Software Development
Updated: Aug 2, 2024

The Statistical Landscape of AI Adoption in Healthcare

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Dhaval Dave, a Operations Spearhead, and a technology enthusiast at Radixweb.
Statistical Analysis of AI's Effect in Healthcare

Quick Overview: Let’s dive deeper into the spectrum of Artificial Intelligence in healthcare statistics, revealing the promising breakthroughs and the bright future it holds in revolutionizing the healthcare industry. Join us as we explore the statistical arena and trends for AI adoption in healthcare.

Imagine a future where machines not only assist but also anticipate the needs of healthcare professionals, where a huge number of medical data is transformed into actionable insights, and where patient outcomes are optimized with accurate precision.

From personalized treatment recommendations to AI predictive analytics, from drug discovery to image interpretation, AI has a significant impact on the healthcare industry. This blog will be your compass through this transformative landscape, giving in-detail information about statistics of artificial intelligence in healthcare industry.

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On This Page
  1. Artificial Intelligence in Healthcare Market Size
  2. Artificial Intelligence in Healthcare Industry
  3. AI in Healthcare Statistics
  4. AI in Healthcare Statistics by Patients
  5. Future of AI in Healthcare Statistics
  6. Implement AI for Your Healthcare Industry

Artificial Intelligence in Healthcare Market Size

The use of AI in healthcare industry is gaining momentum. In fact, it has become a vital trend to bridge the gap between patients and healthcare professionals. Hence, the need for AI-based healthcare solutions has seen some of the biggest investments in recent years. Let’s understand the market size of AI in healthcare sector.

Market Overview of AI in Healthcare

  • The global healthcare AI market is expected to reach $188 billion by 2030, increasing CAGR of 37% from 2022 to 2030.
  • The global AI in healthcare market is expected to reach $45.2 billion by 2026.
  • Around a fifth of healthcare organizations have already adopted AI models for their healthcare solutions.
  • The implementation of AI in healthcare reduced around 20% of physician’s time in administrative tasks.
  • Around 10% of medical professionals utilize AI-powered tools like Med-PaLM2 or ChatGPT in order to provide effective solutions.
  • AI helped Moderna optimize its COVID-19 vaccine.
  • The market for Artificial Intelligence in healthcare is projected to grow to $32.3 billion in 2023.
  • The report from the NCBI study states that AI-based algorithms successfully detected 68% of COVID-19 positive cases in a dataset of 25 patients diagnosed as negative cases by healthcare professionals.
  • North America is the biggest contributor to the AI in healthcare market with a whopping 59.1% market share.
  • The AI healthcare market is dominated by North America.
  • According to 79% of healthcare professionals surveyed, robotics and AI will significantly improve the healthcare industry.
  • 90% of hospitals will use AI-powered technology for early diagnosis and remote patient monitoring by 2025.
  • It's estimated that chatbots driven by AI would save healthcare organizations $3.6 billion worldwide.
  • During the COVID-19 pandemic, 94% of healthcare executives report that AI adoption has expanded throughout their organizations.
  • Research discoveries may occur considerably more quickly if AI applications are executed on computers with far quicker processing speed than humans.
  • Healthcare AI is expected to grow at an annualized rate of 36.4% between 2024 and 2030, according to PR Newswire.
  • 23% of healthcare executives in the USA believe that AI and Machine Learning are very effective at improving clinical outcomes.
  • The European Union is the second-highest contributor to the global AI healthcare market, with an expected revenue of 50.24 billion by 2028.
  • The US has a 58% revenue share in the global AI in healthcare market.

Market Overview by Region of AI in Healthcare

Artificial Intelligence in Healthcare Industry

The global Artificial Intelligence in healthcare market is projected to reach $173.55 billion by 2029, growing at a CAGR of 40.2% from its 2022 valuation of $16.3 billion.

The AI in healthcare sector is becoming more popular. Let’s read some insights about AI and healthcare industry.

  • One of the biggest trends among HealthTech businesses is the use of AI-powered medical imaging solutions.
  • Due to the ongoing growth and expansion of the medical industry, mergers and acquisitions are becoming very common. In order to expand their market reach or improve their AI skills, many giant organizations are acquiring smaller companies.
  • Healthcare delivery is revolutionized when AI is combined with complementing technologies such as blockchain and robotics to provide precision medicine.
  • Virtual assistants and chatbots driven by Generative AI are seeing an increase in requests because they offer round-the-clock assistance.

