| Product Code: ETC041589 | 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 casual pants market, the import trend experienced a decline from 2023 to 2024, with a growth rate of -2.19%. The compound annual growth rate (CAGR) for imports during the period 2020-2024 stood at -3.98%. This negative import momentum could be attributed to shifting consumer preferences towards domestic products or changes in trade policies affecting international sourcing strategies.

The Indonesia casual pants market is expected to register a CAGR of 8.6% during theperiod (2020-2026). The increasing trend of athleisure wear and rapidly growing e-commerce in the country are key driving factors for theof the market. Additionally rising disposable income among Indonesia consumers has led them to shift their spending towards premium quality garments which is further augmenting theof the market.
Some prominent players operating in this field include Uniqlo Co. Isetan Mitsukoshi Holdings Ltd. PT Mitra Adiperkasa Tbk. H&M Hennes Mauritz AB (H&M) VF Corporation Inc. Adidas AGNike Inc. Puma SELevi Strauss Co.
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 Casual Pants Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Casual Pants Market Revenues & Volume, 2020 & 2030F |
3.3 Indonesia Casual Pants Market - Industry Life Cycle |
3.4 Indonesia Casual Pants Market - Porter's Five Forces |
3.5 Indonesia Casual Pants Market Revenues & Volume Share, By Type, 2020 & 2030F |
3.6 Indonesia Casual Pants Market Revenues & Volume Share, By ???l???t??n, 2020 & 2030F |
4 Indonesia Casual Pants Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Indonesia Casual Pants Market Trends |
6 Indonesia Casual Pants Market, By Types |
6.1 Indonesia Casual Pants Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Casual Pants Market Revenues & Volume, By Type, 2020-2030F |
6.1.3 Indonesia Casual Pants Market Revenues & Volume, By Men's Pant, 2020-2030F |
6.1.4 Indonesia Casual Pants Market Revenues & Volume, By Women's Pants, 2020-2030F |
6.2 Indonesia Casual Pants Market, By ???l???t??n |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Casual Pants Market Revenues & Volume, By ??????lt? ?t?r??, 2020-2030F |
6.2.3 Indonesia Casual Pants Market Revenues & Volume, By ?u??rm?rk?t & ??ll, 2020-2030F |
6.2.4 Indonesia Casual Pants Market Revenues & Volume, By ?-??mm?r??, 2020-2030F |
7 Indonesia Casual Pants Market Import-Export Trade Statistics |
7.1 Indonesia Casual Pants Market Export to Major Countries |
7.2 Indonesia Casual Pants Market Imports from Major Countries |
8 Indonesia Casual Pants Market Key Performance Indicators |
9 Indonesia Casual Pants Market - Opportunity Assessment |
9.1 Indonesia Casual Pants Market Opportunity Assessment, By Type, 2020 & 2030F |
9.2 Indonesia Casual Pants Market Opportunity Assessment, By ???l???t??n, 2020 & 2030F |
10 Indonesia Casual Pants Market - Competitive Landscape |
10.1 Indonesia Casual Pants Market Revenue Share, By Companies, 2023 |
10.2 Indonesia Casual Pants 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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