Which channels will shape the next wave? Which categories will lead? Which price points will gain share?
A view of the overall fashion market, followed by a focused apparel and footwear index.
A channel-first view of where apparel and footwear growth is heading, followed by the categories, price bands and brand positions that matter for execution.
The forward view uses the refreshed Section 2 workbook; observations and modelled outcomes are distinguished throughout. April–June 2025 and 2026 marketplace observations bring the opportunity down to actionable competitive detail.
For established brands: decide which channels and price architectures deserve investment, then benchmark performance against the relevant category - not only overall market growth.
For challengers: identify a specific category–price opportunity and a distribution model that fits the proposition before expanding broadly.
Explore a category, benchmark your brand, or build a channel-specific growth plan with Redseer.
Follow the shift in channels and delivery speed, then explore the price points, categories and brand models shaping the next wave of growth.
Rising discretionary spend and organised supply are expanding the branded fashion opportunity, while online platforms increasingly differentiate through reach, relevance, assortment, and category depth.
GMV · CY2026E → CY2030P
Channel shares · total GMV in US$ Bn · CY2026E → CY2030P
Forecast presentation: CY2030P labels show supplied ranges; bar heights and bridge additions retain the central estimates. Online share ranges are ±2 percentage points around each central share and are not additive scenarios. * Source totals and channel sums differ slightly; the supplied figures are retained.
Source: supplied channel-growth image, tables A and B, with the requested total ranges. CY2030P is a projection. Commentary is a strategic interpretation of market structure, not a statistical causal estimate.
Growth-bridge ranges are the supplied CY2030P channel bounds less the corresponding CY2026E base, rounded for display. The e-commerce CY2026E base is 22.6 in the latest overall-market image. Inside-online shares retain their separate 22.9 base. Central estimates determine bar heights.
The revised study brief specifies headline ranges of 73-83% for organised channels and 65-70% for verticals plus value commerce. These headline ranges are supplied inputs, not envelopes recalculated from all combinations of the component bounds. The component-level ranges, central estimates, and bar heights remain unchanged.
The latest source shows a total of 281-360. Its component sums are 203.1 in CY2026E and 322.9 in the CY2030P central case, versus supplied totals of 203.2 and 321.3. The supplied totals and component values remain separate rather than being forced to reconcile.
Formalisation expands the opportunity; differentiated propositions shape how it is captured. The following sections examine brand strength, category position and consumer relevance across the four platforms studied.
Branded adoption is being driven by a two-sided shift, with organised players expanding access and consumers increasingly valuing quality, design, trust, and consistency.
CY2026E, CY2030P
Scope: India online fashion market. Underlying data is unchanged; only the displayed structure and narrative have been updated.
Online-first brands, private labels, D2C models, and broader organised distribution are making branded products available across a wider range of price points, lowering the historical barrier to building and accessing a brand.
Greater exposure to brands and digital discovery is increasing the value consumers place on design, newness, quality, fit, consistency, and trust, making branded propositions relevant even beyond premium price points.
The next wave of branded growth is not limited to consumers trading up; organised players are increasingly bringing branded propositions into accessible price points, allowing more of the fragmented value end to become organised and branded.
1 Unbranded refers to products without distinct branding or a proprietary label, often sourced from manufacturers and sold under retailer or distributor names.
Source: supplied branded / unbranded reference chart and finalised messaging document.
Organised brands are broadening access across more price points, categories, and channels.
As brand becomes a shorthand for trust and consistency, a larger share of online fashion can formalise without relying only on premium trade-up.
Fashion is moving from a 2-3 day default towards a tiered fulfilment model, with speed becoming table stakes for high-intent purchases while assortment still governs the long tail.
Swipe horizontally to view all three panels.
Share of online fashion GMV · CY2026E → CY2030P
Share of online fashion GMV · CY2026E → CY2030P
Share of online fashion GMV · CY2026E → CY2030P
Each label is a four-percentage-point band around the supplied share. Central estimates determine stack heights. Within-day share is 100% less Next Day+.
Category fit is determined by the underlying purchase economics, with frequency, ASP, return propensity, and assortment complexity emerging as the key filters.
High purchase frequency and predictable sizing make these categories naturally compatible with faster fulfilment. Lower return rates and relatively standardised SKUs also improve the economics of carrying inventory closer to the consumer.
