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市场调查报告书
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1557338

资料收益市场－2024年至2029年预测

Data Monetization Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 152 Pages | 商品交期: 最快1-2个工作天内

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简介目录

资料收益市场预计到 2024 年约为 48.41 亿美元，预计到 2029 年将成长至 125.85 亿美元，复合年增长率为 21.06%。

随着全球互联网使用量的增加，资料收益市场预计将呈现更高的成长率。此部署模型估计云端基础的部署将占据更高的市场占有率。另一方面，从公司规模来看，中型和大型公司所占份额较大。最终用户产业的媒体和娱乐产业预计将快速成长，因为它提供了大量的资料储存。据估计，互联网的发展将增加全球对资料分析、管治和管理的需求。同样，各国政府对在全部区域开发更安全、更优化的资料环境的兴趣日益浓厚，预计也将促进全球资料收益市场的成长。

资料收益是跨产业不同公司之间共用资料的过程。资料收益解决方案使组织能够使用人工智慧来利用资料并获得有形价值。这提供了多种好处，包括更容易的资料交换、增加的成长和活性化的市场活动。网路的快速普及增加了企业拥有的资料量，并提高了人们对资料收益潜在好处的认识。资料收益过程还可以降低组织的营运成本并增加收益。

全球互联网使用量的增加预计将推动资料收益市场的发展。此外，人工智慧的引入预计也将推动全球资料收益市场的发展。人工智慧的引入使企业能够利用碎片化资料并创建和开发智慧方式来将资料收益。

随着线上业务的成长，资料收益市场预计将进一步扩大。例如，线上零售需求的增加将增加亚马逊和eBay等各种电子商务提供者需要储存的资料量，从而增加资料收益的使用。由于人工智慧驱动的资料收益的引入，Meta、Reddit 和 X 等各种社交媒体和网站预计也会出现更大的成长。

全球资料外洩和网路攻击案例的增加预计将成为全球资料收益市场成长的重大挑战。随着全球资料外洩事件的增加，提供资料收益服务的公司需要增加投资以加强安全性并增加其服务的营运成本。

资料收益市场的驱动因素：

  • 全球网路使用量增加。

全球资料收益市场成长的关键驱动力之一是对云端运算的需求不断增长。见证过去几年网路使用量的成长，所有主要企业都已转向线上空间。随着资料创建的增加，对资料储存的需求也在增加。云端处理让企业和员工可以使用网路连线来储存和使用来自云端的资料。在这种情况下，公司收集的资料将传输到远端资料中心，并可透过网路随时存取。云端处理的兴起使企业更容易与多种工具和公司协作进行资料共用和分析。

IT 和通讯业是预计透过使用资料收益而实现显着成长的主要产业之一。透过使用人工智慧驱动的工具，通讯业可以从资料收益中受益匪浅。人工智慧驱动的工具为客户提供附加服务，并为其他组织设计可客製化的服务。近年来，在全球市场中不断成长的通讯业出现了巨大的发展。根据电讯（ITU）的数据，2021年全球网路用户数约49亿，2023年将增至约54亿。网路使用者数量的快速增长导致了所创建的资料量的增加。

限制资料收益市场的因素：

  • 网路违规增加

资料收益市场的主要限制因素之一是由于网路攻击和不可靠的资料储存而导致的资料被盗和遗失的风险。由于网路攻击案例不断增加，全球每年都有大量资料被盗和遗失。同样，资料遗失以及不可靠和不准确的资料收集也为全球资料收益市场的成长带来了挑战。

近年来，全球范围内的网路攻击案例不断增加。英国 IT Governance 发布的部落格称，仅 2023 年，全球就会发生约 82 亿次资料外洩和攻击。英国公司 DarkBeam 根据其网站上发布的资料估计，资料外洩总数约为 38 亿次。同样，美国房地产财富网络一年内约有15.23亿次资料外洩。全球社群媒体网站 X（Twitter）也证实了约 2.2 亿资料外洩。

随着世界各地网路攻击的增加，资料遗失的风险也增加。同样，全球市场资料收益的主要挑战之一是资料不准确和品质差的风险。不正确的资料收集程序和不可靠的资料储存也会影响资料质量，并成为市场的限制因素。

资料收益市场的地域展望

  • 预计北美将占据资料收益市场的主要份额。

北美地区是全球最大的网路用户，也是全球最大的资料生产国，预计将在全球资料收益市场中占据很大份额。美国和加拿大等国家也是世界上大多数资料持有的分析公司的所在地，例如 Meta、X (Twitter)、亚马逊和 Reddit。

