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The Oncology Information Systems Market Size was valued at USD 3.1 Billion in 2023 and is expected to reach USD 6.1 Billion by 2032, growing at a CAGR of 7.84% over the forecast period 2024-2032.
The Oncology Information Systems (OIS) Market report offers complete insights including key cancer statistics like incidence and prevalence and adoption, and other metrics on OIS solutions in various healthcare facilities. The model also analyzes regional trends in oncology prescriptions, device volume and OIS integration and healthcare IT spending on OIS solutions. The report also deals with trends in regulatory compliance and data security, with an analysis of region and cybersecurity behaviour. These insights help stakeholders understand market dynamics, investment trends, and regulatory challenges in the evolving oncology IT landscape. The increasing incidence of cancer and the growing requirement to minimize the costs of oncology related care are some of the major factors boosting the demand for oncology information systems (OIS) globally.
Market dynamics
Drivers
Rising global cancer prevalence necessitates efficient data management and treatment planning.
Owing to the rising prevalence of cancer worldwide, the adoption of Oncology Information Systems (OIS) has gained traction as one of the major factors driving the growth of the market. World Health Organization reported that cancer is one of the leading causes of death around the world, claimed about 10 million deaths. With increasing cases of cancer, efficient data management and treatment planning solutions are required, which OIS provides. As an example, the U.S. Department of Veterans Affairs employs the VistA system, a health information system containing electronic health records and clinical modules within its oncology modules for the tracking and management of patient data. In a like manner, OpenMRS, an open-source software platform, has been customized for use in oncology to help with capturing, integrating, managing, and visualizing patient data related to patient treatment plans in a number of health systems. The above examples demonstrate how OIS facilitates data management and phase to enhance treatment planning with the hope of improving patient outcomes in the face of increasing cancer burden.
Restraints:
High implementation and maintenance costs deter smaller healthcare facilities.
Oncology Information Systems (OIS) adoption involves high upfront costs which can be disadvantageous, especially for small healthcare setups. OIS typically cost between USD 3 million to USD 10 million in OIS deployment costs up front, depending on the size and complexity of your organization. These are include software license, hardware infrastructure to host the system and pay for the integration of the system into the existing workflows. Even after the initial cost, further financial constrictions come by way of system maintenance, periodic software updates, and extensive staff trainings. For institutions facing restricted budgets, as is common in rural or underrepresented areas, these aggregate costs quickly become prohibitive and play a significant role in the limited implementation of OIS solutions across the nation. Therefore, the considerable expense related to performing and maintaining OIS is a major impediment to its implementation, especially where resources are limited.
Opportunities:
Integration of artificial intelligence enhances personalized treatment and predictive analytics.
Artificial Intelligence in Oncology Information Systems offers major new avenues toward personalized treatment and predictive analytics. Recent developments illustrate the value of AI in helping identify potential sites of disease and assist in creating personalized therapeutic regimens. In England, the implementation of an AI tool called "C the Signs" in general practitioner (GP) practices increased cancer detection rates from 58.7% to 66.0%. This system scans patient's records for patterns of cancer risk and triggers a timely investigation and referral. A comparable study done at UCLA assessed an AI tool called Unfold AI, which identified prostate cancer with 84% accuracy, compared to 67% accuracy for human physicians. It employs clinical data to produce breast cancer estimation maps in 3D, assisting with more accurate diagnosis and treatment decisions.
AI-assisted mammography is becoming a new promising technology in breast cancer care. Conventional mammograms are accurate 85-90% of the time, however, in women with dense breast tissue the sensitivity is only 30%. To address these issues, AI integration will help to minimize the gap and help recognize appropriate patterns and any abnormality better, increasing the possibility of detection. AI is also being employed to create individualized treatment regimens. For instance, Artera's Multimodal Artificial Intelligence platform analyzes patient records and biopsy images to tailor prostate cancer treatments, optimizing therapy selection for better patient outcomes.
Challenges:
Interoperability issues hinder seamless data exchange across diverse healthcare systems.
The use of Oncology Information Systems (OIS) is greatly hampered by interoperability issues, which prevent data flow by blocking the smooth exchange of information across different healthcare platforms. The main problem is the decentralization of data; patient data are not available in one place, but rather data are dispersed across different systems such as Electronic Health Records (EHR), imaging databases, and laboratory reports, each using proprietary formats. Without standardization, the integration of patient data is complex, and can therefore result in delays in treatment decisions. As an example, a recent report demonstrated that just 62% of US hospitals were able to send, receive, find, and integrate health information from external systems electronically, exposing a major limitation in interoperability initiatives.
Additionally, the absence of universally adopted data exchange protocols exacerbates these challenges. Although standards like Fast Healthcare Interoperability Resources (FHIR) are used, poor implementation among various healthcare organizations causes interoperability deficiencies. Legacy processes that do not comply with the current standard only complicate the fluidity of data sharing. This hinders collaboration in care due to fears of breaches and noncompliance with regulations, which is both a privacy and security concern in most of the cases. Overcoming these interoperability barriers is essential to improve OIS efficiency and effectiveness resulting in better patient outcomes in oncology care.
