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Report

Big Data in Healthcare Market Report and Forecast 2025-2034

Market Report I 2025-06-20 I 400 Pages I EMR Inc.

The global big data in healthcare market was valued at USD 31.46 Billion in 2024 driven by the increasing geriatric population and integration of technological advancements in the healthcare sector across the globe. It is expected to grow at a CAGR of 14.50% during the forecast period of 2025-2034 and attain a market value of USD 121.85 Billion by 2034.

Big Data in Healthcare Market Overview

Big data in healthcare refers to the vast volumes of structured and unstructured data generated from various sources, including electronic health records (EHRs), medical devices, clinical trials, genomic studies, and patient wearables. This data is analysed using advanced technologies like artificial intelligence, machine learning, and predictive analytics to identify patterns, enhance decision-making, and improve patient care. It enables personalised medicine, optimises healthcare delivery, and supports research for disease prevention and treatment. Challenges include ensuring data privacy, security, and interoperability. By harnessing big data effectively, healthcare systems can reduce costs, improve outcomes, and advance medical innovation.

Big Data in Healthcare Market Growth Drivers

Collaborative Digital Health Initiatives Foster Big Data Growth in Healthcare

The market is propelled by factors such as the growing adoption of digital health technologies and the increasing demand for data-driven healthcare solutions to improve patient care. For instance, In July 2024, WHO/Europe launched the Strategic Partners' Initiative for Data and Digital Health (SPI-DDH), which unites the 53 Member States of the WHO European Region and key stakeholders in digital health. This collaborative initiative seeks to address the challenges of digital health system transformation, ensuring that all patients and healthcare professionals benefit from safe, affordable, and patient-centric digital health technologies. The establishment of this network is poised to accelerate the integration of big data technologies across healthcare systems, fostering big data in healthcare market boost by enhancing data sharing, improving healthcare delivery, and driving innovations in predictive analytics, which will be key drivers of big data adoption in the healthcare sector in the coming years.

Increasing Fundings to Significantly Support Big Data in Healthcare Market Demand

The market growth is expected to be influenced by the increased funding events among key players. For instance, in February 2023, ShiftMed, a mobile app that connects healthcare workers and providers, confirmed USD 200 million in fresh funding to fuel growth as investors continue to invest more in healthcare staffing companies. Such investments are expected to influence the market growth in the forecast period as these software apps use advanced technologies such as big data to process all the data of every worker they are employing and process it regularly. These approaches are anticipated to boost market growth in the forecast period.

Strategic Acquisitions to Play a Pivotal Role in Big Data in Healthcare Market Development

The market is highly influenced by the increasing interest, investments, and adaptation of advanced technologies in the healthcare sector, bolstering the global big data in healthcare market growth. For instance, In November 2023, Thoma Bravo, a leading software investment firm acquired NextGen Healthcare, Inc. ("NextGen Healthcare" or the "Company"), a leading provider of innovative, cloud-based healthcare technology solutions, for USD 1.8 billion. With the completion of the transaction, NextGen Healthcare shareholders are entitled to receive USD 23.95 per share in cash. This investment by Thoma Bravo may enable NextGen Healthcare to share resources and develop better software solutions in healthcare such as enhancing data analytics capabilities within their platforms and leveraging big data to drive insights and improvements in patient care, operational efficiency, and decision-making.

Big Data in Healthcare Market Trends

The market is witnessing several trends and developments to improve the current scenario. Some of the notable trends are as follows:

AI and Machine Learning Integration Driving Growth

AI and machine learning technologies are becoming increasingly integrated with Big Data analytics in healthcare. These tools enable healthcare professionals to gain deeper insights from vast datasets, enhancing clinical decision-making and operational efficiency. AI algorithms can identify patterns in patient data, helping in predictive analytics for early disease detection and personalised treatments. Machine learning, when applied to Big Data, facilitates the automation of diagnostic processes, improves accuracy, and enables real-time monitoring of patients. As healthcare systems evolve towards value-based care, the reliance on AI-powered Big Data solutions is expected to expand, driving market growth.

