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Global Healthcare Quality Management Software Market to reach USD 3.0 billion by the end of 2030.

Global Healthcare Quality Management Software Market Size study & Forecast, by Type (Business intelligence and Data analytics solutions, Clinical risk management solutions, Physician quality reporting solutions, Provider performance improvement solutions) by Application (Data Management, Risk Management, Others), by deployment (Cloud-based, On-premises, Web Based), by Distribution Channel (Hospitals, Ambulatory surgery centres, Nursing homes, Others) and Regional Analysis, 2023-2030

Product Code: HLSHIT-26405805
Publish Date: 20-07-2023
Page: 200

Global Healthcare Quality Management Software Market is valued approximately at USD 1.1 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 13.24% over the forecast period 2023-2030. The Healthcare Quality Management Software Market refers to the segment of the healthcare industry that encompasses software solutions designed to streamline and improve quality management processes in healthcare organizations. These software platforms provide tools and functionalities to assist in areas such as compliance with regulations, risk management, patient safety, performance improvement, and data analysis, ultimately leading to enhanced quality of care and operational efficiency within healthcare facilities. The Healthcare Quality Management Software Market is driven by factors such as increasing mediation errors and increasing medical tourism.

These software systems typically offer a range of features and functionalities to support activities such as quality assessment and performance monitoring. According to a 2022 study published by MDPI, medication errors among nurses were found to be prevalent, with a rate of 72.1%. However, the study revealed that only 41.2% of these errors were actually reported. Along with that a study published in the Saudi Pharmaceutical Journal, conducted in a central hospital in Saudi Arabia, identified a total of 4,860 medication errors that occurred between 2018 and 2020. . Thus, increasing errors in mediation is fueling the growth of the market. In addition, aging population and technology advancement in quality management software create lucrative opportunities for the market. However, the concern of data security and privacy hinders the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Healthcare Quality Management Software Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing acceptance of healthcare quality management software and increasing product launch in the region. Asia Pacific is considered as the fastest growing region during the forecasted period due to increasing numbers of hospitals, increasing healthcare spending and aging population.

Major market player included in this report are:
MorCare Plc
Karminn Consultancy Network
Intelex Technologies
EFFIVITY Technology Pvt. Ltd.
Okkala Solutions Private Limited
MEG corporation
Premier, Inc.
Qualityze Inc.
Title21 Software, Inc.
OdiTek Solutions
Ideagen Plc.

Recent Developments in the Market:
Ø In February 2022, Hexagon AB has acquired ETQ, a SaaS-based QMS software provider, to bolster its market position by incorporating a QMS software platform into its offerings. Meanwhile, Crothall Healthcare and Intelex collaborated to create “team quest,” a web-based QMS platform aimed at enhancing quality management processes in hospitals.

Global Healthcare Quality Management Software Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Application, Deployment, End use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Business intelligence and Data analytics solutions
Clinical risk management solutions
Physician quality reporting solutions
Provider performance improvement solutions

