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Global AI In Oncology for Analytical Solutions Market Size study & Forecast, by Component by Cancer Type and Regional Analysis, 2022-2029

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ksm 23.05.24

Global AI In Oncology for Analytical Solutions Market is valued at approximately USD 451.99 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 35.50% over the forecast period 2022-2029. The use of AI in cancer practice offers to supply clinical decision support majorly for processing medical data for cancer detection, cancer diagnosis and screening, or characterization of patient prognosis, and optimizing care delivery and clinical operations. The rising incidence of cancer is driving the industry. This is because the number of instances around the world is increasing quickly. The major driving factor for the market the is rising prevalence of cancer, the growing demand for telemedicine and remote care. Moreover, advancements in AI in oncology for analytical solutions, the adoption of AI for disease diagnosis is creating a lucrative growth opportunity for the market over the forecast period 2022-2029.

Cancer is a major cause of death worldwide, and according to the WHO, it was responsible for roughly 10 million deaths in 2020 alone, or nearly one-sixth of all deaths. The World Health Organization added that factors like tobacco use, alcohol consumption, a high body mass index, and a lack of physical exercise can cause cancer. Furthermore, individuals with lung cancer have a higher chance of contracting COVID-19. Among the causes of death mentioned in the National Vital Statistics System of the Centers for Disease Control and Prevention between January 1, 2018, and July 2, 2022, was cancer, according to a report released in December 2022. According to the data examined, there were approximately 13,000 cancer-related deaths reported weekly on average, with this illness being the primary cause in 90% of cases in 2018 and 2019, 88% of cases in 2020, and 87% of cases in 2021. However, in these difficult situations, contemporary AI and ML technologies have the potential to improve patient diagnosis, care, and treatment. The backlog of cancer imaging during the pandemic was addressed with artificial intelligence, which decreased the burden on the medical staff. However, the high cost of AI In Oncology For Analytical Solutions stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global AI In Oncology for Analytical Solutions Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2021, North America controlled the industry with a share. The expansion is ascribed to elements such as the availability of digital infrastructure and supportive governmental policies. Oncology services are anticipated to become more popular in the area as a result of increased government reimbursements. Asia Pacific is anticipated to experience the fastest increase between 2023 and 2030. Several factors, including the rising elderly population in nations such as India and Japan and the expanding use of digital technologies in hospitals and diagnostic centers, can be credited for this development.

Major market player included in this report are:

  • Azra AI
  • International Business Machines Corporation
  • Siemens Healthineers
  • Intel Corporation
  • GE Healthcare
  • NVIDIA Corporation
  • Digital Diagnostics Inc.
  • Concert.AI
  • Median Technologies
  • Path AI

Recent Developments in the Market:

  • A group of scientists from the National Institutes of Health and Global Good created a machine learning algorithm that can analyze digital pictures of the cervix in women in 2019.
  • The GI GeniusTM intelligent endoscopy module, which is driven by AI and aids healthcare professionals in the detection of colorectal cancer by improving visualization during colonoscopy, was introduced by Medtronic plc in August 2022 in India.

Global AI In Oncology for Analytical Solutions Market Report Scope:

  • Historical Data 2019-2020-2021
  • Base Year for Estimation 2021
  • Forecast period 2022-2029
  • Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered Component, Cancer Type, Region
  • Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
  • Customization Scope Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Component offerings of key players. The detailed segments and sub-segment of the market are explained below.

By Component:

  • Data Licensing Services
  • Software Solutions
  • Analytics and Other Services

By Cancer Type:

  • Breast Cancer
  • Lung Cancer
  • Prostate Cancer
  • Colorectal Cancer
  • Brain Tumor
  • Kidney Cancer
  • Non-Hodgkin Lymphoma
  • Bladder Cancer

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of the World

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
    • 1.2.1. AI In Oncology for Analytical Solutions Market, by Region, 2019-2029 (USD Billion)
    • 1.2.2. AI In Oncology for Analytical Solutions Market, by Component, 2019-2029 (USD Billion)
    • 1.2.3. AI In Oncology for Analytical Solutions Market, by Cancer Type, 2019-2029 (USD Billion)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global AI In Oncology for Analytical Solutions Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Scope of the Study
    • 2.2.2. Industry Evolution
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global AI In Oncology for Analytical Solutions Market Dynamics

  • 3.1. AI In Oncology for Analytical Solutions Market Impact Analysis (2019-2029)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Increasing prevalence of cancer
      • 3.1.1.2. Growing demand for telemedicine and remote care
    • 3.1.2. Market Challenges
      • 3.1.2.1. High Cost of AI In Oncology for Analytical Solutions
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Advancements in AI in oncology for analytical solutions
      • 3.1.3.2. Adoption of AI for disease diagnosis