Increasing Investment in Big Data-Driven Healthcare Staffing Solutions to Augment Big Data in Healthcare Market Size

In February 2023, ShiftMed secured USD 200 million in funding to expand its mobile app, which connects healthcare workers and providers. Such investments highlight the growing reliance on big data technologies to streamline healthcare staffing. By leveraging big data, these platforms efficiently process vast amounts of worker data, including availability, credentials, and compliance, enabling real-time decision-making and optimisation of staffing resources. This trend underscores the value of big data in improving operational efficiency and workforce management in healthcare. With rising demand for efficient staffing solutions, such approaches are poised to drive significant market growth in the forecast period.

Investment in IT Infrastructure Boosting Big Data in Healthcare Market Value

Healthcare providers are investing heavily in IT infrastructure to support Big Data integration, leading to increased market value. Cloud computing, data warehouses, and advanced analytics platforms are central to managing and processing large volumes of healthcare data. This investment is critical for improving data accessibility, interoperability, and the speed of analysis. Governments and private entities are recognising the importance of modernising healthcare IT systems to enable data-driven healthcare. These investments not only help streamline operations but also improve patient care, accelerating the adoption of big data analytics. The healthcare IT infrastructure market is therefore poised for rapid growth.

Enhanced Data Security and Compliance Strategies Driving Big Data in Healthcare Market Expansion

With the increasing volume of sensitive healthcare data being processed, the need for robust security and regulatory compliance has become a key trend in the Big Data market. Healthcare data breaches and privacy concerns are prompting stronger safeguards and technologies to protect patient information. Organisations are focusing on adopting encryption methods, secure cloud solutions, and data access controls to ensure compliance with laws like HIPAA and GDPR. Furthermore, the rising implementation of blockchain technology in healthcare offers decentralised, secure data storage. As the demand for data protection rises, this trend will drive further market expansion and shape the future of healthcare data management.

Big Data in Healthcare Market Segmentation

Big Data in Healthcare Market Report and Forecast 2025-2034 offers a detailed analysis of the market based on the following segments:

Market Breakup by Product

- Software
??- Electronic Health Record Software
??- Practice Management Software
??- Workforce Management Software
??- Others

- Services

Market Breakup by Mode of Deployment

- On - Premises
- Cloud

Market Breakup by Analytics Type

- Descriptive
- Predictive
- Prescriptive

Market Breakup by Applications

- Clinical Data Analytics
- Financial Analytics
- Operational Analytics

Market Breakup by End User

- Hospitals and Clinics
- Finance and Insurance Agencies
- Research Organizations
- Others

Market Breakup by Region

- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa

Big Data in Healthcare Market Share

Software Segment to Lead the Product Segment

The software segment dominates the market, driven by the widespread adoption of electronic health records (EHRs) and practice management tools. These solutions enable efficient data collection, integration, and analysis, meeting the demand for digitised healthcare workflows. The growing need for workforce and operational management software further fuels this segment's growth. With continuous innovations and increasing healthcare IT budgets, software solutions will remain central to enhancing patient outcomes and operational efficiency. As organisations strive for advanced analytics and interoperability, the software segment is poised to maintain its leadership and drive market growth in the forecast period.

Cloud Deployment Mode to Dominating the Big Data in Healthcare Market Segmentation

Cloud deployment will likely hold a significant share due to its scalability, cost-effectiveness, and ease of integration. Healthcare providers prefer cloud solutions for real-time data access, collaboration, and reduced infrastructure costs. Cloud-based systems are also pivotal in ensuring business continuity and remote healthcare services, particularly post-pandemic. The rising adoption of advanced analytics and AI-powered tools on cloud platforms further strengthens this segment's position. As data security measures and compliance frameworks for the cloud improve, this deployment mode will continue to dominate, offering enhanced flexibility and efficiency to healthcare providers globally, thereby driving market development.

Analytics Type Segment to Hold a Substantial Share of the Market

Predictive analytics is predicted to lead the big data in healthcare market by analytics type, due to its ability to forecast patient outcomes, optimise treatment plans, and enhance resource allocation. By analysing historical data, predictive tools help in early disease detection and reducing hospital readmissions. The increasing focus on preventive care and personalised medicine fuels this segment's growth. Healthcare organisations are leveraging predictive models to improve operational efficiency and reduce costs. With advancements in AI and machine learning, predictive analytics will remain a key driver of market growth, aiding in better decision-making and improving the quality of care during the forecast period.

