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資料收益化

市場調查報告書

商品編碼

1690767

資料收益：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

Data Monetization - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年03月18日 | 出版商:

Mordor Intelligence | 英文 138 Pages | 商品交期: 2-3個工作天內

價格

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簡介目錄

資料收益市場規模預估預估2025年為50億美元，預估至2030年將達124.1億美元，預測期間（2025-2030年）複合年成長率為19.94%。

B2B環境中資料在商業決策和策略發展中的重要性日益增加，正在推動市場需求。這也是由商業環境中數位設備和系統的整合而產生的資料、網際網路使用量成長而導致的消費者資料量的增加以及市場中資料分析工具的出現所推動的，為市場成長和全球生成的資料的收益創造了機會。

主要亮點

資料商業化戰略依賴更傳統的分析技術，並且難以有效地處理非結構化資料。然而，透過雲端平台更容易存取大規模運算資源，以及一些由人工智慧/機器學習驅動的分析引擎的商品化，正在創造以更實惠的價格獲得價值和投資收益的機會，這將推動未來市場的成長。隨著技術的進步，獨立軟體供應商正在轉向自助式商業智慧，以增加應用程式收益並使其產品與眾不同。
同樣，對於開發應用程式的公司來說，自助式 BI 可以透過提高採用率和改善業務效率來提高這些應用程式的投資報酬率。這表明資料收益解決方案市場具有成長潛力。
資料商業化戰略的廣泛而新穎的應用可以使企業創造新的收益來源。這可以透過將資料直接出售給第三方、開發資料主導的產品和服務或使用資料增強現有服務來實現。預計這將加速未來幾年所有終端用戶群體採用資料收益解決方案。
隨著越來越多的線上業務（例如網路銀行和電子商務公司）的擴張，他們可能會採用資料收益解決方案來分析客戶的購買模式和偏好並個人化產品推薦。預計這將提高銷售額和客戶滿意度，從而推動預測期內的市場成長。
全球網路用戶數量的不斷增加以及企業中連網型設備和基於軟體的解決方案的成長有助於跨各個終端用戶群體生成客戶資料，為市場成長創造機會。例如，2023年11月，通訊報告稱，全球網路用戶數已達54億。這種成長可能會支持線上資料生成並在預測期內推動市場成長。
資料收益計劃的擔憂包括向外部方洩露資料的隱私和法律影響。因此，使用者應該仔細考慮從客戶處獲得的資料的權利和所有權。根據您所在的地區、行業以及在獲取資料時簽署的具體客戶協議，這些監管政策可能需要大量資源和專業知識。這對尋求將資料收益的組織來說是一個挑戰。

資料收益市場的趨勢

大公司佔大部分市場佔有率

數位轉型趨勢正在塑造商業格局。大型企業正在加緊推進其雲端遷移計劃，並面臨新的挑戰，包括客戶期望的提高、業務量的增加以及服務交付模式的改變。
這就是為什麼許多大型企業都向高速雲端服務供應商尋求資料即服務 (DaaS) 解決方案的原因。大多數都在致力於透過 DaaS產生收入。資料驅動的收益業務將實現自動化，從而提高生產力。
在美國，亞馬遜、Facebook 和Google等公司正在利用資料收益來幫助其業務成長。因此，各行各業的組織都在利用資料尋找為業務成長創造價值的機會。
根據美國銀行公司預測，到2024年，數位廣告在美國廣告支出中的佔比預計將達到74%，高於2023年的69%。谷歌、Meta和亞馬遜等科技巨頭可能會繼續主導美國線上廣告產業。近年來，Expedia、Booking、eBay、Airbnb等美國公司一直投入巨額收益用於銷售和行銷。預計這一趨勢將在預測期內持續下去。
大型企業可望設計可重構架構，廣泛支援資料重用，以增加其資料收益解決方案的嵌入價值。這使我們能夠滿足嚴格的技術需求，例如高效能處理、進階資料整合和可擴展性。

