Global AI in Medical Diagnostics Market-By Component (Hardware, Software, Services), By Dignostics type (Neurology, Radiology, Pathology, Chest and lung, Oncology and Others), By Modality (MRI, CT-Scan, X-ray, Ultrasound and others), By End User (Hospital, Diagnostic centers, Research Institutes), by Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2024-2033

Report Overview

The global AI In Medical Diagnostics Market size is expected to be worth around USD 10.6 Billion by 2033 from USD USD 1.1 Billion Billion in 2023, growing at a CAGR of 25.2% during the forecast period from 2024 to 2033.

Synonymous with assistance and efficiency in healthcare, Artificial Intelligence (AI) has led to an optimistic transformation in medical diagnostics. Inaccurate or delayed diagnostics leads to death or enduring disabilities in individuals. Thus, this has elevated the usage of AI tools and solutions in order to expedite the diagnosis and treatment processes.

The adoption of AI further hiked with growing predilection for AI tools in the medical sectors, rising government incentives, rise in funding for AI-based start-ups with the elevating aim to decline radiologists’ work load. Furthermore, the upswinging need for analyzing large and intricate datasets, computing efficiency, rising ultimatum to reduce cost of medical services cumulatively leads to the market amplification.

There have been a noticeable number of healthcare industries incorporating AI-powered solutions in multiple verticals with the purpose to ameliorate clinical and operational outcomes, forming a vital contributor to market expansion. The healthcare systems are  heavily burdened with rising pervasiveness of chronic illnesses, necessitating continuous innovation to cope with the situation.

• For instance, in 2019, a shortage of 4.4 million healthcare workers across the globe was estimated by World Health Organization (WHO).

Key Takeaways

• Market Size: AI In Medical Diagnostics Market size is expected to be worth around USD 10.6 Billion by 2033 from USD 1.1 Billion in 2023.
• Market Growth: The market growing at a CAGR of 25.2% during the forecast period from 2024 to 2033.
• Component Analysis: Software segment being the largest contributor to the market growth accounting 54% market share.
• Diagnostic Type Analysis: Neurology segment is known to withheld a commendable market revenue of 28.9% in the year 2023.
• Modality Analysis: CT scan segment withheld a remarkable market share of 42.6% in the year 2023
• End User Analysis: Hospital segment dominate market by 61.2% in the year 2023.
• Regional Analysis: North America leads the global AI in medical diagnostics market in 2023
• Enhanced Accuracy: AI-driven diagnostic tools improve accuracy in disease detection, reducing the rate of false positives and negatives, and enabling early diagnosis and treatment.
• Cost Efficiency: The implementation of AI in diagnostics reduces healthcare costs by automating routine tasks and optimizing resource utilization, leading to more efficient healthcare delivery.
• Personalized Medicine: AI facilitates personalized medicine by analyzing vast amounts of patient data to provide tailored treatment plans, enhancing patient outcomes.

By Component Analysis

Software segment leads the global AI in medical diagnostics market

Depending upon component, the market for AI in medical diagnostics is broadly classified into hardware, software and services, with software segment being the largest contributor to the market growth. Accounting a valuable market share of 54%, software component commanded the global AI in medical diagnostics market in the year 2023. Such high contribution towards the market is reflective to increased demand for AI-enabled solutions in diagnostics to bring out errorless diagnosis rapidly.

The dominance of the segment is further propelled by escalating cases of acute and chronic diseases demanding advanced AI based diagnosis. In addition, sparceness of care providers leads to rising burden on healthcare systems which in turn demands for advanced AI-based solutions.

• According to National Institute for Stroke and Applied Neurosciences, 40% of the population globally suffer from some kind of neurological conditions, and is further anticipated to double by 2050.

By Diagnostic Type Analysis

Neurology segment captured a significant market portion

Based on type of diagnosis, the market is fragmented into Neurology, Radiology, Pathology, Chest and lung, Oncology and Other segments. Amongst these, neurology segment is known to withheld a commendable market revenue of 28.9% in the year 2023. The segment being predominant owes to the fact of growing incidence of neurological disorders. Tackling the burden of neurological disorders focus on higher adoption of AI-based solutions, resulting into segments’ growth.