北美地区是全球人工智慧等新技术开发和引进最先进的地区之一。该地区技术的快速采用肯定会推动资料收益市场的发展，因为资料收益是为企业提供无与伦比的数位优势的解决方案。该地区在将人工智慧和机器学习技术引入资料收益市场方面处于全球领先地位。

主要企业提供的资料收益市场产品：

  • Infosys 是一家印度跨国公司，为航太、农业、化学、医疗保健、采矿、生命科学和教育等多个行业提供产品和解决方案。该公司提供多种服务，包括区块链、物联网、数位体验和数位工作场所服务。资料收益市场的公司提供资料收益和分析解决方案。公司提供的工具降低了营运成本并减少了营运成本。
  • Adastra 隶属于泰雷兹集团，为企业提供资料分析解决方案。该公司为各行业提供产品和服务，包括 BFSI、汽车、医疗保健和生命科学、公共部门和製造业。该公司提供资料策略和收益解决方案，包括用于丰富、开发和驱动资料创新的综合框架。它还提供可信任资料并透过管治框架确保品质。客自订解决方案和资料整合提供强大的安全性。

资料收益市场的主要发展：

  • 2024年2月，跨国社群媒体平台Reddit宣布与全球科技公司Google建立资料收益授权伙伴关係关係。
  • 2023年10月，亚马逊旗下公司Amazon Web Services在2023年国际广播大会（IBC）上展示了新的资料收益解决方案。该公司表示，新解决方案提供了具有Databrick和Hightouch的可组合C360解决方案。 Stable Diffusion XL 还可以产生创新广告并提供高级广告演示。

资料收益市场细分与分析如下：

依产品类型：

  • 解决方案
  • 服务

按部署模型

  • 本地
  • 云

按公司规模

  • 小规模
  • 中等尺寸
  • 大规模

按最终用户产业

  • Retail
  • Manufacturing
  • Automotive
  • BFSI
  • Media and Entertainment
  • Others

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第一章 简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章资料收益市场：依产品类型

  • 介绍
  • 解决方案
  • 服务

第六章资料收益市场：依部署模型

  • 介绍
  • 本地
  • 云

第七章资料收益市场：依公司规模

  • 介绍
  • 小的
  • 中等的
  • 大的

第八章资料收益市场：按最终用户产业

  • 介绍
  • 零售
  • 製造业
  • 车
  • BFSI
  • 媒体和娱乐
  • 其他的

第九章资料收益市场：按地区

  • 介绍
  • 北美洲
    • 按报价类型
    • 按部署模型
    • 按公司规模
    • 按最终用户产业
    • 按国家/地区
  • 南美洲
    • 按报价类型
    • 按部署模型
    • 按公司规模
    • 按最终用户产业
    • 按国家/地区
  • 欧洲
    • 按报价类型
    • 按部署模型
    • 按公司规模
    • 按最终用户产业
    • 按国家/地区
  • 中东/非洲
    • 按报价类型
    • 按部署模型
    • 按公司规模
    • 按最终用户产业
    • 按国家/地区
  • 亚太地区
    • 按报价类型
    • 按部署模型
    • 按公司规模
    • 按最终用户产业
    • 按国家/地区

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十一章 公司简介

  • Accenture
  • First Quantum（Adastra）
  • Dawex Systems
  • Elevondata
  • EMU Analytics
  • Gemalto NV（Thales Group）
  • Infosys
  • MonetizeMore
  • IBM
  • Google
  • SAP
  • SAS AB
简介目录
Product Code: KSI061612184

The data monetization market is estimated to be around US$4.841 billion in 2024 and is anticipated to grow to US$12.585 billion by 2029 at a CAGR of 21.06%.

The data monetization market is estimated to grow at a higher rate with the increase in the global usage of the internet. Under the deployment model, the cloud-based deployment is estimated to attain a higher market share. In contrast, the medium and large enterprise size in the enterprise size segments will achieve a significant share. The media and entertainment sector in the end-user industry will grow rapidly as the industry offers a higher volume of data storage. The growth of the Internet is estimated to increase the global demand for data analytics, governance, and management. Similarly, the increasing interest by the governments in developing a safer and optimal data landscape across the regions is also estimated to boost the global data monetization market growth.

Data monetization is the process through which the data is shared between different companies across industries. The data monetization solutions allow the organization to use its data, with AI, to obtain a tangible value. This offers multiple benefits, like easy data exchange, boosting growth, and increasing market activities. The rapid adoption of the internet increases the enterprise data volume and grows awareness of the potential benefits of data monetization. The data monetization process also helps the organization reduce operational costs while increasing revenue generation.

