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How Is The Market Value Of The Radiation Therapy Planning Artificial Intelligence (AI) Market Projected To Expand During 2026–2030?

The radiation therapy planning artificial intelligence (AI) market size has undergone significant expansion in recent years. It is anticipated to grow from $1.45 billion in 2025 to $1.79 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.9%. The market’s past growth is attributable to the increasing adoption of AI-based radiotherapy solutions, a rising demand for personalized cancer treatment, the growing utilization of automation in radiation planning, the expansion of oncology centers across developed regions, and an intensified focus on enhancing treatment accuracy.

The radiation therapy planning artificial intelligence (AI) market size is projected to experience significant expansion in the coming years. By 2030, it is expected to reach $4.18 billion, growing at a compound annual growth rate (CAGR) of 23.6%. This anticipated growth during the forecast period is fueled by the increasing integration of cloud-based AI platforms, greater investment in healthcare digitalization, a rising demand for multi-cancer AI planning tools, an expansion of research and development in oncology AI, and increased adoption in emerging markets. Prominent trends observed in this period include technological advancements in AI-driven contouring and dose calculation, innovations in cloud-based radiation therapy platforms, the development of predictive modeling for treatment outcomes, ongoing research and development in adaptive radiotherapy, and technological enhancements in workflow automation and quality assurance.

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What Market Drivers Are Helping Shape The Radiation Therapy Planning Artificial Intelligence (AI) Market Expansion?

The increasing emphasis on personalized and precision radiation therapy is anticipated to fuel the expansion of the radiation therapy planning artificial intelligence (AI) market in the future. This type of therapy involves customizing radiation dosage, delivery techniques, and overall treatment planning specifically to an individual patient’s unique tumor characteristics and anatomical structure. Clinicians are increasingly focusing on personalized and precision radiation therapy to maximize tumor control while simultaneously minimizing damage to surrounding healthy tissue, which they achieve by tailoring the dose, targeting, and timing to each patient’s specific tumor biology and anatomy. Radiation therapy planning AI supports this by providing automated tools capable of generating optimized, patient-specific treatment plans more rapidly and consistently than traditional manual methods. For instance, an announcement from the Department for Health and Social Care, a UK government department, in May 2024, stated that all National Health Service radiotherapy departments across England were allocated artificial intelligence technology through £15.5 million in government funding. This technology automatically reviews scans to differentiate between cancerous cells and healthy organs 2.5 times faster than previous methods, thereby showcasing the increasing adoption of precision radiotherapy techniques. Thus, the heightened focus on personalized and precision radiation therapy is a key driver for the growth of the radiation therapy planning artificial intelligence (AI) market.

Which Segment-Based Categories Are Covered In 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 Trends Are Expected To Shape The Radiation Therapy Planning Artificial Intelligence (AI) Market?

Leading companies in the radiation therapy planning artificial intelligence (AI) market are prioritizing the creation of advanced solutions, including AI-powered automation and integrated instruments, with the aim of increasing precision, boosting clinical efficiency, and cutting down manual planning duration. These AI-driven automation and integrated tools refer to intricate algorithms that simplify complex treatment planning procedures, thereby reducing user input and variability. As an illustration, in July 2024, RaySearch Laboratories AB, a medical technology firm situated in Sweden, unveiled its RayStation 2024B treatment planning system. This comprehensive platform is equipped with sophisticated AI-based auto-contouring and a new Proton Monte Carlo dose calculation engine to deliver exceptional accuracy. It incorporates automated features for adaptive therapy and plan optimization, allowing for seamless integration of MR-Linac workflows and streamlined proton beam therapy planning without requiring significant manual effort. Additionally, it includes enhanced scripting and module integration, which expands the system’s versatility and diminishes operational complexities for oncology clinics and research establishments.

Which Companies Form The Competitive Landscape Of 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 Region Stands As The Largest Contributor To 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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