The online clothing rental market size is projected to be valued at US$ 2,279.9 million in 2023 and is expected to rise to US$ 6,244.1 million by 2033. The sales of online clothing rentals are expected to grow at a significant CAGR of 10.6% during the forecast period. Various factors propelling the demand for online clothing rental are:
For many years, people have rented clothing for theme parties and black-tie events. Furthermore, clothing rental has long been a part of the film, television, and media industries.
Previously, renting clothes meant going to physical stores. However, the online clothing rental market is expanding. eCommerce caters to a different audience and offers a much broader selection of fashion. Furthermore, recurring clothing subscriptions and peer-to-peer sharing have joined traditional one-time rentals.
Millennials and Generation Z are environmentally conscious, and sustainability is important to their purchasing decisions. According to the NRF and IBM report (2022), half of the consumers are willing to pay a premium for sustainability, and 44% identify as purpose-driven, selecting products and brands based on how well they align with their principles.
Rent the Runway (RTR), an online fashion rental company, conducted a study on clothing rental sustainability. RTR's research methodology was concise. They polled users and compared the life cycles of bought and rented clothes. Their findings were very encouraging, indicating that clothing rental could reduce:
| Attributes | Details |
|---|---|
| Online Clothing Rental Market CAGR | 10.6% |
| Online Clothing Rental Market Valuation (2023) | US$ 2,279.9 million |
| Online Clothing Rental Market Valuation (2033) | US$ 6,244.1 million |
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The global demand for online clothing rental grew at 8.7% CAGR during the historical period of 2018 to 2022. However, with a growing consumer inclination towards adopting rental clothes over purchasing new ones, the overall online clothing rental market is anticipated to grow at an impressive CAGR of 10.6% between 2023 and 2033.
In the past few years, the fashion and clothing industry has made significant progress across the globe. As a result, brand awareness is growing rapidly among consumers. Clothing for various occasions, such as corporate parties, wedding ceremonies, photo shoots, theme parties, and others, has increased demand for renting clothes online.
Also, over the last few years, people have become fashion-conscious due to the rise in social media platforms and are getting influenced to try different varieties of outfits. Further, the increasing impact of social media and the influential impact of online clothing rental portals have effectively resulted in the growth of the online clothing rental market.
Similarly, rise in fashion vlogs, fashion events, evolving trends of adventure events, occasions, advancement of mobile technology, a rise in the spending power of middle-class people, new ways of marketing, rising efforts of providers on a subscription model, and various other factors are expected to contribute to the growth of online clothing rental market over the next ten years.
Rising Awareness About Environmental Sustainability Fueling Market Growth
The global demand for online clothing rental grew at 8.7% CAGR during the historical period of 2018 to 2022. However, with a growing consumer inclination towards adopting rental clothes over purchasing new ones, the overall online clothing rental market is anticipated to grow at an impressive CAGR of 10.6% between 2023 and 2033.
In the past few years, the fashion and clothing industry has made significant progress across the globe. As a result, brand awareness is growing rapidly among consumers. Clothing for various occasions, such as corporate parties, wedding ceremonies, photo shoots, theme parties, and others, has increased demand for renting clothes online.
Also, over the last few years, people have become fashion-conscious due to the rise in social media platforms and are getting influenced to try different varieties of outfits. Further, the increasing impact of social media and the influential impact of online clothing rental portals have effectively resulted in the growth of the online clothing rental market.
Similarly, rise in fashion vlogs, fashion events, evolving trends of adventure events, occasions, advancement of mobile technology, a rise in the spending power of middle-class people, new ways of marketing, rising efforts of providers on a subscription model, and various other factors are expected to contribute to the growth of online clothing rental market over the next ten years.
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The online clothing rental trend is driven by affordability and was especially so during the pandemic-inflicted economic crisis. Consumers have not only reduced their consumption of nonessential items but are buying more low-priced, disposable garments. With low-cost and higher-quality online clothing rentals, the concept and practice complement the vintage fashion phenomenon.
Various consumers discard clothing items every year that have only been worn the least times on average. The clothes can be refurbished and put on rent on online rental clothing websites. This benefits people as they get a chance to try new or expensive clothes at an economical cost, and it also contributes to the environment with a reduction of wastage.
