This dataset contains information about all publications collected from the Scopus database using the keywords of (“data market*”) and (“data marketplace*”). The dataset was extracted on 6 July 2020. The dataset is a supplementary document of the article entitled “Business Data Sharing through Data Marketplaces: A Systematic Literature Review”. The dataset contains nine sheets.

The global data marketplace market is experiencing robust growth, driven by the increasing volume of data generated across various sectors and the rising demand for data-driven insights. This market is projected to reach a substantial size, with a Compound Annual Growth Rate (CAGR) fueling this expansion. While the exact figures for market size and CAGR aren't provided, considering the rapid advancements in data analytics, the proliferation of IoT devices, and the increasing adoption of data monetization strategies, a reasonable estimate for the market size in 2025 could be in the range of $15 billion, growing to approximately $30 billion by 2033, representing a healthy CAGR of around 15%. This growth is fueled by several key drivers, including the expanding need for real-time data analysis across sectors like finance, e-commerce, and healthcare; the emergence of advanced data management and analytics technologies; and a growing awareness of the value of data as a strategic asset. The market is segmented by type (personal, business, sensor) and application (finance, e-commerce, transportation, medical, government, energy, others), reflecting the diverse applications of data marketplaces across various industries. The business segment currently holds a significant market share, driven by the increasing adoption of data-driven decision-making by enterprises. However, significant growth is anticipated in the personal and sensor segments, fueled by the rising adoption of wearables and IoT devices, leading to an increase in personal data generation and the need for effective data management solutions. Geographic expansion, particularly in developing economies with rapidly growing digital infrastructure and increasing data generation, will contribute significantly to the market's growth in the forecast period. However, challenges such as data privacy concerns, regulatory complexities, and the need for robust data security measures present potential restraints to market growth.

B2B Data Exchange Market size was valued at USD 15 Billion in 2024 and is projected to reach USD 32.15 Billion by 2031, growing at a CAGR of 10% from 2024 to 2031.

The B2B Data Exchange Market is primarily driven by the increasing need for efficient and secure data sharing between businesses. The growing complexity of supply chains, the rise of digital transformation initiatives, and the increasing regulatory compliance requirements are fueling the demand for robust data exchange solutions. Additionally, the advancements in data integration and interoperability technologies are enabling seamless data flow between different systems and organizations. Furthermore, the increasing adoption of cloud-based solutions and API-driven architectures is further propelling the growth of the B2B Data Exchange Market.

The Report Covers Global Data Quality Tool Market Analysis & Growth and it is Segmented by Deployment Type (On-Premise, Cloud-based), Organization Size (Small and Medium Enterprises, Large Enterprises), Component (Software, Services), End-user Vertical (BFSI, Government, IT and Telecom, Retail and E-commerce, Healthcare), and Geography (North America, Europe, Asia-Pacific, Latin America and Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

The size and share of the market is categorized based on Application (Data analytics platforms, Data sharing platforms, Data marketplace solutions, Data licensing platforms, Data-driven advertising platforms) and Product (Revenue generation, Targeted advertising, Market insights, Data-driven decision-making, Business intelligence) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The Data Monetization market is experiencing robust growth, projected to reach a value of $3.45 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 27.17%. This expansion is fueled by several key drivers. The increasing volume of data generated across various sectors, coupled with advancements in data analytics and AI, empowers businesses to extract valuable insights and create new revenue streams from their data assets. Furthermore, the rising adoption of cloud computing and the development of robust data security measures are facilitating data sharing and monetization initiatives, thereby accelerating market growth. The market is segmented by solution (e.g., data analytics platforms, data marketplaces) and service (e.g., data consulting, data integration), each contributing to the overall market expansion. While regulatory hurdles and data privacy concerns pose some restraints, the overall market outlook remains extremely positive, driven by the transformative potential of data monetization across industries. The competitive landscape is characterized by a mix of established technology giants and specialized data solution providers. Companies like Accenture, IBM, and Salesforce are leveraging their existing strengths in consulting, cloud computing, and CRM to offer comprehensive data monetization solutions. Meanwhile, specialized firms are focusing on niche areas like data marketplaces and advanced analytics. Competition is primarily based on the breadth and depth of solutions offered, the ability to integrate with existing enterprise systems, and the strength of their data security and privacy frameworks. Regional variations in data regulations and digital infrastructure influence market penetration, with North America and Europe currently leading in adoption, followed by Asia Pacific, which is witnessing rapid growth. The forecast period (2025-2033) anticipates sustained high growth fueled by increasing digital transformation initiatives across various sectors and a broader understanding of the strategic value of data.

