Data Brokerage Market - Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth And Forecast 2024-2030

Report Code: ITR 0128 Report Format: PDF + Excel

Data Brokerage Market - Overview

Data Brokerage Market size is forecast to reach $385 billion by 2030, after growing at a CAGR of 10% during 2024-2030. Data brokerage, a pivotal sector in the information economy, is witnessing notable growth trends driven by evolving consumer behaviors and technological advancements. Firstly, the increasing digitalization across industries is fueling the demand for data brokerage services, as businesses seek to harness the power of data for informed decision-making and personalized customer experiences. Secondly, the rising emphasis on data privacy and regulatory compliance is shaping the landscape of data brokerage, with companies investing in robust security measures and transparent data handling practices to build trust among consumers and adhere to stringent regulations. Furthermore, the proliferation of IoT devices and connected technologies is generating vast amounts of data, presenting lucrative opportunities for data brokers to aggregate, analyze, and monetize data streams. Moreover, the adoption of advanced analytics and machine learning algorithms is revolutionizing data brokerage by enabling real-time insights and predictive analytics, empowering businesses to anticipate market trends and optimize operational efficiencies. As the data brokerage market continues to evolve, companies are also exploring innovative business models such as data-as-a-service (DaaS) and blockchain-based data marketplaces to unlock new revenue streams and enhance data governance. In summary, the data brokerage landscape is characterized by dynamic growth propelled by digital transformation, regulatory dynamics, technological innovation, and evolving business models, shaping the future of data-driven decision-making and competitive advantage

Report Coverage

The report: “Data Brokerage Market – Forecast (2024-2030)”, by IndustryARC, covers an in-depth analysis of the following segments of the Data Brokerage Industry. 

                                      

By Data Type – Qualitative (Nominal, Ordinal), Qualitative (Discrete, Continuous)
By Targets – Risk Reduction, People Search, Marketing Strategy, Others
By Application – Demographic data, Court and public records data, Social media and technology data, Home and neighborhood data, General Interest Data, Financial data, Vehicle data, Travel data, Purchase Behavior Data, E-Commerce, Health data, Others
By End Uses – Government, Automotive, Banking, Food and Beverage, Retail, Tourism, Telecommunication and IT, Education, Electronics, Others
By Geography: North America (USA, Canada, and Mexico, Rest of North America), South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, Costa Rica, Rest of South America), Europe (UK, Germany, Italy, France, Netherlands, Belgium, Spain, Denmark, and Rest of Europe), Asia-Pacific (China, South Korea, India, Australia, Taiwan, Malaysia, Hong Kong, and Rest of APAC), and Middle East and Africa (Israel, South Africa, Saudi Arabia) and Rest of Middle East and Africa.

Key Takeaways

• North America dominates the Data Brokerage market owing to its robust technological infrastructure, advanced data analytics capabilities, and mature regulatory framework.
• The data brokerage market is experiencing rapid expansion driven by the increasing demand for consumer insights and personalized marketing strategies.
• Technological advancements such as artificial intelligence (AI) and machine learning (ML) are revolutionizing the data brokerage landscape. Data brokers are increasingly employing advanced analytics tools to derive actionable insights from vast datasets efficiently.

Data Brokerage Market Segment Analysis- By Type

Quantitative segment holds the largest share in the Data Brokerage market in 2023 owing to its inherent characteristics and the evolving needs of businesses and investors. Firstly, the structured nature of quantitative data, comprising numerical values and statistical metrics, facilitates easy analysis and interpretation, making it highly desirable for decision-making processes across various sectors. Businesses leverage quantitative data to assess market trends, consumer behavior, and performance metrics, enabling them to refine strategies and optimize operations for enhanced competitiveness and profitability. Secondly, quantitative data holds significant appeal for investors seeking data-driven insights to inform investment decisions. Quantitative datasets offer valuable information on market dynamics, risk assessment, and performance indicators, empowering investors to identify lucrative opportunities and mitigate potential risks effectively.

Data Brokerage Market Segment Analysis- By Targets

People Search held the largest share for the global Data Brokerage market share in 2023 and is growing at a CAGR of 7% during this forecast period. People Search, as a segment of the Data Brokerage market, has witnessed significant growth and dominance in 2023 due to several key factors. The increasing reliance on digital platforms and social media has amplified the demand for comprehensive people search services, enabling businesses and individuals to access accurate and up-to-date information about individuals for various purposes, including background checks, identity verification, and marketing campaigns. The surge in online transactions and digital interactions has propelled the need for robust identity verification and fraud prevention measures, driving the adoption of people search services by financial institutions, e-commerce platforms, and cybersecurity firms. Additionally, advancements in data analytics technologies and machine learning algorithms have enhanced the capabilities of people search platforms to aggregate, analyze, and deliver actionable insights from vast datasets, further fueling market growth.

