MSME & Global Commerce · established evidence

7.83 Crore Registrations, Zero Visibility Metric: Why No One Tracks Whether MSMEs Can Be Found

Last reviewed 2026-08-09. Written by Chandranshu Kumar, Founder, Raveneye Global. · 9 min read

India tracks its Micro, Small, and Medium Enterprises with real precision, yet no MSME machine readiness index exists to show whether those enterprises can be found. As of February 28, 2026, over 7.83 crore enterprises are registered on the Udyam Registration Portal and Udyam Assist Platform, up from 0.79 crore four years earlier, recording 34.50 crore jobs. The Ministry of MSME reports the sector's 30 percent GDP share and 45-plus percent export share to a decimal point, and its credit machinery, the CGTMSE guarantee scheme and the GeM procurement platform, tracks guarantee ceilings, fee rates, and gross merchandise value to the rupee. None of that machinery measures whether a registered enterprise can actually be found, described, or recommended by a search engine or an AI system. The only available numbers on MSME digital presence come from a single independent survey, and they predate the AI-answer era entirely. This piece lays out what India measures about its MSMEs, what it does not, and why an AI-visibility metric does not yet exist at the national level, even as officials now, on the record, name the risk it would measure.

What the government counts, and counts precisely

The scale of India's MSME registration drive is not in dispute. The Udyam Registration Portal (URP), launched July 1, 2020 under the revised MSME classification, and the Udyam Assist Platform (UAP), added January 11, 2023 to formalize informal micro enterprises, together crossed 7.83 crore registered enterprises as of February 28, 2026, according to the Ministry of MSME's reply to the Rajya Sabha. The Ministry supplies the growth curve year by year: 0.79 crore at the end of FY22, 1.64 crore at the end of FY23, 4.12 crore at the end of FY24, 6.19 crore at the end of FY25, and 7.83 crore by the eleventh month of FY26.

The Ministry counts the downstream effects with similar precision. Replying to the Lok Sabha, Union MSME Minister Jitin Ram Manjhi put total employment recorded against Udyam-registered enterprises at 34.50 crore as of February 28, 2026, and reported that 1.37 lakh MSMEs had shut down since 2020, a closure rate of 0.17 percent of the registered base. Separately, in its Udyami Diwas MSME Day 2025 communication, the Ministry states that MSMEs contribute around 30 percent of India's GDP and over 45 percent of the country's exports.

None of this is a criticism of the counting. A national registry that can report its own growth to two decimal places and its closure rate to a fraction of a percent is a genuinely capable measurement system. It is precisely because that capability exists that its one conspicuous gap is worth naming.

The credit ledger runs to two decimal places

The precision is not confined to registration counts. The Credit Guarantee Scheme (CGS) for Micro and Small Enterprises, run through the Credit Guarantee Fund Trust for Micro and Small Enterprises (CGTMSE), is tracked down to fee percentages and rupee thresholds. The Ministry's July 2026 update lists the guarantee ceiling raised from Rs 5 crore to Rs 10 crore effective April 1, 2025, the Annual Guarantee Fee cut roughly in half to as low as 0.37 percent per year, and a Reserve Bank of India Master Direction, dated February 9, 2026, that bars scheduled commercial banks from demanding collateral on MSE loans up to Rs 20 lakh. CGTMSE has separately reported crossing Rs 5 lakh crore in cumulative guarantees approved.

The Government e-Marketplace (GeM) shows the same pattern from the procurement side. Ahead of its tenth anniversary on August 9, 2026, GeM reported cumulative gross merchandise value crossing Rs 20 lakh crore across more than 3.78 crore orders, with registered Micro and Small Enterprise sellers on the platform rising from 2,424 at launch to 12.25 lakh, and profile-completed sellers rising from 3,339 to 25.45 lakh.

Put the two together and a pattern emerges. Every rupee that moves toward or through a registered MSME, whether as a credit guarantee, a collateral waiver, or a government purchase order, is instrumented, dated, and published. The question of whether a buyer looking for that same enterprise, a person typing into Google or an AI system answering a shopping query, can actually locate it has no equivalent instrument anywhere in that reporting chain.

