Data Broker Market: Global Industry Analysis and Forecast (2021-2027)

Data Broker Market was worth US$ 246.09 Bn in 2020 and total revenue is expected to grow at a rate of 4.3 % CAGR from 2021 to 2027, reaching almost US$ 365.17 Bn in 2027.

Data Broker Market Overview:

A data broker is a service that collects data from various sources, processes it to enrich, cleanse, or analyse it, and then licences it to other companies. Data brokers can also license another company's data directly, or process another organization's data to offer them with enhanced results. The modern data broking technique evolved from an older one. Businesses and organisations have a long history of gathering data to aid in the targeting and acquisition of new clients through advertising. The IT sector, on the other hand, has seen a tremendous expansion in both the volume and availability of data about each and every individual. Companies can now readily collect and maintain significantly more information about their customers than was previously assumed. The report study has analysed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis. Global Data Broker Market To know about the Research Methodology :- Request Free Sample Report 2020 is considered as a base year to forecast the market from 2021 to 2027. 2020’s market size is estimated on real numbers and outputs of the key players and major players across the globe. Past five years trends are considered while forecasting the market through 2027. 2020 is a year of exception and analyzed specially with the impact of lockdown by region.

Data Broker Market Dynamics:

The growing number of social media users around the globe, coupled with the widespread usage of mobile devices, is creating massive volumes of consumer data that is associated with major for gaining competitive advantages. Customers now benefit from data brokerage because they may locate products that meet their needs at a lower cost. Companies such as AliBaba, Amazon, and other online shopping market companies display advertisements on your window based on your search. These online shopping companies give advertising companies possibilities by providing them with customer information, and then these advertising companies advertise their items either through pop-up windows while we are surfing the internet or through emails. People are now receiving jobs as a result of data brokerage, as they register their information on websites such as LinkedIn, Indeed, and others. This broker sells your information to companies, which subsequently hire you based on their needs. The increasing use of IoT across several industry verticals is resulting in the gathering of massive volumes of relevant data for businesses, which can then be leveraged to create and build new marketing strategies for gaining competitive advantages. By the end of 2020, the number of connected devices is expected to increase to 50.1 billion, up from 8.7 billion in 2012. Additionally, the availability of fast internet services is fueling the rise of IoT across industry verticals, which is favorably impacting the data broker market. The total amount of money invested in the IoT enterprise sector is increasing. According to Microsoft, one of the three corporation decision-makers has resolved to invest more in IoT adoption within their individual business in the year 2020. Increased investments and progress in the deployment of 5G technologies are also expected to increase IoT's potential.

Data Broker Market Segment Analysis:

Global Data Broker Market is segmented into Data category, Data type, Pricing model and End user. Based on Data Type, the market is sub-segmented into Structure, Unstructured and Custom structure data. The structured segment presently holds the majority of the market share. The segment is expected to grow at a CAGR of 13.9 % between 2017 and 2026. Structured data, for the most part, provides information that is well-organized and thorough. Furthermore, the data is consistent and easy to find using standard search engines. Compilation in an unstructured format is typically arduous, and information segregation may take additional time. Based on End users, the market is sub-segmented into BFSI, Retail and FMCG, Manufacturing, Media, Government Sector and Other Sectors. The increasing use of the internet and smartphones by consumers, retail has a considerable market share. Retailers are turning to data brokerage services to gain advantages like shopper marketing and retail merchandising by knowing their target demographic. Because of the high investment requirements in these industries, the automotive industry holds a substantial portion of this market, necessitating a greater demand among the key players to monitor regional and market trends in order to better plan their company strategies.

Global Data Broker MarketData Broker Market Regional Insights:

The rising retail, BFSI, and automotive industries in nations like the United States and Mexico, North America has a large market share. However, due to the recent implementation of data privacy legislation in certain U.S. states, the data broker market is expected to grow slowly throughout the forecast period. Due to the fast increasing large volume of data in the region. APAC will see a substantial CAGR during the projection period. Experian is doubling down on our commitment to consistently invent market-leading solutions for our clients and our region's communities, given the scale, variety, and pace of change in Asia Pacific. With this in mind, we established Experian X Labs, which appears to be a responsible innovation agent for APAC. Through advanced data analysis, research, and development, Experian X Labs develops solutions that assist consumers and companies solve the vital issue of financial inclusion and wider access to financing. The expanding e-commerce industry in countries like India and China is increasing demand for consumer data in order to stay ahead of the competition, boosting the APAC Data Broker market's growth. The objective of the report is to present a comprehensive analysis of the Global Data Broker market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the Global Data Broker market dynamics, structure by analyzing the market segments and project the Global Data Broker market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the global market make the report investor’s guide.