Market Segment by Application to Witness Growth

Clinical data analytics is predicted to hold a notable share, driven by the demand for improved patient care and evidence-based decision-making. It facilitates the analysis of patient records, treatment outcomes, and medical histories to enhance clinical workflows. The integration of EHRs, coupled with advances in AI and machine learning, further propels this segment's growth. With a rising focus on personalised medicine and real-time monitoring, clinical data analytics is becoming indispensable. Its ability to reduce errors, streamline processes, and support precision healthcare positions it as a leading segment, ensuring its dominance in driving the market forward.

End User Segment to Undergo Substantial Growth in the Forecast Period

Hospitals and clinics will likely dominate the big data in healthcare market share by end-use as they generate the majority of healthcare data and require advanced analytics solutions for patient care, operations, and resource management. The adoption of Big Data in managing electronic health records, optimising workflows, and improving clinical outcomes has surged in this segment. Increasing investments in healthcare IT infrastructure and the need for integrated systems enhance its dominance. As hospitals and clinics prioritise data-driven decision-making and personalised patient care, this segment is set to lead the market, contributing significantly to its growth during the forecast period.

Big Data in Healthcare Market Analysis by Region

North America holds the largest market share due to its advanced healthcare infrastructure, early technology adoption, and high investment in data analytics. As per the analysis by Expert Market Research, the North America clinical data analytics in healthcare market is projected to grow at a CAGR of 9.9% between 2025 and 2034. Robust regulatory frameworks, such as HIPAA, encourage secure data integration and drive innovation. The region's strong focus on precision medicine and AI-powered analytics fosters growth. Additionally, North America's large patient pool with chronic diseases necessitates efficient data management for better outcomes. Leading companies and research institutions located here further accelerate advancements. Government initiatives, including funding for Big Data projects, ensure sustained development. With a mature market and continuous innovation, North America is well-positioned to dominate the market in the forecast period.

Leading Players in the Big Data in Healthcare Market

The key features of the market report comprise patent analysis, grant analysis, funding and investment analysis, and strategic initiatives by the leading players. The major companies in the market are as follows:

Veradigm LLC

Founded in 2018 and headquartered in Chicago, Illinois, Veradigm LLC is a leading provider of health information technology solutions. The company specialises in healthcare analytics, electronic health records (EHR), and population health management tools. Veradigm focuses on enhancing healthcare delivery and outcomes through data-driven insights and interoperability solutions. Its portfolio supports life sciences, payers, and healthcare providers by offering innovative software and services that streamline workflows and improve patient care. Veradigm's commitment to integrating technology and healthcare makes it a key player in the Big Data market.

Oracle

Established in 1977, Oracle Corporation is headquartered in Austin, Texas, and is a global leader in database management systems and cloud computing solutions. Its healthcare portfolio includes Oracle Health, providing EHR systems, data integration tools, and advanced analytics to optimise patient care and operational efficiency. With expertise in Big Data, AI, and machine learning, Oracle empowers organisations to harness healthcare data for better decision-making. Oracle's solutions help enhance interoperability, compliance, and outcomes, making it a prominent player in the healthcare technology landscape.

Optum Inc.

Headquartered in Eden Prairie, Minnesota, and founded in 2011, Optum Inc. is a subsidiary of UnitedHealth Group. It specialises in health services, including healthcare analytics, population health management, and claims processing solutions. Optum's Big Data offerings empower payers, providers, and employers to optimise care delivery, reduce costs, and improve patient outcomes. Its portfolio includes AI-driven tools for predictive analytics, telehealth services, and revenue cycle management. Optum's innovative approach to integrating technology and healthcare positions it as a leader in the global healthcare market.

Hewlett Packard Enterprise (HPE)

Hewlett Packard Enterprise (HPE), headquartered in Houston, Texas, was established in 2015 after separating from HP Inc. The company offers advanced IT infrastructure and data solutions for various industries, including healthcare. Its healthcare portfolio includes high-performance computing, cloud-based solutions, and data analytics platforms that support Big Data integration and processing. HPE's technology enables healthcare providers to enhance interoperability, improve patient care, and achieve operational efficiency. With a focus on innovation and scalable solutions, HPE continues to drive advancements in the healthcare technology sector.

Other key players in the market include International Business Machines Corporation (IBM), Microsoft Corporation, Epic Systems Corporation, Abacus Insights, and Clarify Health Solutions.