What is missing from the Ministry's own table of contents

The absence is structural, not incidental. The Ministry of MSME's Annual Report 2024-25 organizes itself into six chapters: an introduction to the Ministry's mandate and structure, an overview of the sector's role in the economy and its registration numbers, a chapter on attached offices and statutory bodies (the Khadi and Village Industries Commission, the Coir Board, the National Small Industries Corporation, ni-MSME, and MGIRI), a chapter on major schemes, a chapter on targeted activities for the Northeast, women, and differently abled entrepreneurs, and a chapter on general statutory obligations such as the Right to Information Act and vigilance.

Nowhere in that structure is there a chapter, sub-head, or annex measuring how many registered enterprises have a website, appear in local search, or are named when a buyer asks an AI assistant for a recommendation. The report that documents guarantee-fee basis points and collateral thresholds to the rupee has no corresponding line for discoverability, because discoverability was never built into what the reporting apparatus was designed to watch.

This is not unique to India's MSME reporting. Most national statistical systems were built to track production, employment, and credit flow, categories that predate the internet as a distribution channel and predate generative AI as a discovery layer by decades. The gap is old. What has changed is what sits on the other side of it.

The only visibility numbers that exist live outside government

A rare, independent attempt to measure MSME digital presence does exist. The Research and Information System for Developing Countries (RIS), with financial support from the Mastercard Center for Inclusive Growth and a field survey of 2,882 enterprises conducted with Kantar, published "MSME Digitalisation in India: Current Status and Challenges." Its findings on visibility-adjacent measures are blunt: only 19 percent of surveyed MSMEs reported having a website or web page, only 29 percent reported using social media for marketing, and only 18 percent were actively engaged in e-commerce.

The same report, describing the National Small Industries Corporation's MSME Global Mart portal, states that the initiative aims at "significantly reducing/eliminating the challenge of weak marketing, market access and low visibility of MSMEs in the country." The phrase is worth pausing on: a government-linked institution names low visibility as a defined problem, and its stated remedy is a directory listing, not a measurement of the problem it is trying to solve. India has a document that names the disease and a portal that offers a treatment, with no instrument in between that tracks the patient's vital signs.

The RIS survey is also, by construction, a survey of the classic web. It asks whether an enterprise has a website, uses social media, or sells online. It does not, and could not have been designed in its current form to, ask whether a generative AI system can correctly describe that enterprise, cite it as a source, or recommend it over a competitor. That is a different question, asked of a different kind of reader, and no comparable national survey has asked it yet.

Agentic shopping made the risk official, without giving it a number

The gap stopped being theoretical in December 2025. Replying to a question in the Lok Sabha, Minister of State for Commerce and Industry Jitin Prasada told Parliament that the growing use of AI-powered agentic shopping, where an AI agent searches, compares, and purchases with minimal manual input, "poses challenges for retailers, particularly those not integrated with major e-commerce platforms, risking reduced visibility and market access." That is a government minister, on the record, naming AI-driven visibility loss as a live policy concern for small businesses.

The remedies cited in the same reply were capacity and access, not measurement: the India AI Mission's provision of AI tools, computing resources, and data platforms to MSMEs, and the Open Network for Digital Commerce (ONDC), described as making "all sellers equally visible" by design, through open standards and transparent listing and ranking mechanisms. Equal visibility by design is a claim about architecture. It is not a reported number, and no figure accompanies it showing how visible a registered MSME actually is once an AI shopping agent, rather than a human browsing a marketplace, is doing the choosing.

The underlying construct is measurable in principle. A 2024 peer-reviewed paper introduced the discipline of Generative Engine Optimization and demonstrated, through controlled testing, that specific content properties, cited statistics, quotations, and authoritative sourcing, change whether a source is cited inside a generated answer. Visibility inside an AI answer is not an abstraction; researchers have already shown it can be measured and moved. What does not exist is that measurement applied systematically to India's 7.83 crore registered enterprises, or to any representative sample drawn from them.

