Data Broker Market: Global Industry Analysis and Forecast (2024-2030) (2024)

Data Broker Market to grow from US$ 280.82 Bn. in 2023 to US$ 382.16 Bn by 2030, at a CAGR 4.5 % during forecast period.The development of information technology, such as the World Wide Web and the growing number of devices capable of recording and transmitting data, has turned data into a valuable commodity in the 21st century. As the Internet of Things (IoT) technology becomes more widely adopted, devices will produce exponentially more data globally in the next few years. This will further increase the demand for data brokers. According to a report by Cisco, IoT devices will generate data worth US$8 trillion in 2022. Data brokers are companies that collect and sell data to businesses and other organizations. They play an important role in the data economy by making data more accessible and useful. The demand for data brokers is expected to grow as the amount of data generated by IoT devices continues to increase
Data Broker Market Overview:
Data has become a commodity in the twenty-first century due to the advancement of information technology such as the internet and the expanding number of gadgets capable of capturing and transferring data. Previously, businesses and investors only examined a few data categories, including a mix of traditional and alternative data. Businesses and data providers now gather massive amounts of alternative data. As a result, third-party data suppliers can supplement the information that enterprises currently have. This approach eventually gave rise to data brokerage, the acquisition of individual, sensor, social media, and corporate data. Businesses and investors use this data for a variety of objectives.Companies and people who gather this data are now known as data brokers or data providers.Data broking is crucial in practically every profession, whether it is connected to government or private, because each sector works for customers and focuses on their needs. Data brokers supply maximum information to organizations, who then promote their products and policies based on demand.
Report Scope:
The purpose of this report is to offer industry stakeholders with a comprehensive analysis of the global Intelligent Traffic Management System Market. The research assesses datasets in simpler words and gives historical and current industry trends, as well as anticipated market size and prospects. The report investigates all aspects of the sector, including a deep assessment of market leaders, followers, and new entrants. The report covers a PORTER and PESTEL analysis, as well as the potential impact of market microeconomic factors.External and internal factors that are expected to have a positive or negative affect on the industry have been researched, presenting decision-makers with a clear future picture of the business. By examining market segments and estimating the Intelligent Traffic Management System Market size, the studies also assist in understanding the dynamic and structure of the Digital Marketing Courses Market. The report acts as a reference for investors by clearly depicting the competition analysis of top players in the Intelligent Traffic Management System Market by segment type and geographical presence.
Research Methodology:
The report on the Global Intelligent Traffic Management System Market examines the market for the forecast period 2024-2030. The report's market outlook section focuses on the fundamental features of the market, such as the industry's drivers, limitations, opportunities, and challenges. The report is divided into various sections and contains an examination of industry trends and characteristics. The information gives a comprehensive evaluation of the present rapid improvements in all business areas. Key data analysis for the historical period from 2018 to 2023 is provided using facts and statistics, visuals, and presentations. This MMR report includes recommendations based on a detailed study of the present competitive climate in the Intelligent Traffic Management System industry.Primary research is undertaken after secondary research to validate the facts gathered in secondary research. Secondary research is conducted to discover segment features, qualitative and quantitative data, and the factors driving market growth. Secondary sources for the research included press announcements, organisation annual reports, government websites, and market research reports. Primary research is conducted by interviews, surveys, important opinion from stakeholders, experienced experts, and so on. The research also covers current developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the effect of domestic and major & localised market players, changes in market regulations, and strategic market growth analysis.To know about the Research Methodology :- Request Free Sample Report
Data Broker Market Dynamics:
New technologies and business models, such as social media and mobile applications, have enhanced the availability, diversity, and volume of information.A data broker's core business is to store personal information and gather behavioral data from a range of online and offline sources without directly engaging with people. Data brokers sell data that is not only informative and valuable but also extremely powerful. The capacity to access such complete data has transformative potential for organizations, governments, the military, and even private individuals; data is the foundation of productivity, competition, and innovation in today's society.The emergence of new technologies and business models, such as social media and mobile apps, has boosted the availability, diversity, and amount of data in recent years. It has also increased in data-related enterprises. Gartner estimates that there are around 5,000 data brokers globally. Government agencies and non-governmental organizations have published about 10 million free datasets.The current business intelligence (BI) sector analyses a growing volume of data to maximize the value of each existing program and technology a company hires. BI is increasing as the digital economy develops and the usage of mobile devices continues to increase. As a result, larger data sets are generated, which serve as a useful tool for meeting the demands of business intelligence throughout the globe. Interest from organizations throughout the globe to use the data wisely has been developing constantly to build efficient business strategies. This, in turn, increases the need for data broker companies.Violation of Privacy is a major restraining factor for market growth.Without their explicit consent, and frequently without their knowledge or awareness, data brokers acquire, process, and exchange data about private persons. Consumers may be aware that they are contributing data that may be used by third-party vendors, but it is sometimes difficult for users to completely grasp what they are committing to; agreement to share data is frequently "sneakily added." 