Do you know that the global AI in healthcare market size was worth $22.45 billion in 2023? It is forecasted to reach a market size of USD88.26 billion by 2028!
Insane, right?
You’ll agree with me that AI in the medicine and healthcare sector has improved patient service quality over the years.
The term “AI in healthcare” describes a situation where machine intelligence or cognitive computing can recognize patterns and make detections in the healthcare industry. This includes various applications such as disease diagnosis, medical image analysis, patient monitoring, and robotic surgery.
AI in healthcare can improve diagnosis, treatment, and prevention, leading to a more efficient, accurate, and personalized patient experience.
It can also be used to predict and track the spread of infectious diseases by analyzing large amounts of data.
In this usual trend roundup, I’ll uncover some of the benefits, struggles, and even trends related to AI’s application in healthcare.
🔑 Most Important AI in Healthcare Statistics
General AI in Healthcare Statistics
1. The global AI in healthcare market size was worth $22.45 billion in 2023
(Grand View Research)
Because AI in healthcare is rapidly growing, the market size is projected to grow at a CAGR of 36.4% from 2024 to 2030.
Many physicians and healthcare providers opt to adopt AI in their healthcare organizations.
2. More businesses are moving towards the use of AI in their daily functioning
(IBM Global AI Adoption Index 2022)
As of 2022, 35% of companies reported using AI in their business, and about 42% of businesses reported that they are slowly shifting towards using AI.
This is a major advancement because the technologies involved in AIs are helping to improve efficiency, accuracy, and safety in various ways.
3. More companies are already implementing or have the intentions of implementing AI to their sustainability goal
(IBM Global AI Adoption Index 2022)
About 66% of companies are either currently implementing or intending to enforce AI to their sustainability goals.
Sustainability goals typically focus on improving the quality and affordability of care, as well as the environmental impact of the healthcare system.
Sustainability goals can also focus on social issues, such as improving access to care for underserved communities. AI tools can be used to make this so much easier.
4. There is a rapid growth and adoption rate of AI-based software among healthcare providers and patients
(Grand View research)
Owing to the rapid growth and adoption rate of AI-based software among healthcare providers and patients, in 2023, the software solutions segment dominated the market with a revenue share of 40.5%.
5. The age groups most benefited or satisfied by AI in healthcare industries include 18 to 29 years (44%), 30 to 49 years (32%), 50 to 64 years (39%), and over 65 years (34%).
(Pew Research)
6. Regarding ethnicity, Hispanics (40%) benefit most from AI in healthcare. This is followed by the whites (37%) and the blacks (35%).
(Pew Research)
7. Postgraduates are the most likely to use AI in the healthcare industry (50%), followed by college graduates (42%), college students (35%), and high school or less students (31%).
(Pew Research)
8. The drug discovery market in the healthcare sector is ever-rising and has the potential to grow even more
(Precedence Research)
In 2022, the global drug discovery market size was estimated at $55.46 billion and is expected to be worth $133.11 billion in 2032, growing at a CAGR of 9.2% from 2023 to 2032.
9. The healthcare data surge has been predicted to exceed 10 trillion gigabytes by 2025
(Forbes)
In the healthcare sector, a “surge” refers to a sudden, sharp increase in demand for healthcare services. This can happen for various reasons, such as natural disasters or public health emergencies.
During a healthcare surge, there is often an increased need for medical staff, supplies, and resources, and the healthcare system may need to adapt quickly to meet the increased demand. AI-enabled devices can be used in these situations to make things easier for health workers.
10. The AI in Medical Diagnostic Market was worth $1.3 billion in 2023
(Markets and Markets)
With a CAGR of 23.2% from 2023 to 2028, the market size is expected to be worth over $3.7 billion by 2028.
This rapid growth in the market is due to the accessible funds made available for AI-based startups. The market is divided into three segments — software, hardware, and services.
11. AI in the healthcare market will increase between 2016 and 2025
(Statista)
Between the years 2016 and 2025, it has been estimated that AI in the healthcare market will increase from roughly $1 billion to more than $28 billion.
This shows that healthcare organizations are increasingly adopting AI, but there is still a long way to go before it’s fully integrated into the industry.