Familiar products and established brands reduce consideration, allowing faster fulfilment to add value without requiring extensive assortment. Low-to-mid ASPs further support the economics of localised inventory.
Frequent usage and relatively forgiving fit make activewear well suited to accelerated fulfilment, while low-ticket jewellery and adjacent categories can benefit from immediacy and low purchase friction.
Source: supplied Overall, Metro, and Non-metro delivery-mix table · CY2026E and CY2030P.
Conversely, footwear, premium fashion, and occasion-led categories remain structurally harder to accelerate, given higher ASPs, greater fit and style sensitivity, lower purchase frequency, and higher return risk.
Their scale, high purchase frequency, and broad brand landscape make them the most relevant categories for understanding where fashion's next branded growth will come from.
USD Bn, CY2026E, CY2030P
Category GMV CAGR ranges follow the supplied forecast assumptions for CY2026E-CY2030P.
Forecast labels show ±2 percentage-point bands around rounded central shares. The combined apparel and footwear range is 100% less the Others range of 14-18%, preserving a 100% total.
1. Others includes jewellery, luggage, watches, accessories, etc.
Source(s): Redseer research and analysis
The ₹500–2,000 middle gives up 5.1 pp of share as entry-price and premium apparel expand, while the category remains value-led with ~70% of GMV below ₹1,000.
Share of channel GMV · current-period benchmark
Despite sharing the same price ladder, the categories are moving differently: apparel expands at both the value and premium ends, while footwear's main mix shift is towards ₹2,000+ within an already premium-weighted base.
Category drivers are strategic interpretations of the supplied brief and source deck. The chart measures GMV mix, not unit volumes, individual consumer trade-up, or competitive intensity. It does not identify first-time shoppers, city tier, or brand motivation.
Channel chart labels are approximate whole percentages. Underlying precision is retained in calculations and exports.
Source: supplied Section 2 workbook · Sec 2.3 · tables A & B; price-bucket brand tables. Narrative: supplied Section 2.5 revision brief.
Western wear is the scale-and-fragmentation engine, ethnic wear is the most open large category, while footwear combines higher ASP with a stronger incumbent moat. Together, they capture the core scale and competitive tension in online fashion.
AMJ2026 · hover, focus, or tap a bubble to see New Age / Traditional shares
Reference lines are editorial grouping guides, not market medians.
Western and ethnic wear offer meaningful scale with relatively dispersed brand positions, whereas footwear has a stronger incumbent base, particularly in sports. The result is three different competitive starting points within the same online fashion market.
Gender × price uses the earlier Category Deep Dive, AMJ2025 → AMJ2026; the new section workbook does not replace that cut.
Source: supplied Section 2 workbook · Sec 2.4 · A4:E10; original gender-price deep dive.
New Age is a source-defined cohort and includes qualifying private labels. Concentration estimates marked † are supplied in the Section 2.6 revision brief, not recalculated from the retained chart data.
Map positions, weighted ASPs, cohort shares, and all gender-price figures retain the v14 HTML datasets and their original scope. The quadrant guides sit 10% below the minimum hero-category ASP and 18% below the minimum hero-category GMV. They group Western Wear, Ethnic Wear, and Footwear for the requested analytical framing, rather than represent market medians or a validated opportunity score.
The additional concentration comparisons, including ~18% for combined western wear, ~23% for women's ethnic wear, and ~80% / ~78% for men's / women's sports footwear, follow the supplied revision brief. The retained historical concentration cut contains 21.4% for women's ethnic wear and 77.4% / 78.1% for men's / women's sports footwear. These cuts have not been merged or silently substituted.
The Library copy of Fashion Index Theme Analysis (1).xlsx was located, but returned no readable content and its raw-byte materialization was unavailable. Fashion_GMV_Analyses_FY2026.xlsx was not retrieved. Brief-supplied concentration estimates therefore remain pending verification against those workbooks.
Higher-price concentration is a structural association, not evidence that individual shoppers traded up or that premiumisation caused consolidation. Low concentration alone does not establish ease of entry, profitability, or weak competition. Cohort shares exclude unclassified GMV and do not measure brand concentration.
Scale alone does not define the opportunity, the category's growth engine does. Western wear is the accessible scale pool, ethnic wear combines scale with unusually low brand concentration, while footwear is the higher-ASP pool with a stronger incumbent moat and sharp subcategory differences. The next layer of growth therefore sits in identifying the right price and subcategory pockets within each hero category.