Segment Analysis
By Product & Services
The solutions segment dominated the OIS market in 2023 with a share of 72%. This dominance can be ascribed to the rising adoption of innovative software solutions developed to accelerate management, treatment planning, and delivery of patient data. This segment has seen strong growth due to U.S. government support for electronic health records (EHR) integration. Additionally, programs such as the Rapid Cancer Reporting System from the NCDB allow accredited facilities to submit and analyze data in real-time, accelerating adoption. In addition, the emergence of hybrid MRI systems and AI-based analytics has improved diagnostic accuracy making these solutions must-have tools for contemporary oncology practices.
By Application
The medical oncology segment held the largest share of 60% in 2023 owing to the growing patient population receiving chemotherapy, immunotherapy as well as targeted therapies. Cancer deaths are projected to reach 15.3 million each year by 2040 according to the National Cancer Institute, underscoring the need for novel systems to support complex treatment regimens. OIS has become an indispensable component of medical oncology for drug dose tracking, side-effect management, and ensuring adherence to treatment regimens.
Government initiatives such as the U.S. Cancer Moonshot have placed even greater focus on precision medicine, matching the ability of OIS to enable tailored treatments, in this case for individual tumors. Moreover, NCDB data show better survival outcomes and fewer errors and complications in treatment with regular outcome updates of patients through RCRS2. Such an emphasis on improving therapeutic efficacy and safety for patients solidifies the market leadership for medical oncology.
By End-User
The hospitals and diagnostic imaging centers segment led the market in 2023 owing to their advanced infrastructure and effective implementation of OIS. Increased healthcare costs worldwide have made it possible for the hospital to utilize these systems to address and control the problems of the patients better. For example, the benchmarking tools from NCDB enable hospitals to compare their peer performance and discover opportunities for improvement.
In addition, hospitals deal with a high amount of cancer cases per year. In North America alone, over 1.9 million new cancer diagnoses were recorded. Such a high patient footfall demands strong systems to manage data across touchpoints of care diagnosis, treatment planning and follow up. With increasing investments in hospital IT systems worldwide, this segment is poised for sustained growth.
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Regional Analysis
North America region dominated with the largest revenue share 36% of the oncology information systems (OIS) market in 2023. The high adoption rate of electronic health records (EHR) and the growing emphasis on patient data management are propelling the dominance of the region owing to the developed healthcare infrastructure. The U.S. had the highest share of the global market, owing to robust investments in healthcare and cancer diagnosis and treatment. An increasing need for the management of treatment schedules, dose optimization, and treatment planning are some factors additional factors supporting the OIS adoption in North America. Nonprofit organizations and government programs such as Medicare also have pushed the adoption of OIS in the health systems. Such initiatives have enhanced treatment results and decreased errors, thus, leading to a lucrative market home for OIS providers in North America
The Asia-Pacific emerged as the fastest-growing region in the OIS market. Factors such as the increasing prevalence of cancer, awareness related to cancer care, rising healthcare IT investments & supportive government policies are driving the growth of the market. The adoption of OIS is a boon due to the driving initiatives like Healthy China 2030 in China and E-Health initiatives in India. The growth in the region is also attributable to the increasing number of oncology specialty hospitals and the development of AI-based oncology information systems (OIS) solutions. Rapid growth in these countries such as India and Japan due to increasing cancer incidence and government-supported modernization of health care infrastructure.
Key Players
Service Providers / Manufacturers
Elekta AB (MOSAIQ, Monaco)
Siemens Healthineers AG (syngo.via, ARTIS pheno)
Varian Medical Systems (ARIA, Eclipse)
McKesson Corporation (iKnowMed, Lynx Mobile)
Koninklijke Philips N.V. (IntelliSpace Oncology, Pinnacle³)
Cerner Corporation (PowerChart Oncology, Millennium)
IBM Watson Health (Watson for Oncology, Merge RIS)
Epic Systems Corporation (Beacon Oncology, Radiant)
Accuray Incorporated (CyberKnife, TomoTherapy)
RaySearch Laboratories AB (RayStation, RayCare)
Key Users:
Mayo Clinic
Cleveland Clinic
MD Anderson Cancer Center
Memorial Sloan Kettering Cancer Center
Johns Hopkins Hospital
UCLA Medical Center
Massachusetts General Hospital
Stanford Health Care
The University of Texas Southwestern Medical Center
Dana-Farber Cancer Institute
Recent Developments
On 05 February 2025, Elekta AB launched a cloud-based oncology information system enabling seamless integration with hospital networks.
