AI in Healthcare Statistics 2025: Overview of Trends

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Feb 19, 2025 | 4 min read

As we enter 2025, let's find out how AI in healthcare statistics from 2024 shape the latest trends.

From AI symptom checkers to AI doctors and medical assistants, this innovation is now a key tool for both healthcare providers and patients.

Contents

1. The Growth of AI in Healthcare

AI adoption in healthcare is rising. More hospitals and doctors are using AI to improve care and streamline medical processes.

80% of hospitals now use AI to enhance patient care and workflow efficiency (Source: Deloitte 2024 Health Care Outlook).
46% of U.S. healthcare organizations are in the early stages of Generative AI implementation. This shows that they are actively working toward enterprise-level deployment (Source: Forrester 2024).
The AI healthcare market grew to $32.34 billion in 2024 and is projected to reach $431.05 billion by 2032. This reflects rapid investment in AI projects in healthcare and research (Source: Global Market Insights 2024).

Healthcare providers are integrating AI in the medical field to improve efficiency, address staff shortages, and enhance patient care.

92% of healthcare leaders agree that automation is critical for addressing staff shortages, showing how AI in public health can play a role in improving efficiency (Source: Royal Phillips Future Health Index 2024).
75% of leading healthcare companies are experimenting with or planning to scale Generative AI use cases in healthcare (Source: Deloitte 2024).
43% of healthcare leaders are already using AI for in-hospital patient monitoring (Source: Royal Phillips Future Health Index 2024).
40% of healthcare providers reported improved efficiency due to AI solutions in healthcare (Source: Accenture 2024).
92% of healthcare leaders believe Generative AI improves operational efficiency, while 65% see it as a tool for faster decision-making (Source: Deloitte 2024).

AI health assistants are helping users track symptoms, receive guidance, and manage chronic conditions.

Over 60% of digital health users relied on an AI medical assistant for health insights and symptom assessment. (Source: Docus).
32% of AI Doctor requests were related to cold, flu, or respiratory infections. This makes them the most common conditions users inquired about (Source: Docus).
65% of users consulting an AI Doctor asked about fever, chest pain, or fatigue before considering further medical consultation (Source: Docus).
18% of users consulted an AI Doctor for sexual health concerns (Source: Docus).

AI tools in healthcare are transforming diagnostic accuracy and lab test interpretation, reducing errors and improving patient safety.

78% of users reported a better understanding of their lab results when using AI-powered explanations, making medical data easier to interpret (Source: Docus).
Blood tests made up 62% of AI lab test interpreted results, including 40% complete blood counts (CBC), 15% lipid profiles, and 7% other types (Source: Docus).
Urine tests accounted for 24%, while other lab tests (semen analysis, swab tests, stool tests, etc.) made up 14% (Source: Docus).
28% of lab test interpretation cases focused on blood sugar and cholesterol levels, reflecting concerns about diabetes and heart disease (Source: Docus).

More people are using AI symptom checkers to understand their health and decide when to see a doctor.

46% of users used AI symptom checkers for mental health concerns, such as anxiety and depression (Source: Docus).
41% of Symptom Checker users searched for skin conditions, digestive issues, and headaches, with eczema and acid reflux being top concerns (Source: Docus).
22% of users used an AI symptom checker for their family members (Source: Docus).

Younger people are more open to digital healthcare trends, but opinions on its safety and effectiveness vary.

80% of consumers aged 18-34 embraced AI healthcare solutions, while less than 60% of those over 55 were willing to use them (Source: PwC Healthcare Survey 2024).
65% of respondents preferred AI-driven health plans, showing a growing demand for AI healthcare personalization (Source: HealthEdge Consumer Trends 2024).
53% of consumers believe AI improves healthcare accessibility, while 46% think AI helps lower medical costs (Source: Deloitte 2024).
72% of Docus users reported that AI insights positively impacted their well-being and medical decision-making practices (Source: Docus).

Online searches show more people are looking for AI tools to help with medical advice and diagnoses.

Searches for ‘AI Symptom Checker’ increased by 134.3% in 2024 compared to 2023, reflecting a growing reliance on AI-driven health assessments (Source: Google Trends 2024).
Searches for ‘AI Doctor’ increased by 129.8% in 2024 compared to 2023 (Source: Google Trends 2024).
Searches for ‘AI for medical diagnosis’ increased by 49.3%, reflecting increased trust in AI tools in healthcare (Source: Google Trends 2024).

A breakdown of who is using AI healthcare tools highlights adoption trends across different populations.

Users aged 18-24 account for 55% of AI in healthcare adoption, highlighting younger generations' trust in AI-driven medical tools (Source: Docus).
Mobile is the primary device for AI health assistants, with 76.9% of users accessing them via smartphones, 21.6% via desktops, and 1.5% via tablets (Source: Docus).
56.3% of AI health assistant users are male, while 43.7% are female (Source: Docus).

48.1% of AI symptom checker users are from the United States, 27.4% from India, 8.9% from the United Kingdom, 7.0% from Germany, 5.1% from Canada, and 3.5% from others (Source: Docus).
English is the primary language for 83.7% of AI symptom checker users, followed by Spanish (5.7%), French (3.3%), German (2.4%), Arabic (1.6%), and other languages (3.3%) (Source: Docus).

Despite its benefits, AI challenges in healthcare remain.

68% of U.S. adults feared that AI could weaken patient-provider relationships, leading to less human interaction in healthcare (Source: Statista 2024).
63% of respondents cited data security risks as a major concern in implementing AI in healthcare (Source: Statista 2024).
52% of consumers worried that AI-powered medical decisions could introduce bias into healthcare (Source: Statista 2024).
42% of healthcare professionals in the U.S. also remain unenthusiastic about AI, again citing concerns about reduced human interaction and data privacy risks (Source: The Intake).
40% of physicians believe AI is overhyped and will not meet high expectations, reflecting skepticism about its long-term impact (Source: Forrester 2024).