47 Unexpected data transfers are possible due to industry practices—for example, a user may consent to submit personal data to a company (for example, by accepting a cookie on a website) without realizing that years later when that company has changed owners or gone bankrupt, the same data points may belong to a different company with completely different business practices.Data brokers frequently reject these tactics by emphasizing the anonymity of the data they keep and sell, however as has been proved several times, anonymous data can readily be de-anonymized by cross-referencing various data sets. Research published in Nature, for example, demonstrated how, given the correct conditions, geolocation data points may be used to identify 95% of persons in a data set. Data brokers are a direct threat to privacy because they can expose sensitive personal information or put an individual in a situation where they are harmed without knowing why and without the ability to correct the problem, such as being denied a mortgage, charged a higher insurance rate, or subjected to discriminatory practices.The Malicious use of Data is a threat to market growth.Concerns have been raised about the exploitation of personal data legitimately sold by brokers. These difficulties are frequently caused by structural deficiencies in the sector and a lack of adequate regulation; they result in problems on a relatively small scale, the size of the person. More significant concerns exist when bad actors, such as foreign governments or terrorist groups, utilize data brokers with the purpose to inflict harm. In such instances, data brokers are a weak link in the chain of national security.Data brokerages are a treasure trove for malicious actors in the twenty-first century, particularly from a military standpoint. A hostile actor can collect extensive and possibly sensitive information about its targets even without expensive intelligence and reconnaissance capabilities. Without regard for the legality of information collection, vast and detailed data sets can be obtained quickly and at a low cost. And, because the industry has very low entry barriers and only conducts screenings on a sporadic basis, the market is open to any actor with the means to pay for products and services. If legal access cannot be achieved, hacking into a data broker's server is often profitable since a plethora of data is housed in one location and security methods are often inadequate.
Data Broker Market Segment Analysis:
By Data Type, the Unstructured Data segment is expected to grow substantially during the forecast period. The successful operation of corporations, enterprises, and other organizations is dependent on the management, comprehension, and efficient use of vast amounts of unstructured data and information known as Big Data, which can come from social media, web content, sensors, and machine output, XML, and documents.Finance, order processing, manufacturing, and customer relationship management systems that readily comply with standard data formats (such as rows and columns with well-defined schema) also contribute to Big Data analysis. Deriving economic value and effective operations are increasingly dependent on the management, analysis, and comprehension of information that is not easily available without human or machine interpretation. Documents, XML, multimedia material, and online content are common examples, as are specialized information such as satellite and medical images, maps and geographic information, sensor data, and semantic web architectures.The Structured Data segment held the largest market share of about xx% for the Data Broker market in 2023 and is expected to grow rapidly during the forecast period. Structured data, which is most commonly derived from text files, is information that can be readily arranged and processed using data mining and/or management tools. Most businesses are familiar with structured data since it now constitutes the majority, if not all, of their available information and hence it is driving the segment growth during the forecast period. Consider structured data to be the digital counterpart of a well-organized file cabinet, with each record labeled, arranged, and optimized for retrieval.By End-user Sector, the BFSI segment held the largest market share of the Data Broker market in 2023 and is expected to grow rapidly during the forecast period. The financial services sector relies on innovation to conduct its operations more today than ever before. The commercial reasons driving banks to seek big data technology to meet the workloads listed would come as no surprise to anyone familiar with the banking industry's recent focus. To acquire a clearer picture of a person's finances, data brokers can combine information such as purchase history, loan history, and credit score.Banks, credit card companies, and landlords may find this information useful. They may use this information to decide whether they want to deal with someone and what the optimum interest rates would be based on the risks involved. These data brokers get information on specific individuals from a variety of public records. Brokers may use this information to develop a thorough profile of a person, including their entire name, age, education, career history, and even special hobbies. Due to the benefits of the Data Brokers, the segment growth is increasing.Additionally, banks and lending institutions utilize data brokering tailor loan offers to individual prospects. After that, a data broker would gather financial data and information, such as online purchase history, from which corporations could identify the individual's financial status and anticipate purchasing intent. This would inform the bank about the magnitude of loan that might be risked with that person, as well as the interest rate that should be set. As a result, the category is growing.