Global Data Broker Market Scope: Inquire before buying

Global Data Broker Market
Report Coverage Details
Base Year: 2020 Forecast Period: 2021-2027
Historical Data: 2016 to 2020 Market Size in 2020: US $ 246.09 Bn.
Forecast Period 2021 to 2027 CAGR: 4.3% Market Size in 2027: US $ 365.17 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 • Custom Structure Data
by Pricing Model • Subscription Paid • Pay per Use Paid • Hybrid Paid Models
by End Use Sector • BFSIs • Retail and FMCG • Manufacturing • Media • Government Sector • Others Sector

Global Data Broker Market, by Region

• North America • Europe • Asia Pacific • Middle East and Africa • South America

Global Data Broker Market key player

Experian • Equifax • Core Logic • Trans Union • Oracle • Life lock • H.I.G. Capital • PeekYou • Tower Data • Alibaba • Bloomberg • Datasift • FICO • RELX • Moody’s • Thomson Reuters • Wolters Kluver • Ignite Technologies • HG Data • IBM • Morningstar • Qlik • IHS Markit Frequently Asked Questions: 1) What was the market size of Global Data Broker Market markets in 2020? Ans - Global Data Broker Market was worth US$ 246.09 Bn in 2020. 2) What is the market segment of Global Data Broker Market markets? Ans -The market segments are based on Data category, Data type, Pricing model and End users. 3) What is forecast period consider for Global Data Broker Market? Ans -The forecast period for Global Data Broker Market is 2021 to 2027. 4) Which are the worldwide major key players covered for Global Data Broker Market report? Ans – Experian, Equifax, Core Logic, Trans Union, Oracle, Life lock, H.I.G. Capital, PeekYou, Tower Data, Alibaba, Bloomberg, Datasift, FICO, RELX, Moody’s, Thomson Reuters, Wolters Kluver, Ignite Technologies, HG Data, IBM, Morningstar, Qlik and IHS Markit 5) Which region is dominated in Global Data Broker Market? Ans -In 2020, North America region dominated the Global Data Broker Market
Global Data Broker Market  1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Data Broker Market Size, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Data Broker Market Analysis and Forecast 6.1. Data Broker Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Data Broker Market Analysis and Forecast, By End Use Sector 7.1. Introduction and Definition 7.2. Key Findings 7.3. Data Broker Market Value Share Analysis, By End Use Sector 7.4. Data Broker Market Size (US$ Bn) Forecast, By End Use Sector 7.5. Data Broker Market Analysis, By End Use Sector 7.6. Data Broker Market Attractiveness Analysis, By End Use Sector 8. Global Data Broker Market Analysis and Forecast, By Data Type 8.1. Introduction and Definition 8.2. Key Findings 8.3. Data Broker Market Value Share Analysis, By Data Type 8.4. Data Broker Market Size (US$ Bn) Forecast, By Data Type 8.5. Data Broker Market Analysis, By Data Type 8.6. Data Broker Market Attractiveness Analysis, By Data Type 9. Global Data Broker Market Analysis and Forecast, By Data Category 9.1. Introduction and Definition 9.2. Key Findings 9.3. Data Broker Market Value Share Analysis, By Data Category 9.4. Data Broker Market Size (US$ Bn) Forecast, By Data Category 9.5. Data Broker Market Analysis, By Data Category 9.6. Data Broker Market Attractiveness Analysis, By Data Category 10. Global Data Broker Market Analysis and Forecast, By Pricing Model 10.1. Introduction and Definition 10.2. Key Findings 10.3. Data Broker Market Value Share Analysis, By Pricing Model 10.4. Data Broker Market Size (US$ Bn) Forecast, By Pricing Model 10.5. Data Broker Market Analysis, By Pricing Model 10.6. Data Broker Market Attractiveness Analysis, By Region 11. Global Data Broker Market Analysis, by Region 11.1. Data Broker Market Value Share Analysis, by Region 11.2. Data Broker Market Size (US$ Bn) Forecast, by Region 11.3. Data Broker Market