데이터 브로커 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 데이터 유형별, 가격 모델별, 최종 사용 부문별, 지역별 및 경쟁(2021-2031년)

The Global Data Broker Market is projected to expand from a valuation of USD 260.39 Billion in 2025 to USD 360.67 Billion by 2031, registering a CAGR of 5.58%. This sector comprises organizations dedicated to gathering, refining, and licensing consumer and commercial data from various public and private sources for third-party use. Growth in this market is primarily propelled by the rising need for precision marketing, the demand for sophisticated fraud detection and risk mitigation within financial services, and the increasing necessity for identity verification. This upward trajectory is further underpinned by sustained corporate media investment; for example, the World Federation of Advertisers noted in 2024 that 60 percent of major global advertisers intended to boost their media budgets, a move that directly fuels the demand for granular data to maximize the efficiency of these expenditures.

Conversely, the market encounters substantial obstacles due to tightening data privacy regulations and heightened global regulatory oversight. The enforcement of rigorous laws, such as the GDPR and local data protection statutes, alongside the technological phase-out of third-party tracking cookies, is disrupting conventional data collection channels. This evolving regulatory environment compels data brokers to absorb increased compliance expenses and overhaul their data acquisition strategies, posing a considerable barrier to the seamless scalability of their established business frameworks.

Market Driver

The escalation of personalized marketing and targeted advertising initiatives acts as a pivotal driver for the Global Data Broker Market. As advertisers shift focus from mass messaging to precise targeting, there is an intensified reliance on detailed third-party datasets to enhance proprietary customer profiles. This shift is evidenced by the significant capital entering digital advertising ecosystems; the Interactive Advertising Bureau (IAB) reported in its April 2025 'Internet Advertising Revenue Report' that internet advertising revenues in the United States hit $258.6 billion in 2024, representing a 14.9 percent year-over-year rise. Accordingly, data brokers are expanding their identity resolution and audience segmentation capacities to address this growing demand for addressable media.

Simultaneously, the growing need for fraud detection and risk management solutions is fundamentally influencing market growth. As digital transaction ecosystems widen, businesses encounter compounded financial risks that require advanced identity verification services furnished by data aggregators. According to the 'True Cost of Fraud Study' released by LexisNexis Risk Solutions in 2025, merchants in the North American market now face an average cost of $4.60 for every dollar lost to fraud, highlighting the essential nature of predictive risk data. This increased operational dependence on external data sources is driving tangible sector expansion; for instance, LiveRamp reported in May 2025 that its total revenue grew by 13 percent to $746 million for fiscal year 2025, illustrating the broader industry momentum fueled by data collaboration and identity connectivity requirements.

Market Challenge

Stringent data privacy frameworks and escalating global regulatory scrutiny represent a major hurdle to the Global Data Broker Market's expansion. These exacting legal standards disrupt the conventional model of aggregating and licensing third-party data by mandating strict consent protocols and curtailing the availability of high-quality tracking signals. As regulations such as the GDPR and various local acts limit the circulation of accessible consumer information, data brokers encounter a diminishing supply of compliant data sources. This shortage compels firms to allocate substantial resources toward compliance infrastructure instead of innovation, thereby retarding their capacity to effectively acquire and monetize new data assets.

This regulatory pressure directly hinders scalability by requiring profound operational adjustments that exceed mere financial implications. The burden of compliance necessitates a foundational transformation in how organizations gather and process data, frequently interrupting established workflows and stalling market expansion initiatives. According to the Interactive Advertising Bureau, in 2024, 82 percent of advertising and data decision-makers indicated that their organizational structure and composition had been directly affected by privacy legislation and the depletion of user-tracking signals. This structural disruption constrains the industry's agility, restricting the seamless scalability that data brokers depend on to sustain revenue growth.

Market Trends

The adoption of Generative AI for Automated Data Enrichment is radically transforming the way data brokers process and monetize information. With traditional tracking signals diminishing, brokers are increasingly utilizing large language models to synthetically bridge data gaps and enhance sparse consumer profiles while adhering to privacy laws. This technological evolution is establishing a fresh revenue channel focused on the high-quality, unstructured data inputs needed to train these sophisticated models, effectively positioning data brokers as vital infrastructure within the AI economy. According to Amazon.com, Inc.'s '2024 Annual Report' from February 2025, AWS revenue increased 19 percent year-over-year to $108 billion, a rise attributed significantly to the rapid corporate adoption of generative AI services that depend heavily on such enriched external data streams for training and inference.

Concurrently, the shift from Direct Sales to Cloud-Based Data Marketplaces is reorganizing the industry's distribution framework. Brokers are moving away from static file deliveries to list live datasets on platforms such as Snowflake and AWS Data Exchange, enabling clients to query data in real-time without the need for physical transfer. This approach lessens operational friction and meets the agility demands of modern enterprises by facilitating seamless data sharing across organizational borders. As noted in Snowflake Inc.'s 'Annual Form 10-K Report' from March 2025, the company recorded a 29 percent rise in annual revenue to $3.6 billion, fueled by the growing usage of its cloud data platform where organizations increasingly transact and exchange third-party data assets.