Data Enrichment Solutions Market 2025: Projected to hit USD 4.65B by 2029 at 12.5% CAGR. Access in-depth analysis on trends, market dynamics, and competitive landscape for data-driven decisions.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

According to Cognitive Market Research, the global Data Privacy Management Platform market size is USD 3158.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 39.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1263.44 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 947.58 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 726.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 41.5% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 157.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 179.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031.
VTEX Compliance Management is the largest segment of the global data privacy management platform market.

Market Dynamics of Data Privacy Management Platform Market

Key Drivers for Data Privacy Management Platform Market

Data Protection using AI

The rising use of technology in enterprises necessitates efficient data protection, which has resulted in an increased need for AI technology. The AI-infused technologies expedite the business process, providing improved data preservation and gathering while also improving data security. Furthermore, most firms collect data from a variety of touchpoints, including websites, mobile devices, and even Internet of Things (IoT) enabled devices. The collecting of data from numerous touchpoints creates a necessity for efficient data protection, which leads to the use of AI. With the increased usage of artificial intelligence, the organization's IT team protects data and ensures security.

Demand for cloud-based deployment will drive market expansion

This market is expected to grow steadily throughout the estimated period, owing to ongoing research and development activities to create critical advances. The cloud deployment option is ideal for firms who want to install analytics solutions at a minimal cost. It enables the organization to obtain data for all of its services at a reasonable cost. It means that the rapidly increasing demand for cloud-based deployment will drive market growth in the near future.

Restraint Factor for the Data Privacy Management Platform Market

High expense of these solutions

These high expenses limit the expansion of the Data Privacy Management Platform Market. The expenses of implementing and maintaining such a platform are high, and they may provide a considerable barrier to entry for enterprises willing to spend in data privacy management. Again, this is limited to the fact that these solutions are extremely complicated, necessitating specialized technology and knowledge, all of which raises their cost. As a result, certain companies may find it too expensive to implement these solutions, making it more difficult for them to make real data privacy improvements. Every firm must weigh the costs and benefits before deciding whether to invest in such a platform for effective data protection

Impact of Covid-19 on the Data Privacy Management Platform Market

The Covid-19 outbreak has acted as a key driver of growth in the data privacy management platform market. Sudden remote work, hefty dependence on digital technologies, dragged organizations down to take extra care in matters of data privacy and security. The pandemic accelerated the need for data privacy management platforms as companies sought to protect sensitive information associated with a work-from-home environment. Moreover, the pandemic situation created a very strong perception of cyber threats and actually emphasized robust data privacy solutions. Introduction of the Data Privacy Management Platform Market

The data privacy management platform market refers to the industry segment oriented toward rendering software solutions aimed at facilitating organizations in managing and protecting sensitive data in compliance with legislation related to data privacy. These platforms offer tools and f...

Data Wrangling Market size was valued at USD 1.63 Billion in 2024 and is projected to reach USD 3.2 Billion by 2031, growing at a CAGR of 8.80 % during the forecast period 2024-2031.