The United States is the biggest consumer of clothing rentals. In the United States, the annual value of clothing rental was around $1.9 billion in 2021, with an online share of around US$ 475 million. By 2026, the overall market is expected to be worth $3.7 billion. North America now accounts for 42% of global online clothing rentals. According to market forecasts, the clothing rental market in the United States recovered from the impact of COVID-19 with 26% and 13% annual growth, respectively, in 2021 and 2022.
The German clothing rental market was worth US$ 1.2 billion in 2019 and is expected to more than double by 2025. Given that e-commerce accounts for around 25% of total industry turnover, it is estimated that the regional online clothing rental market is likely to be worth US$ 300 million. With a 27% market share, it is the second-largest clothing rental region after North America.
The market is expected to grow at a compound annual growth rate (CAGR) of around 12%. When events resumed in 2022, the overall industry recovered from the impact of COVID-19. From 2023 onwards, market growth is expected to slow down and settle on both sides of the 16% mark.
The Asia Pacific region is a growing market for clothing rental services. China is the most important country in the region, with a US$ 632 million clothing rental market. Other key clothing rental countries include Japan, South Korea, and India. It currently accounts for slightly more than 20% of the global online clothing rental market, but some forecasts indicate that the Asia Pacific region is likely to account for 44% of the market growth in clothing rental.
Japan is a lucrative market for online clothing rental. Japanese people enjoy experimenting with Western fashion, which drives a high demand for online clothing rentals. Meanwhile, social media trends have a significant impact and influence on consumers' ability to adapt to changing fashion trends all over the world. With rising trends and a variety of events in Japan, online rental service providers are concentrating their efforts on youths and white-collar workers.
For example, in 2021, Reown Inc., a Japanese fashion brand, launched the service kirudake, which translates as "Just Wear It," which provides users with subscription offers ranging from US$ 43 to US$ 87 per month with a minimum 6-month contract. The service includes seasonal suit sets as well as storage and cleaning after the items have been returned.
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Currently, the male segment is growing at a slower rate than women and children. However, this appears to be changing, with an estimate indicating an above-average CAGR of 12.5%.
One possible explanation for the success of the women's segment is that the sector's largest companies are primarily focusing on women. Women are also more sensitive to changes in fashion, making rental services an appealing option for them.
One-time rentals are better suited for products that are only used on occasions, such as for events and special activities. The subscription model, on the other hand, is better suited to everyday products that consumers buy and use on a regular basis. The casual clothing rental industry is expected to expand significantly in the coming years. Due to the high purchase cost of higher-value segments and luxury items, access-based consumption models in the fashion industry are more profitable. As a result, the pricing pain point for one-time rentals may be higher relative to operational expenses than for low-cost products where the price of a one-time rental barely covers operating costs.
The standalone model allows the consumer to try on rental clothes from various service providers because the offer is only valid for a limited time per cloth. People can try on a variety of clothes from various service providers and are not limited to a single online clothing rental provider. Meanwhile, various service providers' offers entice customers to try on new designs and outfits.
To increase their global presence and capture a large revenue share, market leaders are focusing on new product launches, partnerships, collaborations, mergers and acquisitions, and integrating novel technologies.
For example:
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ Billion for Value |
| Key Countries Covered | United States, Canada, Germany, United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Thailand, Malaysia, Indonesia, Australia, New Zealand, GCC Countries, Turkiye, Northern Africa, and South Africa |
| Key Segments Covered | Product Type, Consumer Orientation, Business Model, End-User, Age Group, Region |
| Key Companies Profiled | Rent the Runway; Rotaro; GlamCorner Pty Ltd.; Casstle. Inc.; Mine for Nine, LLC; Dress Hire AU; Thread Rentals; Le Tote Inc.; Urban Outfitters; Rent The Front Row LLC; Dress & Go Company; Chic by Choice Company; STYLE Lend Company; RENT It Bae Company; Mr. & Ms. Collection; The Secret Wardrobe; Gap Inc.; MY WARDROBE HQ; By Rotation Ltd. |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
| Customization & Pricing | Available upon Request |
The Online Clothing Rental Market registers US$ 2,279.9 million in revenue in 2023.
The global Online Clothing Rental Market revenue is projected to exceed US$ 6,244.1 million by 2033.
