50+ AI in Healthcare Statistics with Market Size & 2025 Growth Report

Now that we’re halfway through 2025, it’s clear that Artificial Intelligence is gaining supremacy across numerous fields. More importantly, AI has already made a significant impact on the healthcare industry.

We’re living in a time where machines are constantly evolving, helping doctors diagnose crucial diseases, perform surgery, and support healthcare in ways we couldn’t imagine just a few years ago.

In modern healthcare, every patient encounter generates a pile of data, from medical images, and lab results to clinical notes. This data alone is overwhelming for professionals to analyze quickly. AI algorithms step in by quickly identifying patterns and predicting health outcomes. They can even suggest personalized treatment options based on this data.

Now AI Impact is not just limited to AI healthcare chatbots anymore. In 2025, the AI healthcare market is moving beyond simple tools to include areas like clinical decision support, improving diagnostic imaging, automating tasks, and creating personalized medicine.

That’s why we’ve gathered some of the most interesting AI healthcare statistics for you. With these numbers, we’re sure you’ll know how AI is changing the healthcare industry.

AI in Healthcare Market Size and Industry Overview

As we mentioned above, AI has changed many aspects of the healthcare industry. It completely changes our perspective on treatment. As a result, almost every medical organization worldwide is trying to reap the maximum benefits of AI.

Let’s look at some lucrative statistics of AI in healthcare.

• The global artificial intelligence healthcare market is expected to grow by $45.2 billion by 2024.
• Again, the healthcare market will extend at a CAGR of 40.2% to reach USD 173.55 billion by 2029.
• Besides, North America covers the highest healthcare market share, i.e., 42.3%. Hence, artificial intelligence dominates the healthcare market in North America.
• Machine learning holds the highest AI healthcare market share in terms of technology.
• To provide effective healthcare solutions, around 10% of medical professionals use AI tools like Merative, Viz.ai, and more.
• Around every 6th medical organization worldwide has adopted AI models.
• Based on a report, 80% of healthcare professionals say that AI and robotics will take healthcare to the next level. The life expectancy of people would grow more due to accurate diagnosis and treatments,
• 86% of the AI companies use some form of AI today.
• New jobs from AI in healthcare are expected to increase by 13% by the year 2025.
• As per a Chinese trial, an AI system was trained for brains wherein the results were quite different from those the doctors gave. The results by AI were 90% correct; the brain activity was tracked, which was not visible to doctors.
• AI in healthcare has shown a significant impact in detecting skin cancers as well. The AI-integrated system showed 98% accurate diagnosis, while the number of doctors was 87%.
• 58% of the global AI in healthcare revenue share comes from the U.S.
• 95% of hospitals worldwide will use AI-integrated technology for remote patient monitoring by the end of 2025.
• 28% of healthcare executives in the U.S. agree with the point that artificial intelligence in healthcare is enhancing medical operations and treatment.
• According to a survey, 70% of clinicians in the Asia Pacific and South America regions believe that they will use AI-powered clinical tools to make the needed treatment decisions.

Key AI Trends in Healthcare and Revenue Insights

Let’s drill down some of the most important AI trends, facts, and figures that you should know about artificial intelligence in the healthcare industry.

• Approximately 34% of the AI-integrated healthcare applications in the NHS ( National Health Services) are in diagnostics.

• AI-powered robotics technology will contribute to 12.5 million jobs globally in the next five years.
• The new AI technology is mostly used in the clinics.
• Implementing AI-powered tools to diagnose and monitor mental health disorders.
• AI gave Moderna a boost by enhancing its COVID-19 vaccination – AI-designed mRNA vaccines.
• 96% of health executives believe that they need AI for health equity.
• 80% accuracy is observed for cancer patient survival with the help of artificial intelligence.
• By the year 2026, robot-assisted surgery will be worth around $40 billion.
• Medication dosing errors will be reduced by AI which ultimately saves 16 dollars per year.
• AI-driven predictive analytics have the potential to reduce hospital readmission rates by up to 50% and lower mortality rates by 30%.
• Every stroke center will have AI stroke diagnosis technology by the end of year 2024.
• Enhancing telemedicine services through AI-powered tools for remote consultations and patient care.
• AI will cover its share in all types of devices.

AI in Healthcare Statistics by Patient Acceptance

Okay, we have discussed AI-powered technology in healthcare scenarios based on its revenue, market growth, AI tools, and more. But how many patients are comfortable with the treatment using these technologies?

It is a fact that when it comes to patients or users, accepting new technology for treatments might sound scary. However, there are positive numbers of patients who find cancer treatment using AI technology has worthwhile outcomes.

Let’s catch the numbers of patient data for using power-pack technologies in various diagnoses and treatments.

Artificial Intelligence affects 100% of physicians and other healthcare providers, though out of every 4 patients, 3 are uncomfortable using AI for their treatments.

• AI in patient interaction, 59% of U.S. patients reject this innovation for treatment.
• Out of all, China holds the highest number of positive patients. About 48% of the patients accept this innovation.
• AI at home diagnostics – globally, 30% of the people accept it, and the major percentage comes from China i.e. 47%.

