The dynamics of Applied AI in healthcare market have been profoundly affected by the industry’s pursuit for improved patient outcomes, operational efficiency and transformative potential of advanced technologies. There are many uses of Applied AI in Healthcare that include medical imaging, diagnostic support, drug discovery, personalized medicine and patient engagement. Various key drivers account for the market dynamism of this particular area reflecting the ongoing evolution of healthcare practices and searching for innovative solutions to complex challenges.
One of the main drivers shaping the market dynamics of Applied AI in Healthcare is the push for better diagnostic accuracy and treatment efficacy. For example, AI applications can analyze medical images or data from patients along with genomic information that helps healthcare people to identify diseases, predict response to treatments and personalize care plans. This involves using Artificial Intelligence to process large volumes of data, detect subtle patterns as well as provide real-time insights which enable better clinical decisions making processes leading to early detection of diseases as well as treatment optimization. It is a quest for better outcomes that has driven incorporation of AI technologies into healthcare settings.
Inter alia, development in telemedicine and remote patient monitoring significantly influences the market dynamics regarding Applied AI in Healthcare. As such, artificial intelligence-powered solutions help with remote diagnostics; teleconsultations; and continuous monitoring of patients’ health conditions when health care delivery extends beyond traditional settings. In order to facilitate virtual care, disease management and preventive interventions, such systems work together with analysis on patient-generated data among other sources like wearable devices including electronic health records (EHRs). By incorporating AI into telehealth it not only improves access but also makes sure that there is personalized and patient-centered approach both.
In addition demand for operating efficiency/ costs containment are major factors which influence how markets operate under applied Artificial Intelligence (AI) implementation context. Such solutions are driven by automation of administrative tasks within organizations providing medical services otherwise known as healthcare organizations thereby streamlining workflow processes while optimizing resource allocation accordingly. Operation data is analyzed by machine learning algorithms to identify areas for improvement, predict cases of patients’ admissions and enhance resource utilization. So, this helps in improving the operational efficiency through cost saving and reduced administrative workload as well as increased healthcare performance generally.
The competitive landscape in Applied AI in Healthcare industry has led to a dynamic market with multiple technology providers offering differentiated solutions that range from diagnostic support tools to population health analytics platforms. Differentiation often comes in the form of making specialized applications that can work together with those already existing within health systems or conforming to regulatory standards. Competitive forces drive innovation like never before, as AI providers strive to meet new needs of healthcare providers resulting into solutions which improve clinical workflows, patient care and organizational efficiency.
Report Attribute/Metric | Details |
---|---|
Market Size Value In 2022 | USD 15.46 Billion |
Market Size Value In 2023 | USD 21.19 Billion |
Growth Rate | 37.4% (2023-2032) |
Applied AI in Healthcare Market Size was valued at USD 15.46 billion in 2022. The Applied AI in Healthcare Market industry is projected to grow from USD 21.19 billion in 2023 to USD 368.67 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 37.4% during the forecast period (2023 - 2032).
One significant use of AI in healthcare is machine learning and other cognitive techniques to help with medical diagnoses. By analyzing patient data and additional information, AI can assist doctors and medical professionals to provide more accurate diagnoses and treatment plans. AI also has the potential to make healthcare more predictive and proactive. It can examine large datasets to develop improved recommendations for preventive care based on predicting patient risks.
The growth of healthcare data has led to increased adoption of artificial intelligence. Insurance companies, healthcare providers, and pharmaceutical companies are applying several types of AI in various areas. Critical applications include:
Using AI to help with diagnoses and treatment recommendations.
Engaging and communicating with patients.
Automating administrative tasks.
AI and related technologies are being integrated more widely across business and society. In healthcare, these technologies can transform how patients are treated and back-office operations for insurance providers, healthcare facilities, and drug manufacturers. If implemented responsibly, AI could help improve industry outcomes, experiences, and efficiencies.