Sales of clothes online are anticipated to upsurge at a 10.6% CAGR through 2033.
China's prospective inkjet printer market is driven by its vast population, rising disposable income, urbanization, and awareness of home offices.
During the historical period from 2018 to 2022, the demand for online garment rentals increased at a global rate of 8.7% CAGR. With a rising customer preference for renting clothing rather than buying new.
1. Executive Summary | Online Clothing Rental Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033
5.3.1. Men’s
5.3.1.1. Ethnic Wear
5.3.1.2. Performance Wear
5.3.1.3. Active Wear
5.3.1.4. Longue Wear
5.3.1.5. Knitwear
5.3.1.6. Trousers & Jeans
5.3.1.7. Coats & Jackets
5.3.2. Women’s
5.3.2.1. Ethnic Wear
5.3.2.2. Performance Wear
5.3.2.3. Active Wear
5.3.2.4. Longue Wear
5.3.2.5. Knitwear
5.3.2.6. Trousers & Jeans
5.3.2.7. Coats & Jackets
5.3.3. Kids
5.3.3.1. Casual Wear
5.3.3.2. Formals
5.3.3.3. Semi-Formals
5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Business Model
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Business Model, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Business Model, 2023 to 2033
6.3.1. Standalone Model
6.3.2. Subscription Model
6.4. Y-o-Y Growth Trend Analysis By Business Model, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Business Model, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By End User , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User , 2023 to 2033
7.3.1. Business to Consumer
7.3.2. Business to Business
7.4. Y-o-Y Growth Trend Analysis By End User , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By End User , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Age Group
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Age Group, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Age Group, 2023 to 2033
8.3.1. Below 18 years
8.3.2. 18-25 years
8.3.3. 26-34 years
8.3.4. 35-44 years
8.3.5. 45-54 years
8.3.6. 55 Above years
8.4. Y-o-Y Growth Trend Analysis By Age Group, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Age Group, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. South Asia
9.3.5. East Asia
9.3.6. Oceania
9.3.7. MEA
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Product Type
10.2.3. By Business Model
10.2.4. By End User
10.2.5. By Age Group
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product Type
10.3.3. By Business Model
10.3.4. By End User
10.3.5. By Age Group
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Product Type
11.2.3. By Business Model
11.2.4. By End User
11.2.5. By Age Group
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product Type
11.3.3. By Business Model
11.3.4. By End User
11.3.5. By Age Group
11.4. Key Takeaways
12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. United Kingdom
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Product Type
12.2.3. By Business Model
12.2.4. By End User
12.2.5. By Age Group
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product Type
12.3.3. By Business Model
12.3.4. By End User
12.3.5. By Age Group
12.4. Key Takeaways
13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Malaysia
13.2.1.3. Singapore
13.2.1.4. Thailand
13.2.1.5. Rest of South Asia
13.2.2. By Product Type
13.2.3. By Business Model
13.2.4. By End User
13.2.5. By Age Group
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product Type
13.3.3. By Business Model
13.3.4. By End User
13.3.5. By Age Group
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Product Type
14.2.3. By Business Model
14.2.4. By End User
14.2.5. By Age Group
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product Type
14.3.3. By Business Model
14.3.4. By End User
14.3.5. By Age Group
14.4. Key Takeaways
15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. Australia
15.2.1.2. New Zealand
15.2.2. By Product Type
15.2.3. By Business Model
15.2.4. By End User
15.2.5. By Age Group
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Product Type
15.3.3. By Business Model
15.3.4. By End User
15.3.5. By Age Group
15.4. Key Takeaways
16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Product Type
16.2.3. By Business Model
16.2.4. By End User
16.2.5. By Age Group
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Product Type
16.3.3. By Business Model
16.3.4. By End User
16.3.5. By Age Group
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Product Type
17.1.2.2. By Business Model
17.1.2.3. By End User
17.1.2.4. By Age Group
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Product Type
17.2.2.2. By Business Model
17.2.2.3. By End User
17.2.2.4. By Age Group
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Product Type
17.3.2.2. By Business Model
17.3.2.3. By End User
17.3.2.4. By Age Group
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Product Type
17.4.2.2. By Business Model
17.4.2.3. By End User
17.4.2.4. By Age Group
