This statistic shows big data technology adoption plans in organizations worldwide from 2015 to 2019. Around 53 percent of respondents stated that their organization currently used big data technologies as of 2019.

The global big data analytics market will grow with a compound annual growth rate of almost 30 percent in the coming years, with revenue reaching over 68 billion U.S. dollars by 2025 from around 15 billion U.S. dollars in 2019.

The global Key-Value Database market, valued at $1288.8 million in 2025, is poised for significant growth. Driven by the increasing adoption of cloud computing, the rise of big data analytics, and the expanding need for high-performance, scalable data storage solutions across various industries, the market is expected to experience substantial expansion throughout the forecast period (2025-2033). The cloud-based segment currently dominates the market, fueled by its inherent flexibility, scalability, and cost-effectiveness. Large enterprises are the primary consumers, leveraging key-value databases for applications demanding rapid data retrieval and high throughput, such as real-time analytics, caching, and session management. However, the on-premises segment continues to hold relevance, particularly among organizations with stringent data security and compliance requirements. Growth is further propelled by the increasing integration of key-value databases with other technologies such as NoSQL databases and distributed systems, offering enhanced functionality and interoperability. Geographic expansion, especially within developing economies of Asia Pacific and Middle East & Africa, will contribute significantly to market expansion. Competitive intensity is high, with established players like AWS, Azure, and others vying for market share alongside specialized providers focusing on specific niches. The market is further segmented based on application, with SMEs showing increasing adoption, driven by affordability and ease of implementation of cloud-based solutions. Despite the robust growth projections, the market faces certain challenges. Concerns around data security and privacy, especially within sensitive industries, coupled with the complexity of managing and scaling key-value databases can impede wider adoption. Furthermore, the need for specialized skills to effectively operate and maintain these systems can be a barrier to entry for smaller organizations. However, the ongoing development of user-friendly management tools and improved data security protocols will likely mitigate these concerns, fostering further market penetration. Overall, the Key-Value Database market is expected to remain a dynamic and competitive landscape with significant growth potential over the next decade.

The relational database management system (RDBMS) market is poised to grow at a substantial CAGR of 6.62% over the forecast period from 2025 to 2033. This growth can be attributed to the increasing adoption of cloud-based RDBMS, the growing volume of data generated by businesses, and the need for efficient data management solutions. Additionally, the adoption of RDBMS in emerging sectors such as healthcare, retail, and telecommunications is expected to drive market growth. Key market drivers include the growing demand for data analytics, the need for improved data management, and the increasing adoption of cloud computing. However, the market growth may be hindered by the high cost of implementation and maintenance of RDBMS and the lack of skilled professionals. Some of the key players in the RDBMS market include IBM, SAP SE, Oracle, Amazon, and MariaDB Corporation. The market is expected to be dominated by North America and Europe, owing to the presence of a large number of established vendors and early adoption of RDBMS in these regions. The global relational database management system (RDBMS) market is projected to reach USD 128.02 billion by 2028, exhibiting a CAGR of 5.0% during the forecast period. The increasing adoption of cloud-based RDBMS solutions, growing demand for data analytics, and stringent data privacy regulations are key factors driving market growth. Key drivers for this market are: Cloud-based RDBMS adoption, Integration with AI technologies; Enhanced data security solutions; Growth in IoT applications; Demand for real-time analytics. Potential restraints include: Cloud adoption increase, Data security concerns; Rising big data analytics; Growing IoT integration; Demand for automation tools.

The global Database as a Service (DaaS) market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for scalable and cost-effective data management solutions, and the rising demand for big data analytics. The market is characterized by a high concentration of major players, including Amazon Web Services, IBM, Microsoft, and Oracle, who are constantly innovating and expanding their DaaS offerings. The market's growth is further fueled by the proliferation of mobile and IoT devices generating massive amounts of data that need efficient storage and processing. Businesses across diverse sectors are migrating their on-premise databases to the cloud to benefit from enhanced security, improved performance, and reduced infrastructure costs. While the initial investment might be a barrier to entry for some smaller businesses, the long-term cost savings and scalability advantages are significant drivers of market expansion. Segments such as cloud-based databases (Type) and their applications in diverse sectors like finance, healthcare, and e-commerce are witnessing particularly strong growth. Regional variations exist, with North America and Europe currently holding significant market shares, driven by early adoption of cloud technologies and a robust IT infrastructure. However, the Asia-Pacific region is expected to experience rapid growth in the coming years, fueled by increasing digitalization and expanding internet penetration. The forecast period (2025-2033) anticipates continued expansion of the DaaS market. While competitive intensity amongst major players will remain high, opportunities abound for niche players focusing on specific industry solutions or offering specialized DaaS services. Furthermore, the emergence of new technologies, such as serverless databases and AI-powered database management tools, is expected to further drive innovation and market expansion. Challenges such as data security concerns and regulatory compliance requirements will need to be addressed to ensure continued growth and maintain consumer trust. We can expect to see further consolidation in the market as companies seek to expand their capabilities and market reach. The overall trend points towards an increasingly sophisticated and competitive DaaS landscape that caters to a diverse range of user needs and technological advancements.