Data Brokerage Market Segment Analysis- Geography

North America dominated the Data Brokerage market with a share of more than 30%, followed by Asia Pacific and Europe. The region boasts a highly developed and technologically advanced economy, characterized by a strong presence of multinational corporations across various sectors such as finance, retail, healthcare, and technology. These industries generate vast amounts of data, driving the demand for data brokerage services to analyze consumer behavior, market trends, and competitive landscapes. Secondly, North America's regulatory environment, while stringent in terms of data privacy and security, provides a framework conducive to data brokerage activities, fostering innovation and entrepreneurship in the data-driven economy. Additionally, the region's robust infrastructure, including high-speed internet connectivity and cloud computing services, facilitates the storage, processing, and analysis of large datasets, further fueling the growth of the Data Brokerage market. Moreover, North America's culture of innovation and early adoption of emerging technologies contribute to the continuous evolution and expansion of data brokerage services, positioning the region as a global leader in the data economy.
            
                                      
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• Increasing Demand for Targeted Marketing

The escalating demand for targeted marketing serves as a pivotal market driver within the Data Brokerage sector, catalysing transformative shifts in consumer engagement strategies and business outcomes. In response to evolving consumer preferences and technological advancements, businesses are increasingly prioritizing personalized marketing approaches to enhance customer acquisition, retention, and loyalty. Targeted marketing enables companies to leverage comprehensive datasets obtained through data brokerage services, empowering them to discern intricate consumer behaviours, preferences, and purchasing patterns. By harnessing this wealth of information, businesses can craft highly tailored marketing campaigns, delivering relevant content and offers to specific demographic segments with precision and efficiency. This tailored approach not only fosters stronger brand-consumer relationships but also drives higher conversion rates and return on investment (ROI) for marketing initiatives.

• Rising Emphasis on Data-Driven Decision Making

The rising emphasis on data-driven decision-making is serving as a significant market driver in the data brokerage industry. Businesses across diverse sectors increasingly recognize the inherent value of data in shaping strategic initiatives and operational efficiencies. Leveraging comprehensive datasets sourced through data brokers, organizations gain insights into consumer behaviour, market trends, and competitive landscapes. This emphasis stems from the acknowledgment that data-driven decisions lead to better outcomes, improved customer experiences, and enhanced competitive advantage. By harnessing data brokerage services, companies streamline their decision-making processes, mitigate risks, and capitalize on emerging opportunities in dynamic market environments. The growing reliance on data-driven insights underscores the pivotal role of data brokers in facilitating access to relevant and actionable information. This trend aligns with the evolving business landscape, where agility and informed decision-making are paramount for sustainable growth and market leadership.

Challenges – Data Brokerage Market  

Data Security Concerns

Data security concerns present a formidable challenge in the Data Brokerage market, necessitating robust measures to protect sensitive information. With the proliferation of data transactions and exchanges, ensuring the confidentiality, integrity, and availability of data becomes paramount. The increasing sophistication of cyber threats, ranging from hacking attempts to data breaches, underscores the critical importance of implementing stringent security protocols. Data brokers, entrusted with vast volumes of personal and corporate data, face the daunting task of safeguarding this information against unauthorized access and exploitation. Moreover, heightened regulatory scrutiny, exemplified by regulations like GDPR and CCPA, imposes stringent compliance requirements on data handling practices, further amplifying the complexity of security management. As data breaches continue to make headlines, eroding consumer trust and tarnishing corporate reputations, data brokers must adopt a proactive stance towards cybersecurity. In March 2023, The Consumer Financial Protection Bureau (CFPB) has launched an inquiry into companies that track and collect information on people’s personal lives. In issuing this new Request for Information, the CFPB wants to understand the full scope and breadth of data brokers and their business practices, their impact on the daily lives of consumers, and whether they are all playing by the same rules. This request is a chance for the public to share feedback about companies that play a significant role in people’s lives and in the economy.

Market Landscape

Technology launches, acquisitions and R&D activities are key strategies adopted by players in the Data Brokerage market. In 2023, the top 10 companies in the Data Brokerage market are
  1. Acxiom
  2. CoreLogic
  3. Databroker
  4. Peek You
  5. Salentica
  6. Data Axle
  7. Nielsen Marketing Cloud
  8. Foursquare Labs, Inc.
  9. LexisNexis Risk Solutions
  10. OnAudience

Developments:

 In February 2023, CoreLogic, a leading global property information, analytics and data-enabled solutions provider, has acquired Roostify, a leading digital mortgage technology provider. By integrating Roostify’s digital mortgage technology platform with CoreLogic’s robust data, analytics and workflow solutions, clients will gain critical information about borrowers and properties at the beginning of the loan process, saving both time and money. 