Market Revenue of Generative Ai in Healthcare

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AI in Healthcare Statistics

The AI has brought digital transformation for the healthcare industry. The market for AI in healthcare industry already has billions of dollars. Let’s go through the AI market share, AI future trends, and other interesting facts in this section.

  • AI has the potential to lower the cost of finding new drugs by 70%.
  • Predictive AI tools could reduce hospital admissions by half.
  • 60% of Americans are uncomfortable with their provider relying on AI.
  • In the NHS, 34% of AI apps are used for diagnosis.
  • By the end of 2023, AI stroke diagnosis technology will be available in every stroke center in the UK.
  • The adoption of AI in healthcare could save between 5% to 10%.
  • AI in healthcare statistics shows that 90% of nursing tasks will still be performed by humans in 2030.
  • By 2030, the market for AI in healthcare is projected to reach $187.95 billion.
  • By 2026, the market for robot-assisted surgery may be worth $40 billion.
  • Most of the money AI makes in healthcare comes from the US. It held a 58% market share in 2022, with the Asia-Pacific region coming in second with 40.9%.
  • Six businesses hold a dominant market share in the healthcare AI space.
  • AI might save $16 billion by reducing medication dosing errors.
  • By 2030, the market for AI in precision medicine is anticipated to grow to $14.5 billion.
  • AI and machine learning are expected to help reduce healthcare costs by $13 billion by 2025.
  • AI-integrated medical imaging is projected to grow at a 26.5% CAGR from 2021-2028.

AI in Healthcare Statistics by Patients

When it comes to patients or users, they are more scared of leveraging the advantages of new technology. However, some patients have experienced positive outcomes of AI for cancer treatment and therapy.

60% of Americans are not comfortable with their provider relying on AI-powered technologies.

US Healthcare Experts Hesitate Using AI Diagnosis

In a recent study, 11,004 US citizens were surveyed, and it was discovered that 6 out of 10 were uncomfortable about their healthcare professional using artificial intelligence (AI) to diagnose them or suggest treatments.

Around 60% of Americans believe AI will not lead to better health results.

Although 38% of participants thought that utilizing AI would lead to better health outcomes, 33% disagreed, and 27% had no opinion.

Concerns about AI's potential to harm the relationship between patients and providers (57%) and its potential to compromise patient record security (37%) are also present.

75% of Americans think AI will be used in healthcare in the coming days.

AI Revolutionizes Healthcare Soon

Artificial intelligence is a relatively new idea for a large portion of the population. 70% of people, including those who have heard a lot about AI, still think the healthcare sector will move too quickly and do not fully understand the risks to patients.

When it comes to skin cancer screening, 65% of US adults say they would either definitely or probably want AI to be utilized.

Al Will Be Used For Skin Cancer Diagnosis

One area where the public feels AI would be helpful is skin cancer screening, with 55% of respondents thinking it would be even more accurate than traditional screening. Interestingly, while uneducated minorities tended to be more scared of such an application, educated young men were the biggest proponents of AI.

Talking to an AI chatbot is more appealing to one in four Americans than seeing a real therapist.

Telephone therapy was the first, followed by messaging apps. These days, more and more people are using AI chatbots, like ChatGPT, to receive therapy without the need for human intervention. Now that AI therapy is so widely used, 40% of Americans would rather use it than see a real therapist in person.

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Adults in the UK are most worried about AI diagnoses.

According to a survey of 2,000 people in the UK, the most urgent worry about AI in healthcare is depending too much on technology for diagnosis (39%). Medicine allocation was 27%, while improving surgical techniques was 17%.

However, 26% thought that encouraging healthy lifestyles was the most beneficial use, followed by cutting down on wait times.

28% of adults in the UK would prefer AI in healthcare if shown evidence of improved outcomes.

The largest percentage of respondents (28%) cited proof of better patient outcomes when asked what would allay worries about AI in healthcare.

75.7% of radiologists believed that algorithmic outcomes based on AI were trustworthy.