FIGURE 1: APPLIED AI IN HEALTHCARE MARKET SIZE 2019-2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Artificial intelligence and machine learning technologies are finding many applications in the healthcare field to help streamline clinical processes and workflows. This can help improve efficiency and reduce risks for patients. For example, AI tools that can automatically extract and structure information from medical records allow clinicians to spend less time on administrative tasks and more time providing direct patient care. AI is also being utilized to minimize risks. Technologies that can predict patient deterioration, identify high-risk individuals, or detect errors enable clinicians to intervene earlier and prevent adverse outcomes. AI algorithms trained on large datasets can often notice subtle patterns and risks that humans may miss, ranging from predicting readmissions to reducing medication mistakes. In terms of operations, AI assistants and automated scheduling tools aid in optimizing staffing and allocation of resources. This helps boost bed turnover times and operating room utilization. AI decision support tools also help ensure compliance with clinical guidelines and decrease variation in care quality. Therefore, applying AI in clinical workflows, decision-making, and operations management helps to streamline processes and reduce inefficiencies. It provides opportunities to not only cut costs but also enhance patient outcomes by minimizing clinical risks. This trend is driving significant growth in the applied AI healthcare market as hospitals and health systems seek to adopt these technologies.
The Applied AI in Healthcare Market has been segmented based on offering into hot metal stamping, cold metal stamping.
GLOBAL APPLIED AI IN HEALTHCARE MARKET, BY END USER, 2022 VS 2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
The segment- Services holds the largest share of the total market share. As AI and machine learning are increasingly applied in healthcare, the need for supporting services has grown tremendously. Consulting services that help organizations develop and implement their AI strategies see high demand. Technical services like data integration, software development and network management are critical to maintain AI systems. Training and education services have also risen in popularity as specialized skills are required to work with AI tools. Due to the complexity of AI/ML models, managed services that monitor systems, perform upgrades and handle maintenance needs have become necessary. As AI applications continue to expand, new opportunities are emerging for services around managing applications, cloud infrastructure and outsourcing AI workloads. This has caused the services segment to become the largest and fastest growing part of the AI healthcare market in terms of revenue. It is expected to maintain its lead position going forward as demand grows for expertise in applying AI.
The Applied AI in Healthcare Market has been segmented on the basis of algorithms into deep learning, querying method, natural language processing, context aware processing.
Natural language processing is one of the fastest growing segments in the applied AI healthcare market. The ability to understand human language as it is spoken or written allows AI systems to interface with patients and healthcare providers more easily. By comprehending medical questions, symptoms, diagnoses and other terminology, AI can help improve clinical documentation and assist with administrative tasks like coding and billing. It also enables conversational agents and virtual assistants to have natural discussions about health issues, helping to make complex medical information more accessible. As patients and doctors continue to embrace virtual care solutions, the need for AI with strong language understanding capabilities will continue to expand.
The applied AI in healthcare market in this report has been segmented on the basis of application into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, others.
The segment of robot-assisted surgery is growing rapidly as AI and robotics technologies allow for more precise and minimally invasive procedures. Surgical robots provide enhanced dexterity, accuracy, and ergonomic benefits compared to traditional laparoscopic surgery. Virtual nursing assistants utilizing natural language processing are also growing in use to help address staffing shortages by answering patient questions. Additionally, AI is being applied to automate administrative processes like scheduling, documentation, and insurance billing/reimbursement to boost efficiency. Artificial intelligence also aids in detecting healthcare fraud and reducing medication dosage errors, both of which can help lower overall healthcare costs. AI is further assisting in recruiting and monitoring participants for clinical drug trials. Providing preliminary diagnoses is another growing area as AI models can examine medical images, symptom descriptions, and patient histories to quickly generate potential diagnoses to assist physicians.
The Applied AI in Healthcare market in this report has been segmented on the basis of End User into Healthcare Providers, Pharmaceutical & Biotechnology Company, Patients, Payers.
