The recent Skill Gap Assessment Report provides a concise, implementation-focused overview of India’s textile and apparel sector workforce. It combines demand projections based on PLFS data (2017–18 and 2023–24) and scenario modelling with a detailed supply-side review of formal education, TVET/ITIs, major government schemes (SAMARTH, PMKVY, NTTM), research institutes, and industry training. The study identifies structural challenges and maps 20 core gaps to concrete recommendations with owners, resources, KPIs, and mitigation measures.
Demand-Side Projections
The sector currently employs approximately 45.7 million people, of which roughly 94% (≈42.9 million) are in the unorganised segment and only about 6% (≈2.8 million) in the organised sector. The garment/apparel segment is the largest single employer at around 12.9 million workers.
Under the market-size and productivity Scenario 1 (with inflation and moderate productivity gains), total employment is projected to rise to approximately 65.6–67.8 million by 2029–30. This creates an incremental demand of roughly 20–22 million workers relative to 2023–24 levels. Key projected shifts include:
- Manufacturing expanding significantly to about 32.8 million, driven by ready-made garments (RMG), technical textiles, and man-made fibres.
- E-commerce textile employment rising sharply to ≈12.2 million, reflecting platform growth, warehousing, last-mile logistics, and digital merchandising.
- Primary sector employment declining marginally to ~10.6 million as productivity and mechanisation offset area changes, with sericulture as a bright spot.
Strong growth potential is noted in man-made fibres (+41% CAGR), textile printing (+26% CAGR), and technical textiles. Traditional segments such as spinning, certain finishing operations, carpets/rugs, and some fibre crops are contracting. Female participation in manufacturing rose from 36% to 58% between 2017–18 and 2023–24. Informal employment forms (own-account workers and helpers) remain dominant. Industry surveys indicate attrition of 10–20%, and parts of the workforce are ageing (4% over 60 years), generating replacement needs.
The shift toward higher-value, technology-driven, and digital channels creates substantial employment opportunities but also widens skills gaps in technical operations, machine handling, quality control, digital marketing, cataloguing, and supply-chain roles. High informality and weak social protection pose risks to worker welfare and retention. Regional differentiation is required because the primary sector is concentrated in a few states while manufacturing and trade are more dispersed.
Supply-Side Analysis
India offers structured academic programmes in textile engineering, fashion technology, fibre science, apparel production, and design through AICTE-approved colleges, NIFT, NID, universities, and polytechnics. Overall enrolment stands at only 31% of capacity, with postgraduate and diploma courses particularly under-utilised. Premier institutes such as NIFT and NID record strong placement rates (85–90%) and are expanding focus on sustainable and technical textiles.
Textile Research Associations (SITRA, ATIRA, BTRA, WRA, IJIRA, NITRA) deliver specialised short- and long-term courses on technical skills and innovations, though outreach is largely limited to industrial clusters.
Government schemes show mixed outcomes:
- Sector Skill Councils assessed approximately 2.2 lakh candidates (2022–25) across 54 job roles, but placement rates remain low (≈5%).
- SAMARTH has trained 3.8 lakh people since 2017, achieving placement rates of 80–87% (especially in garment manufacturing), with women comprising 88% of trainees.
- PMKVY has trained about 20.3 lakh candidates since 2015, with certification rates around 70%; demand has shifted from traditional weaving toward sewing machine operation and garment manufacturing.
- ITIs offer roughly 84,000 seats annually in textile-related trades. Utilisation improved from 50% (2019) to 57% (2022), with strong demand for sewing, embroidery, and fashion technology but very low uptake in weaving-related courses.
- NTTM (outlay ₹1,480 crore) targets 50,000 trainees in specialised applications such as Meditech, Agrotech, and Mobiltech.
- ATDC operates the largest apparel vocational training network with placement-linked programmes under SAMARTH and other schemes.
