Report Feature
The future of artificial intelligence in the cancer market looks promising with opportunities in the diagnosis, therapy, prognosis, health management, research applications. The opportunities for artificial intelligence in the global cancer market are- expected to grow with a CAGR of XX% from 2020 to 2025. The major drivers for this market are increasing prevalence of cancer and rising research and development activities related to its treatment.
A total of XX figures / charts and XX tables are provided in this more than 150-page report to help in your business decisions. Sample figures with some insights are shown below. To learn the scope, benefits, companies researched, and other details of the artificial intelligence in the global cancer market report, please download the report brochure.
In this market, surgery & chemotherapy is the largest therapy of artificial intelligence in cancer. Growth in various segments of the artificial intelligence in cancer market are given below:
The study includes trends and forecast for the global artificial intelligence in cancer market by AI tool, therapy, algorithm type, and application, and region as follows:
By AI Tool [Value ($ Million) shipment analysis for 2014 – 2025]:
- Machine Learning
- Natural Language Processing
- Image Processing
- Speech Recognition
By Therapy [Value ($ Million) shipment analysis for 2014 – 2025]:
- Surgery & Chemotherapy
- Radiotherapy
- Immunotherapy
- Alteration of Tumor Microenvironment
- Phototherapy
- Theranostics
- Gene Therapy
- Hyperthermia Therapy
- Sonodynamic Therapy
By Algorithm Type [Value ($ Million) shipment analysis for 2014 – 2025]:
- Artificial Neural Networks
- Deep Learning
By Application [Value ($ Million) shipment analysis for 2014 – 2025]:
- Diagnosis
- Therapy
- Prognosis
- Health Management
- Research
By Region [Value ($ Million) shipment analysis for 2014 – 2025]:
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North America
- United States
- Canada
- Mexico
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Europe
- United Kingdom
- Germany
- France
-
Asia Pacific
- China
- India
- Japan
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The Rest of the World
- Brazil
Some of the artificial intelligence in cancer companies profiled in this report include IBM, Digital Reasoning, Intel, Microsoft, Cancer Center.ai, Nvdia, Niramai Health Analytix, Johnson & Johnson, GE Healthcare, and Varian Medical Systems.
Lucintel forecasts that the surgery and chemotherapy will remain the largest therapy segment over the forecast period due to increasing prevalence of cancer and growing healthcare insurance & its reimbursement.
North America will remain the largest region over the forecast period due to increasing research and development activities related to cancer treatment and presence of developed healthcare infrastructure.
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Features of the Artificial Intelligence in the Global Cancer Market |
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This report answers following key questions |
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Q.1 What are some of the most promising potential, high-growth opportunities for the global artificial intelligence in cancer market by AI tool (machine learning, natural language processing, image processing, and speech recognition), therapy (surgery & chemotherapy, radiotherapy, immunotherapy, alteration of tumor microenvironment, phototherapy, theranostics, gene therapy, hyperthermia therapy, and sonodynamic therapy), algorithm type (artificial neural networks and deep learning), application (diagnosis, therapy, prognosis, health management, and research), and region (North America, Europe, Asia Pacific, and Rest of the World)? Q.2 Which segments will grow at a faster pace and why? Q.3 Which region will grow at a faster pace and why? Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the global artificial intelligence in cancer market? Q.5 What are the business risks and threats to the global artificial intelligence in cancer market? Q.6 What are the emerging trends in this artificial intelligence in cancer market and the reasons behind them? Q.7 What are some changing demands of customers in this artificial intelligence in cancer market? Q.8 What are the new developments in this artificial intelligence in cancer market? Which companies are leading these developments? Q.9 Who are the major players in this artificial intelligence in cancer market? What strategic initiatives are being implemented by key players for business growth? Q.10 What are some of the competitive products and processes in this artificial intelligence in cancer market, and how big of a threat do they pose for loss of market share via material or product substitution? Q.11 What M&A activities did take place in the last five years in the artificial intelligence in the global cancer market? |
