封面
市场调查报告书
商品编码
1880554

资料货币化市场预测至2032年:按组件、方法、部署类型、资料类型、应用程式、最终用户和地区分類的全球分析

Data Monetization Market Forecasts to 2032 - Global Analysis By Component (Tools/Platforms and Services), Method, Deployment Type, Data Type, Application, End User and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究,预计到 2025 年,全球数据货币化市场价值将达到 52.9 亿美元,到 2032 年将达到 294.6 亿美元,在预测期内的复合年增长率为 27.8%。

数据货币化是指利用组织的数据创造经济价值。这可能包括将原始资料或处理后的资料出售给他人,或利用从资料中获得的洞察来提升内部绩效、降低成本或建立新的资料驱动型服务。这种策略将资讯转化为有价值的、可货币化的资产,将数据转化为可衡量的业务成果,例如收入、效率和策略优势。

据银行业、金融业和安全业的行业专家称,BFSI(银行、金融和保险)相关企业管理超过 3.8 Petabyte的数据。

数据驱动决策的兴起

为了优化营运和提升客户体验,各组织机构正日益将分析技术融入决策流程。预测建模和机器学习等先进工具可帮助企业挖掘潜在洞察,创造新的收入来源。企业正利用结构化和非结构化资料来提升产品创新能力和市场应对力。将即时分析整合到工作流程中,正在增强各行业的竞争优势。这种向循证策略的转变,正将数据货币化确立为关键驱动力。

数据品质和管治的不足

数据标准不一致和资讯来源分散往往会导致洞察不可靠,并阻碍数据变现。许多组织仍在苦苦应对缺乏适当整合和监管的旧有系统。缺乏清晰的管治框架会增加合规性、隐私和资料伦理使用的风险。资料清洗、检验和管理的高成本进一步减缓了资料的普及。这些挑战共同限制了市场成长速度,并限制了资料变现倡议的扩充性。

扩大先进技术的应用

人工智慧 (AI)、区块链和云端运算正在推动安全、扩充性且创新的数据驱动解决方案。 AI 平台正在推动各行业的个人化、诈欺侦测和营运效率提升。区块链正被探索作为一种透明的资料交换和安全交易方式。云端生态系支援灵活的部署模式,并使分析能力的存取更加普及。这些技术共同为企业最大限度地发挥其数据资产价值铺平了道路。

快速变化且日益严格的法规

世界各国政府都在收紧隐私、使用者许可和跨境资料流动方面的合规要求。频繁的监管变化加剧了不确定性,并推高了企业的营运成本。违规的风险包括巨额罚款、声誉受损和市场进入限制。企业被迫在合规机制、法律专业知识和监控系统方面投入大量资金。这种不断变化的监管环境为永续的数据货币化带来了挑战。

新冠疫情的影响

疫情加速了数位转型,并重塑了数据货币化的轨迹。远距办公和线上商务在各行各业产生了前所未有的海量数据。各组织优先考虑数据分析,以因应供应链中断、客户参与和进行风险评估。医疗保健和金融服务业对即时洞察的需求激增,以应对紧迫的挑战。同时,预算限制和计划延期减缓了某些领域的应用速度。

预计在预测期内,工具和平台细分市场将占据最大的市场份额。

预计在预测期内,工具和平台细分市场将占据最大的市场份额,因为它们构成了资料整合、分析和货币化工作流程的基础。企业正在投资可扩展的平台,以整合资料来源并提供可执行的洞察。关键发展趋势包括人工智慧驱动的仪表板、自助式分析和云端原生架构。这些平台的多功能性对于希望将多样化资料集货币化的行业至关重要。它们在实现端到端资料价值创造方面发挥的核心作用,很可能确保它们占据最大的市场份额。

预计在预测期内,通讯和IT产业将实现最高的复合年增长率。

预计在预测期内,通讯和IT产业将实现最高成长率,因为来自行动装置、物联网和云端服务的数据流量不断增长,推动了对商业化战略的需求。通讯业者正在利用用户资料提供个人化服务并优化网路效能。 IT公司正在将资料变现功能融入数位平台、网路安全和企业解决方案中。一个新兴趋势是与金融科技、电子商务和媒体公司合作,以拓展数据驱动的收入来源。

