Healthcare Business Intelligence

Healthcare Business Intelligence Market Outlook

The global healthcare business intelligence market is projected to reach approximately USD 30 billion by 2035, with a compound annual growth rate (CAGR) of around 12% during the forecast period from 2025 to 2035. The driving force behind this growth can be attributed to the increasing demand for data-driven decision-making in healthcare, coupled with the growing emphasis on improving patient outcomes and operational efficiencies. Additionally, healthcare organizations are increasingly adopting advanced analytics solutions to streamline processes, enhance compliance with regulations, and achieve better financial performance. The burgeoning focus on preventive healthcare and personalized medicine also significantly contributes to the growing need for robust business intelligence tools in the healthcare sector. Furthermore, the integration of artificial intelligence and machine learning in healthcare analytics is providing organizations with unprecedented insights, thereby propelling the market forward.

Growth Factor of the Market

The healthcare business intelligence market is witnessing exponential growth, driven by several factors that are reshaping the landscape of data management in healthcare. One of the most significant growth factors is the increasing volume of healthcare data generated from various sources, including electronic health records (EHRs), wearable devices, and telehealth services. This surge in data necessitates advanced analytics tools that can efficiently process and transform raw data into actionable insights. Additionally, the rising demand for data transparency and accountability among stakeholders, including patients, providers, and payers, is pushing healthcare organizations to invest in business intelligence solutions. Moreover, the ongoing digital transformation in healthcare, fueled by the adoption of cloud computing and IoT technologies, is providing enhanced capabilities for data analysis and reporting. These factors, combined with the growing awareness of the importance of data-driven strategies in improving patient care and operational performance, are propelling the market growth for healthcare business intelligence solutions.

Key Highlights of the Market

• Rapid growth driven by the increasing demand for data-driven decision-making in healthcare.
• Integration of advanced analytics tools to enhance patient outcomes and operational efficiency.
• Significant investment in cloud-based solutions to improve accessibility and scalability.
• Emphasis on predictive analytics to facilitate proactive healthcare management.
• Growing awareness of the benefits of data transparency and accountability among stakeholders.

By Function

Reporting :

Reporting is a critical function within the healthcare business intelligence market, as it involves the aggregation and presentation of data in a digestible format for stakeholders. Healthcare organizations utilize reporting tools to track performance metrics, monitor compliance with regulations, and provide insights into operational efficiencies. This function aids in the identification of trends, anomalies, and areas for improvement within the organization. The demand for intuitive reporting solutions that can generate real-time reports is on the rise, as it helps healthcare providers make informed decisions swiftly. Additionally, the integration of visualization tools enhances the ability to communicate complex data effectively, making it easier for stakeholders to comprehend and act upon the insights derived from the data.

Analytics :

Analytics is at the heart of the healthcare business intelligence market, encompassing a range of techniques and tools that enable organizations to derive meaningful insights from their data. By employing analytics, healthcare providers can uncover patterns in patient data, which assists in identifying high-risk patients and improving treatment plans. The use of advanced analytics techniques, such as machine learning and artificial intelligence, is gaining traction in the market, facilitating predictive modeling and personalized healthcare solutions. Furthermore, the ability to perform predictive analytics allows organizations to anticipate patient needs and optimize resource allocation, ultimately leading to better patient outcomes. The increasing awareness about the advantages of data analytics is driving healthcare organizations to invest in robust analytics platforms, which serve as a differentiator in today's competitive healthcare landscape.

Monitoring :

Monitoring is an essential function within healthcare business intelligence, as it ensures continuous oversight of key performance indicators and operational metrics. Organizations leverage monitoring tools to track the effectiveness of interventions, manage patient care protocols, and ensure compliance with industry standards. With the growing emphasis on value-based care, monitoring has become increasingly important in assessing the quality and efficiency of healthcare services. Real-time monitoring solutions provide immediate feedback, enabling healthcare teams to address issues as they arise and make adjustments to improve care delivery. Additionally, the integration of remote monitoring technologies, such as telehealth and wearable devices, is further enhancing the ability to track patient health and outcomes, supporting proactive interventions and improved patient engagement.

