資料貨幣化：市場佔有率分析、產業趨勢/統計、成長預測，2024-2029

預計2024年資料貨幣化市場規模為48.7億美元，預計2029年將達到149.9億美元，複合年成長率為19.98%。

隨著公司對發現資料越來越感興趣，資料貨幣化正在獲得越來越多的關注。而且，資料變現不僅需要業務和技術專家的結合，還需要時間、精力和投資，技能互補。

主要亮點

• 在當前的市場情況下，獨立軟體供應商正在轉向自助式商業智慧來增加應用程式收益並使其產品脫穎而出。同樣，自助服務 BI 可以透過提高採用率和提高營運效率來為開發應用程式的公司提高應用程式投資回報率。
• 新技術推動了資料成長，使資料呈指數級成長。這些技術包括邊緣運算、5G網路、物聯網(IoT)、人工智慧(AI)和機器學習(ML)、增強智慧和虛擬實境(AR/VR)以及區塊鏈。資料量、種類和速度的空前成長正在增加資料貨幣化的潛力。
• 例如，電子商務等新經營模式的出現正在極大地推動資料貨幣化行業的成長。這是因為電子商務網站有能力根據使用者的搜尋行為和購買模式收集大量資料。因此，電商玩家可以採用資料貨幣化解決方案來出售資料，或與品牌合作分析資料並利用它來實現各種業務目標，從而賺取額外收入。
• 與其他產業相比，醫療保健產業面臨著碎片化的資料格局，並繼續面臨監管限制、互通性課題和參與者之間不信任的課題。醫療保健業務各個方面的標準化和正規化都是一個課題，因為沒有全國通用的患者標識符，資料規範化和互通性問題給構建功能強大的資料存儲庫帶來了課題，數位化資料的利用變得困難。
• 此外，隨著消費者對個人資料使用意識的不斷增強，世界各地正在製定多項資料安全法規，例如GDPA、CCPA等。這些法律提供了嚴格的框架，以避免濫用消費者的個人資料，這可能會對所研究市場的成長產生負面影響。
• 由於 COVID-19 大流行，幾乎每個行業都經歷了客戶購買行為的波動、風險和變化。 世界各地的公司都被迫對其運營進行重大改變，例如縮小運營規模或使其產品和服務多樣化。 為了快速應對這些變化，公司正在通過人工智慧系統、敏捷風險管理和數據分析採用或利用商業智慧戰略，以幫助他們做出明智的決策，在大流行期間繼續運營。 反過來，預計這將為預測期內研究的市場創造新的商機。

資料貨幣化市場趨勢

醫療保健產業佔主要市場佔有率

• 在醫療保健行業，由於過去幾年醫療數位化的進步，資料正在迅速增加。健康記錄和電子健康記錄(EHR) 正在遷移到雲端，穿戴式裝置和智慧型裝置也變得極為普遍。數位化趨勢正在為該領域的資料貨幣化鋪平道路，有助於增強臨床服務並實現財務回報。
• 資料分析和物聯網設備的日益普及將在該領域產生更多資料。根據飛利浦進行的一項調查，截至 2022 年 2 月，新加坡接受調查的醫療保健領導者中有 92% 表示他們已經或正在其醫療保健組織中實施預測分析。因此，資料貨幣化服務的範圍將會擴大。此外，世界各地的醫療保健組織已經認知到資料是真正的企業資產，並透過分析從該資產中獲益。有競爭力的醫療保健組織正在將這些分析收益，以創造新的收益來源並提升其在價值鏈中的地位。
• 行業專家認為，去識別化患者資料的商業用途只會促進和加速醫療服務模式的創新，並透過以更低的成本改善結果來使醫療保健消費者受益。透過與數位健康企業家和研究人員共用資料存取權限，他們可以使用先進的分析技術獲得有用見解的工具，不僅可以創新護理服務，還可以創新許多其他事物。相信它可以改變遊戲規則。
• 考慮到成長潛力，醫療保健產業的市場供應商正在提供符合資料隱私法的創新資料貨幣化解決方案。例如，2022 年 10 月，醫療保健 AI 和 NLP 公司、Spark NLP 庫的開發商 John Snow Labs 宣布對其自動去識別解決方案進行改進。 John Snow Labs 透過實現大型資料集的自動去識別化，幫助世界各地的醫療保健組織創新產品並降低成本。該公司的自動化去識別識別解決方案提供資料貨幣化所需的自訂。
• 此外，在美國，14 個最大的衛生系統正在與一家新新興企業Truveta Inc. 合作，以匯集其龐大且多樣化的資料，並控制去識別化患者資料的共用和使用方式。該新興企業旨在利用患者資料來加強患者護理、加速治療方法的開發、解決健康差異並縮短診斷時間。因此，這種趨勢的擴大預計將在預測期內推動所研究市場的成長。

