Segmentation |
|
STEP 1 - Identification of Relevant Samples Size from Population Database



STEP 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)

Note* : In applicable scenarios
STEP 3 - Data Sources
Primary Research
- Web Analytics
- Survey Reports
- Research Institute
- Latest Research Reports
- Opinion Leaders
Secondary Research
- Annual Reports
- White Paper
- Latest Press Release
- Industry Association
- Paid Database
- Investor Presentations

STEP 4 - Data Triangulation
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
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