Predictive Modeling :

Predictive modeling is a transformative function within the healthcare business intelligence landscape, providing organizations with the capability to forecast future events and trends based on historical data. This function plays a vital role in risk assessment and management, enabling healthcare providers to identify high-risk patients and implement preventive measures. By utilizing predictive modeling techniques, organizations can enhance their decision-making processes, leading to improved operational efficiencies and patient care outcomes. The adoption of predictive analytics has become increasingly prevalent, with healthcare organizations seeking to leverage data to anticipate patient needs and optimize resource allocation. Furthermore, as the healthcare industry shifts towards value-based care, the importance of predictive modeling in analyzing patient populations and improving health outcomes will continue to grow, making it a key area of focus for investment and development.

Data Mining :

Data mining is an essential function that enables healthcare organizations to extract valuable insights from large datasets, transforming raw data into meaningful information that can influence decision-making. This function involves analyzing vast amounts of structured and unstructured data, uncovering hidden patterns and relationships that can inform clinical strategies and operational improvements. Organizations employ data mining techniques to enhance patient outcomes by identifying trends in patient behavior, treatment efficacy, and disease progression. The growing adoption of advanced data mining tools is driven by the need for healthcare providers to optimize their operations, reduce costs, and improve the overall quality of care. Additionally, the increasing volume of data generated in healthcare, coupled with the advancements in technology and analytics, is expanding the scope of data mining applications, making it an integral component of the healthcare business intelligence market.

By Deployment

On-premise :

On-premise deployment refers to the installation and management of healthcare business intelligence solutions within an organization's own infrastructure. This approach allows organizations to maintain greater control over their data and tailor their solutions to meet specific operational needs. On-premise deployments are often favored by larger healthcare systems that require enhanced security measures and compliance with regulations governing patient data privacy. While on-premise solutions may involve higher upfront costs and maintenance responsibilities, they offer the advantage of customizable features and direct integration with existing systems. Additionally, organizations opting for on-premise solutions can benefit from the ability to conduct data analysis locally, which can enhance response time and accessibility to critical insights, especially in environments where internet connectivity may be limited.

Cloud-based :

Cloud-based deployment of healthcare business intelligence solutions has gained significant traction due to its flexibility, scalability, and cost-effectiveness. Cloud solutions allow healthcare organizations to access powerful analytics tools without the burden of extensive hardware investments, reducing the total cost of ownership. This deployment model enables seamless access to data and insights from any location, facilitating collaboration among healthcare teams irrespective of geographical boundaries. Additionally, cloud-based solutions often come with automatic updates and enhanced security protocols, ensuring that organizations are equipped with the latest features and protection measures against potential data breaches. The ability to quickly scale solutions based on organizational needs and growing data volumes makes cloud deployment particularly appealing to small and medium-sized enterprises (SMEs) in the healthcare sector. As the emphasis on remote healthcare services continues to rise, the demand for cloud-based business intelligence solutions is expected to grow, further solidifying its position in the market.

By Component

Software :

Software is a crucial component of the healthcare business intelligence market, encompassing various tools and applications designed to facilitate data analysis, reporting, and visualization. This component includes systems such as electronic health record (EHR) integration tools, data warehousing solutions, and advanced analytics platforms. The growing need for healthcare organizations to leverage data for informed decision-making is driving the demand for sophisticated software solutions that can provide real-time insights into patient care and operational performance. Additionally, the increased integration of artificial intelligence and machine learning capabilities within software solutions is enhancing their ability to process and analyze complex datasets, enabling healthcare providers to generate predictive insights and optimize resource allocation effectively. As healthcare continues to evolve toward value-based care, the software component of business intelligence will play a pivotal role in helping organizations achieve their strategic objectives.