The growth of internet usage worldwide is estimated to boost the market for data monetization. Furthermore, the introduction of AI is also anticipated to boost the data monetization market around the globe. With the introduction of AI, enterprises can utilize fragmented data to create and develop intelligent ways to monetize data.

The data monetization market is expected to propel further with the growth in the online business landscape. For instance, the increase in the demand for online retail will increase the volume of data that needs to be stored by various e-commerce providers like Amazon and eBay, increasing the utilization of data monetization. The various social media and networking sites, like Meta, Reddit, and X, are also anticipated to attain greater growth with the introduction of AI-powered data monetization.

The rising global cases of data breaches and cyberattacks are forecasted to act as a major challenge to the growth of the global data monetization market. With the rising global cases of data breaches, the companies offering data monetization services have to increase their investments to boost security, increasing the operating cost of the services.

Data Monetization Market Drivers:

  • Increasing use of the internet across the globe.

One of the major drivers for the global data monetization market growth is the increase in the demand for cloud computing. All major enterprises have shifted to the online space, witnessing the growth of internet usage in the recent few years. With the rise in data creation, the demand for data storage also increased. Cloud computing allows enterprises and personnel to store and utilize data from the cloud using internet connectivity. In this, the data collected by any enterprise are transferred to a remote data center, which can be accessed at any time via the Internet. The increase in cloud computing allows enterprises to easily collaborate with multiple tools and enterprises for data sharing and analytics.

One of the major industries expected to witness major growth with the help of data monetization is the IT and telecommunications industry. The telecommunication industry can benefit a lot from data monetization using AI-powered tools. The AI-powered tools provide further services to the customers and design customizable services for other organizations. The increasing telecommunication industry in the global market has witnessed a significant boost in the recent few years. According to the International Telecommunication Union (ITU), there were about 4.9 billion internet users worldwide in 2021, which increased to about 5.4 billion in 2023. This rapid increase in the number of internet users increased the volume of data creation.

Data Monetization Market Restraints:

  • Increasing incidents of cyber breaches.

One of the major restraints to the data monetization market is the risk of data theft and loss through cyber attacks and unreliable data storage. Due to increasing cases of cyber attacks, the globe witnesses the theft and loss of huge volumes of data every year. Similarly, losing data or collecting unreliable and inaccurate data will also challenge the global data monetization market's growth.

The globe has witnessed an increase in global cyber attack cases in the recent few years. According to a blog published by the IT Governance UK, the globe witnessed about 8.2 billion data breaches and attacks in 2023 alone. According to the data published on its site, the enterprise DarkBeam of the United Kingdom observed the total data breaches accounted for the loss of about 3.8 billion data. Similarly, the Real Estate Wealth Network of the USA witnessed about 1.523 billion data leaks in the year. The global social media site X (Twitter) also observed data breaches of about 220 million records.

The risk of data loss arises with the increasing number of cyber-attacks around the globe. Similarly, one of the major challenges for data monetization in the global market is the risk of inaccurate and poor-quality data. The improper data collection procedure and unreliable data storage will also affect data quality, creating a restraint on the market.

Data Monetization Market Geographical Outlook

  • North America is anticipated to hold a significant share of the Data Monetization Market.

North America is anticipated to hold a major share of the global data monetization market, as the region is among the biggest users of the internet and among the largest creators of data worldwide. Countries like the US and Canada are also home to most of the global analytic enterprises that hold a high volume of data, like Meta, X (Twitter), Amazon, and Reddit, among many others.

The North American region is one of the biggest developers and adopters of new technologies like AI worldwide. This quick pace of technology adoption is sure to boost the market for data monetization in the region, as the solution offers an unmatched digital advantage to enterprises. The region is the global leader in introducing AI and ML-powered technology to the data monetization market.

Data Monetization Market Products Offered by Key Companies:

  • Infosys is an Indian multinational corporation that offers products and solutions to multiple industries like aerospace, agriculture, chemical, healthcare, mining, life science, and education, among others. The company offers multiple services like blockchain, IoT, digital experience, and digital workplace services, among others. Companies in the data monetization market offer data monetization and analytic solutions. The tool offered by the company offers a reduced operational cost and reduced working capital. The company also aims to increase the revenue of the enterprises with this solution.
  • Adastra is a part of the Thales Group, offering enterprises data analytics solutions. The company offers its products and services to various industries, like BFSI, automotive, healthcare & life science, public sector, and manufacturing, among others. The company offers data strategy and monetization solutions, including a comprehensive framework for enhancing data, developing, and fostering innovation. The solution also offers trustable data, which ensures quality with a governance framework. The company offers robust security with custom solutions and data integration.

