Artificial Intelligence In Oncology Market
Artificial Intelligence In Oncology Market Forecasts to 2030 - Global Analysis By Component (Hardware, Services and Software Solutions), Cancer Type (Lung Cancer , Colorectal Cancer, Breast Cancer, Brain Tumor, Prostate Cancer and Other Cancer Types), Treatment Type, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $1,124.7 MN |
|
Projected Year Value (2030) |
US $5,727.9 MN |
|
CAGR (2023 - 2030) |
26.2% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Artificial Intelligence in Oncology Market is accounted for $1,124.7 million in 2023 and is expected to reach $5,727.9 million by 2030 growing at a CAGR of 26.2% during the forecast period. Oncology uses artificial intelligence (AI) to diagnose cancer more quickly and accurately, which improves patient outcomes. AI uses computer programs that examine enormous volumes of data to predict cancer. AI applications in oncology may enhance cancer detection, diagnosis, and therapy planning. AI is reshaping the current scenario of oncology by combining the massive amounts of data generated by multi-omics analyses with recent advances in deep learning and high-performance computing strategies.
According to WHO statistics, approximately 2.3 million people worldwide will be screened for breast cancer in 2020.
Market Dynamics:
Driver:
Potential of precision medicine
The adoption of AI in the oncology market has been significantly fuelled by the development of precision medicine as a promising oncology strategy. Based on each patient's specific features, including genetic make-up, lifestyle choices, and impacts from the environment, precision medicine tries to customise medical treatments for them. Additionally, this method acknowledges that every patient's cancer is unique and that various treatment approaches may have varied effects on it. It enhances the precision of cancer classification and diagnosis. AI systems can discover certain genetic variations or mutations that are indicative of particular cancer kinds or subtypes by analysing genomic data which enhances the market growth.
Restraint:
Data quality
Adoption of AI in the cancer market is severely constrained by the quality of the data. Large volumes of high-quality data are needed in oncology to properly train AI algorithms and create precise predictive models. However, acquiring such information can be difficult for a number of reasons. Oncology data is frequently dispersed across numerous hospitals, clinics, research facilities, and healthcare systems. Potential differences in data formats, codes, and data gathering techniques, integrating data from many sources can be a challenging undertaking. The capacity to build extensive databases that include a variety of patient groups, cancer types, and treatment treatments is hampered by this fragmentation.
Opportunity:
Rising cancer burden
The global increase in cancer incidence has a significant impact on the adoption of AI in oncology market. By aiding with early detection, diagnosis, treatment planning, and monitoring, AI has the potential to improve cancer patient outcomes and survival rates. Cancer continues to be an issue for global health due to its rising incidence and mortality rates. Additionally, with the complexity of cancer diagnosis and therapy and the increasing number of patient data, oncologists increasingly need sophisticated tools to assist them in making more accurate and personalised treatment decisions.
Threat:
Cost and infrastructure
Significant investments are required in a number of areas before AI technologies may be implemented in healthcare settings, including oncology. It costs money to build the infrastructure of hardware and software necessary to support AI applications. High-performance servers, GPUs (Graphics Processing Units), and storage systems are frequently needed for AI algorithms. Particularly for smaller healthcare facilities with limited resources, these infrastructure components can be expensive to purchase and maintain. Furthermore, it can be difficult to integrate AI technology into the infrastructure and operations used in healthcare settings nowadays. The smooth incorporation of AI tools into oncology practices can be hampered by legacy systems, interoperability issues, and a lack of standardisation hampers the market growth.
Covid-19 Impact
The coronavirus helped AI detect cancer. Applications of AI and machine learning helped to lighten the workload of healthcare and medical facilities. With the growth of the sector, numerous global IT behemoths have stepped up to develop AI tools and software that identify the coronavirus, which will eventually support the growth of cancer diagnosis facilities. The paucity of medical professionals caused by the rising coronavirus cases drives the adoption of AI tools for better patient assistance and better outcomes.
The chemotherapy segment is expected to be the largest during the forecast period
The chemotherapy segment is estimated to hold the largest share. The chemotherapy-based therapy involves the use of chemical molecules that kill quickly proliferating cancer cells. A unique digital profile of each patient can be created with the help of AI when it comes to chemotherapy treatment, allowing doctors to adjust the patient's dose properly. The expansion of research efforts to use AI in chemotherapy has sped up segment growth. A personalised digital profile of each patient can be created with the help of AI when it comes to chemotherapy treatment, enabling doctors to modify the patient's dose accordingly. The expansion of research efforts to use AI in chemotherapy has sped up segment growth.
