AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market 2023 Share, Size, Key Players, Revenue Analysis | Prudent Markets

The AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market 2023 Report makes available the current and forthcoming technical and financial details of the industry. It is one of the most comprehensive and important additions to the Prudent Markets archive of market research studies. It offers detailed research and analysis of key aspects of the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, market. This report explores all the key factors affecting the growth of the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, market, including demand-supply scenario, pricing structure, profit margins, production, and value chain analysis.

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Report Description of the AI ML in Healthcare

Research Scope and Assumption

The report provides the market value for the base year 2020 and a yearly forecast up to 2028 in terms of revenue (USD billion)

The key industry dynamics, regulatory scenario, reimbursement scenario, major market trends, and drug markets are evaluated to understand their impacts on the demand for the forecast period. The growth rates were estimated using correlation, regression, and time-series analysis

We have used the combination of top-down and bottom-up approach for market sizing, analyzing key regional markets, dynamics, and trends for various solutions, services, and end uses

All market estimates and forecasts have been validated through primary interviews with the Key Industry Players (KIPs) and secondary analysis

Inflation has not been accounted for in order to estimate and forecast the market

Numbers may not add up due to rounding off

Research Objective:

To analyze and forecast the market size of US AI ML in Healthcare market

To classify and forecast US AI ML in Healthcare market based on application, drugs, project type, and application.

To identify drivers and challenges for US AI ML in Healthcare market

To examine competitive developments such as mergers and acquisitions, agreements, collaborations and partnerships, etc., in US AI ML in Healthcare market

To conduct pricing analysis for US AI ML in Healthcare market

To identify and analyze the profile of leading players operating in US AI ML in Healthcare market

Reason to Buy the Report:

Facilitate decision-making based on strong current and forecast data for AI ML in Healthcare

Develop strategies based on the latest regulatory framework

Strategically analyze micro-markets with respect to individual growth trends, future prospects, and their contribution to the market

Analyze competitive developments such as expansions, investments, mergers & acquisitions, new product developments, and research & developments in the AI ML in Healthcare

Analyze the opportunities in the market for stakeholders and draw a competitive landscape for market leaders

To strategically profile key players and comprehensively analyze their market shares and core competencies

We have technically sound team which do a deep dive research and also provide strategy based consulting analysis

AI ML in Healthcare in US Executive Summary

Artificial intelligence (AI) is the creation of intelligent systems that can perform tasks without human interventions and instructions. It is the constellation of different technologies such as natural language processing, machine learning, perception and reasoning. These systems use computer algorithms, and huge amount of data to provide a response to a request. AI is being adopted in healthcare using algorithm and software for the analysis of medical data with a view to predict diseases and provide proper medication. It will lead to personalization and optimization leading to improved outcomes for both patients and healthcare systems. A basic AI computer used today in clinical practices can be used for alerts and reminder, diagnostic, therapy planning, Information retrieval and image interpretation. However, glitches in communication and technical infrastructure are amongst the barriers to the growth of AI in health care

Market Size and Key Findings

The AI ML in Healthcare size is at around USD xx billion in 2020 and is projected to reach USD xx billion by 2028, exhibiting a CAGR of 41.8% during the forecast period

Growing technological advancements coupled with an increasing need for efficient and innovative solutions to enhance clinical and operational outcomes is contributing to market growth. The pressure for cutting down spending is rising globally as the cost of healthcare is growing faster than the growth of economies. Advancements in healthcare IT present opportunities to cut down spending by improving care delivery and clinical outcomes. Thus, the demand for AI technologies is expected to increase in the coming years

Market Dynamics

Market Growth Drivers Analysis

The growth of the Artificial intelligence in healthcare market is majorly driven Technological Advances in robotic solutions for more types of surgery, Prevalence of medical errors which leads to tangible penalties, Proliferation of Connected Machines /Devices, storage capacity; greater trust in AI Technology and Interoperability/ data architecture to enhance accuracy.

