Industry landscapes
The companies, capital and talent shaping digital diagnostics in the United Kingdom. Find the leaders. Understand the segments. See where the activity is.
An industry ecosystem,
measured in context.
24 featured companies from the funding, hiring, revenue and team-size leaderboards.
Locked revenue figures are available in Radar; the eight company financial previews stay the same throughout this page. A dash means the figure is outside these featured lists. Revenue years vary by company; the figures are not a like-for-like revenue comparison. Compare annual accounts ↗
Recently founded means a recorded 2023–2026 founding year and no recorded parent, acquirer or public-company status. These companies are not labelled startups without that separate classification.
Explore classified startups in Radar ↗A few useful ratios bring the size of this ecosystem into perspective.
29 of 714 tracked companies have open roles.
251 of 714 tracked companies have a recorded round.
Share of disclosed capital received by the three largest recorded recipients.
Midpoint of 523 rounds with a disclosed amount.
Scale is concentrated. Opportunity is broader. The three largest funding recipients hold 15.8% of disclosed capital, while 64.8% of tracked companies have no recorded funding round.
Explore the segments →Recorded company formation and disclosed funding across the complete annual series shown.
Sum of recorded funding rounds · USD
| Year | Funding (USD) | Founded | Raising |
|---|---|---|---|
| 2016 | $182.94M | 36 | 33 |
| 2017 | $60.78M | 55 | 36 |
| 2018 | $242.42M | 52 | 45 |
| 2019 | $163.05M | 59 | 55 |
| 2020 | $212.74M | 76 | 52 |
| 2021 | $345.97M | 45 | 58 |
| 2022 | $264.04M | 33 | 51 |
| 2023 | $162.89M | 30 | 39 |
| 2024 | $147.31M | 21 | 30 |
| 2025 | $264.4M | 11 | 30 |
Share of all disclosed company funding.
610 recorded rounds since 2016
Recorded participation in digital diagnostics company rounds since 2016.
Backed by Guinness Ventures.
Backed by .
Backed by Celero Ventures and EWOR and others.
Backed by IW Capital and Macmillan Cancer Support and others.
Backed by UK Innovation Science & Seed Fund and Deepbridge Capital and others.
Backed by M&G and Oxford Science Enterprises and others.
Participating investors were not recorded in this snapshot.
Backed by Angelini Ventures and LocalGlobe and others.
Backed by AllegisCyber Capital and Legal & General and others.
Backed by Cambridge Innovation Capital and Johnson & Johnson Innovation and others.
Backed by Koch Disruptive Technologies and Cambridge Innovation Capital and others.
Backed by NeoGenomics.
Backed by Imperial Innovations and Johnson & Johnson Innovation – JJDC and others.
Backed by EQT and Advent Life Sciences and others.
Backed by Wellington Partners Venture Capital and National Technology Enterprises Company and others.
Annual accounts for reporting companies linked to this landscape, on like-for-like currency and reporting bases.
Display conversions use the dated reference rates above. Where a verified rate is unavailable, figures retain their source currency. Each reporting cohort keeps its currency and accounting basis separate.
FY2025 · company accounts; aggregate reporting threshold not met · 1 reporting entities from 259 eligible matches.
Sum of reporting-entity revenue; not the United Kingdom market sales.
Combined result for the same cohort.
Combined net income ÷ combined revenue.
The middle covered reporting entity.
None of 1 covered entities.
Share of covered revenue from the five largest entities.
Reported cohort totals by year; coverage is stated for every period.
Bar height shows revenue. Changes in coverage can affect totals.
FY2025 · 1 reporting entities
Up to eight fixed company previews show financial amounts. Search and sort the wider company list, then continue in Radar.
| Company / reporting entity | Revenue | Net profit / loss | Net margin | Revenue growth | Total assets |
|---|---|---|---|---|---|
| Medimsight ↗10690657 | £0.0m | £-0.0m | -0.1% | — | — |
Explore full company accounts and filings.
Choose “View accounts” to inspect an available company preview.
Each pair uses the same year, currency and reporting basis. Cohort overlap is disclosed.
| Industry | Covered / eligible | Revenue total | Median revenue | Net profit / loss | Aggregate margin | Profitable share | Overlap |
|---|
Available-account cohorts are not estimates of whole industries. Overlapping entities can occur in more than one cohort; do not add cohort totals.
