Artificial Intelligence in Healthcare Diagnosis Market Report 2025

The artificial intelligence in healthcare diagnosis market size has grown exponentially in recent years. It will grow from $23.18 billion in 2024 to $33.24 billion in 2025 at a compound annual growth rate (CAGR) of 43.4%. The growth in the historic period can be attributed to advancements in medical imaging, data accessibility and digitization, clinical workflow optimization, research and development investments, shortage of healthcare professionals.

The artificial intelligence in healthcare diagnosis market size is expected to see exponential growth in the next few years. It will grow to $155.31 billion in 2029 at a compound annual growth rate (CAGR) of 47%. The growth in the forecast period can be attributed to ai-powered precision medicine, integration with electronic health records, expansion of medical imaging analysis, rise of wearable health tech, regulatory support and standards. Major trends in the forecast period include explainable ai in healthcare, ai-driven early disease detection, telehealth integration, ai in pathology and histopathology, ai-enabled point-of-care diagnostics.

The anticipated growth in the artificial intelligence (AI) in healthcare diagnosis market is driven by the increasing incidence rate of chronic diseases. Chronic diseases, characterized by their long-term progression and intermittent persistence, are expected to benefit from the transformative impact of AI in healthcare diagnosis. This technology holds the potential for significant improvements in disease management, diagnosis, and resource utilization, leading to cost savings. AI can empower medical practitioners to enhance decision-making, identify patients at risk, and deliver more personalized care. For example, in September 2022, the World Health Organization reported 41 million deaths annually, with 74% attributed to non-communicable diseases (NCDs) or chronic diseases globally. These included 17.9 million deaths from cardiovascular diseases, 9.3 million deaths from cancer, 4.1 million deaths from chronic respiratory diseases, and 2 million deaths from diabetes. Consequently, the rising incidence of chronic diseases is a key driver of the growth in the artificial intelligence in the healthcare diagnosis market.

The growing use of telemedicine is expected to drive the growth of artificial intelligence in the healthcare diagnosis market in the future. Telemedicine involves using telecommunications technologies, such as video conferencing, audio calls, and other digital communication tools, to deliver medical care and services remotely. The rise of telemedicine has led to increased demand for AI in healthcare diagnosis. AI tools can assist healthcare providers in making remote diagnoses based on patient-reported symptoms and data. For example, in April 2023, FAIR Health, a US-based nonprofit organization focused on promoting transparency in healthcare costs and insurance information, reported a 7.3% increase in national telehealth utilization compared to the previous year, with audio-only telehealth services being more prevalent in rural areas than in urban ones. Thus, the growing telemedicine landscape is driving the expansion of artificial intelligence in the healthcare diagnosis market.

Technological advancement stands out as a prominent trend gaining traction in the artificial intelligence in the healthcare diagnosis market. Leading companies in this market are actively focusing on the development of innovative technologies to maintain their competitive edge. For instance, in March 2023, Genomic Vision, a biotechnology company based in France, unveiled FiberSmart, an AI-powered software designed to automate the detection and quantification of fluorescent signals on combed DNA (Deoxyribonucleic acid) molecules. Boasting a user-friendly interface, FiberSmart facilitates rapid analysis of DNA replication signals, extracting crucial parameters that describe replication kinetics. Employing advanced AI techniques, FiberSmart surpasses Genomic Vision's existing software solutions, offering up to three times more accurate visualization, detection, and evaluation of DNA replication kinetics, all achieved up to ten times faster. The software's ergonomic design enhances user convenience, enabling swift analysis of DNA replication signals to derive essential variables describing replication kinetics.

Major players in the artificial intelligence in the healthcare diagnosis market are directing their efforts toward the development of innovative solutions, with a focus on AI-powered disease detection. This involves leveraging artificial intelligence technologies to analyze medical data, including images, patient records, and diagnostic tests, for the identification and detection of various diseases or health conditions. For example, in May 2023, Aegis Ventures LLC, a next-generation venture studio based in the US, partnered with Northwell Holdings, a US-based medical technology company, to introduce ‘Optain’. Utilizing images of the eye captured with a simple, portable retinal camera, Optain's AI not only screens for eye-related conditions but also identifies 140 diseases throughout the body. The goal is to detect these diseases at the earliest stage when they are most treatable.

In October 2022, Beckman Coulter Diagnostics, a US-based clinical diagnostics company, completed the acquisition of StoCastic LLC for an undisclosed amount. StoCastic's TriageGo is set to become the cornerstone of Beckman Coulter's AI-powered Clinical Decision Support (CDS) portfolio. This evolving discipline aims to enhance patient care by providing physicians with data-driven insights and optimizing clinical decision-making. StoCastic LLC, an artificial intelligence company based in the US, specializes in developing AI-powered tools for healthcare providers to achieve more accurate and efficient disease diagnoses.

Major companies operating in the artificial intelligence in healthcare diagnosis market include Johnson and Johnson Private Limited, Intel Corporation, International Business Machines Corporation, Medtronic, Nvidia Corporation, Siemens Healthcare GmbH, Koninklijke Philips N.V., GE Healthcare, Agfa-Gevaert Group, Google Deep Mind, Babylon Health, HeartFlow Inc., Corti HQ, Aidoc, Aidoc Medical Ltd., Imagen Technologies, AliveCor Inc., Digital Diagnostics Inc., Enlitic Inc., NovaSignal Corp., Cleerly Inc., Butterfly Network Inc., IBM Watson Health, Arterys Inc., Zebra Medical Vision Inc., Vuno Inc., Riverain Technologies, CloudMedX Inc., Neural Analytics Inc.

North America was the largest region in the artificial intelligence in healthcare diagnosis market in 2024. The regions covered in the artificial intelligence in healthcare diagnosis market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in healthcare diagnosis market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

Artificial intelligence (AI) in healthcare diagnosis involves the application of AI techniques, such as machine learning and deep learning algorithms, for the purpose of diagnosing medical conditions. The utilization of AI allows for the rapid evaluation of data, encompassing clinical trials, medical records, and genetic information, providing medical practitioners with a quicker diagnosis compared to traditional human methods.

The primary components incorporated in artificial intelligence in healthcare diagnosis consist of software, services, and hardware. Software is a compilation of programs, data, and instructions designed to execute specific tasks on a computer or electronic device. These components are utilized across various medical diagnoses, including cardiology, oncology, pathology, radiology, chest and lung, neurology, and others. The modalities involved comprise MRI (magnetic resonance imaging), CT (computed tomography), X-ray, and ultrasound, catering to applications in both in vivo and in vitro diagnostics. The end-users benefiting from these AI applications include hospitals, diagnostic imaging centers, diagnostic laboratories, and others.

The artificial intelligence in healthcare diagnosis market research report is one of a series of new reports that provides artificial intelligence in healthcare diagnosis market statistics, including artificial intelligence in healthcare diagnosis industry global market size, regional shares, competitors with an artificial intelligence in healthcare diagnosis market share, detailed artificial intelligence in healthcare diagnosis market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in healthcare diagnosis industry. This artificial intelligence in healthcare diagnosis market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in healthcare diagnosis market consists of revenues earned by entities by providing medical imaging analysis, genetic analysis, clinical decision support, risk prediction and stratification. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial Intelligence (AI) in the healthcare diagnosis market also includes sales of surgical robots and visual tools which are used in providing AI in healthcare diagnosis services. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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