The South and Central America artificial intelligence (AI) in healthcare market is expected to grow from US$ 172.02 Mn in 2019 to US$ 4,214.89 Mn by 2027; it is estimated to grow at a CAGR of 47.9% from 2020 to 2027.
Brazil and Argentina are major economies in South and Central America. The companies are continuously improving the overall business processes to meet the customers' demand for superior quality products and services in the best possible way. With the new varieties and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the South and Central America artificial intelligence (AI) in healthcare market. The South and Central America artificial intelligence (AI) in healthcare market is expected to grow at a good CAGR during the forecast period. The growth of the market is attributed to some key driving factors such as rising application of artificial intelligence (AI) in healthcare, growing investment in AI healthcare startups, increasing cross-industry partnerships and collaborations fuel the growth of the market. However, dearth of skilled AI workforce and imprecise regulatory guidelines for medical software hinder the market growth. The rising investment in healthcare technologies, increasing incidences of infectious diseases, and government efforts to promote utilization of computing technologies to ease the healthcare processes are major factors contributing to the growth of the market.
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South and Central America Artificial Intelligence (AI) in Healthcare Market Segmentation
South and Central America Artificial Intelligence (AI) in Healthcare Market – By Component
- Software Solution
- Hardware
- Services
South and Central America Artificial Intelligence (AI) in Healthcare Market – By Application
- Robot Assisted Surgery
- Virtual Assistants
- Administrative Workflow Assistants
- Connected Machines
- Diagnosis
- Clinical Trials
- Fraud Detection
- Cybersecurity
- Dosage Error Reduction
- Others
South and Central America Artificial intelligence (AI) in healthcare Market – By End User
- Hospitals & Healthcare Providers
- Patients
- Pharma & Biotech Companies
- Healthcare Payers
- Others
South and Central America Artificial intelligence (AI) in healthcare Market – By Country
- Brazil
- Argentina
- Rest of South and Central America
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component, Application, End User, and Country
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Brazil, Argentina
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
1.3.1 South and Central America Artificial Intelligence in Healthcare Market – By Component
1.3.2 South and Central America Artificial Intelligence in Healthcare Market – By Application
1.3.3 South and Central America Artificial Intelligence in Healthcare Market – By End User
1.3.4 South and Central America Artificial Intelligence in Healthcare market – By Country
2. South and Central Artificial Intelligence in Healthcare Market – Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. South and Central America Artificial Intelligence in Healthcare – Market Landscape
4.1 Overview
4.2 PEST Analysis
4.2.1 Artificial Intelligence in Healthcare Market in South and Central America: PEST Analysis
4.3 Expert Opinions
5. Artificial Intelligence in Healthcare Market – Key Market Dynamics
5.1 Market Drivers
5.1.1 An Upsurge in the Application of Artificial Intelligence (AI) in Healthcare
5.1.2 Incrementing Investment in AI Healthcare Start ups
5.1.3 Increase in the number of Cross-Industry Partnerships and Collaborations
5.2 Market Restraints
5.2.1 Lack of Skilled AI Workforce and Imprecise Regulatory Guidelines for Medical Software
5.3 Market Opportunities
5.3.1 Escalating Potential in Emerging Economies
5.4 Future Trends
5.4.1 The Incorporation of AI in Epidemic Outbreak Prediction and Response
5.5 Impact Analysis
6. Artificial Intelligence in Healthcare Market – South and Central America Analysis
6.1 South and Central America Artificial Intelligence in Healthcare Market Revenue Forecast and Analysis
7. South and Central America Artificial Intelligence in Healthcare Market Analysis – 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. South and Central America Artificial Intelligence 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. South and Central America Artificial Intelligence 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. South and Central America Artificial Intelligence in Healthcare Market – Geographical Analysis
10.1 South and Central America: Artificial Intelligence in Healthcare Market
10.1.2 South and Central America: Artificial Intelligence in Healthcare Market Share by Country – 2019 & 2027, (%)
10.1.3 Brazil: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.3.1 Brazil: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.3.2 Brazil: Artificial Intelligence in Healthcare Market, by Component, 2018 -2027 (USD Million)
10.1.3.3 Brazil: Artificial Intelligence in Healthcare Market, by Application, 2018-2027 (USD Million)
10.1.3.4 Brazil: Artificial Intelligence in Healthcare Market, by End User, 2018-2027 (USD Million)
10.1.4 Argentina: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.4.1 Argentina: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.4.2 Argentina: Artificial Intelligence in Healthcare Market, by Component, 2018 -2027 (USD Million)
10.1.4.3 Argentina: Artificial Intelligence in Healthcare Market, by Application, 2018-2027 (USD Million)
10.1.4.4 Argentina: Artificial Intelligence in Healthcare Market, by End User, 2018-2027 (USD Million)
10.1.5 Rest of South and Central America: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.5.1 Rest of South and Central America: Artificial Intelligence in Healthcare Market- Revenue and Forecasts to 2027 (USD Million)