The global Data Warehousing Software market is experiencing robust growth, driven by the increasing need for businesses to analyze large volumes of data for improved decision-making. The market, estimated at $50 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors, including the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, the proliferation of big data technologies requiring efficient warehousing solutions, and the growing demand for advanced analytics capabilities across various industries. The BFSI (Banking, Financial Services, and Insurance) sector remains a dominant adopter, leveraging data warehousing for risk management, fraud detection, and customer relationship management. However, growth is also significant in other sectors such as healthcare (for patient data analysis), government and education (for performance tracking and resource allocation), and manufacturing and distribution (for supply chain optimization). The competitive landscape is marked by established players like IBM, Microsoft, and Oracle, alongside emerging cloud-native providers like Snowflake, actively innovating and expanding their offerings. The continued growth in the data warehousing software market is expected to be further propelled by the increasing adoption of artificial intelligence (AI) and machine learning (ML) for data analysis. This integration allows businesses to derive more valuable insights from their data, leading to better strategic decision-making and improved operational efficiency. While the market faces challenges such as data security concerns and the complexity of implementing and managing large-scale data warehousing systems, the overall outlook remains optimistic. The increasing availability of skilled professionals and ongoing technological advancements are mitigating these restraints, ensuring the sustained growth trajectory of the data warehousing software market over the forecast period. Specific regional growth will vary, with North America and Europe initially holding larger market shares due to established technological infrastructure and adoption rates, but rapid growth is anticipated in Asia Pacific, driven by increasing digitalization and economic development.

The global database management system (DBMS) market size reached USD 117.4 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 367.0 Billion by 2033, exhibiting a growth rate (CAGR) of 12.42% during 2025-2033. The proliferation of big data across various industries, adoption of cloud computing technologies, growing demand for IoT devices, and heightened concerns over data security are primarily driving the industry's growth.

IMARC Group provides an analysis of the key trends in each segment of the global database management system (DBMS) market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on type, database type, deployment mode, organization size, and application.

The Database Monitoring Tool market is experiencing robust growth, driven by the increasing complexity of database environments and the rising need for proactive performance management. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors. The expanding adoption of cloud-based databases and the proliferation of big data applications are compelling organizations to adopt sophisticated monitoring solutions to ensure optimal performance, availability, and security. Furthermore, the increasing prevalence of DevOps methodologies and the focus on automation are driving demand for integrated and automated database monitoring tools. The shift towards hybrid cloud environments also presents a significant opportunity for vendors offering solutions that seamlessly monitor databases across different deployment models. While the market is fragmented, with numerous players vying for market share, established vendors with robust feature sets and strong customer support are expected to maintain a competitive edge. The segmentation of the market, based on deployment (cloud-based and on-premises) and target customer size (large enterprises and SMEs), reveals varying growth trajectories. Cloud-based solutions are expected to lead the market, reflecting the overall trend towards cloud adoption. Large enterprises are likely to drive higher spending due to their more complex database environments and higher tolerance for premium solutions. Geographic regions like North America and Europe will maintain a significant market share, owing to higher technology adoption rates and advanced IT infrastructure. However, regions such as Asia-Pacific are projected to witness strong growth due to the rapidly expanding digital economy and increasing adoption of cloud technologies. Restraints on growth include the high initial investment costs associated with implementing comprehensive monitoring solutions and the need for skilled personnel to effectively manage and interpret the data generated. The competitive landscape is marked by a blend of established players and emerging startups. Established vendors like Dynatrace, Datadog, and SolarWinds leverage their brand recognition and extensive product portfolios to maintain a significant market presence. However, agile startups are rapidly innovating and offering specialized solutions that cater to specific niche markets and customer needs. This competitive environment is fostering innovation, leading to the development of more sophisticated and user-friendly database monitoring tools. The market is likely to see further consolidation through mergers and acquisitions as established players seek to expand their capabilities and market reach. The continuous evolution of database technologies and the increasing importance of data security will continue to shape the future of the database monitoring tool market, demanding solutions that are capable of adapting to these changes.