亞太地區可望成為快速成長的市場

• 亞太地區新技術的採用正在蓬勃發展。此外，人工智慧、物聯網和巨量資料技術的商業化以及對進一步技術進步以創造性利用這些技術的需求預計將推動該地區資料貨幣化工具和服務的採用。網路技術的不斷進步、電子商務的快速繁榮、製造業和汽車行業的成長以及強制收緊的法規也對該地區的成長產生了積極影響。
• 該地區的各種金融服務機構 (FSI)持有大量有價值的資料，可以將這些數據貨幣化以獲得可觀的收益。例如，從數據到數位化使 FSI 能夠進行數位競爭並利用數位轉型的優勢。此外，這些資產透過數據到數位轉型後可以產生大量新的收益來源。 FSI 還可以透過更好地利用資料資料分析、創建數據主導的解決方案以及建立洞察和服務平台來實現資料收益。
• 鑑於龐大的消費群以及智慧型手機和其他手持設備的不斷普及，能夠獲得有洞察力的資料的公司有可能從最近變得非常流行的行動裝置上的廣告商那裡獲得可觀的收益。資料貨幣化預計將在亞太地區由於
• 因此，資料貨幣化的潛力正在鼓勵供應商採用創新的商務策略，從資料中產生最大的價值。例如，通訊服務供應商中國聯通已使用區塊鏈創建新的資料貨幣化流。該公司的目標是與企業客戶共用資料，同時遵守安全和隱私法規，並專注於管理費用和資料儲存。

資料貨幣化產業概述

由於全球參與者和中小企業的存在，資料貨幣化市場競爭非常激烈。資料貨幣化應用於各個行業，為供應商提供成長機會，吸引新參與者進入市場並加劇他們之間的競爭。市場參與者正在採取聯盟和收購等策略來加強其產品陣容並獲得永續的競爭優勢。主要市場參與者包括 Accenture PLC、Adastra Corporation 和 Cisco Systems Inc.。

其他福利：

• Excel 格式的市場預測 (ME) 表
• 3 個月的分析師支持

目錄

第1章簡介

• 研究假設和市場定義
• 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

• 市場概況
• 產業吸引力－波特五力分析
  • 供應商的議價能力
  • 買方議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭公司之間敵對關係的強度
• 評估 COVID-19 對資料貨幣化市場的影響

第5章市場動態

• 市場促進因素
  • 快速普及進階分析和視覺化
  • 業務資料的數量和種類不斷增加
• 市場抑制因素
  • 與現有系統的互通性
  • 監管政策結構多樣
• 市場課題
  • 資料結構的複雜性和一致的資料可用性不斷增加

第6章市場區隔

• 依組織規模
  • 中小企業
  • 主要企業
• 依最終用戶產業
  • 銀行/金融服務/保險
  • 通訊/資訊技術
  • 製造業
  • 衛生保健
  • 零售
  • 其他
• 依地區
  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東/非洲

第7章 競爭形勢

• 公司簡介
  • Accenture PLC
  • Adastra Corporation
  • Cisco Systems, Inc.
  • Dawex Systems SAS
  • Emu Analytics Ltd.
  • Thales Group
  • Google LLC（Alphabet Inc.）
  • IBM Corporation
  • Infosys Limited
  • Ness Technologies Inc.
  • NetScout Systems Inc.
  • Openwave Mobility Inc.（ENEA）
  • SAP SE
  • SAS Institute Inc.

第8章投資分析

第9章 市場機會及未來趨勢

The Data Monetization Market was valued at USD 4.87 billion in 2024 and is expected to register a CAGR of 19.98%, reaching USD 14.99 billion by 2029. Data monetization is gaining traction as companies are becoming more interested in discovering the value in their otherwise underutilized or redundant data. Furthermore, monetizing data requires not just combining businesses and technical experts but also time, energy, and investment with complementary skills.

