Artificial Intelligence in Healthcare Market Report by Offering (Hardware, Software, Services), Technology (Machine Learning, Context Aware Computing, Natural Language Processing, and Others), Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), End-User (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Patients, and Others), and Region 2024-2032

Artificial Intelligence in Healthcare Market Report by Offering (Hardware, Software, Services), Technology (Machine Learning, Context Aware Computing, Natural Language Processing, and Others), Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), End-User (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Patients, and Others), and Region 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A2079
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Market Overview:

The global artificial intelligence in healthcare market size reached US$ 6.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 57.2 Billion by 2032, exhibiting a growth rate (CAGR) of 27.4% during 2024-2032. The growing demand for personalized medications, rising popularity of remote patient monitoring facilities, and increasing advancements in machine learning (ML) techniques for analyzing medical images, detecting anomalies, and predicting patient outcomes efficiently are some of the major factors propelling the market.

Report Attribute
 Key Statistics 
Base Year
2023
Forecast Years
2024-2032
Historical Years
2018-2023
Market Size in 2023
US$ 6.1 Billion
Market Forecast in 2032
US$ 57.2 Billion
Market Growth Rate (2024-2032)
27.4%


Artificial intelligence (AI) in healthcare is the application of intelligent algorithms and computational models to analyze complex medical data, assist in diagnosis and treatment, and support healthcare decision-making processes. It encompasses various AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It analyzes large volumes of patient data, including electronic health records (EHR), medical images, and genomic data, to identify patterns and make predictions. It aids in early disease detection, personalized treatment planning, and clinical decision support. Furthermore, it can assist healthcare professionals in making evidence-based decisions by providing valuable insights and recommendations based on data analysis.

Global Artificial Intelligence in Healthcare Market

At present, the increasing demand for AI in healthcare as it improves medical research and drug development processes is impelling the growth of the market. Besides this, the rising amount of data generated in the healthcare industry, including digital EHR, medical images, and genomic information, is contributing to the growth of the market. In addition, the growing advancements in ML techniques for efficiently analyzing medical images, detecting anomalies, and predicting patient outcomes are offering a favorable market outlook. Apart from this, the increasing demand for clinical decision support systems that offer evidence-based recommendations and treatment guidelines and assist healthcare professionals in making accurate and informed decisions is supporting the growth of the market. Additionally, the rising implementation of policies and incentives by governing agencies of numerous countries to promote the adoption of AI in healthcare is bolstering the growth of the market.

Artificial Intelligence in Healthcare Market Trends/Drivers:

Rising demand for personalized medications

Personalized medications are tailored to the unique characteristics of individuals, such as genetics, lifestyle, and medical history. By considering these factors, personalized medications possess the potential to be more effective in treating specific conditions compared to traditional one-size-fits-all approaches. Besides this, personalized medications aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies. In addition, the integration of AI in the development of personalized medication is improving the accuracy of the process. It is also helping in identifying specific biomarkers that aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies.

Increasing popularity of remote patient monitoring

Remote patient monitoring enables individuals to track their health from the comfort of their own homes, eliminating the need for frequent trips to healthcare facilities. This limits the inconvenience of travel, waiting rooms, and other healthcare-related inconveniences, leading to improved patient satisfaction. It enhances healthcare accessibility, particularly for those in remote or underserved areas, allowing patients to connect with healthcare providers and receive high-quality care regardless of their location. Real-time monitoring by employing medical devices integrated with artificial intelligence (AI) enables healthcare providers to promptly detect any abnormalities or deviations in patient health. AI in healthcare plays a crucial role in remote patient monitoring by enhancing the effectiveness and efficiency of the process.

Increasing occurrence of chronic disorders among the masses

Presently, there is a rise in the prevalence of chronic illnesses caused by inactive lifestyles, such as prolonged sitting, decreased physical activity, and unhealthy eating habits. These lifestyle factors contribute to the emergence of conditions like obesity, diabetes, and cardiovascular diseases. In addition, poor dietary choices involving excessive consumption of processed foods, sugary drinks, and foods high in saturated fats also contribute to the development of chronic ailments. The increase in chronic diseases is also driving hospitalization rates and the demand for effective treatment methods by incorporating AI. AI in healthcare is improving the screening process and detection of various chronic disorders. It is also assisting healthcare professionals to make the correct decision and accurate diagnoses.

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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Artificial Intelligence in Healthcare Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence in healthcare market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on offering, technology, application, and end-user.

Breakup by Offering:

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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  • Hardware
  • Software
  • Services
     

Software dominates the market

The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware, software, and services. According to the report, software represented the largest segment.

