Global Radiation Therapy Planning Artificial Intelligence (AI) Market Trends and Forecast 2026–2030
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What Market Value Is Expected For The Radiation Therapy Planning Artificial Intelligence (AI) Market At The End Of The 2026–2030 Forecast Period?
The radiation therapy planning artificial intelligence (AI) market size has experienced exponential growth in recent years. It is projected to expand from $1.45 billion in 2025 to $1.79 billion in 2026, achieving a compound annual growth rate (CAGR) of 23.9%. The growth observed in the historic period can be attributed to the increasing adoption of AI-based radiotherapy solutions, growing demand for personalized cancer treatment, rising use of automation in radiation planning, expansion of oncology centers in developed regions, and an increasing focus on improving treatment accuracy.
The radiation therapy planning artificial intelligence (AI) market size is projected to experience substantial growth in the upcoming years. It is forecasted to expand to $4.18 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 23.6%. This expansion during the forecast period can be attributed to the increasing integration of cloud-based AI platforms, rising investment in healthcare digitalization, growing demand for multi-cancer AI planning tools, an expansion of research and development within oncology AI, and greater adoption in emerging markets. Significant trends anticipated for the forecast period include technological advancements in AI-driven contouring and dose calculation, innovations within cloud-based radiation therapy platforms, the development of predictive modeling for treatment outcomes, ongoing research and development in adaptive radiotherapy, and technological improvements in workflow automation and quality assurance.
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What Major Growth Drivers Are Shaping The Outlook Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
The expanding emphasis on individualized and precise radiation therapy is projected to boost the expansion of the radiation therapy planning artificial intelligence (AI) market in the coming period. This form of therapy involves customizing the radiation dose, delivery method, and treatment strategy to align with each patient’s unique tumor attributes and anatomical structure. The heightened interest in personalized and precision radiation therapy stems from clinicians’ efforts to optimize tumor eradication while simultaneously reducing harm to adjacent healthy tissues, achieved by adapting dosage, targeting, and scheduling according to the patient’s distinct tumor biology and anatomy. Radiation therapy planning AI facilitates personalized and precision radiation therapy by providing automated utilities capable of producing optimized, patient-tailored treatment schemes more rapidly and consistently than conventional manual approaches. For example, in May 2024, the Department for Health and Social Care, a UK government entity, reported that all National Health Service radiotherapy departments in England received artificial intelligence technology via £15.5 million in government funding. This technology automatically analyzes scans to differentiate cancerous cells from healthy organs 2.5 times faster than older techniques, thereby illustrating the increasing integration of precision radiotherapy methods. Consequently, the increasing concentration on personalized and precision radiation therapy is fueling the expansion of the radiation therapy planning artificial intelligence (AI) market.
What Segment Types Make Up The Radiation Therapy Planning Artificial Intelligence (AI) Market?
The radiation therapy planning artificial intelligence (AI) market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Technology: Machine Learning (ML), Deep Learning (DL), Knowledge-Based Planning (KBP)
3) By Deployment Mode: On-Premises, Cloud-Based
4) By Application: Breast Cancer, Lung Cancer, Prostate Cancer, Head And Neck Cancer, Other Applications
5) By End-User: Hospitals, Cancer Treatment Centers, Research Institutes, Other End-Users
Subsegments:
1) By Software: Automated Contouring Software, Dose Prediction Software, Plan Optimization Software, Quality Assurance Software, Outcome Analytics Software
2) By Hardware: Graphics Processing Unit Servers, High Performance Computing Clusters, Dedicated Workstation Hardware, Edge Computing Devices
3) By Services: Implementation And Integration Services, Training And Support Services, Data Management Services, Clinical Validation Services
Which Market Trends Are Creating New Opportunities In The Radiation Therapy Planning Artificial Intelligence (AI) Market?
Leading companies operating in the radiation therapy planning artificial intelligence (AI) market are focusing on developing sophisticated solutions, including AI-driven automation and integrated tools, with the aim of boosting precision, enhancing clinical efficiency, and reducing manual planning time. These AI-driven automation and integrated tools refer to advanced algorithms that simplify complex treatment planning processes, thereby minimizing user intervention and variability. For instance, in July 2024, RaySearch Laboratories AB, a Sweden-based medical technology company, introduced its RayStation 2024B treatment planning system. This comprehensive platform features advanced AI-based auto-contouring and a new Proton Monte Carlo dose calculation engine designed for unparalleled accuracy. It further includes automated tools for adaptive therapy and plan optimization, enabling seamless integration of MR-Linac workflows and streamlined proton beam therapy planning without extensive manual effort. Moreover, the system incorporates enhanced scripting and module integration, extending its versatility and reducing operational complexity for oncology clinics and research institutions.
Which Major Firms Influence Developments In The Radiation Therapy Planning Artificial Intelligence (AI) Market?
Major companies operating in the radiation therapy planning artificial intelligence (AI) market are Philips Healthcare, Siemens Healthineers AG, Elekta AB, Brainlab SE, Accuray Incorporated, RaySearch Laboratories AB, GE HealthCare, MVision AI, Spectra Medical India Pvt. Ltd., Coexya, LAP GmbH Laser Applikationen, Radformation Inc., TheraPanacea, DOSIsoft SA, Siris Medical Inc., Prowess Inc., Manteia Medical Technologies, Oncora Medical Inc., Adaptiiv Medical Technologies Inc., ViewRay Systems Inc., Pvmed Inc., Doctors App, Mirada Medical Ltd., Vision RT Ltd.
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Which Global Regions Are Shaping The Competitive Landscape Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
North America was the largest region in the radiation therapy planning artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the radiation therapy planning artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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