Growth In The Radiation Therapy Planning Artificial Intelligence (AI) Market Is Being Driven By Rising Focus On Personalized And Precision Radiation Therapy Fueling The Market Growth Due To Rising Adoption Of AI-Driven Treatment Planning
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What Changes In Market Value Are Expected For The Radiation Therapy Planning Artificial Intelligence (AI) Market Over The 2026–2030 Period?
The radiation therapy planning artificial intelligence (AI) market has witnessed substantial growth in its size over recent years. It is anticipated to expand from $1.45 billion in 2025 to $1.79 billion in 2026, achieving a compound annual growth rate (CAGR) of 23.9%. This historical expansion can be attributed to several factors, including the increasing adoption of AI-based radiotherapy solutions, the rising demand for personalized cancer treatment, a greater utilization of automation in radiation planning, the expansion of oncology centers in developed regions, and a heightened focus on enhancing treatment accuracy.
The radiation therapy planning artificial intelligence (AI) market size is poised for substantial growth in the upcoming years. It is forecast to grow to $4.18 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.6%. This projected expansion during the forecast period is driven by the increasing integration of cloud-based AI platforms, heightened investment in healthcare digitalization, a rising demand for multi-cancer AI planning tools, the broadening of research and development in oncology AI, and its growing adoption in emerging markets. Key trends expected over this period include technological innovations in AI-driven contouring and dose calculation, advancements in cloud-based radiation therapy platforms, the creation of predictive modeling for treatment outcomes, intensified research and development in adaptive radiotherapy, and technological improvements in workflow automation and quality assurance.
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What Primary Drivers Are Shaping The Radiation Therapy Planning Artificial Intelligence (AI) Market?
The increasing emphasis on personalized and precise radiation therapy is anticipated to boost the expansion of the radiation therapy planning artificial intelligence (AI) market in the future. This approach involves customizing radiation dosage, delivery methods, and treatment strategies precisely for each patient’s unique tumor attributes and anatomical features. The prominence of personalized and precision radiation therapy is growing because medical professionals aim to maximize tumor eradication while simultaneously reducing harm to healthy adjacent tissues, achieved by adjusting the dose, targeting, and timing according to the specific tumor biology and anatomy of each patient. Radiation therapy planning AI facilitates personalized and precision radiation therapy by providing automated functionalities that produce optimized, patient-specific treatment plans more rapidly and with enhanced uniformity compared to conventional manual procedures. For example, in May 2024, the Department for Health and Social Care, a UK government body, reported that all National Health Service radiotherapy units in England received artificial intelligence technology via £15.5 million in government funding, where the technology automatically examines scans to differentiate cancerous cells from healthy organs 2.5 times faster than prior techniques, showcasing an increasing embrace of precision radiotherapy methods. Consequently, the heightened focus on personalized and precision radiation therapy is propelling the growth of the radiation therapy planning artificial intelligence (AI) market.
What Are The Key Segment Divisions In The Radiation Therapy Planning Artificial Intelligence (AI) Market Segment Structure?
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
What Trends Are Affecting The Growth Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
Leading companies in the radiation therapy planning artificial intelligence (AI) market are focused on developing cutting-edge solutions, such as AI-driven automation and integrated instruments, to boost accuracy, improve clinical workflow, and shorten manual planning duration. These AI-driven automation and integrated tools refer to sophisticated algorithms that streamline intricate treatment planning processes, minimizing human intervention and variability. For instance, in July 2024, RaySearch Laboratories AB, a medical technology company based in Sweden, unveiled the RayStation 2024B treatment planning system. This comprehensive platform features advanced AI-based auto-contouring and a new Proton Monte Carlo dose calculation engine, offering unparalleled accuracy. It encompasses automated tools for adaptive therapy and plan optimization, allowing for the seamless integration of MR-Linac workflows and simplified proton beam therapy planning without significant manual effort. The system additionally integrates enhanced scripting and module integration, expanding its versatility and decreasing operational complexity for oncology clinics and research institutions.
Which Organizations Are Engaged 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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Where Is The Radiation Therapy Planning Artificial Intelligence (AI) Market Primarily Concentrated By Region?
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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