Software associated with AI in healthcare comprises electronic health record (EHR) systems, imaging analysis software, clinical decision support systems (CDSS), and natural language processing (NPL) tools. They digitally store and manage patient health records and analyze and extract valuable insights from the vast amount of patient data, facilitating decision-making, personalized treatment planning, and clinical research. They utilize computer vision and machine learning (ML) algorithms to assist radiologists in detecting abnormalities, making diagnoses, and providing quantitative measurements. They can extract relevant information, classify and categorize text, and enable voice-to-text transcription. They also enable continuous monitoring of vital signs, activity levels, and other health parameters to predict health deterioration and alert healthcare providers in real-time.

Breakup by Technology:

  • Machine Learning
  • Context Aware Computing
  • Natural Language Processing
  • Others
     

Machine learning holds the largest share in the market

A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, context aware computing, natural language processing, and others. According to the report, machine learning accounted for the largest market share.

Machine learning (ML) algorithms are employed to analyze patient data, such as electronic health records (EHR), medical imaging, and genetic information, to assist in disease diagnosis and prognosis. These algorithms identify patterns, classify diseases, and predict patient outcomes, aiding healthcare professionals in making accurate and timely decisions. They are capable of detecting abnormalities, segmenting organs and tumors, and assisting radiologists in interpreting images. ML-based image analysis improves diagnostic accuracy, reduces interpretation time, and enhances early detection of diseases. ML models also predict patient outcomes by analyzing large datasets, including clinical records, genomic data, and lifestyle factors. Furthermore, they can analyze EHR to uncover valuable insights, such as disease trends, treatment patterns, and population health indicators.

Breakup by Application:

  • Robot-Assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others
     

Clinical trial participant identifier holds the biggest share in the market

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to the report, clinical trial participant identifier accounted for the largest market share.

A clinical trial participant identifier is assigned to individuals enrolled in a clinical trial to protect their privacy and confidentiality. It is used instead of personal identifying information (such as name or social security number) to ensure anonymity and protect the identity of participants. It helps ensure data integrity and security in clinical trials. By using identifiers instead of personal information, the potential for data errors or inconsistencies due to human error or data entry mistakes is reduced. It also helps protect sensitive information from being inadvertently disclosed or misused.

Robot-assisted surgery, also known as robotic surgery, refers to a surgical technique that utilizes robotic systems to aid surgeons in performing complex procedures with enhanced precision, dexterity, and control. It involves the use of robotic arms, specialized instruments, and a computer console operated by a surgeon.

Breakup by End-User:

  • Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Patients
  • Others
     

Pharmaceutical and biotechnology companies hold the maximum share in the market

A detailed breakup and analysis of the market based on the end-user have also been provided in the report. This includes healthcare providers, pharmaceutical and biotechnology companies, patients, and others. According to the report, pharmaceutical and biotechnology companies accounted for the largest market share.

Pharmaceutical and biotechnology companies are embracing the use of AI due to its transformative potential across various aspects of their operations. AI offers unprecedented opportunities to revolutionize drug discovery and development processes by leveraging data-driven approaches and computational modeling. Through AI algorithms, these companies can analyze vast amounts of biological and chemical data to identify potential drug targets, predict drug activity, and optimize drug design, significantly speeding up the traditionally time-consuming and expensive drug development pipeline. Additionally, AI enables precision medicine by leveraging patient data, genomics, and clinical records to develop personalized treatment approaches. AI algorithms can identify biomarkers or genetic variations associated with disease susceptibility and treatment response, allowing for targeted therapies and patient subgroup identification.

Breakup by Region:

 

 
 

 

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  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa
     

North America exhibits a clear dominance, accounting for the largest artificial intelligence in healthcare market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America held the biggest market share since the region has an efficient medical infrastructure. Moreover, the rising occurrence of various chronic disorders among the masses is contributing to the growth of the market.

Another contributing aspect is the growing adoption of robust technology infrastructure, including advanced computing capabilities, cloud computing resources, and data storage capacities in the healthcare sector.

Asia Pacific is estimated to expand further in this domain due to the rising construction of various hospitals, clinics, and nursing homes to provide quality healthcare services. Apart from this, increasing healthcare expenditures among the masses is propelling the market growth.

Competitive Landscape:

Key market players are investing in research operations to improve their AI capabilities. They are also allocating significant resources to develop new algorithms, models, and platforms that can enhance the accuracy, efficiency, and effectiveness of AI applications in healthcare. Top companies are expanding and diversifying their product portfolios to meet evolving market needs. They are also developing and launching new AI-powered solutions and platforms for various healthcare domains, including diagnostic imaging, clinical decision support, remote patient monitoring, genomics, and drug discovery. Leading companies are focusing on strategic partnerships and collaborations to enhance their market reach, access new customer segments, and leverage complementary technologies.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • Amazon Web Services Inc.
  • Cloudmedx Inc.
  • DeepMind
  • Enlitic Inc.
  • General Vision Inc.
  • Google Inc.
  • International Business Machines
  • iCarbonX
  • Intel Corporation
  • Medtronic
  • Micron Technology Inc.
  • Microsoft Corporation
  • Next It Corporation
  • Nuance Communications Inc.
  • Nvidia Corporation
  • Siemens Healthcare
  • Welltok Inc.