Report Scope
| Key Features | Description |
| Base Year for Estimation | 2019 |
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Trend Period (Actual Estimates) |
2014-2019 |
| Forecast Period | 2020-2025 |
| Pages | More than 150 |
| Market Representation / Units | Revenue in US $ Million |
| Report Coverage | Market Trends & Forecasts, Competitor Analysis, New Product Development, Company Expansion, Merger, Acquisitions & Joint Venture, and Company Profiling |
| Market Segments | AI Tool (Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition), Therapy (Surgery & Chemotherapy, Radiotherapy, Immunotherapy, Alteration of Tumor Microenvironment, Phototherapy, Theranostics, Gene Therapy, Hyperthermia Therapy, and Sonodynamic Therapy), Algorithm Type (Artificial Neural Networks and Deep Learning), and Application (Diagnosis, Therapy, Prognosis, Health Management, and Research) |
Regional Scope |
North America (USA, Mexico, and Canada), Europe (United Kingdom, Germany, and France), Asia (China, India, and Japan), and ROW (Brazil) |
| Customization | 10% Customization without Any Additional Cost |
Table of Contents
1. Executive Summary
7.2 Emerging Trends in the Artificial Intelligence in the Global Cancer Market
4.1 Artificial Intelligence in the Global Cancer Market by Region
4.2.1 Market by AI Tool: Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition
4.2.2 Market by Therapy: Surgery & Chemotherapy, Radiotherapy, Immunotherapy, Alteration of Tumor Microenvironment, Phototherapy, Theranostics, Gene Therapy, Hyperthermia Therapy, and Sonodynamic Therapy
4.2.3 Market by Algorithm Type: Artificial Neural Networks and Deep Learning
4.2.4 Market by Application: Diagnosis, Therapy, Prognosis, Health Management, and Research
4.2.5 The United States Artificial Intelligence in Cancer Market
4.2.6 The Canadian Artificial Intelligence in Cancer Market
4.2.7 The Mexican Artificial Intelligence in Cancer Market
4.3.1 Market by AI Tool: Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition
4.3.2 Market by Therapy: Surgery & Chemotherapy, Radiotherapy, Immunotherapy, Alteration of Tumor Microenvironment, Phototherapy, Theranostics, Gene Therapy, Hyperthermia Therapy, and Sonodynamic Therapy
4.3.3 Market by Algorithm Type: Artificial Neural Networks and Deep Learning
4.3.4 Market by Application: Diagnosis, Therapy, Prognosis, Health Management, and Research
4.3.5 The Artificial Intelligence in Cancer Market of United Kingdom
4.3.6 The German Artificial Intelligence in Cancer Market
4.3.7 The French Artificial Intelligence in Cancer Market
4.4.1 Market by AI Tool: Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition
4.4.2 Market by Therapy: Surgery & Chemotherapy, Radiotherapy, Immunotherapy, Alteration of Tumor Microenvironment, Phototherapy, Theranostics, Gene Therapy, Hyperthermia Therapy, and Sonodynamic Therapy
4.4.3 Market by Algorithm Type: Artificial Neural Networks and Deep Learning
4.4.4 Market by Application: Diagnosis, Therapy, Prognosis, Health Management, and Research
4.4.5 The Chinese Artificial Intelligence in Cancer Market
4.4.6 The Indian Artificial Intelligence in Cancer Market
4.4.7 The Japanese Artificial Intelligence in Cancer Market
4.5.1 Market by AI Tool: Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition
4.5.2 Market by Therapy: Surgery & Chemotherapy, Radiotherapy, Immunotherapy, Alteration of Tumor Microenvironment, Phototherapy, Theranostics, Gene Therapy, Hyperthermia Therapy, and Sonodynamic Therapy
4.5.3 Market by Algorithm Type: Artificial Neural Networks and Deep Learning
4.5.4 Market by Application: Diagnosis, Therapy, Prognosis, Health Management, and Research
4.5.5 Brazilian Artificial Intelligence in Cancer Market
7.1.1 Growth Opportunities for the Artificial Intelligence in the Global Cancer Market by AI Tool
7.1.2 Growth Opportunities for the Artificial Intelligence in the Global Cancer Market by Therapy
7.1.3 Growth Opportunities for the Artificial Intelligence in the Global Cancer Market by Algorithm Type
7.1.4 Growth Opportunities for the Artificial Intelligence in the Global Cancer Market by Application
7.1.5 Growth Opportunities for the Artificial Intelligence in the Global Cancer Market by Region
Methodology
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
- In-depth interviews of the major players in this market
- Detailed secondary research from competitors’ financial statements and published data
- Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
- A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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