AI-enabled skill demand in India’s CDMO sector has surged 178% over the past two years, rising from 6.2% in 2023 to 17.2% in 2025, with technology and digital roles leading at about 38%, signaling a broad shift toward AI-driven capability.

AI-led skills are expanding beyond tech into core functions like research and development, quality, and analytics, driving a more integrated AI capability across the organization.

Overall sector hiring rose by about half from 2023 to 2025, with AI-linked demand increasing from 6.2% to 17.2% in 2025, underscoring rapid momentum in AI-driven hiring.

Geographic concentration limits talent access, with more than 60% of CDMO professionals in a few states (Maharashtra, Gujarat, Telangana), while hubs like Tamil Nadu, Andhra Pradesh, and the NCR lag.

Attrition is expected to be high, at 25–30%, particularly in mid-career quality and R&D roles, with 4,000–6,000 returning global professionals anticipated between 2026 and 2028 to bridge capability gaps.

Manufacturing and operations remain the largest segment with 1,820 roles in 2025, but growth is modest at about 8% year over year as the function shifts toward automation, planning accuracy, and quality predictability.

The same manufacturing and operations segment shows slow growth, reflecting a move from labour-intensive work to automation-driven efficiency and improved quality outcomes.

Forecasts project 45,000–60,000 new CDMO roles in India by 2028–29 due to global shifts and China+1 strategies, with persistent gaps in bioprocessing training (less than 8% of pharma graduates) creating a multi-year readiness gap.

Specialized talent is expected to rise, with tech-transfer specialists projected to comprise 3–5% of the workforce by 2028, highlighting increasing operational complexity.

Hiring is shifting toward automation, planning accuracy, and quality predictability amid capacity expansion and rising program complexity, signaling a move away from traditional labour-intensive roles.

The talent shift is driving hybrid roles that blend domain expertise with digital and analytics capabilities, signaling a broader transformation of the CDMO model.