Filed annual accounts for exact designated national identifiers. Every aggregate and peer pair uses one fiscal year, source currency and reporting basis; periods, coverage and overlap are explicit; 2026 partials are excluded.
The same up to eight reporting entities remain open across years, filters and sorts. Other company figures are available in Radar.
Source currencies and accounting bases stay separate. Missing accounts are excluded rather than treated as zero. Exact reporting periods appear on company previews. Annual totals can change with coverage and do not measure growth of a fixed company cohort.
How the the United Kingdom companies on this page show up online: the sites people visit, the apps they install, and how often those apps ship.
55 of these companies (7.7%) publish at least one Android app — 83 apps in all, carrying 6.1M installs between them.
| App | Installs | Rating | Store category |
|---|---|---|---|
| Sea Hero QuestGlitchers | 1.8M | 4.7 | Adventure |
| Blood Pressure Log - MyDiaryMyDiary | 1.6M | 4.5 | Medical |
| DreamApp: Journal & DictionaryDream App | 1M | 4 | Health & Fitness |
| MyPossibleSelf: Mental HealthMy Possible Self | 578.4K | 4.6 | Health & Fitness |
| Peek AcuityPeek Vision | 221.7K | 3.5 | Medical |
| Caura: For #AllThingsCarCaura | 178.1K | — | Auto & Vehicles |
| mylife CamAPS FX (mg/dL)CamDiab | 90.1K | — | Medical |
| Memory Lane GamesMemory Lane Games | 79.2K | 3.9 | Health & Fitness |
| ThinkSono AIThinkSono | 76.3K | 4.1 | Medical |
| AnSo Anaesthesia SonoanatomyAnSo | 69.3K | 2.6 | Medical |
Installs are lifetime totals to date at the June 2026 store reading — a measure of reach, not of people using an app today.
The busiest app inside each of this page’s own segments, with the quarterly release trend behind it (2023Q1–2026Q1).
| Segment | Apps | Installs | Leading app | Release trend |
|---|---|---|---|---|
| Healthcare It | 44 | 3.9M | Sea Hero Quest 1.8M | |
| Disease Self Management | 48 | 3.8M | Blood Pressure Log - MyDiary 1.6M | |
| Wearable Technology | 22 | 1.9M | Caura: For #AllThingsCar 178.1K | |
| Mobile Gaming | 4 | 1.9M | Memory Lane Games 79.2K | |
| Pc & Console Gaming | 2 | 1.8M | Sea Hero Quest Research 21.5K | |
| Clinical Labs It | 6 | 316.3K | Peek Acuity 221.7K | |
| Diabetes | 3 | 178.3K | MSW Lifestyle 139 | |
| Life Sciences Tech | 2 | 75.8K | AnSo Anaesthesia Sonoanatomy 69.3K |
A company can carry several segment tags, so these rows overlap and should not be added together. Trend lines are zero-based and share one quarter grid, so a flat line is a quiet segment, not a missing one.
New apps published, beside apps whose most recent update landed in that quarter — the second bar is how much of the shelf is still being maintained.
Darker bars are new releases, lighter bars apps updated. 49 of 83 apps carry a release date. The series ends at 2026Q1, the last quarter that closed before the June 2026 reading.
Explore the segments behind the headline numbers.
Rank segments by scale, hiring or disclosed funding.
Companies can sit in several segments. Counts and funding overlap.
The largest measured segment in this report snapshot.
19 companies hiring · $1.36B disclosed funding
Explore in RadarCommon revenue models; a company can use more than one.
Recorded corporate activity linked to companies in this landscape.
PlaqueTec, a medtech company pioneering intracoronary liquid biopsy to identify inflammatory drivers of cardiovascular disease, has raised $5 million.
EKF Diagnostics has acquired technology assets from Beep Insights, a developer of sports performance management mobile applications.
Spotlight Pathology has secured a new investment of £1.4 million to accelerate the commercial rollout of its flagship lymphoma diagnostic AI device.
the board of the Company has approved the issue of 24,999,999 new ordinary shares of 1p each in the Company at a price of 14p per share raising £3,500,000 for the Company.
Deep‑tech semiconductor company Neuranics raised £6.1 million in seed funding to accelerate global growth and the commercial adoption of its magnetic sensing technology.
Croatian-founded GlycanAge has raised $8.7 million (€7.4 million) in a targeted funding round to accelerate the clinical development of its technology and expand access to glycan testing for clinicians worldwide.
