Global AI in Cancer
Diagnostics Market Segmentation, By Technology (Machine
Learning (ML) {Supervised Learning, Unsupervised Learning, Deep Learning}, Natural
Language Processing (NLP), Computer Vision), By Cancer Type (Breast Cancer, Lung
Cancer, Prostate Cancer, Colorectal Cancer, Blood Cancers), By Diagnostic Tool
(Radiology Imaging, Pathology, Genomics & Biomarker Analysis, Endoscopy), By
End User (Hospitals & Diagnostic Centers, Research Institutes, Pharmaceutical
Companies)- Industry Trends and Forecast to 2033
Global AI in Cancer Diagnostics
Market size was valued at USD 287.6 million in 2024 and is expected to grow
at a CAGR of 23.4% during the forecast period of 2025 to 2033.
Global AI in Cancer Diagnostics Market Overview
Artificial Intelligence (AI) in
most cancers diagnostics is remodeling the manner cancers are detected,
analyzed, and managed. Leveraging system learning, deep learning, and picture
popularity technologies, AI structures can unexpectedly and correctly examine
scientific imaging, pathology slides, and genomic records to perceive cancerous
patterns. This hurries up diagnosis, reduces human error, and permits early
detection, enhancing affected person outcomes. AI additionally performs a
essential function in predictive analytics and customized remedy planning. As
most cancers instances upward thrust globally and healthcare structures are
seeking for green diagnostic tools, AI-powered solutions are gaining.
Global AI in Cancer Diagnostics Market Scope
|
Factors |
Description |
|
Years Considered |
·
Historical Period: 2020-2023 ·
Base Year: 2024 ·
Forecast Period: 2025-2033 |
|
Segments |
·
By Technology: Machine Learning (ML)
{Supervised Learning, Unsupervised Learning, Deep Learning}, Natural Language
Processing (NLP), Computer Vision ·
By Cancer Type: Breast Cancer, Lung Cancer,
Prostate Cancer, Colorectal Cancer, Blood Cancers ·
By Diagnostic Tool: Radiology Imaging,
Pathology, Genomics & Biomarker Analysis, Endoscopy ·
By End User: Hospitals & Diagnostic
Centers, Research Institutes, Pharmaceutical Companies |
|
Countries Catered |
North America ·
United States ·
Canada ·
Mexico Europe ·
United Kingdom ·
Germany ·
France ·
Spain ·
Italy ·
Rest of Europe Asia Pacific ·
China ·
India ·
Japan ·
Australia ·
South Korea ·
Rest of Asia Pacific Latin America ·
Brazil ·
Argentina ·
Rest of Latin America Middle East
& Africa ·
Saudi Arabia ·
South Africa ·
Rest of MEA |
|
Key Companies |
·
PathAI |
|
Market Trends |
·
Growing Demand for Personalized Medicine ·
Integration with Radiology and Pathology |
Global AI in Cancer Diagnostics Market Dynamics
The global AI in cancer
diagnostics market is being driven by a convergence of technological
advancements, increasing cancer occurrence rates, and growing demand for early
and accurate diagnostic solutions. One of the number one drivers is the growing
adoption of AI-powered diagnostic equipment through hospitals, study
institutions, and diagnostic laboratories to improve diagnostic accuracy,
shorten turnaround time, and enhance affected person outcomes. AI systems,
particularly the ones that use deep gaining knowledge of and photo analysis,
are proving in particularly powerful in detecting diffuse styles in radiology
and pathology pictures, which can be frequently overlooked by human eyes. The
marketplace is witnessing key traits which include the combination of AI with
telepathology, cloud-primarily based totally diagnostics, and next-generation
sequencing (NGS) for real-time and remote cancer diagnostics. Additionally,
collaborations among AI startups and healthcare carriers are accelerating the
commercialization of progressive diagnostic platforms.
Opportunities abound in growing
areas in which healthcare infrastructure is expanding, and virtual fitness
adoption is growing. There's additionally scope for AI packages in uncommon and
complicated cancer types, in which conventional diagnostics face limitations.
However, restraints that include excessive preliminary implementation costs,
regulatory hurdles, and information privacy worries pose demanding situations
to wider adoption. Moreover, AI algorithms require large and varied datasets
for training, which might not usually be comfortably available, particularly in
underdeveloped healthcare markets. Additionally, skepticism amongst clinical
specialists concerning AI's reliability and the shortage of standardization in
AI fashions, in addition mission its integration into medical workflows.
Global AI in Cancer
Diagnostics Market Segment Analysis
The global AI in most cancers
diagnostics marketplace is segmented throughout 4 key dimensions: technology,
cancer type, diagnostic tool, and give up consumer every gambling a vital
function in shaping the adoption and effect of AI inside oncology diagnostics.