Why the metric does not exist yet, and what building one would take

Three practical reasons explain the gap. First, ownership: visibility inside AI answers spans commerce, IT, and consumer-protection policy at once, and does not sit inside any single ministry's existing mandate the way credit flow sits inside MSME and finance. Second, methodology: existing survey instruments, including the RIS study, were built around the pre-generative web, asking about websites and social pages rather than citation and recommendation inside a synthesized answer. Third, the object being measured is inherently unstable. A credit guarantee ceiling is a number set by policy and does not change until the policy changes. An AI system's answer to "who does this near me" can vary by prompt, by engine, and by week, which makes it a harder thing to certify in the way a registration count can be certified.

None of that makes the measurement impossible, and no public dataset yet measures AI-visibility across India's registered MSME base. Here is the shape a serious attempt would need: a sample stratified by state, sector, and enterprise size, drawn from the one asset India has already built at scale, the Udyam registry itself; a fixed set of realistic buyer prompts run consistently across the major answer engines; and a scoring method, following the citation-based approach the Generative Engine Optimization research established, for whether an enterprise is named, named correctly, and named ahead of comparable competitors. Run once, that would be a baseline. Run annually alongside the existing Udyam and credit-flow reporting, it would be the fifth data column next to registration, employment, GDP share, and exports.

Until a body with the standing to run that survey at national scale does so, the evidence supports this much and no more: the risk is named by government, the underlying construct is proven measurable by independent research, and the systematic national number does not exist. That absence is itself a finding, not a gap to paper over with an invented statistic.

Two true things that do not cancel out

Two things are true at once, and neither should be flattened into the other. The Indian state has built a genuinely capable measurement apparatus for MSME registration, credit, and trade, tracking rupees, percentages, and enterprise counts with real precision across the Udyam registry, CGTMSE, and GeM. And that same apparatus has no equivalent instrument for the question that increasingly decides whether a registered enterprise gets the customer in the first place: can it be found, described, and recommended by the systems buyers now use to search.

7.83 crore is a count of registrations, verified against the Ministry's own record, and it says something real about formalization. It says nothing, on its own, about how many of those enterprises a search engine or an AI assistant can currently locate, describe accurately, or choose to recommend. Conflating the two, treating registration as a proxy for visibility, is the mistake to avoid.

A national index does not exist yet. What does exist, and what any individual registered enterprise can act on today without waiting for a ministry to build a fifth column, is a measured read of its own current standing: the narrower, immediately useful version of the same question.

The evidence

Key findings, with their sources

Over 7.83 crore enterprises were registered on the Udyam Registration Portal and Udyam Assist Platform as of February 28, 2026, up from 0.79 crore at the end of FY22.

established Ministry of MSME, reply to Rajya Sabha, PIB Delhi, March 30, 2026.
Total employment recorded against Udyam-registered enterprises stood at 34.50 crore as of February 28, 2026; 1.37 lakh MSMEs (0.17% of the registered base) had shut down since 2020.

established Union MSME Minister Jitin Ram Manjhi, reply to Lok Sabha, reported by ET CFO.
MSMEs contribute around 30% of India's GDP and over 45% of the country's exports.

established Ministry of MSME, "Udyami Diwas-MSME Day 2025" press note, PIB Delhi, June 2025.
The Ministry of MSME Annual Report 2024-25 organizes its content into six chapters covering structure, registration, attached offices, schemes, targeted programs, and statutory obligations, with no chapter or metric on digital visibility or AI-answer presence.

established Ministry of MSME, Annual Report 2024-25, msme.gov.in (table of contents).
The Credit Guarantee Scheme ceiling was raised from Rs 5 crore to Rs 10 crore effective April 1, 2025, the Annual Guarantee Fee was cut to as low as 0.37% per year, and an RBI Master Direction dated February 9, 2026 bars collateral on MSE loans up to Rs 20 lakh; CGTMSE has crossed Rs 5 lakh crore in cumulative guarantees.

established Ministry of MSME / PIB Delhi, July 23, 2026; CGTMSE.
GeM crossed Rs 20 lakh crore in cumulative gross merchandise value across more than 3.78 crore orders ahead of its tenth anniversary; registered MSE sellers on the platform rose from 2,424 to 12.25 lakh.

