AI in Healthcare Statistics: Adoption, Operations & Patient Communication
2024 survey data show mounting AI adoption in healthcare: 25% use AI for business decisions, 46% have dedicated AI teams, and 39% report rising AI investments—while 52% of executives use AI for clinical decision support. Market momentum is strong: McKinsey estimates 30%–50% less admin burden and potential value of 1.2%–1.7% of healthcare costs annually, as AI-market growth accelerates.
Key Takeaways
Survey and market stats show AI momentum in healthcare: 25% use it for decisions, 46% have dedicated teams, and the sector may hit $170B by 2030.
- 64% 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.
- 72% 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%.
- 1 in 4 (25%) of healthcare organizations reported using AI in a business decision-making process, according to a 2024 survey by Global Data.
- 46% of healthcare organizations said they had a dedicated AI team, according to a 2024 Global Data survey.
- 39% of healthcare organizations reported AI investments increasing in 2024, according to Global Data.
- 52% of B2B decision-makers say AI improves lead targeting: a Salesforce marketing study reported 52%.
- 39% of B2B marketers use AI to automate parts of the funnel: Salesforce reported this rate in a 2024 marketing innovation study.
- 71% of healthcare IT leaders prioritize interoperability: a HIMSS-linked market update indicated 71% of leaders prioritize interoperability when deploying AI systems.
- 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%.
- 30%–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.
- 1.5% of global healthcare costs: McKinsey has estimated AI could add value equal to 1.2–1.7% of healthcare costs annually.
- 1.2% of healthcare costs: McKinsey’s estimate for potential AI value in healthcare starts at 1.2% of healthcare costs.
- 1.7% of healthcare costs: McKinsey’s estimate for potential AI value in healthcare reaches 1.7% of healthcare costs.
Consumer Behavior
With 64% of patients saying they want AI-enabled convenience, many consumers also expect personalization at 72%, yet only 42% trust AI advice and privacy concerns remain high at 67%, shaping adoption and switching behavior.
64% 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.
72% 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%.
42% of consumers trust AI advice: Accenture reported that 42% of consumers are willing to trust AI when it is transparent and accurate.
18% of consumers would use AI chatbots for healthcare: a 2024 consumer survey reported chatbot willingness at 18%.
23% of consumers want AI symptom checkers: a 2024 Forrester consumer study reported demand for AI symptom checkers at 23%.
21% of consumers would switch providers for AI capabilities: Forrester reported provider-switching intent at 21% if AI capabilities are available.
9% 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.
67% of consumers are concerned about AI privacy in healthcare: Pew reported strong concern levels about data privacy when AI is involved.
Corporate & B2b
In corporate and B2B healthcare, the picture is clear: 46% of organizations have dedicated AI teams, 39% say AI investment is rising in 2024, and 33% plan to increase spending in 2025.
1 in 4 (25%) of healthcare organizations reported using AI in a business decision-making process, according to a 2024 survey by Global Data.
46% of healthcare organizations said they had a dedicated AI team, according to a 2024 Global Data survey.
39% of healthcare organizations reported AI investments increasing in 2024, according to Global Data.
33% of healthcare organizations planned to increase AI spending in 2025, according to Global Data.
52% of healthcare executives reported using AI for clinical decision support in 2024, according to Global Data.
28% of healthcare organizations reported using AI to support patient communications in 2024, according to Global Data.
36% of healthcare organizations planned to adopt generative AI within the next 12–24 months, according to Global Data.
19% of healthcare organizations reported using generative AI in production in 2024, according to Global Data.
24% of healthcare organizations reported using AI for revenue cycle management in 2024, according to Global Data.
31% of healthcare organizations reported AI adoption in imaging/radiology in 2024, according to Global Data.
Digital Strategy
AI in healthcare is becoming a digital strategy priority, with 71% of healthcare IT leaders emphasizing interoperability and 56% of providers investing in data platforms, alongside growing governance and risk practices as AI moves from pilots into operations.
52% of B2B decision-makers say AI improves lead targeting: a Salesforce marketing study reported 52%.
39% of B2B marketers use AI to automate parts of the funnel: Salesforce reported this rate in a 2024 marketing innovation study.
71% of healthcare IT leaders prioritize interoperability: a HIMSS-linked market update indicated 71% of leaders prioritize interoperability when deploying AI systems.
56% of providers are investing in data platforms for AI: HIMSS survey materials reported 56% investing in data platforms to enable AI.
48% of organizations reported that AI pilots are funded by innovation budgets: a Deloitte technology strategy report indicated 48%.
33% of health systems used AI for workflow automation: a Deloitte report found 33% of health systems using AI for workflow automation.
44% of organizations reported adopting AI governance frameworks: IDC reported adoption at 44% in a governance study.
38% of organizations use model risk management for AI: IDC reported 38% adopting model risk management practices.
Industry Insights
Industry insights suggest AI in healthcare is already delivering measurable gains and momentum, with McKinsey estimating 30% to 50% fewer clinician admin hours and the FDA reporting 1,500 plus AI enabled device approvals by 2024.
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%.
30%–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.
23% increase in AI-enabled device authorizations: FDA program reporting indicated authorizations rose by 23% in 2023 compared with 2022.
Market Size & Growth
McKinsey suggests AI could create value worth 1.2% to 1.7% of global healthcare costs, while MarketsandMarkets forecasts the AI in healthcare market rising from $15.9 billion in 2023 to $170.0 billion by 2030.
1.5% of global healthcare costs: McKinsey has estimated AI could add value equal to 1.2–1.7% of healthcare costs annually.
1.2% of healthcare costs: McKinsey’s estimate for potential AI value in healthcare starts at 1.2% of healthcare costs.
1.7% 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.
37.2% CAGR: MarketsandMarkets projected a 37.2% compound annual growth rate for AI in healthcare from 2023 to 2030.
$15.9B: MarketsandMarkets reported the AI in healthcare market at $15.9 billion in 2023.
$170.0B: MarketsandMarkets projected the AI in healthcare market to reach $170.0 billion by 2030.
$34.0B: Research and Markets stated the AI in healthcare market was $34.0 billion in 2023.
37.1% CAGR: Research and Markets reported a projected 37.1% CAGR for AI in healthcare over the forecast period.
$1.5B: Tractica/other industry reporting cited a $1.5 billion value for AI in radiology software revenues in 2024.
Marketing & Advertising
With 48% of healthcare marketers expecting AI to improve personalization and 35% planning to increase AI budgets, many are already segmenting audiences with AI and trying to boost measurable campaign results.
48% of healthcare marketers expect AI to improve personalization: a 2024 Gartner marketing survey found 48% expect AI to improve personalization efforts.
35% of marketing leaders plan to increase AI budgets in healthcare: a Gartner marketing survey reported 35% planned increases.
62% of healthcare organizations are using AI to segment audiences: a Deloitte digital marketing report stated that 62% use AI for segmentation.
27% of marketing leaders report improved campaign performance from AI: Deloitte reported improved campaign outcomes among 27%.
41% of organizations use AI for content generation: PwC’s marketing technology analysis reported 41% adoption for AI content generation.
24% of organizations measure ROI for AI campaigns: PwC reported that 24% of organizations measure ROI from AI marketing efforts.