Recent Developments:

  • In March 2023, Medtronic plc announced a strategic collaboration with Cosmo Pharmaceutical and Nvidia Corporation to deliver the GI Genius™ intelligent endoscopy module — the first FDA-cleared, AI-assisted colonoscopy tool to help physicians detect polyps that can lead to colorectal cancer.
  • In March 2023, Nvidia Corporation announced the launch of an expanded set of generative AI cloud services for customizing AI foundation models to accelerate the production of novel proteins and therapeutics.
  • In November 2022, Nuance Communications Inc. announced a partnership with Nvidia Corporation for bringing medical imaging AI models directly into clinical settings and improving patient care solutions.

Artificial Intelligence in Healthcare Market Report Scope:

Report Features Details
Base Year of the Analysis 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Units US$ Billion
Scope of the Report Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
  • Offering
  • Technology
  • Application
  • End-User
  • Region
Offerings Covered Hardware, Software, Services
Technologies Covered Machine Learning, Context Aware Computing, Natural Language Processing, Others
Applications Covered Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Others
End-Users Covered Healthcare Providers, Pharmaceutical and Biotechnology Companies, Patients, Others
Regions Covered Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered Amazon Web Services Inc., Cloudmedx Inc., DeepMind, Enlitic Inc., General Vision Inc., Google Inc., International Business Machines, iCarbonX, Intel Corporation, Medtronic, Micron Technology Inc., Microsoft Corporation, Next It Corporation, Nuance Communications Inc., Nvidia Corporation, Siemens Healthcare, Welltok Inc. etc.
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 3899
Five User License: US$ 4899
Corporate License: US$ 5899
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)


Key Benefits for Stakeholders:

  • IMARC’s report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the artificial intelligence in healthcare market from 2018-2032.
  • The research study provides the latest information on the market drivers, challenges, and opportunities in the global artificial intelligence in healthcare market.
  • The study maps the leading, as well as the fastest-growing, regional markets. It further enables stakeholders to identify the key country-level markets within each region.
  • Porter's five forces analysis assists stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the artificial intelligence in healthcare industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

Key Questions Answered in This Report

The global artificial intelligence in healthcare market was valued at US$ 6.1 Billion in 2023.

We expect the global artificial intelligence in healthcare market to exhibit a CAGR of 27.4% during 2024-2032.

The sudden outbreak of the COVID-19 pandemic has led to the rising deployment of AI technology for offering virtual consultations, diagnosis, and treatment to the coronavirus-infected patients to reduce the risk of the coronavirus infection upon hospital visits or interaction with healthcare professionals.

 

The increasing adoption of AI across the healthcare sector for convenient and secure management of data, along with generating patient-specific information for providing personalized diagnostic and pharmaceutical services, is primarily driving the global artificial intelligence in healthcare market.

Based on the offering, the global artificial intelligence in healthcare market has been divided into hardware, software, and services. Among these, software currently exhibits a clear dominance in the market.

Based on the technology, the global artificial intelligence in healthcare market can be categorized into machine learning, context-aware computing, natural language processing, and others. Currently, machine learning accounts for the majority of the total market share.

Based on the application, the global artificial intelligence in healthcare market has been segregated into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. Among these, clinical trial participant identifier currently holds the largest market share.

Based on the end-user, the global artificial intelligence in healthcare market can be bifurcated into healthcare providers, pharmaceutical and biotechnology companies, patients, and others. Currently, pharmaceutical and biotechnology companies exhibit a clear dominance in the market.

On a regional level, the market has been classified into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

Some of the major players in the global artificial intelligence in healthcare market include Amazon Web Services Inc., Cloudmedx Inc., DeepMind, Enlitic Inc., General Vision Inc., Google Inc., International Business Machines, iCarbonX, Intel Corporation, Medtronic, Micron Technology Inc., Microsoft Corporation, Next It Corporation, Nuance Communications Inc., Nvidia Corporation, Siemens Healthcare, Welltok Inc., etc.

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Artificial Intelligence in Healthcare Market Report by Offering (Hardware, Software, Services), Technology (Machine Learning, Context Aware Computing, Natural Language Processing, and Others), Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), End-User (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Patients, and Others), and Region 2024-2032
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