UK-based Skin Analytics raised €17.5 million to scale its AI-driven skin-cancer detection platform across Europe
Span, the AI-native developer intelligence platform, today announced $25 million in Seed and Series A funding from Alt Capital, Craft Ventures, SV Angel, BoxGroup, and Bling Capital.
London-based CoMind , a neuro-healthtech startup, has raised over €85 million in total funding to advance its non-invasive brain monitoring technology that tracks vital brain parameters without drilling into the skull.
Another example of the potential in medtech is Cyted, whose technology detects and identifies cancers and inflammatory diseases through a non-invasive test and data-driven biomarkers.
Top 10 categories among 142 recorded events in the 24-month window.
11 tracked people moves
Appointment Chief Financial Officer
Retirement Previously Board member
Appointment Group Chief Operating Officer
Retirement Previously Group Chief Operating Officer
Appointment Chief Financial Officer
Appointment Board Member
Retirement Previously non-executive chair of the board
Resignation Previously Chief Executive Officer
4 recorded customer wins
Customer: Medical diagnostics
Customer: bootsHealthcare
Customer: Cizzle BioHealthcare diagnostics
Customer: moffitt cancer centerBiotechnology / Diagnostics
5 recorded events
approved for useNew York State Department of Health
approved for tradingLondon Stock Exchange
anticipated FDA clearance by 2027FDA
Reported company results in the recorded window.
Median across 23 reported growth observations; companies may contribute multiple periods.
Company-linked deal reports; status is preserved as recorded.
| Acquirer → target | Status | Date | Value / context |
|---|---|---|---|
| EKF→Beep insights | Announced | 2026-04-16 | Not stated in snapshot |
| ge healthcare→Intelligent Ultrasound ↗ | Announced | 2026-01-01 | $51.0M |
| telix pharmaceuticals→Lightpoint Medical ↗ | Announced | 2025-02-14 | $35.0M |
| covidien→CardioDigital ↗ | Announced | 2025-02-14 | Not stated in snapshot |
| iFAST Diagnostics→financial alliance | Announced | 2024-10-10 | Not stated in snapshot |
| Eli Lilly and Company→Aparito ↗ | Completed | 2024-07-15 | Not stated in snapshot |
A discussion or rumour is not a completed transaction. An unstated value is not zero.
1 postings in the preceding 12 months. The full 3-posting snapshot covers 3 employers.
No repeated job title is supported by this snapshot.
1 tracked postings mention remote work.
Top skills across 3 tracked postings in the available jobs snapshot.
| Company | Employees |
|---|---|
| Epredia ↗ | 863 |
| EKF ↗ | 386 |
| Abingdon Health ↗ | 151 |
| 2San ↗ | 104 |
| Cambridge Cognition ↗ | 60 |
| Circulogene ↗ | 51 |
| Axial3D ↗ | 49 |
| Ultromics ↗ | 49 |
546 founders and chief executives across 363 companies.
Ucl, ex-Inivata, ex-University Of Birmingham, University of Birmingham, 1970
CCRF. University of St Andrews BSc 1993, University of Cambridge MB 1998, PhD 1998
The University of Manchester MS 1967, The Australian National University PhD 1970
Ex-Athens Medical Grοup, Euroclinic Group, The Monitor Group · MIT Sloan School of Management MBA 2004
DNA Electronics, Founder Toumaz, ex- Owlstone Medical. Oxford Brookes University PhD 1986
Ex-T2 Biosystems, Chembio Diagnostic Systems, Accriva Diagnostics · Plymouth State University BS 1986
Co-Founder Pivotal Future & Biofidelity, ex-Founder & CEO Base4. McGill University 2005
CEO & ex-Co-Founder-QuantuMDx, Hunan Sanway Quinten Biotech · University of Sussex BSc 2007
University of Tubingen MSc 2017, University of Cambridge PhD 2020
Ex-Intelesens. University of Ulster BS 2011, University of Glasgow MSc 2012
Ex-Visa, Accenture, Westpac, London Business School
i2LResearch, ex-Fusion IP. Aberystwyth University 1984
134 profiles with education records.
10 profiles with prior-work records.
Profiles cover recorded founders and leaders; contact details remain in Radar.
4,193 papers in the recorded worldwide scope.
Tone counts: 4,102 positive · 70 neutral · 21 negative.
