Innovation in healthcare is accelerating and 2025 is set to see further growth for the sector driven by advancements in AI and personalised care, say experts.
With the market projected to surpass $200bn and a remarkable CAGR of 25 per cent, the industry is shifting from reactive treatments to proactive, preventive healthcare, said Gary Coffey, CTO at Spectrum.Life.
According to Coffey, a key driver of this transformation is the digitisation of fragmented care journeys, streamlining experiences such as referrals and mental health pathways through insurer-led digital platforms.
AI-powered tools are set to revolutionise diagnostics, treatment planning, and mental health support, delivering tailored interventions and actionable insights for emotional wellbeing,” said Coffey.
Wearable technology will play a pivotal role in managing chronic diseases, while the rise of unified digital health operating systems promises to centralise care management and enhance accessibility.
“By harnessing innovation and prioritising user-centric design, health-tech is redefining healthcare – creating efficient, seamless, and empowering solutions that transform how individuals manage their health and wellbeing.
Stacey Caywood, CEO of Wolters Kluwer Health, said that AI will have substantive influence in 2025 on healthcare workflows and workforce development.
“In 2024, we saw the healthtech sector really start to focus 2023’s AI excitement into tangible solutions that make clinicians’ workdays easier and more productive,” said Caywood.
“For example, transformative tech like a GenAI ambient listening scribe dramatically reduces administrative burdens. In 2025, look for more synergies and partnerships emerging between AI and complementary technologies that serve as a force multiplier for the potential of AI to drive efficiency in the clinical workflow, provide relief from burnout, and deliver value for health systems
“Amid staffing shortages, 2025 will see AI helping future clinicians get on a fast track to practice-readiness. Nursing education tools are being wholly rethought to leverage the capabilities of AI.
“For example, AI has the potential to boost nurses’ licensure prep so students learn from mistakes with smarter, more personalized reinforcement. Look for AI chatbots to transform virtual reality training by providing lifelike conversations with virtual patients. AI will also accelerate the development and adoption of clinical practice changes as hospital nursing leaders turn to AI to power the often-cumbersome process of updating nursing practice protocols.”
Jessica Rengstorf, director, Healthcare and Life Sciences Strategy at Endava, said: “As we approach 2025, artificial intelligence continues to drive transformative advancements in healthcare. This innovation is accelerating in three key areas.
“Wearable technology in healthcare is undergoing a significant transformation, powered by rapid advancements in AI and machine learning. While AI-powered platforms are already analysing continuous glucose monitor (CGM) data to predict glucose trends, the intricate integration of several data streams is the new frontier for 2025.
“Advanced AI algorithms are now combining CGM readings with real-time activity and stress metrics, enabling a more holistic approach to health monitoring. This integration makes it possible to provide individualised health advice that concurrently take stress reactions, physical activity and glucose levels into consideration, offering a more comprehensive view of overall health status.
“This multi-faceted approach represents an exciting leap in predictive healthcare, where AI can analyse data from various Internet of Medical Things (IoMT) devices to identify potential health issues and suggest proactive interventions before they escalate into critical events.
“For example, these technologies can now offer real-time insights to help patients manage their stress, exercise and food, giving them a more complete picture of their overall health. A significant advancement in predictive healthcare is represented by this multifaceted strategy, where AI can analyse data from several Internet of Medical Things (IoMT) devices to detect possible health problems and provide preventative measures before they become serious occurrences.
“Personalised patient care is set to improve significantly with the help of real-time health analytics, allowing for more proactive and tailored approaches to treatment.
“With access to continuous data from wearable devices and monitoring tools, healthcare providers will have insight into a more complete and dynamic picture of each patient’s health, helping them make better-informed decisions. AI-driven systems will process and distil this data, presenting only the most relevant and actionable insights to clinicians, ensuring they can focus on care rather than data management.
“In addition to better patient outcomes, healthcare providers will see a boost in efficiency. AI-driven insights will streamline workflows, distilling complex data into concise, actionable information that can be quickly integrated into patient consultations. When effectively integrated into workflows, this means clinicians can spend more time focusing on care, while AI handles data processing, trend identification and informed guidance. The result? A more efficient, personalised and proactive healthcare experience for both patients and providers.”
As well as AI, Nick Drouet, CTO at Kyndryl, said that 2025 will see further developments in shared technology and collaboration.
“In 2024, four major health systems announced they had come together to launch a new company dedicated to tackling the industry’s biggest challenges. This trend will grow in 2025, as healthcare systems seeking to benefit from shared technology investment and innovation look for more opportunities to collaborate rather than consolidate,” said Kyndryl.
“Health systems will explore new avenues for partnership and build strategic alliances that aim to overcome the inherent challenges of operating with limited skillsets and budgets.
“Healthcare providers will also focus on simplifying their platform footprint to drive operational efficiency, support the integration needs of newer technologies like generative AI and chart a path to profitability.
“These major technology decisions will drive long-term investments in systems that support clinical workflows and collaboration, enterprise resource planning and integration. Embracing a core set of platforms can also create opportunities for organisations to force change throughout other systems in need of a refresh.”
