AI in Oncology Market: Global Industry Analysis and Forecast (2023–2029)

AI in Oncology Market is worth USD 0.76 billion in 2022 and is estimated to grow at a CAGR of 35.4% in the forecasted period. The forecasted revenue hints at a growth of around 6.4 billion USD by 2029. AI in Oncology as a market is huge, if we consider the current scenario, AI is imprinting its footsteps across every field. Initially, AI was used to detect the cancer cells in tissue samples. But, recent advancements in AI in oncology market have made screening, diagnosis, testing, treatment and monitoring very feasible and effective. Technologies like Deep learning, Natural language processing, AI powered Algorithm, Robotics, etc, has changed the entire dimension of oncology and thus, AI in oncology has huge opportunity to completely revolutionize the market. Nearly 55% of the industry is controlled by North America, while Asia is emerging as a global market leader in oncology market. The recent investments, huge awareness and modern technologies indicate a CAGR OF 35.4%, which is hugely indicating the growth potential and future scope of AI in Oncology market.AI in Oncology MarketTo know about the Research Methodology :- Request Free Sample Report

AI in Oncology Market Dynamics

Growth Drivers of AI in Oncology Market The key drivers for growth are advances in technology which has directly simplified and streamlined many complex processes in the Oncology market. With the advent of digital information, AI has showed promise across all cancer research areas. With the increasing expansion of data sets, molecular-level tumour information from cancer patients can be easily obtained. AI also has made analysing medical images, such as X-rays, CT scans, and MRIs simpler and more accurate. Risk mitigation, Drug testing, Analysis of current and future status of a patient, all has been possible as AI in oncology market has fared well. Also, treatments regarding each patient can be well directed and specialized increasing the chances of cure through such modified treatments. Another driving factor in AI in Oncology market is the use of Machine Learning. These technologies have enhanced robotics in oncology market. Robots can identify data from enormous dataset and recognize specific patterns. This has allowed the creation of advanced robots that can do complicated jobs, which mitigates the risk quotient to a significant limit. Robots can also learn, forecast, and optimise using the data allowing predictive maintenance and quality control. Example – Illumina released Connected Insights to enable tertiary analysis for oncology and uncommon disorders. Challenges of AI in Oncology market The major challenge in front of the AI in oncology market is regarding the use of such technologies. The intention behind the use can make the technology regressive or progressive. One such example is of IBM's Watson Oncology, where the AI module was showing non-specific results. Also, cases of failure in deep learning algorithms which misjudged the cancer cells and showed less accurate results has occurred in the past. The data required for these models to function is huge, especially if we talk about more common types of cancers, the dataset becomes huge to analyse. Also, the cost to collect, manage, analyse and derive the data is huge. Another challenge arises when the cancer is of rare type, where on the basis of insufficient data, the model fails to develop a proper treatment. The use of robotics is also questionable especially during direct interference between treatments. The issue of safety, accountability and approval are major challenges of AI in oncology market. Hacking AI systems could provide unauthorised access to patient data or diagnostic outcomes. Thus, tampering with such technologies can be easily possible which can endanger the patient’s life Trends in AI in Oncology market The field itself is relatively new and has huge scope in future. AI in oncology market can help with early detection by analysing a patient's medical history and test results to identify patterns that may indicate the presence of cancer. As new drugs are being discovered to cure cancer patients, AI can have a huge role in it. Right from formulation to testing, AI, Robotics, algorithms can play a crucial role in future. Also, AI in oncology market has offered specialists, a more detailed overview, which would eventually make the process even simpler in future. Also, with the advent of AI in oncology market, the implementation of radiation therapy on cancerous cells have changed. Use of AI in radiation therapy has been a huge future implementation of the technology. It can also enhance the quality of radiation therapy by identifying and correcting errors in treatment plans, streamlining the process and making it more efficient

