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43 percent of organisations reach advanced people analytics maturity, embedding workforce insights into business decisions: Deloitte India

  • Technology and ITeS organisations continue to lead people analytics maturity, while the manufacturing, retail and industrial sectors present significant growth opportunities
  • Business alignment has emerged as the fastest-improving people analytics maturity dimension since 2022, reflecting the growing role of workforce data in shaping business outcomes
  • More than 70 percent of organisations continue to rely on static reporting approaches, highlighting opportunities to strengthen insight adoption and decision-making

Delhi, 29 July 2026: As AI reshapes how organisations operate, compete and create value, Deloitte’s Future of Work and People Analytics Maturity – The Indian Story report highlights how Indian businesses are accelerating workforce transformation through AI-enabled and data-driven workforce strategies. Over half of the Indian organisations have started integrating AI into HR and work processes, while more than 60 percent report a visible shift from task-based roles towards roles requiring problem-solving and creativity. Workforce models are also becoming more agile, with around 80 percent of organisations strengthening workforce planning and contingent talent strategies, 76 percent actively identifying future skill gaps and 81 percent investing in employee experience, career development and well-being initiatives to build a more resilient and future-ready workforce.

Based on insights from over 85 organisations across India, the report assesses how businesses are using people analytics to support workforce transformation and business decision-making. The findings show that 43 percent of organisations now operate at advanced maturity levels; however, gaps remain across data infrastructure, analytics capability and governance, while more than 70 percent continue to rely on static reporting approaches, highlighting significant opportunities to strengthen people analytics maturity. The findings also highlight significant variation across sectors, with Technology and ITeS organisations leading in maturity, while manufacturing, retail, and industrial sectors continue to present substantial opportunities for growth.

“India is well-positioned to lead the next phase of AI-enabled workforce transformation, supported by its strong digital ecosystem, deep talent pool and growing adoption of data-driven technologies. The real differentiator, however, will be how effectively organisations use data and insights to reimagine work, develop future-ready skills and build agile workforce models. As people analytics matures, its role will increasingly shift from measuring outcomes to shaping them, enabling organisations to anticipate change, accelerate learning and make workforce decisions with greater confidence. Organisations that successfully combine AI-enabled insights with strong data foundations and human-centric workforce strategies will set the benchmark for workforce resilience and business performance in the years ahead,” 

Nitin Razdan, Partner and Human Capital Consulting Leader, Deloitte South Asia. 

The findings reinforce the idea that technology and workforce transformation cannot be viewed separately. As organisations adapt to new ways of working, they are reimagining talent, skills and the employee experience to create more agile, future-ready enterprises.

The report identifies six key themes that will define the future of work in India:

HR as a strategic workforce architect: As AI transforms every aspect of work, HR is evolving beyond its traditional role to become a strategic workforce architect. People analytics is at the heart of this shift, enabling data-driven talent decisions that align workforce strategies with business priorities. From improving workforce decision-making objectivity to enabling AI-driven workforce innovation, people analytics delivers value at every stage of maturity.

Building the foundations of people analytics maturity: Organisations can realise meaningful benefits from people analytics at any maturity level, but success depends on strong data foundations. Structured workforce data, high data quality and unified, enriched people data platforms are essential to unlocking its full potential.

Advancing in step with AI innovation: The evolution of AI, from traditional analytics and machine learning to GenAI and Agentic AI, is reshaping how organisations operate and make decisions. To remain effective and competitive, HR functions must continuously adopt and integrate emerging AI capabilities, ensuring workforce decisions keep pace with technological advancements and future disruptions.

Making talent processes more proactive: People analytics has the potential to transform talent management across work, workforce and workplace dimensions. By delivering actionable and predictive intelligence, it enables proactive decision-making across recruitment, onboarding, performance management, succession planning, workforce planning and reskilling, improving talent outcomes and organisational resilience.

Employee well-being as a strategic imperative: The value of people analytics extends beyond operational efficiency and talent management. When used effectively, workforce data can help organisations enhance employee well-being, engagement, trust, and overall employee experience. By supporting both emotional and physical well-being, organisations can create more productive, resilient, and high-performing workforces.

Accelerating the shift to skills-based organisations: As organisations globally are shifting from job-based to skills-based models, Indian organisations must also accelerate this transition to stay competitive in the age of AI and automation. By using AI and GenAI within people analytics, organisations can identify emerging skill needs, address skill gaps and drive continuous upskilling and reskilling to build a future-ready workforce that supports sustainable growth in a dynamic labour market.

About the Survey 

The Future of Work and People Analytics Maturity – The Indian Story (2026) is the third edition of Deloitte India’s People Analytics Maturity study. It is based on insights gathered from more than 85 organisations across key industries in India. The report examines how organisations are responding to the evolving nature of work, the workforce and the workplace in an increasingly AI-driven environment. It assesses the maturity of people analytics capabilities across four levels using a structured framework that covers six dimensions: people analytics team capability, alignment with business, user engagement, data infrastructure, data culture and data governance. The study aims to understand how organisations in India are using workforce data, analytics and emerging AI technologies to support business decision-making and enable future-of-work transformation.