AI In Healthcare Statistics By Usage, Applications and Facts (2025)

Introduction

AI in Healthcare Statistics: Artificial Intelligence (AI) is transforming how healthcare is delivered globally. It allows doctors and hospitals to make faster and more accurate decisions. AI is useful for detecting diseases early and assisting doctors in planning the most effective treatments. As technology advances, AI’s role in healthcare is expanding and becoming increasingly important. Many studies now report numbers showing how rapidly this change is occurring.

These statistics help us understand how AI is being utilised, where it is most beneficial, and what we can anticipate in the future. In this article, we will examine key facts and figures about AI in healthcare and their implications for patients, healthcare professionals, and the broader healthcare system.

Editor’s Choice

• The global value of AI in healthcare is expected to reach around USD 39.34 billion by 2025. It could rise sharply to nearly USD 490.96 billion by 2032, growing at a rate of over 43% per year.
• In India, the healthcare sector’s use of AI is expected to reach USD 1.6 billion by 2025.
• Around 94% of health-related businesses now utilise AI or machine learning to enhance their operations.
• AI in Healthcare Statistics show that AI could help reduce healthcare spending by approximately USD 13 billion by 2025 by making systems more efficient.
• In medical imaging, AI has demonstrated high accuracy, reaching up to 88%, in detecting breast cancer.
• Predictive AI tools can forecast whether a patient is likely to return to the hospital, with a success rate of around 85%.
• Virtual assistants and AI chatbots may help save over USD 3.6 billion worldwide by reducing the time spent on answering routine patient questions and handling appointments.
• Surgery assisted by robots, utilising AI, is gaining popularity, and the market is expected to reach USD 40 billion by 2026.
• By 2026, this area is expected to reach USD 20 billion, enabling patients to receive support outside of hospitals.
• The market for AI in drug research is expected to reach nearly USD 4 billion by 2028, with a steady annual growth rate of over 40%.

General AI In Healthcare Statistics

(Source: openandaffordable.com)

• Experts predict that by 2030, the global AI healthcare market will reach USD 208.2 billion, growing at a compound annual growth rate (CAGR) of 36.1% from 2024 to 2030.
• This market is projected to grow by 524% during this period, increasing from USD 32.3 billion in 2024 to USD 208.2 billion by 2030.
• In 2023, North America had the largest share of the AI healthcare market, with 58.9%.
• However, the Asia-Pacific region is expected to grow at the fastest rate, with an annual growth rate of 42.5% from 2023 to 2030.
• In 2024, the AI healthcare market is projected to grow by 42%, reaching USD 32.3 billion.
• The European market is also expected to grow, reaching USD 50 billion by 2030.
• In 2023, software accounted for the largest share of the AI in healthcare market, comprising 81.25%. Meanwhile, services contributed to 18.75% of the market share.
• AI in Healthcare Statistics also predicted that by 2030, Human involvement will still be needed for about 90% of nursing tasks, even with AI support.
• AI can help save USD 16 billion by reducing medication errors.
• In South America, 64% of healthcare workers trust AI to assist in making clinical decisions.
• AI has helped reduce medication errors from 2.9% to 0.6%, improving patient safety.
• By using AI, the cost of developing new drugs can be cut by 70%.
• AI predictions have led to a 50% decrease in unnecessary hospital admissions.

By Usage And Planning

(Source: lh7-rt.googleusercontent.com)

• In the United States, 25% of hospitals are already using AI to forecast patient needs.
• Moving to Europe, 53% of healthcare providers are planning to implement medical robots by 2024.
• Interestingly, in South America, 64% of doctors have the most confidence in AI, trusting it to assist them in making clinical decisions.

