The UK Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.03 Bn in 2022 to $0.25 Bn by 2030, registering a CAGR of 33% during the forecast period of 2022 - 2030. The market will be driven by the advancing government initiatives to support the adoption of AI technology & the rising rate of chronic illnesses. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Brainomix Limited.
The UK Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.03 Bn in 2022 to $0.25 Bn by 2030, registering a CAGR of 33% during the forecast period of 2022 - 2030. Healthcare spending in the United Kingdom will account for 11.9% of the GDP by 2021. Hospital treatments are complimentary for individuals who are "ordinarily resident" in the UK. The National Health Service is a government-sponsored universal healthcare system in the United Kingdom (NHS). The NHS is a collection of publicly financed healthcare services in the United Kingdom. In the UK, around 7.6 Mn individuals have heart and circulatory disorders; an elderly and expanding population, as well as improving survival rates from heart and circulatory events, may cause these numbers to climb even higher.
Medical imaging is a crucial area where AI is being employed in diagnoses. AI systems can examine medical pictures and detect anomalies, allowing clinicians to make a more accurate diagnosis. Another application of AI in diagnostics is the discovery of biomarkers. Large volumes of data may be analyzed by AI to uncover tendencies and biomarkers that can be used to detect disorders. This can assist increase diagnostic accuracy and allow for the early diagnosis of diseases.
December 2022, The Brainomix e-Stroke imaging platform, designed by the UK's med-tech solution business Brainomix, is being utilized to diagnose strokes and identify the appropriate therapy across 11 stroke treatment networks in the UK's state-funded National Health Service (NHS). In November 2022, The University of the West of Scotland developed an AI system that takes X-rays and then compares the scans to a database of thousands of pictures of people with pneumonia, TB, and Covid in order to aid diagnosis. They are now investigating if the technology may be used to detect cancer
Market Growth Drivers
The NHS Artificial Intelligence Laboratory (NHS AI Lab) was established in August 2019, to address the challenge by bringing together government, health and care providers, academia, and technology businesses. By bringing together programs that address the challenges of creating and implementing AI systems in health and care, the NHS AI Lab fosters cooperation and co-creation. This is expected to unleash AI's ability to revolutionize healthcare. Moreover, the UK also has The National Covid-19 Chest Imaging Database, a consolidated UK imaging collection with approximately 29,000 pictures from 80 UK facilities that are already being used to train algorithms by technology businesses and academic organizations. Other factors such as increasing need for AI in healthcare, expanding awareness of individualized treatment, and the need for cost-effective and efficient healthcare services. The increasing frequency of chronic diseases such as cancer and heart disease is also pushing the adoption of AI-based diagnostics in the UK.
Market Restraints
There are various constraints that might impede the growth of AI in Diagnostics markets in the UK, such as legal concerns around data privacy and a lack of standardization in the development of AI-based solutions. The high expenses of deploying AI-based solutions, as well as the necessity for specific training for healthcare workers in the usage of these technologies, may be a hurdle for certain healthcare providers.
Key Players
The UK's regulatory agency for medications and medical devices, including AI-based medical devices, is the Medicines and Healthcare Products Regulatory Agency (MHRA). Before medical devices may be commercialized in the UK, the MHRA must ensure that they meet the relevant safety and performance criteria.
The Accelerated Access Collaboration (AAC) is a unique collaboration comprised of the following patient organizations, government agencies, businesses, and NHS organizations working together to accelerate the implementation of breakthrough healthcare advances. Within NHS England, the AAC has formed a new specialized unit. National Imaging Academy Wales creates and provides diagnostic imaging training and professional development courses for any diagnostic imaging practitioner, student, or trainee, in partnership with NHS, academia, and/or industry partners.
The National Institute for Health and Care Excellence (NICE) evaluates items to see if they are cost-effective and therefore be funded by the NHS. NICE-recommended items are anticipated to be funded by NHS health service providers.
1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country
2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)
3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints
4. Competitive Landscape
4.1 Major Market Share
4.2 Key Company Profile (Check all Companies in the Summary Section)
4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)
5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment
6. Methodology and Scope
Methodology for Database Creation
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How Do We Get It?
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1. Secondary Research
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2. Primary Research
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Combining Secondary and Primary Research
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