Data Broker Global Market Report 2026

A data broker is a company or entity that collects, processes, analyzes, and sells consumer or business data to third parties. These brokers gather information from various sources, such as public records, online activity, social media, purchase history, and other digital interactions. The collected data is used for purposes such as marketing, risk assessment, fraud detection, customer profiling, and business intelligence.

The main types of data collected by data brokers include unstructured data, structured data, and custom-structured data. Unstructured data refers to information that lacks a predefined format or structure, making it more difficult to analyze and process. Data brokers collect unstructured data from a range of sources to gain insights into consumer behavior and preferences. Various pricing models, such as subscription-based, pay-per-use, and hybrid models, are employed in applications such as marketing and advertising, fraud detection and prevention, risk management, customer experience management, compliance management, and personalization and targeting. These models are utilized by a wide range of industries, including banking, financial services, and insurance (BFSI), retail, automotive, construction, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are affecting the data broker market by increasing costs related to cross-border data infrastructure services, cloud storage solutions, advanced analytics software, and cybersecurity tools. BFSI and retail sectors in North America and Europe are most impacted due to dependence on international data processing services, while Asia-Pacific faces higher operational costs for data aggregation platforms. These tariffs are increasing service pricing and limiting smaller broker participation. However, they are also encouraging domestic data infrastructure investment, localized data processing, and development of region-specific data products.

The data broker market research report is one of a series of new reports from The Business Research Company that provides data broker market statistics, including data broker industry global market size, regional shares, competitors with a data broker market share, detailed data broker market segments, market trends and opportunities, and any further data you may need to thrive in the data broker industry. This data broker market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The data broker market size has grown strongly in recent years. It will grow from $331.48 billion in 2025 to $363.4 billion in 2026 at a compound annual growth rate (CAGR) of 9.6%. The growth in the historic period can be attributed to growth of digital marketing ecosystems, expansion of online consumer activity, rising demand for targeted advertising, increasing availability of public and transactional data, adoption of big data analytics tools.

The data broker market size is expected to see strong growth in the next few years. It will grow to $519.55 billion in 2030 at a compound annual growth rate (CAGR) of 9.3%. The growth in the forecast period can be attributed to growing regulatory scrutiny on data usage, rising demand for compliant data sourcing, expansion of ai-powered customer profiling, increasing use of alternative data sources, growth of data-driven decision-making. Major trends in the forecast period include increasing use of ai-driven data enrichment models, rising demand for real-time consumer data insights, expansion of predictive and behavioral analytics services, growing focus on data privacy and compliance solutions, adoption of hybrid data monetization models.

The growth of the data broker market is expected to be driven by the rise of e-commerce. E-commerce, which involves the online buying and selling of goods and services, as well as the electronic transfer of funds or data, is experiencing growth due to factors such as increased internet penetration, smartphone adoption, consumer preferences for convenience, advancements in digital payment systems, and improvements in delivery networks. Data brokers play a crucial role in helping e-commerce businesses improve customer targeting, personalization, and fraud prevention by offering valuable consumer data insights. For example, e-commerce sales in 2024 reached $1,192.6 billion, marking an 8.1% increase from 2023, according to the US Census Bureau. As a result, the expansion of e-commerce is contributing to the growth of the data broker market.

Leading companies in the data broker market are introducing innovative services such as data onboarding, to improve data integration, accessibility, security, and compliance with evolving regulations. This process involves merging third-party or offline data with a company's first-party data to enhance customer targeting and enable more personalized marketing strategies. A notable example is Experian Plc, an information services company based in Ireland, which launched the first third-party data marketplace in January 2025. A key feature of this marketplace is its ability to integrate third-party and first-party data seamlessly, utilizing Experian's identity graph. This allows marketers to access more accurate and detailed audience segments, thus improving targeting and campaign personalization.

In March 2023, Acxiom LLC, a data analytics company based in the US, formed a partnership with Amazon Advertising (Amazon Ads) to enhance privacy-conscious, data-driven insights for advertisers. This collaboration aims to assist advertisers in delivering more relevant and personalized marketing campaigns across Amazon's platforms and other channels.

Major companies operating in the data broker market are International Business Machines Corporation (IBM), Oracle Corporation, Bloomberg Finance L.P., LexisNexis Risk Solutions, Thomson Reuters, Experian Information Solutions Inc., Wolters Kluwer N.V., Equifax Inc, TransUnion LLC, NielsenIQ, Dun & Bradstreet Inc., Fair Isaac and Company, CoreLogic, Acxiom LLC, Data Axle, Epsilon Data Management LLC, Lotame Solutions Inc., Intelius LLC., Whitepages Inc., Ignite Enterprise Software Solutions LLC.

North America was the largest region in the data broker market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data broker market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the data broker market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The data broker market includes revenues earned by entities by providing services such as audience segmentation and targeting, lead generation and sales enablement, and business intelligence and analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Data Broker Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses data broker market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for data broker ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The data broker market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Data Type: Unstructured Data; Structured Data; Custom Structure Data
• 2) By Pricing Model: Subscription Paid; Pay Per Use Paid; Hybrid Paid Models
• 3) By Application: Marketing And Advertising; Fraud Detection And Prevention; Risk Management; Customer Experience Management; Compliance Management; Personalization And Targeting
• 4) By End-User: Banking; Financial Service And Insurance (BFSI); Retail; Automotive; Construction; Other End-Users
• Subsegments:
• 1) By Unstructured Data: Social Media Data; Web Content Data; Email Data; IoT Sensor Data; Multimedia Data; Surveillance And Security Data
• 2) By Structured Data: Demographic Data; Financial Data; Healthcare Data; Transactional Data; Behavioral Data; Location Data.
• 3) By Custom Structure Data: Industry-Specific Data; Proprietary Data Sets; Predictive Analytics Data; Hybrid Data Models; Aggregated And Derived Data
• Companies Mentioned: International Business Machines Corporation; Oracle Corporation; Bloomberg L.P.; Thomson Reuters Corporation; RELX PLC; Wolters Kluwer N.V.; Experian PLC; Equifax Inc.; TransUnion LLC; Nielsen Holdings PLC; Dun & Bradstreet Holdings Inc.; Fair Isaac Corporation; Verisk Analytics Inc.; S&P Global Inc.; Morningstar Inc.; ZoomInfo Technologies Inc.; LiveRamp Holdings Inc.; Snowflake Inc.; SAP SE; Acxiom Holdings LLC
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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