The whole structure of the healthcare industry is changing due to the creation and implementation of artificial intelligence (AI). AI is enabling a new type of healthcare, what we might call LIFEcare, where prevention, personalized interventions, and ongoing care become part of people’s daily routines.
Following up on our initial research, “Re-inventing Pharma with AI,” this report explores the financial implications of AI in healthcare and presents concrete use cases for pharma and biotech companies.
In this report, using information from over 1,000 industry clients, we provide a region-wise and segment-specific game-plan for businesses looking to take part in this large potential.
A New Era of Healthcare Delivery
The advent of AI in healthcare is changing how people access, manage and receive care. Change of most significance will be predictive analytics to enable doctors and providers to anticipate health issues before they happen. The emerging technologies could add a market potential of $868 billion for pharma industry by 2030, AI will help to get there with factors such as:
- AI-powered clinical trials
- Patient-focused Precision Medicine
- Custom Digital Health and Wellness Platforms
Moreover in patient care, AI will enhance diagnostics, aid remote monitoring and facilitate telemedicine enabling uninterrupted care beyond hospitals & clinics.
How AI is Revolutionizing Healthcare?
Our research indicates that the use of AI in healthcare is set to become far more widespread by 2025 and 2030. Less than 15% Out of the Total Global Healthcare Market is AI-powered, as of now. This figure is forecasted to increase to over 30% by 2030.
Segment Overview
AI in healthcare will look different by segment, based on technology readiness and business priorities:
- Current AI adoption: 10%–30% across verticals
- Expected future [by 2030]: Increased to 30%–45%
- Category Apprentice: Digital health and MedTech (these verticals lead in adoption as they are already built for a digital-first world)
- Even traditional sectors are playing catch up: Pharma and consumer health usage will rise by 20+ percentage points
In pharma, it will speed up drug discovery. On the consumer side of health care, AI will mean that we can deliver personalized care e.g. smart wellness apps and tools that cater to an individual’s needs.
Regional Insights
Given the unique nature of healthcare systems, regulations and technological infrastructure in regions around the world, AI strategies need to be adapted accordingly.
Get a full breakdown of the biggest regions including:
North America – Leading with Innovation
- AI opportunity size: Approximately USD 479 billion by 2030.
- Recognized as global leader in AI-driven healthcare innovation
- Known for direct-to-consumer models, advanced clinical trials, and a strong willingness to adopt new technologies
Europe – Diverse and Data-Driven
- US$ 203 billion AI opportunity by 2030
- Varied regulations for healthcare industry
- Precision medicine, leveraging shared and secure health data platforms to drive robust growth
Asia Pacific – A Region of Contrasts and Growth
- Estimated AI opportunity: US$ 186 billion by 2030
- Large differences, from digital periphery to high-tech metropolises
- Superapps & AI-Powered Healthcare Manufacturing Expanding Access Shape Opportunities
Strategic Opportunities for Pharma and Life Science
In order to benefit from the $868 billion AI opportunity in healthcare by 2030, pharmaceutical and life sciences companies need global and regional strategies. We found that just 15% of businesses are currently prepared to deploy AI-led business models.
AI is something contemplated at many companies, however, few are able to scale their efforts or to progress from highly bespoke internal uses (like automation) on towards genuine commercial applications. A hybrid strategy is required and it should balance centralized planning with localized action.
Three Key Recommendations
#1 Establish Global AI Governance
- Establish uniform practice for data governance
- Comply with legal and ethical standards, and the requirements of this industry.
- Leverage reliable tech platforms to enable safe and scalable AI operations
#2 Work with a “Build Once, Deploy Multiple Times” Model
- Creating basic AI building blocks for use in different demographics
- Avoid over categorization; reuse solutions across markets
- It is also a big time and cost saver as it improves productivity of the resources involved
#3 Develop Region-Specific Business Models
- Modulate business methods to meet the healthcare needs of locality.
- Address regulatory and infrastructure differences
- Concentrate on innovative segments to acquire more clients at a quicker tempo and cultivate your business.
A Step-by-Step Roadmap for Implementation
Here is a three-phase plan that pharma and life sciences companies can use to turn strategy into action:
Phase 1: Months 0–12
Fashion a worldwide model to control AI
Add regional teams to ensure relevant and compliant locally.
Phase 2: Months 12–24
- Implement some of the first AI-based business models in areas where they are the most viable
- Establish mechanisms to monitor and measure the worth and influence of AI
Phase 3: Months 24–36
- Scaling other models to more regions and therapy areas
- Develop and scale operations for long term growth
Final Thoughts
Artificial Intelligence AI is no longer an added feature to a platform, but rather something that will completely change the healthcare industry. In fact, the timing is ideal for pharma and life sciences companies to undertake long-term strategies that adhere to macro trends and acknowledge important regional nuances.
The winners will be the companies that:
- Build strong governance around AI
- Create flexible, scalable solutions
- Innovate to address healthcare needs on the ground, with an eye for what makes sense regionally
Healthcare in 2030 will be driven by innovation, data and smart systems. This will be a huge change, and anyone who understands and recognizes this now can become an influential voice in the AI-empowered healthcare world of the future.
If you are a healthcare provider and need more information, contact Prime Well Med Solutions today!