Data Broker Market Regional Insights:
The North American market held the largest revenue share for the Data Broker market of about xx% in 2023 and is expected to lead the market at the end of the forecast period. The existence of big data broker organizations and unregulated data broker solutions in the United States is attributed to the region's market growth. Top data broker organizations are already selling a large volume of data about US residents to various enterprises ranging from insurance companies to US law enforcement agencies and international groups.There is a billion-dollar business in the United States that centers on customer data, yet most consumers are unaware of its existence. Data brokers are firms that collect customer information to purchase and sell. Consumers provide these firms with more vital information. Data brokers utilize their data for a variety of objectives, one of which is marketing. There is no federal legislation in the United States that governs the acquisition and use of this data by data brokers. By failing to provide regulation, the United States has failed its customers. Vermont and California are two states that have taken steps to secure consumer data online.In the United States, data brokerage—the process of purchasing, collecting, selling, licensing, and otherwise exchanging people's data—is essentially unregulated. Major data brokerage firms are presently offering reams of data on U.S. individuals for sale, and virtually nothing in current U.S. law limits their selling that data to a range of sectors, from insurance firms to U.S. law enforcement agencies to foreign entities. This information might be utilized for a variety of operations that violate Americans' civil rights, harm US national security, and endanger democracy itself.The US organizations should consider granting the executive branch export control authority to prohibit prospective data broker sales of sensitive data on US citizens to foreign states and non-state entities with close links to foreign intelligence and security services. The United States should also make data brokerage a central component of strong federal privacy legislation that establishes and implements restrictions on the private collection, aggregation, sale, licensing, and sharing of U.S. individuals' data—including placing limits on federal government purchases of data broker data and giving the Federal Trade Commission more authority to investigate unfair and exploitative data broker practices.
Data Broker Market Scope: Inquire before buying
Data Broker Market
Report Coverage
Details
Base Year:
2023
Forecast Period:
2024-2030
Historical Data:
2018 to 2023
Market Size in 2023:
US $ 280.82 Bn.
Forecast Period 2024 to 2030 CAGR:
4.5%
Market Size in 2030:
US $ 382.16 Bn.
 Segments Covered:
by Data Category
ConsumerCreditGovernmentTechnicalReal EstateEducation & TrainingProduct & ServicesRisk ManagementOther Data Types
by Data Type
Unstructured DataStructured DataCustom Structure Data
by Pricing Model
Subscription PaidPay Per Use PaidHybrid Paid Models
by End Use Sector
BFSIRetail And FMCGManufacturingMediaGovernment SectorOthers Sector
Data Broker Market, by Region
North America(United States, Canada and Mexico)Europe(UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe)Asia Pacific(China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC)Middle East and Africa(South Africa, GCC, Egypt, Nigeria and Rest of ME&A)South America(Brazil, Argentina, Columbia and Rest of South America)
Data Broker Market, Key Players are
1. Acxiom2. Experian3. Equifax4. CoreLogic5. TransUnion6. Oracle7. Lifelock8.H.I.G. Capital9. PeekYou10. TowerData11. Alibaba12. Bloomberg13. Datasift14. FICO15. RELX16. Thomson Reuters17. Wolters Kluver18. Ignite Technologies19. HG Data20. IBM21. Morningstar22. Qlik23. IHS MarkitFAQs:1. Which is the potential market for the Data Broker in terms of the region?Ans. North America is the potential market for the Data Broker in terms of the region.2. What are the challenges for new market entrants?Ans. The Malicious use of Data is a threat to market growth.3. What is expected to drive the growth of the Data Broker market in the forecast period?Ans. New technologies and business models, such as social media and mobile applications, have enhanced the availability, diversity, and volume of information.4. What is the projected market size & growth rate of the Data Broker Market?Ans. Data Broker Market size was valued at USD 280.82 Bn. in 2023 and the total Data Broker revenue is expected to grow at 4.5% from 2024 to 2030, reaching nearly USD 382.16 Bn.5. What segments are covered in the Data Broker Market report?Ans. The segments covered are by Data Category, Data Type, Pricing Model, End Use Sector, and Region.
