Skip to main content
Loading page, please wait…
HomeCurrent AffairsEditorialsGovt SchemesLearning ResourcesUPSC SyllabusPricingAboutBest UPSC AIUPSC AI ToolAI for UPSCUPSC ChatGPT

© 2026 Vaidra. All rights reserved.

PrivacyTerms
Vaidra Logo
Vaidra

Top 4 items + smart groups

UPSC GPT
New
Current Affairs
Daily Solutions
Daily Puzzle
Mains Evaluator

Version 2.0.0 • Built with ❤️ for UPSC aspirants

GeM Crosses ₹18.4 Lakh Crore GMV, Boosts MSE & Women‑Led Participation in Public Procurement — UPSC Current Affairs | April 6, 2026
GeM Crosses ₹18.4 Lakh Crore GMV, Boosts MSE & Women‑Led Participation in Public Procurement
The Government e Marketplace (GeM) has crossed a cumulative GMV of ₹18.4 lakh crore, with FY 2025‑26 alone contributing over ₹5 lakh crore. Robust participation from MSEs, women‑led firms, SC/ST enterprises and start‑ups—driven by AI/ML‑enabled transparency—signals a more inclusive and efficient public‑procurement ecosystem, a key focus area for UPSC economics and governance studies.
Overview The GeM has recorded a cumulative GMV of ₹18.4 lakh crore , surpassing the ₹5 lakh crore mark in FY 2025‑26. The platform is being positioned as a cornerstone of India’s digital public‑procurement ecosystem, aiming to make government spending more transparent, inclusive and technology‑driven. Key Developments (FY 2025‑26) 68% of total orders were placed by MSEs , contributing 47.1% of GMV . More than 11 lakh MSEs registered, receiving 51 lakh orders worth ₹2.36 lakh crore – a >20% rise YoY. Women‑led MSEs (over 2.1 lakh) secured orders exceeding ₹28,000 crore , registering ~28% growth. SC/ST‑owned MSEs obtained orders worth > ₹6,000 crore , also a ~28% increase. Start‑ups earned orders of > ₹19,000 crore , marking >36% growth. State and Union Territory procurement grew by 38.3% , reflecting deeper regional penetration. Technology‑Driven Enhancements GeM leverages AI and ML to improve transparency and efficiency. Notable interventions include: ML‑based catalogue validation and pre‑sanity checks to curb data errors. Real‑time analytics for transaction monitoring, pricing anomalies, and collusive bidding detection. System‑generated Bid Health Scores that aid buyers in selecting trustworthy sellers. Important Facts at a Glance Cumulative GMV: ₹18.4 lakh crore. FY 2025‑26 GMV: >₹5 lakh crore. MSE participation: 68% of orders, 47.1% of GMV. Women‑led MSE orders: ₹28,000 crore (+28%). SC/ST MSE orders: >₹6,000 crore (+28%). Start‑up orders: >₹19,000 crore (+36%). State/UT procurement growth: 38.3% YoY. Key technology tools: AI, ML, real‑time analytics, Bid Health Scores. UPSC Relevance Understanding GeM is vital for GS III (Economy & Development) as it illustrates how digital platforms can enhance public‑sector efficiency, promote inclusive growth, and curb corruption. The platform’s focus on MSEs , women entrepreneurs, and SC/ST enterprises aligns with the government’s “Make in India” and “Atmanirbhar Bharat” objectives. Moreover, the use of AI and ML showcases the role of technology in governance, a recurring theme in ethics and public administration questions. Way Forward To sustain momentum, GeM could: Integrate more granular sustainability metrics to promote green procurement. Expand capacity‑building programmes for MSEs, especially in Tier‑2/3 states, to bridge digital literacy gaps. Enhance interoperability with state‑level e‑procurement portals for seamless data exchange. Strengthen AI‑driven fraud‑prevention modules, ensuring privacy and data security. Continued adoption by CPSEs and state governments will further embed GeM as the backbone of India’s transparent public‑spending architecture.
  1. Home
  2. Prepare
  3. Current Affairs
  4. GeM Crosses ₹18.4 Lakh Crore GMV, Boosts MSE & Women‑Led Participation in Public Procurement
Login to bookmark articles
Login to mark articles as complete