Attractiveness Analysis, by Region 12. North America Data Broker Market Analysis 12.1. Key Findings 12.2. North America Data Broker Market Overview 12.3. North America Data Broker Market Value Share Analysis, By End Use Sector 12.4. North America Data Broker Market Forecast, By End Use Sector 12.4.1. BFSIs 12.4.2. Retail and FMCG 12.4.3. Manufacturing 12.4.4. Media 12.4.5. Government Sector 12.4.6. Others Sector 12.5. North America Data Broker Market Value Share Analysis, By Data Type 12.6. North America Data Broker Market Forecast, By Data Type 12.6.1. Unstructured Data 12.6.2. Structured 12.6.3. Custom Structure Data 12.7. North America Data Broker Market Value Share Analysis, By Data Category 12.8. North America Data Broker Market Forecast, By Data Category 12.8.1. Consumer 12.8.2. Credit 12.8.3. Government 12.8.4. Technical 12.8.5. Real Estate 12.8.6. Education & Training 12.8.7. Product & Services 12.8.8. Risk Management 12.8.9. Other Data Types 12.9. North America Data Broker Market Value Share Analysis, By Pricing Model 12.10. North America Data Broker Market Forecast, By Pricing Model 12.10.1. Subscription Paid 12.10.2. Pay per Use Paid 12.10.3. Hybrid Paid Models 12.11. North America Data Broker Market Value Share Analysis, by Country 12.12. North America Data Broker Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America Data Broker Market Analysis, by Country 12.14. U.S. Data Broker Market Forecast, By End Use Sector 12.14.1. BFSIs 12.14.2. Retail and FMCG 12.14.3. Manufacturing 12.14.4. Media 12.14.5. Government Sector 12.14.6. Others Sector 12.15. U.S. Data Broker Market Forecast, By Data Type 12.15.1. Unstructured Data 12.15.2. Structured 12.15.3. Custom Structure Data 12.16. U.S. Data Broker Market Forecast, By Data Category 12.16.1. Consumer 12.16.2. Credit 12.16.3. Government 12.16.4. Technical 12.16.5. Real Estate 12.16.6. Education & Training 12.16.7. Product & Services 12.16.8. Risk Management 12.16.9. Other Data Types 12.17. U.S. Data Broker Market Forecast, By Pricing Model 12.17.1. Subscription Paid 12.17.2. Pay per Use Paid 12.17.3. Hybrid Paid Models 12.18. Canada Data Broker Market Forecast, By End Use Sector 12.18.1. BFSIs 12.18.2. Retail and FMCG 12.18.3. Manufacturing 12.18.4. Media 12.18.5. Government Sector 12.18.6. Others Sector 12.19. Canada Data Broker Market Forecast, By Data Type 12.19.1. Unstructured Data 12.19.2. Structured 12.19.3. Custom Structure Data 12.20. Canada Data Broker Market Forecast, By Data Category 12.20.1. Consumer 12.20.2. Credit 12.20.3. Government 12.20.4. Technical 12.20.5. Real Estate 12.20.6. Education & Training 12.20.7. Product & Services 12.20.8. Risk Management 12.20.9. Other Data Types 12.21. Canada Data Broker Market Forecast, By Pricing Model 12.21.1. Subscription Paid 12.21.2. Pay per Use Paid 12.21.3. Hybrid Paid Models 12.22. North America Data Broker Market Attractiveness Analysis 12.22.1. By End Use Sector 12.22.2. By Data Type 12.22.3. By Data Category 12.22.4. By Pricing Model 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Developments 13. Europe Data Broker Market Analysis 13.1. Key Findings 13.2. Europe Data Broker Market Overview 13.3. Europe Data Broker Market Value Share Analysis, By End Use Sector 13.4. Europe Data Broker Market Forecast, By End Use Sector 13.4.1. BFSIs 13.4.2. Retail and FMCG 13.4.3. Manufacturing 13.4.4. Media 13.4.5. Government Sector 13.4.6. Others Sector 13.5. Europe Data Broker Market Value Share Analysis, By Data Type 13.6. Europe Data Broker Market Forecast, By Data Type 13.6.1. Unstructured Data 13.6.2. Structured 13.6.3. Custom Structure Data 13.7. Europe Data Broker Market Value Share Analysis, By Data Category 13.8. Europe Data Broker Market Forecast, By Data Category 13.8.1. Consumer 13.8.2. Credit 13.8.3. Government 13.8.4. Technical 