The global Relational Database Management System (RDBMS) market is anticipated to expand significantly over the forecast period of 2023-2033. In 2023, the market was valued at USD 43.93 billion and is projected to reach USD 103.78 billion by 2033, exhibiting a CAGR of 9.7% during the forecast period. The increasing adoption of cloud-based RDBMS solutions, the growing need for data security and compliance, and the rising demand for data analytics drive market growth. The market is segmented based on type into on-premise and cloud-based solutions. The cloud-based segment is expected to witness substantial growth due to its cost-effectiveness, scalability, and ease of deployment. In terms of application, the BFSI, IT and telecom, and retail and e-commerce sectors are the major contributors to the market. The healthcare and manufacturing sectors are also expected to experience significant growth in the coming years. Key players in the market include Oracle Corporation, Microsoft Corporation, SAP SE, Teradata Corporation, and International Business Machines Corporation. The global Relational Database Management System (RDBMS) market is valued at USD 65 billion in 2022 and is projected to grow to USD 115 billion by 2029, exhibiting a CAGR of 8.5% during the forecast period. The market is driven by the need for efficient data management, the rise of cloud computing, the growing adoption of big data analytics, and increasing regulatory compliance requirements.

The In-Memory Data Grid (IMDG) market is experiencing robust growth, projected to reach $2.06 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 11.64% from 2025 to 2033. This expansion is driven by the increasing need for real-time data processing and analytics across diverse industries. The demand for faster transaction speeds, improved application performance, and enhanced data scalability is fueling the adoption of IMDG solutions. Key drivers include the rise of big data analytics, the proliferation of IoT devices generating massive data streams, and the growing adoption of cloud-based deployments which offer flexibility and scalability. Trends such as the integration of artificial intelligence (AI) and machine learning (ML) algorithms with IMDG platforms are further accelerating market growth. While the market faces constraints such as the complexity of implementation and the need for specialized expertise, the overall growth trajectory remains positive, fueled by ongoing technological advancements and increasing enterprise adoption. The market is segmented by deployment, with cloud-based deployments gaining significant traction due to their inherent scalability and cost-effectiveness. Leading players such as IBM, Oracle, and Redis are actively competing through innovation, strategic partnerships, and acquisitions. Geographic expansion is also a major factor; North America currently holds a substantial market share, but APAC regions like China and Japan are exhibiting rapid growth due to increasing digitalization and investment in technological infrastructure. The competitive landscape is highly dynamic, with companies focusing on developing advanced features, such as enhanced security, improved data management capabilities, and better integration with existing enterprise systems. The long-term outlook for the IMDG market remains exceptionally promising as enterprises across various sectors strive to leverage real-time data insights for enhanced operational efficiency and competitive advantage.

The size and share of the market is categorized based on Application (Enterprise Resource Planning, Business Intelligence, Big Data Analytics, Cloud Computing) and Product (Database Management Systems, Data Warehouses, Data Lakes, Data Marts, Data Integration Tools) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Additional file 3. Additional Reference List. A comprehensive list of references to the PubChem datasets used within MolData as well as their corresponding ChEMBL datasets.

Data model to generate datasets used in the tests of the article: Synthetic Datasets Generator for Testing Techniques and Tools of Information Visualization and Machine Learning.

Big data integration theory : theory and methods of database mappings, programming languages, and semantics is a book. It was written by Zoran Majkić and published by : Springer in 2014.

The global Database as a Service (DBaaS) platform market is estimated to be valued at [USD 34.5 billion] in 2025 and is projected to reach [USD 112.6 billion] by 2033, exhibiting a [CAGR] of 14.9% during the forecast period (2025-2033). This growth can be attributed to the increasing adoption of cloud-based services, the growing need for data storage and management, and the rising popularity of big data analytics. The key drivers of the DBaaS platform market include the increasing adoption of cloud-based services by enterprises, the growing need for data storage and management, the rising popularity of big data analytics, and the increasing demand for data security and compliance. The major trends in the DBaaS platform market include the emergence of NoSQL databases, the adoption of artificial intelligence (AI) and machine learning (ML) in DBaaS platforms, and the growing popularity of multi-cloud and hybrid cloud deployments. The key restraints in the DBaaS platform market include the high cost of implementation, the security and privacy concerns associated with cloud-based services, and the lack of skilled professionals. The major segments in the DBaaS platform market include type (private cloud, public cloud, hybrid cloud), application (large enterprises, SMEs), and region (North America, Europe, Asia Pacific, Middle East & Africa, South America). The major companies in the DBaaS platform market include AWS, Caspio, DataStax, Fusioo, Google, IBM, Kintone, Microsoft, MongoDB, Ninox, Oracle, SAP, Zoho Corporation, and others.

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: site_id, Prmnn_I, GNIS_ID, GNIS_Nm, ReachCd, FType, FCode, which are defined below.