In September 2024, GE Healthcare partnered with leading U.S. hospitals to pilot blockchain-based solutions for secure oncology data sharing.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 3.1 Billion |
| Market Size by 2032 | USD 6.1 Billion |
| CAGR | CAGR of 7.84% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Product (Solutions {Patient Information Systems, Treatment Planning Systems}, Professional Services) • By Application (Medical Oncology, Surgical Oncology, Radiation Oncology) • By End User (Hospitals & Diagnostic Imaging Centers, Government Institutions, Ablation Care Centers and Cancer Care Centers, Research Facilities) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Elekta AB, Siemens Healthineers AG, Varian Medical Systems, McKesson Corporation, Koninklijke Philips N.V., Cerner Corporation, IBM Watson Health, Epic Systems Corporation, Accuray Incorporated, RaySearch Laboratories AB |
Ans. The projected market size for the Oncology Information Systems Market is USD 6.1 billion by 2032.
Ans. The CAGR of the Oncology Information Systems Market is 7.84% During the forecast period of 2024-2032.
Ans. The Hospitals & Diagnostic Imaging Centers End User segment dominated the Oncology Information Systems Market.
Ans. APAC region is growing with a significant growth rate during the forecast period of 2024-2032.
Ans. Yes, you can customize the report as per your requirement.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Incidence and Prevalence of Cancer (2023)
5.2 Adoption Rate of Oncology Information Systems (2023)
5.3 Prescription Trends in Oncology (2023), by Region
5.4 OIS Integration (2020-2023)
5.5 Regulatory Compliance and Data Security in OIS
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Oncology Information Systems Market Segmentation, By Product
7.1 Chapter Overview
7.2 Solutions
7.2.1 Solutions Market Trends Analysis (2020-2032)
7.2.2 Solutions Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 Patient Information Systems
7.2.3.1 Patient Information Systems Market Trends Analysis (2020-2032)
7.2.3.2 Patient Information Systems Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Treatment Planning Systems
7.2.4.1 Treatment Planning Systems Market Trends Analysis (2020-2032)
7.2.4.2 Treatment Planning Systems Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Professional Services
7.3.1 Professional Services Market Trends Analysis (2020-2032)
7.3.2 Professional Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Oncology Information Systems Market Segmentation, By Application
8.1 Chapter Overview
8.2 Medical Oncology
8.2.1 Medical Oncology Market Trends Analysis (2020-2032)
8.2.2 Medical Oncology Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Surgical Oncology
8.3.1 Surgical Oncology Market Trends Analysis (2020-2032)
8.3.2 Surgical Oncology Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Radiation Oncology
8.4.1 Radiation Oncology Market Trends Analysis (2020-2032)
8.4.2 Radiation Oncology Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Oncology Information Systems Market Segmentation, By End User
9.1 Chapter Overview
9.2 Hospitals & Diagnostic Imaging Centers
9.2.1 Hospitals & Diagnostic Imaging Centers Market Trends Analysis (2020-2032)
9.2.2 Hospitals & Diagnostic Imaging Centers Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Government Institutions
9.3.1 Government Institutions Market Trends Analysis (2020-2032)
9.3.2 Government Institutions Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Ablation Care Centers and Cancer Care Centers
9.4.1 Ablation Care Centers and Cancer Care Centers Market Trends Analysis (2020-2032)
9.4.2 Ablation Care Centers and Cancer Care Centers Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Research Facilities
9.5.1 Research Facilities Market Trends Analysis (2020-2032)
9.5.2 Research Facilities Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.2.4 North America Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.5 North America Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.2.6.2 USA Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.6.3 USA Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.2.7.2 Canada Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.7.3 Canada Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.2.8.2 Mexico Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.8.3 Mexico Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.6.2 Poland Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.6.3 Poland Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.7.2 Romania Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.7.3 Romania Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.4 Western Europe Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.5 Western Europe Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.6.2 Germany Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.6.3 Germany Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.7.2 France Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.7.3 France Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.8.2 UK Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.8.3 UK Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.9.2 Italy Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.9.3 Italy Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.10.2 Spain Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.10.3 Spain Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.13.2 Austria Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.13.3 Austria Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.4 Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.5 Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.6.2 China Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.6.3 China Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.7.2 India Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.7.3 India Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.8.2 Japan Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.8.3 Japan Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.9.2 South Korea Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.9.3 South Korea Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.10.2 Vietnam Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.10.3 Vietnam Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.11.2 Singapore Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.11.3 Singapore Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.12.2 Australia Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.12.3 Australia Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.4 Middle East Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.5 Middle East Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.6.2 UAE Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.6.3 UAE Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.2.4 Africa Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.5 Africa Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Oncology Information Systems Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.6.4 Latin America Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.5 Latin America Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.6.6.2 Brazil Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.6.3 Brazil Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.6.7.2 Argentina Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.7.3 Argentina Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.6.8.2 Colombia Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.8.3 Colombia Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Oncology Information Systems Market Estimates and Forecasts, By Product (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Oncology Information Systems Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Oncology Information Systems Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
11. Company Profiles
11.1 Elekta AB
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Siemens Healthineers AG
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Varian Medical Systems
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 McKesson Corporation
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Koninklijke Philips N.V.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Cerner Corporation
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 IBM Watson Health
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Epic Systems Corporation
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Accuray Incorporated
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 RaySearch Laboratories AB.
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Product
Solutions
Patient Information Systems
Treatment Planning Systems
Professional Services
By Application
Medical Oncology
Surgical Oncology
Radiation Oncology
By End User
Hospitals & Diagnostic Imaging Centers
Government Institutions
Ablation Care Centers and Cancer Care Centers
Research Facilities
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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