Global Artificial Intelligence HealthCare Market Insights, Size and Growth Forecast To 2027

Global Artificial Intelligence HealthCare Market by Offering (Hardware, Software and Services), By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer), and By Region (North America, Europe, Asia Pacific, South America, Middle East, and Africa)

Published: Feb-2020	Report ID: HLCA2012	Pages: 1 - 250	Formats^*:
Category : Healthcare

Global Artificial Intelligence Healthcare market anticipated triggering by rising application in healthcare and reduction in time for identifying the diseases and maintaining data of patients. The global Healthcare Artificial Intelligence market expected to grow with a substantial rate in the forecast period, 2020-2027. Artificial intelligence has quickly become the main topic of discussion among healthcare professionals, vendors, and IT developers. Experts in the medical and related fields have explored many applications of AI technology and recognized its potential advantages for future medical services: faster medical diagnosis, improved reading accuracy, reduced doctor workload. Owing to these capabilities, it provides more precise treatments, improves patient outcomes, and ultimately reduces care costs, which help in increasing the growth of the healthcare AI market.

Artificial intelligence tools are capable of reducing the administrative burden of the healthcare sector by managing real-time data in the least possible time with the highest accuracy and security. Moreover, artificial intelligence tools help in managing health care management tools effectively by designing treatment plans, assisting in repetitive tasks, medication management, and drug discovery and can also be used for collecting, storing, and normalizing the data.

Further, artificial intelligence (AI) is increasingly being used to improve the depth of data analysis capabilities and automate key healthcare services. Earlier, the shortage of medical resources makes it difficult for doctors to obtain the patient's condition after leaving the clinic, and the patient cannot know the progress of the disease promptly. The need for health management by doctors and patients is equally urgent, especially in the field of chronic diseases.

As technology advances, portable medical-grade sensors can quickly and accurately obtain human data. The edge computing framework of intelligent portable sensors has low latency and near real-time feedback, and patients and doctors can promptly know the situation. Therefore, considering the advantage of AI in the healthcare sector will witness the potential demand in the forecast period.

Offerings Overview in the Artificial Intelligence Healthcare Market

Based on offering, the global Healthcare Artificial Intelligence market segmented into Hardware, Software, and Services. The hardware segment expected to boost future market growth due to continuous improvement in the software as it helps in the early-stage detection of chronic diseases and helps in getting treatment and prevention of the patients on time.

Technology Overview in the Global Artificial Intelligence Healthcare market

Based on technology, the global Healthcare Artificial Intelligence market segmented into Machine Learning, NLP, Context-Aware Computing, and Computer Vision. Machine learning has captured a more significant market segment compared to others in 2019. Additionally, machine learning helps in reducing the timeframe of any task and also maintains data in real-time. Therefore, the machine learning segment is expected to witness the largest market share in the future market.

Application Overview in the global Artificial Intelligence Healthcare Market

Based on application, the market segmented into Robot-assisted Surgery, Virtual Nursing Assistant, Dosage Error Reduction, Administrative Workflow Assistance, Fraud Detection, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others. Dosage Error reduction will witness a significant market share in the forecast period. Owing to, reduce the hospital error of medication to the patients as, according to the National safety council, 40,000 deaths are caused due to hospital errors and lead to the third-largest cause for death.

End-users Overview in the global Artificial Intelligence Healthcare Market

Based on End-users, the global Healthcare Artificial Intelligence market categorized into Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer. The pharmaceuticals and Biotechnology company segment has witnessed the most significant market growth in 2019 and will continue to grow in the forecast period. It is owing to factors like the early detection of chronic diseases and a secure healthcare management system.

Regional Overview in the global Artificial Intelligence Healthcare Market

Based on geography, the global Healthcare Artificial Intelligence market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America has captured the major market share in the healthcare AI market in 2019. Due to increasing environmental pollution has caused various chronic diseases which are affecting the lives of people across North America. Thus, the healthcare AI sector expected to maintain its dominance throughout the forecast period.

Global Artificial Intelligence Healthcare Market: Competitive Landscape

Companies such as NVIDIA, Intel, IBM, Google, Microsoft, AWS, General Vision, GE Healthcare, Siemens Healthineers, and other Prominent Players are in the healthcare artificial intelligence market.