Services :

Services are an integral component of the healthcare business intelligence market, encompassing a wide range of offerings that support the implementation, customization, and ongoing management of business intelligence solutions. This component includes consulting services, technical support, training, and maintenance services that ensure optimal utilization of business intelligence tools. As healthcare organizations increasingly adopt sophisticated analytics platforms, the demand for professional services to facilitate seamless integration and maximize the value of these solutions is on the rise. Furthermore, healthcare providers often seek specialized services to address unique challenges, such as data governance and compliance with regulatory requirements. The services component also includes managed services that provide long-term support and maintenance, allowing organizations to focus on delivering high-quality patient care while relying on expert teams to manage their business intelligence infrastructure.

By End User

Hospitals :

Hospitals are one of the primary end users of healthcare business intelligence solutions, leveraging these tools to enhance operational efficiency, improve patient care, and optimize resource allocation. By utilizing business intelligence, hospitals can analyze various aspects of their operations, including patient flow, treatment outcomes, and financial performance, allowing for data-driven decision-making. The ability to generate real-time insights into hospital operations is crucial for identifying bottlenecks and improving service delivery. Additionally, hospitals utilize predictive analytics to anticipate patient needs and manage capacity effectively, which is particularly important in emergency departments and critical care units. As the healthcare landscape continues to evolve, hospitals are increasingly recognizing the value of business intelligence in enhancing care quality and achieving operational excellence.

Clinics :

Clinics are also significant end users of healthcare business intelligence solutions, utilizing these tools to drive improvements in patient care and operational efficiencies. By implementing business intelligence solutions, clinics can analyze patient data, monitor treatment protocols, and identify trends in health outcomes. This ability to leverage data aids clinics in enhancing patient engagement, optimizing appointment scheduling, and improving the overall patient experience. The growing emphasis on preventive care and chronic disease management is driving clinics to adopt business intelligence tools that can provide actionable insights into patient populations. As clinics strive to deliver personalized care and improve clinical outcomes, the role of business intelligence solutions will continue to expand, making it an essential component of their operational strategies.

Payers :

Payers, including insurance companies and managed care organizations, are increasingly adopting healthcare business intelligence solutions to enhance their operations and improve risk management strategies. Business intelligence tools help payers analyze claims data, assess patient risk profiles, and identify trends in healthcare utilization, enabling them to make informed decisions about coverage and reimbursement. The ability to leverage predictive analytics allows payers to forecast healthcare costs and develop targeted intervention programs for high-risk patients. Additionally, business intelligence solutions facilitate improved compliance with regulatory requirements and enhance operational efficiencies, ultimately leading to better service delivery for members and policyholders. As payers navigate a rapidly changing healthcare landscape, the adoption of business intelligence will play a critical role in their strategy to improve financial performance and patient outcomes.

Providers :

Healthcare providers, including hospitals, clinics, and specialty care facilities, are significant end users of business intelligence solutions, relying on these tools to support clinical decision-making and operational management. By leveraging business intelligence, providers can analyze patient data to optimize treatment plans, improve care coordination, and enhance patient outcomes. The integration of advanced analytics within practice management systems allows providers to identify trends in patient populations and assess the effectiveness of interventions. Additionally, business intelligence solutions enable providers to streamline administrative processes, reduce costs, and enhance overall operational efficiency. As the healthcare environment shifts towards value-based care, the role of business intelligence solutions will become even more critical for providers seeking to improve care quality while managing costs effectively.

Others :

In addition to hospitals, clinics, payers, and providers, other stakeholders in the healthcare ecosystem are also utilizing business intelligence solutions to enhance their operations and improve service delivery. These can include pharmaceutical companies, research institutions, and government health agencies, all of which benefit from data-driven insights to inform their strategies. For example, pharmaceutical companies leverage business intelligence tools to analyze clinical trial data, monitor drug efficacy, and optimize marketing strategies. Research institutions utilize business intelligence solutions to track advancements in healthcare technologies and assess the impact of interventions on patient populations. Additionally, government health agencies employ business intelligence to monitor public health trends, facilitate research initiatives, and develop effective policies. As the demand for data-driven approaches continues to grow, the role of business intelligence across various healthcare sectors will expand, driving innovation and improving overall health outcomes.