Landmark: Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic
Landmark: Computer-aided diagnosis for colonoscopy
Landmark: ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseas
Common problems researchers identify · 0131.4% of this theme group
Nodule (9) · Computer-aided diagnosis (26) · Lung (7) · Lung cancer (8)
Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images
New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs
| Year | Share index |
|---|---|
| 2022 | 1302.6 |
| 2023 | 1316.1 |
| 2024 | 1258.8 |
| 2025 | 1126.7 |
Common problems researchers identify · 0228.9% of this theme group
Computer-aided diagnosis (24) · Computer-aided (5) · Medical diagnosis (4) · Skin cancer (3)
Evaluation of computer-aided detection and diagnosis systems<sup>a)</sup>
Computer aided detection and diagnosis in medical imaging
| Year | Share index |
|---|---|
| 2022 | 52.5 |
| 2023 | 56.6 |
| 2024 | 53.8 |
| 2025 | 63.4 |
Common problems researchers identify · 0324.0% of this theme group
Mammography (20) · Breast cancer (19) · Breast imaging (4) · Preprocessor (5)
Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review
| Year | Share index |
|---|---|
| 2022 | 1293.1 |
| 2023 | 1659.3 |
| 2024 | 1450.5 |
| 2025 | 1333.8 |
Common problems researchers identify · 0415.7% of this theme group
Diabetic retinopathy (10) · Fundus (6) · Retinopathy (5) · Retinal (4)
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy
Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification
| Year | Share index |
|---|---|
| 2022 | 37.4 |
| 2023 | 33.7 |
| 2024 | 31.3 |
| 2025 | 33.3 |
Cautions · 0136.2% of this theme group
Mammography (16) · Breast cancer (12) · Digital mammography (5) · Computer-aided diagnosis (8)
Application of CAD in the diagnosis of breast cancer
Computer‐Aided Detection in Breast Magnetic Resonance Imaging: a Review
| Year | Share index |
|---|---|
| 2022 | 1292.8 |
| 2023 | 1659.2 |
| 2024 | 1450.4 |
| 2025 | 1333.0 |
Cautions · 0236.2% of this theme group
Pattern recognition (5) · Support vector machine (4) · Computer-aided diagnosis (8) · Magnetic resonance imaging (3)
How to Discriminate between Computer-Aided and Computer-Hindered Decisions
Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection
| Year | Share index |
|---|---|
| 2022 | 1635.1 |
| 2023 | 1527.5 |
| 2024 | 1410.8 |
| 2025 | 1347.1 |
Cautions · 0319.0% of this theme group
Receiver operating characteristic (4) · Radiography (3) · Nodule (3) · Lung cancer (3)
Observer training for computer-aided detection of pulmonary nodules in chest radiography
Impact of Voxel Normalization on Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tom
| Year | Share index |
|---|---|
| 2022 | 560.8 |
| 2023 | 465.1 |
| 2024 | 384.4 |
| 2025 | 371.9 |
Cautions · 048.6% of this theme group
Colonoscopy (5) · Virtual colonoscopy (2) · Colorectal Polyp (2) · Computer-aided diagnosis (3)
Computer-aided diagnosis for colonoscopy
Colonic polyps: application value of computer-aided detection in computed tomographic colonography.