Key Questions Answered in the Big Data in Healthcare Market

- What was the global big data in healthcare market value in 2024?
- What is the global big data in healthcare market forecast outlook for 2025-2034?
- What is market segmentation based on product?
- How is the market segmented based on modes of deployment?
- What is market segmentation based on analytics type?
- How is the market segmented based on applications?
- How is the market segmented based on end users?
- What are the major factors aiding the global big data in healthcare market demand?
- How has the market performed so far and how is it anticipated to perform in the coming years?
- What are the market's major drivers, opportunities, and restraints?
- What are the major global big data in healthcare market trends?
- Which product will lead the market segment?
- Which modes of deployment will lead the market segment?
- Which analytics type will lead the market segment?
- Which application will lead the market segment?
- Which end user will lead the market segment?
- Who are the key players involved in the global big data in healthcare market?
- What is the patent landscape of the market?
- What are the current unmet needs and challenges in the market?
- How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?

1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage - Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Big Data in Healthcare Market Overview
3.1 Global Big Data in Healthcare Market Historical Value (2018-2024)
3.2 Global Big Data in Healthcare Market Forecast Value (2025-2034)
4 Vendor Positioning Analysis
4.1 Key Vendors
4.2 Prospective Leaders
4.3 Niche Leaders
4.4 Disruptors
5 Global Big Data in Healthcare Market Landscape*
5.1 Global Big Data in Healthcare Market: Developers Landscape
5.1.1 Analysis by Year of Establishment
5.1.2 Analysis by Company Size
5.1.3 Analysis by Region
5.2 Global Big Data in Healthcare Market: Product Landscape
5.2.1 Analysis by Product
5.2.2 Analysis by Mode of Deployment
5.2.3 Analysis by Applications
6 Global Big Data in Healthcare Market Dynamics
6.1 Market Drivers and Constraints
6.2 SWOT Analysis
6.2.1 Strengths
6.2.2 Weaknesses
6.2.3 Opportunities
6.2.4 Threats
6.3 PESTEL Analysis
6.3.1 Political
6.3.2 Economic
6.3.3 Social
6.3.4 Technological
6.3.5 Legal
6.3.6 Environment
6.4 Porter's Five Forces Model
6.4.1 Bargaining Power of Suppliers
6.4.2 Bargaining Power of Buyers
6.4.3 Threat of New Entrants
6.4.4 Threat of Substitutes
6.4.5 Degree of Rivalry
6.5 Key Demand Indicators
6.6 Key Price Indicators
6.7 Industry Events, Initiatives, and Trends
6.8 Value Chain Analysis
7 Global Big Data in Healthcare Market Segmentation (218-2034)
7.1 Global Big Data in Healthcare Market (2018-2034) by Product
7.1.1 Market Overview
7.1.2 Software
7.1.2.1 Electronic Health Record Software
7.1.2.2 Practice Management Software
7.1.2.3 Workforce Management Software
7.1.2.4 Others
7.1.3 Services
7.2 Global Big Data in Healthcare Market (2018-2034) by Mode of Deployment
7.2.1 Market Overview
7.2.2 On - Premises
7.2.3 Cloud
7.3 Global Big Data in Healthcare Market (2018-2034) by Analytics Type
7.3.1 Market Overview
7.3.2 Descriptive
7.3.3 Predictive
7.3.4 Prescriptive
7.4 Global Big Data in Healthcare Market (2018-2034) by Applications
7.4.1 Market Overview
7.4.2 Clinical Data Analytics
7.4.3 Financial Analytics
7.4.4 Operational Analytics
7.5 Global Big Data in Healthcare Market (2018-2034) by End User
7.5.1 Market Overview
7.5.2 Hospitals and Clinics
7.5.3 Finance and Insurance Agencies
7.5.4 Research Organizations
7.5.5 Others
7.6 Global Big Data in Healthcare Market (2018-2034) by Region
7.6.1 Market Overview
7.6.2 North America
7.6.3 Europe
7.6.4 Asia Pacific
7.6.5 Latin America
7.6.6 Middle East and Africa
8 North America Big Data in Healthcare Market (218-2034)
8.1 North America Big Data in Healthcare Market (2018-2034) by Product
8.1.1 Market Overview
8.1.2 Software
8.1.2.1 Electronic Health Record Software
8.1.2.2 Practice Management Software
8.1.2.3 Workforce Management Software
8.1.2.4 Others
8.1.3 Services
