United States AI in Oncology Market Growth Powered by Precision Medicine & Clinical AI Adoption | Major Players: Azra Al, CureMetrix, Inc., ConcertAI, Immunai, MVision AI Inc., Paige AI, Inc.

The global AI in oncology market size reached US$ 2.43 Billion in 2024 and is expected to reach US$ 22.85 Billion by 2033, growing at a CAGR of 25.3% during the forecast period 2025-2033.

The AI in Oncology market analysis by DataM Intelligence delivers authoritative insights into the sector's growth, offering geographic coverage, demand outlook, and strategic trends that highlight both regional dominance and emerging opportunities. Beyond a surface-level overview, the research explores underlying drivers, breakthrough innovations, and market dynamics that could transform the AI in Oncology industry during the forecast period. Backed by in-depth data and expert evaluation, this study empowers stakeholders with reliable, actionable intelligence to navigate challenges, capture growth opportunities, and make informed decisions in a competitive global landscape. Will the AI in Oncology market emerge as the sector's next major growth frontier? The projections reveal the answer.

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DataM Intelligence profiles some of the most reputed organizations present in the AI in Oncology market. They are as follows: Azra Al, CureMetrix, Inc., ConcertAI, Immunai, MVision AI Inc., Paige AI, Inc., Mindpeak GmbH, Imagene AI Ltd., Predictive Oncology, Tempus, among others.

AI in oncology applies machine learning to imaging, pathology, genomics, and clinical decision support to accelerate diagnosis, personalize treatment, and optimize trial matching; the market includes software, validation services, and integrated diagnostic platforms. Adoption is propelled by improved outcomes and workflow efficiency but requires regulatory validation. In the U.S., 2025 developments include expanded regulatory clearances for AI tools in radiology and pathology, increased clinical adoption in tumor boards, and partnerships between AI vendors and cancer centers.

AI in Oncology Market Dynamics:

Growth Driver in AI in Oncology Market: Rising cancer prevalence and the need for precise diagnostics drive AI adoption in oncology.

Restraints in AI in Oncology Market: Data privacy issues and lack of standardized AI integration restrain adoption.

AI in Oncology Market Opportunities: AI-driven drug discovery, imaging, and personalized therapy offer significant growth potential.

AI in Oncology Market Challenges: Clinical validation, regulatory hurdles, and physician acceptance remain barriers.

Segment Covered in the AI in Oncology Market:

▶ By Component Type: Software, Hardware, Services
▶ By Cancer Type: Breast Cancer, Lung Cancer, Prostate Cancer, Skin Cancer, Others
▶ By Application: Cancer Detection, Drug Discovery, Drug Development, Others
▶ By End User: Hospitals, Pharmaceutical Companies, Research Institutes, Others

United States: Recent Industry Developments

✅ In September 2025, Tempus expanded its AI-driven oncology platform to include predictive treatment recommendations for lung and breast cancers, supporting personalized care.
✅ In August 2025, IBM Watson Health partnered with leading cancer centers to deploy AI-based tumor profiling and clinical trial matching.
✅ In July 2025, Google Health introduced Deep Learning models for early cancer detection using radiology imaging datasets in U.S. hospitals.
✅ In June 2025, PathAI launched AI tools for digital pathology workflows, improving diagnostic accuracy and turnaround times in oncology labs.
✅ In May 2025, Flatiron Health integrated AI algorithms to analyze real-world oncology data, enhancing evidence-based treatment decisions.

Europe: Recent Industry Developments

✅ In September 2025, Siemens Healthineers Europe deployed AI-powered imaging analytics for early detection of colorectal and breast cancers across Germany and France.
✅ In August 2025, Philips Healthcare launched AI-enabled radiotherapy planning tools in the UK and Italy to optimize patient-specific treatment.
✅ In July 2025, Owkin (France) expanded its AI-driven clinical trial simulations for oncology drug development in collaboration with EU hospitals.
✅ In June 2025, GE Healthcare Europe introduced AI-enhanced PET-CT and MRI analysis tools for precision oncology.
✅ In May 2025, Oxford Nanopore Technologies integrated AI into genomic oncology workflows for faster biomarker identification in cancer patients.

