Data Monetization Market Size & Forecast Report - 2025 to 2030

The global data monetization market size was accounted to generate significant revenue of over USD 2.5 billion in 2021 and is expected to grow at a significant CAGR of around 20% during the forecast period from 2022 to 2028. The increasing investment in big data and the growing inclination toward business analytics solutions to improve performance are some major factors driving the market growth. Furthermore, the increasing demand for digital transformation and the growing investment in analytics sectors is further anticipated to fuel the market over the forecast period. Moreover, the growing volume and variety of enterprise data in the last few years due to the growing digitalization and technological advancement is projected to uplift the market growth over the forecast period.

Market Drivers:

Increasing data generation and availability: With the proliferation of digital technologies, the volume of data generated is growing exponentially. This includes structured and unstructured data from various sources such as social media, IoT devices, sensors, customer interactions, and transactional data. The availability of large amounts of data creates opportunities for organizations to monetize it by extracting valuable insights and leveraging it for decision-making, product development, and creating new revenue streams.

Growing demand for data-driven insights: Organizations across industries recognize the value of data-driven insights in gaining a competitive edge, improving operational efficiency, and enhancing customer experiences. Data monetization allows businesses to unlock the hidden value within their data by analyzing it to identify patterns, trends, and correlations that can drive strategic decision-making. The increasing demand for data-driven insights drives the need for effective data monetization strategies.

Emergence of advanced analytics and AI technologies: The advancement of analytics and artificial intelligence (AI) technologies has enabled organizations to extract valuable insights from data at a faster and more accurate rate. Machine learning algorithms, predictive analytics, and data visualization tools help in analyzing data and uncovering actionable insights. These technologies play a crucial role in data monetization by enabling organizations to identify new revenue opportunities, optimize operations, and enhance customer experiences.

Rise of data marketplaces and platforms: Data marketplaces and platforms facilitate the exchange of data between data providers and data consumers. These platforms provide a framework for organizations to monetize their data by making it accessible to other businesses for a fee or by participating in data partnerships and collaborations. The emergence of data marketplaces and platforms simplifies the process of data monetization, enabling organizations to reach a wider audience and monetize their data assets more efficiently.

Increasing focus on personalized marketing and customer experiences: Personalized marketing and customer experiences have become key differentiators in today’s competitive landscape. Data monetization allows organizations to leverage customer data to gain insights into their preferences, behaviors, and purchasing patterns. By utilizing these insights, businesses can deliver personalized marketing campaigns, targeted advertisements, and customized products or services, thereby enhancing customer satisfaction and driving revenue growth.

Regulatory and compliance requirements: The implementation of data protection and privacy regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), has compelled organizations to adopt more stringent measures for data handling and consent management. Data monetization strategies must comply with these regulations, ensuring proper consent, data anonymization, and transparency in data usage. Compliance requirements drive organizations to develop robust data governance frameworks and establish trust with data consumers, contributing to the growth of the data monetization market.

Industry-specific applications: Data monetization has industry-specific applications across sectors such as healthcare, finance, retail, telecommunications, and manufacturing. For example, in healthcare, the monetization of health data can drive research, drug development, and personalized medicine. In finance, data monetization can support risk management, fraud detection, and customer profiling. The unique requirements and opportunities in different industries drive the adoption of data monetization solutions tailored to specific sectors.

Competitive advantage and revenue generation: Data monetization offers organizations a competitive advantage by providing additional revenue streams beyond their core products or services. By monetizing their data assets, organizations can diversify their revenue sources, explore new business models, and capture value from their data investments. The potential for increased profitability and sustainable growth motivates organizations to invest in data monetization strategies.

Market Snapshot:

Market Insights:

By organization size, the large enterprises segment dominated the global market in 2021

The global data monetization market is bifurcated into components, data type, business function, deployment mode, organization size, industry verticals, and geography. On the basis of organization size, the market is further segmented into small & medium-sized enterprises (SME) and large enterprises. The large enterprise segment dominated the global market in 2021 and is expected to hold a significant revenue share of over 2/3 market share by the end of the analysis period. On the flip side, the SMEs segment is accounted to register the fastest growth rate over the forecast period due to the growing adoption of the solution by the small and medium size organization.