AI in Oncology Market Segment Analysis

Based on Cancer Type, Breast Cancer is the most common type of cancer and accounts for nearly 41% of this segment in AI in Oncology market. Cervical cancer has the highest CAGR amongst the five and is expected to grow in the forecasted period. Prostate Cancer and Lung Cancer share nearly equal AI in Oncology market share. Early diagnosis helps in Precise oncology medicines and thus identification is very important. Colorectal cancer has least market amongst all the five types.AI in Oncology Market1Based on Components, Software solutions for oncological product optimisation dominated the AI in Oncology market in 2022 with 44% share and are expected to grow the quickest over the forecast period. The software simplifies reporting and interpretation from several assay types. The programme also improves workflow. Hardware and Services also have nearly equal share, but does not exceed software’s market share.AI in Oncology Market2Based on End User, Hospitals, Pharma Companies and Research are the three segments of AI in oncology market. Hospitals dominate the market share by nearly 60% as hospitals play a crucial role not just in treatments but also in various diagnostics and other applications. Research market for the technology is a newer segment which would take time to fully develop yet has significant share in the market. Based on Treatment, Chemotherapy, Radiotherapy, Immunotherapy are the three segments which can be classified upon its treatment in AI in oncology market. Chemotherapy held the highest market share at 40% in 2022. Chemotherapy is used to treat cancer, and is one of the most common treatments used in cancer treatment. AI integration in chemotherapy treatment helps doctors create a personalised digital profile of patients to modify their dose. AI-chemotherapy research boosts segment growth. AI-tailored chemotherapy with reduced dosage and negative effects boosts chemotherapy acceptance. Immunotherapy is projected to increase the fastest due to clinical trials demonstrating excellent efficacy. Radiotherapy has a significant percentage of market share owing to its use in various cancer treatments.AI in Oncology Market3

AI in Oncology Market Regional Insights

Global The AI in Oncology market is huge, especially in today’s current scenario where technology has showed its power. The AI in Oncology market is on the verge of becoming the next crucial thing in oncology market. The reason has been technological advancements, huge investments and progressive research into this field. US has been leading the market and has 55% of market share. Asia Pacific is one of the fastest growing markets along with Israel which has established many companies like Ibex Medical Analytics, Nanox, etc helping its share increase in AI in Oncology market. North America enjoys the highest share of the market, which mainly consist of USA. The strong market presence of key players like Intel Corporation, GE Healthcare has made it sure that the market leader remains constant. The region has advanced laboratory facilities, cutting-edge technologies, and a strong ecosystem of clinicians, researchers, and industry players. Its application use has been one of the best which has helped them sustain the market force. The pre requisite of AI in Oncology market is huge, which makes it possible only for developed and developing countries to proceed in this industry. Canada and Mexico have smaller market share as compared to US but are emerging markets in AI in Oncology industry. Asia Pacific has been a growing market, especially after huge investments into the AI in Oncology market. China, Japan, India have emerged as leaders in the market. According to the World Health Organization, China had an estimated 3.9 million new cancer cases and 2.3 million cancer deaths in 2020. Thus, China has huge market share of the AI in Oncology industry. The technological prowess which China has, offers more opportunities for China to develop into this market. With India, companies like IBM, Microsoft, Google, NVIDIA, and Amazon Web Services are working on improving research and increase the efficiency. Increase in population and increase in patients both have made sure that the AI in Oncology market increase in Asia Pacific. Europe is the 2nd largest market of AI in Oncology market. Europe's top research institutions, universities, and hospitals are creating AI-based cancer diagnostic, treatment, and patient care solutions. National healthcare systems in countries like the United Kingdom, Germany, France, and the European countries have allocated funds and resources to promote AI adoption in oncology. The availability of electronic health records and large healthcare databases allows for the utilization of AI algorithms in analysing patient data and developing predictive models for cancer diagnosis and treatment. Companies like Siemens Healthcare GmbH, Sophia Genetics have helped Europe hold on its present and future market share. MEA has not seen much of a development into the AI in oncology market, but has huge potential in future. Investments into research and adoption of AI has been facilitated by many countries in Middle East and Africa. Saudi Arabia has started many projects and initiatives like KACST - a government-funded research organization that is working to develop AI-based solutions for cancer diagnosis and treatment. Also, collaborations and partnerships have helped Saudi Arabia to gain some market share. The Saudi government has partnered with the United States National Cancer Institute (NCI) to develop an AI-based system for early detection of cancer. Thus, the AI in Oncology market has huge potential but needs to be backed up by right development in research and infrastructure. The South American market is an emerging industry in AI and Oncology. Several research institutions and universities in South America are actively engaged in AI research for cancer treatment. Brazil has well developed infrastructure but the disparity between south American countries is a major reason for hinderance in its progress. Governments has been spending on research and adoption of AI LIKE FINEP is managed by Brazilian government, MinTIC is funded by Columbian government, FONDEF is funded by Chile government. Thus, such investments have made a difference but a lot of it is required to gain a larger share of AI in Oncology market.