Overview

gs.gs376% UPSC Relevance

GeM’s ₹18.4 Lakh Crore GMV Drives Inclusive, Transparent Public Procurement

Key Facts

  1. Cumulative GMV on GeM reached ₹18.4 lakh crore as of FY 2025‑26.
  2. FY 2025‑26 alone recorded >₹5 lakh crore GMV on the platform.
  3. 68% of total orders were placed by Micro & Small Enterprises (MSEs), contributing 47.1% of GMV.
  4. More than 11 lakh MSEs registered, receiving 51 lakh orders worth ₹2.36 lakh crore – a >20% YoY rise.
  5. Women‑led MSEs (≈2.1 lakh) secured orders exceeding ₹28,000 crore, registering ~28% growth.
  6. SC/ST‑owned MSEs obtained orders >₹6,000 crore, also a ~28% increase.
  7. State/UT procurement on GeM grew 38.3% YoY, aided by AI‑ML driven analytics and Bid Health Scores.

Background & Context

GeM, launched under the Ministry of Commerce & Industry, is a digital public‑procurement platform aimed at enhancing transparency, efficiency and inclusivity in government spending. Its rapid GMV growth aligns with the ‘Make in India’ and ‘Atmanirbhar Bharat’ agendas, while AI‑ML tools help curb corruption and promote data‑driven decision‑making, key themes in GS‑III and ethics modules.

UPSC Syllabus Connections

Essay•Economy, Development and InequalityEssay•Democracy, Governance and Public AdministrationGS2•Issues relating to Health, Education, Human ResourcesGS4•Dimensions of ethics - private and public relationshipsEssay•Youth, Health and WelfarePrelims_GS•Sustainable Development and InclusionEssay•Media, Communication and InformationGS3•Inclusive Growth and issues arising from itGS2•Governance, transparency, accountability and e-governancePrelims_GS•Science and Technology Applications

Mains Answer Angle

In a GS‑III answer, discuss how GeM exemplifies digital governance that boosts MSME participation, gender equity and fiscal transparency, and evaluate challenges such as digital divide and data privacy. Possible question: ‘Assess the impact of digital public‑procurement platforms on inclusive growth and good governance.’