Healthcare providers are the fastest growing segment in the applied AI in healthcare market due to the need to improve patient outcomes while reducing costs. As the expenses associated with healthcare continue to climb, providers feel pressure to treat more people in a more efficient manner. Tools like machine learning and deep learning are aiding providers with this goal by streamlining clinical workflows, offering virtual support to caregivers, and enabling more precise diagnoses and customized treatment recommendations through precision medicine. By leveraging AI to enhance clinical decision-making and make the delivery of care more efficient, healthcare providers can better manage the health of patient populations over time, identify illnesses earlier, and provide personalized care plans shown to enhance quality of life while also lowering the total cost per person. This is driving healthcare providers to rapidly adopt and invest more heavily in applied AI solutions, resulting in them becoming the fastest growing segment within the applied AI in healthcare industry.
Based on Region, the global Applied AI in Healthcare is segmented into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. Further, the major countries studied in the market report are the U.S., Canada, Germany, UK, Italy, Spain, China, Japan, India, Australia, UAE, and Brazil.
North America dominated the applied artificial intelligence in healthcare market in 2022, accounting for the largest market share of 47%. This was driven by increasing investments in AI healthcare startups across the region as well as growing adoption of AI tools by healthcare providers and insurance companies. Within North America, the United States made up the largest portion of the AI healthcare market. This is because several major tech companies that develop AI solutions, like IBM, Microsoft, Intel, Google, and AWS, are based in the U.S. There was also a strong need in the U.S. to control rising healthcare costs and improve patient outcomes. This need led to greater use of AI-powered clinical decision support systems, virtual assistants, and predictive analytics tools in hospitals and clinics across the country. On top of these market forces, supportive laws from the U.S. government like the 21st Century Cures Act and beneficial insurance reimbursement policies created a favorable environment for applied AI in healthcare over this period.
The Asia Pacific region is projected to experience the most rapid growth in market share for applied artificial intelligence in healthcare until 2032. Several contributing factors include rising medical costs, an aging population, and increasing prevalence of chronic diseases. Countries such as China, Japan, and South Korea are heavily investing in AI technologies to make healthcare more efficient, effective, and affordable. AI is being applied throughout the healthcare value chain from drug discovery and clinical trials to personalized medicine, diagnosis, remote patient monitoring, and beyond. The large patient pools and growing digitization of healthcare in Asia Pacific nations is also driving greater adoption of AI. Furthermore, the presence of major tech companies and startups focused on healthcare AI is facilitating innovation and commercialization of new solutions. If this momentum continues, the Asia Pacific region will likely dominate the Applied AI in Healthcare Market by 2032.
FIGURE 3: APPLIED AI IN HEALTHCARE MARKET SIZE BY REGION 2022 VS 2032, (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
The Applied AI in Healthcare market is growing rapidly due to increased investments from technology companies seeking to enter this space. Companies like IBM, Microsoft, and Google are developing AI tools and platforms focused on medical imaging analysis, drug discovery, and precision medicine. Startups are also actively working on applied AI solutions for areas like clinical decision support, virtual assistants, and remote patient monitoring. However, integrating AI technologies into clinical workflows and obtaining regulatory approval remains a challenge. Established healthcare companies and providers are partnering with these technology firms to apply AI within existing systems and processes.
Welltok, Inc.
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision, Inc.
Enlitic, Inc.
Next IT Corporation
iCarbonX
Other Players
March 2023, Google announced the launch of its Open Health Stack, a new set of tools and application programming interfaces (APIs) designed to help healthcare and medical app developers integrate patient data into their services.
March 2022, NVIDIA introduced Clara Holoscan MGXâ„¢, a platform for the medical device industry to develop and deploy real-time AI applications at the edge, specifically designed to meet required regulatory standards.
Hardware
Software
Services
Deep Learning
Querying Method
Natural Language Processing
Context Aware Processing
Robot-assisted Surgery
Virtual Nursing Assistant
Administrative Workflow Assistance
Fraud Detection
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Others
Healthcare Providers
Pharmaceutical & Biotechnology Company
Patients
Payers
US
Canada
Mexico
Germany
France
UK
Italy
Spain
Rest of Europe
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
Saudi Arabia
UAE
South Africa
Rest of the Middle East & Africa
Brazil
Argentina
Chile
Rest of South America
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