AI in Oncology Market Competitive Landscape

AI in Oncology Market4The AI in Oncology market has drawn huge attention from many companies who are willing to invest into these technologies and reap its benefits through its applications. The market has low entry barriers but a lot of financial backing is required to actually scale the product. Many big companies like IBM, Siemens, GE Healthcare have raised huge funds to cater to this dynamic market. AI in Oncology market is dominated by US. Nearly 55% of the market is held by North American companies. Apart from US, Europe has been the 2nd largest market. Germany is the leading country in AI in Oncology market in Europe. Along with Germany, UK and France have also showcased a significant growth in the market. Acquisitions has been common in the industry and one such example is of Merck which acquired Pandion Data to use AI-based solutions and improve the accuracy and efficiency of cancer diagnosis and treatment. Asia Pacific is shown the highest growth in the forecasted period.

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AI in Oncology Market
Report Coverage Details
Base Year: 2022 Forecast Period: 2023-2029
Historical Data: 2017 to 2022 Market Size in 2022: US $ 0.76 Bn.
Forecast Period 2023 to 2029 CAGR: 35.4% Market Size in 2029: US $ 6.4 Bn.
Segments Covered: by Treatment 1.Chemotherapy 2.Radiotherapy 3.Immunotherapy
by Components 1.Software Solutions 2.Hardware 3.Services
by Cancer Types 1.Breast Cancer 2.Lung Cancer 3.Cervical cancer 4.Colorectal Cancer 5.Prostate Cancer
by End-User 1.Pharmaceutical & Biotechnology Companies 2. Hospitals 3.Researchers

AI in Oncology Market, by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina Rest of South America)

