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資料收益化

市場調查報告書

商品編碼

1524111

資料貨幣化：市場佔有率分析、產業趨勢/統計、成長預測（2024-2029）

Data Monetization - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年07月15日 | 出版商:

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

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簡介目錄

資料貨幣化市場規模預計到 2024 年為 41.7 億美元，預計到 2029 年將達到 103.5 億美元，在預測期內（2024-2029 年）複合年成長率為 19.94%。

資料在 B2B 環境中的業務決策和策略制定中的重要性日益增加，正在推動市場需求。這也得益於商業環境中數位設備和系統整合帶來的資料生成、網際網路使用範圍擴大帶來的消費者資料量的增加以及市場上資料分析工具的出現，導致市場成長和生成資料的貨幣化在世界各地創造機會。

主要亮點

資料貨幣化策略依賴更傳統的分析技術，並且難以有效處理非結構化資料。然而，透過雲端平台輕鬆存取大規模運算資源以及一些人工智慧/機器學習驅動的分析引擎的商品化使價值和投資收益變得更加實惠，預計這將支持未來的成長。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業務效率來為開發應用程式的公司提高應用程式投資回報率。這顯示資料貨幣化解決方案市場的成長潛力。
資料貨幣化策略的廣泛和新應用可以幫助企業創造新的收益來源。這可以透過直接向第三方出售資料、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。因此，預計未來資料貨幣化解決方案將擴大被所有終端用戶群體採用。
隨著線上業務的擴展，例如線上銀行和電子商務公司的擴展，他們可能會部署資料貨幣化解決方案來分析客戶的購買模式和偏好並個性化產品推薦。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，正在支持各個最終用戶細分市場的客戶資料的生成，從而創造市場成長機會。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推動預測期內的市場成長。
資料貨幣化計劃的一個擔憂是將資料暴露給外部各方的隱私和法律影響。因此，使用者應仔細考慮從客戶處獲得的資料的權利和所有權。根據資料收集時簽訂的地區、行業和特定客戶協議，這些監管政策可能需要大量資源和專業知識。這給希望透過資料集收益的組織帶來了挑戰。

資料貨幣化市場趨勢

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。大型企業正在加大雲端遷移計劃，並面臨客戶期望不斷提高、業務量不斷增加以及服務交付模式不斷變化等新挑戰。
因此，許多大型企業正在採用高速雲端服務供應商的DaaS（數據即服務）解決方案。大多數都專注於透過 DaaS產生收入。資料驅動的收益業務將自動化，並提供更高的生產力。
在美國，亞馬遜、Facebook 和Google等公司正在利用資料收益以幫助發展業務。因此，各行業的組織都在轉向資料來發現為業務成長創造價值的機會。
據美國銀行稱，到 2024 年，數位廣告預計將占美國廣告支出的 74%，高於 2023 年的 69%。 Google、Meta 和亞馬遜等科技巨頭將繼續主導美國線上廣告產業。近年來，Expedia、Booking、eBay、Airbnb 等美國公司將大量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。
大型企業預計將設計可重新配置的架構，廣泛支援資料重用，以增加資料貨幣化解決方案的內在價值。這使我們能夠滿足苛刻的技術需求，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

由於企業和消費者產生的資料量不斷增加，北美的資料貨幣化市場正經歷顯著成長。企業正在尋找從這些資料中提取價值的新方法，從而推動創新資料貨幣化策略和技術的發展。先進分析和人工智慧的採用使企業能夠從資料中獲得可行的見解，進一步推動市場成長。
該地區也是先進分析解決方案和實踐創新方法的早期採用者和實施者，包括巨量資料、機器學習、資訊科學和高效能運算。有些供應商在該地區擁有強大的立足點，為市場的成長做出了貢獻。 Google Inc.、Cisco Systems Inc.、Adastra Corporation（加拿大）、Domo、Sisense Inc. 等
2023 年 6 月，思科發布了思科可觀測平台。它是一個開放、可擴展、API 驅動的全端可觀測性 (FSO) 平台，基於 OpenTelemetry 構建，並由指標、事件、日誌和追蹤 (MELT) 提供支援。推動思科的全端可觀測性策略，並提供 AI/ML主導的分析和新的可觀測性生態系統，以提供相關且有影響力的業務見解。可觀察性可以成為透過集中資料、分析、行動和實踐來減少團隊摩擦的關鍵方法。
數位設備和技術的激增顯著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，2023年北美地區人均設備和連線數量將達到13.4個，遠超過其他地區。
此外，公司越來越認知到資料作為策略資產的價值。我們正在探索以多種方式將資料收益的方法，包括出售資料、提供資料主導的服務以及將其用於有針對性的廣告。歐洲的 GDPR 和加州的 CCPA 等法律規範也提高了人們對資料隱私和安全的認知，企業尋求合規的方式將其資料資產收益。

資料貨幣化產業概述

由於中小企業和跨國公司的存在，資料貨幣化市場競爭非常激烈。資料貨幣化應用於多種行業，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、Cisco Systems Inc.、Dawex Systems SAS、Emu Analytics Ltd.。

2024 年 5 月，Accenture和Oracle將合作投資尖端的生成式人工智慧解決方案、工具和培訓資源。這些策略投資旨在幫助組織充分發揮資料潛力，推動其實現前所未有的成長並培養持續創新的文化。透過結合我們的專業知識，Accenture和Oracle將幫助各行業的客戶透過大規模採用生成式人工智慧來實現業務轉型。
2024 年 2 月，Dawex、施耐德電機、法雷奧、CEA 和 Prosyst 共同創立了 Data4Industry-X，這是一個面向工業領域的可靠資料交換解決方案。 Data4Industry-X 致力於增強在不同國家營運的知名跨國工業公司的競爭力並最大程度地減少對環境的影響，主要集中在汽車和發電行業。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月分析師支持

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章市場機會及未來趨勢

簡介目錄

Product Code: 71513

The Data Monetization Market size is estimated at USD 4.17 billion in 2024, and is expected to reach USD 10.35 billion by 2029, growing at a CAGR of 19.94% during the forecast period (2024-2029).

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.