Global Ai in Hospital Management Market Overview:
Healthcare management systems assist hospitals, clinics, and other medical practises in running all of their administrative processes. This includes scheduling, admissions, electronic medical records (EMR), accounting, payroll, medical billing, claim submission, and meeting high security and technical standards. Artificial intelligence (AI) technologies are making inroads into healthcare, as they become more common in modern business and daily life. Artificial intelligence has the potential to assist healthcare providers with a wide range of duties, including patient care and administrative tasks. Although the bulk of AI and healthcare technologies have a strong link to the healthcare industry, the tactics they assist can differ significantly. In healthcare, deep learning-based artificial intelligence is also employed for speech recognition via natural language processing (NLP).
Attributes | Details |
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Study Period | 2018-2030 |
Base Year | 2023 |
Forecast Period | 2024-2030 |
Historical Period | 2018-2023 |
Unit | Value (USD Million) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility |
Influencing Trend:
Technological Advancements of AI Neural Network in Healthcare Biometrics and Rapid Development of Cybernetics in Healthcare
Market Growth Drivers:
Increasing Efficiency Improvements and Reducing Risks in Hospital Operations and Rapid Adoption of AI Technology in Genomics
Challenges:
High Cost of AI Solutions and Risk of Data Theft Could Hamper the Market Growth
Restraints:
AI Integration and Implementation Issues
Opportunities:
Growing Usage of AI and ML Solutions in Healthcare Sector and Rise in Demand for AI in Drug Discovery and Medical Imaging
Competitive Landscape:
The demand for Ai in Hospital Management is increasing. The industry is segmented, but it is predicted to grow as rise in Ai Technology such as Machine Learning and NLP, among other factors, drive the market forward. Businesses in this sector face global competition from market leaders who control a large share of the market. Companies are differentiating their products from competition by employing environmentally friendly materials and manufacturing techniques. The Leading Players are engaging in strategic global expansion to maintain their Market Position.
Some of the key players profiled in the report are Microsoft Corporation (United States), Google (United States), Intel Health (United States), IBM Watson Health (United States), IQVIA (United States), Deloitte (United States), Optum (United States), Babylon Health (United Kingdom), Kellton Tech (India) and Happiest Minds Technologies (India). Additionally, following companies can also be profiled that are part of our coverage like PathAI, Inc. (United States), Buoy Health, Inc. (United States) and Nano X Imaging (Israel). Analyst at AMA Research see United States Players to retain maximum share of Global Ai in Hospital Management market by 2030. Considering Market by Category, the sub-segment i.e. Patient-oriented AI will boost the Ai in Hospital Management market. Considering Market by Technology, the sub-segment i.e. Machine Learning will boost the Ai in Hospital Management market. Considering Market by Type of Operation, the sub-segment i.e. Clinical will boost the Ai in Hospital Management market.
Latest Market Insights:
In January 2024, GE HealthCare has acquired MIM Software Inc., a Cleveland-based provider of imaging analysis software for radiology and other specialties. The caquistion strghten the companys growth.
In February 2021 IBM announced collaboration with Humana. Humana will be able to employ IBM Watson Assistant for Health Benefits, an AI-enabled virtual agent produced in the IBM Watson Health cloud, as a result of this cooperation. At first, the service will be available to all 1.3 million Employer Group medical members and 1.8 million Employer Group dental members.
What Can be Explored with the Ai in Hospital Management Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global Ai in Hospital Management Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in Ai in Hospital Management
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Ai in Hospital Management market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Ai in Hospital Management market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Venture and Capitalist, New entrants/investors, Analysts and Strategic Business Partners, Clinics, Hospitals and End-use industries.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.