比最大的地区

预计亚太地区将在预测期内占据最大的市场份额。数位化快速普及、都市化加速以及政府主导的各项措施正在推动成长。中国、印度和日本等国家正大力投资巨量资料基础设施和分析技术。该地区的企业正在采用云端生态系和人工智慧驱动的平台,以有效地将资料变现。电子商务、金融科技和智慧城市计划的兴起进一步刺激了市场需求。

年复合成长率最高的地区

预计北美地区在预测期内将实现最高的复合年增长率,这得益于该地区先进的技术基础设施和强大的创新支援型法规结构。企业正在迅速采用人工智慧、区块链和云端解决方案来实现数据资产的货币化。关键发展趋势包括个人化订阅模式、跨产业合作和创业投资。对数据驱动的客户参与和营运效率的日益重视正在加速这些技术的普及应用。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球数据货币化市场(按组件划分)

  • 介绍
  • 工具/平台
  • 服务
    • 咨询
    • 整合和部署
    • 支援与维护

第六章:全球数据货币化市场方法论

  • 介绍
  • 具备分析功能的平台即服务 (PaaS)
  • Data-as-a-Service (DaaS)
  • 嵌入式分析
  • 资料整合与处理

7. 全球资料货币化市场依实施类型划分

  • 介绍
  • 本地部署

第八章:全球资料货币化市场(按资料类型划分)

  • 介绍
  • 客户数据
  • 财务数据
  • 营运数据
  • 外部/第三方数据

9. 全球资料货币化市场(按应用领域划分)

  • 介绍
  • 销售和行销优化
  • 产品创新与开发
  • 供应链营运
  • 提升客户体验
  • 风险管理与合规
  • 其他的

第十章:全球资料货币化市场(以最终用户划分)

  • 介绍
  • 通信/IT
  • 政府和公共部门
  • 银行、金融服务和保险(BFSI)
  • 能源与公共产业
  • 零售与电子商务
  • 媒体与娱乐
  • 医疗保健和生命科学
  • 製造业

第十一章:全球数据货币化市场(按地区划分)

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章:企业概况

  • IBM
  • NetApp
  • Microsoft
  • Teradata
  • Oracle
  • OpenText
  • SAP
  • SAS Institute
  • Salesforce
  • Cisco Systems
  • Google
  • Capgemini
  • Amazon Web Services(AWS)
  • Infosys
  • Accenture
Product Code: SMRC32573

According to Stratistics MRC, the Global Data Monetization Market is accounted for $5.29 billion in 2025 and is expected to reach $29.46 billion by 2032 growing at a CAGR of 27.8% during the forecast period. Data monetization means using an organization's data to create financial value. This may involve selling raw or processed data to others or leveraging insights from data to boost internal performance, reduce costs, or build new data-driven services. The strategy transforms data into measurable business outcomes such as revenue, efficiency, or strategic advantage by converting information into a valuable, monetizable asset.

According to industry experts in banking and financial security companies, BFSI organizations manage over 3.8 petabytes of data.

Market Dynamics:

Driver:

Rise of data-driven decision-making

Organizations are increasingly embedding analytics into decision-making to optimize operations and enhance customer experiences. Advanced tools such as predictive modeling and machine learning are enabling businesses to uncover hidden insights and generate new revenue streams. Enterprises are leveraging structured and unstructured data to improve product innovation and market responsiveness. The integration of real-time analytics into workflows is strengthening competitive advantage across industries. This shift toward evidence-based strategies is establishing data monetization as a critical growth driver.

Restraint:

Lack of data quality and governance

Inconsistent data standards and fragmented sources often lead to unreliable insights and hinder monetization efforts. Many organizations struggle with legacy systems that lack proper integration and oversight. The absence of clear governance frameworks increases risks related to compliance, privacy, and ethical use of data. High costs associated with cleansing, validation, and management further slow down implementation. These challenges collectively restrain the pace of market growth and limit the scalability of monetization initiatives.

Opportunity:

Increased adoption of advanced technologies

Artificial intelligence, blockchain, and cloud computing are enabling secure, scalable, and innovative data-driven solutions. AI-powered platforms are enhancing personalization, fraud detection, and operational efficiency across industries. Blockchain is being explored for transparent data exchanges and secure transactions. Cloud ecosystems are supporting flexible deployment models and democratizing access to analytics capabilities. Together, these technologies are opening pathways for organizations to maximize the value of their data assets.