Asia-Pacific: Recent Industry Developments

✅ In September 2025, Fujifilm Medical Systems Japan expanded AI-assisted cancer imaging platforms for early detection of gastrointestinal and lung cancers.
✅ In August 2025, Samsung Medison South Korea launched AI-driven breast and liver cancer screening solutions across hospitals and diagnostic centers.
✅ In July 2025, Tencent Healthcare (China) deployed AI-powered oncology decision support systems in collaboration with regional cancer centers.
✅ In June 2025, Hitachi Healthcare Japan launched machine learning models for personalized radiotherapy and treatment planning.
✅ In May 2025, Infosys Healthcare implemented AI-enabled oncology data integration platforms in India and Southeast Asia to improve clinical trial and treatment outcomes.

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Regional Analysis:

The global AI in Oncology Market report focuses on six major regions: North America, South America, Europe, Asia Pacific, the Middle East, and Africa.

The report on AI in Oncology market delivers in-depth insights into new product launches, technological advancements, innovative services, and ongoing R&D activities shaping the industry. The study combines qualitative and quantitative analysis, incorporating tools such as PEST, SWOT, and Porter's Five Forces to evaluate the AI in Oncology market landscape, while also highlighting raw material sourcing, distribution channels, production capacities, supply chain structures, and detailed product specifications.

Regionally, North America leads the AI in Oncology market with strong R&D investments and early technology adoption, with the United States showing robust growth driven by high healthcare spending, innovation hubs, and favorable regulatory frameworks. Europe follows with a focus on sustainability and stringent standards, while Asia Pacific is the fastest-growing region supported by rapid industrialization, rising consumer demand, and government initiatives. South America exhibits steady expansion with improving economic conditions, and the Middle East & Africa show gradual progress fueled by infrastructure development, diversification, and increasing foreign investments.

Points Covered in this Report:

📌 Market Overview: This section outlines five key chapters, covering research scope, leading manufacturers, market segments, AI in Oncology market categories, study objectives, and the timeline considered for analysis.

📌 Market Landscape: Provides an evaluation of the competitive environment in the global AI in Oncology market, analyzing value, revenue, turnover, and market share by company, along with growth trends, recent transactions, sales performance, and competitive developments.

📌 Company Profiles: Examines the top players in the global AI in Oncology market, focusing on their sales performance, core products, pricing strategies, revenue, gross profit margins, and production growth.

📌 Regional Market Outlook: Offers a detailed breakdown of sales, revenue, supply, gross margin, CAGR, market share, and overall size across regions including North America, Europe, Asia Pacific, the Middle East & Africa, and South America.

📌 Market Segmentation: Presents in-depth research into how various applications, end-users, and product types contribute to overall market growth in the AI in Oncology market.

📌 Market Forecast - Production Side: Highlights projections for production volumes and values, forecasts for leading producers, and production trends by product type.

📌 Research Findings: Summarizes the key results and insights uncovered throughout the study.

📌 Conclusion: Concludes the report with final observations and insights drawn from the overall analysis.

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People Also Ask:

Q.1. What are the key driving forces behind the growth of the AI in Oncology industry?
Q.2. Which factors are supporting market expansion, and which challenges are hindering the AI in Oncology market?
Q.3. What is the overall structure of the market, and what risks and opportunities does it present?
Q.4. How do pricing, revenue, and sales performance compare among the leading companies in the AI in Oncology market?
Q.5. What are the major market segments, and how is the AI in Oncology market categorized?
Q.6. Which companies hold a dominant position in the market, and what share do they command?
Q.7. What current and emerging trends are shaping the AI in Oncology market landscape?

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