| Year | Share index |
|---|---|
| 2022 | 8.0 |
| 2023 | 9.2 |
| 2024 | 6.4 |
| 2025 | 8.7 |
Opportunities · 0120.1% of this theme group
Pattern recognition (381) · Segmentation (254) · Image segmentation (83) · Support vector machine (121)
Computer-Aided Pathology Image Classification and Segmentation Joint Analysis Model
Application of Computer-Aided Diagnosis Technology in Brain Tumour Detection
| Year | Share index |
|---|---|
| 2022 | 705.1 |
| 2023 | 726.0 |
| 2024 | 792.5 |
| 2025 | 921.0 |
Opportunities · 0218.9% of this theme group
Computer-aided diagnosis (385) · Computer-aided (47) · Radiology (76) · Virtual colonoscopy (18)
Computer Aided Diagnosis System for Detection of Lung Cancer in CT Scan Images
Computer-aided detection systems to improve lung cancer early diagnosis: state-of-the-art and challenges
| Year | Share index |
|---|---|
| 2022 | 1108.0 |
| 2023 | 1034.0 |
| 2024 | 1013.7 |
| 2025 | 470.8 |
Opportunities · 0316.2% of this theme group
Breast cancer (260) · Breast ultrasound (76) · Mammography (156) · Breast MRI (36)
Classification of breast cancer mammogram images using convolution neural network
A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques
| Year | Share index |
|---|---|
| 2022 | 1293.0 |
| 2023 | 1659.4 |
| 2024 | 1451.1 |
| 2025 | 1334.4 |
Opportunities · 0416.1% of this theme group
Lung cancer (141) · Nodule (116) · Lung (86) · Computer-aided diagnosis (184)
Analysis of various classification techniques for computer aided detection system of pulmonary nodules in CT
A computer aided diagnosis system for detection of lung nodules from series of CT slices
| Year | Share index |
|---|---|
| 2022 | 1302.6 |
| 2023 | 1316.1 |
| 2024 | 1258.8 |
| 2025 | 1126.7 |
Opportunities · 0511.9% of this theme group
Convolutional neural network (311) · Transfer of learning (57) · Coronavirus disease 2019 (37) · Pattern recognition (152)
Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different i
Computer‐Aided Diagnosis Research of a Lung Tumor Based on a Deep Convolutional Neural Network and Global Features
| Year | Share index |
|---|---|
| 2022 | 1009.3 |
| 2023 | 914.0 |
| 2024 | 647.4 |
| 2025 | 846.8 |
Opportunities · 0611.0% of this theme group
Mammography (271) · Digital mammography (56) · Microcalcification (41) · Pattern recognition (166)
Textural features based computer aided diagnostic system for mammogram mass classification
Computer aided detection of breast masses in mammography using support vector machine classification
| Year | Share index |
|---|---|
| 2022 | 103.8 |
| 2023 | 103.1 |
| 2024 | 105.8 |
| 2025 | 90.9 |
Opportunities · 075.9% of this theme group
Diabetic retinopathy (82) · Fundus (94) · Retinal (50) · Glaucoma (39)
Proposed retinal abnormality detection and classification approach: Computer aided detection for diabetic retinopathy by machine learning ap
Computer Aided Diagnosis for Diabetic Retinopathy based on Fundus Image
| Year | Share index |
|---|---|
| 2022 | 70.8 |
| 2023 | 63.6 |
| 2024 | 62.5 |
| 2025 | 59.0 |
Orientation shares compared with 25,000 papers in the reference sample.
| Research orientation | This field | Reference sample |
|---|---|---|
| Promising | 50.2% | 37.7% |
| Breakthrough | 32.4% | 26.1% |
| Comparative | 6.6% | 3.8% |
| Descriptive | 6.5% | 17.1% |
| Problem-identifying | 2.7% | 9.9% |
| Cautionary | 1.4% | 4.5% |
| Critical | 0.3% | 0.9% |
Counts and shares refer to the stated research pool. A low count describes how much of that research is recorded here, not the absence of a real-world concern.
| Concern / example paper | Papers | Share | Raised as a problem | Worldwide share |
|---|---|---|---|---|
| Bias & fairnessBreast Cancer Mass Detection in DCE–MRI Using Deep-Learning Features Followed by Discrimination of Infiltrative vs. In S | 10 | 0.26% | 0 (0.0%) | 0.26% |
| Privacy & surveillanceDistributed Human Intelligence for Colonic Polyp Classification in Computer-aided Detection for CT Colonography | 3 | 0.08% | 0 (0.0%) | 0.08% |
| Labour & data workUnleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations | 1 | 0.03% | 0 (0.0%) | 0.03% |
| Energy & datacenter footprint | 0 | 0.0% | 0 (%) | 0.0% |
| Water use | 0 | 0.0% | 0 (%) | 0.0% |
| Carbon & emissions of compute | 0 | 0.0% | 0 (%) | 0.0% |
| Hardware, e-waste & supply chain | 0 | 0.0% | 0 (%) | 0.0% |
| Safety & misuse | 0 | 0.0% | 0 (%) | 0.0% |
| Concentration of compute power | 0 | 0.0% | 0 (%) | 0.0% |
Institution and researcher rankings use citations to their covered work. Research scope: worldwide. This may be broader than the company geography.
Compare demand signals in the United Kingdom’s newsflow with the digital diagnostics categories mapped to each signal.
Signal percentile − supply percentile = gap in percentile points. Positive gaps highlight questions to investigate. A high signal can reflect spending pressure or access friction, as well as potential demand.