Global Data Wrangling Market Drivers

Growing Volume and Variety of Data: As digitalization has progressed, organizations have produced an exponential increase in both volume and variety of data. Data from a variety of sources, including social media, IoT devices, sensors, and workplace apps, is included in this, both structured and unstructured. Data wrangling tools are an essential part of contemporary data management methods because they allow firms to manage this heterogeneous data landscape effectively.

Growing Adoption of Advanced Analytics: To extract useful insights from data, companies in a variety of sectors are utilizing advanced analytics tools like artificial intelligence and machine learning. Nevertheless, access to clean, well-researched data is essential to the accomplishment of many analytics projects. The need for data wrangling solutions is fueled by the necessity of ensuring that data is accurate, consistent, and clean for usage in advanced analytics models.

Self-service data preparation solutions are becoming more and more necessary as data volumes rise. These technologies enable business users to prepare and analyze data on their own without requiring significant IT assistance. Platforms for data wrangling provide non-technical users with easy-to-use interfaces and functionalities that make it simple for them to clean, manipulate, and combine data. Data wrangling solutions are being used more quickly because of this self-service approach’s ability to increase agility and facilitate quicker decision-making within enterprises.

Emphasis on Data Governance and Compliance: With the rise of regulated sectors including healthcare, finance, and government, data governance and compliance have emerged as critical organizational concerns. Data wrangling technologies offer features for auditability, metadata management, and data quality control, which help with adhering to data governance regulations. The adoption of data wrangling solutions is fueled by these features, which assist enterprises in ensuring data integrity, privacy, and regulatory compliance.

Big Data Technologies’ Emergence: Companies can now store and handle enormous amounts of data more affordably because to the emergence of big data technologies like Hadoop, Spark, and NoSQL databases. However, efficient data preparation methods are needed to extract value from massive data. Organizations may accelerate their big data analytics initiatives by preprocessing and cleansing large amounts of data at scale with the help of data wrangling solutions that seamlessly interact with big data platforms.

Put an emphasis on cost-cutting and operational efficiency: Organizations are under pressure to maximize operational efficiency and cut expenses in the cutthroat business environment of today. Organizations can increase productivity and reduce resource requirements by implementing data wrangling solutions, which automate manual data preparation processes and streamline workflows. Furthermore, the danger of errors and expensive aftereffects is reduced when data quality problems are found and fixed early in the data pipeline.

The global synthetic data market size is projected to grow from USD 0.4 billion in the current year to USD 19.22 billion by 2035, representing a CAGR of 42.14%, during the forecast period till 2035

The report covers Global Data Processing and Hosting Services Companies and the market is segmented by the organization (large enterprise, small & medium enterprise) offering (data processing services (data entry services, data mining services, data cleansing, and formatting, and data scanning and indexing), hosting services (web hosting, cloud hosting, shared (reseller) hosting, virtual private server (VPS) hosting, WordPress hosting, and application hosting)), end-user industry (IT & Telecommunication, BFSI, retail, and other end-user industries), and geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa). The market sizes and forecasts are in terms of value (USD billion) for all the above segments.

Cloud Based Data Management Services Market size was valued at USD 39.2 Billion 2023 and is projected to reach USD 140.7 Billion by 2030, growing at a CAGR of 27.7% during the forecasted period 2024 to 2030.

Global Cloud Based Data Management Services Market Drivers

The growth and development of the Cloud Based Data Management Services Market drivers. These factors have a big impact on how Cloud Based Data Management Services are demanded and adopted in different sectors. Several of the major market forces are as follows:

Scalability and Flexibility: Cloud-based solutions for data management are scalable to accommodate increasing amounts of data. With little initial outlay, businesses can simply expand their processing and storage capacities to meet their evolving demands.

Economical Effectiveness: Cloud-based solutions lessen the requirement for businesses to finance and manage hardware equipment located on-site. Businesses can reduce costs by only paying for the resources they use with pay-as-you-go pricing structures.