 

1.Data BrokerMarket Introduction1.1. Study Assumption and Market Definition1.2. Scope of the Study1.3. Executive Summary2.Data BrokerMarket: Dynamics2.1.Data BrokerMarket Trends by Region2.1.1. North AmericaData BrokerMarket Trends2.1.2. EuropeData BrokerMarket Trends2.1.3. Asia PacificData BrokerMarket Trends2.1.4. Middle East and AfricaData BrokerMarket Trends2.1.5. South AmericaData BrokerMarket Trends2.2.Data BrokerMarket Dynamics by Region2.2.1. North America2.2.1.1. North AmericaData BrokerMarket Drivers2.2.1.2. North AmericaData BrokerMarket Restraints2.2.1.3. North AmericaData BrokerMarket Opportunities2.2.1.4. North AmericaData BrokerMarket Challenges2.2.2. Europe2.2.2.1. EuropeData BrokerMarket Drivers2.2.2.2. EuropeData BrokerMarket Restraints2.2.2.3. EuropeData BrokerMarket Opportunities2.2.2.4. EuropeData BrokerMarket Challenges2.2.3. Asia Pacific2.2.3.1. Asia PacificData BrokerMarket Drivers2.2.3.2. Asia PacificData BrokerMarket Restraints2.2.3.3. Asia PacificData BrokerMarket Opportunities2.2.3.4. Asia PacificData BrokerMarket Challenges2.2.4. Middle East and Africa2.2.4.1. Middle East and AfricaData BrokerMarket Drivers2.2.4.2. Middle East and AfricaData BrokerMarket Restraints2.2.4.3. Middle East and AfricaData BrokerMarket Opportunities2.2.4.4. Middle East and AfricaData BrokerMarket Challenges2.2.5. South America2.2.5.1. South AmericaData BrokerMarket Drivers2.2.5.2. South AmericaData BrokerMarket Restraints2.2.5.3. South AmericaData BrokerMarket Opportunities2.2.5.4. South AmericaData BrokerMarket Challenges2.3. PORTER’s Five Forces Analysis2.4. PESTLE Analysis2.5. Technology Roadmap2.6. Regulatory Landscape by Region2.6.1. North America2.6.2. Europe2.6.3. Asia Pacific2.6.4. Middle East and Africa2.6.5. South America2.7. Key Opinion Leader Analysis ForData BrokerIndustry2.8. Analysis of Government Schemes and Initiatives ForData BrokerIndustry2.9.Data BrokerMarket Trade Analysis2.10. The Global Pandemic Impact onData BrokerMarket3.Data BrokerMarket: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million)2023-20303.1.Data BrokerMarket Size and Forecast, by Data Category (2023-2030)3.1.1. Consumer3.1.2. Credit3.1.3. Government3.1.4. Technical3.1.5. Real Estate3.1.6. Education & Training3.1.7. Product & Services3.1.8. Risk Management3.1.9. Other Data Types3.2.Data BrokerMarket Size and Forecast, by Data Type (2023-2030)3.2.1. Unstructured Data3.2.2. Structured Data3.2.3. Custom Structure Data3.3.Data BrokerMarket Size and Forecast, by Pricing Model (2023-2030)3.3.1. Subscription Paid3.3.2. Pay Per Use Paid3.3.3. Hybrid Paid Models3.4.Data BrokerMarket Size and Forecast, by End Use Sector (2023-2030)3.4.1. BFSI3.4.2. Retail And FMCG3.4.3. Manufacturing3.4.4. Media3.4.5. Government Sector3.4.6. Others Sector3.5.Data BrokerMarket Size and Forecast, by Region (2023-2030)3.5.1. North America3.5.2. Europe3.5.3. Asia Pacific3.5.4. Middle East and Africa3.5.5. South America4. North AmericaData BrokerMarket Size and Forecast by Segmentation (by Value in USD Million)2023-20304.1. North AmericaData BrokerMarket Size and Forecast, by Data Category (2023-2030)4.1.1. Consumer4.1.2. Credit4.1.3. Government4.1.4. Technical4.1.5. Real Estate4.1.6. Education & Training4.1.7. Product & Services4.1.8. Risk Management4.1.9. Other Data Types4.2. North AmericaData BrokerMarket Size and Forecast, by Data Type (2023-2030)4.2.1. Unstructured Data4.2.2. Structured Data4.2.3. Custom Structure Data4.3. North AmericaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)4.3.1. Subscription Paid4.3.2. Pay Per Use Paid4.3.3. Hybrid Paid Models4.4. North AmericaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)4.4.1. BFSI4.4.2. Retail And FMCG4.4.3. Manufacturing4.4.4. Media4.4.5. Government Sector4.4.6. Others Sector4.5. North AmericaData BrokerMarket Size and Forecast, by Country (2023-2030)4.5.1. United States4.5.1.1. United StatesData BrokerMarket Size and Forecast, by Data Category (2023-2030)4.5.1.1.1. Consumer4.5.1.1.2. Credit4.5.1.1.3. Government4.5.1.1.4. Technical4.5.1.1.5. Real Estate4.5.1.1.6. Education & Training4.5.1.1.7. Product & Services4.5.1.1.8. Risk Management4.5.1.1.9. Other Data Types4.5.1.2. United StatesData BrokerMarket Size and Forecast, by Data Type (2023-2030)4.5.1.2.1. Unstructured Data4.5.1.2.2. Structured Data4.5.1.2.3. Custom