13.8.5. Real Estate 13.8.6. Education & Training 13.8.7. Product & Services 13.8.8. Risk Management 13.8.9. Other Data Types 13.9. Europe Data Broker Market Value Share Analysis, By Pricing Model 13.10. Europe Data Broker Market Forecast, By Pricing Model 13.10.1. Subscription Paid 13.10.2. Pay per Use Paid 13.10.3. Hybrid Paid Models 13.11. Europe Data Broker Market Value Share Analysis, by Country 13.12. Europe Data Broker Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe Data Broker Market Analysis, by Country 13.14. Germany Data Broker Market Forecast, By End Use Sector 13.14.1. BFSIs 13.14.2. Retail and FMCG 13.14.3. Manufacturing 13.14.4. Media 13.14.5. Government Sector 13.14.6. Others Sector 13.15. Germany Data Broker Market Forecast, By Data Type 13.15.1. Unstructured Data 13.15.2. Structured 13.15.3. Custom Structure Data 13.16. Germany Data Broker Market Forecast, By Data Category 13.16.1. Consumer 13.16.2. Credit 13.16.3. Government 13.16.4. Technical 13.16.5. Real Estate 13.16.6. Education & Training 13.16.7. Product & Services 13.16.8. Risk Management 13.16.9. Other Data Types 13.17. Germany Data Broker Market Forecast, By Pricing Model 13.17.1. Subscription Paid 13.17.2. Pay per Use Paid 13.17.3. Hybrid Paid Models 13.18. U.K. Data Broker Market Forecast, By End Use Sector 13.18.1. BFSIs 13.18.2. Retail and FMCG 13.18.3. Manufacturing 13.18.4. Media 13.18.5. Government Sector 13.18.6. Others Sector 13.19. U.K. Data Broker Market Forecast, By Data Type 13.19.1. Unstructured Data 13.19.2. Structured 13.19.3. Custom Structure Data 13.20. U.K. Data Broker Market Forecast, By Data Category 13.20.1. Consumer 13.20.2. Credit 13.20.3. Government 13.20.4. Technical 13.20.5. Real Estate 13.20.6. Education & Training 13.20.7. Product & Services 13.20.8. Risk Management 13.20.9. Other Data Types 13.21. U.K. Data Broker Market Forecast, By Pricing Model 13.21.1. Subscription Paid 13.21.2. Pay per Use Paid 13.21.3. Hybrid Paid Models 13.22. France Data Broker Market Forecast, By End Use Sector 13.22.1. BFSIs 13.22.2. Retail and FMCG 13.22.3. Manufacturing 13.22.4. Media 13.22.5. Government Sector 13.22.6. Others Sector 13.23. France Data Broker Market Forecast, By Data Type 13.23.1. Unstructured Data 13.23.2. Structured 13.23.3. Custom Structure Data 13.24. France Data Broker Market Forecast, By Data Category 13.24.1. Consumer 13.24.2. Credit 13.24.3. Government 13.24.4. Technical 13.24.5. Real Estate 13.24.6. Education & Training 13.24.7. Product & Services 13.24.8. Risk Management 13.24.9. Other Data Types 13.25. France Data Broker Market Forecast, By Pricing Model 13.25.1. Subscription Paid 13.25.2. Pay per Use Paid 13.25.3. Hybrid Paid Models 13.26. Italy Data Broker Market Forecast, By End Use Sector 13.26.1. BFSIs 13.26.2. Retail and FMCG 13.26.3. Manufacturing 13.26.4. Media 13.26.5. Government Sector 13.26.6. Others Sector 13.27. Italy Data Broker Market Forecast, By Data Type 13.27.1. Unstructured Data 13.27.2. Structured 13.27.3. Custom Structure Data 13.28. Italy Data Broker Market Forecast, By Data Category 13.28.1. Consumer 13.28.2. Credit 13.28.3. Government 13.28.4. Technical 13.28.5. Real Estate 13.28.6. Education & Training 13.28.7. Product & Services 13.28.8. Risk Management 13.28.9. Other Data Types 13.29. Italy Data Broker Market Forecast, By Pricing Model 13.29.1. Subscription Paid 13.29.2. Pay per Use Paid 13.29.3. Hybrid Paid Models 13.30. Spain Data Broker Market Forecast, By End Use Sector 13.30.1. BFSIs 13.30.2. Retail and FMCG 13.30.3. Manufacturing 13.30.4. Media 13.30.5. Government Sector 13.30.6. Others Sector 13.31. Spain Data Broker Market Forecast, By Data Type 13.31.1. Unstructured Data 13.31.2. Structured 13.31.3. Custom Structure Data 13.32. Spain Data Broker Market Forecast, By Data Category 13.32.1. Consumer 