Market Restraints

Some of the factors hindering the growth of the market includes the High Cost of AI Technologies, Integrating AI into the organization, data challenges, lack of executive commitments. And also, choosing the right AI technologies is one of the barriers in market growth

COVID-19 impact on "AI ML in Healthcare

The recent outbreak of COVID-19 has had a positive impact on the market led by the growing awareness and adoption of digital health. Industry can be adopted to gain insights to wider picture of the situation from diagnosis, treatment and to combat new disease transmission. Healthcare artificial intelligence is an innovative technology which has been widely used to fight COVID-19 pandemic. Moreover, to keep a continuous tab on patients during COVID-19 pandemic with effective management, UC San Diego Health has developed an algorithm based on artificial intelligence for more than 2,000 lung X-ray images, helping radiologist to detect early sign of pneumonia in COVID-19 patients

Competitive Landscape

Key Players

The AI ML in Healthcare study report will provide valuable insights with an emphasis on the US market including some of the key market players such as as IBM, Microsoft, Google, NVIDIA, Intel, GE Healthcare, and Johnson & Johnson

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and revenue analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players

Notable Recent Deals

Telehealth giant Teladocs acquire Livongo. The deal created a digital health behemoth that combines one of the largest telehealth companies with a platform for managing chronic conditions

Healthcare Policies and Regulatory Landscape

Policy changes and Reimbursement scenario

HIPPA Act- The major goal of the Privacy Rule is to ensure that individuals health information is properly protected while allowing the flow of health information needed to provide and promote high quality health care. Also, HITECH Act was created to promote and expand the adoption of health information technology, specifically, the use of electronic health records (EHRs) by healthcare providers. Also, FDA is introducing action plan for artificial intelligence/ machine learning based software as a medical device (SaMD) which will eventually help in Patient-Centered Approach Incorporating Transparency to Users
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AI ML in Healthcare Segmentation

By Components:

Below mentioned products are the pillars of AI ML in Healthcare which are widely used:

Software Solutions
Hardware
Services

By Application:
Robot Assisted Surgery
Virtual Assistants
Administrative Workflow Assistants
Connected Machines
Diagnosis
Clinical Trials
Fraud Detection
Cybersecurity

From the above-mentioned Application type, the clinical trials segment dominated the AI in healthcare market and accounted for the largest revenue share.

By End-users:

Hospitals & Healthcare Providers
Patients
Pharmaceuticals & Biotechnology Companies
Healthcare Payers

Others (ACOS and MCOS).
Highlighted Segments of AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market:

Industry Overview: The first section of the research study covers an overview of the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market, market status and prospects, and product range. In addition, it provides highlights of the major segments of the global Market, i.e., region, type, and application segments.

Competitive Analysis: This report illuminates important mergers and acquisitions, business expansion, product or service differences, market concentration, the competitive status of the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market, and market size by player.

Company Profiles and Key Data: This section covers companies profiling the major players in the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market based on the aforementioned revenue, products, business, and other factors.

Market size by type and application: In addition to providing an in-depth analysis of the industry size by type and application, this section provides research on top end users or consumers and potential applications.

Market Dynamics: This report covers the drivers, trends, and opportunities of the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market. This section also includes Porter's analysis of five forces.

Findings and Conclusions: It provides strong recommendations for new as well as established players for securing a position of strength in the global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market.

Prudent Markets provides attractive discounts that fit your needs. Customization of the reports as per your requirement is also offered. Get in touch with our sales team, who will guarantee you a report that suits your needs.

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The report covers the competitive analysis of the market. As the demand is driven by a buyer's paying capacity and the rate of item development, the report shows the important regions that will direct growth. This section exclusively shares insight into the budget reports of big-league members of the market helping key players and new entrants understand the potential of investments in the Global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market. It can be better employed by both traditional and new players in the industry for complete know-how of the market.

Strategic Points Covered in Table of Content of Global AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, market
Chapter 2: Exclusive Summary - the basic information of the AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth,
Chapter 4: Presenting the AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country
Chapter 6: Evaluating the leading manufacturers of the AI ML in Healthcare in US : Segmented by Product, Procedure, Application and End users - Growth, market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

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