세계의 데이터 브로커 시장 : 데이터 유형별, 데이터 소스별, 전개 유형별, 용도별, 최종 사용자별, 제공 제품별, 데이터 가격 모델별, 기업 규모별 예측(2025-2030년)

The Data Broker Market was valued at USD 213.43 million in 2023, expected to reach USD 230.21 million in 2024, and is projected to grow at a CAGR of 7.55%, to USD 355.39 million by 2030.

The market for data brokers is witnessing significant transformation, underscored by the necessity and application across diverse sectors, including marketing, insurance, and risk management. Data brokers accumulate and sell data, offering detailed consumer profiles that aid businesses in targeted advertising and personalized marketing strategies. The necessity of data brokers is largely driven by the digital economy's reliance on data-driven decision-making to increase efficiency and precision. The end-use scope extends to industries seeking to enhance customer understanding and operational effectiveness through enriched data. Key growth factors include the surge in data volume from social media and IoT devices, the increasing demand for data-driven insights, and the advancements in AI and analytics technology that enhance data processing capabilities. Potential opportunities lie in emerging technologies such as blockchain for secure data transactions and privacy-preserving technologies which align with growing consumer privacy concerns. However, the market faces challenges including stringent data protection regulations like GDPR and CCPA, which restrict data sharing and necessitate compliance innovations, and ethical concerns about consumer privacy and data misuse that could result in reputational risks. In light of these limitations, the market needs innovations in compliance solutions and techniques to anonymize data. Research advancements should focus on integrating machine learning for predictive analytics and developing sophisticated data integration techniques. The nature of the data broker market is competitive, with a trend towards consolidation and partnerships to enhance data richness and avoid duplication. Businesses can explore diversifying their data sources and expanding their analytic capabilities to offer deeper insights, ultimately driving growth and maintaining a competitive edge. Addressing privacy concerns while maximizing data utility will define the future dynamics and sustainability of the data broker market.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Data Broker Market

The Data Broker Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing reliance on data-driven decision making and analytics across various industries
  • Growing volume and variety of data generated from diverse sources including IoT devices
  • Rising demand for enriched, high-quality, and real-time data for business intelligence applications
  • Proliferation of digital services and online transactions necessitating robust data brokerage services
• Market Restraints
  • Difficulty in ensuring data accuracy and integrity, leading to decreased trust and reliability
  • Intense market competition from established players and new entrants, driving down profit margins
• Market Opportunities
  • Government support and regulatory frameworks promoting the use of open data for innovation and transparency
  • Proliferation of social media and mobile platforms generating vast amounts of consumer data
  • Integration of artificial intelligence and machine learning technologies enhancing data processing capabilities
• Market Challenges
  • Adapting to rapidly evolving regulations in the data brokerage industry requires significant investment
  • Establishing data provenance and ownership to ensure ethical and lawful usage

Porter's Five Forces: A Strategic Tool for Navigating the Data Broker Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Data Broker Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Data Broker Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Data Broker Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Data Broker Market

A detailed market share analysis in the Data Broker Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Data Broker Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Data Broker Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Data Broker Market

A strategic analysis of the Data Broker Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Data Broker Market, highlighting leading vendors and their innovative profiles. These include Acxiom, Axiometrics, CoreLogic, Dun & Bradstreet, Epsilon, Equifax, Experian, HG Insights, ID Analytics, Infogroup, IRI, LiveRamp, Lotame, Neustar, Oracle Data Cloud, Red Ventures, Spokeo, TowerData, TransUnion, and Ziff Davis.

