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市場調查報告書
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1557338

資料收益市場－2024年至2029年預測

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個工作天內

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簡介目錄

資料收益市場預計到 2024 年約為 48.41 億美元，預計到 2029 年將成長至 125.85 億美元，複合年成長率為 21.06%。

隨著全球網際網路使用量的增加，資料收益市場預計將呈現更高的成長率。此部署模型估計雲端基礎的部署將佔據更高的市場佔有率。另一方面，從公司規模來看，中型和大型公司所佔佔有率較大。最終用戶產業的媒體和娛樂產業預計將快速成長，因為它提供了大量的資料儲存。據估計，網際網路的發展將增加全球對資料分析、管治和管理的需求。同樣，各國政府對在全部區域開發更安全、更最佳化的資料環境的興趣日益濃厚，預計也將促進全球資料收益市場的成長。

資料收益是跨產業不同公司之間共用資料的過程。資料收益解決方案使組織能夠使用人工智慧來利用資料並獲得有形價值。這提供了多種好處，包括更容易的資料交換、增加的成長和活性化的市場活動。網路的快速普及增加了企業擁有的資料量，並提高了人們對資料收益潛在好處的認知。資料收益過程還可以降低組織的營運成本並增加收益。

全球網際網路使用量的增加預計將推動資料收益市場的發展。此外，人工智慧的引入預計也將推動全球資料收益市場的發展。人工智慧的引入使企業能夠利用碎片化資料並創建和開發智慧方式來將資料收益。

隨著線上業務的成長，資料收益市場預計將進一步擴大。例如，線上零售需求的增加將增加亞馬遜和eBay等各種電子商務提供者需要儲存的資料量，從而增加資料收益的使用。由於人工智慧驅動的資料收益的引入，Meta、Reddit 和 X 等各種社交媒體和網站預計也會出現更大的成長。

全球資料外洩和網路攻擊案例的增加預計將成為全球資料收益市場成長的重大挑戰。隨著全球資料外洩事件的增加，提供資料收益服務的公司需要增加投資以加強安全性並增加其服務的營運成本。

資料收益市場的促進因素：

  • 全球網路使用量增加。

全球資料收益市場成長的關鍵驅動力之一是對雲端運算的需求不斷成長。見證過去幾年網路使用量的成長，所有主要企業都已轉向線上空間。隨著資料創建的增加，對資料儲存的需求也在增加。雲端處理讓企業和員工可以使用網路連線來儲存和使用來自雲端的資料。在這種情況下，公司收集的資料將傳輸到遠端資料中心，並可透過網路隨時存取。雲端處理的興起使企業更容易與多種工具和公司協作進行資料共用和分析。

IT 和通訊業是預計透過使用資料收益而實現顯著成長的主要產業之一。透過使用人工智慧驅動的工具，通訊業可以從資料收益中受益匪淺。人工智慧驅動的工具為客戶提供附加服務，並為其他組織設計可客製化的服務。近年來，在全球市場中不斷成長的通訊業出現了巨大的發展。根據電訊（ITU）的數據，2021年全球網路用戶數約49億，2023年將增至約54億。網路使用者數量的快速成長導致了所創建的資料量的增加。

限制資料收益市場的因素：

  • 網路違規增加

資料收益市場的主要限制因素之一是由於網路攻擊和不可靠的資料儲存而導致的資料被盜和遺失的風險。由於網路攻擊案例不斷增加，全球每年都有大量資料被盜和遺失。同樣，資料遺失以及不可靠和不準確的資料收集也為全球資料收益市場的成長帶來了挑戰。

近年來，全球範圍內的網路攻擊案例不斷增加。英國 IT Governance 發布的部落格稱，僅 2023 年，全球就會發生約 82 億次資料外洩和攻擊。英國公司 DarkBeam 根據其網站上發布的資料估計，資料外洩總數約為 38 億次。同樣，美國房地產財富網路一年內約有15.23億次資料外洩。全球社群媒體網站 X（Twitter）也證實了約 2.2 億資料外洩。