12. Healthcare organizations (36%) are looking towards implementing natural language processing
(Statista)
Research has shown that 36% of healthcare organizations have implemented or plan to implement natural language processing into their healthcare operations.
13. A lot of healthcare organizations have an AI and automation strategy
(Statista)
In 2020, 90% of large healthcare organizations asserted that they have an AI and automation strategy. This is an increase from 53% in 2019.
There are several reasons why healthcare organizations are adopting AI and automation strategies. One reason is the need to improve efficiency and productivity.
Healthcare organizations are under increasing pressure to do more with less, and AI and automation technologies can help them do this by streamlining processes and reducing manual tasks.
Another reason is the increasing availability of healthcare data, which can be used to train AI algorithms and improve the quality of care.
14. In 2023, the software remedies segment dominated the market with the largest revenue share of 40.5%
(Grand View Research)
Software remedies are dominating the healthcare market due to the adoption of AI. This is due to the abrupt adoption rate of AI-based software among healthcare providers.
15. The North American region was the highest market share holder in 2022
(Precedence Research)
An increased bias towards the advanced and latest digital technologies characterizes North America. The strong and developed healthcare in North America supports the growth of artificial intelligence (AI) in the healthcare market.
16. Robot-assisted surgeries and Virtual nursing assistant AI applications are two of the latest trends in healthcare
(Statista)
In 2026, the cost of the possible benefits of using robot-assisted surgery in healthcare localities worldwide was forecasted to amount to $40 billion. Virtual nursing assistant AI applications are also expected to amount to $20 billion.
Virtual healthcare assistants are digital assistants that can provide healthcare information and services to patients and healthcare specialists.
They use AI technology to understand natural language and can also respond by providing patients with information about symptoms, medications, and treatment options.
Virtual Healthcare assistants can be accessed via chatbots, voice assistants, or mobile apps and are normally used to complement traditional healthcare services.
17. 50% of clinicians in Europe and North America claim that the majority of clinical decisions in the next ten years will be purely based on AI
(Statista)
18. Chatbots will soon become a major means that patients will use to manage their medications
(Statista)
53% of healthcare providers in Asia Pacific and South America believe that by 2031, many patients will use chatbots to manage their medications.
19. Most healthcare providers claim not to consider AI as their business solution actively
(Statista)
About 26% of healthcare specialists claim that their organizations were not actively considering using AI.
This is because of some controversies concerning the use of AI in healthcare regarding its safety and other concerns that most healthcare specialists have.
20. North America is the dominating region in the AI in the healthcare market as of 2023
(Grand View Research)
North America held the largest revenue share of 57.7% in 2023. This is due to the improvements in healthcare infrastructure, the adoption of AI/ML technologies, and some other key market players.
21. Most Femtech companies have already utilized AI technology
(Statista)
In 2021, 29% of Femtech companies that utilized AI technology were in the reproductive health sector. Femtech, also known as feminine tech, is a product, software, or service developed based on new technologies that are directed at women’s health.
22. 45% of clinicians in Germany claim that the level of patient data is overwhelming
(Statista)
23. Medical assistants are predicted to be affected most by the implementation of AI in healthcare
(Statista)
24. The FDA has already approved over 300 AI-enabled devices
(Politico)
FDA has approved over 300 AI-enabled devices since 1997. 241 of these devices went into radiology, 41 into cardiovascular, 13 into Hematology, 12 into Neurology and 36 into other sectors.
25. 56% of U.S. business leaders in healthcare believe that AI has brought value to the industry
(Statista)
In a 2021 survey, 16% of healthcare business leaders in the U.S. agreed AI has brought significant value to the industry. Another 40% agree it has brought “somewhat more value”.
Only 4% believe otherwise, citing that it AI has brought almost no value to the industry.
26. Over 100 medication and biologic applications submitted to the US Food and Drug Administration in 2021 incorporated AI/ML components.
(Morgan Stanley)
27. According to Research Nester’s report, some of the top players in the AI healthcare industry are Google LLC, Siemens Healthcare GmbH, Crunchbase Inc., etc.
(Research Nester)
Other top players include Philips International B.V., General Electric Company, Well Tokyo, Inc., Ginger.io Inc., Micron Technology, Inc, etc.
