Table of Contents
Overview
New York, NY – August 12 , 2025 : The Global Oncology Information Systems (OIS) Market is projected to reach US$ 4.0 Billion by 2034, rising from US$ 2.9 Billion in 2024 at a CAGR of 3.2% between 2025 and 2034. In 2024, North America led the market with a 39.9% share, generating US$ 1.2 Billion. Growth is driven by the increasing complexity of cancer treatments and the rising need for integrated healthcare solutions. OIS enables streamlined management of patient data, treatment planning, and imaging information, supporting better clinical workflows in oncology care.
OIS solutions play a crucial role in personalized cancer treatment. They centralize data, automate processes, and support healthcare professionals in making informed decisions. This improves patient outcomes by offering tailored treatment options. The growing global cancer burden and the shift toward precision medicine have boosted demand for advanced data management tools. Modern OIS platforms integrate analytics and imaging, offering physicians deeper insights for diagnosis and treatment planning. This technological integration is becoming essential in advanced cancer care delivery.
Advancements in imaging technologies, such as MRI and CT, have been instrumental in enhancing OIS capabilities. These systems improve diagnosis accuracy and treatment planning efficiency. For example, in January 2023, ViewRay, Inc. received an order for 10 MRIdian MR-Guided Therapy Systems from Chindex Medical Limited. This followed China’s approval for the system’s expansion in September 2022. Such developments highlight the trend toward combining advanced radiation therapy technologies with OIS, improving accuracy and enabling innovative treatment approaches in oncology.
Healthcare providers are increasingly adopting OIS to enhance care quality while controlling costs. These systems improve operational efficiency, reduce errors, and enhance patient satisfaction. They allow oncology teams to share information seamlessly, reducing duplication of work and avoiding costly mistakes. Hospitals and cancer care centers benefit from real-time data access, improving collaboration between multidisciplinary teams. This efficiency not only supports patient safety but also helps healthcare facilities manage resources effectively in an increasingly competitive and cost-sensitive environment.
The adoption of cloud-based healthcare solutions presents a major opportunity for OIS growth. Cloud integration allows seamless connection with other healthcare platforms, enabling a unified patient care experience. This supports the ongoing digital transformation in oncology, offering secure and scalable data storage. Cloud-based OIS solutions improve accessibility, especially for remote or multi-site healthcare providers. As the demand for interoperability and data-driven decision-making rises, cloud-enabled OIS platforms are expected to play a key role in shaping the future of global oncology care.
Key Takeaways
- In 2024, the global oncology information systems market earned US$ 2.9 billion and is projected to reach US$ 4.0 billion by 2034.
- The market is growing steadily at a compound annual growth rate (CAGR) of 3.2% over the forecast period from 2025 to 2034.
- By product type, solutions dominated in 2023, accounting for 67.4% of the market share, surpassing professional services as the preferred option.
- In application segments, medical oncology led with a substantial 42.1% share, outpacing both surgical oncology and radiation oncology in 2023.
- Hospitals and diagnostic imaging centers held the largest end-user share at 52.3%, making them the primary adopters of oncology information systems.
- North America maintained its dominance in 2023, capturing 39.9% of the overall oncology information systems market revenue.
Regional Analysis
North America holds the largest revenue share of 39.9% in the oncology information systems market. The rise in cancer cases, greater use of electronic health records (EHRs), and need for integrated data management are driving growth. According to the National Cancer Institute, the US reported 445.8 new cancer cases per 100,000 people annually from 2018–2022. Widespread EHR adoption, with 78.6% of US hospitals using telemedicine by February 2024, supports the integration of cancer care platforms. Varian, part of Siemens Healthineers, saw a 10.5% revenue rise in Q4 FY2024, showing strong market demand.
Asia Pacific is expected to grow at the fastest CAGR in the coming years. This is due to rising cancer incidence, healthcare investments, and digital health initiatives. In 2022, China reported 4.82 million new cancer cases, and India had 1.41 million. The WHO launched its Global Initiative on Digital Health in July 2023 to boost digital tools in care delivery. Siemens Healthineers reported strong revenue growth in China and Asia Pacific Japan. Modernization of healthcare systems in the region will drive adoption of integrated oncology platforms.
Segmentation Analysis
The oncology information systems (OIS) market is led by the solutions segment, holding a 67.4% share. Growth in this segment is fueled by the demand for integrated, comprehensive tools to manage oncology data. OIS solutions help handle patient records, treatment plans, and outcomes. The adoption of electronic health records (EHRs) and digital health tools is boosting demand. Integration of AI and machine learning is expected to improve diagnostic accuracy, predict treatment responses, and offer real-time decision support for oncologists and healthcare providers.
