| Product Code: ETC127883 | Publication Date: Jul 2023 | Updated Date: Jan 2026 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 70 | No. of Figures: 35 | No. of Tables: 5 |
In the Indonesia cleaning mops market, the import trend experienced a decline from 2023 to 2024, with a growth rate of -8.97%. However, the compound annual growth rate (CAGR) for the period 2020-2024 stood at 4.09%. This negative import momentum in 2024 could be attributed to shifts in consumer preferences or changes in trade policies impacting market stability.

By 2027, Indonesia's Cleaning Mops market is forecasted to achieve a high growth rate of 13.02%, with China leading the Asia region, followed by India, Japan, Australia and South Korea.

Indonesia Cleaning Mops Market is projected to grow since Indonesia is a rapidly growing market for cleaning mops. The country`s population growth, increasing urbanization, rising consumer spending on home products and the increasing trend of micro-apartment living are major drivers of this rise in demand. Furthermore, Indonesia hospitality sector has been growing steadily due to increased tourism and business investments; creating additional demand for cleaning mops from hotels and other establishments.
The main challenge affecting the Indonesia cleaning mop market is the availability of counterfeit goods as well as poor quality local brands which have resulted in high pricing pressure from consumers who seek low cost alternatives to branded products. In addition, there is limited access to advanced technology such as automatic mopping robots that are being used in international markets, constraining development of the industry domestically.
Major players operating in the Indonesia Cleaning Mop Market include 3M Company (U.S.), Unilever (U.K.), SC Johnson & Son Inc.(US), K?rcher International GmbH(Germany) and Dyson Ltd.(UK).
Indonesia Cleaning Mops |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Indonesia Cleaning Mops Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Cleaning Mops Market Revenues & Volume, 2020 & 2027F |
3.3 Indonesia Cleaning Mops Market - Industry Life Cycle |
3.4 Indonesia Cleaning Mops Market - Porter's Five Forces |
3.5 Indonesia Cleaning Mops Market Revenues & Volume Share, By Product Type, 2020 & 2027F |
3.6 Indonesia Cleaning Mops Market Revenues & Volume Share, By End-User, 2020 & 2027F |
3.7 Indonesia Cleaning Mops Market Revenues & Volume Share, By Distribution Channel, 2020 & 2027F |
4 Indonesia Cleaning Mops Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing awareness about hygiene and cleanliness among Indonesian households |
4.2.2 Growing urbanization leading to smaller living spaces which increase the demand for convenient cleaning tools like mops |
4.2.3 Rising disposable income levels in Indonesia driving the adoption of advanced cleaning products |
4.3 Market Restraints |
4.3.1 Competition from alternative cleaning tools such as vacuum cleaners and cleaning services |
4.3.2 Price sensitivity among consumers in Indonesia |
4.3.3 Lack of awareness about the benefits of using specific types of mops for different surfaces |
5 Indonesia Cleaning Mops Market Trends |
6 Indonesia Cleaning Mops Market, By Types |
6.1 Indonesia Cleaning Mops Market, By Product Type |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Cleaning Mops Market Revenues & Volume, By Product Type, 2018 - 2027F |
6.1.3 Indonesia Cleaning Mops Market Revenues & Volume, By Dry mops, 2018 - 2027F |
6.1.4 Indonesia Cleaning Mops Market Revenues & Volume, By Wet mops, 2018 - 2027F |
6.1.5 Indonesia Cleaning Mops Market Revenues & Volume, By Mops for pre-moisting, 2018 - 2027F |
6.1.6 Indonesia Cleaning Mops Market Revenues & Volume, By Hot mops, 2018 - 2027F |
6.1.7 Indonesia Cleaning Mops Market Revenues & Volume, By Syntho-mop, 2018 - 2027F |
6.1.8 Indonesia Cleaning Mops Market Revenues & Volume, By Microfiber mops, 2018 - 2027F |
6.2 Indonesia Cleaning Mops Market, By End-User |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Cleaning Mops Market Revenues & Volume, By Residential, 2018 - 2027F |
6.2.3 Indonesia Cleaning Mops Market Revenues & Volume, By Commercial, 2018 - 2027F |
6.2.4 Indonesia Cleaning Mops Market Revenues & Volume, By Industrial, 2018 - 2027F |
6.3 Indonesia Cleaning Mops Market, By Distribution Channel |
6.3.1 Overview and Analysis |
6.3.2 Indonesia Cleaning Mops Market Revenues & Volume, By Online channel, 2018 - 2027F |
6.3.3 Indonesia Cleaning Mops Market Revenues & Volume, By Offline channel, 2018 - 2027F |
7 Indonesia Cleaning Mops Market Import-Export Trade Statistics |
7.1 Indonesia Cleaning Mops Market Export to Major Countries |
7.2 Indonesia Cleaning Mops Market Imports from Major Countries |
8 Indonesia Cleaning Mops Market Key Performance Indicators |
8.1 Household penetration rate of cleaning mops in urban areas |
8.2 Growth in the sales of eco-friendly mops in Indonesia |
8.3 Number of new product launches and innovations in the cleaning mop market |
9 Indonesia Cleaning Mops Market - Opportunity Assessment |
9.1 Indonesia Cleaning Mops Market Opportunity Assessment, By Product Type, 2020 & 2027F |
9.2 Indonesia Cleaning Mops Market Opportunity Assessment, By End-User, 2020 & 2027F |
9.3 Indonesia Cleaning Mops Market Opportunity Assessment, By Distribution Channel, 2020 & 2027F |
10 Indonesia Cleaning Mops Market - Competitive Landscape |
10.1 Indonesia Cleaning Mops Market Revenue Share, By Companies, 2020 |
10.2 Indonesia Cleaning Mops Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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