AnswerNumber of respondents(%)
Yes14075.7
No3116.8
Skipped147.5
Total185100

The European Society of Radiology examined 185 radiologists who made patient diagnoses using algorithms powered by artificial intelligence.

Of them, the majority of 75.7% agreed that these algorithms are generally reliable. 16.8% of respondents to the same study said AI is unreliable, and 7.5% said they would rather not react because they didn't know enough or couldn't decide.

Future of AI in Healthcare Statistics

How does AI transform the healthcare industry? Let’s unravel the statistics of the future of AI in healthcare.

With predictive AI solutions, there could be a 50% reduction in hospital admissions.

According to a Clare Medical study, hospital admissions could be decreased by implementing artificial intelligence (AI) strategies to identify older individuals who are more likely to encounter "medical events". This reduces expenses, preserves lives, and makes hospital beds available for other emergencies.

AI models can predict cancer patient survival with 80% accuracy.

An artificial intelligence (AI) model created by researchers at the University of British Columbia can recognize patient features from notes taken by oncologists and predict cancer survival with 80% accuracy.

In an effort to improve results, this enables medical professionals to recommend patients to support services earlier or to pursue more aggressive treatment plans.

AI is twice as fast as humans in ruling out suspected heart attacks.

The effectiveness of treating heart attacks was much improved by a recent trial conducted by the British Heart Foundation and the NIHR. With 99.6% accuracy, CoDE-ACS was able to rule out a heart attack in twice as many patients as it could in humans.

This ensures that they are discharged or receive alternative care, freeing up staff members to attend to patients with a higher risk.

AI can detect early signs of dementia with the most accuracy.

CognoSpeak, an artificial intelligence tool, can identify Alzheimer's disease 90% of the time using patient language and speech patterns, which is comparable to traditional methods.

Algorithms that create counterfactuals are as accurate as the top 25% of physicians.

Associative algorithms, which identify diseases that have a significant correlation with a patient's symptoms, have proven successful for AI.

As opposed to the top 44% when utilizing associative algorithms, a counterfactual algorithm that employs causal reasoning was demonstrated to be as accurate as the top 25% of physicians.

Precision medicine powered by AI will be dominated by oncology and neurology.

More than 31% of the precision medicine market's revenue share in 2022 came from oncology (cancer diagnostics). Over the next ten years, there will be a rise in neurological conditions, including dementia and epilepsy, which are expected to dominate the market.

AI robot surgery could reduce hospital stays for patients by over 20%.

According to research, an artificial intelligence robot lowered complications in orthopedic surgery five times more than surgeons operating alone. Additionally, this may lead to a 21% decrease in patients' time in the hospital after surgery. Subsequent savings are estimated at $40 billion per year.

AI nursing assistants could reduce 20% of maintenance work.

AI-powered nurse aides are predicted to save $20 billion annually by cutting down on the 20% of time nurses spend on patient maintenance duties. Sensely's "Molly" chatbot illustrates this, asking patients questions, evaluating their symptoms, and directing them to the right resource.

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Implement AI for Your Healthcare IndustryAfter going through the above statistics on AI in the healthcare sector, we can conclude that the trust of healthcare providers in AI is growing, and investors' interest in developing AI-enabled healthcare software solutions offers many opportunities.Radixweb supports you in overcoming obstacles and uncertainties on your path to effective AI adoption. Our team is well-versed in the healthcare industry and its challenges, and we have the requisite experience integrating AI into software. When you leverage our healthcare software development services, our experienced developers will help you integrate AI into healthcare software with their in-depth understanding of the industry and its pain points.Reach out to us, and let's create a new success story together!Want even more interesting technologies-related statistics and facts?Check out Artificial Intelligence Statistics, NodeJS Statistics, Agile Statistics, and JavaScript Statistics from Radixweb’s Facts and Figures library.

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Dhaval Dave

Dhaval Dave

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About the Author

Dhaval Dave, a Operations Spearhead, and a technology enthusiast at Radixweb. He holds 16 years of experience with proficiency in PHP & frameworks, Node.js, React.js, MongoDB, AWS services, and many other technologies. He is a dynamic leader with exceptional communication skills and has a track record of delivering on-time success for global brands.