Global Artificial Intelligence in Cancer Diagnosis and Therapy Market

Report ID : 1294 | Published : 2022-08-25 | Pages: 160 | Format: PDF/EXCEL

The market size of the global artificial intelligence in cancer diagnosis and therapy market in the year 2021 is valued at 548.11 million and is predicted to reach 5.62 billion by the year 2030 at an 30.1% CAGR during the forecast period.The realm of health is just one of many areas of human life where artificial intelligence (AI) has made its way. Detecting cancer may provide the most complex and selfless task for AI in the field of medicine. AI would be beneficial in dealing with the tiresome, repetitive, and time-consuming task of lesion detection, eliminating the potential for human error, and reducing expenses and time. The significance of this would be enormous for cancer screening programmes. AI systems can identify information from digital images from radiology and pathology that is invisible to the human eye (radiomics and pathomics). A better knowledge of malignancies will result from the correlation of radiomics and patronymics with clinico-demographic-therapy-morbidity-mortality profiles. It has been discovered that particular imaging abnormalities are linked to particular gene-determined molecular pathways implicated in cancer aetiology (radiogenomics). All of these advancements would contribute to the personalization of oncologic care as well as the creation of new imaging biomarkers. Cancer screening (identification of lesions), classification and grading of tumours, clinical decision-making, and prognostication are the main uses of AI algorithms in oncoimaging and oncopathology. AI cannot, however, be a failsafe panacea or take the place of humans in all situations.

Market Segmentation:

The Artificial Intelligence in Cancer Diagnosis and Therapy market is segmented on the basis of surgery type, cancer type, and end-use. Based on surgery type, the market is segmented as Radiotherapy, Chemotherapy, Immunotherapy, Precision Therapy, Phototherapy, Gene Therapy, and Sonodynamic Therapy. By cancer type, the market is segmented into Breast Cancer, Lung Cancer, Melanoma Cancer, Colorectal Cancer, Prostate Cancer, and Others. By end-use, the market is segmented into Hospitals, Cancer Research Centre, and Diagnostic Labs.

Based on surgery type, the immunotherapy segment is accounted as a major contributor in the artificial intelligence in cancer diagnosis and therapy market.

In 2021, the immunotherapy market accounted for a sizeable portion of total revenue. A key development in the fight against cancer is immunotherapy. Additionally, the integration of AI improves the likelihood that cancer immunotherapy will be effective by forecasting therapeutic impact based on the development of immunotherapy prediction scores like Immunocore and immunophenoscore. In order to forecast how patients would react to Immune Checkpoint Blockade (ICB) medications, these two grading systems were created. For cancer subtypes that are indistinguishable, combining AI-based diagnostic algorithms with clinical interpretations may improve diagnostic precision. The accuracy of AI technology in identifying Major Histocompatibility Complex (MHC) patterns linked to immunotherapy response is 91.66 %. Importantly, AI may be used to standardize exams across institutions, as opposed to relying on doctors' frequently arbitrary interpretations.

Prostate Cancer segment witnessed growth at a rapid rate

In 2021, the prostate cancer market contributed a modest portion of total revenue. The most prevalent non-skin cancer in men and the second greatest cause of cancer-related death is prostate cancer. Additionally, it is projected that this illness will have a lifetime impact on one in six American boys. Healthcare-related AI and machine learning are two newly emerging research areas that have recently received a lot of attention. In addition, artificial neural networks, which employ statistical models partly based on and inspired by organic brain networks, are frequently used in AI. They have the capacity to simultaneously represent and understand nonlinear interactions between inputs and outputs. Overall, it has been demonstrated that the use of AI in prostate cancer has been beneficial in assisting standardized pathological grading in evaluating the classification and treatment of prostate cancer. Additionally, using image-based activities like histopathology, MRI, and biomarker identification, AI has the capacity to automate the characterization and severity evaluation of prostate cancer.

In the region, the North American artificial intelligence in the cancer diagnosis and therapy market holds a significant revenue share.

The market for AI in cancer diagnostics grew significantly in line with North America's growing preference for AI technology in the healthcare industry. The majority of newly established businesses in the same market have a respectable foothold in the area. Within minutes, a Microsoft system's Inner Eyes showed conclusive evidence of imaging and analyzing prostate cancer. In the market for cancer diagnostics as well, North America is anticipated to dominate. In Canada, 45 % of men and 43 % of women will develop cancer during their lifetimes, according to Canadian Cancer Statistics. However, the nation is actively implementing AI across the healthcare sector to fight this issue.