By Region

The regional analysis of the healthcare business intelligence market reveals distinct trends and growth patterns across various geographies. North America holds the largest market share, accounting for approximately 45% of the global market in 2023. This dominance can be attributed to the high level of healthcare expenditure, advanced technological infrastructure, and the presence of major healthcare organizations and technology providers in the region. Furthermore, the increasing focus on data analytics for improving patient outcomes and operational efficiency drives investment in healthcare business intelligence solutions throughout the United States and Canada. The North American healthcare business intelligence market is projected to grow at a CAGR of 11% from 2025 to 2035, fueled by ongoing innovations in technology and an increasing emphasis on value-based care models.

In Europe, the healthcare business intelligence market is experiencing steady growth, with a market share of approximately 30% in 2023. The region is witnessing significant investments in healthcare technology and data analytics, particularly as healthcare systems strive to improve patient care and operational efficiencies. Countries like Germany, the United Kingdom, and France are leading the charge in adopting business intelligence solutions to enhance data-driven decision-making within their healthcare systems. The European healthcare business intelligence market is expected to grow at a CAGR of around 10% during the forecast period, as organizations increasingly recognize the importance of analytics for addressing the challenges posed by aging populations and rising healthcare costs. While Asia Pacific is emerging as a rapidly growing market, with projected growth driven by increasing healthcare spending and the adoption of advanced technologies, it currently holds a market share of approximately 20%.

Opportunities

The healthcare business intelligence market is rife with opportunities that organizations can leverage to enhance their operational capabilities and improve patient outcomes. One of the most significant opportunities lies in the integration of artificial intelligence (AI) and machine learning (ML) technologies into business intelligence solutions. These advanced analytics tools can provide healthcare organizations with predictive insights, enabling them to identify at-risk patients and develop tailored intervention strategies. As the healthcare industry continues to embrace data-driven approaches, organizations that can harness AI and ML technologies will gain a competitive edge, allowing for improved patient engagement and outcomes. Furthermore, the proliferation of telehealth services and remote monitoring technologies presents another opportunity for business intelligence solutions to capture real-time patient data, enabling providers to deliver personalized care and enhance care coordination.

Additionally, the growing demand for value-based care models is creating opportunities for healthcare organizations to adopt business intelligence tools that facilitate performance measurement and quality improvement initiatives. As regulatory bodies increasingly emphasize accountability and transparency in healthcare, organizations that implement robust business intelligence solutions will be better positioned to meet compliance requirements and enhance their reputation in the market. Moreover, partnerships between technology vendors and healthcare providers can drive innovation in the business intelligence sector, leading to the development of tailored solutions that address specific operational challenges. As organizations continue to seek ways to optimize their performance and improve patient care, the opportunities within the healthcare business intelligence market are expected to expand, paving the way for new advancements and innovations.

Threats

While the healthcare business intelligence market presents numerous opportunities, it is not without its challenges and threats. One of the primary threats is the increasing concern over data security and privacy, particularly given the sensitive nature of healthcare information. Cyberattacks and data breaches are becoming more sophisticated, posing significant risks to healthcare organizations that rely on business intelligence solutions to manage patient data. As regulatory requirements surrounding data protection become more stringent, organizations may face challenges in ensuring compliance, leading to potential legal repercussions and loss of trust among patients. Additionally, the high cost of implementing advanced business intelligence solutions may deter smaller healthcare organizations from adopting these technologies, creating a potential gap in the market.

Furthermore, the rapid pace of technological advancements in healthcare can also be a double-edged sword. While new technologies offer improved capabilities, they also necessitate ongoing investments in training and adaptation for healthcare staff. Organizations that are unable to keep pace with these changes may struggle to realize the full potential of their business intelligence solutions, leading to suboptimal outcomes. Moreover, the lack of standardization in data formats and interoperability among different healthcare systems can complicate data integration efforts, hindering the effectiveness of business intelligence tools. As the market continues to evolve, addressing these threats will be crucial for organizations seeking to leverage healthcare business intelligence effectively.