10.1.5.2 Rest of South and Central America: Artificial Intelligence in Healthcare Market, by Component, 2018 -2027 (USD Million)
10.1.5.3 Rest of South and Central America: Artificial Intelligence in Healthcare Market, by Application, 2018-2027 (USD Million)
10.1.5.4 Rest of South and Central America: Artificial Intelligence in Healthcare Market, by End User, 2018-2027 (USD Million)
11. Impact of COVID-19 Pandemic on South and Central America Artificial Intelligence in Healthcare Market
11.1 South and Central America: Impact Assessment of COVID-19 Pandemic
12. Artificial Intelligence (AI) in Healthcare Market –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 Profile
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
13.4.6 Key Developments
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, Artificial Intelligence in Healthcare Market
LIST OF TABLES
Table 1. Brazil Artificial Intelligence in Healthcare Market, by Component– Revenue And Forecast To 2027 (USD Million)
Table 2. Brazil Artificial Intelligence in Healthcare Market, by Application – Revenue and Forecast to 2027(USD Million)
Table 3. Brazil Artificial Intelligence in Healthcare Market, by End User – Revenue and Forecast to 2027(USD Million)
Table 4. Argentina Artificial Intelligence in Healthcare Market, by Component– Revenue And Forecast To 2027 (USD Million)
Table 5. Argentina Artificial Intelligence in Healthcare Market, by Application – Revenue and Forecast to 2027(USD Million)
Table 6. Argentina Artificial Intelligence in Healthcare Market, by End User – Revenue and Forecast to 2027(USD Million)
Table 7. Rest of South and Central America Artificial Intelligence in Healthcare Market, by Component– Revenue And Forecast To 2027 (USD Million)
Table 8. Rest of South and Central America Artificial Intelligence in Healthcare Market, by Application – Revenue and Forecast to 2027 (USD Million)
Table 9. Rest of South and Central America Artificial Intelligence in Healthcare Market, by End User – Revenue and Forecast to 2027 (USD Million)
Table 10. Recent Inorganic Growth Strategies in the Artificial Intelligence in Healthcare Market
Table 11. Recent Organic Growth Strategies in the Artificial Intelligence in Healthcare Market
Table 12. List of Abbreviation
LIST OF FIGURES
Figure 1. Artificial Intelligence in Healthcare Market Segmentation
Figure 2. South and Central America Artificial Intelligence in Healthcare Market Segmentation, By Country
Figure 3. South and Central America Artificial Intelligence in Healthcare Market Overview
Figure 4. Clinical Trials Segment by Application Segment Expected to Witness Rapid Growth
Figure 5. Brazil to Show Significant Growth During Forecast Period
Figure 6. Artificial Intelligence in Healthcare Market, by Geography (US$ Million)
Figure 7. South and Central America Artificial Intelligence in Healthcare Market, Industry Landscape
Figure 8. Artificial Intelligence in Healthcare Market in South and Central America: PEST Analysis
Figure 9. Artificial Intelligence in Healthcare Market Impact Analysis of Drivers and Restraints
Figure 10. South and Central America Artificial Intelligence in Healthcare Market – Revenue Forecast and Analysis – 2019- 2027
Figure 11. Artificial Intelligence in Healthcare Market Revenue Share, by Component (2019 and 2027)
Figure 12. Software Solution: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 13. Hardware: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 14. Services: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 15. Artificial Intelligence in Healthcare Market Revenue Share, by Application (2019 and 2027)
Figure 16. Robot Assisted Surgery: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 17. Virtual Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 18. Administrative Workflow Assistants: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 19. Connected Machines: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 20. Diagnosis: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 21. Clinical Trials: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 22. Fraud Detection: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 23. Cybersecurity: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 24. Dosage Error Reduction: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 25. Others: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 26. Artificial Intelligence in Healthcare Market, by End-User, 2019 and 2027 (%)
Figure 27. Hospitals & Healthcare Providers: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 28. Patients: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 29. Pharma and Biotech Companies: Artificial Intelligence in Healthcare Market – Revenue and Forecast to 2027 (US$ Million)
Figure 30. Healthcare Payers: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
Figure 31. Others: Artificial Intelligence in Healthcare Market– Revenue and Forecast to 2027 (US$ Million)
Figure 32. South and Central America: Artificial Intelligence in Healthcare Market, By Key Country – Revenue (2019) (USD Million)
Figure 33. South and Central America: Artificial Intelligence in Healthcare Market Share by Country – 2019 & 2027, (%)
Figure 34. Brazil: Artificial Intelligence in Healthcare Market- Revenue and Forecasts To 2027 (USD Million)
Figure 35. Argentina: Artificial Intelligence in Healthcare Market- Revenue and Forecasts To 2027 (USD Million)
Figure 36. Rest of South and Central America: Artificial Intelligence in Healthcare Market- Revenue And Forecasts To 2027 (USD Million)
Figure 37. Impact Of COVID-19 Pandemic in South and Central America Africa Country Markets
- 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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