The Regional Innovation Clusters serve a diverse group of sectors and geographies. Three of the initial pilot clusters, termed Advanced Defense Technology clusters, are specifically focused on meeting the needs of the defense industry. The Wood Products Cluster, debuted in 2015, supports the White House’s Partnerships for Opportunity and Workforce and Economic Revitalization (POWER) Initiative for coal communities. All of the clusters support small businesses by fostering a synergistic network of small and large businesses, university researchers, regional economic organizations, stakeholders, and investors, while providing matchmaking, business training, counseling, mentoring, and other services to help small businesses expand and grow.

The Information Technology Application Innovation Databases market is experiencing robust growth, driven by the increasing adoption of cloud computing, big data analytics, and the expanding need for efficient data management solutions across diverse industries. The market's substantial size, estimated at $50 billion in 2025, reflects a significant investment in advanced database technologies. This growth is fueled by factors such as the rise of AI and machine learning applications which are heavily reliant on robust and scalable databases, the increasing volume and complexity of data requiring sophisticated management solutions, and the ongoing digital transformation initiatives within enterprises worldwide. A compound annual growth rate (CAGR) of 15% is projected from 2025 to 2033, indicating sustained market expansion. This growth is further propelled by the continuous innovation in database technologies, including NoSQL databases, cloud-native databases, and graph databases, each catering to specific application needs. Key players like Oracle, Microsoft, Amazon, IBM, and others are heavily invested in R&D, fostering competition and driving innovation, resulting in a dynamic and evolving market landscape. However, market growth may face challenges. The high cost of implementation and maintenance of advanced database systems, especially for smaller businesses, could act as a restraint. Similarly, the complexity involved in data migration from legacy systems to modern cloud-based databases could pose a significant hurdle for some organizations. Furthermore, security concerns and data privacy regulations increasingly necessitate robust security protocols and compliance measures, impacting overall database adoption. Nevertheless, the long-term outlook remains positive, fueled by the ever-increasing demand for data-driven decision-making across various sectors, leading to continued investment in sophisticated database management systems. Segmentation analysis reveals strong growth in cloud-based databases, driven by scalability, cost-efficiency, and accessibility advantages. The market is geographically diverse, with North America and Europe currently holding the largest market share, yet rapid growth is anticipated in the Asia-Pacific region fueled by emerging economies' digitalization efforts.

The global Information Technology Application Innovation Databases market is experiencing robust growth, driven by the increasing adoption of cloud computing, the rise of big data analytics, and the expanding need for sophisticated data management solutions across diverse sectors. The market's expansion is fueled by several key factors. Firstly, the surge in digital transformation initiatives across industries like smart government, information security, and digital industrialization is creating a significant demand for advanced database technologies capable of handling vast and complex datasets. Secondly, the shift towards cloud-based databases offers scalability, cost-effectiveness, and enhanced accessibility, further propelling market growth. Thirdly, the development of innovative database solutions, such as NoSQL and NewSQL databases, caters to the specific requirements of diverse applications, expanding the market's addressable audience. While factors such as data security concerns and the complexity of migrating to new database systems pose some restraints, the overall market outlook remains optimistic. The market is segmented by database type (RDBMS and NoSQL) and application (Smart Government Affairs, Information Security, Industry Digitalization, Digital Industrialization, and Others). RDBMS databases like Oracle, DB2, Microsoft SQL Server, and MySQL continue to hold significant market share, particularly in established enterprise environments. However, the adoption of NoSQL databases, including MongoDB, Cassandra, and Neo4j, is rapidly increasing, driven by their scalability and flexibility in handling unstructured data. Geographically, North America and Europe currently dominate the market, but the Asia-Pacific region is projected to witness the fastest growth rate due to increasing digitalization efforts and rising investments in IT infrastructure. The market is highly competitive, with major players like Oracle, IBM, Microsoft, Amazon, and Google constantly innovating to maintain their market positions and cater to the evolving demands of their customers. Over the forecast period (2025-2033), continued technological advancements and expanding application areas will drive substantial market expansion.