The Adoption of AI into Healthcare Statistics
28. Robot-assisted surgeries are said to be dominating the healthcare market
(Grand View Research)
The robot-assisted surgery segment dominated the market in 2023 with the largest revenue share of 24.5%, and it is also expected to witness a CAGR of 39.2% from 2021 to 2030.
29. As technology advances, about 171 artificial intelligence- and machine learning-enabled medical devices have been discovered
(FDA.Gov)
These devices function in different areas of specialization, such as radiology, neurology, hematology, Gastroenterology, Clinical chemistry, etc.
30. About 20% of healthcare organizations were in the early stage of implementing AI. Another 25% were already in the process of piloting or testing AI technologies
(Statista)
This shows that healthcare organizations are increasingly adopting AI, but there is still a long way to go before it’s fully integrated into the industry.
31. Most healthcare organizations are now very familiar with robotic process automation
(Statista)
In 2020, about 66% of healthcare institutions were familiar with robotic process automation. This is an increase from 50% in the previous year.
Robotic process automation is a type of software that automates repetitive tasks.
It uses algorithms to interpret and process data to create more time for health workers to focus on more complex tasks requiring creativity and judgment.
In healthcare, RPA can be used to automate tasks like appointments and scheduling.
32. AI in most healthcare institutions is still in the pilot stage or early stage of initiation
(Statista)
A survey done among healthcare providers in April 2021 has reported that 24% of medical providers reported that artificial intelligence(AI) was in the pilot stage in their hospitals and health systems.
A further 22% of health officials said that theirs were in the early stages of initiation.
33. For most Clinicians, AI adoption is already in the mature stage
(Statista)
In 2021, 88% of healthcare organizations in the mature stage of AI adoption claimed that clinicians were the intended users of their AI technologies.
34. 53% of healthcare providers claim that AI adoption is progressing appropriately
(Statista)
However, some other healthcare providers believe that it is moving faster than it should.
35. 79% of people in Canada claimed to be comfortable with the healthcare system adopting artificial intelligence for tracking epidemics
(Statista)
36. 76% of people are satisfied with using AI to save time by optimizing workflow in healthcare environments
(Statista)
37. 33% of Baby Boomers and 59% of millennials were fascinated by the potential of AI to affect healthcare positively
(Statista)
38. AI/ML is used in some form by 94% of healthcare organizations.
(Morgan Stanley)
39. IBM, Google, Microsoft, Amazon, Apple, and NVIDIA are among the major firms investing in AI
(Medical Futurist)
These large tech companies adopt artificial intelligence as a vital tool for transforming healthcare. Each one of them wants to strategically position itself to acquire a sizable share of the lucrative healthcare sector.
The tech companies are concentrating on different AI sectors in healthcare. For example, Amazon is concentrating on logistics and pharmacies, NVIDIA is focused on AI capabilities.
On the other hand, Microsoft is focused on cloud solutions, Apple is on consumer tech, and Google is on AI.
In 2020, Microsoft introduced a healthcare-focused cloud called “Cloud for Healthcare”.
40. About 30% of health specialists worldwide claim that employees are saving time with new AI and automation software and tools
(IBM Global AI Adoption Index 2022)
41. Artificial intelligence (AI) has been proven to provide benefits such as efficiency, reduced cost, and improved network performance
(IBM Global AI Adoption Index 2022)
AI automation has proven to have certain benefits, such as 54% efficiency and cost savings, 53% improvement in network performance, and 48% satisfactory experiences for people.
42. AI applications are estimated to save the US healthcare system more money every year
(National Library of Medicine)
It is predicted that, by 2026, AI applications will save the US healthcare system an estimated $150 billion every year.
This is due to the reduced costs associated with various tasks, such as diagnosis, medical image analysis, and patient monitoring
43. Using AI has given physicians 20% more time on patients
(Statista)
This is because the work of a physician is split 50-50 between treating patients and administrative work. Thus, more time is made available when the administrative part of their work is fully taken care of.
44. The use of AI technology helps many health organizations with their data integration
(Statista)
45% of healthcare organizations claim that data integration is the main function for which their organization used AI technology as of 2021.
45. Using AI in healthcare has the potential to lead to more accurate diagnosis
(Statista)
The use of AI in healthcare has the potential to lead to more accurate diagnosis, provide better care and shorten the time spent on administrative tasks of health workers.
