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Data Broker Market - Global Forecast 2025-2032

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    Report

  • 197 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6083237
UP TO OFF until Jan 01st 2026
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The data broker market is rapidly evolving, presenting opportunities for strategic differentiation as firms seek robust solutions to harness and monetize information assets. Current industry shifts underscore the necessity for forward-thinking leaders to align data-driven strategies with regulatory and technological change.

Market Snapshot: Data Broker Market Growth and Trajectory

The data broker market is exhibiting strong momentum, expanding steadily from USD 230.21 million in 2024 to USD 247.83 million in 2025, with a CAGR projected at 7.71%. This continued growth indicates rising demand for data-enabled intelligence, reinforcing the market’s appeal to organizations prioritizing advanced analytics, regulatory compliance, and operational efficiency.

Scope & Segmentation

  • Data Type: Business data (firmographic, intent, technographic), consumer data (behavioral, demographic, psychographic, transactional), financial data (banking, credit), healthcare data (clinical, genetic, patient), location data (cellular, GPS).
  • Delivery Method: API (REST, SOAP), download (CSV, JSON), streaming (near real time, real time).
  • End User Industry: BFSI, healthcare, retail, telecom.
  • Deployment Mode: Cloud, on-premise.
  • Application: Fraud detection, marketing, product development, risk management.
  • Geographic Coverage: Americas (North America, Latin America), Europe, Middle East & Africa (United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya), Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan).
  • Leading Market Players: Oracle Corporation, Acxiom LLC, Nielsen Holdings plc, Experian plc, TransUnion LLC, Equifax Inc., Epsilon Data Management LLC, CoreLogic Inc., Dun & Bradstreet Corporation, LexisNexis Risk Solutions Inc.

Key Takeaways for Senior Decision-Makers

  • The increasing integration of artificial intelligence, machine learning, and natural language processing is redefining how data is gathered, enriched, and modeled for predictive outcomes in strategic business processes.
  • Privacy frameworks and heightened data protection requirements are reshaping organizational approaches, with an emphasis on transparency, ethical data stewardship, and advanced governance solutions.
  • Adoption of cloud-native and open data architectures is supporting greater interoperability and scalability, enabling faster delivery and integration into varied enterprise environments.
  • Regional differences in digital maturity and regulatory complexity demand tailored go-to-market approaches, underscoring the importance of local compliance, multilingual analytics, and context-aware services.
  • Strategic partnerships—with cloud vendors, fintech start-ups, and system integrators—are becoming central to expanding offerings, accelerating product innovation, and strengthening global distribution networks.

Tariff Impact: Navigating Regulatory and Tariff-Driven Change

New United States tariffs on data services poised for implementation in 2025 present both challenges and prompts for strategic shift. Companies must adapt sourcing strategies to manage increased operational costs related to hardware and cross-border data transfers. This regulatory landscape encourages investment in local data centers, edge computing, and alliances with domestic technology partners. Containment of expense escalation, tighter data sovereignty, and realignment of international service contracts will distinguish market leaders.

Methodology & Data Sources

This report blends primary and secondary research to ensure robust findings and strategic relevance. Desk research encompassed regulatory filings, technical whitepapers, annual reports, and industry publications. In-depth interviews with executives, domain experts, and end users provided real-world perspectives. Quantitative data were validated through triangulation and advanced statistical techniques.

Why This Report Matters: Strategic Benefits for Executives

  • Empowers senior executives with actionable, reliable insights for decision-making in a complex, privacy-focused, and technology-driven marketplace.
  • Maps critical opportunities and threats in global data brokerage, enabling the anticipation of segmentation trends and the design of responsive business models.
  • Provides clarity on the impact of regulatory shifts, especially tariffs and data sovereignty measures, on operations, partnerships, and profitability.

Conclusion

The data broker market’s trajectory is a function of evolving technologies, regulatory demands, and region-specific dynamics. Leaders who prioritize flexible strategies, transparent practices, and ongoing innovation will be best positioned to capture sustainable growth and create differentiated value.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Surge in global data privacy regulations reshaping third-party data brokerage operations
5.2. Growing utilization of AI-driven predictive analytics by data brokers for hyperpersonalized marketing strategies
5.3. Emergence of decentralized data marketplaces leveraging blockchain for secure and transparent transactions
5.4. Adoption of first-party data collaboration frameworks to ensure consent-driven data monetization among partners
5.5. Integration of real-time streaming data platforms into broker offerings for instantaneous customer behavior insights
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Data Broker Market, by Data Type
8.1. Business Data
8.1.1. Firmographic
8.1.2. Intent
8.1.3. Technographic
8.2. Consumer Data
8.2.1. Behavioral
8.2.2. Demographic
8.2.3. Psychographic
8.2.4. Transactional
8.3. Financial Data
8.3.1. Banking Data
8.3.2. Credit Data
8.4. Healthcare Data
8.4.1. Clinical Data
8.4.2. Genetic Data
8.4.3. Patient Data
8.5. Location Data
8.5.1. Cellular Data
8.5.2. Gps Data
9. Data Broker Market, by Delivery Method
9.1. Api
9.1.1. Rest Api
9.1.2. Soap Api
9.2. Download
9.2.1. Csv
9.2.2. Json
9.3. Streaming
9.3.1. Near Real Time
9.3.2. Real Time
10. Data Broker Market, by End User Industry
10.1. Bfsi
10.2. Healthcare
10.3. Retail
10.4. Telecom
11. Data Broker Market, by Deployment Mode
11.1. Cloud
11.2. On Premise
12. Data Broker Market, by Application
12.1. Fraud Detection
12.2. Marketing
12.3. Product Development
12.4. Risk Management
13. Data Broker Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Data Broker Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Data Broker Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Oracle Corporation
16.3.2. Acxiom LLC
16.3.3. Nielsen Holdings plc
16.3.4. Experian plc
16.3.5. TransUnion LLC
16.3.6. Equifax Inc.
16.3.7. Epsilon Data Management, LLC
16.3.8. CoreLogic, Inc.
16.3.9. Dun & Bradstreet Corporation
16.3.10. LexisNexis Risk Solutions Inc.

Samples

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Companies Mentioned

The key companies profiled in this Data Broker market report include:
  • Oracle Corporation
  • Acxiom LLC
  • Nielsen Holdings plc
  • Experian plc
  • TransUnion LLC
  • Equifax Inc.
  • Epsilon Data Management, LLC
  • CoreLogic, Inc.
  • Dun & Bradstreet Corporation
  • LexisNexis Risk Solutions Inc.

Table Information