The Human Capital Index (HCI) database provides data at the country level for each of the components of the Human Capital Index as well as for the overall index, disaggregated by gender. The index measures the amount of human capital that a child born today can expect to attain by age 18, given the risks of poor health and poor education that prevail in the country where she lives. It is designed to highlight how improvements in current health and education outcomes shape the productivity of the next generation of workers, assuming that children born today experience over the next 18 years the educational opportunities and health risks that children in this age range currently face. For further details, please refer to https://www.worldbank.org/en/publication/human-capital/brief/the-human-capital-project-frequently-asked-questions#HCI8

The hyperconverged infrastructure (HCI) database software market is experiencing robust growth, projected to reach a market size of $928 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 13.1% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of cloud-based solutions across enterprises and individual users is a significant driver, offering scalability, flexibility, and reduced IT infrastructure costs. Furthermore, the rising demand for improved data management and analytics capabilities, coupled with the need for simplified IT operations, is boosting market demand. Organizations are increasingly seeking solutions that streamline database management while enhancing performance and security, making hyperconverged database software an attractive option. The market is segmented by application (enterprise and personal) and type (cloud-based and on-premises), with cloud-based solutions leading the growth trajectory due to their inherent advantages in scalability and cost-effectiveness. Major players like Oracle, Microsoft, IBM, and SAP are actively shaping the market landscape through continuous innovation and strategic partnerships. The geographic distribution shows a significant market presence in North America, followed by Europe and Asia Pacific, with emerging markets in the Middle East and Africa also demonstrating promising growth potential. The competitive landscape is characterized by both established players and emerging vendors. Established players leverage their existing customer bases and extensive product portfolios to maintain market share. Meanwhile, emerging vendors focus on niche market segments and innovative technologies to gain traction. The continued advancement of technologies such as artificial intelligence (AI) and machine learning (ML) integration within hyperconverged database software is expected to further fuel market growth. However, challenges such as data security concerns, integration complexities, and the potential need for significant upfront investments can act as restraints. Despite these challenges, the long-term outlook for the hyperconverged database software market remains positive, driven by the ongoing digital transformation across various sectors and the increasing demand for efficient and scalable data management solutions.

The hyperconverged infrastructure (HCI) database software market is experiencing robust growth, driven by the increasing demand for scalable, cost-effective, and easily manageable database solutions. The market's expansion is fueled by several key factors, including the rising adoption of cloud computing, the proliferation of big data, and the need for improved operational efficiency in data centers. Businesses are increasingly seeking solutions that can seamlessly integrate compute, storage, and networking resources, enabling faster deployment and reduced IT complexity. The market is characterized by a competitive landscape with established players like Oracle, Microsoft, IBM, and SAP SE, alongside emerging vendors offering innovative solutions. While the precise market size and CAGR are unavailable, we can estimate a significant market value based on related technologies. Considering the rapid growth in HCI and cloud-based database services, a reasonable estimate for the 2025 market size could be in the range of $5 billion to $7 billion, with a compound annual growth rate (CAGR) between 15% and 20% projected through 2033. This growth reflects the continued migration towards cloud-native architectures and the increasing adoption of HCI solutions by enterprises seeking to modernize their IT infrastructure. Growth restraints include the complexities involved in migrating existing legacy databases and potential security concerns related to data consolidation in HCI environments. The segmentation of the market includes various deployment models (on-premises, cloud, hybrid) and database types (relational, NoSQL). The competitive landscape is characterized by both established players offering comprehensive HCI solutions and specialized vendors concentrating on niche database technologies. North America and Europe currently represent major market segments, but significant growth potential exists in the Asia-Pacific region as businesses in emerging economies adopt digital transformation strategies. Continued innovation in areas like AI and machine learning integration with HCI database solutions will further drive market expansion. Companies are focused on delivering better performance, enhanced scalability, and improved data management capabilities. The forecast period of 2025-2033 suggests continued substantial growth, indicating a bright outlook for this sector.

United States US: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.757 NA in 2017. United States US: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. United States US: Human Capital Index (HCI): Female: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

In a visionary future, Human-Computer Interaction HCI and Information Management IM have the potential to enable humans to better manage their lives through the use of synergistic human-computer empowered information systems. This report identifies and illustrates the problems that underlie HCI and IM R and D and provides a context and snapshot of Government approaches to HCI and IM R and D for the development and use of integrated on-line information technologies...