46. 40% of healthcare providers claim that AI has brought more value to the healthcare industry than was previously expected
(Statista)
47. 22% of healthcare providers claim that using AI to incorporate diagnostics would bring immense benefits to patient care
(Statista)
48. 56% of healthcare executives believe that investment in AI technology would create more job opportunities for people
(Statista)
49. 55% of healthcare executives believe that investment in AI will have a great impact on improving outcomes and patient experience
(Statista)
50. Using AI would free up work hours for health workers
(Statista)
In 2030, the share of hours worked in selected areas under healthcare would be freed up by automation.
51. AI can be used in healthcare to warn and prepare patients in the emergency room
(Hubspot)
52. AI will become more common in healthcare due to a significant decrease in available physicians and an increase in the geriatric population
(Research Nester)
AI in Healthcare Adoption Statistics By Region
53. According to research, the top 3 countries adopting AI in health/medicine, in terms of research, are The U.S, China, and Italy
(Research Gate)
54. The AI healthcare market in the Asia Pacific region was estimated to have the largest market share in the industry in 2023 and provide more business opportunities
(Research Nester)
55. In 2023, AI held a 3% market share in the Japanese healthcare industry
(Enterprise Apps Today)
The industry was expected to reach $1.2 billion by 2023.
Japan’s AI healthcare sector uses AI to diagnose diseases. They also use it for drug discovery and personalized medicine.
56. The European AI healthcare industry was expected to reach $5.81 billion in 2023
(Enterprise Apps Today)
Europe’s AI healthcare market growth is due to the high demand for AI-based healthcare answers and the growing desire to reduce high healthcare costs.
The increase in persistent illnesses also contributes to the growth of the AI healthcare market in Europe.
57. Mexico is another region rapidly adopting AI in its healthcare, and the market is expected to grow at a CAGR of 43.2% by 2027
(Enterprise Apps Today)
AI in Mexico’s healthcare is used for drug discovery, patient monitoring, and scientific imaging.
58. The U.S is one of the regions with the most AI adoption in healthcare, with 55% of the market share in Q2 2023
(Enterprise Apps Today)
This is because the U.S government is heavily AI and they have good AI infrastructures.
59. Just like the U.S, Canada is also hugely invested in adopting AI in healthcare
(Enterprise Apps Today)
The AI healthcare market in Canada is projected to increase at a CAGR of 43.1% between 2023 and 2028.
Concerns of AI in Healthcare Statistics
60. According to a study, there are primary ethical issues in using AI that patients are concerned about.
(NLM)
In the study, the primary ethical issues of artificial intelligence in healthcare and medicine are:
- patients’ privacy and data protection
- informed consent and autonomy
- social gaps and justice
- medical consultation, empathy, and sympathy
61. The major concerns regarding adopting AI in healthcare are a lack of knowledge, the cost of AI tools, and data complexity
(IBM Global AI Adoption Index 2022)
The adoption of AI is majorly hindered by the fact that 34% of people suffer from a lack of knowledge or expertise, 29% of people claim that the price of these tools is too high, and 24% of people claim that there is too much data complexity.
62. In 2021, a survey conducted showed that 52% of people’s concerns about AI in healthcare have to do with threats to security and privacy
(Statista)
63. Safety issues are people’s number one concern regarding AI in healthcare. Next is the bias of machines
(Statista)
According to the same survey, 45% of people were worried that AI has safety issues, and 35% were more concerned about the bias of the machines.
64. Accuracy is an important benchmark when it comes to Artificial Intelligence in the healthcare sector
(Statista)
45% of healthcare organizations claim that state-of-the-art accuracy is an important criterion when evaluating matching learning and Artificial Intelligence in the healthcare sector.
65. One major concern around the use of AI is the loss of human interaction
(Statista)
28% of healthcare providers claimed that one major concern around the use of AI in 2021 was the loss of human interaction.
66. Most large healthcare organizations have the problem of resource restrictions and lack of staff.
(Statista)
44% of large healthcare organizations say that their major challenge towards implementing AI was resource restrictions and lack of staff.
67. A major limitation to using AI in accessing patients’ data is the health laws that have been put in place by the government.
(World Health Organization)
Some health laws restrict collecting and processing patients’ personal data or information.