Women dominate skill-training enrolment (92% in apparel, 82% in textiles, and 91% in handicrafts) but remain concentrated in low-paying, labour-intensive roles, with limited representation in technical and machinery-oriented occupations.
Incremental supply of trained workforce is projected under two scenarios:
- Scenario I (past trends): 6.0 million by 2030, 10 million by 2035, and 28 million by 2047.
- Scenario II (recent trends): 6.9 million by 2030, 12.7 million by 2035, and 63 million by 2047.
The skilling ecosystem is strong in apparel, moderate in handicrafts, and weak in core textile processes such as spinning and weaving. Technical textiles and digital/e-commerce roles remain under-represented in current supply.
Skill Gap and Emerging Roles
The skill gap is calculated by comparing projected supply of trained professionals with demand. For the manufacturing segment, the figures are:
| Details | 2024 | 2030 | 2035 | 2047 |
| Supply of trained workforce (mn) | 0.9 | 6 | 10 | 28 |
| Demand (mn) | 45.7 | 66.1 | 83.2 | 148.5 |
Roles expected to grow include Textile CAD Operator, Export Executive, and Quality Control Assistants. Artificial intelligence is transforming the industry through automation and robotics (precision cutting, stitching, dyeing, and real-time inspection systems such as WiseEye), data-driven design and customisation, AI-powered quality control and defect detection, supply-chain optimisation, and sustainability applications (waste reduction, circular economy practices, and predictive maintenance). These advances increase demand for digitally capable supervisors and technicians and support the development of smart textiles with adaptive properties.
Global Practices and Adaptation Pathways
Comparative analysis of China, Vietnam, Bangladesh, and Turkey points to four high-leverage approaches that India can adapt:
- A dual vocational model with structured factory internships (Turkey) to produce job-ready mid-skill talent.
- Buyer-co-funded factory training (Vietnam and Bangladesh) to lock in export linkages, compliance, and productivity skills.
- Industrial-policy alignment so that parks and PLI/PM MITRA incentives drive targeted upskilling in technical textiles and automation (China).
- Donor/NGO coalitions to scale women-centric and green-transition programmes (Bangladesh).
Recommendations and Operational Next Steps
Twenty core gaps have been mapped to specific recommendations. These cover making ITIs demand-driven through seat reallocation, evening batches, and modular courses; scaling recognition of prior learning, assessor capacity, and mobile assessment units; standardising on-the-job training with role-wise lesson plans and mentor certification; deploying Mobile Training Units and micro-hubs for MSMEs and informal units; introducing bridge courses and career pathways for upward mobility; Supervisor Excellence programmes and district digital labs; curriculum modernisation embedding Industry 4.0, green skills, and technical-textile modules; women-centric delivery with flexible timings, childcare, and safe transport; District Placement Cells and live vacancy portals; Train-the-Trainer cascades and industry secondments; mandatory health-and-safety modules with PPE support; digital cataloguing hubs and entrepreneurship training for artisans; regional Centres of Excellence with industry co-designed bootcamps; a unified MIS across PMKVY, SAMARTH, NAPS, and state portals; an MSME upskilling finance facility with fiscal incentives; modular and stackable credentials matched to seasonality; employer incentives including wage reimbursement and preferential procurement; micro-hubs and transport stipends to improve women’s mobility; post-placement refresher vouchers and micro-learning tools; and alumni tracking with tracer studies and impact evaluations.
Each recommendation specifies responsible agencies (primarily MoT, MSDE, SSCs, NSDC, State Directorates, industry associations, and NGOs), indicative timelines, resource drivers, measurable KPIs (examples include ITI textile seat utilisation ≥80%, certification rate ≥60%, placement rate ≥70%, and six-month retention ≥60%), and risk-mitigation measures.
In short, the study delivers a pragmatic blueprint: scale demand-aligned, modular, and industry-integrated skilling; formalise and retain the workforce through better placement and social protection; and orient India’s textile and apparel workforce toward higher-value, sustainable growth while ensuring wide geographic and gender inclusion.