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1. Data Brokerage Market - Overview
    1.1. Definitions and Scope
2. Data Brokerage Market - Executive summary
    2.1. Market Revenue, Market Size and Key Trends by Company
    2.2. Key Trends by type of Application
    2.3. Key Trends segmented by Geography
3. Data Brokerage Market 
    3.1. Comparative analysis
        3.1.1. Product Benchmarking - Top 10 companies
        3.1.2. Top 5 Financials Analysis
        3.1.3. Market Value split by Top 10 companies
        3.1.4. Patent Analysis - Top 10 companies
        3.1.5. Pricing Analysis 
4. Data Brokerage Market – Startup companies Scenario Premium Premium
    4.1. Top 10 startup company Analysis by
        4.1.1. Investment
        4.1.2. Revenue
        4.1.3. Market Shares
        4.1.4. Market Size and Application Analysis
        4.1.5. Venture Capital and Funding Scenario
5. Data Brokerage Market – Industry Market Entry Scenario Premium Premium
    5.1. Regulatory Framework Overview
    5.2. New Business and Ease of Doing business index
    5.3. Case studies of successful ventures
    5.4. Customer Analysis – Top 10 companies
6. Data Brokerage Market Forces
    6.1. Drivers
    6.2. Constraints
    6.3. Challenges
    6.4. Porters five force model
        6.4.1. Bargaining power of suppliers
        6.4.2. Bargaining powers of customers
        6.4.3. Threat of new entrants
        6.4.4. Rivalry among existing players
        6.4.5. Threat of substitutes 
7. Data Brokerage Market -Strategic analysis
    7.1. Value chain analysis
    7.2. Opportunities analysis
    7.3. Product life cycle
    7.4. Suppliers and distributors Market Share
8. Data Brokerage Market – By Data Types (Market Size -$Million / $Billion)
    8.1. Market Size and Market Share Analysis 
    8.2. Application Revenue and Trend Research
    8.3. Product Segment Analysis
        8.3.1. Introduction
        8.3.2. Qualitative
            8.3.2.1. Nominal
            8.3.2.2. Ordinal
        8.3.3. Quantitative
             8.3.3.1. Discrete
             8.3.3.2. Continuous
9. Data Brokerage Market – By Targets (Market Size -$Million / $Billion)
    9.1. Introduction
    9.2. Risk Reduction
    9.3. People Search
    9.4. Marketing Strategy
10. Data Brokerage Market – By Applications (Qualitative/Quantitative) (Market Size -$Million / $Billion)
    10.1. Demographic data
        10.1.1. Age
        10.1.2. Height
        10.1.3. Weight
        10.1.4. Gender
        10.1.5. Country of origin
        10.1.6. Others
    10.2. Court and public records data
        10.2.1. Bankruptcies
        10.2.2. Criminal offenses and Convictions
        10.2.3. Judgments
        10.2.4. Liens
        10.2.5. Others
    10.3. Social media and technology data
        10.3.1. Electronic purchase 
        10.3.2. Friend connections
        10.3.3. Internet connection type
        10.3.4. Internet provider
        10.3.5. Level of usage
        10.3.6. Others
    10.4. Home and neighborhood data
        10.4.1. Address coded as public/government Housing
        10.4.2. Home Equity
        10.4.3. Home size
        10.4.4. Lender
        10.4.5. Rent Price
        10.4.6. Type of owner
        10.4.7. Others
    10.5. General Interest Data
        10.5.1. Apparel Preferences 
        10.5.2. Charitable giving
        10.5.3. Casinos
        10.5.4. Magazine and catalog subscriptions
        10.5.5. Media channel used
        10.5.6. Others
    10.6. Financial data
        10.6.1. Ability to afford products
        10.6.2. Credit card users
        10.6.3. Presence of gold or platinum card
        10.6.4. Investment interests 
        10.6.5. Life insurance
        10.6.6. Others
    10.7. Vehicle data
        10.7.1. Brand Preferences
        10.7.2. Insurance Renewal
        10.7.3. Vehicles owned
        10.7.4. Vehicle value index
        10.7.5. Vehicle owner
        10.7.6. Others
    10.8. Travel data
        10.8.1. Read books and magazine about travel
        10.8.2. Travel purchase
        10.8.3. Date of last travel purchase
        10.8.4. Vacation property
        10.8.5. Vacation destination
        10.8.6. Others
    10.9. Purchase Behavior Data
        10.9.1. Amount spent on goods
        10.9.2. Buying activity
        10.9.3. Method of payment
        10.9.4. Types of purchases
        10.9.5. Last online order date
        10.9.6. Order’s range
        10.9.7. Others
    10.10. E-Commerce
    10.11. Health data
        10.11.1. Smoker in household