Key Highlights

• In the current market scenario, independent software vendors have turned to self-service business intelligence to increase application revenue and differentiate their offerings. Similarly, self-service BI can contribute to application ROI for enterprises developing applications by increasing adoption and improving operational efficiencies.
• The increase in data has been accelerated by emerging technologies powered by and contributing to exponential data growth. These technologies are Edge Computing, 5G networking, the Internet of Things (IoT), Artificial intelligence (AI) and machine learning (ML), Augmented and virtual reality (AR/VR), and Blockchain. Such an unprecedented increase in data volume, variety, and speed has increased the prospects of data monetization.
• For instance, the emergence of new business models such as e-commerce has significantly boosted the growth of the data monetization industry as e-commerce websites have the ability to collect vast amounts of data based on the user's search behavior and purchasing patterns. This allows e-commerce players to adopt data monetization solutions to sell the data or collaborate with brands to analyze the data and use it to fulfill various business objectives to generate additional revenue.
• Relative to other sectors, healthcare has struggled with the fragmented data landscape and still faces challenges due to regulatory constraints, interoperability challenges, and mistrust among participants. The absence of a common national patient identifier and the challenges of creating highly capable data repositories due to data normalization and interoperability issues make it challenging to harness standardized and normalized data for all aspects of healthcare operations.
• Furthermore, amid the growing consumer awareness about the use of their personal data, several data security regulations are being framed across the world, such as GDPA, CCPA, etc. As these laws offer strict frameworks to avoid any misuse of a consumer's personal data, it can have an adverse impact on the growth of the studied market.
• Because of the COVID-19 pandemic, almost every industry is experiencing volatility, risks, and changes in customers' buying behaviors. Businesses worldwide are compelled to make substantial changes to their operations, such as downsizing and product and service diversification. To address these changes quickly, companies adopted or capitalized on their business intelligence strategies through artificial intelligence systems, agile risk management, and data analytics to help make informed decisions to continue business operations amid the pandemic. This is anticipated to drive new opportunities in the studied market during the forecast period.

Data Monetization Market Trends

Healthcare Sector Holds Major Market Share of the Market

• The healthcare industry has seen an exponential increase in data due to increasing digitalization in healthcare over the past. Health records or electronic health records (EHRs) are moving to the cloud, and wearables and smart devices have become extremely commonplace. The digitalization trend has paved the way for data monetization in the sector, and it is helping enhance clinical services and realize financial benefits.
• The growing adoption of data analytics and IoT devices in the sector will further create a massive amount of data in the sector. According to a survey conducted by Philips, as of February 2022, 92% of healthcare leaders surveyed in Singapore declared they had already implemented or had been in the process of adopting predictive analytics in their healthcare organizations. Hence, this will expand the scope of data monetization services. In addition, having recognized data as a true enterprise asset, healthcare organizations worldwide reap the benefits of this asset through analytics. Highly competitive healthcare organizations move up in the value chain by monetizing these analytics to generate a new revenue stream.
• Industry experts believe that commercial usage of de-identified patient data has enormous potential as it can not only enable and accelerates innovation in care delivery models, benefitting healthcare consumers by improving outcomes at lower costs, but by sharing the data access to digital health entrepreneurs and researchers, will also allow them to use advanced analytical tools to gain useful insights that can be a game changer in driving the innovation in care delivery as well as in a variety of other things also.
• Considering the growth potential, market vendors in the healthcare sector are offering innovative data monetization solutions which are data privacy law compliant. For instance, in October 2022, John Snow Labs, the Healthcare AI and NLP company and developer of the Spark NLP library announced improvements to its automatic de-identification solution. John Snow Labs empowers product innovation and cost savings for healthcare organizations worldwide by enabling organizations to automatically de-identify large datasets. The company's automatic de-identification solution provides the custom de-identification required for data monetization.
• Furthermore, in the United States, 14 of the largest health systems created a new startup, Truveta Inc., to pool together their vast and diverse data to take back control over how their patients' de-identified data is shared and used. The startup's aim is to leverage patient data to enhance patient care, accelerate the development of treatments, address health inequity, and reduce the time to make a diagnosis. Hence, growing such trends are anticipated to drive the growth of the studied market during the forecast period.