The ongoing advancements has resulted into the developments of deep intricate neural networks and advanced algorithms with multiple image datasets to procure diverse assessments and diagnosis. Thus, the enhanced adoption of AI-based solutions has led to improved accuracy and precision, thereby surging clinical decision making by radiologists.

• According to World Health Organization, around 534,283 cases of neurological disorders were reported in 2019, with 40% of cases occurring in men and 60% occurring in female population.

Following closely, radiology is projected to register the fastest growth rate during the foreseeable days, attributing to the precision, accuracy in radiology analysis and low cost of procedure. To diagnose diseases at preliminary stage, AI-enabled solutions are incorporated with electronic health records and radiological findings, thereby providing pertinent treatments to the patients.

By Modality Analysis

CT Scan dominates the market owing to its affordable cost

Based on modality, the market is bifurcated into MRI, CT-Scan, X-ray, Ultrasound and others segment. CT scan segment withheld a remarkable market share of 42.6% in the year 2023. The dominance of the segment owes to its affordability towards consumers, growing patient population and increasing adoption of AI-based tools and solutions. The segment further promises to show the fastest growth by providing ease of diagnosis and cost effective treatment to the patients in the near future.

By End User Analysis

Rising adoption of AI based solutions in hospitals makes it a segment leader

Depending upon the end use of AI in medical diagnostics, the market is categorized into hospitals, diagnostic centres and research institute segments. The hospital segment played a pivotal role in contributing towards majority of the market growth, occupying a valuable market revenue share of 61.2% in the year 2023.

The prominence of the segment owes to the rising need for AI-based tools in hospitals for easy diagnosis leading to reduction of errors, complexities, cost, and time. In order to boost the efficiency and sales of the hospital segment, many hospitals collab with technology companies for providing cloud based AI solutions and services to their patients in their daily usage.

Key Market Segments

By Component

• Hardware
• Software
• Services

By Diagnostic type

• Neurology
• Radiology
• Pathology
• Chest and lung
• Oncology
• Other

By Modality

• MRI
• CT-Scan
• X-ray
• Ultrasound
• Others

By End Use

• Hospitals
• Diagnostic centres
• Research institute

Drivers

Integrating AI into healthcare settings drive the market growth

The integration of AI into medical and healthcare sector is a major factor pulling the market for AI in medical diagnostics in forward direction. Electronic medical records can be integrated with artificial intelligence which can significantly improve decision support, interoperability, capturing physician-patient conversation, flexibility, and diagnostic algorithms.

• For instance, a collaboration was established between google and delivery networks for prediction modules to alert health risk including health failure.

Increasing startups scales the market revenue growth

There is an escalating number of start-ups in recent years as the healthcare sectors hold large volume of data from genomics, diagnostics and imaging. These startups in digital health is further accelerated by virtue of COVID 19 pademic, ranging from telehealth diagnostics to rapid testing. Enabling the patients to track their health and allow them to choose and manage their healthcare services, the startups in connected and personalized healthcare are receiving abundant recognition in recent years.

Restraints

High procurement cost can hinder the market reach

The AI in medical diagnostics market faces impediments due to the high costing, such as major initial capital, closely followed by maintenance and upgradation expense. Due to complexities of engineering of the system, procurement of hardware and software solutions to integrate AI into the healthcare settings involves major costs.

The cost is further up scaled with the need to constantly upgrade the systems. In addition, for digitalization and training programs substantial investments are required. Healthcare systems have already mage such investments to acquire and integrate AI solutions in healthcare settings.

Opportunities

Enhanced diagnostic efficiency and accuracy

AI algorithms can rapidly and accurate interpret outcomes by analyzing pathology slides, medical images and diagnostic data. This helps the healthcare providers to concentrate on challenging patients by improving efficiency, automating routine processes and decline response times. There is continuous advancements in diagnostic precision and effectiveness as AI algorithms can frequently learn from feedback and new data inputs.

In addition, precise diagnosis can be made aided by AI which is involved in seeing patterns, anomalies, or correlations that can be difficult for healthcare professionals to notice.Such factors are anticipated to create opportunities for market growth over the projection period.

Impact of Macroeconomic Factors

The AI in medical diagnostic industry is particularly heterogeneous and overlaps with other fields of healthcare and manufacturing, as it covers a wide range of devices and tools intended for patient diagnostics and monitoring. The industry is attractive for developers, producers, and investors alike because of a consistently high demand of AI solutions, as well as the high profit margins for companies. Considering the increasing life expectancy and decreasing fertility rates, there is a clear trend of population ageing, which further increases the demand for healthcare in general and medical devices in particular.