13.32.2. Credit 13.32.3. Government 13.32.4. Technical 13.32.5. Real Estate 13.32.6. Education & Training 13.32.7. Product & Services 13.32.8. Risk Management 13.32.9. Other Data Types 13.33. Spain Data Broker Market Forecast, By Pricing Model 13.33.1. Subscription Paid 13.33.2. Pay per Use Paid 13.33.3. Hybrid Paid Models 13.34. Rest of Europe Data Broker Market Forecast, By End Use Sector 13.34.1. BFSIs 13.34.2. Retail and FMCG 13.34.3. Manufacturing 13.34.4. Media 13.34.5. Government Sector 13.34.6. Others Sector 13.35. Rest of Europe Data Broker Market Forecast, By Data Type 13.35.1. Unstructured Data 13.35.2. Structured 13.35.3. Custom Structure Data 13.36. Rest of Europe Data Broker Market Forecast, By Data Category 13.36.1. Consumer 13.36.2. Credit 13.36.3. Government 13.36.4. Technical 13.36.5. Real Estate 13.36.6. Education & Training 13.36.7. Product & Services 13.36.8. Risk Management 13.36.9. Other Data Types 13.37. Rest Of Europe Data Broker Market Forecast, By Pricing Model 13.37.1. Subscription Paid 13.37.2. Pay per Use Paid 13.37.3. Hybrid Paid Models 13.38. Europe Data Broker Market Attractiveness Analysis 13.38.1. By End Use Sector 13.38.2. By Data Type 13.38.3. By Data Category 13.38.4. By Pricing Model 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Developments 14. Asia Pacific Data Broker Market Analysis 14.1. Key Findings 14.2. Asia Pacific Data Broker Market Overview 14.3. Asia Pacific Data Broker Market Value Share Analysis, By End Use Sector 14.4. Asia Pacific Data Broker Market Forecast, By End Use Sector 14.4.1. BFSIs 14.4.2. Retail and FMCG 14.4.3. Manufacturing 14.4.4. Media 14.4.5. Government Sector 14.4.6. Others Sector 14.5. Asia Pacific Data Broker Market Value Share Analysis, By Data Type 14.6. Asia Pacific Data Broker Market Forecast, By Data Type 14.6.1. Unstructured Data 14.6.2. Structured 14.6.3. Custom Structure Data 14.7. Asia Pacific Data Broker Market Value Share Analysis, By Data Category 14.8. Asia Pacific Data Broker Market Forecast, By Data Category 14.8.1. Consumer 14.8.2. Credit 14.8.3. Government 14.8.4. Technical 14.8.5. Real Estate 14.8.6. Education & Training 14.8.7. Product & Services 14.8.8. Risk Management 14.8.9. Other Data Types 14.9. Asia Pacific Data Broker Market Value Share Analysis, By Pricing Model 14.10. Asia Pacific Data Broker Market Forecast, By Pricing Model 14.10.1. Subscription Paid 14.10.2. Pay per Use Paid 14.10.3. Hybrid Paid Models 14.11. Asia Pacific Data Broker Market Value Share Analysis, by Country 14.12. Asia Pacific Data Broker Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific Data Broker Market Analysis, by Country 14.14. China Data Broker Market Forecast, By End Use Sector 14.14.1. BFSIs 14.14.2. Retail and FMCG 14.14.3. Manufacturing 14.14.4. Media 14.14.5. Government Sector 14.14.6. Others Sector 14.15. China Data Broker Market Forecast, By Data Type 14.15.1. Unstructured Data 14.15.2. Structured 14.15.3. Custom Structure Data 14.16. China Data Broker Market Forecast, By Data Category 14.16.1. Consumer 14.16.2. Credit 14.16.3. Government 14.16.4. Technical 14.16.5. Real Estate 14.16.6. Education & Training 14.16.7. Product & Services 14.16.8. Risk Management 14.16.9. Other Data Types 14.17. China Data Broker Market Forecast, By Pricing Model 14.17.1. Subscription Paid 14.17.2. Pay per Use Paid 14.17.3. Hybrid Paid Models 14.18. India Data Broker Market Forecast, By End Use Sector 14.18.1. BFSIs 14.18.2. Retail and FMCG 14.18.3. Manufacturing 14.18.4. Media 14.18.5. Government Sector 14.18.6. Others Sector 14.19. India Data Broker Market Forecast, By Data Type 14.19.1. Unstructured Data 14.19.2. Structured 14.19.3. Custom Structure Data 14.20. India Data Broker Market Forecast, By Data Category 14.20.1. Consumer 14.20.2. Credit 14.20.3. Government 