The global Information Technology Application Innovation Databases market is experiencing robust growth, driven by the increasing adoption of cloud computing, big data analytics, and the digital transformation initiatives across various sectors. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. Key drivers include the rising demand for real-time data processing, enhanced data security needs across sectors like Smart Government Affairs and Information Security, and the accelerating digitalization of industries. The market is segmented by database type (RDBMS and NoSQL) and application (Smart Government Affairs, Information Security, Industry Digitalization, Digital Industrialization, and Others). RDBMS currently holds a larger market share due to its established presence and maturity, but NoSQL databases are gaining traction, fueled by the need for scalability and flexibility in handling unstructured data. The strong growth in the Asia-Pacific region, particularly in China and India, is further contributing to the overall market expansion, driven by rapid technological advancements and increasing government investments in digital infrastructure. However, challenges like data privacy concerns, the complexity of database management, and the high initial investment costs act as restraints. The competitive landscape is highly fragmented, with major players including Oracle, IBM, Microsoft, Amazon (AWS), and Google Cloud Platform offering a range of database solutions. These companies are constantly innovating to improve performance, security, and scalability, leading to increased competition and fostering market growth. The shift toward cloud-based database solutions is a prominent trend, offering businesses scalability, cost-effectiveness, and improved accessibility. The convergence of databases with artificial intelligence (AI) and machine learning (ML) is also emerging as a key trend, enabling more intelligent data analysis and decision-making. Future growth will be significantly influenced by the adoption of advanced technologies like blockchain, serverless computing, and edge computing within database management systems. Continued investment in research and development will be crucial for companies to maintain their competitive edge in this rapidly evolving market.

Abstract

The study was conducted in Serbia between October 2008 and February 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 135 manufacturing companies with 50 to 5,000 full-time employees was analyzed.

The survey topics include detailed information about a company and its management practices - production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment is defined as a separate production unit, regardless of whether or not it has its own financial statements separate from those of the firm, and whether it has it own management and control over payroll. So the bottling plant of a brewery would be counted as an establishment.

Universe

The survey universe was defined as manufacturing establishments with at least fifty, but less than 5,000, full-time employees.

Kind of data

Sample survey data [ssd]

Sampling procedure

Random sampling was used in the study. For all MOI countries, except Russia, there was a requirement that all regions must be covered and that the percentage of the sample in each region was required to be equal to at least one half of the percentage of the sample frame population in each region.

In most countries the sample frame used was an extract from the Orbis database of Bureau van Dijk, which was provided to the Consultant by the EBRD. The sample frame contained details of company names, location, company size (number of employees), company performance measures and contact details. The sample frame downloaded from Orbis was cleaned by the EBRD through the addition of regional variables, updating addresses and phone numbers of companies.

Examination of the Orbis sample frames showed their geographic distributions to be wide with many locations, a large number of which had only a small number of records. Each establishment was selected with two substitutes that can be used if it proves impossible to conduct an interview at the first establishment. In practice selection was confined to locations with the most records in the sample frame, so the sample frame was filtered to just the cities with the most establishments.

The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys. For Serbia, the percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 26.7% (82 out of 307 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

Two different versions of the questionnaire were used. Questionnaire A was used when interviewing establishments that are part of multiestablishment firms, while Questionnaire B was used when interviewing single-establishment firms. Questionnaire A incorporates all questions from Questionnaire B, the only difference is in the reference point, which is the so-called national firm in the first part of Questionnaire A and firm in Questionnaire B. Second part of the questionnaire refers to the interviewed establishment only in both Questionnaire A and Questionnaire B. Each variation of the questionnaire is identified by the index variable, a0.

Response rate

Item non-response was addressed by two strategies: - For sensitive questions that may generate negative reactions from the respondent, such as ownership information, enumerators were instructed to collect the refusal to respond as (-8). - Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

Survey non-response was addressed by maximising efforts to contact establishments that were initially selected for interviews. Up to 15 attempts (but at least 4 attempts) were made to contact an establishment for interview at different times/days of the week before a replacement establishment (with similar characteristics) was suggested for interview. Survey non-response did occur, but substitutions were made in order to potentially achieve the goals.

Additional information about sampling, response rates and survey implementation can be found in "MOI Survey Report on Methodology and Observations 2009" in "Technical Documents" folder.