Full Article

<h2>Overview</h2> <p>The <span class="key-term" data-definition="Government e Marketplace — an online platform launched by the Ministry of Commerce & Industry for transparent, efficient public procurement across central and state governments (GS3: Economy)">GeM</span> has recorded a cumulative <span class="key-term" data-definition="Gross Merchandise Value — total value of all orders processed on a marketplace, indicating the scale of transactions (GS3: Economy)">GMV</span> of <strong>₹18.4 lakh crore</strong>, surpassing the <strong>₹5 lakh crore</strong> mark in FY 2025‑26. The platform is being positioned as a cornerstone of India’s digital public‑procurement ecosystem, aiming to make government spending more transparent, inclusive and technology‑driven.</p> <h3>Key Developments (FY 2025‑26)</h3> <ul> <li>68% of total orders were placed by <span class="key-term" data-definition="Micro and Small Enterprises — businesses with investment up to ₹10 crore and turnover up to ₹50 crore, crucial for inclusive growth and employment (GS3: Economy)">MSEs</span>, contributing <strong>47.1% of GMV</strong>.</li> <li>More than <strong>11 lakh MSEs</strong> registered, receiving <strong>51 lakh orders worth ₹2.36 lakh crore</strong> – a >20% rise YoY.</li> <li>Women‑led MSEs (over 2.1 lakh) secured orders exceeding <strong>₹28,000 crore</strong>, registering ~28% growth.</li> <li>SC/ST‑owned MSEs obtained orders worth > <strong>₹6,000 crore</strong>, also a ~28% increase.</li> <li>Start‑ups earned orders of > <strong>₹19,000 crore</strong>, marking >36% growth.</li> <li>State and Union Territory procurement grew by <strong>38.3%</strong>, reflecting deeper regional penetration.</li> </ul> <h3>Technology‑Driven Enhancements</h3> <p>GeM leverages <span class="key-term" data-definition="Artificial Intelligence — computer systems that perform tasks requiring human intelligence, used in GeM for fraud detection and analytics (GS3: Economy)">AI</span> and <span class="key-term" data-definition="Machine Learning — a subset of AI where algorithms improve from data, applied in GeM for catalogue validation and anomaly detection (GS3: Economy)">ML</span> to improve transparency and efficiency. Notable interventions include:</p> <ul> <li>ML‑based catalogue validation and pre‑sanity checks to curb data errors.</li> <li>Real‑time analytics for transaction monitoring, pricing anomalies, and collusive bidding detection.</li> <li>System‑generated <span class="key-term" data-definition="Bid Health Scores — a data‑driven metric that assesses the reliability and compliance of bidders, enhancing decision‑making in public procurement (GS3: Economy)">Bid Health Scores</span> that aid buyers in selecting trustworthy sellers.</li> </ul> <h3>Important Facts at a Glance</h3> <ul> <li><strong>Cumulative GMV:</strong> ₹18.4 lakh crore.</li> <li><strong>FY 2025‑26 GMV:</strong> >₹5 lakh crore.</li> <li><strong>MSE participation:</strong> 68% of orders, 47.1% of GMV.</li> <li><strong>Women‑led MSE orders:</strong> ₹28,000 crore (+28%).</li> <li><strong>SC/ST MSE orders:</strong> >₹6,000 crore (+28%).</li> <li><strong>Start‑up orders:</strong> >₹19,000 crore (+36%).</li> <li><strong>State/UT procurement growth:</strong> 38.3% YoY.</li> <li><strong>Key technology tools:</strong> AI, ML, real‑time analytics, Bid Health Scores.</li> </ul> <h3>UPSC Relevance</h3> <p>Understanding GeM is vital for GS III (Economy & Development) as it illustrates how digital platforms can enhance public‑sector efficiency, promote inclusive growth, and curb corruption. The platform’s focus on <span class="key-term" data-definition="Micro and Small Enterprises — businesses with investment up to ₹10 crore and turnover up to ₹50 crore, crucial for inclusive growth and employment (GS3: Economy)">MSEs</span>, women entrepreneurs, and SC/ST enterprises aligns with the government’s “Make in India” and “Atmanirbhar Bharat” objectives. Moreover, the use of <span class="key-term" data-definition="Artificial Intelligence — computer systems that perform tasks requiring human intelligence, used in GeM for fraud detection and analytics (GS3: Economy)">AI</span> and <span class="key-term" data-definition="Machine Learning — a subset of AI where algorithms improve from data, applied in GeM for catalogue validation and anomaly detection (GS3: Economy)">ML</span> showcases the role of technology in governance, a recurring theme in ethics and public administration questions.</p> <h3>Way Forward</h3> <p>To sustain momentum, GeM could:</p> <ul> <li>Integrate more granular sustainability metrics to promote green procurement.</li> <li>Expand capacity‑building programmes for MSEs, especially in Tier‑2/3 states, to bridge digital literacy gaps.</li> <li>Enhance interoperability with state‑level e‑procurement portals for seamless data exchange.</li> <li>Strengthen AI‑driven fraud‑prevention modules, ensuring privacy and data security.</li> </ul> <p>Continued adoption by <span class="key-term" data-definition="Central Public Sector Enterprises — government‑owned corporations that undertake commercial activities, participating in GeM procurement (GS3: Economy)">CPSEs</span> and state governments will further embed GeM as the backbone of India’s transparent public‑spending architecture.</p>
Read Original on pib

Analysis

Practice Questions

GS1
Easy
Prelims MCQ

Digital public procurement

1 marks
5 keywords
GS3
Medium
Mains Short Answer

MSME & women entrepreneurship

5 marks
5 keywords
GS3
Hard
Mains Essay

Technology in governance

20 marks
7 keywords
Related:Daily•Weekly

Loading related articles...

Loading related articles...

Tip: Click articles above to read more from the same date, or use the back button to see all articles.

Explore:Current Affairs·Editorial Analysis·Govt Schemes·Study Materials·Previous Year Questions·UPSC GPT