Data Brokerage Market - Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth And Forecast 2024-2030
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.
For More Details on This Report - Request for Sample
• 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
- Acxiom
- CoreLogic
- Databroker
- Peek You
- Salentica
- Data Axle
- Nielsen Marketing Cloud
- Foursquare Labs, Inc.
- LexisNexis Risk Solutions
- 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.
For more ICT related reports, please click here
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
"*Financials would be provided on a best-efforts basis for private companies"
Connect with our experts to get customized reports that best suit your requirements. Our reports include global-level data, niche markets and competitive landscape.