Open Science and Open Innovation database

The global database market, currently valued at $131.67 billion (2025), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 14.21% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of cloud-based solutions offers scalability and cost-effectiveness, fueling market expansion. Furthermore, the burgeoning demand for real-time data analytics across diverse sectors, including BFSI (Banking, Financial Services, and Insurance), retail & e-commerce, and healthcare, is significantly boosting database market growth. The rise of big data and the need for robust data management solutions to handle massive datasets are other significant contributors. While on-premises deployments still hold a significant market share, particularly among large enterprises with stringent security requirements, the cloud segment is projected to witness the highest growth rate over the forecast period. The market is segmented by deployment (cloud, on-premises), enterprise size (SMEs, large enterprises), and end-user vertical (BFSI, retail & e-commerce, logistics & transportation, media & entertainment, healthcare, IT & telecom, others). Competition is intense, with established players like MongoDB, MarkLogic, Redis Labs, and Teradata alongside tech giants such as Microsoft, Amazon, and Google vying for market share through innovation and strategic partnerships. The competitive landscape is characterized by both established vendors and new entrants, leading to continuous innovation in database technologies. The market is witnessing a shift towards NoSQL databases, driven by the need to handle unstructured data and the increasing popularity of cloud-native applications. However, challenges such as data security concerns, the complexity of managing distributed database systems, and the need for skilled professionals to manage and maintain these systems pose potential restraints. The market's growth trajectory is largely positive, with continued expansion anticipated across all key segments and regions. North America and Europe are currently the dominant markets, but rapid growth is expected in Asia-Pacific, driven by increased digitalization and technological advancements in developing economies such as India and China. This comprehensive report provides an in-depth analysis of the global database market, encompassing historical data (2019-2024), current estimates (2025), and future forecasts (2025-2033). It examines key market segments, growth drivers, challenges, and emerging trends, offering valuable insights for businesses, investors, and stakeholders seeking to navigate this dynamic landscape. The study period covers the significant evolution of database technologies, from traditional relational databases to the rise of NoSQL and cloud-based solutions. The report utilizes a robust methodology and extensive primary and secondary research to provide accurate and actionable market intelligence. Keywords include: database market size, database market share, cloud database, NoSQL database, relational database, database management system (DBMS), database market trends, database market growth, database technology. Recent developments include: January 2024: Microsoft and Oracle recently announced the general availability of Oracle Database@Azure, allowing Azure customers to procure, deploy, and use Oracle Database@Azure with the Azure portal and APIs.November 2023: VMware, Inc. and Google Cloud announced an expanded partnership to deliver Google Cloud’s AlloyDB Omni database on VMware Cloud Foundation, starting with on-premises private clouds.. Key drivers for this market are: Increasing Penetration Of Trends Like Big Data And IoT, Increase In The Volume Of Data Generated And Shift Of Enterprise Operations. Potential restraints include: Increasing Penetration Of Trends Like Big Data And IoT, Increase In The Volume Of Data Generated And Shift Of Enterprise Operations. Notable trends are: Retail and E-commerce to Hold Significant Share.

To create and promote comprehensive regional innovation policy, it is important to have valid, comparable, and standardized innovation survey data from different countries in Latin America. The Harmonized Latin American Innovation Surveys Database (LAIS) contains nearly 690 variables and 119,900 observations at the firm level. Data are from 30 national innovation surveys conducted between 2007 and 2017 in 10 Latin American countries. The dataset increases the number of countries of the region with publicly available microdata about innovation at the firm level. The corresponding IDB technical note describes how criteria were applied to identify and select variables, whose data measure the same underlying concept, from substantially diverse innovation survey methods and questionnaires used in different Latin American countries. The availability of these data will allow more scholars to research innovation in Latin American firms and address long-standing unanswered questions about the relative importance a variety of factors driving innovation decisions in Latin American firms.

Welcome to the 2023 Annual Report for the City of Detroit’s Open Data Portal (ODP). In it you will find an overview of open data initiatives, goals, work performed in the past year, and plans/recommendations for the coming year. None of this work would be possible without the City’s Open Data Team, which is almost entirely funded through the Connect 313 Digital Inclusion Data Operation American Rescue Plan project.

The report is divided into thirteen sections, and we chose the story map format for ease of use in terms of navigation, incorporation of graphic design elements, and interaction with open datasets and tools. Users can quickly jump to any section using the tabs at the top of the page, and are encouraged to explore, and interact with, every element of the report.