An example of these health laws that limit the use of AI is the “Health Insurance Portability and Accountability Act (HIPAA)”.
HIPAA limits patient data sharing, making it difficult to train AI algorithms that require large amounts of data.
This makes consent before using a patient’s data in research very important, and this can be challenging for AI systems that analyze large datasets.
68. 60% of Americans are uncomfortable with their healthcare provider relying on AI for their health care.
(Pew Research)
Many Americans don’t support the idea of using AI in matters of health. Only 39% say they feel comfortable with it.
AI is still a new phenomenon, and most people are unwilling to take chances when it concerns their health. A majority of Americans do not believe that AI will improve their health.
Future of AI in Healthcare Statistics
69. Automation, AI, and machine learning will move beyond administrative processes into all corners of operations in the patient’s experience.
(CGI)
70. According to a 2023 survey in the U.S., 30% of healthcare professionals say adopting AI for clinical decision support tools is a top priority.
(Statista)
Additionally, 25% cite AI use cases for predictive analytics and risk stratification as a priority.
71. With the rise of AI in healthcare, physicians can now spend more time (67%) on patients. This is an increase compared to the 50% time they spent before AI.
(Statista)
Before AI, physicians had to divide their time between attending to patients and handling administrative tasks. This was challenging, especially since patients required more time and care.
Fortunately, with AI, physicians can now concentrate more on the patients.
72. AI-based healthcare solutions will become increasingly prevalent in the next 3 to 5 years.
(Frontiers)
73. About three-quarters (75%) of healthcare consumers say they don’t clearly understand how AI is used in healthcare.
(NRC Health)
74. Although there are some concerns about using AI in healthcare, 40% of Americans believe using AI in healthcare will help reduce the number of mistakes healthcare providers make.
(Pew Research)
75. Meanwhile, the average predicted budget allocation to these technologies in the healthcare industry is expected to rise from 5.7% in 2022 to 10.5% in 2024.
(Morgan Stanley)
76. The virtual assistance segment in AI healthcare will experience significant growth in the forthcoming years.
(Research Nester)
Over 7 billion digital voice assistants will operate across the world by 2024. The projected growth in the virtual assistance segment is due to the increased use of virtual assistance for media consulting.
Final Thoughts
AI has great potential to improve healthcare, but concerns and limitations are also involved. On the one hand, AI can be used to automate repetitive tasks, analyze large amounts of data, and make predictions that can improve patients’ health.
You also need to be aware that laws and regulations around privacy, consent, and data security can make it difficult to implement AI systems in healthcare. However, despite its limitations, more healthcare organizations are tending towards it because it is profitable.
With these insightful AI in healthcare statistics, you can see the future of AI in healthcare organizations and how patients are receiving this new development.
You can also make informed decisions about adopting AI for your healthcare organization
FAQs
1. How Big is Generative AI in the Healthcare Market?
The global generative AI market size is projected to rise from $43.87 billion in 2023 to $667.96 billion by 2030, at a CAGR of 47.5% during the forecast period.
2. What is the Impact of Artificial Intelligence in Healthcare and Hospitals?
Artificial Intelligence has impacted the healthcare industry by providing health services such as patient diagnosis, patient monitoring and care, and drug discovery and development.
3. How is AI Being Used in Healthcare?
AI can be used to facilitate disease diagnosis, interpret patients’ data, choose treatment plans, automate surgeries, and enhance clinical decision-making
4. What is the Role of AI in the Future of Healthcare?
The role of AI in the future of healthcare will be seen in the use of predictive analytics, virtual assistants, chatbots to respond to patients, and automated administrative tasks.
5. What is the Most Common AI in Healthcare?
- Medical Imaging.
- Drug creation and development.
- Managing of medical records.
6. What are the Limitations of AI in Healthcare?
AI in healthcare has experienced some limitations, such as high costs. It also requires constant monitoring and human oversight to ensure that these AI-medical software or instruments.
7. How Long Has AI Been Used in Healthcare?
AI has been used since the late 1970s into the. The first AI-generated resource, a computer in biomedicine, was produced in 1971.
8. How Accurate is AI in Medicine?
Reports indicate that AI programs in medicine are at least 95% accurate regularly.
Sources & References:
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