By Technology, the marketplace is divided into Machine Learning (ML), Natural
Language Processing (NLP), and Computer Vision. Within ML, supervised mastering
is the maximum broadly used because of its reliability in classifying and
predicting most cancers kinds primarily based totally on categorized datasets.
Unsupervised mastering is gaining traction for its cap potential to locate
hidden styles with out pre-categorized facts, beneficial in uncommon most
cancers detection. Deep mastering, a subset of ML, is an increasing number of
utilized in radiology and pathology for picture recognition, imparting advanced
accuracy in tumour detection. NLP is being leveraged to extract vital
statistics from scientific notes and studies papers, assisting evidence-primarily
based totally diagnostics. Computer Vision permits machines to interpret
scientific snap shots including X-rays, MRIs, and pathology slides, automating
and accelerating most cancers detection.
By Cancer Type, the AI diagnostic
marketplace covers essential cancers, including breast cancer, lung cancer,
prostate cancer, colorectal cancer, and blood cancers like leukemia and
lymphoma. Breast and lung cancers dominate the phase because of their excessive
international occurrence and the extent of picture-primarily based totally
diagnostics, making them perfect applicants for AI integration. AI is
increasingly being applied to improve early detection, staging, and treatment
planning for those cancer kinds. By Diagnostic Tool, AI is incorporated into
radiology imaging, pathology, genomics & biomarker analysis, and endoscopy.
Radiology imaging remains the main application, with AI algorithms notably
enhancing accuracy in detecting tumors and metastases. In pathology, AI assists
in digitizing and studying biopsy samples, even as in genomics, it aids in
deciphering large genomic data for biomarker identification. AI-pushed
endoscopy gear is enhancing visualization and anomaly detection at some point
of minimally invasive procedures. By End User, hospitals & diagnostic
facilities shape the biggest consumer base, pushed through quicker and greater
accurate diagnostic processes. Research institutes are also key adopters, the
usage of AI to discover new diagnostic methodologies and drug discovery
avenues.
Global AI in Cancer
Diagnostics Market Regional Analysis
The global AI in most cancers
diagnostics marketplace famous huge nearby variation, with North America main
due to sturdy investments in AI healthcare technologies, sturdy R&D
infrastructure, and the presence of key gamers inclusive of IBM Watson Health
and Tempus. The United States money owed for the biggest share, pushed through
excessive most cancers prevalence, superior imaging systems, and supportive
regulatory frameworks from the FDA. Europe follows closely, with global places
like Germany and the UK actively integrating AI into public healthcare systems,
supported thru tasks similar to the European Cancer Imaging Initiative. The
Asia-Pacific vicinity is witnessing rapid growth, specifically in China, Japan,
and India, as a result of developing maximum cancers cases, improving
healthcare infrastructure, and government investments in AI and precision
medicine. Meanwhile, Latin America and the Middle East & Africa are rising
markets, wherein growing recognition and virtual fitness reforms are predicted
to progressively decorate AI adoption in oncology diagnostics.
Global AI in Cancer Diagnostics Market Key Players
·
IBM Watson Health
·
Google Health (DeepMind)
·
Microsoft (InnerEye)
·
Siemens Healthineers
·
GE Healthcare
·
PathAI
·
Tempus Labs
·
Flatiron Health
·
Hologic, Inc.
·
Butterfly Network, Inc.
Recent Developments
In December 2024, Sheba
Medical Center’s ARC Innovation partnered with Roche to integrate AI
algorithms into Roche’s navify® digital pathology platform for non-small cell
lung cancer (NSCLC). This joint initiative aims to streamline molecular marker
detection and enhance diagnostic precision and speed.
In May 2024, South
Korea’s Lunit acquired Volpara Health Technologies for approximately KRW 264.7 billion (~USD 191 million). This enhances its
breast cancer detection AI suite and expands data resources for autonomous
screening models, with ambitions to roll out in developing regions..
Research Methodology
At Foreclaro Global Research, our
research methodology is firmly rooted in a comprehensive and systematic
approach to market research. We leverage a blend of reliable public and
proprietary data sources, including industry reports, government publications,
company filings, trade journals, investor presentations, and credible online
databases. Our analysts critically evaluate and triangulate information to
ensure accuracy, consistency, and depth of insights. We follow a top-down and
bottom-up data modelling framework to estimate market sizes and forecasts,
supplemented by competitive benchmarking and trend analysis. Each research
output is tailored to client needs, backed by transparent data validation
practices, and continuously refined to reflect dynamic market conditions.
