The Asia Pacific artificial intelligence (AI) in healthcare market is expected to reach US$ 17,797.42 million in 2027 from US$ 622.92 million in 2019. The market is estimated to grow with a CAGR of 50.8% from 2020-2027.
Artificial intelligence (AI) in healthcare is the use of machine-learning algorithms and software to analyze, process and present complex medical and health care data. Artificial intelligence (AI) is field of the computer science that allows machine to do interactive functions similar to humans. The AI allow systems to do activities such as speech recognition, learning, data monitoring, data recording and more. The use of AI technology in healthcare sector decreases high healthcare costs and reduces the work burden on healthcare professionals. It has been widely used to support clinical decisions, improve workflows and predict health outcomes. Thus, wide application of AI in the healthcare sector is likely to propel the growth of the market. The scope of the artificial intelligence (AI) in healthcare market includes component, application, end user, and region.
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ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SEGMENTATION
By Component
- Software Solution
- Hardware
- Services
By Application
- Robot Assisted Surgery
- Virtual Assistants
- Administrative Workflow Assistants
- Connected Machines
- Diagnosis
- Clinical Trials
- Fraud Detection
- Cybersecurity
- Dosage Error Reduction
- Others
By End User
- Hospitals and Healthcare Providers
- Patients
- Pharma and Biotech Companies
- Healthcare Payers
- Others
By Country
- China
- India
- Japan
- South Korea
- Australia
- Rest of Asia Pacific
Company Profiles
- General Electric Company
- Alphabet Inc.
- Intel Corporation
- Koninklijke Philips N.V
- Microsoft Corporation
- NVIDIA CORPORATION
- Nuance Communications, Inc.
- Siemens Healthineers AG
- Arterys Inc.
- Johnson and Johnson Services, Inc
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component, Application, End User
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Australia, China, Japan, South Korea
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
1.3.1 Artificial Intelligence (AI) in Healthcare Market – By Component
1.3.2 Artificial Intelligence (AI) in Healthcare Market – By Application
1.3.3 Artificial Intelligence (AI) in Healthcare Market – By End User
1.3.4 Asia Pacific Artificial Intelligence (AI) in Healthcare Market – By Country
2. Asia Pacific Artificial Intelligence (AI) in Healthcare Market – Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Asia Pacific Artificial Intelligence (AI) in Healthcare Market – Market Landscape
4.1 Overview
4.2 PEST Analysis
4.2.1 Artificial Intelligence (AI) in Healthcare Market- Asia Pacific PEST Analysis
4.3 Expert Opinion
5. Asia Pacific Artificial Intelligence (AI) in Healthcare Market - Key Market Dynamics
5.1 Market Drivers
5.1.1 Increasing Public-Private Investments in Artificial Intelligence in Healthcare
5.1.2 Burgeoning Partnerships Among Market Players
5.2 Market Restraints
5.2.1 Lack of Expertise in Artificial Intelligence Professionals and Non-Uniform Regulatory Guidelines for Medical Software
5.3 Market Opportunities
5.3.1 High Growth in Developing Countries in Artificial Intelligence in the Healthcare Sector
5.4 Future Trends
5.4.1 Benefits Offered by Artificial Intelligence in an Epidemic Outbreak
5.5 Impact Analysis
6. Artificial Intelligence (AI) in Healthcare Market – Asia Pacific Analysis
6.1 Asia Pacific Artificial Intelligence (AI) in Healthcare Market Revenue Forecasts and Analysis
7. Asia Pacific Artificial Intelligence (AI) in Healthcare Market Analysis and Forecasts To 2027 – By Component
7.1 Overview
7.2 Artificial Intelligence in Healthcare Market Revenue Share, by Component (2019 and 2027)
7.3 Software Solution
7.3.1 Overview
7.3.2 Software Solution: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
7.4 Hardware
7.4.1 Overview
7.4.2 Hardware: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
7.5 Services
7.5.1 Overview
7.5.2 Services: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8. Asia Pacific Artificial Intelligence (AI) in Healthcare Market Analysis – By Application
8.1 Overview
8.2 Artificial Intelligence in Healthcare Market Revenue Share, by Application (2019 and 2027)
8.3 Robot Assisted Surgery
8.3.1 Overview
8.3.2 Robot Assisted Surgery: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.4 Virtual Assistants
8.4.1 Overview
8.4.2 Virtual Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.5 Administrative Workflow Assistants
8.5.1 Overview
8.5.2 Administrative Workflow Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.6 Connected Machines
8.6.1 Overview
8.6.2 Connected Machines: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027(US$ Million)
8.7 Diagnosis
8.7.1 Overview
8.7.2 Diagnosis: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.8 Clinical Trials
8.8.1 Overview
8.8.2 Clinical Trials: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.9 Fraud Detection
8.9.1 Overview
8.9.2 Fraud Detection: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.10 Cybersecurity
8.10.1 Overview
8.10.2 Cybersecurity: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.11 Dosage Error Reduction
8.11.1 Overview
8.11.2 Dosage Error Reduction: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
8.12 Others
8.12.1 Overview
8.12.2 Others: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
9. Asia Pacific Artificial Intelligence (AI) in Healthcare Market Analysis – By End User
9.1 Overview
9.2 Artificial Intelligence in Healthcare Market, by End-User, 2019 and 2027 (%)
9.3 Hospitals & Healthcare Providers
9.3.1 Overview
9.3.2 Hospitals & Healthcare Providers: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
9.4 Patients
9.4.1 Overview
9.4.2 Patients: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
9.5 Pharma and Biotech Companies
9.5.1 Overview
9.5.2 Pharma and Biotech Companies: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
9.6 Healthcare Payers
9.6.1 Overview
9.6.2 Healthcare Payers Market: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
9.7 Others
9.7.1 Overview
9.7.2 Others: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
10. Artificial Intelligence (AI) in Healthcare Market Revenue and Forecasts To 2027 – Geographical Analysis
10.1 Asia Pacific: Artificial Intelligence in Healthcare Market
10.1.1 Overview
10.1.3 Asia Pacific: Artificial Intelligence in Healthcare Market, by Country, 2019 & 2027 (%)
10.1.4 China: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.4.1 China: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.4.2 China Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.4.3 China Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.4.4 China Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
10.1.5 Japan: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.5.1 Japan: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.5.2 Japan Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.5.3 Japan Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.5.4 Japan Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
10.1.6 India: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.6.1 India: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.6.2 India Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.6.3 India Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.6.4 India Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