        10.11.2. Tobacco usage
        10.11.3. Geriatric supplies
        10.11.4. Allergy Sufferer
        10.11.5. Health magazine
        10.11.6. Weight loss and supplements
        10.11.7. Others
11. Data Brokerage – End users (Market Size -$Million / $Billion)
    11.1. Segment type Size and Market Share Analysis 
    11.2. Application Revenue and Trends by type of Application
    11.3. Application Segment Analysis by Type
        11.3.1. Government
        11.3.2. Automotive
        11.3.3. Healthcare
        11.3.4. Banking
        11.3.5. Food and Beverage
        11.3.6. Retail
        11.3.7. Tourism
        11.3.8. Telecommunication and IT
        11.3.9. Education
        11.3.10. Electronics market
        11.3.11. Others
12. Data Brokerage - By Geography (Market Size -$Million / $Billion)
    12.1. Data Brokerage Market - North America Segment Research
    12.2. North America Market Research (Million / $Billion)
        12.2.1. Segment type Size and Market Size Analysis 
        12.2.2. Revenue and Trends
        12.2.3. Application Revenue and Trends by type of Application
        12.2.4. Company Revenue and Product Analysis
        12.2.5. North America Product type and Application Market Size
            12.2.5.1. U.S.
            12.2.5.2. Canada 
            12.2.5.3. Mexico 
12.3. Data Brokerage - South America Segment Research
    12.4. South America Market Research (Market Size -$Million / $Billion)
        12.4.1. Segment type Size and Market Size Analysis 
        12.4.2. Revenue and Trends
        12.4.3. Application Revenue and Trends by type of Application
        12.4.4. Company Revenue and Product Analysis
        12.4.5. South America Product type and Application Market Size
            12.4.5.1. Brazil  
            12.4.5.2. Venezuela
            12.4.5.3. Argentina
            12.4.5.4. Ecuador
            12.4.5.5. Peru
            12.4.5.6. Colombia 
            12.4.5.7. Costa Rica
            12.4.5.8. Rest of South America
    12.5. Data Brokerage - Europe Segment Research
    12.6. Europe Market Research (Market Size -$Million / $Billion)
        12.6.1. Segment type Size and Market Size Analysis 
        12.6.2. Revenue and Trends
        12.6.3. Application Revenue and Trends by type of Application
        12.6.4. Company Revenue and Product Analysis
        12.6.5. Europe Segment Product type and Application Market Size
            12.6.5.1. U.K  
            12.6.5.2. Germany 
            12.6.5.3. Italy 
            12.6.5.4. France
            12.6.5.5. Netherlands
            12.6.5.6. Belgium
            12.6.5.7. Spain
            12.6.5.8. Denmark
            12.6.5.9. Rest of Europe
    12.7. Data Brokerage – APAC Segment Research
    12.8. APAC Market Research (Market Size -$Million / $Billion)
        12.8.1. Segment type Size and Market Size Analysis 
        12.8.2. Revenue and Trends
        12.8.3. Application Revenue and Trends by type of Application
        12.8.4. Company Revenue and Product Analysis
        12.8.5. APAC Segment – Product type and Application Market Size
            12.8.5.1. China 
            12.8.5.2. Australia
            12.8.5.3. Japan 
            12.8.5.4. South Korea
            12.8.5.5. India
            12.8.5.6. Taiwan
            12.8.5.7. Malaysia
            12.8.5.8. Rest of APAC
    12.9 RoW
        12.9.1 Middle East
        12.9.2 Africa
13. Data Brokerage Market - Entropy
    13.1. New product launches
    13.2. M&A's, collaborations, JVs and partnerships
14. Data Brokerage Market – Industry / Segment Competition landscape Premium Premium
    14.1. Market Share Analysis
        14.1.1. Market Share by Country- Top companies
        14.1.2. Market Share by Region- Top 10 companies
        14.1.3. Market Share by type of Application – Top 10 companies
        14.1.4. Market Share by type of Product / Product category- Top 10 companies
        14.1.5. Market Share at global level- Top 10 companies
        14.1.6. Best Practices for companies
15. Data Brokerage Market – Key Company List by Country Premium Premium
16. Data Brokerage Market Company Analysis
        16.1. Market Share, Company Revenue, Products, M&A, Developments
        16.2. Acxiom
        16.3. CoreLogic
        16.4. Databroker
        16.5. Peek You
        16.6. Salentica
        16.7. Data Axle
        16.8. Nielsen Marketing Cloud
        16.9. Foursquare Labs, Inc.
        16.10. LexisNexis Risk Solutions
        16.11. OnAudience

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