The Innovation Center Model Participants dataset contains information on current CMS Innovation Center models, demonstrations, initiatives, and programs. This can include the name of the initiative, organization name, location information, address, phase of participation, social media and website URLs, Metropolitan Statistical Area, categories related to health care quality, cost, payment, and delivery, among others. Information on past participants can be found below under resources.

The objective of the present database is to provide an exhaustive as possible list of direct and deliberative democratic innovations worldwide, of their core contextual and institutional features and, most importantly, of the population size of the political entity in which they have been implemented. Studying the impact of political entities’ population size on the functioning of democratic innovations is the main interest of the ‘Democratic Innovations and Scale’ research project that this database is part of. To establish the database, I drew on the most exhaustive existing databases on direct as well as on deliberative democratic innovations to date (as cited in the method, acknowledgements and citation section of the sheet). After merging databases and eliminating duplicates, I filtered the cases that were in line with the selection criteria of my own research (see criteria specified in the method, acknowledgements and citation section of the sheet). Excluded cases are documented in a separate sheet. For the final list of retained cases, the population size of the political entity in which they were conducted was collected based on World Bank, Database Earth or national census data. Latest version: 1.0 [06.11.2024].

Data-Driven Innovation account, Iteration 1, Fiscal year 2025

The dataset is a synthetic cohort for use for the VHA Innovation Ecosystem and precisionFDA COVID-19 Risk Factor Modeling Challenge. The dataset was generated using Synthea, a tool created by MITRE to generate synthetic electronic health records (EHRs) from curated care maps and publicly available statistics. This dataset represents 147,451 patients developed using the COVID-19 module. The dataset format conforms to the CSV file outputs. Below are links to all relevant information. PrecisionFDA Challenge: https://precision.fda.gov/challenges/11 Synthea hompage: https://synthetichealth.github.io/synthea/ Synethea GitHub repository: https://github.com/synthetichealth/synthea Synthea COVID-19 Module publication: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531559/ CSV File Format Data Dictionary: https://github.com/synthetichealth/synthea/wiki/CSV-File-Data-Dictionary

This document includes data from International Development Innovation Network (IDIN) program monitoring and evaluation surveys from 2014-2017. IDIN was a program led by the Massachusetts Institute of Technology’s D-Lab, implemented by a global consortium of academic, institutional, and innovation center partners, and supported by USAID’s Higher Education Solutions Network in the U.S. Global Development Lab. Together with IDIN Network members and partners the D-Lab team worked to support innovators and entrepreneurs around the globe to design, develop, and disseminate technologies to improve the lives of people living in poverty. The program consisted of five components: design workshops and summits, innovation project funding, local innovation centers, research, and MIT student engagement.

Download Free Sample
The data center market in southeast asia is significantly competitive due to the presence of multiple international and regional vendors. The market vendors are increasingly focusing on quality, pricing, and innovation to strengthen their position in the data center market in southeast asia. The market players also adopt several business strategies to boost their profit margins and market share and sustain their dominance in the market.

Some of the key vendors operating in the global data center market in southeast asia are:

Alphabet Inc.Amazon.com Inc.Colt Technology Services Group Ltd.Digital Realty Trust Inc.Equinix Inc.Global Switch Holdings Ltd.International Business Machines Corp.Microsoft Corp.NTT Communications Corp.Singapore Telecommunications Ltd.

Technological innovation market diffusion data.Principal dataset sources.----The Cross-country Historical Adoption of Technology (CHAT) Dataset. No. w15319. National Bureau of Economic Research, 2009. [67]Discovered via Horace Dediu, Clayton Christensen Institute. [68]Note: Only U.S. data was extracted and used.----Comin, D.A., & Hobijn, B. (2004). Cross-country technology adoption: making the theories face the facts. Journal of Monetary Economics 51.1 (2004): 39-83. [69]Discovered via Ritchie, H., & Roser, M. (2017). Technology Diffusion & Adoption. [70]Note: Only U.S. data was extracted and used.----Cox, W. M., & Alm, R. (1997). Time Well Spent: The Declining Real Cost of Living in America. Annual Report Federal Reserve Bank of Dallas, pages 2-24 [71]Derived and built from American Association of Home Appliance Manufacturers; Cellular Telephone Industry Association; Electrical Merchandising, various issues; Information Please Almanac; Public Roads Administration; Television Bureau of Advertising; U.S. Bureau of the Census (Census of Housing; Current Population Reports; Historical Statistics of the United States, Colonial Times to 1970; Statistical Abstract of the United States); U.S. Department of Energy; U.S. Department of Transportation.