The software solutions segment is expected to have the highest CAGR during the forecast period
The software solutions segment is anticipated to have lucrative growth during the forecast period. AI-enabled software solutions have the potential to improve a number of elements of cancer care, including the diagnosis, planning, and monitoring of treatments. These software solutions allow advanced data analytics and machine learning to extract analytical information and enhance healthcare professionals' decision-making. Furthermore, these systems can produce prediction models to direct treatment decisions by combining patient-specific data, such as genetic data, treatment histories, and clinical results. AI software solutions can also help in the monitoring of disease development and therapy responses. Overall, AI-powered software solutions have the capacity to transform cancer treatment through improving clinical decision-making, enhancing patient outcomes, and expediting oncology-related research and development initiatives.
Region with largest share:
North America commanded the largest market share during the extrapolated period due to the presence of well-developed digital infrastructure, favourable regulatory and reimbursement policies, and rising government initiatives to boost the adoption of AI technology in the healthcare industry. The increasing incidence of various cancers is fueling the demand for improved therapies and diagnostics, which is further encouraging regional market expansion.
Region with highest CAGR:
Europe is expected to witness profitable growth over the projection period. European nations with strong health systems and research institutions, such as Germany, France, and Great Britain, have made significant contributions to the development and use of artificial intelligence techniques in cancer therapy research and care. As a result, Europe has also seen major developments in oncology research and treatment. The improvement of care delivery and the improvement of precision cancer therapy outcomes for a specific patient population are the main areas of focus for the implementation of these strategies in clinical settings.
Key players in the market
Some of the key players in the Artificial Intelligence In Oncology Market include Concert AI, CancerCenter.AI, Median Technologies, IBM Watson Health, Berg, GE Healthcare, LK Inspection, Path AI, Owkin, Inc., Roche Diagnostics, Azra AI, Intel, Siemens Healthineers, Digital Diagnostics Inc. and NVIDIA.
Key Developments:
In July 2023, Path AI launched AIM-HER2 Breast Cancer, an Artificial Intelligence-Powered HER2 Scoring Algorithm that can be utilized by biopharma research and clinical labs.
In June 2023, GE Healthcare has announced collaboration with RaySearch Laboratories AB (publ), a prominent provider of radiation oncology software, to create a new radiation therapy simulation and treatment planning workflow solution that would simplify how radiation is targeted to decrease a tumour.
In September 2021, Owkin, Inc., in collaboration with Cleveland Clinic researchers, announced the development of a deep-learning model that predicts survival and health outcomes for hepato cellular carcinoma.
Components Covered:
• Hardware
• Services
• Software Solutions
Cancer Types Covered:
• Lung Cancer
• Colorectal Cancer
• Breast Cancer
• Brain Tumor
• Prostate Cancer
• Other Cancer Types
Treatment Types Covered:
• Chemotherapy
• Immunotherapy
• Radiotherapy
• Other Treatment Types
Applications Covered:
• Cancer Detection
• Drug Development
• Drug Discovery
• Other Applications
End Users Covered:
• Diagnostic Centers
• Hospitals
• Pharmaceutical Companies
• Research Institutes
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence In Oncology Market, By Component