Apparel’s challenger-led mix strengthens; Traditional brands retain the majority in footwear.
AMJ2026 · New Age versus Traditional
All chart labels use ±2 percentage-point ranges around rounded central shares; stack heights retain source values. CY2026E uses AMJ2026 as the baseline mix; CY2030P is the supplied base case. Qualifying private labels are included within the source’s New Age definition.
Source: supplied Section 2 workbook · Sec 2.5 · tables A & B.
The competitive starting point changes with the category: apparel is fragmented, while footwear has a much stronger leading group.
Rank-tier widths are schematic; labelled shares carry the data. Only overall apparel and footwear are shown.
Source: supplied Section 2 workbook · Sec 2.6 · A3:G5 (the prior tab 2.7).
A category position can matter more than an all-fashion rank. The top 40 capture only 27% of apparel GMV, versus 69% in footwear. Apparel leaves a much larger market outside the leaders; footwear entrants face a more concentrated competitive set.
Fashion is one of the largest and most dynamic categories in India’s online retail market, accounting for nearly one-fourth of online retail GMV. As growth increasingly shifts across horizontal marketplaces, fashion-led platforms, value commerce, brand.com and quick commerce, brands need a clear view of where growth is coming from, which consumer segments and price points are expanding, and which competitors are gaining share. The Redseer Fashion Index 2026 provides this view by tracking hundreds of brands across leading online platforms in apparel and footwear, benchmarking their scale, growth and competitive positioning. It enables brands to identify emerging growth opportunities, understand where they are winning or losing ground.
(Apparel & footwear only — that is where most of the brand play lies.)
Build the relevant peer set across apparel and footwear. Compare growth against the category, not only against the next brand in the table.
| Rank | Brand ↕ | 2025 ₹ Cr ↕ | 2026 ₹ Cr ↕ | YoY growth ↕ | Incremental ₹ Cr ↕ | 2026 share ↕ | Share change pp ↕ | Weighted ASP · ₹ ↕ | Verticals mix |
|---|
Explore a category, benchmark your brand, or build a channel-specific growth plan with Redseer.
Key terms and market definitions used in this report.
| Term | Definition |
|---|---|
| Market and channels | |
| Horizontals | Includes platforms selling wider range of categories like Amazon, Flipkart, Meesho, Snapdeal etc. |
| Verticals | Includes platforms with deeper focus on few categories like Myntra, Nykaa etc. |
| Value commerce | Low-ASP marketplaces with a Tier 2+ focus like Meesho. |
| Quick commerce | Players specializing in delivering orders quickly within 30 minutes like Blinkit, Zepto, etc. |
| Brand.com | Includes platforms for niche categories like bewakoof.com, Zivame etc. |
| Organised / unorganised | Organised: branded stores and chains. Unorganised: traditional, non-chain offline retail. |
| City tiers | Metro: top 8 cities. Tier 1: cities above 1 Mn population (about the next 55). Tier 2+: cities below 1 Mn population. |
| Rapid commerce | Orders delivered within 4 hours |
| Metrics and periods | |
| GMV | Gross Merchandise Value (GMV) refers to the total value of goods sold at their selling price (i.e., after any MRP discounts), excluding coupon and checkout discounts, delivery charges, and other platform fees. It includes cancelled and returned orders. |
| ASP | Avg selling price post MRP discount |
| Brands and the Battlefield | |
| New Age Brand | Fashion brands established in or after 2011 |
| Traditional Brand | Fashion brands established before 2011 |
| Private label | Brands developed and owned by retailers or e-commerce platforms |
The Benchmarks definition of the apparel and footwear categories used in this report. Kidswear and accessories are excluded.