established Government e-Marketplace data, reported by KNN India, August 8, 2026.
In an independent survey of 2,882 enterprises, only 19% of MSMEs reported having a website or web page, only 29% reported using social media for marketing, and only 18% were engaged in e-commerce.

established RIS (Research and Information System for Developing Countries), "MSME Digitalisation in India," funded by the Mastercard Center for Inclusive Growth, survey by Kantar, 2025-2026.
The Commerce Ministry told the Lok Sabha that AI-powered agentic shopping "poses challenges for retailers, particularly those not integrated with major e-commerce platforms, risking reduced visibility and market access."

established Minister of State for Commerce and Industry Jitin Prasada, Lok Sabha reply, reported by KNN India, December 9, 2025.
A peer-reviewed study demonstrated that specific content properties measurably change whether a source is cited inside a generated AI answer, establishing that answer-engine visibility is a measurable construct.

established Aggarwal et al., "GEO: Generative Engine Optimization," KDD 2024, arXiv:2311.09735 (peer-reviewed).
Industry monitoring has reported a far narrower AI-recommendation funnel than classic local search, near 1.2% of local businesses for ChatGPT versus roughly 35.9% for Google Local, but this figure is not India-specific and comes from industry-blog analysis rather than an audited primary study.

contested Industry analyses summarized via Entrepreneur.com / GoodfellasTech / PushLeads, 2026.

Calibration

What is proven, what is promising, what is unproven

Evidence tier	Tactics	What the evidence says
established	India's Udyam registration, employment, GDP-share, export-share, credit-guarantee, and GeM-procurement figures, all published to a precise rupee or percentage figure by the Ministry of MSME or its implementing bodies.	PIB Delhi press releases and Rajya Sabha/Lok Sabha replies (2026); Ministry of MSME Annual Report 2024-25; CGTMSE; GeM data via KNN India; RIS/Mastercard digitalisation survey (2025-2026); Aggarwal et al., KDD 2024.
emerging	AI-driven "agentic shopping" as a named policy risk to unintegrated small retailers, and the idea of a systematic, Udyam-scale AI-visibility measurement as a proposed but unbuilt fifth reporting column.	Commerce Ministry Lok Sabha reply, December 2025 (KNN India); no public dataset yet applies GEO-style citation measurement across the registered MSME base; the method described here is proposed, not run.
contested	The specific claim that generative answer engines recommend an order-of-magnitude fewer local businesses than classic local search.	Marketing-industry monitoring only, not India-specific, not yet corroborated by an audited academic or standards-body study.

Reference

Glossary

Udyam Registration Portal (URP): The government portal, launched July 1, 2020, where enterprises register under the MSME Development Act's revised investment-and-turnover classification. The system of record behind the 7.83 crore figure.
Udyam Assist Platform (UAP): A companion platform launched January 11, 2023 to formalize Informal Micro Enterprises (IMEs) that had not previously registered, expanding the Udyam count beyond URP alone.
CGTMSE: The Credit Guarantee Fund Trust for Micro and Small Enterprises, the body that administers the Credit Guarantee Scheme (CGS), tracked by government to the rupee threshold and the basis point.
GeM (Government e-Marketplace): India's public-procurement platform for government purchases from registered sellers, including MSEs; reports its own gross merchandise value and seller counts with high precision.
Agentic shopping: Online shopping in which an AI agent searches for items, compares them, and completes a purchase with minimal manual input from the buyer, named by the Commerce Ministry as a visibility risk for unintegrated retailers.
Machine-Readiness Score: A specialist-reviewed diagnostic read of where a specific business currently stands across search, the local map pack, AI answers, and reputation. Built for the individual-business version of the question this article shows no national index yet answers.

Straight answers

Frequently asked questions

How many MSMEs are registered in India as of 2026?

Over 7.83 crore enterprises were registered on the Udyam Registration Portal and Udyam Assist Platform as of February 28, 2026, according to the Ministry of MSME's reply to the Rajya Sabha, up from 0.79 crore at the end of FY22.