8.2 North America Big Data in Healthcare Market (2018-2034) by Mode of Deployment
8.2.1 Market Overview
8.2.2 On - Premises
8.2.3 Cloud
8.3 North America Big Data in Healthcare Market (2018-2034) by Analytics Type
8.3.1 Market Overview
8.3.2 Descriptive
8.3.3 Predictive
8.3.4 Prescriptive
8.4 North America Big Data in Healthcare Market (2018-2034) by Applications
8.4.1 Market Overview
8.4.2 Clinical Data Analytics
8.4.3 Financial Analytics
8.4.4 Operational Analytics
8.5 North America Big Data in Healthcare Market (2018-2034) by End User
8.5.1 Market Overview
8.5.2 Hospitals and Clinics
8.5.3 Finance and Insurance Agencies
8.5.4 Research Organizations
8.5.5 Others
8.6 North America Big Data in Healthcare Market (2018-2034) by Country
8.6.1 United States of America
8.6.2 Canada
9 Europe Big Data in Healthcare Market (218-2034)
9.1 Europe Big Data in Healthcare Market (2018-2034) by Product
9.1.1 Market Overview
9.1.2 Software
9.1.2.1 Electronic Health Record Software
9.1.2.2 Practice Management Software
9.1.2.3 Workforce Management Software
9.1.2.4 Others
9.1.3 Services
9.2 Europe Big Data in Healthcare Market (2018-2034) by Mode of Deployment
9.2.1 Market Overview
9.2.2 On - Premises
9.2.3 Cloud
9.3 Europe Big Data in Healthcare Market (2018-2034) by Analytics Type
9.3.1 Market Overview
9.3.2 Descriptive
9.3.3 Predictive
9.3.4 Prescriptive
9.4 Europe Big Data in Healthcare Market (2018-2034) by Applications
9.4.1 Market Overview
9.4.2 Clinical Data Analytics
9.4.3 Financial Analytics
9.4.4 Operational Analytics
9.5 Europe Big Data in Healthcare Market (2018-2034) by End User
9.5.1 Market Overview
9.5.2 Hospitals and Clinics
9.5.3 Finance and Insurance Agencies
9.5.4 Research Organizations
9.5.5 Others
9.6 Europe Big Data in Healthcare Market (2018-2034) by Country
9.6.1 United Kingdom
9.6.2 Germany
9.6.3 France
9.6.4 Italy
9.6.5 Others
10 Asia Pacific Big Data in Healthcare Market (218-2034)
10.1 Asia Pacific Big Data in Healthcare Market (2018-2034) by Product
10.1.1 Market Overview
10.1.2 Software
10.1.2.1 Electronic Health Record Software
10.1.2.2 Practice Management Software
10.1.2.3 Workforce Management Software
10.1.2.4 Others
10.1.3 Services
10.2 Asia Pacific Big Data in Healthcare Market (2018-2034) by Mode of Deployment
10.2.1 Market Overview
10.2.2 On - Premises
10.2.3 Cloud
10.3 Asia Pacific Big Data in Healthcare Market (2018-2034) by Analytics Type
10.3.1 Market Overview
10.3.2 Descriptive
10.3.3 Predictive
10.3.4 Prescriptive
10.4 Asia Pacific Big Data in Healthcare Market (2018-2034) by Applications
10.4.1 Market Overview
10.4.2 Clinical Data Analytics
10.4.3 Financial Analytics
10.4.4 Operational Analytics
10.5 Asia Pacific Big Data in Healthcare Market (2018-2034) by End User
10.5.1 Market Overview
10.5.2 Hospitals and Clinics
10.5.3 Finance and Insurance Agencies
10.5.4 Research Organizations
10.5.5 Others
10.6 Asia Pacific Big Data in Healthcare Market (2018-2034) by Country
10.6.1 China
10.6.2 Japan
10.6.3 India
10.6.4 ASEAN
10.6.5 Australia
10.6.6 Others
11 Latin America Big Data in Healthcare Market (218-2034)
11.1 Latin America Big Data in Healthcare Market (2018-2034) by Product
11.1.1 Market Overview
11.1.2 Software
11.1.2.1 Electronic Health Record Software
11.1.2.2 Practice Management Software
11.1.2.3 Workforce Management Software
11.1.2.4 Others
11.1.3 Services
11.2 Latin America Big Data in Healthcare Market (2018-2034) by Mode of Deployment
11.2.1 Market Overview
11.2.2 On - Premises
11.2.3 Cloud
11.3 Latin America Big Data in Healthcare Market (2018-2034) by Analytics Type
11.3.1 Market Overview
11.3.2 Descriptive
11.3.3 Predictive
11.3.4 Prescriptive
11.4 Latin America Big Data in Healthcare Market (2018-2034) by Applications
11.4.1 Market Overview
11.4.2 Clinical Data Analytics
11.4.3 Financial Analytics
11.4.4 Operational Analytics
11.5 Latin America Big Data in Healthcare Market (2018-2034) by End User
11.5.1 Market Overview
11.5.2 Hospitals and Clinics
11.5.3 Finance and Insurance Agencies
11.5.4 Research Organizations
11.5.5 Others
11.6 Latin America Big Data in Healthcare Market (2018-2034) by Country