| Category | Includes |
|---|---|
| Men's ethnicwear | Includes Kurtas And Shirts, Nehru Jackets, Ethnic Bottom Wear, Ethnic Wear Sets, Sherwanis, Ethnic Pyjama, Dhoti, Lungi |
| Men's Innerwear | Includes Briefs, Trunks & Boxers, Vests, Pyjamas and Lounge Pants, Thermals, Night Suits, G-Strings & Thongs |
| Men's Sportswear | Includes Mens Shorts, Track Pants, Track Suits, Athletic Socks, Sweaters, Sets, Sports T-Shirts & Jerseys, Sweatshirts & Hoodies, Leggings, Track Jackets, Underwear, Base Layers & Compression, Vests |
| Men's westernwear | Includes Jackets & Coats, Jeans, Shirts, Shorts & 3/4ths, Sweatshirts & Hoodies, Track Pants, Trousers & Pants, T-Shirts, Polo T Shirts, Casual Shirts, Formal Shirts, Sweaters, Joggers, Shorts |
| Women's ethnicwear | Includes Kurtas, Salwars & Churidars, Kurtis & Tunics, Sarees, Dupattas, Kurta Suit Sets, Blouses, Leggings, Skirts & Ghagras, Shawls & Wraps, Palazzos & Culottes, Dress Material, Gowns, Saree Shapewear & Petticoats, Lehenga Choli, Dhoti Pants, Ethnic Shrugs & Jackets, Cloaks & Abaya |
| Women's Innerwear | Includes Bras, Panties, Camisoles & Slips, Lingerie Sets, Night Dresses & Nighties, Shapewear, Thermals, Sleepwear & Loungewear |
| Women's Sportswear | Includes Womens Track Pants, Track Suits, Athletic Socks, Sweaters, Sets, Sports T-Shirts & Jerseys, Sweatshirts & Hoodies, Leggings, Track Jackets, Underwear, Base Layers & Compression, Vests |
| Women's westernwear | Includes Tops, T-Shirts, Jeans & Jeggings, Dresses, Trousers & Pants, Shirts, Track Pants, Skirts & Shorts, Jackets & Coats, Jumpsuits & Playsuits, Shrugs & Boleros, Sweatshirts & Hoodies, Sweaters & Cardigans, Trousers & Capris, Jeggings & Tights, Shrugs, Jackets & Blazers |
| Category | Includes |
|---|---|
| Men Footwear | Includes Mens Casual Shoes, Formal Shoes, Jutis And Mojaris, Slippers & Sandals, Socks, Sneakers, Loafers & Moccasins, Flip-Flops, Boots, Floaters, Thong Sandals, Boat Shoes, Ethnic Footwear |
| Women Footwear | Includes Womens Casual Shoes, Formal Shoes, Jutis And Mojaris, Slippers & Sandals, Socks, Sneakers, Loafers & Moccasins, Flip-Flops, Boots, Floaters, Thong Sandals, Boat Shoes, Ethnic Footwear |
| Men Sports Footwear | Includes Running shoes, Training & Gym shoes, Walking shoes, Football shoes, Trekking shoes, Cricket Shoes, Badminton Shoes, Basketball Shoes, Tennis Shoes, Hiking & Trekking Shoes, Motorsport Shoes, Boxing & Wrestling Shoes, Jogging Shoes, Wrestling Shoes, Squash Shoes, Golf Shoes, Hockey Shoes, Water Sport Shoes, Cycling Shoes, Riding Shoes, Barefoot Shoes, Rock Climbing Shoes |
| Women Sports Footwear | Includes Running shoes, Training & Gym shoes, Walking shoes, Football shoes, Trekking shoes, Cricket Shoes, Badminton Shoes, Basketball Shoes, Tennis Shoes, Hiking & Trekking Shoes, Motorsport Shoes, Boxing & Wrestling Shoes, Jogging Shoes, Wrestling Shoes, Squash Shoes, Golf Shoes, Hockey Shoes, Water Sport Shoes, Cycling Shoes, Riding Shoes, Barefoot Shoes, Rock Climbing Shoes |
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Top 20 named brands calculated from Master V3, for the selected adult apparel or footwear price band across all four source platforms.
Growth is calculated from the 2025 and 2026 GMV records. A missing prior-period base is labelled “No prior base”. The main index retains the full market denominator; this modal shows only the leading 20 named brands.
Accelerated commerce is gaining traction where purchase intent is already high and the trade-off between speed and assortment is limited. Low-ASP essentials, basics, activewear, and other frequently purchased categories are structurally better suited to faster fulfilment, while discovery-led and fit-sensitive categories remain more dependent on assortment breadth.
Category suitability is a strategic interpretation of purchase and fulfilment economics, not a measured category-level forecast.
The shift towards faster fulfilment does not apply uniformly across fashion. Adoption is strongest in categories where purchase decisions are relatively straightforward and consumers place greater value on fulfilment speed, while high-consideration categories continue to rely on broader assortment and conventional fulfilment.