Iran IR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.591 NA in 2017. Iran IR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.591 NA from Dec 2017 (Median) to 2017, with 1 observations. Iran IR: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

This dataset comprises ten human-computer interaction logs of real participants who solved a given task in a Windows environment. The participants were allowed to use the standard notepad, calculator, and file explorer. All recordings are anonymized and do not contain any private information.Simple:Each of the five log files in the folder simple contains Human-Computer Interaction recordings of a participant solving a simple task. Participants were provided 30 raw text files where each one contained data about the revenue and expenses of a single product for a given time period. In total 15 summaries were asked to be created by summarizing the data of two files and calculating the combined revenue, expenses, and profit. Complex:Each of the five log files in the folder complex contains Human-Computer Interaction recordings of a participant solving a more advanced task. In particular, participants were given a folder of text documents and were asked to create summary documents that contain the total revenue and expenses of the quarter, profit, and, where applicable, profit improvement compared to the previous quarter and the same quarter of the previous year. Each quarter’s data comprised multiple text files.The logging application that has been used is the one described inJulian Theis and Houshang Darabi. 2019. Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. Proc. ACM Hum.-Comput. Interact. 3, EICS, Article 13 (June 2019), 16 pages. DOI: https://doi.org/10.1145/3331155Please refer to Table 1 and Table 2 of this publication regarding the structure of the log files. The first column corresponds to the timestamp in milliseconds, the second column represents the event key, and the third column contains additional event-specific information.

Hyper-Converged (HCI) Solutions Market Outlook

The global market size for Hyper-Converged Infrastructure (HCI) solutions was valued at $8.5 billion in 2023 and is projected to reach approximately $33 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.5% during the forecast period. This impressive growth is driven by the rising demand for simplified IT infrastructure management and the increasing adoption of HCI solutions across various industry verticals.

One of the primary growth factors fueling the HCI market is the increasing need for agile, scalable, and flexible IT infrastructure. Organizations worldwide are shifting towards digital transformation, necessitating robust infrastructure solutions that can support high workloads and complex applications. HCI solutions provide the perfect blend of compute, storage, and networking in a single solution, thus simplifying data center management and driving efficiencies. This simplification, combined with the cost benefits and reduced hardware footprint, is significantly boosting the adoption of HCI solutions.

Another crucial factor propelling the market is the surge in data generation and the subsequent necessity for efficient data management and protection solutions. As businesses generate and accumulate vast amounts of data, the demand for solutions that can securely store, manage, and retrieve this data grows. HCI solutions, with their integrated data protection and disaster recovery capabilities, offer a reliable answer to these challenges. This makes them an attractive choice for enterprises looking to enhance their data handling capabilities while ensuring data security and compliance.

Moreover, the rise in remote working trends and the need for virtualized environments are contributing significantly to the market growth. The COVID-19 pandemic has accelerated the adoption of digital workspaces and remote working models, pushing organizations to seek solutions that support these new working modes. HCI solutions enable seamless virtualization and remote office/branch office (ROBO) functionalities, making them indispensable in the current business scenario. The ability to deploy virtual desktops and applications efficiently and securely using HCI infrastructure further drives its adoption.

The evolution of the Converged Data Platform is playing a pivotal role in addressing the challenges posed by the exponential growth of data. By integrating compute, storage, and networking into a unified system, these platforms offer a streamlined approach to managing data across diverse environments. This integration not only simplifies IT operations but also enhances data accessibility and scalability, making it easier for enterprises to adapt to changing business needs. As organizations increasingly rely on data-driven insights to inform strategic decisions, the demand for robust and efficient data platforms continues to rise. The Converged Data Platform, with its ability to seamlessly manage and protect data, is becoming an essential component of modern IT infrastructures.

From a regional perspective, North America holds the largest share of the HCI market, owing to the early adoption of advanced technologies and the presence of key market players. The region's robust IT infrastructure and high digitalization rate are also major contributors. Europe follows closely, driven by stringent regulatory frameworks and growing investments in IT infrastructure. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, fueled by rapid technological advancements, increasing IT spending, and the burgeoning number of SMEs.

Component Analysis

In terms of components, the HCI market is segmented into hardware, software, and services. The hardware segment constitutes a significant portion of the market, driven by the need for robust physical infrastructure to support hyper-converged solutions. This includes servers, storage modules, and networking components that form the backbone of HCI systems. The continual advancements in hardware technologies, such as NVMe storage and high-performance servers, are further bolstering this segment's growth.

