Product Code: ETC4436549 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
The smart clothing market in Indonesia is emerging as an exciting niche within the broader wearable technology industry. These intelligent garments offer features like health monitoring and activity tracking, making them popular among health-conscious consumers. As the country becomes more health-aware, the smart clothing market is expected to gain traction in Indonesia.
The adoption of smart clothing in Indonesia is on the rise due to health and fitness awareness, as well as the desire for fashionable wearables. Key drivers include the integration of sensors for monitoring biometric data, such as heart rate and body temperature, and the increasing popularity of athleisure wear.
The smart clothing market faces challenges in ensuring user comfort and the durability of embedded sensors. Users expect clothing with integrated technology to be both functional and wearable for extended periods.
The COVID-19 pandemic had a dual impact on the smart clothing market in Indonesia. While the initial disruption in manufacturing and supply chains affected the production of smart clothing, there was an increased interest in health monitoring and wearable technology. Smart clothing with health-tracking capabilities, such as temperature and heart rate monitoring, gained popularity as people sought ways to monitor their well-being remotely. The market saw a shift in consumer preferences towards health-oriented smart clothing, and companies adapted to cater to this demand.
Leading players in the Indonesia Smart Clothing market include innovative companies like Hexoskin, Athos, Sensoria Health, and Myant. These organizations have been at the forefront of integrating wearable sensor technologies into clothing, enabling applications in sports performance, healthcare, and wellness.
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 Smart Clothing Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Smart Clothing Market Revenues & Volume, 2021 & 2031F |
3.3 Indonesia Smart Clothing Market - Industry Life Cycle |
3.4 Indonesia Smart Clothing Market - Porter's Five Forces |
3.5 Indonesia Smart Clothing Market Revenues & Volume Share, By Product Type , 2021 & 2031F |
3.6 Indonesia Smart Clothing Market Revenues & Volume Share, By End-User Industry, 2021 & 2031F |
3.7 Indonesia Smart Clothing Market Revenues & Volume Share, By Textile Type, 2021 & 2031F |
4 Indonesia Smart Clothing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing awareness and adoption of wearable technology in Indonesia |
4.2.2 Growing demand for fitness and health monitoring devices |
4.2.3 Rising disposable income and changing lifestyle preferences in the country |
4.3 Market Restraints |
4.3.1 High initial cost of smart clothing products may deter mass adoption |
4.3.2 Limited availability of advanced technology infrastructure in some regions of Indonesia |
4.3.3 Concerns regarding data privacy and security associated with smart clothing devices |
5 Indonesia Smart Clothing Market Trends |
6 Indonesia Smart Clothing Market, By Types |
6.1 Indonesia Smart Clothing Market, By Product Type |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Smart Clothing Market Revenues & Volume, By Product Type , 2021-2031F |
6.1.3 Indonesia Smart Clothing Market Revenues & Volume, By Upper Wear, 2021-2031F |
6.1.4 Indonesia Smart Clothing Market Revenues & Volume, By Lower Wear, 2021-2031F |
6.1.5 Indonesia Smart Clothing Market Revenues & Volume, By Innerwear, 2021-2031F |
6.1.6 Indonesia Smart Clothing Market Revenues & Volume, By Others (socks, beanie, gloves, and hats), 2021-2031F |
6.2 Indonesia Smart Clothing Market, By End-User Industry |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Smart Clothing Market Revenues & Volume, By Military & Defense, 2021-2031F |
6.2.3 Indonesia Smart Clothing Market Revenues & Volume, By Sports & Fitness, 2021-2031F |
6.2.4 Indonesia Smart Clothing Market Revenues & Volume, By Fashion & Entertainment, 2021-2031F |
6.2.5 Indonesia Smart Clothing Market Revenues & Volume, By Healthacre, 2021-2031F |
6.2.6 Indonesia Smart Clothing Market Revenues & Volume, By Mining, 2021-2031F |
6.2.7 Indonesia Smart Clothing Market Revenues & Volume, By Others, 2021-2031F |
6.3 Indonesia Smart Clothing Market, By Textile Type |
6.3.1 Overview and Analysis |
6.3.2 Indonesia Smart Clothing Market Revenues & Volume, By Active Smart, 2021-2031F |
6.3.3 Indonesia Smart Clothing Market Revenues & Volume, By Passive Smart, 2021-2031F |
6.3.4 Indonesia Smart Clothing Market Revenues & Volume, By Ultra-Smart, 2021-2031F |
7 Indonesia Smart Clothing Market Import-Export Trade Statistics |
7.1 Indonesia Smart Clothing Market Export to Major Countries |
7.2 Indonesia Smart Clothing Market Imports from Major Countries |
8 Indonesia Smart Clothing Market Key Performance Indicators |
8.1 Percentage increase in the number of smart clothing brands entering the Indonesian market |
8.2 Growth in the number of partnerships between smart clothing companies and local retailers |
8.3 Adoption rate of smart clothing technology among Indonesian consumers |
8.4 Number of new innovative features introduced in smart clothing products |
8.5 Increase in the usage of smart clothing in healthcare and wellness applications |
9 Indonesia Smart Clothing Market - Opportunity Assessment |
9.1 Indonesia Smart Clothing Market Opportunity Assessment, By Product Type , 2021 & 2031F |
9.2 Indonesia Smart Clothing Market Opportunity Assessment, By End-User Industry, 2021 & 2031F |
9.3 Indonesia Smart Clothing Market Opportunity Assessment, By Textile Type, 2021 & 2031F |
10 Indonesia Smart Clothing Market - Competitive Landscape |
10.1 Indonesia Smart Clothing Market Revenue Share, By Companies, 2024 |
10.2 Indonesia Smart Clothing Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |