Of the surveyed fast fashion retailers in Europe, H&M had the highest proportion of sustainable collections among their clothing lines in the first quarter of 2021, at almost ** percent. Notably, the percentage of sustainable clothing at Zara and C&A decreased massively from 2020 to 2021. Sustainable fashion consumers Sustainability is an increasingly important topic in many aspects of life, and consumers around the world are paying more attention to the sustainability of fashion. A 2022 survey showed that the majority of lifestyle brand consumers care more about the sustainability of products than they did in the previous year. ** percent of respondents from China and ** percent of respondents from the United States said that their concerns had increased. One way of shopping more sustainably is to simply buy fewer products. ** percent of lifestyle brand consumers in France and ** percent in the United Kingdom (UK) said that they were intending to purchase fewer products for the sake of sustainability. H&M sustainability Fashion brands are aware of the consumer demand to act more sustainably. There is particular pressure on fast fashion companies, such as H&M and Zara, to reduce their environmental impact. In response, these companies have set sustainability targets and publish their progress. H&M intends to source 100 percent of its materials sustainably, and use 100 percent renewable electricity by 2030. Currently, ** percent of H&M’s electricity comes from renewable sources.

This dataset is synthetically generated and is constructed such that there are various statistical trends and analytical opportunities present. - There are 40 unique clothing and accessory items along with their weight, selling price and the gender they're primarily for - There are 5 factories. Each factory produces a combination of products. Each product has a different manufacturing cost depending on the factory it is produced in. - There are 20 warehouses. Each warehouse obtains different products from different factories, with the shipping cost differing per product per factory. - An order consists of a number of products being transported from a factory to a warehouse. This is termed a batch. There is an expected arrival time and an actual arrival time. The 'Delay Risk' column denotes if a delay risk was associated with the shipment or not. For that batch, there are counts of the total products shipped, counts of the total products sold and the counts of total products returned. There is also an average batch rating.

Some statistical patterns built into the data: - For specific periods of time some factories produce a more damaged pieces of particular products. The factory and the product changes over time - Product sales have specific seasonal trends for demand and supply

The objectives can be supply chain optimization, trend analysis, risk analysis, etc.

According to a survey conducted in September 2024, nearly ** percent of American consumers thought that social media fueled overconsumption of fashion. Just under ** percent believed that Americans valued quantity over quality in fashion.

The Global Fast Fashion Market Size Was Worth USD 148.40 Billion in 2024 and Is Expected To Reach USD 179.50 Billion by 2034, CAGR of 14.56%.

This dataset contains intormation on prices, composition and "eco tagging" (i.e. being marketed as an eco friendly product) for 277 items in the Spanish Zara catalogue (Inditex group) as retrieved from their webside on 2020-11-07. Further, the dataset is structured in two dimensions:

Items Dimension (on row per item):

'item_code': primary key. Numeric code assigned to each clothin item

'item_name': str, name of the item.

'item_desc': str, description of the item.

'join_life': bool, weather or not the item is eco-tagged

'joinlife_title': str, ecologic marking

'joinlife_desc': str, description of the ecologic action taken

'item_price': num, price of the item in cents of €

Composition Dimension (one row per clothing material):

'item_code': int, foreign key to merge with Items Dimention

'part_name': str, part of the clothing item (e.g. Inside/Outside)

'material': str, name of the material.

'percent': srt, percentage of the material realtive to the clothing part.

Disclaimer: This dataset was created within the framework of Univeristat Oberta de Catalunya's Msc in Data Science as a research project and its purpose is purely educational.

This dataset highlights the often hidden costs of fast fashion. It includes brand-wise production data, environmental impact metrics like carbon emissions and water usage, labor conditions including wages and child labor reports, social media sentiment, and consumer behavior trends. Sourced from simulated realistic data inspired by open data, this dataset aims to support EDA, forecasting, policy modeling, and storytelling on sustainability and ethics in fashion

The fashion industry is projected to grow significantly in the next ten years. Two categories in the fashion industry that are of interest are the fast fashion market and the second-hand fashion market. By 2029, the fast fashion market is expected to grow by 20 percent. For the second-hand market this number is higher at 185 percent.

Market overview

Because of technological innovation, fashion in the last two decades has been produced at an accelerating speed. This so called 'fast' fashion is known for it’s accessible price point. Additionally, it often responds well to current trends because of product turnover, which further increases the appeal. European brands such as

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Fast Fashion Market Size 2025-2029

The fast fashion market size is forecast to increase by USD 79.2 billion, at a CAGR of 11% between 2024 and 2029.

The market is experiencing significant growth, driven by the burgeoning youth populations' increasing demand for affordable and trendy clothing. This demographic's preference for fashionable apparel that reflects current trends is fueling market expansion. Another key driver is the rise in social media marketing, enabling brands to reach a broader audience and engage consumers effectively. However, the market faces challenges, including the availability of counterfeit fast fashion products.
These imitations not only threaten brand reputation but also undermine consumer trust, necessitating robust intellectual property protection strategies. Companies must navigate these challenges while continuing to innovate and cater to evolving consumer preferences to capitalize on the market's potential.

What will be the Size of the Fast Fashion Market during the forecast period?

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The market continues to evolve at an unprecedented pace, driven by technological advancements and shifting consumer preferences. Digital pattern making and AI-powered design assistance streamline the product development process, enabling brands to bring new styles to market faster than ever before. E-commerce logistics and rapid prototyping techniques facilitate quick turnaround times, while sustainable textile sourcing and just-in-time inventory management help minimize waste. Lean manufacturing principles and virtual fashion prototyping enable mass customization through on-demand manufacturing and automated quality control. RFID tracking systems and apparel lifecycle management optimize inventory levels and reduce markdowns. Consumer behavior modeling and data-driven trend forecasting inform strategic decisions, while collaborative design platforms foster innovation and efficiency.
Circular fashion models and smart garment technology promote sustainability and reduce textile waste. Global sourcing strategies and flexible production lines ensure a steady supply of raw materials and finished goods. Ethical production practices and wearable sensor integration enhance transparency and accountability. For instance, a leading fashion brand implemented an AI-powered inventory management system, resulting in a 20% reduction in stockouts and a 15% increase in sales. Industry growth is expected to reach double-digit percentages in the coming years, fueled by these evolving market dynamics.

How is this Fast Fashion Industry segmented?

The fast fashion industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Gender

  Female
  Male


Distribution Channel

  Offline
  Online


Product Type

  Apparel
  Footwear
  Accessories


Consumer Demographics

  Adults
  Teen
  Kids


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Gender Insights

The female segment is estimated to witness significant growth during the forecast period.

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The Female segment was valued at USD 53.30 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 53% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In the dynamic world of fast fashion, North America continues to be a significant market, fueled by a large population, rising income levels, and shifting consumer preferences. The region's fast fashion landscape is characterized by various innovative technologies and practices. Digital pattern making and AI-powered design assistance streamline the design process, enabling quick trend diffusion. E-commerce logistics and on-demand manufacturing ensure rapid delivery and customization. Sustainable textile sourcing and ethical production practices address growing consumer concerns. The market's fragmented nature is further shaped by flexible production lines and collaborative design platforms, enabling mass customization and quick response manufacturing.

Virtual try-on applications and data-driven trend forecasting cater to evolving consumer behavior. The industry anticipates a substantial growth rate, with customer preference analytics and RFID tracking systems playing crucial roles in invent

Fast Fashion Market size was valued at USD 163.8 billion in 2025 and is projected to reach USD 436.5 billion by the end of 2035, rising at a CAGR of 10.3% during the forecast period, i.e., 2026-2035. The APAC industry is predicted to account for the largest share of 45.6% by 2035, owing to the huge manufacturing base in the region.

According to a survey among Southeast Asian consumers in 2022, ** percent of the respondents in Vietnam were willing to pay more for fast fashion brands that had sustainable collections or product lines. In comparison, ** percent of the respondents in Singapore were willing to pay more for sustainable fast fashion lines in 2022.

Introduction

Fashion Industry Statistics:Â The fast Fashion industry has experienced exponential growth, producing approximately 100 billion garments annually. This surge in production has led to significant environmental consequences, with the industry responsible for about 10% of global carbon emissions, surpassing the combined emissions from international flights and maritime shipping. Additionally, it accounts for 20% of global wastewater, primarily due to dyeing and finishing processes

Water consumption in fashion is staggering; manufacturing a single cotton shirt requires around 700 gallons of water, while a pair of jeans demands approximately 2,000 gallons. Annually, the industry utilizes about 93 billion cubic meters of water, exacerbating water scarcity issues worldwide.

Waste generation is another pressing concern. Out of the 100 billion garments produced each year, 92 million tonnes end up in landfills, equating to a truckload of textiles discarded every second. Moreover, over 50% of fast fashion items are disposed of within a year of purchase, highlighting the industry's contribution to the throwaway culture

Social implications are equally alarming. The fashion sector employs over 80 million workers globally, many of whom are young women from impoverished backgrounds. Reports have surfaced of laborers working up to 75 hours a week for as little as one cent per garment, underscoring the exploitation prevalent in the industry.

These statistics illuminate the profound environmental and social impacts of fast fashion, emphasizing the urgent need for more sustainable practices within the industry. However, sales technology is having a huge impact on customer behavior across the globe. In this article, we shed more light on the fashion industry statistics.

The market size of fast fashion was valued at over ** billion U.S. dollars in India. The market is likely to grow at CAGR of **** percent by 2030. H&M, Zara, and Roadster were some of the popular fast fashion brands in the country.