14.20.4. Technical 14.20.5. Real Estate 14.20.6. Education & Training 14.20.7. Product & Services 14.20.8. Risk Management 14.20.9. Other Data Types 14.21. India Data Broker Market Forecast, By Pricing Model 14.21.1. Subscription Paid 14.21.2. Pay per Use Paid 14.21.3. Hybrid Paid Models 14.22. Japan Data Broker Market Forecast, By End Use Sector 14.22.1. BFSIs 14.22.2. Retail and FMCG 14.22.3. Manufacturing 14.22.4. Media 14.22.5. Government Sector 14.22.6. Others Sector 14.23. Japan Data Broker Market Forecast, By Data Type 14.23.1. Unstructured Data 14.23.2. Structured 14.23.3. Custom Structure Data 14.24. Japan Data Broker Market Forecast, By Data Category 14.24.1. Consumer 14.24.2. Credit 14.24.3. Government 14.24.4. Technical 14.24.5. Real Estate 14.24.6. Education & Training 14.24.7. Product & Services 14.24.8. Risk Management 14.24.9. Other Data Types 14.25. Japan Data Broker Market Forecast, By Pricing Model 14.25.1. Subscription Paid 14.25.2. Pay per Use Paid 14.25.3. Hybrid Paid Models 14.26. ASEAN Data Broker Market Forecast, By End Use Sector 14.26.1. BFSIs 14.26.2. Retail and FMCG 14.26.3. Manufacturing 14.26.4. Media 14.26.5. Government Sector 14.26.6. Others Sector 14.27. ASEAN Data Broker Market Forecast, By Data Type 14.27.1. Unstructured Data 14.27.2. Structured 14.27.3. Custom Structure Data 14.28. ASEAN Data Broker Market Forecast, By Data Category 14.28.1. Consumer 14.28.2. Credit 14.28.3. Government 14.28.4. Technical 14.28.5. Real Estate 14.28.6. Education & Training 14.28.7. Product & Services 14.28.8. Risk Management 14.28.9. Other Data Types 14.29. ASEAN Data Broker Market Forecast, By Pricing Model 14.29.1. Subscription Paid 14.29.2. Pay per Use Paid 14.29.3. Hybrid Paid Models 14.30. Rest of Asia Pacific Data Broker Market Forecast, By End Use Sector 14.30.1. BFSIs 14.30.2. Retail and FMCG 14.30.3. Manufacturing 14.30.4. Media 14.30.5. Government Sector 14.30.6. Others Sector 14.31. Rest of Asia Pacific Data Broker Market Forecast, By Data Type 14.31.1. Unstructured Data 14.31.2. Structured 14.31.3. Custom Structure Data 14.32. Rest of Asia Pacific Data Broker Market Forecast, By Data Category 14.32.1. Consumer 14.32.2. Credit 14.32.3. Government 14.32.4. Technical 14.32.5. Real Estate 14.32.6. Education & Training 14.32.7. Product & Services 14.32.8. Risk Management 14.32.9. Other Data Types 14.33. Rest of Asia Pacific Data Broker Market Forecast, By Pricing Model 14.33.1. Subscription Paid 14.33.2. Pay per Use Paid 14.33.3. Hybrid Paid Models 14.34. Asia Pacific Data Broker Market Attractiveness Analysis 14.34.1. By End Use Sector 14.34.2. By Data Type 14.34.3. By Data Category 14.34.4. By Pricing Model 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Developments 15. Middle East & Africa Data Broker Market Analysis 15.1. Key Findings 15.2. Middle East & Africa Data Broker Market Overview 15.3. Middle East & Africa Data Broker Market Value Share Analysis, By End Use Sector 15.4. Middle East & Africa Data Broker Market Forecast, By End Use Sector 15.4.1. BFSIs 15.4.2. Retail and FMCG 15.4.3. Manufacturing 15.4.4. Media 15.4.5. Government Sector 15.4.6. Others Sector 15.5. Middle East & Africa Data Broker Market Value Share Analysis, By Data Type 15.6. Middle East & Africa Data Broker Market Forecast, By Data Type 15.6.1. Unstructured Data 15.6.2. Structured 15.6.3. Custom Structure Data 15.7. Middle East & Africa Data Broker Market Value Share Analysis, By Data Category 15.8. Middle East & Africa Data Broker Market Forecast, By Data Category 15.8.1. Consumer 15.8.2. Credit 15.8.3. Government 15.8.4. Technical 15.8.5. Real Estate 15.8.6. Education & Training 15.8.7. Product & Services 15.8.8. Risk Management 15.8.9. Other Data Types 15.9. Middle East & Africa Data Broker Market Value Share Analysis, By Pricing Model 