The comparison is relative to the signal families on this page. A supply percentile of zero means the lowest relative reading, not zero companies. It is a prioritisation clue, not measured market size or unmet demand.
Signal and mapped-supply percentiles, their gap, and change in the signal’s article share.
Swipe horizontally to compare all columns →
| Signal family | Signal percentile | Supply percentile | Relative gap | Gap (points) | Signal share vs prior year |
|---|---|---|---|---|---|
| Air pollution ↗Environmental Driver | 14.3 | 0.0 | +14.3 | +6.7% | |
| Ageing & elder care ↗Disease Burden | 28.6 | 33.3 | -4.7 | +4.8% | |
| Cancer burden ↗Disease Burden | 42.9 | 66.7 | -23.8 | -9.3% | |
| Diabetes, hypertension & cardiac burden ↗Disease Burden | 42.9 | 100.0 | -57.1 | +30.8% | |
| Mental health ↗Disease Burden | 78.6 | — | No matching category | — | +41.2% |
| Infectious outbreaks ↗Disease Burden | 28.6 | — | No matching category | — | +13.7% |
| Maternal & child health ↗Disease Burden | 71.4 | — | No matching category | — | +33.0% |
| Layoffs & income shocks ↗Spending Pressure | 92.9 | — | No matching category | — | +37.0% |
Showing all 8 signals. Select a family for its history and mapped categories.
All 12 city readings for these demand families in the comparison geography. the United Kingdom is highlighted.
Each city’s reading is a share of its own coverage.
Maternal & child health · Infectious outbreaks · Cancer burden
Maternal & child health · Mental health · Cancer burden
Maternal & child health · Layoffs & income shocks · Cancer burden
Cancer burden · Maternal & child health · Layoffs & income shocks
Mental health · Layoffs & income shocks · Ageing & elder care
Maternal & child health · Cancer burden · Layoffs & income shocks
Cancer burden · Layoffs & income shocks · Maternal & child health
Cancer burden · Layoffs & income shocks · Mental health
Cancer burden · Ageing & elder care · Diabetes, hypertension & cardiac burden
Air pollution · Mental health · Maternal & child health
Layoffs & income shocks · Mental health · Maternal & child health
Maternal & child health · Layoffs & income shocks · Diabetes, hypertension & cardiac burden
Sustained air-quality stress can pull respiratory and cardiac care demand with it.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 117 | 5.28 |
| 2024Q4 | 115 | 5.31 |
| 2025Q1 | 119 | 4.71 |
| 2025Q2 | 134 | 6.63 |
| 2025Q3 | 188 | 7.77 |
| 2025Q4 | 82 | 4.72 |
| 2026Q1 | 87 | 4.39 |
| 2026Q2 | 51 | 5.69 |
An ageing base can shift demand toward geriatric, home and chronic care.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 128 | 5.78 |
| 2024Q4 | 219 | 10.11 |
| 2025Q1 | 215 | 8.5 |
| 2025Q2 | 186 | 9.2 |
| 2025Q3 | 276 | 11.4 |
| 2025Q4 | 97 | 5.58 |
| 2026Q1 | 163 | 8.22 |
| 2026Q2 | 82 | 9.15 |
Cancer burden can pull screening, diagnostics and oncology capacity demand.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 321 | 14.5 |
| 2024Q4 | 407 | 18.78 |
| 2025Q1 | 533 | 21.08 |
| 2025Q2 | 414 | 20.48 |
| 2025Q3 | 420 | 17.35 |
| 2025Q4 | 307 | 17.66 |
| 2026Q1 | 316 | 15.93 |
| 2026Q2 | 154 | 17.19 |
Chronic cardiometabolic burden can turn into decades of management demand per patient.
Companies can appear in multiple categories; these counts are not a unique-company total.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 112 | 5.06 |
| 2024Q4 | 106 | 4.89 |
| 2025Q1 | 133 | 5.26 |
| 2025Q2 | 170 | 8.41 |
| 2025Q3 | 182 | 7.52 |
| 2025Q4 | 158 | 9.09 |
| 2026Q1 | 137 | 6.91 |
| 2026Q2 | 60 | 6.7 |
Mental-health pressure can pull counselling and tele-psychiatry demand where it surfaces.