Threat:

Rapidly evolving and stricter regulations

Governments are introducing stricter compliance requirements around privacy, consent, and cross-border data flows. Frequent regulatory changes increase uncertainty and raise operational costs for businesses. Non-compliance risks include heavy penalties, reputational damage, and restricted market access. Companies must invest heavily in compliance frameworks, legal expertise, and monitoring systems. This evolving regulatory landscape creates a challenging environment for sustainable data monetization.

Covid-19 Impact:

The pandemic accelerated digital transformation, reshaping the trajectory of data monetization. Remote work and online commerce generated unprecedented volumes of data across industries. Organizations prioritized analytics to manage supply chain disruptions, customer engagement, and risk assessment. Healthcare and financial services saw heightened demand for real-time insights to address urgent challenges. At the same time, budget constraints and delayed projects slowed adoption in certain sectors.

The tools/platforms segment is expected to be the largest during the forecast period

The tools/platforms segment is expected to account for the largest market share during the forecast period, due to these solutions serve as the backbone for data integration, analytics, and monetization workflows. Enterprises are investing in scalable platforms that unify data sources and provide actionable insights. Key developments include AI-driven dashboards, self-service analytics, and cloud-native architectures. The versatility of these platforms makes them essential for industries seeking to monetize diverse datasets. Their central role in enabling end-to-end data value creation ensures they hold the largest market share.

The telecom & IT segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the telecom & IT segment is predicted to witness the highest growth rate, due to rising data traffic from mobile devices, IoT, and cloud services is driving demand for monetization strategies. Telecom operators are leveraging subscriber data to create personalized offerings and optimize network performance. IT companies are embedding monetization into digital platforms, cybersecurity, and enterprise solutions. Emerging trends include partnerships with fintech, e-commerce, and media firms to expand data-driven revenue streams.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share. Strong digital adoption, rapid urbanization, and government-backed initiatives are fueling growth. Countries such as China, India, and Japan are investing heavily in big data infrastructure and analytics. Regional enterprises are embracing cloud ecosystems and AI-driven platforms to monetize data effectively. The rise of e-commerce, fintech, and smart city projects further amplifies demand.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to the region benefits from advanced technological infrastructure and strong regulatory frameworks supporting innovation. Enterprises are rapidly adopting AI, blockchain, and cloud solutions to monetize data assets. Key developments include personalized subscription models, cross-industry collaborations, and venture capital investments. The growing emphasis on data-driven customer engagement and operational efficiency is accelerating adoption.

Key players in the market

Some of the key players in Data Monetization Market include IBM, NetApp, Microsoft, Teradata, Oracle, OpenText, SAP, SAS Institute, Salesforce, Cisco Systems, Google, Capgemini, Amazon Web Services, Infosys, and Accenture.

Key Developments:

In November 2025, IBM and UFC, the world's premier mixed martial arts organization, announced the next phase of their technological evolution with the launch of In-Fight Insights, an AI-driven live alert platform that monitors and reports in real time when notable milestones, streaks and records occur during UFC events.

In October 2025, Accenture has acquired Decho, a UK-based technology and AI consultancy that helps organizations reinvent through the design, delivery and scaling of Palantir solutions. The acquisition further strengthens Accenture's strategic advisory and advanced engineering capabilities for Palantir solutions for clients across the health, government, defense and commercial sectors in the UK and beyond.

Components Covered:

  • Tools/Platforms
  • Services

Methods Covered:

  • Analytics-enabled Platform-as-a-Service (PaaS)
  • Data-as-a-Service (DaaS)
  • Embedded Analytics
  • Data Integration & Processing

Deployment Types Covered:

  • On-Premises
  • Cloud

Data Types Covered:

  • Customer Data
  • Financial Data
  • Operational Data
  • External/Third-Party Data

Applications Covered:

  • Sales & Marketing Optimization
  • Product Innovation & Development
  • Supply Chain & Operations
  • Customer Experience Enhancement
  • Risk Management & Compliance
  • Other Applications

End Users Covered:

  • Telecom & IT
  • Government & Public Sector
  • Banking, Financial Services & Insurance (BFSI)
  • Energy & Utilities
  • Retail & E-Commerce
  • Media & Entertainment
  • Healthcare & Life Sciences
  • Manufacturing

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Monetization Market, By Component

  • 5.1 Introduction
  • 5.2 Tools/Platforms
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Deployment
    • 5.3.3 Support & Maintenance

