资料收益化的全球市场:现状分析与预测(2021年～2027年)

全球资料收益化的市场规模在预测期间(2021年～2027年)中预计将以约21％的年复合成长率成长。

全球资料收益化市场成长的主要因素有巨量资料及巨量资料分析的迅速进步，以及企业资料数量的增加。还有云端运算的普及网际网路的普及率的增加，也促进着市场成长。

本报告提供全球资料收益化市场的相关调查，提供市场洞察，市场趋势，竞争模式，企业概要等全面性资讯。

目录

第1章 市场简介

• 市场定义
• 限制
• 相关利益者
• 报告所使用的货币

第2章 调查方法或假设

• 资料收益化市场调查流程
• 资料收益化市场调查手法
• 预测方法
• 受访者简介
• 资料收益化市场调查的主要目的

第3章 市场摘要

第4章 摘要整理

第5章 资料收益化市场上COVID-19影响

第6章 资料收益化市场收益(10亿美元)(2019年～2027年)

第7章 市场洞察:各零件

• 软体
• 服务

第8章 市场洞察:各资料型

• 客户资料
• 财务资料
• 其他

第9章 市场洞察:各部署

• 云端
• 内部部署

第10章 市场洞察:各组织规模

• 大企业
• 中小企业

第11章 市场洞察:各业界

• 银行及金融服务
• 资讯通讯技术
• 教育
• 医疗
• 零售及电子商务
• 其他

第12章 市场洞察:各地区

• 北美
  • 美国
  • 加拿大
  • 其他的北美
• 欧洲
  • 德国
  • 法国
  • 西班牙
  • 英国
  • 其他的欧洲
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 其他的亚太地区
• 其他

第13章 资料收益化市场动态

• 推动市场要素
• 市场课题
• 影响分析

第14章 资料收益化市场机会

第15章 资料收益化市场趋势

第16章 相关法规

第17章 需求与供给面分析

• 需求面分析
• 供给面分析

第18章 价值链分析

第19章 竞争模式

• 波特的五力分析
  • 买主谈判力
  • 供应商谈判力
  • 竞争的激烈程度
  • 新加入厂商者的威胁
  • 替代威胁

第20章 公司概要

• SAP SE
• Microsoft Corporation
• QlikTech International AB
• TIBCO Software Inc.
• Oracle Corporation
• Sisense Inc.
• Salesforce Inc.
• Accenture PLC
• Virtusa Corp.
• Infosys Limited

第21章 免责声明

The global data monetization market is expected to register a CAGR of around 21% over the period of 2021-2027. The global data monetization market is uplifting on account of the continuously rising volume of enterprise data along with rapid advancements in big data as well as big data analytics. Moreover, the growing internet penetration rate accompanied by surging cloud computing will positively stimulate the industry landscape. Data monetization is the process of using data to increase overall revenue. Some of the best performing and fast-growing companies are embracing data monetization and making it an important part of their strategy. Companies such as Amazon, Facebook, and Google are cashing data and using it to drive the growth of trillion-dollar businesses. Inspired by their success, enterprises in all industries are scrutinizing their data to discover opportunities to create value. For instance, Amazon uses dynamic pricing and product recommendation as some of their core techniques to increase the revenue. Dynamic pricing is a pricing strategy that uses variable prices instead of fixed prices. The idea behind the dynamic pricing model is to sell the same product to different groups of people at different prices. Moreover, Amazon collects all the data about its customers such as their names, addresses, search history, payments, etc. so that it can provide a truly personalized experience using big data analytics.

SAP SE, Microsoft Corporation, QlikTech International AB, TIBCO Software Inc., Oracle Corporation, Sisense Inc., Salesforce Inc., Accenture PLC, Virtusa Corp., and Infosys Limited are some of the key players in the market. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.

Insights Presented in the Report

"Amongst organization size, large enterprises category held a prominent share in the market in 2020"

On the basis of organization size, the data monetization market is segmented into large enterprises and SMEs. Among these two, the large enterprises catered to a significant share of the market in 2020. This is due to the adoption of new and emerging technologies by large enterprises and their interest to invest in new technologies to efficiently run their businesses. It is important for enterprises to adopt data monetization to handle customer demands and manage supply chains while maintaining their business efficiency to compete in a highly competitive market.