Medical oncology accounts for 42.1% of the application segment, driven by the complexity of cancer treatments. This field requires precise, data-driven decision-making for chemotherapy, immunotherapy, and systemic treatments. OIS solutions are essential for managing treatment plans and tracking patient responses. The rising cancer burden, particularly in aging populations, is increasing demand. Advanced therapies need robust IT systems for data management and integration. The focus on personalized medicine and precision oncology supports the dominance of medical oncology in the OIS market.
Hospitals and diagnostic imaging centers lead the end-user segment with a 52.3% share. These facilities use OIS solutions to manage cancer care, improve coordination, and reduce administrative workloads. The integration of OIS with imaging systems enables better collaboration between oncologists, radiologists, and healthcare teams. Growing use of advanced imaging technologies such as MRI, CT, and PET scans is boosting demand for sophisticated systems. As hospitals expand oncology departments and enhance cancer treatment, the adoption of advanced OIS is expected to remain strong in the coming years.
Key Players Analysis
Key players in the oncology information systems market use advanced strategies to drive growth and improve patient care. They integrate technologies like artificial intelligence (AI) and machine learning to optimize treatment planning and enhance diagnostic accuracy. Cloud-based platforms with real-time data access and interoperability with electronic health records (EHR) are a priority. Strategic partnerships with healthcare providers, research institutions, and technology firms expand market reach. Companies also invest in mobile applications and user-friendly interfaces to improve accessibility and support efficient clinical workflows.
Varian Medical Systems is a leading provider of integrated oncology solutions. Its ARIA oncology information system supports medical and radiation oncology, including proton therapy. ARIA allows healthcare providers to access clinical images, prescriptions, lab results, and treatment outcomes in one platform. It also automates cancer staging and manages treatment toxicities. Varian focuses on innovation, scalability, and patient-centered care. The company expands into emerging markets and collaborates globally, making it a major contributor to advancements in oncology information systems.
Emerging Trends
- AI and Machine Learning for Better Cancer Care: Hospitals and cancer centers are using AI in oncology information systems to improve patient care. AI tools can predict how a patient will respond to a specific treatment. They also help doctors plan therapies with greater precision. By analyzing health data in real time, AI can detect early changes in a patient’s condition. This allows faster intervention and better outcomes. Machine learning algorithms improve over time as they process more data. This means treatment recommendations become more accurate. Using AI in cancer care helps doctors make better decisions while saving time.
- Cloud-Based Oncology Platforms: Cloud technology is transforming oncology information systems. More platforms are now hosted in the cloud, making patient records accessible from anywhere. This is helpful for hospitals with multiple locations. Doctors and care teams can collaborate more easily, regardless of where they are. Cloud-based systems also allow faster updates and easier integration with other tools. Security features are improving to protect sensitive medical data. The cloud makes sharing information between departments and facilities seamless. It also reduces the need for costly on-site servers. As a result, healthcare providers can focus more on patient care and less on IT issues.
- Integration with Genomic Data: Oncology information systems are now integrating with genomic testing data. This means doctors can design treatment plans tailored to a patient’s unique genetic profile. By analyzing DNA and genetic markers, doctors can predict which treatments are most likely to work. This personalized approach increases treatment effectiveness and reduces side effects. Genomic data integration also helps in early detection of certain cancers. It supports precision medicine, which is becoming a standard in oncology care. This trend is making cancer treatment more targeted, efficient, and patient-specific. As genomic research grows, OIS systems will play an even bigger role in cancer care.
- Tele-oncology Services: Tele-oncology is expanding rapidly as virtual healthcare becomes more common. Oncology information systems are adapting to support remote consultations. This allows cancer patients to connect with their doctors without visiting the hospital. It is especially beneficial for patients living in rural or remote areas. Doctors can review patient records, test results, and imaging data online. They can also adjust treatment plans in real time. Tele-oncology saves time for both patients and healthcare providers. It also reduces the risk of exposure to infections for immune-compromised patients. With these tools, high-quality cancer care is now more accessible than ever before.
- Real-Time Data Sharing Across Teams: Modern oncology information systems allow instant sharing of patient data. Surgeons, oncologists, radiologists, and nurses can all access the same up-to-date information. This improves collaboration between different specialists. Real-time data sharing helps avoid miscommunication and reduces errors in treatment. It also speeds up decision-making in critical situations. With everyone working from the same information, care teams can coordinate better. This leads to more accurate diagnoses and faster treatment adjustments. The result is improved patient safety and better outcomes. Real-time sharing is becoming a standard feature in advanced cancer care systems worldwide.