AI in Oncology Market Key Players

The players mentioned are top companies working on AI in Oncology. All these companies have shown tremendous strategy and have huge potential to maximize the potential of AI in Oncology Market. 1. IBM - (United States) 2. Siemens Healthcare GmbH - (Germany) 3. Intel Corporation – (United States) 4. Hampton Research (USA) 5. Azra AI –(USA) 6. GE Healthcare – (USA) 7. NVIDIA Corporation – (USA) 8. Digital Diagnostics Inc – (USA) 9. ConcertAI – (USA) 10. PathAI (USA) 11. Tempus – (USA) 12. Paige – (USA) 13. Prognos – (USA) 14. Deep 6 AI – (USA) 15. Proscia – (USA) 16. Inspirata – (USA) 17. Enlitic – (USA) 18. DeepMind – (United Kingdom) 19. Sophia Genetics – (Switzerland) 20. Nanox – (Israel) 21. Ibex Medical Analytics – (Israel) 22. Aidoc – (Israel) 23. Zebra Medical Vision – (Israel) 24. Quantib – (Netherlands) 25. Kheiron Medical Technologies – (United Kingdom) 26. Qure.ai – (India) FAQ Q.1) What is the CAGR of AI in Oncology market? Ans: The CAGR for AI in Oncology market is 35.4% Q.2) Which are the leading companies in AI in Oncology market? Ans: IBM & Merck are some of the leading companies in the AI in Oncology market Q.3) Which region shows maximum potential in AI in Oncology market Ans: Asia Pacific is expected to grow exponentially and is likely to dominate AI in Oncology market in future Q,4) Which is the leading region in AI in Oncology market? Ans: North America leads the market of AI in Oncology market significantly Q.5) What was the forecasted period of this report? Ans: The forecasted period for the AI in Oncology market research was 2023 – 2029
1. AI in Oncology Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. AI in Oncology Market: Dynamics 2.1. AI in Oncology Market Trends by Region 2.1.1. North America AI in Oncology Market Trends 2.1.2. Europe AI in Oncology Market Trends 2.1.3. Asia Pacific AI in Oncology Market Trends 2.1.4. Middle East and Africa AI in Oncology Market Trends 2.1.5. South America AI in Oncology Market Trends 2.2. AI in Oncology Market Dynamics by Region 2.2.1. North America 2.2.1.1. North America AI in Oncology Market Drivers 2.2.1.2. North America AI in Oncology Market Restraints 2.2.1.3. North America AI in Oncology Market Opportunities 2.2.1.4. North America AI in Oncology Market Challenges 2.2.2. Europe 2.2.2.1. Europe AI in Oncology Market Drivers 2.2.2.2. Europe AI in Oncology Market Restraints 2.2.2.3. Europe AI in Oncology Market Opportunities 2.2.2.4. Europe AI in Oncology Market Challenges 2.2.3. Asia Pacific 2.2.3.1. Asia Pacific AI in Oncology Market Drivers 2.2.3.2. Asia Pacific AI in Oncology Market Restraints 2.2.3.3. Asia Pacific AI in Oncology Market Opportunities 2.2.3.4. Asia Pacific AI in Oncology Market Challenges 2.2.4. Middle East and Africa 2.2.4.1. Middle East and Africa AI in Oncology Market Drivers 2.2.4.2. Middle East and Africa AI in Oncology Market Restraints 2.2.4.3. Middle East and Africa AI in Oncology Market Opportunities 2.2.4.4. Middle East and Africa AI in Oncology Market Challenges 2.2.5. South America 2.2.5.1. South America AI in Oncology Market Drivers 2.2.5.2. South America AI in Oncology Market Restraints 2.2.5.3. South America AI in Oncology Market Opportunities 2.2.5.4. South America AI in Oncology Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap 2.6. Regulatory Landscape by Region 2.6.1. North America 2.6.2. Europe 2.6.3. Asia Pacific 2.6.4. Middle East and Africa 2.6.5. South America 2.7. Key Opinion Leader Analysis For AI in Oncology Industry 2.8. Analysis of Government Schemes and Initiatives For AI in Oncology Industry 2.9. AI in Oncology Market Trade Analysis 2.10. The Global Pandemic Impact on AI in Oncology Market 3. AI in Oncology Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2022-2029 3.1. AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 3.1.1. Chemotherapy 3.1.2. Radiotherapy 3.1.3. Immunotherapy 3.2. AI in Oncology Market Size and Forecast, by Components (2022-2029) 3.2.1. Software Solutions 3.2.2. Hardware 3.2.3. Services 3.3. AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 3.3.1. Breast Cancer 3.3.2. Lung Cancer 3.3.3. Cervical cancer 3.3.4. Colorectal Cancer 3.3.5. Prostate Cancer 3.4. AI in Oncology Market Size and Forecast, by End-User (2022-2029) 3.4.1. Pharmaceutical & Biotechnology Companies 3.4.2. Hospitals 3.4.3. Researchers 3.5. AI in Oncology Market Size and Forecast, by Region (2022-2029) 3.5.1. North America 3.5.2. Europe 3.5.3. Asia Pacific 3.5.4. Middle East and Africa 3.5.5. South America 4. North America AI in Oncology Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 4.1. North America AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 4.1.1. Chemotherapy 4.1.2. Radiotherapy 4.1.3. Immunotherapy 4.2. North America AI in Oncology Market Size and Forecast, by Components (2022-2029) 4.2.1. Software Solutions 4.2.2. Hardware 4.2.3. Services 4.3. North America AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 4.3.1. Breast Cancer 4.3.2. Lung Cancer 4.3.3. Cervical cancer 4.3.4. Colorectal Cancer 4.3.5. Prostate Cancer 4.4. North America AI in Oncology Market Size and Forecast, by End-User (2022-2029) 4.4.1. Pharmaceutical & Biotechnology Companies 4.4.2. Hospitals 4.4.3. Researchers 4.7. North America AI in Oncology Market Size and Forecast, by Country (2022-2029) 4.5.1. United States 4.5.1.1. United States AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 4.5.1.1.1. Chemotherapy 4.5.1.1.2. Radiotherapy 4.5.1.1.3. Immunotherapy 4.5.1.2. United States AI in Oncology Market Size and Forecast, by Components (2022-2029) 4.5.1.2.1. Software Solutions 4.5.1.2.2. Hardware 4.5.1.2.3. Services 4.5.1.3. United States AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 4.5.1.3.1. Breast Cancer 4.5.1.3.2. Lung Cancer 4.5.1.3.3. Cervical cancer 4.5.1.3.4. Colorectal Cancer 4.5.1.3.5. Prostate Cancer 4.5.1.4. United States AI in Oncology Market Size and Forecast, by End-User (2022-2029) 4.5.1.4.1. Pharmaceutical & Biotechnology Companies 4.5.1.4.2. Hospitals 4.5.1.4.3. Researchers 4.5.2. Canada 4.5.2.1. Canada AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 4.5.2.1.1. Chemotherapy 4.5.2.1.2. Radiotherapy 4.5.2.1.3. Immunotherapy 4.5.2.2. Canada AI in Oncology Market Size and Forecast, by Components (2022-2029) 4.5.2.2.1. Software Solutions 4.5.2.2.2. Hardware 4.5.2.2.3. Services 4.5.2.3. Canada AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 4.5.2.3.1. Breast Cancer 4.5.2.3.2. Lung Cancer 4.5.2.3.3. Cervical cancer 4.5.2.3.4. Colorectal Cancer 4.5.2.3.5. Prostate Cancer 4.5.2.4. Canada AI in Oncology Market Size and Forecast, by End-User (2022-2029) 4.5.2.4.1. Pharmaceutical & Biotechnology Companies 4.5.2.4.2. Hospitals 4.5.2.4.3. Researchers 4.5.3. Mexico 4.5.3.1. Mexico AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 4.5.3.1.1. Chemotherapy 4.5.3.1.2. Radiotherapy 4.5.3.1.3. Immunotherapy 4.5.3.2. Mexico AI in Oncology Market Size and Forecast, by Components (2022-2029) 4.5.3.2.1. Software Solutions 4.5.3.2.2. Hardware 4.5.3.2.3. Services 4.5.3.3. Mexico AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 4.5.3.3.1. Breast Cancer 4.5.3.3.2. Lung Cancer 4.5.3.3.3. Cervical cancer 4.5.3.3.4. Colorectal Cancer 4.5.3.3.5. Prostate Cancer 4.5.3.4. Mexico AI in Oncology Market Size and Forecast, by End-User (2022-2029) 4.5.3.4.1. Pharmaceutical & Biotechnology Companies 4.5.3.4.2. Hospitals 4.5.3.4.3. Researchers 5. Europe AI in Oncology Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 5.1. Europe AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.2. Europe AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.3. Europe AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.4. Europe AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5. Europe AI in Oncology Market Size and Forecast, by Country (2022-2029) 5.5.1. United Kingdom 5.5.1.1. United Kingdom AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.1.2. United Kingdom AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.1.3. United Kingdom AI in Oncology Market Size and Forecast, by Cancer Types(2022-2029) 5.5.1.4. United Kingdom AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.2. France 5.5.2.1. France AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.2.2. France AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.2.3. France AI in Oncology Market Size and Forecast, by Cancer Types(2022-2029) 5.5.2.4. France AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.3. Germany 5.5.3.1. Germany AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.3.2. Germany AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.3.3. Germany AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.5.3.4. Germany AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.4. Italy 5.5.4.1. Italy AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.4.2. Italy AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.4.3. Italy AI in Oncology Market Size and Forecast, by Cancer Types(2022-2029) 5.5.4.4. Italy AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.5. Spain 5.5.5.1. Spain AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.5.2. Spain AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.5.3. Spain AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.5.5.4. Spain AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.6. Sweden 5.5.6.1. Sweden AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.6.2. Sweden AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.6.3. Sweden AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.5.6.4. Sweden AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.7. Austria 5.5.7.1. Austria AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.7.2. Austria AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.7.3. Austria AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.5.7.4. Austria AI in Oncology Market Size and Forecast, by End-User (2022-2029) 5.5.8. Rest of Europe 5.5.8.1. Rest of Europe AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 5.5.8.2. Rest of Europe AI in Oncology Market Size and Forecast, by Components (2022-2029) 5.5.8.3. Rest of Europe AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 5.5.8.4. Rest of Europe AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6. Asia Pacific AI in Oncology Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 6.1. Asia Pacific AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.2. Asia Pacific AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.3. Asia Pacific AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.4. Asia Pacific AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5. Asia Pacific AI in Oncology Market Size and Forecast, by Country (2022-2029) 6.7.1. China 6.5.1.1. China AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.1.2. China AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.1.3. China AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.1.4. China AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.2. S Korea 6.5.2.1. S Korea AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.2.2. S Korea AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.2.3. S Korea AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.2.4. S Korea AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.3. Japan 6.5.3.1. Japan AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.3.2. Japan AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.3.3. Japan AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.3.4. Japan AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.4. India 6.5.4.1. India AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.4.2. India AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.4.3. India AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.4.4. India AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.5. Australia 6.5.5.1. Australia AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.5.2. Australia AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.5.3. Australia AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.5.4. Australia AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.6. Indonesia 6.5.6.1. Indonesia AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.6.2. Indonesia AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.6.3. Indonesia AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.6.4. Indonesia AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.7. Malaysia 6.5.7.1. Malaysia AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.7.2. Malaysia AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.7.3. Malaysia AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.7.4. Malaysia AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.8. Vietnam 6.5.8.1. Vietnam AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.8.2. Vietnam AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.8.3. Vietnam AI in Oncology Market Size and Forecast, by Cancer Types(2022-2029) 6.5.8.4. Vietnam AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.9. Taiwan 6.5.9.1. Taiwan AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.9.2. Taiwan AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.9.3. Taiwan AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.9.4. Taiwan AI in Oncology Market Size and Forecast, by End-User (2022-2029) 6.5.10. Rest of Asia Pacific 6.5.10.1. Rest of Asia Pacific AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 6.5.10.2. Rest of Asia Pacific AI in Oncology Market Size and Forecast, by Components (2022-2029) 6.5.10.3. Rest of Asia Pacific AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 6.5.10.4. Rest of Asia Pacific AI in Oncology Market Size and Forecast, by End-User (2022-2029) 7. Middle East and Africa AI in Oncology Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 7.1. Middle East and Africa AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 7.2. Middle East and Africa AI in Oncology Market Size and Forecast, by Components (2022-2029) 7.3. Middle East and Africa AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 7.4. Middle East and Africa AI in Oncology Market Size and Forecast, by End-User (2022-2029) 7.5. Middle East and Africa AI in Oncology Market Size and Forecast, by Country (2022-2029) 7.5.1. South Africa 7.5.1.1. South Africa AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 7.5.1.2. South Africa AI in Oncology Market Size and Forecast, by Components (2022-2029) 7.5.1.3. South Africa AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 7.5.1.4. South Africa AI in Oncology Market Size and Forecast, by End-User (2022-2029) 7.5.2. GCC 7.5.2.1. GCC AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 7.5.2.2. GCC AI in Oncology Market Size and Forecast, by Components (2022-2029) 7.5.2.3. GCC AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 7.5.2.4. GCC AI in Oncology Market Size and Forecast, by End-User (2022-2029) 7.5.3. Nigeria 7.5.3.1. Nigeria AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 7.5.3.2. Nigeria AI in Oncology Market Size and Forecast, by Components (2022-2029) 7.5.3.3. Nigeria AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 7.5.3.4. Nigeria AI in Oncology Market Size and Forecast, by End-User (2022-2029) 7.5.4. Rest of ME&A 7.5.4.1. Rest of ME&A AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 7.5.4.2. Rest of ME&A AI in Oncology Market Size and Forecast, by Components (2022-2029) 7.5.4.3. Rest of ME&A AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 7.5.4.4. Rest of ME&A AI in Oncology Market Size and Forecast, by End-User (2022-2029) 8. South America AI in Oncology Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 8.1. South America AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 8.2. South America AI in Oncology Market Size and Forecast, by Components (2022-2029) 8.3. South America AI in Oncology Market Size and Forecast, by Cancer Types(2022-2029) 8.4. South America AI in Oncology Market Size and Forecast, by End-User (2022-2029) 8.5. South America AI in Oncology Market Size and Forecast, by Country (2022-2029) 8.5.1. Brazil 8.5.1.1. Brazil AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 8.5.1.2. Brazil AI in Oncology Market Size and Forecast, by Components (2022-2029) 8.5.1.3. Brazil AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 8.5.1.4. Brazil AI in Oncology Market Size and Forecast, by End-User (2022-2029) 8.5.2. Argentina 8.5.2.1. Argentina AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 8.5.2.2. Argentina AI in Oncology Market Size and Forecast, by Components (2022-2029) 8.5.2.3. Argentina AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 8.5.2.4. Argentina AI in Oncology Market Size and Forecast, by End-User (2022-2029) 8.5.3. Rest Of South America 8.5.3.1. Rest Of South America AI in Oncology Market Size and Forecast, by Treatment (2022-2029) 8.5.3.2. Rest Of South America AI in Oncology Market Size and Forecast, by Components (2022-2029) 8.5.3.3. Rest Of South America AI in Oncology Market Size and Forecast, by Cancer Types (2022-2029) 8.5.3.4. Rest Of South America AI in Oncology Market Size and Forecast, by End-User (2022-2029) 9. Global AI in Oncology Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading AI in Oncology Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. IBM - (United States) 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Scale of Operation (small, medium, and large) 10.1.7. Details on Partnership 10.1.8. Regulatory Accreditations and Certifications Received by Them 10.1.9. Awards Received by the Firm 10.1.10. Recent Developments 10.2. Siemens Healthcare GmbH - (Germany) 10.3. Intel Corporation – (United States) 10.4. Hampton Research (USA) 10.5. Azra AI –(USA) 10.6. GE Healthcare – (USA) 10.7. NVIDIA Corporation – (USA) 10.8. Digital Diagnostics Inc – (USA) 10.9. ConcertAI – (USA) 10.10. PathAI (USA) 10.11. Tempus – (USA) 10.12. Paige – (USA) 10.13. Prognos – (USA) 10.14. Deep 6 AI – (USA) 10.15. Proscia – (USA) 10.16. Inspirata – (USA) 10.17. Enlitic – (USA) 10.18. DeepMind – (United Kingdom) 10.19. Sophia Genetics – (Switzerland) 10.20. Nanox – (Israel) 10.21. Ibex Medical Analytics – (Israel) 10.22. Aidoc – (Israel) 10.23. Zebra Medical Vision – (Israel) 10.24. Quantib – (Netherlands) 10.25. Kheiron Medical Technologies – (United Kingdom) 10.26. Qure.ai – (India) 11. Key Findings 12. Industry Recommendations 13. AI in Oncology Market: Research Methodology 14. Terms and Glossary

About This Report

Report ID 189655
Category Information Technology & Telecommunication
Published Date May 2023
Updated Date
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