Does the Indian government track whether MSMEs can be found online or by AI systems?

Not systematically. The Ministry of MSME's Annual Report and its Rajya Sabha and Lok Sabha replies track registration, employment, GDP share, exports, and credit flow with precision, but no chapter or recurring survey measures digital visibility or AI-answer presence. The closest available data is a one-time independent survey (RIS, funded by the Mastercard Center for Inclusive Growth) that measured website and social-media adoption, not AI visibility specifically.

What percentage of Indian MSMEs have a website?

An independent survey of 2,882 enterprises, conducted by Kantar for the Research and Information System for Developing Countries (RIS), found that only 19 percent of surveyed MSMEs reported having a website or web page, and only 29 percent used social media for marketing.

Has the government acknowledged AI-driven visibility risk for small businesses?

Yes. In a December 2025 Lok Sabha reply, the Commerce Ministry stated that AI-powered agentic shopping "poses challenges for retailers, particularly those not integrated with major e-commerce platforms, risking reduced visibility and market access." It cited the India AI Mission and ONDC as responses, but no measurement of current visibility accompanied the statement.

Is AI-answer visibility actually measurable?

In principle, yes. A 2024 peer-reviewed study (Aggarwal et al., KDD 2024) showed that specific content properties measurably change whether a source is cited inside a generated AI answer. What does not yet exist is that kind of measurement applied systematically to India's registered MSME base; no public dataset covers it at national scale.

If there is no national visibility index, how can an individual business know where it stands?

A business does not need to wait for a national index to get a read on itself. A Machine-Readiness Score is a specialist-reviewed diagnostic of where one specific business currently stands across search, the local map pack, AI answers, and reputation, which is the narrower, already-answerable version of the question this article shows no government report answers at scale.

Provenance

Sources

Ministry of MSME, reply to Rajya Sabha ("Over 7.83 crore enterprises registered on Udyam Registration Portal (URP)"), PIB Delhi, March 30, 2026 (established)pib.gov.in
"7.83 crore MSMEs register on Udyam portal, create 34.50 crore jobs: Minister", ET CFO / Economic Times, citing Lok Sabha reply (established)cfo.economictimes.indiatimes.com
Ministry of MSME, "Udyami Diwas-MSME Day 2025" press note, PIB Delhi, June 2025 (established)pib.gov.in
Ministry of MSME, Annual Report 2024-25, msme.gov.in (established)msme.gov.in
Ministry of MSME, "Ministry of MSME implements the Credit Guarantee Scheme (CGS) for Micro and Small Enterprises (MSEs)", PIB Delhi, July 23, 2026 (established)pib.gov.in
CGTMSE, "Rs. 5 lakh Crore is the new beginning for CGTMSE" (established)cgtmse.in
"GeM Crosses Rs 20 Lakh Crore In Cumulative Public Procurement Ahead Of 10th Anniversary", KNN India, August 8, 2026 (established)knnindia.co.in
"97% Of India's Rural Enterprises Are Nano Units: TRI Report" (Transform Rural India, with IDinsight), KNN India, August 8, 2026 (established)knnindia.co.in
Pankaj Vashisht / RIS (Research and Information System for Developing Countries), "MSME Digitalisation in India: Current Status and Challenges", funded by the Mastercard Center for Inclusive Growth, field survey by Kantar (2,882 enterprises), 2025-2026 (established)ris.org.in
"Commerce Ministry Highlights Measures To Protect MSMEs In AI-Powered Agentic Shopping Era", KNN India, December 9, 2025 (established)knnindia.co.in
Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024, arXiv:2311.09735 (peer-reviewed, established)arxiv.org
Pew Research Center, "Do people click on links in Google AI summaries?", July 2025 (established)pewresearch.org
Industry analyses of answer-engine local recommendation rates, summarized via Entrepreneur.com / GoodfellasTech / PushLeads, 2026 (contested, industry-estimate tier)

Every figure above is attributed to a real, dated source and tagged with its evidence tier. Where a claim could not be verified to a primary source, it is not stated as fact.