As confirmed by macroeconomic data, this situation presents challenges especially to countries with lower standards of health and education, where it is difficult to achieve sustained growth. At the same time, the medical device industry is among the most heavily regulated ones, and any company on the market must comply with stringent laws and procedures to ensure the highest standards of quality and safety. These government regulations effectively restrict competition in the area of artificial intelligence.

Latest Trends

Natural Language Processing(NLP) in Medical Health Records: Natural language processing is a widely used technique to extract information from unorganized clinical notes and related medical records. This advancement allows clinicians to make more informed decisions, thereby ameliorating diagnosis precision and carry a smooth workflow.

Remote Monitoring and Telemedicine: With the rise in telemedicine, AI based tools assists to remotely monitor patients’ health condition and provide real time information. The data from smart watches and fitness trackers can by analyzed by these tools, to detect the changes in health status, alerting patients and healthcare professionals regarding intervention requirements.

Regional Analysis

North America leads the global AI in medical diagnostics market

Owing to the soaring use of advanced technology in healthcare sectors coupled with rising pervasiveness of chronic illnesses in the region, North America is at the forefront of global AI in medical diagnostics market. The rise in chronic disorders directly proportionates the demand for precise diagnosis and treatment, thus the adoption of AI based solutions up scales in the region.

• According to American Cancer Society, approximately 1.8 million cancer cases were diagnosed in 2022.
• According to Indian Council of Medical Research, approximately 1.46 million of cancer cases aroused in 2022 and is estimated to reach over 1.57 million by 2025.

However, Asia-Pacific is anticipated to showcase the fastest growing market by registering the highest CAGR during the projection period. This significant excellence of the region owes to the abundant emerging markets offering lucrative opportunities for the market growth.

Key Regions and Countries

• North America
  • US
  • Canada
• Europe
  • Germany
  • France
  • The UK
  • Spain
  • Italy
  • Russia
  • Netherland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • New Zealand
  • Singapore
  • Thailand
  • Vietnam
  • Rest of APAC
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of MEA

Key Players Analysis

The market is fragmented with the presence of numerous companies in developed and developing economies. This intensifies the competition and companies are involved in furthering their market presence and position through various strategic initiatives. These include product advancements, distribution partnerships, sales & marketing activities, regional expansion, partnerships, and mergers and acquisitions.

In addition, numerous key players are now concentrating on different marketing strategies, such as increasing awareness about advanced features, which is expanding the growth of target products.

Market Key Players

Listed below are some of the most prominent key players:

• Butterfly Network Inc., (US)
• Quibim (Spain)
• AiDoc (US)
• Siemens Healthineers (Germany)
• Google (US)
• HeartFlow Inc
• Zebra Medical Vision
• Neural Analytics
• Digital Diagnostics
• GE healthcare
• Alivecor Inc

Recent Developments

• Butterfly Network Inc. (April 2024): Butterfly Network Inc. launched the Butterfly iQ+ 2.0, an AI-powered ultrasound device with enhanced image quality and real-time diagnostic support capabilities, aiming to improve diagnostic accuracy and patient outcomes.
• Quibim (May 2024): Quibim acquired a leading radiology software company to enhance its AI imaging analysis capabilities, integrating advanced radiomics and machine learning techniques for more precise diagnostics.
• AiDoc (March 2024): AiDoc introduced an AI-driven platform for early cancer detection, utilizing advanced algorithms to analyze medical imaging data, aiming to improve early diagnosis rates and patient outcomes.
• Siemens Healthineers (February 2024): Siemens Healthineers merged with a prominent AI healthcare startup to enhance its diagnostic solutions, integrating cutting-edge AI technologies to provide more accurate and efficient tools.
• Google (January 2024): Google launched Google Health AI, an AI-based diagnostic tool for diabetic retinopathy, using deep learning algorithms to analyze retinal images with high accuracy, improving early detection and management.
• HeartFlow Inc. (June 2024): HeartFlow Inc. unveiled HeartFlow Analysis 3.0, an AI-powered cardiac diagnostic solution with improved algorithms for precise coronary artery disease assessment, enhancing treatment decisions and patient care.

Report Scope