Competitive Landscape

The key players in the artificial intelligence in the cancer diagnosis and therapy market have shifted their focus toward bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and joint ventures of major and domestic players to enhance product portfolios and strengthen their market footprint across the globe. Some of the major key players in the Artificial Intelligence in Cancer Diagnosis and Therapy market are Roche Diagnostics, Pfizer Inc., IBM Watson Health, CancerCenter.AI, GE Healthcare, Concert AI, Berg, Path AI, Therapixel, iCAD, Sophia Genetics, Janssen Global Services, LLC, JLK Inspection, Median Technologies, Microsoft, Oracle, OhioHealth, Ancora Medical, and Other Prominent Players

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence in Cancer Diagnosis and Surgery Type Market Snapshot

Chapter 4. Global Artificial Intelligence in Cancer Diagnosis and Surgery Type Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Surgery Type Estimates & Trend Analysis

5.1. By Surgery Type & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Surgery Type:

5.2.1. Radiotherapy

5.2.2. Chemotherapy

5.2.3. Immunotherapy

5.2.4. Precision Therapy

5.2.5. Phototherapy

5.2.6. Gene Therapy

5.2.7. Sonodynamic Therapy

Chapter 6. Market Segmentation 2: By Cancer Type Estimates & Trend Analysis

6.1. By Cancer Type & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Cancer Type:

6.2.1. Breast Cancer

6.2.2. Lung Cancer

6.2.3. Melanoma Cancer

6.2.4. Colorectal Cancer

6.2.5. Prostate Cancer

6.2.6. Others

Chapter 7. Market Segmentation 3: By End-use Estimates & Trend Analysis

7.1. By End-use & Market Share, 2020 & 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By End-use:

7.2.1. Hospitals

7.2.2. Cancer Research Center

7.2.3. Diagnostic Labs

Chapter 8. Artificial Intelligence in Cancer Diagnosis and Surgery Type Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts By Surgery Type, 2020-2030

8.1.2. North America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts By Cancer Type, 2020-2030

8.1.3. North America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by End-use, 2020-2030

8.1.4. North America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

8.2. Europe

8.2.1. Europe Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Surgery Type, 2020-2030

8.2.2. Europe Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Cancer Type, 2020-2030

8.2.3. Europe Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by End-use, 2020-2030

8.2.4. Europe Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) by country, 2020-2030

8.3. Asia Pacific

8.3.1. Asia Pacific Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Surgery Type, 2020-2030

8.3.2. Asia Pacific Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Cancer Type, 2020-2030

8.3.3. Asia Pacific Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by End-use, 2020-2030

8.3.4. Asia Pacific Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) by country, 2020-2030

8.4. Latin America

8.4.1. Latin America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Surgery Type, (US$ Million)

8.4.2. Latin America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Cancer Type, (US$ Million)

8.4.3. Latin America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by End-use, 2020-2030

8.4.4. Latin America Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) by country, 2020-2030

8.5. Middle East & Africa

8.5.1. Middle East & Africa Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Surgery Type, (US$ Million)

8.5.2. Middle East & Africa Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) By Cancer Type, (US$ Million)

8.5.3. Middle East & Africa Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) estimates and forecasts by End-use, 2020-2030

8.5.4. Middle East & Africa Artificial Intelligence in Cancer Diagnosis and Surgery Type Market revenue (US$ Million) by country, 2020-2030

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1.  Roche Diagnostics

9.2.2. Pfizer Inc.

9.2.3. IBM Watson Health

9.2.4. CancerCenter.AI

9.2.5. GE Healthcare

9.2.6. Concert AI

9.2.7. Berg

9.2.8. Path AI

9.2.9. Therapixel

9.2.10. iCAD

9.2.11. Sophia Genetics

9.2.12. Janssen Global Services, LLC

9.2.13. JLK Inspection

9.2.14. Median Technologies

9.2.15. Microsoft

9.2.16. Oracle

9.2.17. OhioHealth

9.2.18. Ancora Medical

9.2.19. Other Prominent Players

Segmentation of Artificial Intelligence in Cancer Diagnosis and Therapy Market-

By Surgery Type-

  • Radiotherapy
  • Chemotherapy
  • Immunotherapy
  • Precision Therapy
  • Phototherapy
  • Gene Therapy
  • Sonodynamic Therapy

By Cancer Type-

  • Breast Cancer
  • Lung Cancer
  • Melanoma Cancer
  • Colorectal Cancer
  • Prostate Cancer
  • Others

By End-Use-

  • Hospitals
  • Cancer Research Center
  • Diagnostic Labs

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa

Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Market in the year 2021 is valued at 548.11 million

5.62 billion by the year 2030 at an 30.1% CAGR during the forecast period.

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