11.6.1 Brazil
11.6.2 Argentina
11.6.3 Mexico
11.6.4 Others
12 Middle East and Africa Big Data in Healthcare Market (218-2034)
12.1 Middle East and Africa Big Data in Healthcare Market (2018-2034) by Product
12.1.1 Market Overview
12.1.2 Software
12.1.2.1 Electronic Health Record Software
12.1.2.2 Practice Management Software
12.1.2.3 Workforce Management Software
12.1.2.4 Others
12.1.3 Services
12.2 Middle East and Africa Big Data in Healthcare Market (2018-2034) by Mode of Deployment
12.2.1 Market Overview
12.2.2 On - Premises
12.2.3 Cloud
12.3 Middle East and Africa Big Data in Healthcare Market (2018-2034) by Analytics Type
12.3.1 Market Overview
12.3.2 Descriptive
12.3.3 Predictive
12.3.4 Prescriptive
12.4 Middle East and Africa Big Data in Healthcare Market (2018-2034) by Applications
12.4.1 Market Overview
12.4.2 Clinical Data Analytics
12.4.3 Financial Analytics
12.4.4 Operational Analytics
12.5 Middle East and Africa Big Data in Healthcare Market (2018-2034) by End User
12.5.1 Market Overview
12.5.2 Hospitals and Clinics
12.5.3 Finance and Insurance Agencies
12.5.4 Research Organizations
12.5.5 Others
12.6 Middle East and Africa Big Data in Healthcare Market (2018-2034) by Country
12.6.1 Saudi Arabia
12.6.2 United Arab Emirates
12.6.3 Nigeria
12.6.4 South Africa
12.6.5 Others
13 Regulatory Framework
13.1 Regulatory Overview
13.2 US FDA
13.3 EU EMA
13.4 INDIA CDSCO
13.5 JAPAN PMDA
13.6 Others
14 Patent Analysis
14.1 Analysis by Type of Patent
14.2 Analysis by Publication Year
14.3 Analysis by Issuing Authority
14.4 Analysis by Patent Age
14.5 Analysis by CPC Analysis
14.6 Analysis by Patent Valuation
14.7 Analysis by Key Players
15 Grant Analysis
15.1 Analysis by Year
15.2 Analysis by Amount Awarded
15.3 Analysis by Issuing Authority
15.4 Analysis by Grant Product
15.5 Analysis by Funding Institute
15.6 Analysis by Departments
15.7 Analysis by Recipient Organization
16 Funding and Investment Analysis
16.1 Analysis by Funding Instances
16.2 Analysis by Type of Funding
16.3 Analysis by Funding Amount
16.4 Analysis by Leading Players
16.5 Analysis by Leading Investors
16.6 Analysis by Geography
17 Strategic Initiatives
17.1 Analysis by Partnership Instances
17.2 Analysis by Type of Partnership and Collaborations
17.3 Analysis by Joint Ventures
17.4 Analysis by Leading Players
17.5 Analysis by Geography
18 Supplier Landscape
18.1 Market Share Analysis, By Region (Top 5 Companies)
18.2 Veradigm LLC
18.2.1 Financial Analysis
18.2.2 Product Portfolio
18.2.3 Demographic Reach and Achievements
18.2.4 Company News and Developments
18.2.5 Certifications
18.3 Oracle
18.3.1 Financial Analysis
18.3.2 Product Portfolio
18.3.3 Demographic Reach and Achievements
18.3.4 Company News and Developments
18.3.5 Certifications
18.4 Optum Inc.
18.4.1 Financial Analysis
18.4.2 Product Portfolio
18.4.3 Demographic Reach and Achievements
18.4.4 Company News and Developments
18.4.5 Certifications
18.5 Hewlett Packard Enterprise (HPE)
18.5.1 Financial Analysis
18.5.2 Product Portfolio
18.5.3 Demographic Reach and Achievements
18.5.4 Company News and Developments
18.5.5 Certifications
18.6 International Business Machines Corporation (IBM)
18.6.1 Financial Analysis
18.6.2 Product Portfolio
18.6.3 Demographic Reach and Achievements
18.6.4 Company News and Developments
18.6.5 Certifications
18.7 Microsoft Corporation
18.7.1 Financial Analysis
18.7.2 Product Portfolio
18.7.3 Demographic Reach and Achievements
18.7.4 Company News and Developments
18.7.5 Certifications
18.8 Epic Systems Corporation
18.8.1 Financial Analysis
18.8.2 Product Portfolio
18.8.3 Demographic Reach and Achievements
18.8.4 Company News and Developments
18.8.5 Certifications
18.9 Abacus Insights
18.9.1 Financial Analysis
18.9.2 Product Portfolio
18.9.3 Demographic Reach and Achievements
18.9.4 Company News and Developments
18.9.5 Certifications
18.10 Clarify Health Solutions
18.10.1 Financial Analysis
18.10.2 Product Portfolio
18.10.3 Demographic Reach and Achievements
18.10.4 Company News and Developments
18.10.5 Certifications
19 Key Opinion Leaders (KOL) Insights (Additional Insight)