The wide concern for AI in health and medicine is that it will impact the personal connection between patients and healthcare providers. Approximately 57% say that disease diagnosis and treatment would worsen patient and healthcare-provider interaction.

Check the image below that gives you some figures on AI acceptance by patients.

75% of Americans report that AI implementation in healthcare has already started

We must accept that people already know about technologies like AI, Machine Learning and more. But, 70% of the population is still unsure about receiving it in the regular diagnoses and treatments. Somewhere, they believe that the healthcare sector will move too quickly and will not understand the risks involved in the patient’s life.

Wait, things do not end here.

One of the areas where people find AI to be much useful is skin cancer screening. Approximately 55% of the respondents worldwide think skin cancer screening via AI technology is more accurate than traditional screening. These shifts in patient perception have pushed providers to invest in more reliable app development services in healthcare that align with diagnostic accuracy & clinical usability.

Survey Statistics: 65% of US Adults Prefer AI for Skin Cancer Screening

On average two-thirds of U.S. adults say that they do not want an AI-based pain management system. 31% of Americans say they would want this kind of AI guiding their pain management treatment while two-thirds (67%) say they would not.

AI in Healthcare Statistics by Key Application Areas

AI for Cost Reduction in Healthcare

Artificial intelligence can shift the whole healthcare system from an active to a proactive approach. Algorithms can work with large amounts of data and predict diseases and their potential treatments.

According to one report, over 27% of appointments in the U.S. are canceled by patients. One such cancellation may cost the hospital up to 200 dollars. To address this issue, the Missed Visit Prediction Indicator was invented. This analytical tool calculates the risk of missing an appointment and saves around $150 billion annually.

Consequently, AI and Machine Learning will reduce the cost of the healthcare system by $13 billion by 2025.

AI in Drug Discovery and Development

Developing a new drug is one of the most challenging formulas to invent. It requires a lot of research and accuracy to get the needed results. And that’s the reason why scientists have begun to use AI in drug discovery.

If we use AI and Machine Learning to create new antibiotics quickly, it will be one of the biggest wins in the healthcare industry. Also, AI reduced the cost of inventing the new drug by 70%.

AI in Precision Medicine and Personalized Care

Artificial intelligence-infused AI-medical tools boost research by leveraging interface techniques and advanced computation. This is possible by analyzing vast amounts of patient data, including genetic information, medical history, lifestyle factors, and environmental influences, AI algorithms identify patterns, correlations, and predictive models that guide personalized medical decisions.

Above all, Oncology and Neurology will dominate with the help of AI in precision medicine. In 2023, More than 35% of the precision medicine market’s revenue share came from oncology.

AI in Medical Imaging and Diagnostics

Medical imaging takes the help of a range of technologies to diagnose the human body for various medical conditions.

AI adoption in medical imaging is driven by many aspects like the growing volume and complexity of medical data, increasing demand for early diagnosis of disease, and improvement in healthcare efficiency.

According to a source, the global AI in medical imaging market was valued at approximately $1.5 billion in 2020 and is projected to surpass $8 billion by 2027, with a compound annual growth rate (CAGR) of over 25% during the forecast period.

AI-Enabled Robotics in Surgery and Patient Care

With a 19% share in the robotics market, healthcare is considered the second-largest industry for AI in 2024. AI-enabled robots can help bridge the projected shortfall of 10 million healthcare workers globally by 2030, with AI estimated to meet 20% of unmet clinical demands.

54% of respondents in a PwC survey across Europe, the Middle East, and Africa indicated a willingness to engage with AI and robotics for their healthcare needs.

Key Takeaways from AI in Healthcare Statistics

By examining these numbers, we navigate the ever-evolving landscape of healthcare. It is evident that AI is not just a trend but a transformative force reshaping the industry. The number speaks for itself, showcasing the immense potential of AI in healthcare.

There are some challenges, though the AI-integrated healthcare industry also comes with numerous benefits. As we close this chapter on AI in healthcare, let us remember that behind every statistic lies a story of impact, a narrative of progress, and a vision of a healthier world. Let us continue to embrace AI’s possibilities, pushing boundaries, challenging norms, and shaping a future where technology and compassion intersect to redefine healthcare for generations to come.

AI Integration for Healthcare by Excellent Webworld

Statistics for AI in the healthcare sector are very clear, and we can even observe that the trust of healthcare professionals as well as patients is growing. With the support of specialized AI app development services, healthcare providers like us help you implement AI-enabled healthcare solutions that streamline operations and improve patient care.

Excellent Webworld supports you in overcoming the challenges and obstacles you encounter while integrating AI in your healthcare system. Not only that we have our hands on Generative AI development as well. Get the most unique and advanced featured rich AI integrated healthcare solutions under our professionals.

Let’s get in touch to discuss more about it. Let’s Build Your Digital World Together!

Article By

Mahil Jasani

Mahil Jasani began his career as a developer and progressed to become the COO of Excellent Webworld. He uses his technical experience to tackle any challenge that arises in any department, be it development, management, operations, or finance.