Competitor Outlook

• IBM Corporation
• Oracle Corporation
• Tableau Software, LLC
• SAS Institute Inc.
• Microsoft Corporation
• Qlik Technologies Inc.
• Informatica LLC
• MicroStrategy Incorporated
• Tableau Software, LLC
• SAP SE
• Allscripts Healthcare Solutions, Inc.
• Epic Systems Corporation
• Dell Technologies Inc.
• Medidata Solutions, Inc.
• Health Catalyst, Inc.

The competitive landscape of the healthcare business intelligence market is characterized by the presence of several key players, each vying for market share through technological innovation and strategic partnerships. Major companies in this space are focusing on the development of advanced analytics solutions that leverage artificial intelligence and machine learning capabilities to provide healthcare organizations with predictive insights and actionable data. Additionally, established players like IBM, Oracle, and Microsoft are investing heavily in research and development to enhance their offerings and maintain a competitive edge in the market. These companies are also forging strategic alliances with healthcare providers and technology partners to enhance their product portfolios and expand their market reach.

Furthermore, the rise of niche players in the healthcare business intelligence market is fostering innovation and driving competition within the industry. Companies such as Health Catalyst and Medidata Solutions are specializing in providing tailored analytics solutions for specific segments of the healthcare market, allowing them to address unique operational challenges effectively. These emerging players are often agile and capable of adapting quickly to changing market demands, positioning themselves as strong competitors to larger, established firms. As the market continues to evolve, the focus on specialized solutions is expected to intensify, prompting all players to enhance their offerings and explore new areas of growth.

In summary, the competitive landscape of the healthcare business intelligence market is dynamic and rapidly changing, marked by continuous innovation and a focus on providing value-driven solutions to healthcare organizations. As the emphasis on data-driven decision-making and improved patient outcomes grows within the healthcare sector, companies that can demonstrate their capabilities in leveraging business intelligence effectively will likely emerge as leaders in the market. The future of this market will be shaped by the ongoing collaboration between technology providers and healthcare organizations, fostering advancements that enhance operational efficiency and patient care across the industry.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 SAP SE
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 IBM Corporation
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Informatica LLC
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Oracle Corporation
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 SAS Institute Inc.
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Health Catalyst, Inc.
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Microsoft Corporation
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Tableau Software, LLC
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Dell Technologies Inc.
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Qlik Technologies Inc.
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Epic Systems Corporation
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Medidata Solutions, Inc.
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 MicroStrategy Incorporated
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Allscripts Healthcare Solutions, Inc.
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Healthcare Business Intelligence Market, By End User
    • 6.1.1 Hospitals
    • 6.1.2 Clinics
    • 6.1.3 Payers
    • 6.1.4 Providers
    • 6.1.5 Others
  • 6.2 Healthcare Business Intelligence Market, By Function
    • 6.2.1 Reporting
    • 6.2.2 Analytics
    • 6.2.3 Monitoring
    • 6.2.4 Predictive Modeling
    • 6.2.5 Data Mining
  • 6.3 Healthcare Business Intelligence Market, By Component
    • 6.3.1 Software
    • 6.3.2 Services
  • 6.4 Healthcare Business Intelligence Market, By Deployment
    • 6.4.1 On-premise
    • 6.4.2 Cloud-based

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Healthcare Business Intelligence Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Healthcare Business Intelligence market is categorized based on

By Function

• Reporting
• Analytics
• Monitoring
• Predictive Modeling
• Data Mining

By Deployment

• On-premise
• Cloud-based

By Component

• Software
• Services

By End User

• Hospitals
• Clinics
• Payers
• Providers
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• IBM Corporation
• Oracle Corporation
• Tableau Software, LLC
• SAS Institute Inc.
• Microsoft Corporation
• Qlik Technologies Inc.
• Informatica LLC
• MicroStrategy Incorporated
• Tableau Software, LLC
• SAP SE
• Allscripts Healthcare Solutions, Inc.
• Epic Systems Corporation
• Dell Technologies Inc.
• Medidata Solutions, Inc.
• Health Catalyst, Inc.