Chapter 4. Global AI In Oncology for Analytical Solutions Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
  • 4.3. PEST Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
  • 4.4. Investment Adoption Model
  • 4.5. Analyst Recommendation & Conclusion
  • 4.6. Top investment opportunity
  • 4.7. Top winning strategies

Chapter 5. Risk Assessment: COVID-19 Impact

  • 5.1. Assessment of the overall impact of COVID-19 on the industry
  • 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global AI In Oncology for Analytical Solutions Market, by Component

  • 6.1. Market Snapshot
  • 6.2. Global AI In Oncology for Analytical Solutions Market by Component, Performance - Potential Analysis
  • 6.3. Global AI In Oncology for Analytical Solutions Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
  • 6.4. AI In Oncology for Analytical Solutions Market, Sub Segment Analysis
    • 6.4.1. Data Licensing Services
    • 6.4.2. Software Solutions
    • 6.4.3. Analytics and Other Services

Chapter 7. Global AI In Oncology for Analytical Solutions Market, by Cancer Type

  • 7.1. Market Snapshot
  • 7.2. Global AI In Oncology for Analytical Solutions Market by Cancer Type, Performance - Potential Analysis
  • 7.3. Global AI In Oncology for Analytical Solutions Market Estimates & Forecasts by Cancer Type 2019-2029 (USD Billion)
  • 7.4. AI In Oncology for Analytical Solutions Market, Sub Segment Analysis
    • 7.4.1. Breast Cancer
    • 7.4.2. Lung Cancer
    • 7.4.3. Prostate Cancer
    • 7.4.4. Colorectal Cancer
    • 7.4.5. Brain Tumor
    • 7.4.6. Kidney Cancer
    • 7.4.7. Non-Hodgkin Lymphoma
    • 7.4.8. Bladder Cancer

Chapter 8. Global AI In Oncology for Analytical Solutions Market, Regional Analysis

  • 8.1. AI In Oncology for Analytical Solutions Market, Regional Market Snapshot
  • 8.2. North America AI In Oncology for Analytical Solutions Market
    • 8.2.1. U.S. AI In Oncology for Analytical Solutions Market
      • 8.2.1.1. Component breakdown estimates & forecasts, 2019-2029
      • 8.2.1.2. Cancer Type breakdown estimates & forecasts, 2019-2029
    • 8.2.2. Canada AI In Oncology for Analytical Solutions Market
  • 8.3. Europe AI In Oncology for Analytical Solutions Market Snapshot
    • 8.3.1. U.K. AI In Oncology for Analytical Solutions Market
    • 8.3.2. Germany AI In Oncology for Analytical Solutions Market
    • 8.3.3. France AI In Oncology for Analytical Solutions Market
    • 8.3.4. Spain AI In Oncology for Analytical Solutions Market
    • 8.3.5. Italy AI In Oncology for Analytical Solutions Market
    • 8.3.6. Rest of Europe AI In Oncology for Analytical Solutions Market
  • 8.4. Asia-Pacific AI In Oncology for Analytical Solutions Market Snapshot
    • 8.4.1. China AI In Oncology for Analytical Solutions Market
    • 8.4.2. India AI In Oncology for Analytical Solutions Market
    • 8.4.3. Japan AI In Oncology for Analytical Solutions Market
    • 8.4.4. Australia AI In Oncology for Analytical Solutions Market
    • 8.4.5. South Korea AI In Oncology for Analytical Solutions Market
    • 8.4.6. Rest of Asia Pacific AI In Oncology for Analytical Solutions Market
  • 8.5. Latin America AI In Oncology for Analytical Solutions Market Snapshot
    • 8.5.1. Brazil AI In Oncology for Analytical Solutions Market
    • 8.5.2. Mexico AI In Oncology for Analytical Solutions Market
  • 8.6. Rest of The World AI In Oncology for Analytical Solutions Market

Chapter 9. Competitive Intelligence

  • 9.1. Top Market Strategies
  • 9.2. Company Profiles
    • 9.2.1. Azra AI
      • 9.2.1.1. Key Information
      • 9.2.1.2. Overview
      • 9.2.1.3. Financial (Subject to Data Availability)
      • 9.2.1.4. Product Summary
      • 9.2.1.5. Recent Developments
    • 9.2.2. International Business Machines Corporation
    • 9.2.3. Siemens Healthineers
    • 9.2.4. Intel Corporation
    • 9.2.5. GE Healthcare
    • 9.2.6. NVIDIA Corporation
    • 9.2.7. Digital Diagnostics Inc.
    • 9.2.8. Concert.AI
    • 9.2.9. Median Technologies
    • 9.2.10. Path AI

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes
  • 10.3. Research Assumption
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