By industry verticals, the BFSI segment is expected to hold the largest revenue share by the end of the analysis period

On the basis of industry verticals, the market is bifurcated into BFSI, E-commerce & retail, telecommunications & it, manufacturing, healthcare, energy & utilities, and others. The BFSI segment dominated the global data monetization market in 2021 and is expected to hold a significant revenue share of over 20% share of the market by the end of the analysis period. The increasing adoption of digital transactions and the growing adoption of cashless payment solutions are responsible to generate a huge amount of data, which is a major factor to drive the segment growth. Moreover, the growing investment by BFSI companies in data monetization is further anticipated to boost the segment growth over the forecast period.

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The data monetization comprehensive study analyzes industry trends, market size, competitive analysis, and market forecast – 2022 to 2028. Research Corridor report provides detailed premium insight into the global market and reveals the potential revenue streams, commercial prospects, market drivers, challenges, opportunities, issues, and events affecting the industry. In addition, the report has a dedicated section covering market forecasts and analysis for leading geographies, profiles of major companies operating in the market and expert opinion obtained from interviews with industry executives and experts from prominent companies.

The data monetization market research report presents the analysis of each segment from 2019 to 2028 considering 2020 as the base year for the research. The compounded annual growth rate (CAGR) for each respective segment is calculated for the forecast period from 2021 to 2027.

Historical & Forecast Period

• 2019-20 – Historical Year
• 2021 – Base Year
• 2022-2028 – Forecast Period

Market Segmentation:

By Component:

• Tools
• Services

By Data Type:

• Customer Data
• Product Data
• Financial Data
• Supplier Data

By Business Function:

• Sales and Marketing
• Supply Chain Marketing
• Operations
• Finance
• Others

By Deployment Mode:

• On-Premises
• Cloud

By Organization Size:

• Small & Medium-Sized Enterprises
• Large Enterprises

By Industry Verticals:

• BFSI
• E-commerce & Retail
• Telecommunications & IT
• Manufacturing
• Healthcare
• Energy & Utilities
• Others

By Region:

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

Regional Analysis:

Geographically, the data monetization market report comprises dedicated sections centering on the regional market revenue and trends. The data monetization market has been segmented on the basis of geographic regions into North America, Europe, Asia Pacific, and Rest of the World (RoW). The RoW segment consists of Latin America and the Middle East & Africa. The data monetization market has been extensively analyzed on the basis of various regional factors such as demographics, gross domestic product (GDP), inflation rate, acceptance, and others. Data monetization market estimates have also been provided for the historical years 2018 & 2019 along with forecasts for the period from 2022 – 2028.

Competitive Assessment:

Some of the major market players operating in the global data monetization market are Accenture Plc., Adstra, Cisco Systems, Inc., Gemalto NV, and IBM Corporation. Companies are exploring markets through expansion, new investment, the introduction of new services, and collaboration as their preferred strategies. Players are exploring new geography through expansion and acquisition to gain a competitive advantage through joint synergy.

Key Companies:

• Accenture Plc.
• Adstra
• Cisco Systems, Inc.
• Gemalto NV
• IBM Corporation
• Infosys Limited
• Comviva
• Monetize
• Reltio
• SAP SE

Key Questions Answered by Data Monetization Market Report

• Global data monetization market forecasts from 2022-2028
• Regional market forecasts from 2022-2028 covering Asia-Pacific, North America, Europe, Middle East & Africa, and Latin America
• Country-level forecasts from 2022-2028 covering 15 major countries from the regions as mentioned above
• Data monetization submarket forecasts from 2022-2028 covering the market by component, by data type, by business function, by deployment mode, by organization size, by industry verticals, and geography
• Various industry models such as SWOT analysis, Value Chain Analysis about the market
• Analysis of the key factors driving and restraining the growth of the global, regional, and country-level data monetization markets from 2022-2028
• Competitive Landscape and market positioning of top 10 players operating in the market