The ‘ AI in Healthcare market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, AI in Healthcare market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, AI in Healthcare market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence.
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The AI in healthcare market was valued at $4,836.87million in 2019 and is projected to reach $99,491.58 million by 2027, registering a CAGR of 42.8% from 2020 to 2027.Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery.
The growth of the AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments. In addition, rise in importance of big data in healthcare is expected to fuel the market growth.
The market is expected to witness a moderate growth during the forecast period, owing to rise in adoption of AI systems. Furthermore, technological advancements in AI systems are anticipated to augment the market growth. Prospective of AI-based tools for elderly care and the untapped potential of emerging markets, such as China and India, are expected to present various opportunities for market expansion. However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.
The AI in healthcare market is segmented based on offering, algorithm, application, end user, and region. On the basis of offering, the market is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. The application segment includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. Depending on end user, the market is fragmented into healthcare providers, pharmaceutical & Biotechnology Companies, patients, and payer. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
KEY BENEFITS FOR STAKEHOLDERS
This report entails a detailed quantitative analysis of the current market trends and future estimations from 2019 to 2027 to identify the prevailing opportunities.
Market estimations are based on comprehensive analysis of the key developments in the industry.
The global market is comprehensively analyzed with respect to offering, algorithm, application, end user, and region.
In-depth analysis based on region assists to understand the regional market to assist in strategic business planning.
The development strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market.
Key Segments Studied in the Global AI in Healthcare Market
Professional Key players: Alphabet Inc., Enlitic Inc, General Vision, iCarbonX, Intel Corporation, IBM Corporation, Microsoft Corporation, Nvidia Corporation, Next IT Corp and Welltok Inc. |
Market Segmentation: |
AI in Healthcare Market by Offering (Hardware, Software, and Services), Algorithm (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing) Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), and End user (Healthcare Providers, Pharmaceutical & Biotechnology Companies, Patients, and Payer) |
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
covid-19 scenario | Market Behavior/ Level of Risk and Opportunity | End Industry Behavior/ Opportunity Assessment | Expected Industry Recovery Timeline | Business Impact Horizon |
Opening of Economy by Q3 2020 | xx | xx | xx | xx |
Recovery – Opening of Economy extended till Q4 2020 / Q1 2021 | xx | xx | xx | xx |
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Changing Forecasts in a Time of Crisis: explores key issues, including:
Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis
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Key Points Covered in AI in Healthcare Market Report:
Chapter 1, to describe Definition, Specifications and Classification of Global AI in Healthcare, Applications of , Market Segment by Regions;
Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, to analyze the Consumers Analysis of Global AI in Healthcare by region, type and application;
Chapter 12, to describe AI in Healthcare Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, to describe AI in Healthcare sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
Continued….
……..and view more in complete table of Contents
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