Data Broker Market size was valued at USD 257.16 Bn. in 2021 and the total Data Broker revenue is expected to grow at 4.5% from 2022 to 2029, reaching nearly USD 365.71 Bn.
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 2022-2029. 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 2017 to 2020 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 2021 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 2021 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 institutionsutilize 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 2021 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.
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Data Broker Market Report Coverage Details Base Year: 2021 Forecast Period: 2022-2029 Historical Data: 2017 to 2021 Market Size in 2021: US $ 257.16 Bn. Forecast Period 2022 to 2029 CAGR: 4.5% Market Size in 2029: US $ 365.71 Bn. Segments Covered: by Data Category • Consumer • Credit • Government • Technical • Real Estate • Education & Training • Product & Services • Risk Management • Other Data Types by Data Type • Unstructured Data • Structured Data • Custom Structure Data by Pricing Model • Subscription Paid • Pay Per Use Paid • Hybrid Paid Models by End Use Sector • BFSI • Retail And FMCG • Manufacturing • Media • Government Sector • Others Sector
Data Broker Market, by Region• North America • Europe • Asia Pacific • Middle East and Africa • South America
Data Broker Market Key Players• Acxiom • Experian • Equifax • CoreLogic • TransUnion • Oracle • Lifelock • H.I.G. Capital • PeekYou • TowerData • Alibaba • Bloomberg • Datasift • FICO • RELX • Thomson Reuters • Wolters Kluver • Ignite Technologies • HG Data • IBM • Morningstar • Qlik • IHS Markit FAQs: 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 257.16 Bn. in 2021 and the total Data Broker revenue is expected to grow at 4.5% from 2022 to 2029, reaching nearly USD 365.71 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. Global Data Broker Market: Research Methodology 2. Global Data Broker Market: Executive Summary 2.1 Market Overview and Definitions 2.1.1. Introduction to Global Data Broker Market 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. Global Data Broker Market: Competitive Analysis 3.1 MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2 Consolidation in the Market 3.2.1 M&A by region 3.3 Key Developments by Companies 3.4 Market Drivers 3.5 Market Restraints 3.6 Market Opportunities 3.7 Market Challenges 3.8 Market Dynamics 3.9 PORTERS Five Forces Analysis 3.10 PESTLE 3.11 Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • South America 3.12 COVID-19 Impact 4. Global Data Broker Market Segmentation 4.1 Global Data Broker Market, by Data Category (2021-2029) • Consumer • Credit • Government • Technical • Real Estate • Education & Training • Product & Services • Risk Management • Other Data Types 4.2 Global Data Broker Market, by Data Type (2021-2029) • Unstructured Data • Structured Data • Custom Structure Data 4.3 Global Data Broker Market, by Pricing Model (2021-2029) • Subscription Paid • Pay Per Use Paid • Hybrid Paid Models 4.4 Global Data Broker Market, by End-user Sector (2021-2029) • BFSI • Retail And FMCG • Manufacturing • Media • Government Sector • Others Sector 5. North America Data Broker Market(2021-2029) 5.1 North America Data Broker Market, by Data Category (2021-2029) • Consumer • Credit • Government • Technical • Real Estate • Education & Training • Product & Services • Risk Management • Other Data Types 5.2 North America Data Broker Market, by Data Type (2021-2029) • Unstructured Data • Structured Data • Custom Structure Data 5.3 North America Data Broker Market, by Pricing Model (2021-2029) • Subscription Paid • Pay Per Use Paid • Hybrid Paid Models 5.4 North America Data Broker Market, by End-user Sector (2021-2029) • BFSI • Retail And FMCG • Manufacturing • Media • Government Sector • Others Sector 5.5 North America Data Broker Market, by Country (2021-2029) • United States • Canada • Mexico 6. Europe Data Broker Market (2021-2029) 6.1. European Data Broker Market, by Data Category (2021-2029) 6.2. European Data Broker Market, by Data Type (2021-2029) 6.3. European Data Broker Market, by Pricing Model (2021-2029) 6.4. European Data Broker Market, by End-user Sector (2021-2029) 6.5. European Data Broker Market, by Country (2021-2029) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific Data Broker Market (2021-2029) 7.1. Asia Pacific Data Broker Market, by Data Category (2021-2029) 7.2. Asia Pacific Data Broker Market, by Data Type (2021-2029) 7.3. Asia Pacific Data Broker Market, by Pricing Model (2021-2029) 7.4. Asia Pacific Data Broker Market, by End-user Sector (2021-2029) 7.5. Asia Pacific Data Broker Market, by Country (2021-2029) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. Middle East and Africa Data Broker Market (2021-2029) 8.1 Middle East and Africa Data Broker Market, by Data Category (2021-2029) 8.2. Middle East and Africa Data Broker Market, by Data Type (2021-2029) 8.3. Middle East and Africa Data Broker Market, by Pricing Model (2021-2029) 8.4. Middle East and Africa Data Broker Market, by End-user Sector (2021-2029) 8.5. Middle East and Africa Data Broker Market, by Country (2021-2029) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. South America Data Broker Market (2021-2029) 9.1. South America Data Broker Market, by Data Category (2021-2029) 9.2. South America Data Broker Market, by Data Type (2021-2029) 9.3. South America Data Broker Market, by Pricing Model (2021-2029) 9.4. South America Data Broker Market, by End-user Sector (2021-2029) 9.5. South America Data Broker Market, by Country (2021-2029) • Brazil • Argentina • Rest Of South America 10. Company Profile: Key players 10.1 Acxiom 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Global Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2 Experian 10.3 Equifax 10.4 CoreLogic 10.5 TransUnion 10.6 Oracle 10.7 Lifelock 10.8 H.I.G. Capital 10.9 PeekYou 10.10 TowerData 10.11 Alibaba 10.12 Bloomberg 10.13 Datasift 10.14 FICO 10.15 RELX 10.16 Moodyâs 10.17 Thomson Reuters 10.18 Wolters Kluver 10.19 Ignite Technologies 10.20 HG Data 10.21 IBM 10.22 Morningstar 10.23 Qlik 10.24 IHS Markit