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    • Global Site License
      • The Global Site License is the most comprehensive license available. By selecting this license, the Market Report can be shared with other ‘Allowed Users’ and any other member of staff from the same organisation regardless of geographic location.

        It is important to note that this may exclude Parent Companies or Subsidiaries.

        If you have questions or need confirmation about the specific license we recommend you to Contact us and a detailed explanation will be provided.

    • Formats
      • The most common format is PDF, however in certain circumstances data may be present in Excel format or Online, especially in the case of Database or Directories. In addition, for certain higher license options a CD may also be provided.

        If you have questions or need clarification about the specific formats we recommend you to Contact us and a detailed explanation will be provided.

    • Delivery
      • Delivery is fulfilled by our partners directly. Once an order has been placed we inform the partner by sharing the delivery email details given in the order process.

        Delivery is usually made within 24 hours of an order being placed, however it may take longer should your order be placed prior to the weekend or if otherwise specified on the Market Report details page. Additionally, if details have been not fully completed in the Order process a delay in delivery is possible.

        If a delay in delivery is expected you will be informed about it immediately.

    • Shipping Charges
      • As most Market Reports are delivered in PDF format we almost never have to add additional Shipping Charges. If, however you are ordering a Higher License service or a specific delivery format (e.g. CD version) charges may apply.

        If you are concerned about additional Shipping Charges we recommend you to Contact us to double check.

  • Ordering
    • By Credit Card
      • We work in Partnership with PayU to ensure payments are made securely in a fast and effortless way. PayU is the e-payments division of Naspers.

        Naspers operates in over 133 International Markets and ranks 3rd Globally in terms of the number of e-commerce customers served.

        For more information on PayU please visit: https://www.payu.pl/en/about-us

    • By Money Transfer
      • If you require an invoice prior to payment, this is possible. To ensure a speedy delivery of the Market Report we require all relevant company details and you agree to maximum payment terms of 30 days from receipt of order.

        With our regular clients deliver of the Market Report can be made prior to receiving payment, however in some circumstances we may ask for payment to be received before arranging for the Market Report to be delivered.

  • Security
    • Website security
      • We have specifically partnered with leading International companies to protect your privacy by using different technologies and processes to ensure security.

        Everything submitted to Scotts International is encrypted via SSL (Secure Socket Layer) and all personal information provided to Scotts International is stored on computer systems with limited access in controlled environments.

    • Credit Card Security
      • We partner with PayU (https://www.payu.pl/en/about-us) to ensure all credit card payments are made securely in a fast and effortless way.

        PayU offers 250+ various payment channels and eWallet services across 4 continents allowing buyers to pay electronically, whether on a computer or a mobile device.

PLEASE SELECT LICENSE