Structure Data4.5.1.3. United StatesData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)4.5.1.3.1. Subscription Paid4.5.1.3.2. Pay Per Use Paid4.5.1.3.3. Hybrid Paid Models4.5.1.4. United StatesData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)4.5.1.4.1. BFSI4.5.1.4.2. Retail And FMCG4.5.1.4.3. Manufacturing4.5.1.4.4. Media4.5.1.4.5. Government Sector4.5.1.4.6. Others Sector4.5.2. Canada4.5.2.1. CanadaData BrokerMarket Size and Forecast, by Data Category (2023-2030)4.5.2.1.1. Consumer4.5.2.1.2. Credit4.5.2.1.3. Government4.5.2.1.4. Technical4.5.2.1.5. Real Estate4.5.2.1.6. Education & Training4.5.2.1.7. Product & Services4.5.2.1.8. Risk Management4.5.2.1.9. Other Data Types4.5.2.2. CanadaData BrokerMarket Size and Forecast, by Data Type (2023-2030)4.5.2.2.1. Unstructured Data4.5.2.2.2. Structured Data4.5.2.2.3. Custom Structure Data4.5.2.3. CanadaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)4.5.2.3.1. Subscription Paid4.5.2.3.2. Pay Per Use Paid4.5.2.3.3. Hybrid Paid Models4.5.2.4. CanadaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)4.5.2.4.1. BFSI4.5.2.4.2. Retail And FMCG4.5.2.4.3. Manufacturing4.5.2.4.4. Media4.5.2.4.5. Government Sector4.5.2.4.6. Others Sector4.5.3. Mexico4.5.3.1. MexicoData BrokerMarket Size and Forecast, by Data Category (2023-2030)4.5.3.1.1. Consumer4.5.3.1.2. Credit4.5.3.1.3. Government4.5.3.1.4. Technical4.5.3.1.5. Real Estate4.5.3.1.6. Education & Training4.5.3.1.7. Product & Services4.5.3.1.8. Risk Management4.5.3.1.9. Other Data Types4.5.3.2. MexicoData BrokerMarket Size and Forecast, by Data Type (2023-2030)4.5.3.2.1. Unstructured Data4.5.3.2.2. Structured Data4.5.3.2.3. Custom Structure Data4.5.3.3. MexicoData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)4.5.3.3.1. Subscription Paid4.5.3.3.2. Pay Per Use Paid4.5.3.3.3. Hybrid Paid Models4.5.3.4. MexicoData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)4.5.3.4.1. BFSI4.5.3.4.2. Retail And FMCG4.5.3.4.3. Manufacturing4.5.3.4.4. Media4.5.3.4.5. Government Sector4.5.3.4.6. Others Sector5. EuropeData BrokerMarket Size and Forecast by Segmentation (by Value in USD Million)2023-20305.1. EuropeData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.2. EuropeData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.3. EuropeData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.4. EuropeData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5. EuropeData BrokerMarket Size and Forecast, by Country (2023-2030)5.5.1. United Kingdom5.5.1.1. United KingdomData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.1.2. United KingdomData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.1.3. United KingdomData BrokerMarket Size and Forecast, by Pricing Model(2023-2030)5.5.1.4. United KingdomData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.2. France5.5.2.1. FranceData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.2.2. FranceData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.2.3. FranceData BrokerMarket Size and Forecast, by Pricing Model(2023-2030)5.5.2.4. FranceData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.3. Germany5.5.3.1. GermanyData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.3.2. GermanyData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.3.3. GermanyData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.5.3.4. GermanyData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.4. Italy5.5.4.1. ItalyData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.4.2. ItalyData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.4.3. ItalyData BrokerMarket Size and Forecast, by Pricing Model(2023-2030)5.5.4.4. ItalyData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.5. Spain5.5.5.1. SpainData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.5.2. SpainData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.5.3. SpainData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.5.5.4. SpainData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.6. Sweden5.5.6.1. SwedenData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.6.2. SwedenData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.6.3. SwedenData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.5.6.4. SwedenData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.7. Austria5.5.7.1. AustriaData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.7.2. AustriaData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.7.3. AustriaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.5.7.4. AustriaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)5.5.8. Rest