15.10. Middle East & Africa Data Broker Market Forecast, By Pricing Model 15.10.1. Subscription Paid 15.10.2. Pay per Use Paid 15.10.3. Hybrid Paid Models 15.11. Middle East & Africa Data Broker Market Value Share Analysis, by Country 15.12. Middle East & Africa Data Broker Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa Data Broker Market Analysis, by Country 15.14. GCC Data Broker Market Forecast, By End Use Sector 15.14.1. BFSIs 15.14.2. Retail and FMCG 15.14.3. Manufacturing 15.14.4. Media 15.14.5. Government Sector 15.14.6. Others Sector 15.15. GCC Data Broker Market Forecast, By Data Type 15.15.1. Unstructured Data 15.15.2. Structured 15.15.3. Custom Structure Data 15.16. GCC Data Broker Market Forecast, By Data Category 15.16.1. Consumer 15.16.2. Credit 15.16.3. Government 15.16.4. Technical 15.16.5. Real Estate 15.16.6. Education & Training 15.16.7. Product & Services 15.16.8. Risk Management 15.16.9. Other Data Types 15.17. GCC Data Broker Market Forecast, By Pricing Model 15.17.1. Subscription Paid 15.17.2. Pay per Use Paid 15.17.3. Hybrid Paid Models 15.18. South Africa Data Broker Market Forecast, By End Use Sector 15.18.1. BFSIs 15.18.2. Retail and FMCG 15.18.3. Manufacturing 15.18.4. Media 15.18.5. Government Sector 15.18.6. Others Sector 15.19. South Africa Data Broker Market Forecast, By Data Type 15.19.1. Unstructured Data 15.19.2. Structured 15.19.3. Custom Structure Data 15.20. South Africa Data Broker Market Forecast, By Data Category 15.20.1. Consumer 15.20.2. Credit 15.20.3. Government 15.20.4. Technical 15.20.5. Real Estate 15.20.6. Education & Training 15.20.7. Product & Services 15.20.8. Risk Management 15.20.9. Other Data Types 15.21. South Africa Data Broker Market Forecast, By Pricing Model 15.21.1. Subscription Paid 15.21.2. Pay per Use Paid 15.21.3. Hybrid Paid Models 15.22. Rest of Middle East & Africa Data Broker Market Forecast, By End Use Sector 15.22.1. BFSIs 15.22.2. Retail and FMCG 15.22.3. Manufacturing 15.22.4. Media 15.22.5. Government Sector 15.22.6. Others Sector 15.23. Rest of Middle East & Africa Data Broker Market Forecast, By Data Type 15.23.1. Unstructured Data 15.23.2. Structured 15.23.3. Custom Structure Data 15.24. Rest of Middle East & Africa Data Broker Market Forecast, By Data Category 15.24.1. Consumer 15.24.2. Credit 15.24.3. Government 15.24.4. Technical 15.24.5. Real Estate 15.24.6. Education & Training 15.24.7. Product & Services 15.24.8. Risk Management 15.24.9. Other Data Types 15.25. Rest of Middle East & Africa Data Broker Market Forecast, By Pricing Model 15.25.1. Subscription Paid 15.25.2. Pay per Use Paid 15.25.3. Hybrid Paid Models 15.26. Middle East & Africa Data Broker Market Attractiveness Analysis 15.26.1. By End Use Sector 15.26.2. By Data Type 15.26.3. By Data Category 15.26.4. By Pricing Model 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Developments 16. South America Data Broker Market Analysis 16.1. Key Findings 16.2. South America Data Broker Market Overview 16.3. South America Data Broker Market Value Share Analysis, By End Use Sector 16.4. South America Data Broker Market Forecast, By End Use Sector 16.4.1. BFSIs 16.4.2. Retail and FMCG 16.4.3. Manufacturing 16.4.4. Media 16.4.5. Government Sector 16.4.6. Others Sector 16.5. South America Data Broker Market Value Share Analysis, By Data Type 16.6. South America Data Broker Market Forecast, By Data Type 16.6.1. Unstructured Data 16.6.2. Structured 16.6.3. Custom Structure Data 16.7. South America Data Broker Market Value Share Analysis, By Data Category 16.8. South America Data Broker Market Forecast, By Data Category 16.8.1. Consumer 16.8.2. Credit 16.8.3. Government 16.8.4. Technical 16.8.5. Real Estate 16.8.6. Education & Training 16.8.7. Product & Services 16.8.8. Risk Management 16.8.9. Other Data Types 16.9. South