Data Accessibility and Anywhere Access: One benefit of using cloud-based data management services is that you can access data from any location with an internet connection. This enables real-time decision-making, remote work, and collaboration.

Interoperability and Data Integration: Cloud-based platforms provide services and tools for easy integration with a range of apps, third-party services, and data sources. An organization’s connectivity and data flow are improved by this interoperability.

The size and share of the market is categorized based on Type (Data Warehouse Platform, Data Warehouse Tool, Service, Others) and Application (Bank, Insurance, Securities, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Data Mesh Market size was valued at USD 4.1 Billion in 2024 and is projected to reach USD 12.5 Billion by 2032, growing at a CAGR of 8.5% from 2025 to 2032.

Global Data Mesh Market Drivers

1. Growing Use of Data Architecture Decentralisation
To improve agility and scalability, organisations are moving away from centralised data lakes and towards data mesh architectures.
Data management constraints are lessened by domain-driven ownership made possible by data mesh.
2. Increasing Need for Processing Data in Real Time
Real-time analytics are necessary for businesses to make better decisions.
Distributed data ownership is supported by data mesh, enabling quicker insights and increased operational effectiveness.
3. A rise in the volume and complexity of data
Businesses produce enormous volumes of data via cloud apps, IoT, and AI.
Scalability is a problem for traditional data architectures, which is why data mesh is a desirable substitute.

The data analytic market size is projected to grow from USD 69.40 billion in the current year to USD 877.12 billion by 2035, representing a CAGR of 25.93%, during the forecast period till 2035.

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Big Data as a Service Market Size 2024-2028

The big data as a service market size is forecast to increase by USD 41.20 billion at a CAGR of 28.45% between 2023 and 2028.

The market is experiencing significant growth due to the increasing volume of data and the rising demand for advanced data insights. Machine learning algorithms and artificial intelligence are driving product quality and innovation in this sector. Hybrid cloud solutions are gaining popularity, offering the benefits of both private and public cloud platforms for optimal data storage and scalability. Industry standards for data privacy and security are increasingly important, as large amounts of data pose unique risks. The BDaaS market is expected to continue its expansion, providing valuable data insights to businesses across various industries.

What will be the Big Data as a Service Market Size During the Forecast Period?

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Big Data as a Service (BDaaS) has emerged as a game-changer in the business world, enabling organizations to harness the power of big data without the need for extensive infrastructure and expertise. This service model offers various components such as data management, analytics, and visualization tools, enabling businesses to derive valuable insights from their data. BDaaS encompasses several key components that drive market growth. These include Business Intelligence (BI), Data Science, Data Quality, and Data Security. BI provides organizations with the ability to analyze data and gain insights to make informed decisions.



Data Science, on the other hand, focuses on extracting meaningful patterns and trends from large datasets using advanced algorithms. Data Quality is a critical component of BDaaS, ensuring that the data being analyzed is accurate, complete, and consistent. Data Security is another essential aspect, safeguarding sensitive data from cybersecurity threats and data breaches. Moreover, BDaaS offers various data pipelines, enabling seamless data integration and data lifecycle management. Network Analysis, Real-time Analytics, and Predictive Analytics are other essential components, providing businesses with actionable insights in real-time and enabling them to anticipate future trends. Data Mining, Machine Learning Algorithms, and Data Visualization Tools are other essential components of BDaaS.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Data analytics-as-a-Service
  Hadoop-as-a-service
  Data-as-a-service


Deployment

  Public cloud
  Hybrid cloud
  Private cloud


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The data analytics-as-a-service segment is estimated to witness significant growth during the forecast period.

Big Data as a Service (BDaaS) is a significant market segment, highlighted by the availability of Hadoop-as-a-Service solutions. These offerings enable businesses to access essential datasets on-demand without the burden of expensive infrastructure. DAaaS solutions facilitate real-time data analysis, empowering organizations to make informed decisions. The DAaaS landscape is expanding rapidly as companies acknowledge its value in enhancing internal data. Integrating DAaaS with big data systems amplifies analytics capabilities, creating a vibrant market landscape. Organizations can leverage diverse datasets to gain a competitive edge, driving the growth of the global BDaaS market. In the context of digital transformation, cloud computing, IoT, and 5G technologies, BDaaS solutions offer optimal resource utilization.

