Healthcare and Life Science industries are increasingly relying on digital ecosystems, with increasing penetration of IoTs, telemedicine platforms, clinical trial data and advanced manufacturing systems, leading to a complex infrastructure that requires a secure and adaptive network that intelligently handles sensitive data while ensuring client data safety as well as compliance with regulations.

Globally, the integration of AI into healthcare and life sciences networks is accelerating. The healthcare AI market in India alone is projected to grow from USD 0.89 billion in 2023 to nearly USD 7 billion by 2035, at a CAGR of 17%. On a broader scale, AI-enabled networking is helping reduce drug discovery timelines by up to 50%, while enabling real-time teleconsultations. India’s eSanjeevani platform has already facilitated over 350 million consultations and linked more than 520 million health records. These figures underline both the opportunity and urgency of building resilient, AI-native infrastructures.

AI-native networking is not restricted to connectivity, rather, it reimagines the entire infrastructure, inducing intelligence to the network. It brings predictive analytics, self-healing operations, zero-trust security and workload prioritization, ensuring critical processes continue uninterrupted, compliant and efficient. The impact is significant, leading to faster care, reliable data flow, safer experience and reduced downtime.