Data Monetization Market Key Developments:

  • In February 2024, Reddit, a multinational social media platform, announced that it had signed a licensing partnership with Google, the global tech giant, for data monetization. The company further stated that the agreement stated that Google would train its AI model with the data available from Reddit users.
  • In October 2023, Amazon Web Services, a part of Amazon, demonstrated its new data monetization solution at the International Broadcasting Convention (IBC) 2023. The company stated that its new solution will provide composable C360 solutions, with Databrick and Hightouch. The product also offers creative Ad generation, with the use of the Stable Diffusion XL, and also offers advanced advertising demonstration.

The Data Monetization Market is segmented and analyzed as follows:

By Offering Type:

  • Solution
  • Services

By Deployment Model:

  • On-Premise
  • Cloud

By Enterprise Size:

  • Small
  • Medium
  • Large

By End-User Industry:

  • Retail
  • Manufacturing
  • Automotive
  • BFSI
  • Media and Entertainment
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. DATA MONETIZATION MARKET BY OFFERING TYPE

  • 5.1. Introduction
  • 5.2. Solution
  • 5.3. Services

6. DATA MONETIZATION MARKET BY DEPLOYMENT MODEL

  • 6.1. Introduction
  • 6.2. On-Premise
  • 6.3. Cloud

7. DATA MONETIZATION MARKET BY ENTERPRISE SIZE

  • 7.1. Introduction
  • 7.2. Small
  • 7.3. Medium
  • 7.4. Large

8. DATA MONETIZATION MARKET BY END-USER INDUSTRY

  • 8.1. Introduction
  • 8.2. Retail
  • 8.3. Manufacturing
  • 8.4. Automotive
  • 8.5. BFSI
  • 8.6. Media and Entertainment
  • 8.7. Others

9. DATA MONETIZATION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.1. North America
    • 9.1.1. By Offering Type
    • 9.1.2. By Deployment Model
    • 9.1.3. By Enterprise Size
    • 9.1.4. By End-User Industry
    • 9.1.5. By Country
      • 9.1.5.1. United States
      • 9.1.5.2. Canada
      • 9.1.5.3. Mexico
  • 9.2. South America
    • 9.2.1. By Offering Type
    • 9.2.2. By Deployment Model
    • 9.2.3. By Enterprise Size
    • 9.2.4. By End-User Industry
    • 9.2.5. By Country
      • 9.2.5.1. Brazil
      • 9.2.5.2. Argentina
      • 9.2.5.3. Others
  • 9.3. Europe
    • 9.3.1. By Offering Type
    • 9.3.2. By Deployment Model
    • 9.3.3. By Enterprise Size
    • 9.3.4. By End-User Industry
    • 9.3.5. By Country
      • 9.3.5.1. United Kingdom
      • 9.3.5.2. Germany
      • 9.3.5.3. France
      • 9.3.5.4. Italy
      • 9.3.5.5. Spain
      • 9.3.5.6. Others
  • 9.4. Middle East and Africa
    • 9.4.1. By Offering Type
    • 9.4.2. By Deployment Model
    • 9.4.3. By Enterprise Size
    • 9.4.4. By End-User Industry
    • 9.4.5. By Country
      • 9.4.5.1. Saudi Arabia
      • 9.4.5.2. UAE
      • 9.4.5.3. Israel
      • 9.4.5.4. Others
  • 9.5. Asia Pacific
    • 9.5.1. By Offering Type
    • 9.5.2. By Deployment Model
    • 9.5.3. By Enterprise Size
    • 9.5.4. By End-User Industry
    • 9.5.5. By Country
      • 9.5.5.1. Japan
      • 9.5.5.2. China
      • 9.5.5.3. India
      • 9.5.5.4. South Korea
      • 9.5.5.5. Indonesia
      • 9.5.5.6. Thailand
      • 9.5.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Accenture
  • 11.2. First Quantum (Adastra)
  • 11.3. Dawex Systems
  • 11.4. Elevondata
  • 11.5. EMU Analytics
  • 11.6. Gemalto NV (Thales Group)
  • 11.7. Infosys
  • 11.8. MonetizeMore
  • 11.9. IBM
  • 11.10. Google
  • 11.11. SAP
  • 11.12. SAS AB