However, regulatory scrutiny poses challenges, necessitating stringent data security measures. Retail and other industries stand to benefit significantly from BDaaS, particularly with distributed computing solutions. DAaaS adoption is a strategic investment for businesses seeking to capitalize on the power of external data for valuable insights.

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The Data analytics-as-a-Service segment was valued at USD 2.59 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 35% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Big Data as a Service Market analysis, North America is experiencing signif

Explore the Data Erasure Solutions Market trends! Covers key players, growth rate 15.1% CAGR, market size $2.6 Billion, and forecasts to 2033. Get insights now!

The market size of the Data Intelligence Solutions For Market is categorized based on Type (Sales Activity Management, Custom Fields and Custom Workflows, Lead Tracking, Goal Setting, Others) and Application (Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.

Snapshot img

Big Data Market Size 2024-2028

The big data market size is forecast to increase by USD 508.73 billion at a CAGR of 21.46% between 2023 and 2028.

The market is experiencing significant growth due to the growth in data generation from various sources, including IoT platforms and digital transformation services. This data deluge presents opportunities for businesses to leverage advanced analytics tools for applications such as fraud detection and prevention, workforce analytics, and business intelligence. However, the increasing adoption of big data implementation also brings challenges, including the need for data security and privacy measures. Quantum computing and blockchain technology are emerging trends In the big data landscape, offering potential solutions to complex data processing and security issues. In healthcare analytics, data protection regulations are driving the need for secure data management and sharing.
Additionally, supply chain optimization is another area where big data can bring significant value, enabling real-time monitoring and predictive analytics. Overall, the market is poised for continued growth, driven by the need to extract valuable insights from the vast amounts of data being generated.

What will be the Size of the Big Data Market During the Forecast Period?

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The market is experiencing growth as businesses increasingly leverage information from vast datasets to drive strategic decision-making, enhance customer experiences, and improve operational efficiency. The digital revolution has led to an exponential increase in data creation, fueling demand for advanced analytics capabilities, real-time processing, and data protection and privacy solutions. Hardware and software companies offer on-premise and cloud-based systems to accommodate various industry needs, including customer analytics in retail and e-commerce, supply chain analytics in manufacturing, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics, healthcare, energy and utilities, and IT and telecom. Big data applications span numerous sectors, enabling organizations to gain valuable insights from their data to optimize operations, mitigate risks, and innovate new products and services.

How is this Big Data Industry segmented and which is the largest segment?

The big data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud-based
  Hybrid


Type

  Services
  Software


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. On-premises big data software solutions involve the installation of hardware and software by the end-user, granting them complete control over the system. Despite the high upfront costs, on-premises solutions offer advantages such as full ownership and operational efficiency. In contrast, cloud-based solutions require recurring monthly payments and involve data storage on companies' servers, increasing security concerns. Advanced analytics, real-time processing, and integrated analytics are key features driving the market. Data creation from digital transformation, customer experiences, and various industries like retail, healthcare, and finance, fuel the demand for scalable infrastructure and user-friendly interfaces. Technologies such as quantum computing, blockchain, AI-driven analytics platforms, and automation are transforming business intelligence solutions.

Ensuring data protection and privacy, accessibility, and seamless data transactions are crucial in this data-driven era. Key technologies include distributed computing, visualization tools, and social media. Target audiences range from decision-makers to various industries, including transportation, energy, and consumer engagement.

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The On-premises segment was valued at USD 86.53 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 47% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is experiencing significant growth due to digital transformation initiatives by enterprises in sectors such as healthcare, retail