隨著世界各地網路攻擊的增加，資料遺失的風險也增加。同樣，全球市場資料收益的主要挑戰之一是資料不準確和品質差的風險。不正確的資料收集程序和不可靠的資料儲存也會影響資料質量，並成為市場的限制因素。

資料收益市場的地域展望

  • 預計北美將佔據資料收益市場的主要佔有率。

北美地區是全球最大的網路用戶，也是全球最大的資料生產國，預計將在全球資料收益市場中佔據很大佔有率。美國和加拿大等國家也是世界上大多數資料持有的分析公司的所在地，例如 Meta、X (Twitter)、亞馬遜和 Reddit。

北美地區是全球人工智慧等新技術開發和引進最先進的地區之一。該地區技術的快速採用肯定會推動資料收益市場的發展，因為資料收益是為企業提供無與倫比的數位優勢的解決方案。該地區在將人工智慧和機器學習技術引入資料收益市場方面處於全球領先地位。

主要企業提供的資料收益市場產品：

  • Infosys 是一家印度跨國公司，為航太、農業、化學、醫療保健、採礦、生命科學和教育等多個行業提供產品和解決方案。該公司提供多種服務，包括區塊鏈、物聯網、數位體驗和數位工作場所服務。資料收益市場的公司提供資料收益和分析解決方案。公司提供的工具降低了營運成本並減少了營運成本。
  • Adastra 隸屬於泰雷茲集團，為企業提供資料分析解決方案。該公司為各行業提供產品和服務，包括 BFSI、汽車、醫療保健和生命科學、公共部門和製造業。該公司提供資料策略和收益解決方案，包括用於豐富、開發和驅動資料創新的綜合框架。它還提供可信任資料並透過管治框架確保品質。客自訂解決方案和資料整合提供強大的安全性。

資料收益市場的主要發展：

  • 2024年2月，跨國社群媒體平台Reddit宣布與全球科技公司Google建立資料收益授權夥伴關係關係。
  • 2023年10月，亞馬遜旗下公司Amazon Web Services在2023年國際廣播大會（IBC）上展示了新的資料收益解決方案。該公司表示，新解決方案提供了具有Databrick和Hightouch的可組合C360解決方案。 Stable Diffusion XL 還可以產生創新廣告並提供高級廣告演示。

資料收益市場細分與分析如下：

依產品類型：

  • 解決方案
  • 服務

按部署模型

  • 本地
  • 雲

按公司規模

  • 小規模
  • 中等尺寸
  • 大規模

按最終用戶產業

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

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 日本
  • 中國
  • 印度
  • 韓國
  • 印尼
  • 泰國
  • 其他

目錄

第1章 簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章資料收益市場：依產品類型

  • 介紹
  • 解決方案
  • 服務

第6章資料收益市場：依部署模型

  • 介紹
  • 本地
  • 雲

第7章資料收益市場：依公司規模

  • 介紹
  • 小的
  • 中等的
  • 大的

第8章資料收益市場：按最終用戶產業

  • 介紹
  • 零售
  • 製造業
  • 車
  • BFSI
  • 媒體和娛樂
  • 其他

第9章資料收益市場：按地區

  • 介紹
  • 北美洲
    • 按報價類型
    • 按部署模型
    • 按公司規模
    • 按最終用戶產業
    • 按國家/地區
  • 南美洲
    • 按報價類型
    • 按部署模型
    • 按公司規模
    • 按最終用戶產業
    • 按國家/地區
  • 歐洲
    • 按報價類型
    • 按部署模型
    • 按公司規模
    • 按最終用戶產業
    • 按國家/地區
  • 中東/非洲
    • 按報價類型
    • 按部署模型
    • 按公司規模
    • 按最終用戶產業
    • 按國家/地區
  • 亞太地區
    • 按報價類型
    • 按部署模型
    • 按公司規模
    • 按最終用戶產業
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • Accenture
  • First Quantum（Adastra）
  • Dawex Systems
  • Elevondata
  • EMU Analytics
  • Gemalto NV（Thales Group）
  • Infosys
  • MonetizeMore
  • IBM
  • Google
  • SAP
  • SAS AB
簡介目錄
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