GITNUX MARKETDATA REPORT 2024

Ai In The Healthcare Industry Statistics

AI usage in the healthcare industry is expected to grow rapidly in the coming years, with a projected market size of over $6.6 billion by 2021.

Highlights: Ai In The Healthcare Industry Statistics

  • By 2026, the AI in health care market is expected to reach $45.2 billion, up from $4.9 billion in 2020.
  • Up to 47% of healthcare organizations are planning to integrate AI within the next two years.
  • As of 2020, over 50% of leading healthcare organizations are investing in artificial intelligence.
  • Clinical trial research in healthcare could be assisted by AI, potentially achieving up to $13 billion in savings per year.
  • 86% of healthcare providers, technology vendors, and life sciences companies are currently using artificial intelligence in their operations.
  • 36% of healthcare executives believe AI will significantly transform their businesses within the next 3 years.
  • Adoption of AI within healthcare is set to save the US healthcare economy $150 billion annually by 2026.
  • Global AI in healthcare is expected to grow at a compound annual growth rate (CAGR) of 41.4% from 2021 to 2028.
  • 30% of healthcare costs are associated with administrative tasks that AI can potentially automate.
  • Approximately 35000 AI research papers related to healthcare were produced in 2019, an increase of 12% from previous year.
  • A survey found that 62% of healthcare professionals believe that AI will improve patient outcomes.
  • 1 in 3 consumers are comfortable with AI assisting doctors in treatment procedures.
  • As of 2021, more than 150 startups are developing AI solutions for healthcare imaging.
  • Currently, more than 50% of hospitals have AI in their strategic plans for the near future.
  • Over 35% of healthcare organizations plan to leverage AI within 2 years, and 50% within 5 years.
  • AI-powered robotic surgery could potentially generate annual savings of $40 billion by 2026.
  • As of 2020, the major application areas of AI in healthcare include Pathology, Radiology, Cardiology, and Oncology.

AI Transparency Disclaimer 🔴🔵

Find all AI Apps we have used to create this article.

Hint: If you are a student, academic or journalist we can wholeheartedly recommend them :)

✍ We save hours writing with Jenni’s AI-powered text editor* and also use Rytr* for creating articles.

📄 We find information more quickly in our research process by chatting with PDFs, Reports & Books with the help of ChatPDF*, PDF.ai* & Askyourpdf*.

🔎 We search for citations and check if a publication has been cited by others with Scite.ai*.

🤖 We use QuillBot to paraphrase or summarize our research.

✅ We check and edit our research with ProWritingAid and Trinka.

🎉 We use Originality’s AI detector & plagiarism checker* to verify our research.

Table of Contents

In recent years, the healthcare industry has been revolutionized by the integration of artificial intelligence (AI) technology. From diagnosis and treatment to patient care and administrative tasks, AI is enhancing the overall efficiency and quality of healthcare services. In this blog post, we will delve into the latest statistics surrounding the use of AI in the healthcare industry and explore the implications of this technological advancement on patient outcomes and healthcare professionals. Join us as we uncover the transformative power of AI in revolutionizing healthcare delivery.

The Latest Ai In The Healthcare Industry Statistics Explained

By 2026, the AI in health care market is expected to reach $45.2 billion, up from $4.9 billion in 2020.

The statistic provided indicates a substantial growth projection for the artificial intelligence (AI) in health care market, indicating a significant increase in market size from $4.9 billion in 2020 to an estimated $45.2 billion by 2026. This growth represents a remarkable compound annual growth rate over this six-year period. The rising adoption of AI technologies in the health care sector is expected to drive this exponential market expansion, with applications ranging from medical imaging analysis, drug discovery, personalized treatment plans, predictive analytics, and administrative tasks automation, among others. The increasing focus on improving patient outcomes, enhancing operational efficiency, reducing healthcare costs, and addressing the challenges associated with the growing volume of healthcare data are key drivers fuelling this expected market growth in AI healthcare solutions over the forecast period.

Up to 47% of healthcare organizations are planning to integrate AI within the next two years.

The statistic “Up to 47% of healthcare organizations are planning to integrate AI within the next two years” suggests that nearly half of healthcare organizations are considering or actively working towards incorporating artificial intelligence (AI) technologies into their operations within a relatively short timeframe. The use of AI in healthcare can bring benefits such as improved diagnostic accuracy, efficiency in routine tasks, and personalized patient care. This statistic indicates a significant trend towards the adoption of AI technology in the healthcare sector, reflecting the industry’s interest and recognition of the potential advantages that AI can offer in enhancing healthcare delivery and patient outcomes.

As of 2020, over 50% of leading healthcare organizations are investing in artificial intelligence.

The statistic “As of 2020, over 50% of leading healthcare organizations are investing in artificial intelligence” indicates a growing trend within the healthcare industry towards adopting and integrating artificial intelligence technologies into their operations. This signifies a significant shift towards harnessing the power of AI to enhance various aspects of healthcare delivery, including diagnosis, treatment planning, patient care, and operational efficiency. The increasing investments in AI suggest that healthcare organizations recognize the potential benefits of leveraging advanced technologies to improve patient outcomes, streamline processes, and drive innovation in the sector. This statistic highlights the industry’s readiness to embrace AI as a transformative tool in healthcare management and service provision.

Clinical trial research in healthcare could be assisted by AI, potentially achieving up to $13 billion in savings per year.

The statistic suggests that utilizing artificial intelligence (AI) in clinical trial research within the healthcare industry has the potential to generate significant cost savings. By leveraging AI technologies in various stages of the clinical trial process, such as patient recruitment, data analysis, and predictive modeling, the industry could achieve up to $13 billion in annual savings. AI has the capability to streamline and automate labor-intensive tasks, improve the efficiency and accuracy of data analysis, and enhance decision-making processes, ultimately leading to cost reductions and accelerated research timelines in healthcare clinical trials. This statistic highlights the immense opportunity for AI to revolutionize the way clinical trials are conducted, offering substantial financial benefits and potentially improving patient outcomes.

86% of healthcare providers, technology vendors, and life sciences companies are currently using artificial intelligence in their operations.

The statistic that 86% of healthcare providers, technology vendors, and life sciences companies are currently using artificial intelligence in their operations indicates a widespread adoption of AI technology within these industries. This high percentage suggests that organizations within healthcare, technology, and life sciences sectors are actively leveraging AI to improve various aspects of their operations, ranging from patient care and treatment outcomes to drug discovery and development processes. The prevalence of AI usage underscores the growing recognition of its potential benefits in enhancing efficiency, accuracy, and innovation across a broad spectrum of activities within these industries. The statistic implies that AI has become an integral tool for organizations seeking to stay competitive, drive growth, and deliver better outcomes in today’s rapidly evolving technological landscape.

36% of healthcare executives believe AI will significantly transform their businesses within the next 3 years.

The statistic “36% of healthcare executives believe AI will significantly transform their businesses within the next 3 years” suggests that a substantial proportion of healthcare executives are optimistic about the potential impact of artificial intelligence (AI) on their industry in the near future. This indicates a growing awareness and anticipation within the healthcare sector regarding the transformative power of AI technologies, such as machine learning and data analytics. The high percentage of executives holding this belief also implies a readiness for change and a willingness to embrace new technologies to enhance efficiency, improve patient care, and drive innovation within healthcare organizations.

Adoption of AI within healthcare is set to save the US healthcare economy $150 billion annually by 2026.

The statistic stating that the adoption of artificial intelligence (AI) within healthcare is projected to save the US healthcare economy $150 billion annually by 2026 suggests that integrating AI technology into various aspects of healthcare will lead to significant cost savings. AI has the potential to streamline processes, improve efficiency, enhance accuracy in diagnostics, optimize treatment plans, and reduce administrative burdens. By harnessing the power of AI, healthcare providers can potentially lower costs associated with operational inefficiencies, medical errors, unnecessary tests, and administrative tasks. This financial benefit is expected to alleviate the economic strain on the healthcare sector while also potentially improving patient outcomes and overall quality of care.