- Patient Engagement Features: Oncology information systems now include tools to keep patients actively involved in their care. Patient portals, mobile apps, and educational resources are becoming common. Patients can track their treatment progress, view test results, and schedule appointments online. They can also communicate securely with their care team. These features help patients understand their treatment plans better. Active engagement encourages patients to follow medical advice more closely. It also reduces anxiety by keeping them informed. By giving patients easy access to information, OIS platforms are promoting trust, transparency, and better health outcomes in cancer treatment.
- Advanced Analytics for Research: Advanced analytics is transforming oncology research. Modern OIS platforms include dashboards that analyze large amounts of treatment and outcome data. Researchers can use these tools to identify trends, evaluate treatment success rates, and improve protocols. Data analytics also supports clinical trials by providing accurate, real-time information. This leads to faster discoveries and better patient outcomes. Hospitals can also use analytics to measure performance and improve care quality. With these insights, cancer treatment strategies can be refined. Advanced analytics is helping the medical community move toward more evidence-based and effective cancer care solutions.
Use Cases
- Coordinating Cancer Treatment Plans: An OIS brings all cancer treatment details into one system. It stores surgery schedules, chemotherapy cycles, and radiation sessions in an organized way. This allows every doctor involved in a patient’s care to see the complete plan. Oncologists, surgeons, and radiologists can coordinate without confusion. It reduces the risk of delays or missed treatments. Patients also benefit because they know exactly what to expect next. This level of coordination helps ensure that each step in the treatment process is completed on time, improving overall care quality and reducing stress for both patients and healthcare teams.
- Tracking Patient Progress: OIS makes it easier for doctors to track how a patient’s cancer is responding to treatment. It records tumor size changes, side effects, and lab results in one place. This allows healthcare teams to compare progress over time and adjust the treatment plan when needed. If side effects become severe, doctors can quickly take action. The ability to monitor detailed records ensures that no important information is missed. Patients also get more personalized care, as decisions are based on accurate and up-to-date data. This tracking capability is vital for improving treatment outcomes and enhancing patient confidence in their care.
- Reducing Duplicate Tests: One of the key advantages of OIS is preventing unnecessary repeat tests. Since all patient data is stored in one system, doctors can easily access previous scans, lab results, and reports. This reduces the chance of ordering the same test twice. It saves time for patients, lowers healthcare costs, and minimizes discomfort from repeated procedures. Hospitals also benefit by optimizing resources and reducing waste. With quick access to complete patient records, care teams can make faster decisions. This not only improves efficiency but also ensures patients get the right care without delays caused by waiting for duplicate results.
- Supporting Remote Cancer Care: OIS plays a vital role in making cancer care more accessible. A patient living in a small town can connect with a specialist in another city through an OIS-linked telehealth platform. All medical records, scans, and treatment details are instantly available to the specialist. This means expert advice can be given without the patient traveling long distances. It also allows multiple doctors to collaborate online in real time. Remote cancer care through OIS helps bridge the gap between rural and urban healthcare, ensuring patients everywhere receive the same level of expertise and attention without unnecessary delays.
- Helping Research and Clinical Trials: OIS helps hospitals and research centers find patients who match specific criteria for new cancer treatments. This speeds up the recruitment process for clinical trials. Once enrolled, the system tracks patient progress, treatment response, and any side effects in real time. Researchers get accurate, organized data that can be used to evaluate the success of new therapies. Patients benefit from early access to innovative treatments, while doctors can monitor their health closely. This connection between clinical care and research accelerates medical advancements and improves the chances of finding more effective cancer treatment options in the future.
- Billing and Compliance Management: OIS can simplify the billing process in cancer care. It automatically generates billing codes for insurance claims based on the treatments given. This reduces the amount of paperwork staff must complete. The system also stores records that meet healthcare regulations, making compliance checks easier. This is important for avoiding fines or legal issues. With automated billing and compliance tools, hospitals save time and reduce administrative stress. Staff can focus more on patient care instead of handling complex paperwork. For patients, it means fewer billing errors and faster insurance approvals, making their treatment journey smoother and less stressful.
Conclusion
The oncology information systems market is set for steady growth as cancer care becomes more complex and data-driven. These systems are transforming how healthcare teams plan treatments, share information, and monitor patient progress. By integrating advanced technologies like AI, cloud computing, and genomic data, OIS platforms are improving diagnosis accuracy and enabling more personalized care.
Hospitals, clinics, and research centers are increasingly adopting these solutions to boost efficiency, reduce errors, and enhance patient experiences. With rising cancer cases worldwide and a strong push toward precision medicine, oncology information systems will continue to play a central role in shaping the future of cancer treatment and care delivery.
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