of Europe5.5.8.1. Rest of EuropeData BrokerMarket Size and Forecast, by Data Category (2023-2030)5.5.8.2. Rest of EuropeData BrokerMarket Size and Forecast, by Data Type (2023-2030)5.5.8.3. Rest of EuropeData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)5.5.8.4. Rest of EuropeData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6. Asia PacificData BrokerMarket Size and Forecast by Segmentation (by Value in USD Million)2023-20306.1. Asia PacificData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.2. Asia PacificData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.3. Asia PacificData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.4. Asia PacificData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5. Asia PacificData BrokerMarket Size and Forecast, by Country (2023-2030)6.5.1. China6.5.1.1. ChinaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.1.2. ChinaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.1.3. ChinaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.1.4. ChinaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.2. S Korea6.5.2.1. S KoreaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.2.2. S KoreaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.2.3. S KoreaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.2.4. S KoreaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.3. Japan6.5.3.1. JapanData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.3.2. JapanData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.3.3. JapanData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.3.4. JapanData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.4. India6.5.4.1. IndiaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.4.2. IndiaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.4.3. IndiaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.4.4. IndiaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.5. Australia6.5.5.1. AustraliaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.5.2. AustraliaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.5.3. AustraliaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.5.4. AustraliaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.6. Indonesia6.5.6.1. IndonesiaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.6.2. IndonesiaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.6.3. IndonesiaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.6.4. IndonesiaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.7. Malaysia6.5.7.1. MalaysiaData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.7.2. MalaysiaData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.7.3. MalaysiaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.7.4. MalaysiaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.8. Vietnam6.5.8.1. VietnamData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.8.2. VietnamData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.8.3. VietnamData BrokerMarket Size and Forecast, by Pricing Model(2023-2030)6.5.8.4. VietnamData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.9. Taiwan6.5.9.1. TaiwanData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.9.2. TaiwanData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.9.3. TaiwanData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.9.4. TaiwanData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)6.5.10. Rest of Asia Pacific6.5.10.1. Rest of Asia PacificData BrokerMarket Size and Forecast, by Data Category (2023-2030)6.5.10.2. Rest of Asia PacificData BrokerMarket Size and Forecast, by Data Type (2023-2030)6.5.10.3. Rest of Asia PacificData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)6.5.10.4. Rest of Asia PacificData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)7. Middle East and AfricaData BrokerMarket Size and Forecast by Segmentation (by Value in USD Million)2023-20307.1. Middle East and AfricaData BrokerMarket Size and Forecast, by Data Category (2023-2030)7.2. Middle East and AfricaData BrokerMarket Size and Forecast, by Data Type (2023-2030)7.3. Middle