10.1.7 South Korea: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.7.1 South Korea: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.7.2 South Korea Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.7.3 South Korea Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.7.4 South Korea Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
10.1.8 Australia: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.8.1 Australia: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.8.2 Australia Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.8.3 Australia Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.8.4 Australia Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
10.1.9 Rest of Asia Pacific: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.9.1 Rest of Asia Pacific: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
10.1.9.2 Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
10.1.9.3 Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
10.1.9.4 Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
11. Impact Of COVID-19 Pandemic on Asia Pacific Artificial Intelligence (AI) in Healthcare Market
11.1 Asia Pacific: Impact Assessment of COVID-19 Pandemic
12. Industry Landscape
12.1 Overview
12.2 Inorganic Growth Strategies
12.2.1 Overview
12.3 Organic Growth Strategies
12.3.1 Overview
13. COMPANY PROFILES
13.1 General Electric Company
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 Alphabet Inc.
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Intel Corporation
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Koninklijke Philips N.V.
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.5 Microsoft Corporation
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 NVIDIA CORPORATION
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Nuance Communications, Inc.
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Siemens Healthineers AG
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Arterys Inc.
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 Johnson and Johnson Services, Inc.
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Products and Services
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments
14. Appendix
14.1 About the Insight Partners
14.2 Glossary of terms
LIST OF TABLES
Table 1. China Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 2. China Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
Table 3. China Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
Table 4. Japan Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 5. Japan Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
Table 6. Japan Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
Table 7. India Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 8. India Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
Table 9. India Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
Table 10. South Korea Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 11. South Korea Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027 (USD Million)
Table 12. South Korea Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027 (USD Million)
Table 13. Australia Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 14. Australia Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
Table 15. Australia Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
Table 16. Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by Component – Revenue and Forecast to 2027 (USD Million)
Table 17. Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by Application– Revenue and Forecast to 2027(USD Million)
Table 18. Rest of Asia Pacific Artificial Intelligence in Healthcare Market, by End User– Revenue and Forecast to 2027(USD Million)
Table 19. Recent Inorganic Growth Strategies in the Artificial Intelligence in Healthcare Market
Table 20. Recent Organic Growth Strategies in the Artificial Intelligence in Healthcare Market
Table 21. Glossary of Terms, Artificial Intelligence (AI) in Healthcare Market
LIST OF FIGURES
Figure 1. Artificial Intelligence (AI) in Healthcare Market Segmentation
Figure 2. Asia Pacific Artificial Intelligence (AI) in Healthcare Market Overview
Figure 3. Hospitals & Healthcare Providers Segment Held Largest Share of End User in Artificial Intelligence (AI) in Healthcare Market
Figure 4. China is Expected to Show Remarkable Growth During the Forecast Period
Figure 5. Artificial Intelligence (AI) in Healthcare Market - Asia Pacific PEST Analysis
Figure 6. Artificial Intelligence (AI) in Healthcare Market Impact Analysis of Driver and Restraints
Figure 7. Asia Pacific Artificial Intelligence (AI) in Healthcare Market – Revenue Forecasts and Analysis – 2019- 2027
Figure 8. Artificial Intelligence in Healthcare Market Revenue Share, by Component (2019 and 2027)
Figure 9. Software Solution: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 10. Hardware: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 11. Services: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 12. Artificial Intelligence in Healthcare Market Revenue Share, by Application (2019 and 2027)
Figure 13. Robot Assisted Surgery: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 14. Virtual Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 15. Administrative Workflow Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 16. Connected Machines: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 17. Diagnosis: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 18. Clinical Trials: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 19. Fraud Detection: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 20. Cybersecurity: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 21. Dosage Error Reduction: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 22. Others: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 23. Artificial Intelligence in Healthcare Market, by End-User, 2019 and 2027 (%)
Figure 24. Hospitals & Healthcare Providers: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 25. Patients: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 26. Pharma and Biotech Companies: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 27. Healthcare Payers: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
Figure 28. Others: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
Figure 29. Asia Pacific: Artificial Intelligence in Healthcare Market, by Key Country – Revenue (2019) (USD Million)
Figure 30. Asia Pacific: Artificial Intelligence in Healthcare Market, by Country, 2019 & 2027 (%)
Figure 31. China: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 32. Japan: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 33. India: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 34. South Korea: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 35. Australia: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 36. Rest of Asia Pacific: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (USD Million)
Figure 37. Impact of COVID-19 Pandemic in Asia Pacific Country Markets
Figure 38. Growth Strategies Done by the Companies in the Market, (%)
- General Electric Company
- Alphabet Inc.
- Intel Corporation
- Koninklijke Philips N.V
- Microsoft Corporation
- NVIDIA CORPORATION
- Nuance Communications, Inc.
- Siemens Healthineers AG
- Arterys Inc.
- Johnson and Johnson Services, Inc
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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