5.1 Introduction
5.2 Hardware
5.3 Services
5.4 Software Solutions
6 Global Artificial Intelligence In Oncology Market, By Cancer Type
6.1 Introduction
6.2 Lung Cancer
6.3 Colorectal Cancer
6.4 Breast Cancer
6.5 Brain Tumor
6.6 Prostate Cancer
6.7 Other Cancer Types
7 Global Artificial Intelligence In Oncology Market, By Treatment Type
7.1 Introduction
7.2 Chemotherapy
7.3 Immunotherapy
7.4 Radiotherapy
7.5 Other Treatment Types
8 Global Artificial Intelligence In Oncology Market, By Application
8.1 Introduction
8.2 Cancer Detection
8.3 Drug Development
8.4 Drug Discovery
8.5 Other Applications
9 Global Artificial Intelligence In Oncology Market, By End Users
9.1 Introduction
9.2 Diagnostic Centers
9.3 Hospitals
9.4 Pharmaceutical Companies
9.5 Research Institutes
9.6 Other End Users
10 Global Artificial Intelligence In Oncology Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Concert AI
12.2 CancerCenter.AI
12.3 Median Technologies
12.4 IBM Watson Health
12.5 Berg
12.6 GE Healthcare
12.7 JLK Inspection
12.8 Path AI
12.9 Owkin, Inc.,
12.10 Roche Diagnostics
12.11 Azra AI
12.12 Intel
12.13 Siemens Healthineers
12.14 Digital Diagnostics Inc.
12.15 NVIDIA
List of Tables
1 Global Artificial Intelligence In Oncology Market Outlook, By Region (2021-2030) ($MN)
2 Global Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
3 Global Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
4 Global Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
5 Global Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
6 Global Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
7 Global Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
8 Global Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
9 Global Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
10 Global Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
11 Global Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
12 Global Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
13 Global Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
14 Global Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
15 Global Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
16 Global Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
17 Global Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
18 Global Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
19 Global Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
20 Global Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
21 Global Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
22 Global Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
23 Global Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
24 Global Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
25 Global Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
26 Global Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
27 Global Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
28 Global Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
29 North America Artificial Intelligence In Oncology Market Outlook, By Country (2021-2030) ($MN)
30 North America Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
31 North America Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
32 North America Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
33 North America Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
34 North America Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
35 North America Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
36 North America Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
37 North America Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
38 North America Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
39 North America Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
40 North America Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
41 North America Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
42 North America Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
43 North America Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
44 North America Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
45 North America Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
46 North America Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
47 North America Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
48 North America Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
49 North America Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
50 North America Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
51 North America Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
52 North America Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
53 North America Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
54 North America Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
55 North America Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
56 North America Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
57 Europe Artificial Intelligence In Oncology Market Outlook, By Country (2021-2030) ($MN)
58 Europe Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
59 Europe Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
60 Europe Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
61 Europe Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
62 Europe Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
63 Europe Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
64 Europe Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
65 Europe Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
66 Europe Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
67 Europe Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
68 Europe Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
69 Europe Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
70 Europe Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
71 Europe Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
72 Europe Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
73 Europe Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
74 Europe Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
75 Europe Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
76 Europe Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
77 Europe Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
78 Europe Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
79 Europe Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
80 Europe Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
81 Europe Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
82 Europe Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
83 Europe Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
84 Europe Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
85 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Country (2021-2030) ($MN)
86 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
87 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
88 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
89 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
90 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
91 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
92 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
93 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
94 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
95 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
96 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
97 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
98 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
99 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
100 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
101 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
102 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
103 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
104 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
105 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
106 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
107 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
108 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
109 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
110 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
111 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
112 Asia Pacific Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
113 South America Artificial Intelligence In Oncology Market Outlook, By Country (2021-2030) ($MN)
114 South America Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
115 South America Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
116 South America Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
117 South America Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
118 South America Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
119 South America Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
120 South America Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
121 South America Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
122 South America Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
123 South America Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
124 South America Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
125 South America Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
126 South America Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
127 South America Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
128 South America Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
129 South America Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
130 South America Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
131 South America Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
132 South America Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
133 South America Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
134 South America Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
135 South America Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
136 South America Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
137 South America Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
138 South America Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
139 South America Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
140 South America Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
141 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Country (2021-2030) ($MN)
142 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Component (2021-2030) ($MN)
143 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Hardware (2021-2030) ($MN)
144 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Services (2021-2030) ($MN)
145 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Software Solutions (2021-2030) ($MN)
146 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Cancer Type (2021-2030) ($MN)
147 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Lung Cancer (2021-2030) ($MN)
148 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Colorectal Cancer (2021-2030) ($MN)
149 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Breast Cancer (2021-2030) ($MN)
150 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Brain Tumor (2021-2030) ($MN)
151 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Prostate Cancer (2021-2030) ($MN)
152 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Other Cancer Types (2021-2030) ($MN)
153 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Treatment Type (2021-2030) ($MN)
154 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Chemotherapy (2021-2030) ($MN)
155 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Immunotherapy (2021-2030) ($MN)
156 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Radiotherapy (2021-2030) ($MN)
157 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Other Treatment Types (2021-2030) ($MN)
158 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Application (2021-2030) ($MN)
159 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Cancer Detection (2021-2030) ($MN)
160 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Drug Development (2021-2030) ($MN)
161 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Drug Discovery (2021-2030) ($MN)
162 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Other Applications (2021-2030) ($MN)
163 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By End Users (2021-2030) ($MN)
164 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Diagnostic Centers (2021-2030) ($MN)
165 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Hospitals (2021-2030) ($MN)
166 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Pharmaceutical Companies (2021-2030) ($MN)
167 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Research Institutes (2021-2030) ($MN)
168 Middle East & Africa Artificial Intelligence In Oncology Market Outlook, By Other End Users (2021-2030) ($MN)
List of Figures
List of Figures
Figure 1 Global Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 2 North America Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 3 US Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 4 Canada Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 5 Mexico Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 6 Europe Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 7 Germany Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 8 UK Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 9 Italy Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 10 France Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 11 Spain Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 12 Rest of Europe Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 13 Asia Pacific Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 14 Japan Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 15 China Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 16 India Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 17 Australia Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 18 New Zealand Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 19 South Korea Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 20 Rest of Asia Pacific Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 21 South America Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 22 Argentina Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 23 Brazil Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 24 Chile Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 25 Rest of South America Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 26 Middle East & Africa Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 27 Saudi Arabia Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 28 UAE Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 29 Qatar Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 30 South Africa Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
Figure 31 Rest of Middle East & Africa Artificial Intelligence In Oncology Market Outlook (2021-2030) ($MN)
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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