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Product Type
17.5.2.2. By Business Model
17.5.2.3. By End User
17.5.2.4. By Age Group
17.6. United Kingdom
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Product Type
17.6.2.2. By Business Model
17.6.2.3. By End User
17.6.2.4. By Age Group
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Product Type
17.7.2.2. By Business Model
17.7.2.3. By End User
17.7.2.4. By Age Group
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Product Type
17.8.2.2. By Business Model
17.8.2.3. By End User
17.8.2.4. By Age Group
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Product Type
17.9.2.2. By Business Model
17.9.2.3. By End User
17.9.2.4. By Age Group
17.10. India
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Product Type
17.10.2.2. By Business Model
17.10.2.3. By End User
17.10.2.4. By Age Group
17.11. Malaysia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Product Type
17.11.2.2. By Business Model
17.11.2.3. By End User
17.11.2.4. By Age Group
17.12. Singapore
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Product Type
17.12.2.2. By Business Model
17.12.2.3. By End User
17.12.2.4. By Age Group
17.13. Thailand
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Product Type
17.13.2.2. By Business Model
17.13.2.3. By End User
17.13.2.4. By Age Group
17.14. China
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Product Type
17.14.2.2. By Business Model
17.14.2.3. By End User
17.14.2.4. By Age Group
17.15. Japan
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Product Type
17.15.2.2. By Business Model
17.15.2.3. By End User
17.15.2.4. By Age Group
17.16. South Korea
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Product Type
17.16.2.2. By Business Model
17.16.2.3. By End User
17.16.2.4. By Age Group
17.17. Australia
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Product Type
17.17.2.2. By Business Model
17.17.2.3. By End User
17.17.2.4. By Age Group
17.18. New Zealand
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Product Type
17.18.2.2. By Business Model
17.18.2.3. By End User
17.18.2.4. By Age Group
17.19. GCC Countries
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Product Type
17.19.2.2. By Business Model
17.19.2.3. By End User
17.19.2.4. By Age Group
17.20. South Africa
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Product Type
17.20.2.2. By Business Model
17.20.2.3. By End User
17.20.2.4. By Age Group
17.21. Israel
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Product Type
17.21.2.2. By Business Model
17.21.2.3. By End User
17.21.2.4. By Age Group
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Product Type
18.3.3. By Business Model
18.3.4. By End User
18.3.5. By Age Group
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Rent the Runway
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Rotaro
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. GlamCorner Pty Ltd.
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Casstle. Inc
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Mine for Nine, LLC
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Dress Hire AU
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Thread Rentals
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Le Tote Inc.
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. Urban Outfitters
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Rent The Front Row LLC
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
19.1.11. Dress & Go Company
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Chic by Choice Company
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. STYLE Lend Company
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. RENT It Bae Company
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
19.1.15. Mr. & Ms. Collection
19.1.15.1. Overview
19.1.15.2. Product Portfolio
19.1.15.3. Profitability by Market Segments
19.1.15.4. Sales Footprint
19.1.15.5. Strategy Overview
19.1.15.5.1. Marketing Strategy
19.1.16. The Secret Wardrobe
19.1.16.1. Overview
19.1.16.2. Product Portfolio
19.1.16.3. Profitability by Market Segments
19.1.16.4. Sales Footprint
19.1.16.5. Strategy Overview
19.1.16.5.1. Marketing Strategy
19.1.17. Gap Inc.
19.1.17.1. Overview
19.1.17.2. Product Portfolio
19.1.17.3. Profitability by Market Segments
19.1.17.4. Sales Footprint
19.1.17.5. Strategy Overview
19.1.17.5.1. Marketing Strategy
19.1.18. MY WARDROBE HQ
19.1.18.1. Overview
19.1.18.2. Product Portfolio
19.1.18.3. Profitability by Market Segments
19.1.18.4. Sales Footprint
19.1.18.5. Strategy Overview
19.1.18.5.1. Marketing Strategy
19.1.19. By Rotation
19.1.19.1. Overview
19.1.19.2. Product Portfolio
19.1.19.3. Profitability by Market Segments
19.1.19.4. Sales Footprint
19.1.19.5. Strategy Overview
19.1.19.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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Online Clothing Rental Market
