India's Counterfeit Crisis: 35% of Consumers Encounter Fakes Yearly
Key Takeaways
- A new report by ASPA and CRISIL reveals that 35% of Indian consumers encountered counterfeit goods in the past year, with online platforms facilitating 53% of these purchases.
- The study highlights a pervasive issue where nearly 90% of urban shoppers have purchased a fake product at least once.
Mentioned
Key Intelligence
Key Facts
- 135% of Indian consumers encountered counterfeit products in the last 12 months
- 289% of urban consumers have purchased a fake product at least once in their lifetime
- 3Online platforms account for 53% of counterfeit product purchases in India
- 4The apparel sector is the most affected, with 31% of consumers reporting fake encounters
- 5Counterfeit medicines are estimated to hold a 28% share of the pharmaceutical market
- 61,639 respondents across 9 major Indian cities were surveyed for the report
| Sector | ||
|---|---|---|
| Apparel | 31% | Brand dilution & revenue loss |
| FMCG | 27% | Health risks from food/personal care |
| Automotive | 22% | Safety hazards from sub-standard parts |
| Consumer Durables | 18% | Electrical failure & fire hazards |
Who's Affected
Analysis
The "State of Counterfeiting in India 2025" report, a collaborative effort between the Authentication Solution Providers' Association (ASPA) and CRISIL Intelligence, has unveiled a sobering reality for the Indian retail landscape. According to the study, 35% of Indian consumers encountered counterfeit products within the last twelve months. Even more striking is the finding that 89% of urban consumers—nearly nine out of ten—admit to having purchased a counterfeit item at least once in their lifetime. This data suggests that counterfeiting is no longer a fringe issue relegated to grey markets but a deeply entrenched component of the mainstream consumer experience in India.
The shift in distribution channels is perhaps the most significant takeaway for the e-commerce sector. The report indicates that online platforms now account for 53% of counterfeit purchases. This highlights a critical vulnerability in the digital supply chain, where the anonymity and scale of third-party marketplaces allow bad actors to thrive. For e-commerce giants operating in India, these findings represent a significant reputational risk. While platforms have invested in brand registry programs and AI-driven detection, the data suggests these measures are failing to keep pace with the sophistication of counterfeiters. The report notes that in the consumer durables and electronics segment, over half of all counterfeit exposure occurred through online channels, signaling that high-value items are increasingly being targeted in the digital space.
The "State of Counterfeiting in India 2025" report, a collaborative effort between the Authentication Solution Providers' Association (ASPA) and CRISIL Intelligence, has unveiled a sobering reality for the Indian retail landscape.
From a sectoral perspective, the apparel industry remains the primary battleground, with 31% of respondents reporting encounters with fake fashion goods. The high prevalence of "first copies" in apparel is often driven by consumer desire for luxury aesthetics at a fraction of the price, but the report warns of a more insidious trend in the FMCG and pharmaceutical sectors. Approximately 27% of consumers encountered counterfeit FMCG products, including packaged foods and personal care items, which carry direct health risks. Even more alarming is the estimate that counterfeit medicines account for roughly 28% of the market. This is no longer just a matter of lost tax revenue or brand protection; it is a public health crisis that demands urgent regulatory intervention.
What to Watch
The automotive sector also faces severe challenges, with 22% of consumers encountering fake spare parts. In a market where vehicle safety is already a point of national discussion, the prevalence of sub-standard brake pads, filters, and engine components poses a lethal threat to road safety. The report’s findings from nine major urban hubs—including Delhi, Mumbai, and Bengaluru—suggest that even the most informed consumer segments are struggling to distinguish between genuine and fraudulent goods.
Looking ahead, the industry must move toward a multi-layered defense strategy. ASPA and CRISIL emphasize the need for advanced authentication solutions, such as blockchain-enabled tracking, secure QR codes, and tamper-evident packaging. For brands, the cost of inaction is rising; beyond the immediate loss of sales, the long-term erosion of consumer trust can be catastrophic. We expect to see a surge in "phygital" security measures where physical products are inextricably linked to a digital identity. Furthermore, as the Indian government continues to tighten e-commerce regulations, platforms will likely face stricter liability for counterfeit goods sold by third-party vendors. The transition from reactive policing to proactive, tech-driven brand protection will be the defining trend for Indian retail over the next three years.
How we covered this story
Every story in our retail coverage is assembled from multiple primary sources, cross-referenced for factual consistency, and scored along three independent dimensions: sentiment, operational impact, and source-cluster confidence. Single-source rumors and unverifiable claims do not pass our editorial gate. When a story shows "Verified by N sources" with N≥2, the development is independently corroborated; when N=1, we mark it explicitly so readers can weigh the signal accordingly.
Impact scoring uses a 1-10 scale weighted toward regulatory, financial, and operational consequence rather than coverage volume. A topic that runs in every outlet but moves no real decisions ranks lower than a niche regulatory filing that reshapes how operators in the retail space have to behave. Read our full methodology for the scoring rubric, our glossary for term definitions, and our trends index for the longitudinal view across the beat.
| Signal on this page | What it tells you |
|---|---|
| Verified by N sources | Independent corroboration count. N≥2 is our confidence floor; N=1 is marked explicitly. |
| Impact score (1-10) | Regulatory + financial + operational weight. 8+ signals an experienced-operator action item. |
| Sentiment | Five-tier classification trained on labeled retail-specific corpora. |
| Timeline | Where applicable, the related-events sequence that contextualizes today's development. |