The global cloud-based database market is projected to grow exponentially from a market value of $30,860 million in 2025 to $302,440 million by 2033, exhibiting a remarkable CAGR of 53.6% during the forecast period. This significant growth can be attributed to the increasing adoption of cloud computing, the rising demand for data storage and management solutions, and the growing popularity of big data analytics. Additionally, the need for cost-effective and flexible database solutions is further driving the market's expansion. The cloud-based database market is segmented based on application (small and medium businesses, large enterprises) and type (SQL database, NoSQL database). Key players in the market include Amazon Web Services, Google, IBM, Microsoft, Oracle, and Rackspace Hosting. Regionally, North America holds the largest market share, followed by Europe and Asia Pacific. The market is expected to witness continued growth in all regions, with Asia Pacific showcasing the highest growth potential. Overall, the market outlook remains positive, with increasing demand for cloud-based database solutions in various industries, including healthcare, finance, and retail.

T10I4D100K is a renowned synthetic database generated using the IBM Quest generator. This database is widely used to evaluate various frequent and correlated pattern mining algorithms.

The global in-memory database market size was valued at USD 10.5643 billion in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 16.19% during the forecast period (2025-2033). The growth of the market is attributed to the increasing adoption of in-memory databases in various industries to improve data processing speed and performance. In-memory databases store data in the computer's main memory (RAM) instead of on a physical disk, which allows for faster data access and retrieval. Key market drivers include the growing volume of data, the need for real-time data analysis, and the increasing adoption of cloud computing. The growing volume of data, often referred to as "big data," is a significant factor driving market growth. The need for real-time data analysis is another key driver, as in-memory databases can provide faster data access than traditional databases. The increasing adoption of cloud computing is also driving market growth, as cloud-based in-memory databases offer scalability and flexibility. Recent developments include: March 2023: SAP revealed SAP Datasphere, the company's next-gen data management system. It gives customers easy access to business-ready data across the data landscape. SAP also announced strategic agreements with top data and AI companies, including Collibra NV, Confluent Inc., Databricks Inc., and DataRobot Inc., to improve SAP Datasphere and allow organizations to build a unified data architecture that securely combines SAP software data and non-SAP data., June 2023: IBM has released a new tool to aid corporations in monitoring their carbon footprint pollution across cloud services and improve their sustainability as they move to hybrid and multi-cloud environments. The IBM Cloud Carbon Calculator, an AI-powered dashboard, is now available to everyone. It can help clients access emissions data for various IBM Cloud tasks, such as AI, high-performance computing (HPC), and financial services., SingleStoreDB for December 2022 was announced last year by IBM and SingleStore. With IBM introducing SingleStoreDB as a solution, businesses are now moving forward in their strategic relationship to deliver the quickest, most scalable data platform that supports data-intensive programs. For Azure, AWS, and Microsoft Azure marketplace, IBM has released SingleStoreDB as a service., In April 2022, McObject issued the eXtremeDB/rt database management system (DBMS) for Green Hills Software’s Integrity RTOS. The first-ever commercial off-the-shelf (COTS) real-time DBMS satisfying basic criteria of temporal and deterministic consistency in data is known as eXtremeDB/rt. It was initially conceived and built as an integrated in-memory database system for embedded systems., November 2022: Redis, provider of real-time in-memory databases, and Amazon Web Services have formed a multi-year strategic alliance. It is a networked open-source NoSQL system that stores data on disk for durability before moving it to DRAM as required. As such, it can be used as a message broker cache, streaming engine, or database., December 2022: The largest Indian stock exchange, National Stock Exchange, opted for Raima Database Manager (RDM) Workgroup 12.0 In-Memory System as its foundational component for upcoming versions of its trading platform front-end called National Exchange for Automated Trading (NEAT)., On January 13th, 2021, Oracle launched Oracle Database 21c – the latest version of the world’s leading converged database available on Oracle Cloud with the Always Free tier of Oracle Autonomous Database included. It includes more than two hundred new features, according to Oracle’s press release, including immutable blockchain tables; In-Database JavaScript; native JSON binary data type; AutoML for in-database machine learning (ML); persistent memory store; enhancements, including improvements regarding graph processing performance that support sharding, multitenant, and security., Stanford engineers have developed a new chip to increase the efficiency of AI computing in August 2022. Stanford engineers have created a more efficient and flexible AI chip that could bring the power of AI into tiny edge devices., In-Memory Database Market Segmentation,

Relational

NoSQL

NewSQL

,

Online Analytical Processing (OLAP)

Online Transaction Processing (OLTP)

,

Transaction

Reporting

Analytics

,

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia-Pacific

China

Japan

India

Australia

South Korea

Australia

Rest of Asia-Pacific

Rest of the World

Middle East

Africa

Latin America

, . Potential restraints include: Security And Data Privacy Concerns 26.