Life sciences manufacturers around the world, including in India, are increasingly embracing smart manufacturing technologies to navigate the growing complexity of global supply chains, evolving regulations, and workforce shortages. According to Rockwell Automation’s 10th annual “State of Smart Manufacturing: Life Sciences Edition” report, 95% of life sciences manufacturers are either using or evaluating smart technologies like AI, automation, and digital twins to scale operations and ensure resilience.
AI adoption expands beyond early use cases
AI is no longer an experimental add-on. It is being used by life sciences firms to drive product quality (53%), enhance operational efficiency (50%), and strengthen cybersecurity (48%). With hiring skilled talent still a major barrier—cited by 26% of respondents—AI is helping bridge talent gaps by supporting existing teams and automating critical functions. Nearly half of surveyed firms said they now rely on AI and automation to address these challenges.
The report also found that 36% of companies are investing in emerging tools like generative and causal AI, while 35% are exploring digital twins and simulation models to accelerate innovation and optimise operations.
Indian sector aligns with global digital transformation
The Indian life sciences sector is undergoing a similar transformation, driven by rising demand, global tariff pressures, and the dual need for patient-focused innovation and operational agility. Rockwell Automation notes that Indian firms are looking beyond immediate ROI to build digital infrastructure that supports long-term capacity expansion and regulatory compliance.
This aligns with a broader trend across India’s healthcare and manufacturing segments, where technology is no longer optional but essential to maintaining global competitiveness.
Unlocking value from data remains a challenge
Despite vast volumes of data being collected by manufacturers, only 46% reported being able to use it effectively. This gap, the report says, highlights the urgent need for scalable digital systems that can turn insights into real-time decisions. As life sciences manufacturers continue to digitise, the ability to convert raw data into actionable intelligence will be central to their success.