East and AfricaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)7.4. Middle East and AfricaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)7.5. Middle East and AfricaData BrokerMarket Size and Forecast, by Country (2023-2030)7.5.1. South Africa7.5.1.1. South AfricaData BrokerMarket Size and Forecast, by Data Category (2023-2030)7.5.1.2. South AfricaData BrokerMarket Size and Forecast, by Data Type (2023-2030)7.5.1.3. South AfricaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)7.5.1.4. South AfricaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)7.5.2. GCC7.5.2.1. GCCData BrokerMarket Size and Forecast, by Data Category (2023-2030)7.5.2.2. GCCData BrokerMarket Size and Forecast, by Data Type (2023-2030)7.5.2.3. GCCData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)7.5.2.4. GCCData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)7.5.3. Nigeria7.5.3.1. NigeriaData BrokerMarket Size and Forecast, by Data Category (2023-2030)7.5.3.2. NigeriaData BrokerMarket Size and Forecast, by Data Type (2023-2030)7.5.3.3. NigeriaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)7.5.3.4. NigeriaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)7.5.4. Rest of ME&A7.5.4.1. Rest of ME&AData BrokerMarket Size and Forecast, by Data Category (2023-2030)7.5.4.2. Rest of ME&AData BrokerMarket Size and Forecast, by Data Type (2023-2030)7.5.4.3. Rest of ME&AData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)7.5.4.4. Rest of ME&AData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)8. South AmericaData BrokerMarket Size and Forecast by Segmentation (by Value in USD Million)2023-20308.1. South AmericaData BrokerMarket Size and Forecast, by Data Category (2023-2030)8.2. South AmericaData BrokerMarket Size and Forecast, by Data Type (2023-2030)8.3. South AmericaData BrokerMarket Size and Forecast, by Pricing Model(2023-2030)8.4. South AmericaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)8.5. South AmericaData BrokerMarket Size and Forecast, by Country (2023-2030)8.5.1. Brazil8.5.1.1. BrazilData BrokerMarket Size and Forecast, by Data Category (2023-2030)8.5.1.2. BrazilData BrokerMarket Size and Forecast, by Data Type (2023-2030)8.5.1.3. BrazilData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)8.5.1.4. BrazilData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)8.5.2. Argentina8.5.2.1. ArgentinaData BrokerMarket Size and Forecast, by Data Category (2023-2030)8.5.2.2. ArgentinaData BrokerMarket Size and Forecast, by Data Type (2023-2030)8.5.2.3. ArgentinaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)8.5.2.4. ArgentinaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)8.5.3. Rest Of South America8.5.3.1. Rest Of South AmericaData BrokerMarket Size and Forecast, by Data Category (2023-2030)8.5.3.2. Rest Of South AmericaData BrokerMarket Size and Forecast, by Data Type (2023-2030)8.5.3.3. Rest Of South AmericaData BrokerMarket Size and Forecast, by Pricing Model (2023-2030)8.5.3.4. Rest Of South AmericaData BrokerMarket Size and Forecast, by End Use Sector (2023-2030)9. GlobalData BrokerMarket: Competitive Landscape9.1. MMR Competition Matrix9.2. Competitive Landscape9.3. Key Players Benchmarking9.3.1. Company Name9.3.2. Business Segment9.3.3. End-user Segment9.3.4. Revenue (2023)9.3.5. Company Locations9.4. LeadingData BrokerMarket Companies, by market capitalization9.5. Market Structure9.5.1. Market Leaders9.5.2. Market Followers9.5.3. Emerging Players9.6. Mergers and Acquisitions Details10. Company Profile: Key Players10.1. Acxiom10.1.1. Company Overview10.1.2. Business Portfolio10.1.3. Financial Overview10.1.4. SWOT Analysis10.1.5. Strategic Analysis10.1.6. Scale of Operation (small, medium, and large)10.1.7. Details on Partnership10.1.8. Regulatory Accreditations and Certifications Received by Them10.1.9. Awards Received by the Firm10.1.10. Recent Developments10.2. Experian10.3. Equifax10.4. CoreLogic10.5. TransUnion10.6. Oracle10.7. Lifelock10.8. H.I.G. Capital10.9. PeekYou10.10. TowerData10.11. Alibaba10.12. Bloomberg10.13. Datasift10.14. FICO10.15. RELX10.16. Thomson Reuters10.17. Wolters Kluver10.18. Ignite Technologies10.19. HG Data10.20. IBM10.21. Morningstar10.22. Qlik10.23. IHS Markit11. Key Findings12. Industry Recommendations13.Data BrokerMarket: Research Methodology14. Terms and Glossary