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AI in Cancer Diagnosis Market Report Scope & Market Overview:

The AI in Cancer Diagnosis Market was valued at USD 118.54 billion in 2022 and is expected to reach at USD 845.78 billion by 2030 and grow at a CAGR of 27.8% over the forecast period of 2023-2030.

There has been an immense technological advancement in the healthcare industry in the developed and the emerging regions which gives the opportunity for the AI in cancer diagnosis to grow during the forecasted period, the rising demand for the AI in cancer diagnosis because of the rising cases of diagnosis all around the globe is considered to be the rising demand for the AI in cancer diagnosis market, According to our analysis, The major objective behind using AI in cancer diagnosis is to detect the cancer in the early stages, with the help of AI doctors can get data of a patient which can help the doctors to start the treatment as soon as possible, some of the health experts gave a statement regarding it is not fully proven that AI can save time and cost and give accurate imaging details which can be a restraining  factor of AI in cancer treatment market.

AI in Cancer Diagnosis market Revenue Analysis

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Doctor’s state that if cancer is detected in the early stages the chances are it can be cured with proper treatment, AI plays an important role for giving the details of the patients, The rising R&D and the initiatives taken by the government to support the development of AI in cancer diagnosis are the factors which contribute to the growth of this particular market. Many organizations have stated that the rising cases of the cancer is the major problem for the world, that have also stated that the detection of the cases in the early phase can lead up to cost saving and less efforts to cure which will benefit the patient.

Impact of Covid-19 Analysis

Covid 19 had a negative impact on the cancer patients but impacted the AI in cancer diagnosis market positively, according to our sources the major factors which impacted negatively on the cancer patients was the delay in the screen testing of the cancer patients, the rising covid cases made it difficult for the cancer patients to cure the hospitals because of the social anxiety another factor which affected the delay in the screening was the lack of staffs as the priority was treating the covid 19 patients, this led to rise in the awareness about the utilization of the AI in cancer diagnosis which impacted the market in a positive manner.

Drivers

  • The benefits associated with the AI in cancer treatment

  • The rising cases of the cancer patients globally

Cancer is the disease which is responsible for the highest number of deaths in the recent years, According to the World Health Organization (WHO) in 2021 20 million people were diagnosed by cancer and 10 million died, the seriousness about the cancer is been a priority in the healthcare sectors, there has been various plans and programs organized by various government and private organizations in favour of reducing the number and also making sure the patients get proper and quality treatment and this is where the AI comes in picture, this is what our analysis is regarding the demand of the AI in cancer which will reduce the human efforts and will improve the quality by detecting the early threats. 

Restrain

  • The lack of awareness in the undeveloped regions.

  • The lack of budget and infrastructure to promote and support the advanced technologies in the undeveloped regions.

Opportunity

  • The rising initiative taken by the government and the key players to improve the healthcare infrastructure which includes AI as well.

Challenges

  • To maintain the accuracy of the diagnosis as the lack of data and proper information may lead to different solutions which may affect the patient’s health negatively 

Key Market Segmentation

By Component Outlook

  • Software Solutions

  • Hardware

  • Services

By Cancer Type

  • Breast Cancer

  • Lung Cancer

  • Prostate Cancer

  • Brain Tumor

  • Others

By End User

AI in Cancer Diagnosis market Segmentation Analysis

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Regional analysis:

North America will dominate the region because of the number of rising cancer patients in these regions and also the rising demand for the AI in cancer diagnoses, the improving healthcare technological advancement in the developed countries of these regions is the major factors which contribute to the growth of AI in cancer diagnosis market in North America.

APAC is also expected to show a good growth during the forecasted period because of the rising initiatives taken by the government of the developing and the emerging countries regarding the infrastructure and budget for the healthcare domains which will affect the AI in cancer market, and another factor which contributes to the growth of the market in these regions is the rising cases of the cancer patients in the developed and the emerging countries of APAC region.     

Key Players

The major key players are EarlySign, Cancer Center.ai, Microsoft, Flatiron, Path AI, Therapixel, Tempus, Paige Ai, Inc, Kheiron Medical Technologies Limited, SkinVision & Other players.

Microsoft,-Company Financial Analysis

Company Landscape Analysis

AI in Cancer Diagnosis market Report Scope:
Report Attributes Details
Market Size in 2022  US$  118.54 Bn
Market Size by 2030  US$ 845.78 Bn
CAGR   CAGR of  27.8 % From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component Outlook (Software Solutions, Hardware, Services)
• By Cancer Type (Breast cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Others)
• By End User (Hospitals, Surgical Centers and Medical Institutes, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles EarlySign, Cancer Center.ai, Microsoft, Flatiron, Path AI, Therapixel, Tempus, Paige Ai, Inc, Kheiron Medical Technologies Limited, SkinVision
Key Drivers • The benefits associated with the AI in cancer treatment.
• The rising cases of the cancer patients globally
Market Opportunities • The rising initiative taken by the government and the key players to improve the healthcare infrastructure which includes the AI as well.