America Data Broker Market Value Share Analysis, By Pricing Model 16.10. South America Data Broker Market Forecast, By Pricing Model 16.10.1. Subscription Paid 16.10.2. Pay per Use Paid 16.10.3. Hybrid Paid Models 16.11. South America Data Broker Market Value Share Analysis, by Country 16.12. South America Data Broker Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America Data Broker Market Analysis, by Country 16.14. Brazil Data Broker Market Forecast, By End Use Sector 16.14.1. BFSIs 16.14.2. Retail and FMCG 16.14.3. Manufacturing 16.14.4. Media 16.14.5. Government Sector 16.14.6. Others Sector 16.15. Brazil Data Broker Market Forecast, By Data Type 16.15.1. Unstructured Data 16.15.2. Structured 16.15.3. Custom Structure Data 16.16. Brazil Data Broker Market Forecast, By Data Category 16.16.1. Consumer 16.16.2. Credit 16.16.3. Government 16.16.4. Technical 16.16.5. Real Estate 16.16.6. Education & Training 16.16.7. Product & Services 16.16.8. Risk Management 16.16.9. Other Data Types 16.17. Brazil Data Broker Market Forecast, By Pricing Model 16.17.1. Subscription Paid 16.17.2. Pay per Use Paid 16.17.3. Hybrid Paid Models 16.18. Mexico Data Broker Market Forecast, By End Use Sector 16.18.1. BFSIs 16.18.2. Retail and FMCG 16.18.3. Manufacturing 16.18.4. Media 16.18.5. Government Sector 16.18.6. Others Sector 16.19. Mexico Data Broker Market Forecast, By Data Type 16.19.1. Unstructured Data 16.19.2. Structured 16.19.3. Custom Structure Data 16.20. Mexico Data Broker Market Forecast, By Data Category 16.20.1. Consumer 16.20.2. Credit 16.20.3. Government 16.20.4. Technical 16.20.5. Real Estate 16.20.6. Education & Training 16.20.7. Product & Services 16.20.8. Risk Management 16.20.9. Other Data Types 16.21. Mexico Data Broker Market Forecast, By Pricing Model 16.21.1. Subscription Paid 16.21.2. Pay per Use Paid 16.21.3. Hybrid Paid Models 16.22. Rest of South America Data Broker Market Forecast, By End Use Sector 16.22.1. BFSIs 16.22.2. Retail and FMCG 16.22.3. Manufacturing 16.22.4. Media 16.22.5. Government Sector 16.22.6. Others Sector 16.23. Rest of South America Data Broker Market Forecast, By Data Type 16.23.1. Unstructured Data 16.23.2. Structured 16.23.3. Custom Structure Data 16.24. Rest of South America Data Broker Market Forecast, By Data Category 16.24.1. Consumer 16.24.2. Credit 16.24.3. Government 16.24.4. Technical 16.24.5. Real Estate 16.24.6. Education & Training 16.24.7. Product & Services 16.24.8. Risk Management 16.24.9. Other Data Types 16.25. Rest of South America Data Broker Market Forecast, By Pricing Model 16.25.1. Subscription Paid 16.25.2. Pay per Use Paid 16.25.3. Hybrid Paid Models 16.26. South America Data Broker Market Attractiveness Analysis 16.26.1. By End Use Sector 16.26.2. By Data Type 16.26.3. By Data Category 16.26.4. By Pricing Model 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Developments 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Investment and Applications 17.2.3.2. M&A Key Players, Forward Integration and Backward 17.2.3.3. Integration 17.3. Company Profiles: Key Players 17.3.1. Acxiom 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Development Footprint 17.3.2. Experian 17.3.3. Equifax 17.3.4. CoreLogic 17.3.5. TransUnion 17.3.6. Oracle 17.3.7. Lifelock 17.3.8. H.I.G. Capital 17.3.9. PeekYou 17.3.10. TowerData 17.3.11. Alibaba 17.3.12. Bloomberg 17.3.13. Datasift 17.3.14. FICO 17.3.15. RELX 17.3.16. Moody’s 17.3.17. Thomson Reuters 17.3.18. Wolters Kluver 17.3.19. Ignite Technologies 17.3.20. HG Data 17.3.21. IBM 17.3.22. Morningstar 17.3.23. Qlik 17.3.24. IHS Markit 18.Primary Key Insights

About This Report

Report ID 55670
Category Information Technology & Telecommunication
Published Date April 2020
Updated Date Sept 2021
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