By Application:
Data Management
Risk Management
Others

By Deployment:
Cloud-based
On-premises
Web Based
By End Use:
Hospitals
Ambulatory surgery centres
Nursing homes
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Healthcare Quality Management Software Market, by region, 2020-2030 (USD Billion)
1.2.2. Healthcare Quality Management Software Market, by Type, 2020-2030 (USD Billion)
1.2.3. Healthcare Quality Management Software Market, by Application, 2020-2030 (USD Billion)
1.2.4. Healthcare Quality Management Software Market, by Deployment, 2020-2030 (USD Billion)
1.2.5. Healthcare Quality Management Software Market, by End Use, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Healthcare Quality Management Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Healthcare Quality Management Software Market Dynamics
3.1. Healthcare Quality Management Software Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing mediation failures
3.1.1.2. Increasing medical tourism.
3.1.2. Market Challenges
3.1.2.1. Concern of data security and privacy.
3.1.3. Market Opportunities
3.1.3.1. Aging population
3.1.3.2. Technology advancement in quality management software.
Chapter 4. Global Healthcare Quality Management Software Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Healthcare Quality Management Software Market, by Type
5.1. Market Snapshot
5.2. Global Healthcare Quality Management Software Market by Type, Performance – Potential Analysis
5.3. Global Healthcare Quality Management Software Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Healthcare Quality Management Software Market , Sub Segment Analysis
5.4.1. Business intelligence and Data analytics solutions
5.4.2. Clinical risk management solutions
5.4.3. Physician quality reporting solutions
5.4.4. Provider performance improvement solutions
Chapter 6. Global Healthcare Quality Management Software Market, by Application
6.1. Market Snapshot
6.2. Global Healthcare Quality Management Software Market by Application, Performance – Potential Analysis
6.3. Global Healthcare Quality Management Software Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Healthcare Quality Management Software Market , Sub Segment Analysis
6.4.1. Data Management
6.4.2. Risk Management
6.4.3. Others
Chapter 7. Global Healthcare Quality Management Software Market, by Deployment
7.1. Market Snapshot
7.2. Global Healthcare Quality Management Software Market by Deployment, Performance – Potential Analysis
7.3. Global Healthcare Quality Management Software Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
7.4. Healthcare Quality Management Software Market , Sub Segment Analysis
7.4.1. Cloud-based
7.4.2. On-premises
7.4.3. Web Based
Chapter 8. Global Healthcare Quality Management Software Market, by End Use
8.1. Market Snapshot
8.2. Global Healthcare Quality Management Software Market by End Use, Performance – Potential Analysis
8.3. Global Healthcare Quality Management Software Market Estimates & Forecasts by End Use 2020-2030 (USD Billion)
8.4. Healthcare Quality Management Software Market , Sub Segment Analysis
8.4.1. Hospitals
8.4.2. Ambulatory surgery centres
8.4.3. Nursing homes
8.4.4. Others
Chapter 9. Global Healthcare Quality Management Software Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Healthcare Quality Management Software Market , Regional Market Snapshot
9.4. North America Healthcare Quality Management Software Market
9.4.1. U.S. Healthcare Quality Management Software Market
9.4.1.1. Type breakdown estimates & forecasts, 2020-2030
9.4.1.2. Application breakdown estimates & forecasts, 2020-2030
9.4.1.3. Deployment breakdown estimates & forecasts, 2020-2030
9.4.1.4. End Use breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Healthcare Quality Management Software Market
9.5. Europe Healthcare Quality Management Software Market Snapshot
9.5.1. U.K. Healthcare Quality Management Software Market
9.5.2. Germany Healthcare Quality Management Software Market
9.5.3. France Healthcare Quality Management Software Market
9.5.4. Spain Healthcare Quality Management Software Market
9.5.5. Italy Healthcare Quality Management Software Market
9.5.6. Rest of Europe Healthcare Quality Management Software Market
9.6. Asia-Pacific Healthcare Quality Management Software Market Snapshot
9.6.1. China Healthcare Quality Management Software Market
9.6.2. India Healthcare Quality Management Software Market
9.6.3. Japan Healthcare Quality Management Software Market
9.6.4. Australia Healthcare Quality Management Software Market
9.6.5. South Korea Healthcare Quality Management Software Market
9.6.6. Rest of Asia Pacific Healthcare Quality Management Software Market
9.7. Latin America Healthcare Quality Management Software Market Snapshot
9.7.1. Brazil Healthcare Quality Management Software Market
9.7.2. Mexico Healthcare Quality Management Software Market
9.8. Middle East & Africa Healthcare Quality Management Software Market
9.8.1. Saudi Arabia Healthcare Quality Management Software Market
9.8.2. South Africa Healthcare Quality Management Software Market
9.8.3. Rest of Middle East & Africa Healthcare Quality Management Software Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. MorCare Plc
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. Karminn Consultancy Network
10.3.3. Intelex Technologies
10.3.4. EFFIVITY Technology Pvt. Ltd.
10.3.5. Okkala Solutions Private Limited
10.3.6. MEG corporation
10.3.7. Premier, Inc.
10.3.8. Qualityze Inc.
10.3.9. Title21 Software, Inc.
10.3.10. OdiTek Solutions
10.3.11. Ideagen Plc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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