Market Segmentation & Coverage

This research report categorizes the Data Broker Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Data Type, market is studied across Semi-Structured Data, Structured Data, and Unstructured Data.
• Based on Data Source, market is studied across Private Data and Public Data.
• Based on Deployment Type, market is studied across Cloud and On-Premises.
• Based on Application, market is studied across Customer Analytics, Marketing and Sales, and Risk Management.
• Based on End User, market is studied across BFSI, Government, Healthcare, and Retail.
• Based on Offering, market is studied across Consulting Services, Data as a Service (DaaS), Insight as a Service, and Managed Services. The Managed Services is further studied across Data Integration, Data Quality, and Data Security.
• Based on Data Pricing Model, market is studied across Pay-Per-Use and Subscription-Based.
• Based on Company Size, market is studied across Large Enterprises and Small and Medium-Sized Enterprises (SMEs).
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing reliance on data-driven decision making and analytics across various industries
    • 5.1.1.2. Growing volume and variety of data generated from diverse sources including IoT devices
    • 5.1.1.3. Rising demand for enriched, high-quality, and real-time data for business intelligence applications
    • 5.1.1.4. Proliferation of digital services and online transactions necessitating robust data brokerage services
  • 5.1.2. Restraints
    • 5.1.2.1. Difficulty in ensuring data accuracy and integrity, leading to decreased trust and reliability
    • 5.1.2.2. Intense market competition from established players and new entrants, driving down profit margins
  • 5.1.3. Opportunities
    • 5.1.3.1. Government support and regulatory frameworks promoting the use of open data for innovation and transparency
    • 5.1.3.2. Proliferation of social media and mobile platforms generating vast amounts of consumer data
    • 5.1.3.3. Integration of artificial intelligence and machine learning technologies enhancing data processing capabilities
  • 5.1.4. Challenges
    • 5.1.4.1. Adapting to rapidly evolving regulations in the data brokerage industry requires significant investment
    • 5.1.4.2. Establishing data provenance and ownership to ensure ethical and lawful usage
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Data Broker Market, by Data Type

• 6.1. Introduction
• 6.2. Semi-Structured Data
• 6.3. Structured Data
• 6.4. Unstructured Data

7. Data Broker Market, by Data Source

• 7.1. Introduction
• 7.2. Private Data
• 7.3. Public Data

8. Data Broker Market, by Deployment Type

• 8.1. Introduction
• 8.2. Cloud
• 8.3. On-Premises

9. Data Broker Market, by Application

• 9.1. Introduction
• 9.2. Customer Analytics
• 9.3. Marketing and Sales
• 9.4. Risk Management

10. Data Broker Market, by End User

• 10.1. Introduction
• 10.2. BFSI
• 10.3. Government
• 10.4. Healthcare
• 10.5. Retail

11. Data Broker Market, by Offering

• 11.1. Introduction
• 11.2. Consulting Services
• 11.3. Data as a Service (DaaS)
• 11.4. Insight as a Service
• 11.5. Managed Services
  • 11.5.1. Data Integration
  • 11.5.2. Data Quality
  • 11.5.3. Data Security

12. Data Broker Market, by Data Pricing Model

• 12.1. Introduction
• 12.2. Pay-Per-Use
• 12.3. Subscription-Based

13. Data Broker Market, by Company Size

• 13.1. Introduction
• 13.2. Large Enterprises
• 13.3. Small and Medium-Sized Enterprises (SMEs)

14. Americas Data Broker Market

• 14.1. Introduction
• 14.2. Argentina
• 14.3. Brazil
• 14.4. Canada
• 14.5. Mexico
• 14.6. United States

15. Asia-Pacific Data Broker Market

• 15.1. Introduction
• 15.2. Australia
• 15.3. China
• 15.4. India
• 15.5. Indonesia
• 15.6. Japan
• 15.7. Malaysia
• 15.8. Philippines
• 15.9. Singapore
• 15.10. South Korea
• 15.11. Taiwan
• 15.12. Thailand
• 15.13. Vietnam

16. Europe, Middle East & Africa Data Broker Market

• 16.1. Introduction
• 16.2. Denmark
• 16.3. Egypt
• 16.4. Finland
• 16.5. France
• 16.6. Germany
• 16.7. Israel
• 16.8. Italy
• 16.9. Netherlands
• 16.10. Nigeria
• 16.11. Norway
• 16.12. Poland
• 16.13. Qatar
• 16.14. Russia
• 16.15. Saudi Arabia
• 16.16. South Africa
• 16.17. Spain
• 16.18. Sweden
• 16.19. Switzerland
• 16.20. Turkey
• 16.21. United Arab Emirates
• 16.22. United Kingdom

17. Competitive Landscape

• 17.1. Market Share Analysis, 2023
• 17.2. FPNV Positioning Matrix, 2023
• 17.3. Competitive Scenario Analysis
• 17.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Acxiom
• 2. Axiometrics
• 3. CoreLogic
• 4. Dun & Bradstreet
• 5. Epsilon
• 6. Equifax
• 7. Experian
• 8. HG Insights
• 9. ID Analytics
• 10. Infogroup
• 11. IRI
• 12. LiveRamp
• 13. Lotame
• 14. Neustar
• 15. Oracle Data Cloud
• 16. Red Ventures
• 17. Spokeo
• 18. TowerData
• 19. TransUnion
• 20. Ziff Davis