1. Research Strategic Development

1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation

2. Research Methodology

2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation

3. Executive Summary

4. Market Insights

4.1. Economic Factor Analysis
4.1.1. Drivers
4.1.2. Trends
4.1.3. Opportunities
4.1.4. Challenges
4.2. Competitors & Product Analysis
4.3. Regulatory Framework
4.4. Company market share analysis, 2019
4.5. Porterâ€™s Five forces analysis
4.6. New Investment Analysis
4.7. PESTEL Analysis

5. Global Artificial Intelligence HealthCare Market Overview

5.1. Market Size & Forecast, 2020-2027
5.1.1. By Value (USD Million)
5.2. Market Share & Forecast, 2020-2027
5.2.1. By Offering (Hardware, Software and Services)
5.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
5.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
5.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
5.2.5. By Region
5.2.5.1. Europe
5.2.5.2. North America
5.2.5.3. Asia Pacific
5.2.5.4. South America
5.2.5.5. Middle East & Africa

6. Europe Artificial HealthCare Intelligence Market Overview

6.1. Europe Artificial HealthCare Intelligence Market Size & Forecast, 2020-2027
6.1.1. By Value (USD Million)
6.2. Europe Artificial HealthCare Intelligence Market Share & Forecast, 2020-2027
6.2.1. By Offering (Hardware, Software and Services)
6.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
6.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
6.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
6.2.5. By Country
6.2.5.1. Germany
6.2.5.2. UK
6.2.5.3. France
6.2.5.4. Italy
6.2.5.5. Rest of Europe
6.2.6. Company Market Share (Top 3-5)
6.2.7. Economic Impact Study on North America Artificial HealthCare Intelligence Market

7. North America Artificial HealthCare Intelligence Market Overview

7.1. North America Artificial HealthCare Intelligence Market Size & Forecast, 2020-2027
7.1.1. By Value (USD Million)
7.2. North America Artificial HealthCare Intelligence Market Share & Forecast, 2020-2027
7.2.1. By Offering (Hardware, Software and Services)
7.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
7.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
7.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
7.2.5. By Country
7.2.5.1. US
7.2.5.2. Canada
7.2.5.3. Mexico
7.2.6. Company Market Share (Top 3-5)
7.2.7. Economic Impact Study on Europe Artificial HealthCare Intelligence Market

8. Asia Pacific Artificial HealthCare Intelligence Market Overview

8.1. Asia Pacific Artificial HealthCare Intelligence Market Size & Forecast, 2020-2027
8.1.1. By Value (USD Million)
8.2. Asia Pacific Artificial HealthCare Intelligence Market Share & Forecast, 2020-2027
8.2.1. By Offering (Hardware, Software and Services)
8.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
8.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
8.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
8.2.5. By Country
8.2.5.1. China
8.2.5.2. India
8.2.5.3. Japan
8.2.5.4. Australia
8.2.5.5. Rest of Asia Pacific
8.2.6. Company Market Share (Top 3-5)
8.2.7. Economic Impact Study on Asia Pacific Artificial HealthCare Intelligence Market

9. South America Artificial HealthCare Intelligence Market Overview

9.1. South America Artificial HealthCare Intelligence Market Size & Forecast, 2020-2027
9.1.1. By Value (USD Million)
9.2. South America Artificial HealthCare Intelligence Market Share & Forecast, 2020-2027
9.2.1. By Offering (Hardware, Software and Services)
9.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
9.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
9.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
9.2.5. By Country
9.2.5.1. Brazil
9.2.5.2. Argentina
9.2.5.3. Rest of South America
9.2.6. Company Market Share (Top 3-5)
9.2.7. Economic Impact Study on South America Artificial HealthCare Intelligence Market

10. Middle East & Africa Artificial HealthCare Intelligence Market Overview

10.1. Middle East & Africa Artificial HealthCare Intelligence Market Size & Forecast, 2020-2027
10.1.1. By Value (USD Million)
10.2. Middle East & Africa Artificial HealthCare Intelligence Market Share & Forecast, 2020-2027
10.2.1. By Offering (Hardware, Software and Services)
10.2.2. By Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision)
10.2.3. By End-User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer)
10.2.4. By Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others)
10.2.5. By Country
10.2.5.1. Saudi Arabia
10.2.5.2. UAE
10.2.5.3. South Africa
10.2.5.4. Rest of Middle East & Africa
10.2.6. Company Market Share (Top 3-5)
10.2.7. Economic Impact Study on Middle East & Africa Artificial HealthCare Intelligence Market

11. Competitor Analysis

11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company Profile
11.7.1. NVIDIA
11.7.2. Intel
11.7.3. IBM
11.7.4. Google
11.7.5. Microsoft
11.7.6. AWS
11.7.7. General Vision
11.7.8. GE Healthcare
11.7.9. Siemens Healthineers
11.7.10. Other Prominent Players

SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

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