This signal has no matching category in the page’s digital diagnostics market map, so no supply percentile or gap is assigned.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 161 | 7.27 |
| 2024Q4 | 222 | 10.25 |
| 2025Q1 | 200 | 7.91 |
| 2025Q2 | 204 | 10.09 |
| 2025Q3 | 362 | 14.95 |
| 2025Q4 | 193 | 11.1 |
| 2026Q1 | 222 | 11.19 |
| 2026Q2 | 99 | 11.05 |
Outbreak pressure can pull testing, surveillance and rapid-care demand at short notice.
This signal has no matching category in the page’s digital diagnostics market map, so no supply percentile or gap is assigned.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 74 | 3.34 |
| 2024Q4 | 133 | 6.14 |
| 2025Q1 | 145 | 5.74 |
| 2025Q2 | 120 | 5.94 |
| 2025Q3 | 176 | 7.27 |
| 2025Q4 | 90 | 5.18 |
| 2026Q1 | 114 | 5.75 |
| 2026Q2 | 43 | 4.8 |
Maternal and child burden can pull immunisation, nutrition and pediatric care demand.
This signal has no matching category in the page’s digital diagnostics market map, so no supply percentile or gap is assigned.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 254 | 11.47 |
| 2024Q4 | 288 | 13.29 |
| 2025Q1 | 242 | 9.57 |
| 2025Q2 | 210 | 10.39 |
| 2025Q3 | 533 | 22.02 |
| 2025Q4 | 169 | 9.72 |
| 2026Q1 | 215 | 10.84 |
| 2026Q2 | 125 | 13.95 |
Layoff cycles can pull discretionary spend back toward value offerings.
This signal has no matching category in the page’s digital diagnostics market map, so no supply percentile or gap is assigned.
Mentions per 10,000 articles · zero baseline
| Quarter | Mentions | Per 10,000 articles |
|---|---|---|
| 2024Q3 | 414 | 18.7 |
| 2024Q4 | 385 | 17.77 |
| 2025Q1 | 570 | 22.55 |
| 2025Q2 | 428 | 21.18 |
| 2025Q3 | 663 | 27.39 |
| 2025Q4 | 400 | 23.01 |
| 2026Q1 | 634 | 31.96 |
| 2026Q2 | 243 | 27.12 |
the United Kingdom digital diagnostics coverage
BMJ
1,387 citations in the snapshot
The Lancet
1,270 citations in the snapshot
1,226 citations in the snapshot
BMJ
692 citations in the snapshot
the United Kingdom coverage of this page's demand families
| Keyword | Recent articles | Prior articles | Share change |
|---|---|---|---|
| vaccine misinformation impact | 105 | 23 | 479.2% |
| continuing education immunization | 121 | 27 | 468.6% |
| vaccination-induced herd protection | 86 | 22 | 396.0% |
| pediatric catch-up vaccinations | 189 | 62 | 286.8% |
| exercise oncology | 67 | 47 | 80.9% |
| blood pressure reduction rate | 41 | 30 | 73.4% |
Share changes describe coverage in the stated comparison periods, not search demand or market size.
Company counts, hiring and disclosed funding across the recorded hubs.
59.2% across the displayed hubs
7 companies hiring · $571.4M disclosed funding
Explore companies in London ↗
13.0% across the displayed hubs
4 companies hiring · $474.7M disclosed funding
Explore companies in Cambridge ↗
8.9% across the displayed hubs
3 companies hiring · $489.9M disclosed funding
Explore companies in Oxford ↗
5.9% across the displayed hubs
2 companies hiring · $65.7M disclosed funding
Explore companies in Manchester ↗
3.8% across the displayed hubs
0 companies hiring · $48.8M disclosed funding
Explore companies in Glasgow ↗
3.2% across the displayed hubs
0 companies hiring · $15.2M disclosed funding
Explore companies in Edinburgh ↗
3.0% across the displayed hubs
1 companies hiring · $48.0M disclosed funding
Explore companies in Bristol ↗3.0% across the displayed hubs
0 companies hiring · $73.6M disclosed funding
Explore companies in Newcastle Upon Tyne ↗Clear definitions for making better comparisons.
It measures the tracked company ecosystem, recorded funding, hiring and other available evidence. It is not a market-size estimate.
No. A company can belong to several segments, so segment counts and funding can overlap.
A dash or unavailable panel means the current reviewed source snapshot does not support that figure.
Company ecosystem snapshot: 1 September 2026. Funding is recorded in USD; filed accounts retain their stated currency and reporting basis. Each section identifies its own coverage. The news and research behind these sections is explorable in Prism.
Canonical landscape ↗