Key Players
The major players operating in the global artificial Intelligence in medical diagnostics market are:
- Google (Subsidiary Of Alphabet, Inc.)
- IBM
- Microsoft
- NVIDIA
- Intel Corporation
- Siemens Healthineers
- GE Healthcare
- Digital Diagnostics, Inc (Formerly Known As Idx)
- Xilinx
- Informai LLC
- Heartflow, Inc
- Enlitic, Inc
- Aidence
- Nanox AI
- Butterfly Network, Inc.
- Day Zero Diagnostics, Inc
- Prognos Health
- Viz.AI, Inc
- Quibim
- Therapixel
- Aidoc
- Qure.Ai
- Koninklijke Philips N.V.
- Lunitinc
- Echonous Inc.
Market Dynamics
The field of medical diagnostics is witnessing a rapid growth in the application of AI due to several factors such as increased government initiatives to promote the use of AI-based technologies, rising adoption of AI solutions by radiologists to alleviate their workload, the advent of big data, availability of funding for AI-based startups, and a growing number of cross-industry partnerships and collaborations.
However, the market growth is expected to be hindered by factors such as the scarcity of skilled AI professionals, regulatory ambiguity, and the reluctance of medical practitioners to embrace these solutions.
Drivers: High usage of big data
As healthcare increasingly adopts information systems, big data - which encompasses large and complex data - is generated throughout the care delivery process. In the medical diagnostics field, big data is derived from a variety of sources, including clickstream and web/social media interactions, readings from medical devices such as sensors, ECGs, and X-rays, healthcare claims and billing records, and biometric data.
In recent years, big data and analytical solutions have become more advanced and widely adopted, particularly with the growing use of EHRs, digitized laboratory slides, and high-resolution radiology images. Healthcare is among the top five big data industries in the US, and the volume of big data in medical diagnostics is anticipated to continue to grow, fueled in part by the use of bidirectional patient portals.
These portals allow patients to upload data and images to their EMRs. The healthcare industry is therefore turning to AI-based solutions to efficiently manage the ever-increasing volume of complex medical diagnostic data.
Restraints: Reluctance to adopt AI-based technologies among medical practitioners
The growth of digital health has facilitated innovative treatment approaches for healthcare providers to assist their patients. By using AI technologies, doctors can diagnose and treat patients more effectively. Despite this, doctors have been hesitant to adopt these new technologies. Many medical practitioners believe that AI will eventually replace doctors and that human skills such as empathy and persuasion cannot be replicated by technology.
Additionally, there is a concern that patients may rely too heavily on AI and disregard in-person treatments, which could strain doctor-patient relationships. Furthermore, some healthcare professionals are skeptical about AI's ability to accurately diagnose patient conditions. Therefore, it is challenging to convince providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer doctors convenience and better patient care.
However, more healthcare providers are beginning to recognize the potential benefits of AI-based solutions and the range of applications they offer. Therefore, it is possible that in the future, doctors and radiologists will be more receptive to using AI-based technologies in healthcare.
Segment Analysis
By Component Type
Software segment to grow at the highest rate over the forecast period. The global market for AI in medical diagnostics is categorized into two components: software and services. The services segment held the majority market share in 2022, but the software segment is expected to experience a higher CAGR during the projected period. Software solutions offer healthcare providers a competitive advantage, particularly when faced with challenges such as staffing shortages and a growing volume of imaging scans.
By Application Type
In Vivo Diagnostic segment to hold the largest market share during the forecast period. The market for AI in medical diagnostics is categorized based on applications into in vivo and in vitro diagnostics. In 2021, the in vivo diagnostics segment held the largest share of the market.
This can be attributed to the increasing adoption of AI solutions by the medical and healthcare industries, as these solutions help to decrease human errors and improve the effectiveness of treatments.
By End User Type
The hospitals segment to grow with the highest CAGR during the forecast period. The AI in Medical Diagnostics Market is divided into end users, which includes hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users.
The hospitals segment held the largest share of the market in 2022. This can be attributed to several factors, including the increasing number of diagnostic imaging treatments performed in hospitals and the trend toward the automation and digitization of radiology patient workflow.
Additionally, hospitals and healthcare facilities are adopting minimally invasive procedures to improve the quality of patient care and focus on patient-centric care, which is driving the adoption of advanced imaging modalities to improve workflow.
Regional Analysis
North America to account for the largest share of the global market. North America held the largest market share of the AI in Medical Diagnostics Market in 2022. However, during the forecast period, the Asia Pacific market is expected to register the highest CAGR of over 40%.
This high growth rate can be attributed to several factors, including the adoption of growth strategies by key players in emerging markets, the digitization of medical diagnostics infrastructure, the rise in the geriatric population, the increasing prevalence of cancer, and the implementation of favorable government initiatives to support the adoption of advanced technologies in healthcare.
Research Methodology
This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data.
We conducted more than 15 detailed primary interviews with the market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.
Report Features
This report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision making for the existing market players as well as those willing to enter the market. The following are the key features of the report:
- Market structure: Overview, industry life cycle analysis, supply chain analysis.
- Market Environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis.
- Market trend and forecast analysis.
- Market segment trend and forecast.
- Competitive landscape and dynamics: Market share, Product Portfolio, New Product Launches, etc.
- Attractive market segments and associated growth opportunities.
- Emerging trends.
- Strategic growth opportunities for the existing and new players.
- Key success factors.
Customization Options
With this detailed report, Stratview Research offers one of the following free customization options to our respectable clients:
Company Profiling
- Detailed profiling of additional market players (up to three players)
- SWOT analysis of key players (up to three players)
Competitive Benchmarking
- Benchmarking of key players on the following parameters: product portfolio, geographical reach, regional presence, and strategic alliances
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Recent Developments
- In February 2023, GE HealthCare acquired Caption Health, expanding ultrasound to support new users with FDA-cleared, AI-powered image guidance.
- In July 2022, Siemens Healthineers released functionalities powered by AI that accelerate and improve Magnetic Resonance Imaging (MRI).
- In July 2022, Quibim and Microsoft collaborated to develop virtual biopsies with AI.
- In June 2022, Ultima Genomics, Inc. unveiled a broad collaboration with NVIDIA that leverages AI-accelerated analysis across various stages of the DNA sequencing and analysis process.
- In March 2022, IBM and Genomics England entered into a new partnership to transform patient care. IBM is selected as a strategic technology partner for Genomics England over 18 months to support the rapid expansion, and enable consumption of cloud services and AI capabilities.