"Amongst industry, information and communication technology category held a prominent share in the market in 2020"

Based on industry, the data monetization market is classified into banking and financial services, information and communication technology, education, healthcare, retail and e-commerce, and others. The information and communication technology industry accounted for a significant share of the global data monetization market and is expected to witness a substantial growth during the forecast period. Factors driving the growth of this segment are the advancements in communication technologies such as 4G and 5G and growing internet penetration rate. Communication companies have started investing in data monetization tools and services for getting useful insights from their customer database. With accessibility to these massive data sets, companies operating in the communication industry are emerging as one of the major adopters of data monetization.

"APAC to witness significant growth during the forecast period"

Asia-Pacific data monetization market is expected to witness a prominent CAGR during the forecast period. The growth of this market can be attributed to the growing internet penetration rate, rising adoption of data-driven decision making, and a growing number of enterprises in the region. Internet penetration rate is rising volume of data in the region which results in rising adoption of data-based solutions which is further contributing to the data monetization market. Furthermore, a large number of internet data providers in the APAC region are also supplementing the growth within the global data monetization market. Additionally, the declining price of internet data is also increasing investments in the field. According to World Bank, the percentage of population using internet in APAC was 67% in 2020 which is expected to grow at steady rate.

Reasons to buy this report:

• The study includes market sizing and forecasting analysis validated by authenticated key industry experts.

• The report presents a quick review of overall industry performance at one glance.

• The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.

• Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

• The study comprehensively covers the market across different segments.

• Deep dive regional level analysis of the industry.

Customization Options:

Global data monetization market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

• 1.1. Market Definitions
• 1.2. Limitation
• 1.3. Stakeholders
• 1.4. Currency used in Report

2 RESEARCH METHODOLOGY OR ASSUMPTION

• 2.1. Research Process of the Data Monetization Market
• 2.2. Research Methodology of the Data Monetization Market
• 2.3. Forecasting Method
• 2.4. Respondent Profile
• 2.5. Main Objective of the Data Monetization Market Study

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 DATA MONETIZATION MARKET COVID-19 IMPACT

6 DATA MONETIZATION MARKET REVENUE (USD BN), 2019-2027F

7 MARKET INSIGHTS BY COMPONENT

• 7.1. Software
• 7.2. Service

8 MARKET INSIGHTS BY DATA TYPE

• 8.1. Customer Data
• 8.2. Financial Data
• 8.3. Others

9 MARKET INSIGHTS BY DEPLOYMENT

• 9.1. Cloud
• 9.2. On-premises

10 MARKET INSIGHTS BY ORGANIZATION SIZE

• 10.1. Large Enterprises
• 10.2. SMEs

11 MARKET INSIGHTS BY INDUSTRY

• 11.1. Banking and Financial Services
• 11.2. Information and Communication Technology
• 11.3. Education
• 11.4. Healthcare
• 11.5. Retail and E-Commerce
• 11.6. Others

12 MARKET INSIGHTS BY REGION

• 12.1. North America
  • 12.1.1. US
  • 12.1.2. Canada
  • 12.1.3. Rest of North America
• 12.2. Europe
  • 12.2.1. Germany
  • 12.2.2. France
  • 12.2.3. Spain
  • 12.2.4. United Kingdom
  • 12.2.5. Rest of Europe
• 12.3. Asia-Pacific
  • 12.3.1. China
  • 12.3.2. Japan
  • 12.3.3. India
  • 12.3.4. South Korea
  • 12.3.5. Rest of Asia-Pacific
• 12.4. Rest of the World

13 DATA MONETIZATION MARKET DYNAMICS

• 13.1. Market Drivers
• 13.2. Market Challenges
• 13.3. Impact Analysis

14 DATA MONETIZATION MARKET OPPORTUNITIES

15 DATA MONETIZATION MARKET TRENDS

16 LEGAL & REGULATORY FRAMEWORK

17 DEMAND AND SUPPLY SIDE ANALYSIS

• 17.1. Demand Side Analysis
• 17.2. Supply Side Analysis

18 VALUE CHAIN ANALYSIS

19 COMPETITIVE SCENARIO

• 19.1. Porters Fiver Forces Analysis
  • 19.1.1. Bargaining Power of Buyer
  • 19.1.2. Bargaining Power of Supplier
  • 19.1.3. Intensity of Rivalry
  • 19.1.4. Threats of New Entrant
  • 19.1.5. Threat of Substitute

20 COMPANY PROFILED

• 20.1. SAP SE
• 20.2. Microsoft Corporation
• 20.3. QlikTech International AB
• 20.4. TIBCO Software Inc.
• 20.5. Oracle Corporation
• 20.6. Sisense Inc.
• 20.7. Salesforce Inc.
• 20.8. Accenture PLC
• 20.9. Virtusa Corp.
• 20.10. Infosys Limited

21 DISCLAIMER