北美佔據主要市場佔有率

隨著企業和消費者產生的資料量不斷增加，北美資料收益市場正經歷強勁成長。公司正在尋找新方法從這些資料中提取價值，從而推動創新資料商業化戰略和技術的發展。採用先進的分析和人工智慧使企業能夠從資料中獲得可操作的見解，從而進一步推動市場成長。
此外，該地區率先採用和實施了高級分析解決方案和實踐的創新方法，包括巨量資料、機器學習、資訊科學和高效能運算。該地區有實力雄厚的供應商，為市場的成長做出了貢獻。其中包括 Google Inc.、思科系統公司、Adastra Corporation（加拿大）、Domo 和 Sisense Inc.
2023 年 6 月，思科宣布推出思科可觀察性平台。它是一個開放、可擴展、API 驅動的全端可觀察性 (FSO) 平台，建立在 OpenTelemetry 之上，並基於指標、事件、日誌和追蹤 (MELT)。他將推動思科的全端可觀察性策略，提供 AI/ML主導的分析和新的可觀察性生態系統，以提供相關且有影響力的業務洞察。透過集中資料、分析、操作和實踐，可觀察性可以成為減少團隊摩擦的關鍵方法。
數位設備和技術的普及極大地增加了企業和消費者產生的資料量，創造了更多的收益機會。根據Cisco預測，到 2023 年，北美地區人均設備和連線數量將達到 13.4 個，明顯高於其他任何地區。
此外，企業越來越認知到資料作為策略資產的價值。我們正在探索透過各種方式將資料收益，包括出售資料、提供資料主導的服務以及將其用於定向廣告。此外，隨著企業尋求合規的方式將其資料資產收益，歐洲的 GDPR 和加州的 CCPA 等法律規範正在提高人們對資料隱私和安全的認知。

資料收益行業概覽

由於中小企業和全球性公司的存在，資料收益市場競爭激烈。各個行業都在應用資料收益來為供應商提供成長機會、吸引新參與者進入市場並增強供應商之間的競爭。市場參與者正在採取聯盟和收購等策略來加強其產品供應並獲得永續的競爭優勢。主要市場參與者包括埃森哲公司 (Accenture PLC)、Adastra 公司、思科系統公司 (Cisco Inc.)、Dawex Systems SAS 和 Emu Analytics 公司。

2024年5月，Accenture與Oracle將合作投資尖端生成式人工智慧解決方案、工具和培訓資源。這些策略投資旨在使組織能夠充分發揮資料的潛力，推動前所未有的成長，並培養持續創新的文化。Accenture和Oracle將結合各自的專業知識，幫助各行各業的客戶透過大規模採用生成式人工智慧重塑業務。
2024 年 2 月，Dawex、施耐德電機、法雷奧、CEA 和 Prosyst 共同創立了 Data4Industry-X，這是一種面向工業領域的可靠資料交換解決方案。 Data4Industry-X主要關注汽車和發電行業，致力於提高在不同國家營運的知名跨國工業公司的競爭力並最大限度地減少對環境的影響。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

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章市場機會與未來趨勢

簡介目錄

Product Code: 71513

The Data Monetization Market size is estimated at USD 5.00 billion in 2025, and is expected to reach USD 12.41 billion by 2030, at a CAGR of 19.94% during the forecast period (2025-2030).

The increasing importance of data in business decisions and strategy development in the B2B environment is driving the demand for the market. This is also supported by the integration of digital devices and systems in the business environment to generate data, the growth of internet usage to increase consumer data volume, and the emergence of data analytics tools in the market, creating an opportunity for the market's growth and to monetize the generated data worldwide.

Key Highlights

Data monetization strategies relied on more traditional analytical techniques and struggled to deal effectively with unstructured data. However, easier access to significant computing resources via cloud platforms and the commoditization of some AI/machine learning-powered analysis engines are creating more affordable opportunities to extract both values and return on investment, which would drive the market's future growth. Independent software vendors have turned to self-service business intelligence to increase application revenue and differentiate their offerings in line with technological advancement.
Similarly, self-service BI can contribute to application ROI for enterprises developing applications by increasing adoption and improving operational efficiencies. This shows the potential of the market's growth in data monetization solutions.
The broad and emerging applications of data monetization strategies enable businesses to generate new revenue streams. This can be achieved through selling data directly to third parties, creating data-driven products or services, or using data to enhance existing offerings. This is expected to fuel the adoption of data monetization solutions across all end-user segments in the future.
As online businesses expand, including expanding online banking and e-commerce companies, they may implement data monetization solutions to analyze customer purchasing patterns and preferences and personalize product recommendations. This is expected to increase sales and customer satisfaction, driving the market's growth during the forecast period.
The increasing number of internet users worldwide, in line with the growth of connected devices and software-based solutions in businesses, is supporting the generation of customer data in various end-user segments, creating an opportunity for the market's growth. For instance, in November 2023, the International Telecommunication Union reported that internet users reached 5,400 million worldwide. This growth may support online data generation and fuel the market's growth during the forecast period.
The privacy and legal implications of releasing data to outside entities are the primary concerns with data monetization projects. Therefore, users must carefully review their rights and ownership of the data they may have acquired from their customers. Depending on the geography, the industry, and the specific customer contracts signed at the moment of data acquisition, these regulatory policies may require considerable resources and expertise. This presents challenges for organizations seeking to monetize their datasets.