Fast Fashion Market Size, Trends and Insights By Gender (Male, Female, Others), By Distribution Channel (Online, Offline), By End User (Adult, Teen, Kids), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

According to current market research conducted by the CMI Team, the global Fast Fashion Market is expected to record a CAGR of 10.9% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 114.17 Billion. By 2033, the valuation will be USD 309.8 Billion.

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Our cleaned dataset with id strings of tweets containing "fast fashion" with only original, English tweets with sentiment scores for our Winter 2023 Digital Humanities 120: Social Media Data Analytics project at UCLA.

Based on the revenue figures from the company's financial year 2018, Spain-based retailer Zara (Inditex) ranked as the leading fast-fashion company in Europe. In that year, Zara generated around ** billion British pounds, surpassing the annual revenues of British retailers Marks & Spencer and Primark combined. Fast fashion’s product suppliers The fashion industry’s big names such as Zara and H&M are known for driving overproduction of apparel, which is predominantly outsourced through supplier factories in developing countries. H&M’s two main suppliers are located in China and Bangladesh, for instance. While the former also happens to be where most of the Inditex Group’s products are manufactured, the Spanish fashion retailer also has suppliers around European countries, such as Portugal and Spain. Europe’s textile waste problem Fast fashion companies often receive criticism for a string of reasons, the main ones revolving around environmental and ethical issues. Besides concerns around materials used in the production of clothes, unsold apparel that may end up sitting in companies’ inventories and clothing products that actually reach consumers but end up getting discarded create immediate problems. Recent studies looking into discarded textile items demonstrated that in Europe total textile waste produced per person was as high as nearly ** kilograms, most of which went to landfills to complicate the matter even further.

Our raw dataset with id strings of tweets containing "fast fashion" for our Winter 2023 Digital Humanities 120: Social Media Data Analytics project at UCLA.

ABSTRACT Purpose: The objective of this investigation is to analyze the influence of the conspicuous consumption of fast fashion products on Instagram on the identity construction process of female fashion consumers. Originality/value: Filling a gap in the literature relating to conspicuous consumption and identity construction, this investigation analyzes the consumption dynamics, investigating relevant phenomena on a current and relevant online social network: Instagram; and explaining, in an analysis by categories, the continued dissatisfaction of consumers with the goods that drive and determine the dynamics of fast fashion consumption. Design/methodology/approach: The methodology was qualitative, triangulating data from participant observation, interviews, and online focus groups. Eleven women were interviewed, and three focus group sessions were conducted, with a total of sixteen participants. The data were analyzed through content analysis with categories before and subcategories that emerged afterwards. Findings: The findings show the conspicuous consumption of fast fashion products on Instagram as creators of sense, self-concept, and self-image, following and demonstrating the lifestyle of consumers. The satisfaction resulting from people’s approval, the goods used for compliance in social groups, and the continued dissatisfaction with their possession are observed, which drives fast fashion consumption. The constructed identities are presented as contextual, fluid, and fragmented.

The Measurable AI Temu & Fast Fashion E-Receipt Dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Japan, Thailand, Malaysia, Vietnam, Indonesia, Singapore, Hong Kong, Phillippines) - EMEA (Spain, United Arab Emirates, Saudi, Qatar) - Latin America (Brazil, Mexico, Columbia, Argentina)

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more - Email ID (can work out user overlap with peers and loyalty)

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

The Zara dataset offers an extensive collection of data that is invaluable for analyzing trends in the fast fashion industry. This dataset includes detailed records on Zara's diverse range of products, covering everything from the latest clothing lines to accessories and footwear. Researchers and businesses can leverage the Zara sales dataset to gain insights into sales patterns, helping them understand consumer preferences and forecast future trends. With over 12,000 records, this dataset is a robust resource for anyone looking to delve into the intricacies of Zara's business model.

Moreover, the Zara US fashion products dataset is particularly useful for studying the brand's impact in the American market. This dataset provides a focused look at Zara's product offerings and sales within the US, enabling a detailed analysis of how Zara's fast fashion approach resonates with American consumers. By examining this dataset, stakeholders can identify key factors that drive Zara's success in the US and develop strategies to replicate that success in other markets.

Fast fashion industry has been under the environmental spotlight in recent years, due to a variety of reasons including the growing amount of household textile waste in Europe. One of the main reasons why fast fashion is a usual suspect in the issue is the large quantities of clothing and apparel items sold by brands usually at cheap prices.

As displayed in this statistic, in 2019, leading Europe-based fast fashion brands sold as many as almost 3 billion units, as in the case of Zara. Following the Spanish fashion group Inditex's Zara, H&M ranked in second place, having sold around 2.2 billion clothing and apparel items in the year 2018/19.