Types Of AI Applications In Healthcare

• Medical imaging analysis
• Natural language processing (NLP)
• Disease prediction and risk assessment
• Virtual Assistants and Chatbots
• Drug discovery and development
• Robot-assisted surgery
• Patient engagement
• Diagnosis and treatment
• Machine learning

Growth Analysis In AI Healthcare Statistics

(Reference: artsmart.ai)

• Between 2020 and 2024, the AI Healthcare market grew by an impressive 233%, rising from USD 6.7 billion to USD 22.4 billion.
• By 2030, the market is expected to reach USD 187.95 billion, with key areas such as robot-assisted surgeries (USD 40 billion by 2026) and precision medicine (USD 14.5 billion by 2030) driving growth.
• The USA is set to lead with USD 102.2 billion in revenue by 2030.
• At the same time, China is showing strong competition with a 42.5% growth rate.
• This rapid growth and steady rise are evident in areas such as medical imaging, which has experienced a 26.5% annual growth rate.

By Adoption And Implementation

• Around 94% of healthcare organisations are using AI or machine learning in some way.
• In the European Union, 42% of healthcare groups currently utilise AI for disease diagnosis, and an additional 19% plan to implement it within the next three years.
• Approximately 25% of hospitals in the US utilise AI-driven tools to enhance patient care.
• More than half (53%) of healthcare organisations in the EU aim to adopt medical robots by the end of 2024.

(Source: openandaffordable.com)

• In South America, 64% of doctors believe that AI will have a significant impact on their decisions within the next decade.
• Similarly, 62% of clinicians in the Middle East and Africa anticipate that AI will play a significant role in their decision-making over the next decade.
• In North America, 48% of clinicians share this expectation, and 45% in Europe also foresee AI influencing their decisions.
• The market for virtual nursing assistant AI applications is expected to grow significantly, reaching an estimated value of USD 20 billion by 2026.
• Additionally, the healthcare chatbots market, valued at USD 116.9 million in 2018, is projected to reach USD 345.3 million by 2026.
• This growth represents a compound annual growth rate (CAGR) of 14.5%.

By Financial Impacts And Investments

• AI and machine learning are expected to cut healthcare costs by USD 13 billion by 2025.
• AI in Healthcare Statistics reports that AI-powered chatbots could save the global healthcare sector USD 3.6 billion by 2025.
• In the first quarter of 2024, AI-focused digital health startups received 40% of total digital health investments, an increase from 33% in 2023.
• More than 25% of healthcare leaders are already investing in generative AI, with over 50% planning to invest in the coming years.
• The virtual assistant market is predicted to grow at a 44.2% annual growth rate (CAGR) from 2024 to 2030.
• The AI-driven drug discovery industry is projected to reach USD 4 billion by 2028, growing at a compound annual growth rate (CAGR) of 40.2%.

By Country

United States

• 40% of Americans believe AI can reduce mistakes made by healthcare professionals, while 27% think it does not help in reducing these mistakes.
• However, around 60% of people in the U.S. feel uncomfortable if healthcare providers rely on AI for medical decisions.
• On the other hand, 40% of U.S. adults feel comfortable with AI being used in their healthcare. 60% of U.S. adults would be uneasy if AI were used to diagnose diseases or suggest treatments.

China

• In 2022, China’s AI healthcare market earned USD 0.55 billion. This market is projected to reach USD 11.91 billion by 2030, growing at a compound annual growth rate (CAGR) of 46.72%.
• China also faces a high number of patients with depression and stress, with over 95 million affected.

United Kingdom

• The AI healthcare market in the UK earned USD 0.18 billion in 2022.
• The market is projected to reach USD 3.18 billion by 2032, with an annual growth rate of 43.22% from 2022 to 2032.

South Korea

• In 2019, South Korea’s AI healthcare market was worth 55.4 billion South Korean won.
• The market is expected to grow to 246.5 billion South Korean won by the end of 2023.