The software segment is equally critical, encompassing the hypervisor, management software, and data protection software. This segment is experiencing rapid growth due to the increasing adoption of software-defined storage and networking solutions. The capability of HCI software t

Benchmark on GenAI Tools from the Perspective of HCI - Database

France FR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.765 NA in 2017. France FR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.765 NA from Dec 2017 (Median) to 2017, with 1 observations. France FR: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Madagascar MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.343 NA in 2017. Madagascar MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.343 NA from Dec 2017 (Median) to 2017, with 1 observations. Madagascar MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Madagascar – Table MG.World Bank: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

HCI reported $2.58M in Net Income for its fiscal quarter ending in December of 2024. Data for HCI - Net Income including historical, tables and charts were last updated by Trading Economics this last June in 2025.

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Hyper Converged Infrastructure Market Size 2025-2029

The hyper converged infrastructure market size is forecast to increase by USD 252.9 billion at a CAGR of 47.9% between 2024 and 2029.

Hyper Converged Infrastructure (HCI) is a type of Converged Infrastructure that offers a more agile and efficient IT solution by integrating compute, storage, and networking resources into a single system. The market for HCI is experiencing significant growth due to various factors, including the increasing demand for data protection and the impact of digital transformation on businesses. The trend towards hybrid cloud deployments is also driving the adoption of HCI, as it allows organizations to easily extend their on-premises infrastructure to the cloud.
Software-defined storage and server technologies are key components of HCI, enabling businesses to manage their data centers more effectively and reduce costs. Another trend is the increasing importance of data security, which is driving the adoption of HCI solutions that offer advanced security features. Composable infrastructure is also making waves In the HCI market, offering businesses the ability to dynamically allocate resources as needed, providing greater flexibility and efficiency.
IT spending on data center infrastructure and cloud computing is expected to continue to grow, providing ample opportunities for HCI companies. However, the market also faces challenges, such as the need for professional services to deploy and manage HCI solutions, and the complexity of integrating HCI with existing IT environments. Overall, the HCI market is poised for continued growth, driven by the need for agility, efficiency, and data security in today's digital business landscape.

What will be the Size of the Hyper Converged Infrastructure Market During the Forecast Period?

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The market represents a significant shift in IT spending, with organizations increasingly turning to this technology to reduce capital expenditures and optimize operational expenditures. HCI integrates servers, storage, and networking into a single, easy-to-manage solution, enabling businesses to streamline their IT infrastructure and improve disaster recovery capabilities through built-in data deduplication and compression. The market's growth is driven by the increasing demand for scale computing, fueled by the proliferation of digital services, knowledge platforms, and the rise of remote work and online collaboration. HCI's ability to support distributed infrastructure and intelligent software solutions is also a key factor, as businesses seek to enhance data management, security, and digital technology offerings In the face of growing economic conditions and the increasing threat of data breaches.
Hardware requirements, such as solid-state drives and servers, continue to play a critical role in the market, as businesses look to modernize their infrastructure and support the growing number of connected devices. Colocation services and virtual desktops are also gaining popularity, as businesses seek to optimize their data center resources and improve disaster recovery capabilities. Overall, the HCI market is expected to continue its strong growth trajectory, as businesses increasingly adopt this technology to meet their evolving IT needs.

How is this Hyper Converged Infrastructure Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Solutions
  Services


End-user

  Financial services
  Healthcare
  Education
  Government
  Others


Application

  Large enterprises
  SMEs


Type

  Virtual desktop infrastructure
  Data center consolidation
  Virtualizing critical applications
  Backup and disaster recovery
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Component Insights

The solutions segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth due to the increasing demand for cost-effective, efficient, and scalable IT solutions. The market's expansion is primarily driven by the solutions segment, which encompasses hardware components such as CPUs and monitors used in HCI. Integration of advanced hardware, including high-performance processors, solid-state drives (SSDs), and sophisticated networking technologies, is fueling the adoption of HCI solutions. These integrated systems offer organizations a reliable foundation for their IT infrastructure, allowing for streamlined operations, reduced maintenance costs, and enh

HCI reported $2.23B in Assets for its fiscal quarter ending in December of 2024. Data for HCI - Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Germany DE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.807 NA in 2017. Germany DE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.807 NA from Dec 2017 (Median) to 2017, with 1 observations. Germany DE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Chile CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.669 NA in 2017. Chile CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.669 NA from Dec 2017 (Median) to 2017, with 1 observations. Chile CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

HCI reported $152.66M in Operating Expenses for its fiscal quarter ending in December of 2024. Data for HCI - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last June in 2025.

HCI reported $9.15M in EBIT for its fiscal quarter ending in December of 2024. Data for HCI - Ebit including historical, tables and charts were last updated by Trading Economics this last June in 2025.

HCI reported 14.08M in Current Assets for its fiscal quarter ending in September of 2024. Data for HCI - Current Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.