 

Frequently Asked Questions

Ans: The AI in Cancer Diagnosis Market size was valued at US$ 118.54 Bn in 2022.

  • The benefits associated with the AI in cancer treatment.
  • The rising cases of the cancer patients globally

North America will dominate the region because of the number of rising cancer patients in these regions and also the rising demand for the Ai in cancer diagnoses

Ans: The AI in Cancer Diagnosis Market is growing at a CAGR of 27.8% Over the Forecast Period 2023-2030.

Market is divided in 3 segments by component outlook, by cancer type and by end user.

Table of Contents

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 COVID-19 Impact Analysis

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. AI in Cancer Market Segmentation, by Component Outlook
8.1 Software Solutions
8.2 Hardware
8.3 Services

9. AI in Cancer Market Segmentation, by Cancer Type
9.1 Breast Cancer
9.2 Lung Cancer
9.3 Prostate Cancer
9.4 Colorectal Cancer
9.5 Brain Tumor
9.6 Others

10. AI in Cancer Market Segmentation, by End User
10.1 Hospital
10.2 Surgical Centres and Medical Institutes
10.3 Others

11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 USA
11.2.1.1 USA AI in Cancer Diagnosis Market by Component Outlook
11.2.1.2 USA AI in Cancer Diagnosis Market by Cancer Type
11.2.1.3 USA AI in Cancer Diagnosis Market by End User
11.2.2 Canada
11.2.2.1 Canada AI in Cancer Diagnosis Market by Component Outlook
11.2.2.2 Canada AI in Cancer Diagnosis Market by Cancer Type
11.2.2.3 Canada AI in Cancer Diagnosis Market by End User
11.2.3 Mexico
11.2.3.1 Mexico AI in Cancer Diagnosis Market by Component Outlook
11.2.3.2 Mexico AI in Cancer Diagnosis Market by Cancer Type
11.2.3.3 Mexico AI in Cancer Diagnosis Market by End User
11.3 Europe
11.3.1 Germany
11.3.1.1 Germany AI in Cancer Diagnosis Market by Component Outlook
11.3.1.2 Germany AI in Cancer Diagnosis Market by Cancer Type
11.3.1.2 Germany AI in Cancer Diagnosis Market by End User
11.3.2 UK
11.3.2.1 UK AI in Cancer Diagnosis Market by Component Outlook
11.3.2.2 UK AI in Cancer Diagnosis Market by Cancer Type
11.3.2.3 UK AI in Cancer Diagnosis Market by End User
11.3.3 France
11.3.3.1 France AI in Cancer Diagnosis Market by Component Outlook
11.3.3.2 France AI in Cancer Diagnosis Market by Cancer Type
11.3.3.3 France AI in Cancer Diagnosis Market by End User
11.3.4 Italy
11.3.4.1 Italy AI in Cancer Diagnosis Market by Component Outlook
11.3.4.2 Italy AI in Cancer Diagnosis Market by Cancer Type
11.3.4.3 Italy AI in Cancer Diagnosis Market by End User
11.3.5 Spain
11.3.5.1 Spain AI in Cancer Diagnosis Market by Component Outlook
11.3.5.2 Spain AI in Cancer Diagnosis Market by Cancer Type
11.3.5.3 Spain AI in Cancer Diagnosis Market by End User
11.3.6 The Netherlands
11.3.6.1 Netherlands AI in Cancer Diagnosis Market by Component Outlook
11.3.6.2 Netherlands AI in Cancer Diagnosis Market by Cancer Type
11.3.6.3 Netherlands AI in Cancer Diagnosis Market by End User
11.3.7 Rest of Europe
11.3.7.1 Rest of Europe AI in Cancer Diagnosis Market by Component Outlook
11.3.7.2 Rest of Europe AI in Cancer Diagnosis Market by Cancer Type
11.3.7.3 Rest of Europe AI in Cancer Diagnosis Market by End User
11.4 Asia-Pacific
11.4.1 Japan
11.4.1.1 Japan AI in Cancer Diagnosis Market by Component Outlook
11.4.1.2 Japan AI in Cancer Diagnosis Market by Cancer Type
11.4.1.3 Japan AI in Cancer Diagnosis Market by End User
11.4.2 South Korea
11.4.2.1 South Korea AI in Cancer Diagnosis Market by Component Outlook
11.4.2.2 South Korea AI in Cancer Diagnosis Market by Cancer Type
11.4.2.3 South Korea AI in Cancer Diagnosis Market by End User
11.4.3 China
11.4.3.1 China AI in Cancer Diagnosis Market by Component Outlook
11.4.3.2 China AI in Cancer Diagnosis Market by Cancer Type
11.4.3.3 China AI in Cancer Diagnosis Market by End User
11.4.4 India
11.4.4.1 India AI in Cancer Diagnosis Market by Component Outlook
11.4.4.2 India AI in Cancer Diagnosis Market by Cancer Type