Key Market Players

• Experian plc
• Equifax Inc.
• TransUnion LLC
• CoreLogic, Inc.
• DUN & BRADSTREET
• Acxiom LLC
• EPSILON DATA MANAGEMENT, LLC
• Equifax Workforce Solutions, Inc.
• LexisNexis Risk Data Management Inc.
• Thomson Reuters Corporation

Report Scope

In this report, the Global Data Broker Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Broker Market, By Data Type

• Unstructured Data
• Structured Data
• Custom Structure Data

Data Broker Market, By Pricing Model

• Subscription Paid
• Pay Per Use Paid
• Hybrid Paid Models

Data Broker Market, By End Use Sector

• BFSI
• Retail And FMCG
• Manufacturing
• Media
• Government Sector
• Others Sector

Data Broker Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Broker Market.

Available Customizations:

Global Data Broker Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Data Broker Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Data Type (Unstructured Data, Structured Data, Custom Structure Data)
  • 5.2.2. By Pricing Model (Subscription Paid, Pay Per Use Paid, Hybrid Paid Models)
  • 5.2.3. By End Use Sector (BFSI, Retail And FMCG, Manufacturing, Media, Government Sector, Others Sector)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Data Broker Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Data Type
  • 6.2.2. By Pricing Model
  • 6.2.3. By End Use Sector
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Data Broker Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Data Type
      • 6.3.1.2.2. By Pricing Model
      • 6.3.1.2.3. By End Use Sector
  • 6.3.2. Canada Data Broker Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Data Type
      • 6.3.2.2.2. By Pricing Model
      • 6.3.2.2.3. By End Use Sector
  • 6.3.3. Mexico Data Broker Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Data Type
      • 6.3.3.2.2. By Pricing Model
      • 6.3.3.2.3. By End Use Sector

7. Europe Data Broker Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Data Type
  • 7.2.2. By Pricing Model
  • 7.2.3. By End Use Sector
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Data Broker Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Data Type
      • 7.3.1.2.2. By Pricing Model
      • 7.3.1.2.3. By End Use Sector
  • 7.3.2. France Data Broker Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Data Type
      • 7.3.2.2.2. By Pricing Model
      • 7.3.2.2.3. By End Use Sector
  • 7.3.3. United Kingdom Data Broker Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Data Type
      • 7.3.3.2.2. By Pricing Model
      • 7.3.3.2.3. By End Use Sector
  • 7.3.4. Italy Data Broker Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Data Type
      • 7.3.4.2.2. By Pricing Model
      • 7.3.4.2.3. By End Use Sector
  • 7.3.5. Spain Data Broker Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Data Type
      • 7.3.5.2.2. By Pricing Model
      • 7.3.5.2.3. By End Use Sector

8. Asia Pacific Data Broker Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Data Type
  • 8.2.2. By Pricing Model
  • 8.2.3. By End Use Sector
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Data Broker Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Data Type
      • 8.3.1.2.2. By Pricing Model
      • 8.3.1.2.3. By End Use Sector
  • 8.3.2. India Data Broker Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Data Type
      • 8.3.2.2.2. By Pricing Model
      • 8.3.2.2.3. By End Use Sector
  • 8.3.3. Japan Data Broker Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Data Type
      • 8.3.3.2.2. By Pricing Model
      • 8.3.3.2.3. By End Use Sector
  • 8.3.4. South Korea Data Broker Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Data Type
      • 8.3.4.2.2. By Pricing Model
      • 8.3.4.2.3. By End Use Sector
  • 8.3.5. Australia Data Broker Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Data Type
      • 8.3.5.2.2. By Pricing Model
      • 8.3.5.2.3. By End Use Sector

9. Middle East & Africa Data Broker Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Data Type
  • 9.2.2. By Pricing Model
  • 9.2.3. By End Use Sector
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Data Broker Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Data Type
      • 9.3.1.2.2. By Pricing Model
      • 9.3.1.2.3. By End Use Sector
  • 9.3.2. UAE Data Broker Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Data Type
      • 9.3.2.2.2. By Pricing Model
      • 9.3.2.2.3. By End Use Sector
  • 9.3.3. South Africa Data Broker Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Data Type
      • 9.3.3.2.2. By Pricing Model
      • 9.3.3.2.3. By End Use Sector

10. South America Data Broker Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Data Type
  • 10.2.2. By Pricing Model
  • 10.2.3. By End Use Sector
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Data Broker Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Data Type
      • 10.3.1.2.2. By Pricing Model
      • 10.3.1.2.3. By End Use Sector
  • 10.3.2. Colombia Data Broker Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Data Type
      • 10.3.2.2.2. By Pricing Model
      • 10.3.2.2.3. By End Use Sector
  • 10.3.3. Argentina Data Broker Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Data Type
      • 10.3.3.2.2. By Pricing Model
      • 10.3.3.2.3. By End Use Sector

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Data Broker Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Experian plc
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Equifax Inc.
• 15.3. TransUnion LLC
• 15.4. CoreLogic, Inc.
• 15.5. DUN & BRADSTREET
• 15.6. Acxiom LLC
• 15.7. EPSILON DATA MANAGEMENT, LLC
• 15.8. Equifax Workforce Solutions, Inc.
• 15.9. LexisNexis Risk Data Management Inc.
• 15.10. Thomson Reuters Corporation

16. Strategic Recommendations

17. About Us & Disclaimer