Global AI in healthcare is expected to grow at a compound annual growth rate (CAGR) of 41.4% from 2021 to 2028.

The statistic stating that global AI in healthcare is projected to grow at a compound annual growth rate (CAGR) of 41.4% from 2021 to 2028 indicates the anticipated rapid expansion of artificial intelligence technology applications within the healthcare industry over the specified time frame. This significant growth rate suggests a substantial increase in the adoption and utilization of AI tools and solutions in various healthcare applications, including diagnostics, treatment planning, personalized medicine, and administrative processes. This trend underscores the potential of AI to revolutionize healthcare delivery, enhance patient outcomes, improve operational efficiencies, and drive innovation in the sector, thereby reflecting a promising trajectory for the integration of advanced technologies in modern healthcare practices.

30% of healthcare costs are associated with administrative tasks that AI can potentially automate.

The statistic that 30% of healthcare costs are attributed to administrative tasks that artificial intelligence (AI) has the potential to automate highlights the significant impact technology can have on streamlining healthcare operations. By automating administrative tasks such as billing, scheduling, and data entry, AI can help reduce inefficiencies, minimize errors, and ultimately lower costs in the healthcare industry. This statistic underscores the potential for AI to improve the overall efficiency and effectiveness of healthcare delivery by freeing up resources that can be redirected towards patient care and improving outcomes.

Approximately 35000 AI research papers related to healthcare were produced in 2019, an increase of 12% from previous year.

The statistic indicates that in 2019, there were approximately 35,000 research papers focused on artificial intelligence (AI) within the field of healthcare, representing a 12% increase from the previous year. This substantial rise in research output suggests a growing interest and investment in leveraging AI technologies to address healthcare challenges. The surge in AI research papers within the healthcare domain reflects the increasing recognition of AI’s potential to revolutionize healthcare delivery, improve medical diagnoses, personalize treatment options, enhance patient outcomes, and drive innovations in the healthcare industry. The statistic highlights the significant role that AI is playing in advancing healthcare research and underscores the concerted efforts to harness AI’s capabilities for solving complex medical problems and ultimately improving global healthcare systems.

A survey found that 62% of healthcare professionals believe that AI will improve patient outcomes.

The statistic indicates that a majority (62%) of healthcare professionals surveyed hold the belief that the implementation of artificial intelligence (AI) in healthcare will lead to improved patient outcomes. This suggests that a substantial portion of professionals within the healthcare industry are optimistic about the potential benefits that AI technologies can offer in terms of enhancing patient care and treatment effectiveness. The finding serves as an indication of the growing acceptance and expectation for AI-driven solutions to positively impact the quality and efficacy of patient outcomes within the healthcare sector.

1 in 3 consumers are comfortable with AI assisting doctors in treatment procedures.

The statistic ‘1 in 3 consumers are comfortable with AI assisting doctors in treatment procedures’ suggests that approximately 33.3% of the population surveyed find the idea of artificial intelligence (AI) being involved in medical treatment procedures to be acceptable. This data implies that there is a notable segment of the consumer population who are open to the integration of AI technology in healthcare settings. This information is valuable for healthcare providers and policymakers looking to adopt AI solutions in the medical field, as it highlights that a significant proportion of consumers may be receptive to such advancements. Understanding consumer comfort levels with AI can help inform decision-making processes and guide the implementation of AI-assisted treatment procedures in healthcare contexts.

As of 2021, more than 150 startups are developing AI solutions for healthcare imaging.

The statistic indicates a growing trend in the healthcare industry as of 2021, with over 150 startups actively working on developing artificial intelligence (AI) solutions specifically for healthcare imaging. This suggests a significant interest and investment in leveraging AI technology to enhance and streamline medical imaging processes, potentially leading to improved diagnostic accuracy, efficiency, and patient outcomes. The increasing number of startups focusing on this area showcases the potential for AI to revolutionize healthcare imaging practices, opening up opportunities for innovation and advancement in the field.

Currently, more than 50% of hospitals have AI in their strategic plans for the near future.

The statistic states that currently, over half of hospitals have included artificial intelligence (AI) in their strategic plans for the near future. This suggests that a significant portion of hospitals are recognizing the potential benefits of implementing AI technologies in their operations, such as improving patient care, streamlining administrative processes, and enhancing decision-making capabilities. The adoption of AI in healthcare settings is seen as a promising avenue for driving innovation and efficiency within the industry, with many hospitals actively considering its integration into their future plans to stay competitive and provide better services to patients.

Over 35% of healthcare organizations plan to leverage AI within 2 years, and 50% within 5 years.

The statistic indicates that a significant proportion of healthcare organizations are looking to integrate artificial intelligence (AI) technologies into their operations in the near future. Specifically, over 35% of healthcare organizations plan to incorporate AI within the next 2 years, highlighting the growing trend of adopting AI solutions in the industry. Additionally, the statistic further reveals that 50% of healthcare organizations are expected to leverage AI within the next 5 years, underscoring the increasing recognition of the potential benefits that AI can offer in improving healthcare delivery, operational efficiency, and patient outcomes. This suggests a notable shift towards the adoption of AI technologies in healthcare settings over the coming years as organizations aim to enhance their capabilities and stay competitive in an evolving landscape.

AI-powered robotic surgery could potentially generate annual savings of $40 billion by 2026.

The statistic suggests that the implementation of AI-powered robotic surgery has the potential to yield substantial cost savings within the healthcare industry, amounting to an estimated $40 billion annually by the year 2026. This projection likely takes into consideration the improved efficiency and precision that AI technology can bring to surgical procedures, resulting in reduced complications, shorter hospital stays, and overall lower healthcare costs. Additionally, the automation and data-driven decision-making offered by AI-powered robotic surgery may lead to optimized resource utilization and streamlined processes, further contributing to the projected financial savings. Overall, this statistic underscores the promising financial impact that advanced technology can have on the healthcare system through increased effectiveness and efficiency in surgical practices.

As of 2020, the major application areas of AI in healthcare include Pathology, Radiology, Cardiology, and Oncology.

This statistic from 2020 highlights the major application areas of artificial intelligence (AI) in the field of healthcare, focusing on Pathology, Radiology, Cardiology, and Oncology. AI technologies have been increasingly integrated into these areas to enhance diagnostic accuracy, improve treatment decisions, and streamline healthcare processes. In Pathology, AI can assist in analyzing tissue samples for faster and more accurate disease detection. In Radiology, AI algorithms can help in interpreting medical imaging scans for early disease detection. Cardiology benefits from AI tools that can analyze heart imaging and data for better patient care, while in Oncology, AI systems aid in precision medicine, treatment planning, and monitoring of cancer patients. Overall, the use of AI in these healthcare domains showcases the potential of cutting-edge technology to revolutionize the way medical professionals diagnose, treat, and manage various health conditions.

References

0. – https://www.blogs.nvidia.com

1. – https://www.www.grandviewresearch.com

2. – https://www.www.ibm.com

3. – https://www.www.statista.com

4. – https://www.www2.deloitte.com

5. – https://www.www.optum.com

6. – https://www.blogs.microsoft.com

7. – https://www.www.accenture.com

8. – https://www.www.pwc.com

9. – https://www.www.nature.com

10. – https://www.www.jpmorgan.com

11. – https://www.www.mckinsey.com

12. – https://www.www.contractpharma.com

13. – https://www.www.idc.com

14. – https://www.www.marketsandmarkets.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

Table of Contents

... Before You Leave, Catch This! 🔥

Your next business insight is just a subscription away. Our newsletter The Week in Data delivers the freshest statistics and trends directly to you. Stay informed, stay ahead—subscribe now.

Sign up for our newsletter and become the navigator of tomorrow's trends. Equip your strategy with unparalleled insights!