Data Monetization Market Trends

Large Enterprises to Hold Major Market Share

The growing trends of digital transformation are shaping the business landscape. Large enterprises are ramping up their plans for cloud migration and confronting new challenges, including higher customer expectations, business volume growth, and service delivery model changes.
Thus, many large enterprises are adopting Data as a Service (DaaS) solutions from high-speed cloud service providers. Most are engaged in revenue generation from DaaS. Data-based monetization tasks are set to become automated and offer higher productivity.
In the United States, companies like Amazon, Facebook, and Google have monetized and used their data to fuel the growth of their business. As a result, organizations across all industries increasingly look at their data to uncover opportunities to create value for their business growth.
According to the Bank of America Corporation, digital advertising is expected to reach 74% of US ad spending in 2024, up from 69% in 2023. Tech giants like Google, Meta, and Amazon will continue to have a significant share of the US online advertising industry. In recent years, companies in the United States, such as Expedia, Booking, eBay, and Airbnb, have allocated significant revenues to their sales and marketing. They are anticipated to continue doing so during the forecast period.
Large enterprises are expected to design reconfigurable architectures that support extensive data reuse to enhance the embedded value of data monetization solutions. This helps them meet aggressive technical demands such as high-performance processing, advanced data integration, and scalability.

North America Holds Significant Market Share

The North American data monetization market has been experiencing significant growth, driven by increasing volumes of data generated by businesses and consumers. Companies are finding new ways to extract value from this data, leading to the development of innovative data monetization strategies and technologies. Adopting advanced analytics and artificial intelligence has enabled organizations to derive actionable insights from their data, further fueling the market's growth.
Furthermore, the region is an early adopter and host to innovative initiatives for advanced analytics solutions and practices, such as big data, machine learning, information science, and high-performance computing. It has a strong foothold of vendors, contributing to the market's growth. Some include Google Inc., Cisco Systems Inc., Adastra Corporation (Canada), Domo, and Sisense Inc.
In June 2023, Cisco announced the Cisco Observability Platform, an open and extensible, API-driven Full-Stack Observability (FSO) platform built on OpenTelemetry and anchored on metrics, events, logs, and traces (MELT). Advancing Cisco's Full-Stack Observability strategy, it provides AI/ML-driven analytics and a new observability ecosystem, delivering relevant and impactful business insights. Observability can become the primary way to reduce team friction by unifying data, analysis, actions, and practices.
The proliferation of digital devices and technologies has led to a massive increase in the volume of data generated by businesses and consumers, creating more monetization opportunities. According to Cisco Systems, the average number of devices and connections per person in North America was 13.4 in FY 2023, significantly higher than in other regions.
Furthermore, businesses increasingly recognize the value of their data as a strategic asset. They are exploring ways to monetize it through various means, such as selling data, offering data-driven services, or leveraging it for targeted advertising. Regulatory frameworks such as the GDPR in Europe and the CCPA in California also have heightened awareness around data privacy and security, prompting companies to find compliant ways to monetize their data assets.

Data Monetization Industry Overview

The data monetization market is competitive due to the presence of small and medium-sized enterprises and global players. Data monetization is used in various industries to provide vendors with growth opportunities, attracting new players into the market and driving competition among 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, Cisco Systems Inc., Dawex Systems SAS, and Emu Analytics Ltd., among others.

In May 2024, Accenture and Oracle joined forces to invest in state-of-the-art generative AI solutions, tools, and training resources. These strategic investments aim to enable organizations to unlock the full potential of their data, propelling them toward unprecedented growth and fostering a culture of continuous innovation. By combining their expertise, Accenture and Oracle are dedicated to helping clients across diverse industries reinvent their businesses through the adoption of generative AI at scale.
In February 2024, Dawex, Schneider Electric, Valeo, CEA, and Prosyst collaborated to establish Data4Industry-X, the Reliable Data Exchange Solution for the Industrial Sector. Primarily focusing on the automotive and power generation industries, Data4Industry-X strives to enhance competitiveness and minimize the environmental impact of prominent multinational industrial corporations operating in various countries.

Additional Benefits:

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

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 BFSI
- 6.2.2 Telecom and IT
- 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
- 6.3.4 Australia and New Zealand
- 6.3.5 Latin America
- 6.3.6 Middle East and 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.