AI in Healthcare Statistics: Adoption, Operations & Patient Communication

of patients want AI-enabled convenience: a 2024 survey by Accenture found 64% of consumers want more convenient care facilitated by AI or digital tools.

of consumers value personalization: Accenture reported that 72% of consumers expect personalization in health interactions.

1/3 (33%) of patients worry about data privacy: Accenture’s healthcare consumer research reported privacy concerns at 33%.

of consumers trust AI advice: Accenture reported that 42% of consumers are willing to trust AI when it is transparent and accurate.

of consumers would use AI chatbots for healthcare: a 2024 consumer survey reported chatbot willingness at 18%.

of consumers want AI symptom checkers: a 2024 Forrester consumer study reported demand for AI symptom checkers at 23%.

of consumers would switch providers for AI capabilities: Forrester reported provider-switching intent at 21% if AI capabilities are available.

of US adults use AI health tools: a 2024 Pew Research Center estimate indicated 9% of adults have used AI or AI-enabled tools for health purposes.

1 in 4 (25%) of healthcare organizations reported using AI in a business decision-making process, according to a 2024 survey by Global Data.

of healthcare organizations said they had a dedicated AI team, according to a 2024 Global Data survey.

of healthcare organizations reported AI investments increasing in 2024, according to Global Data.

of healthcare organizations planned to increase AI spending in 2025, according to Global Data.

of healthcare executives reported using AI for clinical decision support in 2024, according to Global Data.

of healthcare organizations reported using AI to support patient communications in 2024, according to Global Data.

of healthcare organizations planned to adopt generative AI within the next 12–24 months, according to Global Data.

of healthcare organizations reported using generative AI in production in 2024, according to Global Data.

of B2B decision-makers say AI improves lead targeting: a Salesforce marketing study reported 52%.

of B2B marketers use AI to automate parts of the funnel: Salesforce reported this rate in a 2024 marketing innovation study.

of healthcare IT leaders prioritize interoperability: a HIMSS-linked market update indicated 71% of leaders prioritize interoperability when deploying AI systems.

of providers are investing in data platforms for AI: HIMSS survey materials reported 56% investing in data platforms to enable AI.

of organizations reported that AI pilots are funded by innovation budgets: a Deloitte technology strategy report indicated 48%.

of health systems used AI for workflow automation: a Deloitte report found 33% of health systems using AI for workflow automation.

of organizations reported adopting AI governance frameworks: IDC reported adoption at 44% in a governance study.

of organizations use model risk management for AI: IDC reported 38% adopting model risk management practices.

1.0x more value: In a 2024 McKinsey discussion, McKinsey estimated that AI-enabled healthcare workflows can reduce administrative burden and clinician time by 30%–50%.

50% fewer clinician admin hours: McKinsey estimated AI-enabled automation could reduce administrative burden and free clinician time by 30%–50%.

1,500+ FDA AI-enabled medical device approvals: The FDA reported cumulative AI/ML-enabled medical device authorization counts exceeding 1,500 by 2024.

500+ FDA AI/ML-enabled device clearances: FDA reported that by 2024, the count exceeded 500 AI/ML-enabled device authorizations.

200+ FDA updates: the FDA’s AI/ML-enabled medical devices discussion has listed hundreds of changes/updates to its program materials through 2024.

increase in AI-enabled device authorizations: FDA program reporting indicated authorizations rose by 23% in 2023 compared with 2022.

of global healthcare costs: McKinsey has estimated AI could add value equal to 1.2–1.7% of healthcare costs annually.

of healthcare costs: McKinsey’s estimate for potential AI value in healthcare starts at 1.2% of healthcare costs.

of healthcare costs: McKinsey’s estimate for potential AI value in healthcare reaches 1.7% of healthcare costs.

300+% growth: MarketsandMarkets projected that the AI in healthcare market would grow at a CAGR of 37.2% from 2023 to 2030.

CAGR: MarketsandMarkets projected a 37.2% compound annual growth rate for AI in healthcare from 2023 to 2030.

MarketsandMarkets reported the AI in healthcare market at $15.9 billion in 2023.

MarketsandMarkets projected the AI in healthcare market to reach $170.0 billion by 2030.

Research and Markets stated the AI in healthcare market was $34.0 billion in 2023.

of healthcare marketers expect AI to improve personalization: a 2024 Gartner marketing survey found 48% expect AI to improve personalization efforts.

of marketing leaders plan to increase AI budgets in healthcare: a Gartner marketing survey reported 35% planned increases.

of healthcare organizations are using AI to segment audiences: a Deloitte digital marketing report stated that 62% use AI for segmentation.

of marketing leaders report improved campaign performance from AI: Deloitte reported improved campaign outcomes among 27%.

of organizations use AI for content generation: PwC’s marketing technology analysis reported 41% adoption for AI content generation.

of organizations measure ROI for AI campaigns: PwC reported that 24% of organizations measure ROI from AI marketing efforts.