Unified national framework
A dynamic, regularly updatable methodology to assess skill shortages at the sector level and skill gaps at the worker level — for MSDE, Sector Skill Councils, and State Skill Development Missions.

Lakshya hosts the MSDE–NCAER National Skill Gap Study for High Growth Sectors — a SANKALP-era blueprint for anticipating shortages, mapping seven priority industries, and forecasting jobs through 2026–27.
Featured report
Ministry of Skill Development & Entrepreneurship (MSDE) · NCAER · Version 1, 2025
Download PDF7
High-growth sectors mapped
2,821lakh
Projected direct jobs by 2026–27
191
Stakeholder interviews
2026–27
Employment forecast horizon
National Council of Applied Economic Research (NCAER) in collaboration with MSDE. Conducted under the SANKALP programme, the study packages a seven-part methodology that states and Sector Skill Councils can reuse — built on one clarifying distinction.
Hard-to-fill vacancies — employer demand for a role outpaces the supply of qualified people in the market. Measured at the sector level.
Incumbent workers lacking the competencies their current role now requires. Measured at the worker level, against NSQF job roles.
A dynamic, regularly updatable methodology to assess skill shortages at the sector level and skill gaps at the worker level — for MSDE, Sector Skill Councils, and State Skill Development Missions.
Selected using GVA shares, employment multipliers, sunrise-sector signals, and policy inputs — spanning farms to IT programming.
Scenario 1 (past growth rates) direct-job projections for 2026–27, in lakh jobs, ranked by scale — useful for pathway and financing prioritisation on Lakshya.
Agriculture
2,066lakh
Growing of cereals (including rice), leguminous crops and oil seeds
Retail & mobility services
400lakh
Specialised retail (food, clothing, footwear, leather) and motor vehicle repair
Animal husbandry
259lakh
Includes sector chapters, technology-impact tables, cluster maps, stakeholder survey findings, and the standalone “Methodology for Assessing Skill Shortages and Gaps” guide for policymakers.
Combines input–output modelling, PLFS/ASI/ASUSE data, geographic cluster mapping, and 191 stakeholder interviews across ministries, SSCs, industry, and training centres.
Direct and indirect employment projections under growth scenarios (historical trends and IMF-based), with occupation-level demand and technology-impact mapping.
Frames demand around cognitive skills, TVET (technical–vocational), and social–behavioural competencies — aligned to NSQF job roles and qualification packs.
Maps female workforce participation potential and top geographic clusters per sector to guide localised training and placement design.
Raising of cattle and buffaloes
Information technology
44lakh
Computer programming activities
Textiles
26lakh
Weaving of textiles
Automotive
25lakh
Manufacturing of motor vehicles, parts & components
Green energy
1.3lakh
Electric power generation — solar & other non-conventional sources
Source: Table ES.1, NCAER computations (Scenario 1 — past growth rates). Bars are scaled relative to the largest sector. Retail and auto repair are modelled together in the original study where noted.