Use Cambridge's open data to help our city come up with innovative solutions to its biggest challenges. This dataset lists city issues that you can help us solve by analyzing or hacking on our open data. It's certainly not an exhaustive list, but we hope it will at least point you in the right direction. Feel free to reach out at OpenData@cambridgema.gov with questions or ideas. Thanks for your help. We're glad you're on our team!

Relational Databases Software Market Outlook

The global relational databases software market size is projected to expand from an estimated $50 billion in 2023 to approximately $85 billion by 2032, growing at a compound annual growth rate (CAGR) of 6%. The primary drivers of this growth include the increasing reliance on data-driven decision-making processes, the surge in big data analytics, and the proliferation of cloud computing technologies. As organizations across various sectors accumulate vast amounts of data, the requirement for efficient data management and storage solutions becomes critical, further propelling the market's expansion.

One of the major growth factors driving the relational databases software market is the exponential increase in data generation from various sources, such as social media, IoT devices, and enterprise applications. With the advent of technologies like machine learning and artificial intelligence, the need to store, retrieve, and analyze massive datasets in real-time has become paramount. Relational databases software offers a structured way to manage data, providing quick access and robust querying capabilities, which are essential for leveraging data insights to drive business strategies.

Another significant growth factor is the widespread adoption of cloud computing. Cloud-based relational database solutions offer numerous advantages over traditional on-premises systems, such as scalability, flexibility, cost-effectiveness, and ease of maintenance. Many organizations are migrating their data management systems to the cloud to benefit from these advantages. Cloud vendors like Amazon Web Services, Microsoft Azure, and Google Cloud are continually enhancing their database offerings, adding advanced features to attract more customers, thereby fueling market growth.

The increasing trend toward digital transformation across various industries also contributes to the market's growth. As businesses strive to stay competitive in the digital age, they are investing heavily in modernizing their IT infrastructure, including their database management systems. Relational databases software enables organizations to handle complex transactions and support high-volume operations efficiently. This capability is particularly crucial for sectors such as banking and finance, healthcare, and retail, where data integrity and availability are critical for operations.

Regionally, North America currently holds the largest market share due to the early adoption of advanced technologies and the presence of major market players. Europe follows closely, with significant investments in digital transformation initiatives. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This growth can be attributed to the rapid technological advancements, increasing internet penetration, and the growing number of small and medium enterprises in countries like China and India. Governments in these regions are also promoting digital initiatives, further boosting market growth.

Deployment Mode Analysis

The relational databases software market is segmented by deployment mode into on-premises and cloud-based solutions. The on-premises segment, traditionally the dominant mode, involves deploying the database software within an organization's own IT infrastructure. This deployment mode offers stringent control over data security and compliance, making it a preferred choice for industries with critical data privacy concerns, such as banking and government sectors. Despite a gradual shift towards cloud solutions, on-premises deployments continue to be relevant due to these security advantages.

However, the cloud-based deployment mode is experiencing rapid growth and is expected to dominate the market by 2032. Cloud databases offer unparalleled scalability and flexibility, allowing organizations to scale their database capacity up or down based on demand. This elasticity is particularly beneficial for businesses with variable workloads, such as e-commerce platforms during peak shopping seasons. Additionally, cloud databases significantly reduce the need for heavy upfront capital expenditure in IT infrastructure, as they operate on a subscription or pay-as-you-go model, which is financially appealing to many enterprises.

Another factor contributing to the rise of cloud-based databases is the continuous innovation by leading cloud service providers. Companies like Amazon Web Services, Google Cloud Platform, and Microsoft Azure are integrating advanced features such as a

The data were analysed in the framework of the research project "Historical Innovation Indicators".

France: Innovations index (0-100): The latest value from 2024 is 55.4 points, a decline from 56.02 points in 2023. In comparison, the world average is 31.57 points, based on data from 132 countries. Historically, the average for France from 2011 to 2024 is 53.69 points. The minimum value, 49.3 points, was reached in 2011 while the maximum of 56.02 points was recorded in 2023.