6 Global Data Monetization Market, By Method

  • 6.1 Introduction
  • 6.2 Analytics-enabled Platform-as-a-Service (PaaS)
  • 6.3 Data-as-a-Service (DaaS)
  • 6.4 Embedded Analytics
  • 6.5 Data Integration & Processing

7 Global Data Monetization Market, By Deployment Type

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud

8 Global Data Monetization Market, By Data Type

  • 8.1 Introduction
  • 8.2 Customer Data
  • 8.3 Financial Data
  • 8.4 Operational Data
  • 8.5 External/Third-Party Data

9 Global Data Monetization Market, By Application

  • 9.1 Introduction
  • 9.2 Sales & Marketing Optimization
  • 9.3 Product Innovation & Development
  • 9.4 Supply Chain & Operations
  • 9.5 Customer Experience Enhancement
  • 9.6 Risk Management & Compliance
  • 9.7 Other Applications

10 Global Data Monetization Market, By End User

  • 10.1 Introduction
  • 10.2 Telecom & IT
  • 10.3 Government & Public Sector
  • 10.4 Banking, Financial Services & Insurance (BFSI)
  • 10.5 Energy & Utilities
  • 10.6 Retail & E-Commerce
  • 10.7 Media & Entertainment
  • 10.8 Healthcare & Life Sciences
  • 10.9 Manufacturing

11 Global Data Monetization Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM
  • 13.2 NetApp
  • 13.3 Microsoft
  • 13.4 Teradata
  • 13.5 Oracle
  • 13.6 OpenText
  • 13.7 SAP
  • 13.8 SAS Institute
  • 13.9 Salesforce
  • 13.10 Cisco Systems
  • 13.11 Google
  • 13.12 Capgemini
  • 13.13 Amazon Web Services (AWS)
  • 13.14 Infosys
  • 13.15 Accenture

List of Tables

  • Table 1 Global Data Monetization Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Monetization Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data Monetization Market Outlook, By Tools/Platforms (2024-2032) ($MN)
  • Table 4 Global Data Monetization Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Data Monetization Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 6 Global Data Monetization Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 7 Global Data Monetization Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 8 Global Data Monetization Market Outlook, By Method (2024-2032) ($MN)
  • Table 9 Global Data Monetization Market Outlook, By Analytics-enabled Platform-as-a-Service (PaaS) (2024-2032) ($MN)
  • Table 10 Global Data Monetization Market Outlook, By Data-as-a-Service (DaaS) (2024-2032) ($MN)
  • Table 11 Global Data Monetization Market Outlook, By Embedded Analytics (2024-2032) ($MN)
  • Table 12 Global Data Monetization Market Outlook, By Data Integration & Processing (2024-2032) ($MN)
  • Table 13 Global Data Monetization Market Outlook, By Deployment Type (2024-2032) ($MN)
  • Table 14 Global Data Monetization Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 15 Global Data Monetization Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 16 Global Data Monetization Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 17 Global Data Monetization Market Outlook, By Customer Data (2024-2032) ($MN)
  • Table 18 Global Data Monetization Market Outlook, By Financial Data (2024-2032) ($MN)
  • Table 19 Global Data Monetization Market Outlook, By Operational Data (2024-2032) ($MN)
  • Table 20 Global Data Monetization Market Outlook, By External/Third-Party Data (2024-2032) ($MN)
  • Table 21 Global Data Monetization Market Outlook, By Application (2024-2032) ($MN)
  • Table 22 Global Data Monetization Market Outlook, By Sales & Marketing Optimization (2024-2032) ($MN)
  • Table 23 Global Data Monetization Market Outlook, By Product Innovation & Development (2024-2032) ($MN)
  • Table 24 Global Data Monetization Market Outlook, By Supply Chain & Operations (2024-2032) ($MN)
  • Table 25 Global Data Monetization Market Outlook, By Customer Experience Enhancement (2024-2032) ($MN)
  • Table 26 Global Data Monetization Market Outlook, By Risk Management & Compliance (2024-2032) ($MN)
  • Table 27 Global Data Monetization Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 28 Global Data Monetization Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Data Monetization Market Outlook, By Telecom & IT (2024-2032) ($MN)
  • Table 30 Global Data Monetization Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 31 Global Data Monetization Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 32 Global Data Monetization Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 33 Global Data Monetization Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 34 Global Data Monetization Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 35 Global Data Monetization Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 36 Global Data Monetization Market Outlook, By Manufacturing (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.