Asia Pacific Dry-cleaning And Laundry Services Market Size & Outlook
Asia Pacific dry-cleaning and laundry services market, 2016-2030 (US$M)
Related Markets
Asia Pacific dry-cleaning and laundry services market highlights
- The Asia Pacific dry-cleaning and laundry services market generated a revenue of USD 24,282.1 million in 2022.
- The market is expected to grow at a CAGR of 8.4% from 2023 to 2030.
- In terms of segment, laundry was the largest revenue generating service in 2022.
- Dry Cleaning is the most lucrative service segment registering the fastest growth during the forecast period.
- Country-wise, China is expected to register the highest CAGR from 2023 to 2030.
Asia Pacific data book summary
| Market revenue in 2022 | USD 24,282.1 million |
| Market revenue in 2030 | USD 46,174.5 million |
| Growth rate | 8.4% (CAGR from 2022 to 2030) |
| Largest segment | Laundry |
| Fastest growing segment | Dry Cleaning |
| Historical data covered | 2016 - 2021 |
| Base year for estimation | 2022 |
| Forecast period covered | 2023 - 2030 |
| Quantitative units | Revenue in USD million |
| Market segmentation | Laundry, Dry Cleaning, Duvet Cleaning |
| Key market players worldwide | Procter & Gamble Co, HUNTINGTON SOLUTIONS, Alliance Laundry Systems, ZIPS Franchising, Alsco, Rinse, Marberry Cleaners & Launderers, Cleanly, Tide Dry Cleaners |
Other key industry trends
- In terms of revenue, Asia Pacific region accounted for 35.0% of the global dry-cleaning and laundry services market in 2022.
- Globally, Asia Pacific is projected to lead the regional market in terms of revenue in 2030.
- Asia Pacific is the fastest growing regional market and is projected to reach USD 46,174.5 million by 2030.
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Dry-cleaning And Laundry Services Market Scope
Dry-cleaning And Laundry Services Market Companies
| Name | Profile | # Employees | HQ | Website |
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Asia Pacific dry-cleaning and laundry services market outlook
The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to dry-cleaning and laundry services market will help companies and investors design strategic landscapes.
Laundry was the largest segment with a revenue share of 60.09% in 2022. Horizon Databook has segmented the Asia Pacific dry-cleaning and laundry services market based on laundry, dry cleaning, duvet cleaning covering the revenue growth of each sub-segment from 2016 to 2030.
Reasons to subscribe to Asia Pacific dry-cleaning and laundry services market databook:
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Strategic advantage: By staying updated with the latest market intelligence, companies can stay ahead of competitors, anticipate industry shifts, and capitalize on emerging opportunities.
Target buyers of Asia Pacific dry-cleaning and laundry services market databook
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Our clientele includes a mix of dry-cleaning and laundry services market companies, investment firms, advisory firms & academic institutions.
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30% of our revenue is generated working with investment firms and helping them identify viable opportunity areas.
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Approximately 65% of our revenue is generated working with competitive intelligence & market intelligence teams of market participants (manufacturers, service providers, etc.).
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The rest of the revenue is generated working with academic and research not-for-profit institutes. We do our bit of pro-bono by working with these institutions at subsidized rates.
Horizon Databook provides a detailed overview of continent-level data and insights on the Asia Pacific dry-cleaning and laundry services market , including forecasts for subscribers. This continent databook contains high-level insights into Asia Pacific dry-cleaning and laundry services market from 2016 to 2030, including revenue numbers, major trends, and company profiles.
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Asia Pacific dry cleaning laundry services market size, by country, 2016-2030 (US$M)
Asia Pacific Dry-cleaning And Laundry Services Market Outlook Share, 2022 & 2030 (US$M)
Related regional statistics
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