11.5.4.3 India AI in Cancer Diagnosis Market by End User
11.4.5 Australia
11.4.5.1 Australia AI in Cancer Diagnosis Market by Component Outlook
11.4.5.2 Australia AI in Cancer Diagnosis Market by Cancer Type
11.4.5.3 Australia AI in Cancer Diagnosis Market by End User
11.4.6 Rest of Asia-Pacific
11.4.6.1 APAC AI in Cancer Diagnosis Market by Component Outlook
11.4.6.2 APAC AI in Cancer Diagnosis Market by Cancer Type
11.4.6.3 APAC AI in Cancer Diagnosis Market by End User
11.5 The Middle East & Africa
11.5.1 Israel
11.5.1.1 Israel AI in Cancer Diagnosis Market by Component Outlook
11.5.1.2 Israel AI in Cancer Diagnosis Market by Cancer Type
11.5.1.3 Israel AI in Cancer Diagnosis Market by End User
11.5.2 UAE
11.5.2.1 UAE AI in Cancer Diagnosis Market by Component Outlook
11.5.2.2 UAE AI in Cancer Diagnosis Market by Cancer Type
11.5.2.3 UAE AI in Cancer Diagnosis Market by End User
11.5.3 South Africa
11.5.3.1 South Africa AI in Cancer Diagnosis Market by Component Outlook
11.5.3.2 South Africa AI in Cancer Diagnosis Market by Cancer Type
11.5.3.3 South Africa AI in Cancer Diagnosis Market by End User
11.5.4 Rest of Middle East & Africa
11.5.4.1 Rest of Middle East & Asia AI in Cancer Diagnosis Market by Component Outlook
11.5.4.2 Rest of Middle East & Asia AI in Cancer Diagnosis Market by Cancer Type
11.5.4.3 Rest of Middle East & Asia AI in Cancer Diagnosis Market by End User
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Brazil AI in Cancer Diagnosis Market by Component Outlook
11.6.1.2 Brazil Africa AI in Cancer Diagnosis Market by Cancer Type
11.6.1.3 Brazil AI in Cancer Diagnosis Market by End User
11.6.2 Argentina
11.6.2.1 Argentina AI in Cancer Diagnosis Market by Component Outlook
11.6.2.2 Argentina AI in Cancer Diagnosis Market by Cancer Type
11.6.2.3 Argentina AI in Cancer Diagnosis Market by End User
11.6.3 Rest of Latin America
11.6.3.1 Rest of Latin America AI in Cancer Diagnosis Market by Component Outlook
11.6.3.2 Rest of Latin America AI in Cancer Diagnosis Market by Cancer Type
11.6.3.3 Rest of Latin America AI in Cancer Diagnosis Market by End User

12. Company Profile
12.1EarlySign
12.1.1 Market Overview
12.1.2 Financials
12.1.3 Product  /Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Cancer Center.ai
12.2.1 Market Overview
12.2.2 Financials
12.2.3 Product  /Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Microsoft
12.3.1 Market Overview
12.3.2 Financials
12.3.3 Product  /Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Flatiron
12.4.1 Market Overview
12.4.2 Financials
12.4.3 Product  /Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 Path Ai
12.5.1 Market Overview
12.5.2 Financials
12.5.3 Product  /Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 TheraPixel
12.6.1 Market Overview
12.6.2 Financials
12.6.3 Product  /Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 Tempus
12.7.1 Market Overview
12.7.2 Financials
12.7.3 Product  /Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 Paige Ai
12.8.1 Market Overview
12.8.2 Financials
12.8.3 Product /Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 Kheiron Medical Technologies Limited
12.9.1 Market Overview
12.9.2 Financials
12.9.3 Product /Services/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 SkinVision
12.10.1 Market Overview
12.10.2 Financials
12.10.3 Product /Services/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View

13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments

14. Used Cases and Best Practices

15. 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.

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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.

Secondary Research

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.

Primary Research

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.

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Data Bank Validation

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