Clinicians’ Familiarity With AI Statistics By Region

• According to the 2024 AI in Healthcare Statistics, ChatGPT was the most recognised AI tool among healthcare professionals, with 84% of those surveyed stating they had heard of it.
• Furthermore, nearly 20% of clinicians reported using ChatGPT for work-related tasks.
• A Statista survey conducted between December 2023 and February 2024 found that approximately 52% of doctors and 51% of nurses reported being at least somewhat familiar with AI technologies.
• Conversely, only 3% of doctors and 6% of nurses reported being not at all familiar with AI.
• In North America, 12% of clinicians reported being very familiar with AI technologies, the highest among all regions.
• In Europe, 52% of clinicians reported having some knowledge of artificial intelligence (AI).
• In the Asia Pacific region, around 51% of clinicians were familiar with AI.
• In South America, nearly 53% of clinicians reported having some knowledge of artificial intelligence (AI).

By Funding In The Digital Health Industry

• In 2023, the share increased to 34%, with AI startups raising USD 10.7 billion in the U.S. alone.
• In 2024, AI-focused digital health companies received 42% of the total funding in the digital health sector, amounting to USD 14.1 billion globally.

By Investment

• A 2024 Statista survey revealed that about 40% of executives in top leadership positions at medtech companies expect to invest 5% to 10% of their yearly revenue in new technologies.
• Additionally, 38% of the respondents predict they will invest more than 10% of their annual revenue in new technologies over the next five years.
• In the 12 months leading up to mid-2024, 42% of the financing raised by medtech companies was directed towards innovation capital, indicating a focused investment in new technologies.

AI-Enabled Medical Imaging Statistics By Market Size

AI Adoption in MedTech by Application Area

• According to a 2024 Statista report analysis, it was found that 79% of respondents in the medical technology field had already started using artificial intelligence in their research and development processes.
• Additionally, 54% of medical technology companies in the manufacturing sector had also adopted AI.

Other AI-applicable areas in the healthcare sector in 2024 are stated in the table below:

(Reference: scoop.market.us)

• The AI-assisted robotic surgery market is projected to grow at the fastest rate and is expected to reach USD 40 billion by 2026.
• Following this, the virtual nursing assistant market is projected to reach USD 20 billion by 2026.

By Benefit of Generative AI

• A significant 73% of healthcare professionals believe that generative AI can enhance clinician productivity.
• Approximately 60% of respondents anticipate improvements in patient and member engagement and experience through the implementation of generative AI technologies.
• The same percentage, 60%, expect generative AI to contribute to greater administrative efficiency and effectiveness.

Nurses’ Comfort Levels With AI In The U.S. (2024)

By Comfort Level Of U.S. Adults

• In 2024, 69% of people in the United States felt comfortable using AI for scheduling appointments.
• However, only 15% were okay with the idea of AI diagnosing them.
• Nearly 70% of respondents stated that they would feel uncomfortable if AI were responsible for their diagnosis.

By A Professional’s Opinion

• Around 59% of healthcare professionals say AI helps save money and improve services.
• Approximately 56% mention that the COVID-19 pandemic accelerated their adoption of AI in healthcare.
• Half of the professionals (51%) believe AI helps them reach their goals more quickly.
• 55% of respondents report better healthcare outcomes thanks to AI.
• Additionally, over 37% want to use AI to assign accurate codes for diagnoses, facilities, and procedures.

By Top Concerns

• In 2024, nearly 54% of adults in the United States expressed concerns about AI in healthcare, primarily due to uncertainty about the accuracy of diagnoses.
• Following this, about 50% were worried about data privacy and security, while 43% had concerns about the technical limitations of the technology.

Advantages And Disadvantages

Impacts Of AI On Healthcare Outcomes

• An impressive 80% of pathologists believe that AI will help people live longer.
• Additionally, AI technology has the potential to reduce hospital admissions by up to 50%.
• It could also save USD 16 billion by reducing medication errors.

Conclusion

Artificial Intelligence is transforming healthcare in numerous beneficial ways. It helps doctors detect diseases early, facilitates faster treatment, and reduces the likelihood of errors. Patients can also get better care with the help of smart machines and health apps. Although there are some challenges, such as data privacy concerns and high costs, the benefits are substantial.

With careful use, AI can make hospitals smarter and save more lives. As technology grows, we can expect even more improvements in healthcare.