Asia-Pacific is Expected to be the Fastest Growing Market

• The Asia-Pacific region is witnessing dynamic growth in the adoption of new technologies. Additionally, the commercialization of AI, IoT, and big data technologies and the need for further technological advancements to leverage such technologies creatively are anticipated to drive the adoption of data monetization tools and services in this region. The rising advancements in networking technologies, the rapid e-commerce boom, the growing manufacturing and automotive sectors, and increasing regulatory mandates also positively impacted regional growth.
• Various financial service institutions (FSIs) in the region have invaluable and voluminous data that can be monetized to deliver a significant return. For instance, doing data-to-digital will allow FSIs to compete digitally and leverage the benefits of digital transformation. Additionally, these assets can produce significant new revenue streams once transformed through data-to-digital. FSIs can also monetize data by using data analytics better, producing data-driven solutions, and building platforms of insights and services.
• Considering a large consumer base and growing penetration of smartphones and other handheld devices, data monetization is anticipated to witness an unprecedented growth in the Asia pacific region as enterprises with access to insightful data may generate significant revenue from mobile device advertisers which is gaining a significant traction lately.
• Hence, the potential data monetization holds is encouraging the vendors to adopt innovative business strategies to generate best value from their data. For instance, China Unicom, a telecom service provider, has used blockchain to create a new data monetization revenue stream. The company's objective is to share data with enterprise customers whilst also maintaining compliance with security and privacy regulations and keeping an eye on the overhead costs and data storage.

Data Monetization Industry Overview

The data monetization market is competitive due to the presence of both global players and small and medium-sized enterprises. As data monetization is used in various industries to provide vendors with growth opportunities, it attracts new players into the market, driving competition among the vendors. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage. Some key market players include Accenture PLC, Adastra Corporation, and Cisco Systems Inc., among others.

• June 2023 - Tata Consultancy Services (TCS), a leading IT company, launched the TCS Dexam data marketplace platform on Google Cloud. According to the company, the platform enables enterprises to democratize and monetize data by providing a continuous data exchange for enterprises and their ecosystem partners while also ensuring compliance with data consent, privacy, and security regulations.
• May 2023 - NielsenIQ, an information services company, launched NielsenIQ Activate; a software-as-a-service (SaaS) solution designed to enables retailers to accelerate revenue opportunities through comprehensive customer insights and retail media that activate shoppers with personalized promotional offers. According to the company, this SaaS tool will also allow retailers to create revenues by monetizing their retail media assets across both digital and physical channels.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

• 4.1 Market Overview
• 4.2 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.2.1 Bargaining Power of Suppliers
  • 4.2.2 Bargaining Power of Buyers
  • 4.2.3 Threat of New Entrants
  • 4.2.4 Threat of Substitutes
  • 4.2.5 Intensity of Competitive Rivalry
• 4.3 Assessment of Impact of COVID-19 on the Data Monetization Market

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Rapid Adoption of Advanced Analytics and Visualization
  • 5.1.2 Increasing Volume and Variety of Business Data
• 5.2 Market Restraints
  • 5.2.1 Interoperability With Existing Systems
  • 5.2.2 Varying Structure of Regulatory Policies
• 5.3 Market Challenge
  • 5.3.1 Increasing Complexities in Data Structures and Availability of Consistent Data

6 MARKET SEGMENTATION

• 6.1 By Organization Size
  • 6.1.1 Small and Medium-Sized Enterprises
  • 6.1.2 Large Enterprises
• 6.2 By End-user Industry
  • 6.2.1 Banking, Financial Services, and Insurance
  • 6.2.2 Telecom and Information Technology
  • 6.2.3 Manufacturing
  • 6.2.4 Healthcare
  • 6.2.5 Retail
  • 6.2.6 Other End-User Industries
• 6.3 By Geography
  • 6.3.1 North America
  • 6.3.2 Europe
  • 6.3.3 Asia-Pacific
  • 6.3.4 Latin America
  • 6.3.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

• 7.1 Company Profiles
  • 7.1.1 Accenture PLC
  • 7.1.2 Adastra Corporation
  • 7.1.3 Cisco Systems, Inc.
  • 7.1.4 Dawex Systems SAS
  • 7.1.5 Emu Analytics Ltd.
  • 7.1.6 Thales Group
  • 7.1.7 Google LLC (Alphabet Inc.)
  • 7.1.8 IBM Corporation
  • 7.1.9 Infosys Limited
  • 7.1.10 Ness Technologies Inc.
  • 7.1.11 NetScout Systems Inc.
  • 7.1.12 Openwave Mobility Inc. (ENEA)
  • 7.1.13 SAP SE
  • 7.1.14 SAS Institute Inc.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS