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Data Monetization Market to grow by USD 8.03 Billion from 2024-2028, driven by widespread adoption and AI-driven market transformation – Technavio

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NEW YORK, Nov. 27, 2024 /PRNewswire/ — Report with the AI impact on market trends – The global data monetization market size is estimated to grow by USD 8.03 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 27.17% during the forecast period. High adoption of data monetization by various end-users is driving market growth, with a trend towards digital transformation of business. However, data privacy and regulatory compliance poses a challenge. Key market players include Accenture Plc, Adastra Group, Alphabet Inc., Ciena Corp., Cisco Systems Inc., CoreSite Realty Corp., Dawex Systems., Emu Analytics Ltd., Enea AB, Equinix Inc., Extreme Networks Inc., Infosys Ltd., International Business Machines Corp., Juniper Networks Inc., Microsoft Corp., Ness Technologies Inc., NetScout Systems Inc., Nippon Telegraph And Telephone Corp., Nokia Corp., Oracle Corp., SAP SE, Thales Group, and Viavi Solutions Inc..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2017 – 2021

Segment Covered

Type (Solution and Service), Platform (BFSI, E-commerce and retail, Media and entertainment, Manufacturing, and Others), and Geography (North America, APAC, Europe, South America, and Middle East and Africa)

Region Covered

North America, APAC, Europe, South America, and Middle East and Africa

Key companies profiled

Accenture Plc, Adastra Group, Alphabet Inc., Ciena Corp., Cisco Systems Inc., CoreSite Realty Corp., Dawex Systems., Emu Analytics Ltd., Enea AB, Equinix Inc., Extreme Networks Inc., Infosys Ltd., International Business Machines Corp., Juniper Networks Inc., Microsoft Corp., Ness Technologies Inc., NetScout Systems Inc., Nippon Telegraph And Telephone Corp., Nokia Corp., Oracle Corp., SAP SE, Thales Group, and Viavi Solutions Inc.

Key Market Trends Fueling Growth

The Data Monetization Market is booming as businesses seek new ways to leverage their data for profit. This trend is driven by advances in technology like AI, IoT, machine learning, and deep learning, which enable better Business Intelligence (BI) and Big Data analytics. Enterprises are using data monetization tools to transform customer experience, improve sales and marketing, and enhance finance operations. IT professionals focus on data structures and quality to ensure market ecosystem success. The Tools segment includes direct and indirect monetization processes, with large enterprises and SMEs in various industries like telecommunication, healthcare, MSMEs, digitization, IT and telecom, energy and utilities, e-commerce, and cloud computing, benefiting from data monetization solutions. Market competition is high, with enterprise rivalry driving innovation in data type segmentation, customer data, organization size, and industry verticals. Data monetization processes include internal and external methods, with Big Data playing a crucial role in customer service, sales, and finance. Cloud and on-premise solutions offer flexibility for businesses. 

The digital revolution in sectors such as BFSI and automotive is generating massive data through digital technologies, IoT devices, social media, and other digital channels. This data abundance presents businesses with opportunities to monetize their assets by analyzing and offering data-driven products or services. Cloud computing’s adoption allows organizations to store and process large volumes of data affordably, enabling them to explore monetization opportunities. 

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Market Challenges

The Data Monetization Market presents significant opportunities for enterprises to generate revenue from their data. However, implementing data monetization processes comes with challenges. Businesses must invest in data monetization tools that can handle various data structures and ensure data quality. Customer experience is crucial, and AI, IoT, machine learning, and deep learning technologies can help. However, the market ecosystem is complex, with tools segmented by data type, customer data segment, organization size, and industry vertical. Large enterprises and SMEs in telecommunication, healthcare, MSMEs, IT and telecom, energy and utilities, e-commerce, and finance sectors can benefit. Digitization and competition drive enterprise rivalry, making data monetization solutions essential for customer service, sales and marketing, finance, and other departments. Data monetization processes involve internal and external methods, including Big Data, cloud, on-premise, direct, and indirect monetization.Monetizing data involves organizations sharing or selling their data assets to generate revenue. However, this practice comes with risks, particularly regarding data privacy. Strict regulations such as the GDPR and CCPA require organizations to collect, store, process, and share personal data in specific ways. Complying with these regulations while monetizing data can be complex and challenging. Proper consent mechanisms, anonymization techniques, and data governance practices are essential to protect customer privacy and comply with regulatory requirements. Failure to do so may result in data breaches and unauthorized access, potentially hampering the growth of the data monetization market during the forecast period.

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Segment Overview 

This data monetization market report extensively covers market segmentation by

Type 1.1 Solution1.2 ServicePlatform 2.1 BFSI2.2 E-commerce and retail2.3 Media and entertainment2.4 Manufacturing2.5 OthersGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 Solution- Businesses today have an abundance of data from various sources, including customer interactions, IoT devices, and social media. This data presents an opportunity for organizations to extract valuable insights and monetize them effectively. Data monetization solutions enable businesses to transform their data into actionable products and services, such as personalized marketing campaigns, targeted recommendations, optimized pricing strategies, and improved inventory management. Rapid advancements in technologies like big data analytics, artificial intelligence, machine learning, and cloud computing make data monetization more accessible and effective. Retail giants like Walmart and Amazon are already utilizing customer data to enhance the shopping experience and drive sales. The high adoption of data monetization solutions across industries will positively impact the growth of the global market in the forecast period.

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Research Analysis

The Data Monetization Market refers to the business of extracting value from data through various monetization strategies. Enterprises are increasingly recognizing the value of their data and are seeking tools and processes to monetize it effectively. Business processes for data monetization include direct and indirect monetization, such as selling data to third parties or using it to enhance internal operations. Data monetization tools include AI, IoT, machine learning, and deep learning technologies, which enable the analysis and processing of large volumes of data. Business Intelligence (BI) and big data analytics are essential components of data monetization, providing insights to improve customer experience, sales and marketing, finance, and other areas. IT professionals play a crucial role in implementing data monetization strategies, ensuring data quality and structures are optimized for monetization. The market ecosystem includes various industries such as IT and telecom, energy and utilities, e-commerce, and finance. Data monetization can be implemented in the cloud or on-premise, offering flexibility to businesses. Direct data monetization involves selling data to third parties, while indirect monetization includes using data to enhance internal operations and customer service. Data monetization is transforming industries, from improving customer experience in e-commerce to optimizing operations in energy and utilities. The future of data monetization lies in the integration of advanced technologies and a customer-centric approach.

Market Research Overview

The Data Monetization Market refers to the business of extracting value from data through various processes and tools. Enterprises are leveraging data monetization to optimize business processes, enhance customer experience, and generate new revenue streams. Data monetization tools include AI, IoT, machine learning, and deep learning, among others, enabling Big Data analytics and Business Intelligence (BI). IT professionals focus on data structures and quality to ensure market ecosystem effectiveness. The Tools segment includes direct and indirect monetization processes, such as selling data to third parties or using it for internal purposes. Data types range from customer data to organizational data, with large enterprises and SMEs in various industry verticals, including telecommunication, healthcare, MSMEs, and e-commerce, adopting data monetization solutions. Digitization and enterprise rivalry drive the market, with cloud and on-premise solutions catering to diverse needs. Data monetization processes include internal and external monetization, impacting customer service, sales and marketing, finance, and more. Industries like IT and telecom, energy and utilities, and finance are significant contributors to the market’s growth.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TypeSolutionServicePlatformBFSIE-commerce And RetailMedia And EntertainmentManufacturingOthersGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Cboe Clear U.S. Receives SEC Approval to Expand Clearing Capabilities

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SEC registration enables Cboe Clear U.S. to clear binary securities options alongside futures, positioning it to support innovation across the market

CHICAGO, Oct. 23, 2026 /PRNewswire/ — Cboe Global Markets, Inc. (Cboe: CBOE), a leading global markets operator and pioneer in equity and index derivatives, today announced that Cboe Clear U.S., LLC (CCUS) has received temporary registration from the U.S. Securities and Exchange Commission (SEC) to operate as a Covered Clearing Agency.

The registration expands CCUS’s clearing capabilities beyond its existing authorities as a Commodity Futures Trading Commission (CFTC)-registered Derivatives Clearing Organization (DCO) to clear securities products in addition to futures and swaps products. Together with recent enhancements to its regulatory framework and product scope, the milestone positions CCUS to support innovation and emerging opportunities across a broad range of assets and markets.

CCUS will initially use its SEC registration to clear Cboe’s binary securities options tied to specified corporate key performance indicators (KPIs), which are planned to list on Cboe Options Exchange and be available on Robinhood in the fourth-quarter 2026. CCUS also recently received CFTC approval to clear margined futures broadly and continues to clear digital asset derivatives under its DCO designation.

“Clearing plays a critical role in bringing innovation to market,” said Dale Michaels, Head of Cboe Clear U.S. “These expanded capabilities position Cboe Clear U.S. to become an innovation lane to support new products and meet evolving customer needs, while maintaining the rigorous risk management standards that are fundamental to our business.”

These efforts complement Cboe’s longstanding partnership with The Options Clearing Corporation (OCC)® and Cboe’s continued commitment to supporting the established clearing infrastructure for traditional equity options.

The development builds on the growth of Cboe’s established European clearing business, where Cboe Clear Europe has become the leading pan-European equities central counterparty, while expanding into new services such as securities financing transaction clearing. Together, these advances demonstrate Cboe’s ability to extend its clearing capabilities across markets and asset classes.

To support its own future growth, CCUS has strengthened its infrastructure over the past year, including electing in June to become a Subpart C DCO. In doing so, CCUS is voluntarily adopting the enhanced standards the CFTC applies to systemically important DCOs for financial resources, risk management and operational resilience, aligning with those applied to leading global clearing organizations.

About Cboe Global Markets

Cboe Global Markets (Cboe: CBOE) is a leading global markets operator with a long history of innovation in equity and index derivatives. Since launching the world’s first listed options exchange in 1973, Cboe has pioneered landmark products, including the introduction of S&P 500® index options and the creation of the VIX® Index, the world’s leading gauge of market volatility, reshaping how investors manage risk and access opportunity. Today, Cboe operates derivatives, equities, and FX markets, providing trading, clearing, and investment solutions for customers worldwide. To learn more, visit www.cboe.com.

Cboe Media Contacts

 

Cboe Analyst Contact

 

Angela Tu

+1-646-856-8734

atu@cboe.com

Tim Cave

+44 (0) 7593-506-719

tcave@cboe.com

Kenneth Hill, CFA

+1-312-786-7559

khill@cboe.com

CBOE-C
CBOE-OE

Cboe®, Cboe Global Markets®, and VIX ® are registered trademarks or service marks of Cboe Exchange, Inc and S&P 500® is a registered trademark of Standard & Poor’s Financial Services LLC. All other trademarks and service marks are the property of their respective owners. 

Cautionary Statements Regarding Forward-Looking Information

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 that involve a number of risks and uncertainties. You can identify these statements by forward-looking words such as “may,” “might,” “should,” “expect,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “potential” or “continue,” and the negative of these terms and other comparable terminology. All statements that reflect our expectations, assumptions or projections about the future other than statements of historical fact are forward-looking statements. These forward-looking statements, which are subject to known and unknown risks, uncertainties and assumptions about us, may include projections of our future financial performance based on our growth strategies and anticipated trends in our business. These statements are only predictions based on our current expectations and projections about future events. There are important factors that could cause our actual results, level of activity, performance or achievements to differ materially from those expressed or implied by the forward-looking statements.

We operate in a very competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible to predict all risks and uncertainties, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements.

Some factors that could cause actual results to differ include: the loss of our right to exclusively list and trade certain index options and futures products; economic, political and market conditions; compliance with legal and regulatory obligations; price and new products and services competition and consolidation in our industry; decreases in trading or clearing volumes, market data fees or a shift in the mix of products traded on our exchanges; legislative or regulatory changes or changes in tax regimes; our ability to protect our systems and communication networks from security vulnerabilities and breaches; our ability to attract and retain skilled management and other personnel; increasing competition by foreign and domestic entities; our business and operational dependence on and exposure to risk from third parties; factors that impact the quality and integrity of our and other applicable indices; our ability to manage our global operations, growth, and strategic acquisitions, wind downs, divestitures, or alliances effectively; increases in the cost of the products and services we use; our ability to operate our business without violating the intellectual property rights of others and the costs associated with protecting our intellectual property rights; our ability to minimize the risks, including our credit, liquidity, market, investment, counterparty, and default risks, associated with operating our  clearinghouses; our ability to accommodate trading and clearing volume and transaction traffic, including significant increases, without failure or degradation of performance of our systems; misconduct by those who use our markets or our products or for whom we clear transactions; challenges to our use of open source software code; our ability to meet our compliance obligations, including managing our business interests and our regulatory responsibilities; the loss of key customers or a significant reduction in trading or clearing volumes by key customers; damage to our reputation; the ability of our compliance and risk management methods to effectively monitor and manage our risks; restrictions imposed by our debt obligations and our ability to make payments on or refinance our debt obligations; our ability to maintain an investment grade credit rating; impairment of our goodwill, long-lived assets, investments or intangible assets; the accuracy of our estimates and expectations; and litigation risks and other liabilities. More detailed information about factors that may affect our actual results to differ may be found in our filings with the SEC, including in our Annual Report on Form 10-K for the year ended December 31, 2025 and other filings made from time to time with the SEC.

We do not undertake, and we expressly disclaim, any duty to update any forward-looking statement whether as a result of new information, future events or otherwise, except as required by law. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof.

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SOURCE Cboe Global Markets, Inc.

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Hears Everything, Uploads Nothing: VoxNexus Launches Android’s First Low-Power On-Device Always-On Voice Artificial Intelligence (AI)

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VoxNexus’ new on-device ambient listening solution runs for 12 hours on 2.49% of a phone’s battery and never sends audio to the cloud

MADRID, Oct. 23, 2026 /PRNewswire/ — VoxNexus (www.VoxNexus.ai) released VoxEdge, an on-device voice stack that brings speech recognition, translation and speech synthesis to affordable Android devices, entirely offline. VoxEdge supports speech recognition in 36 languages, translation in 103 languages, and speech synthesis in 45 languages—all running with no connection, no data bundle, and no cloud token bills.

AI should work for everyone, not just for speakers of a handful of mainstream languages. Yet across much of Africa, voice AI has been held back by scarce training data and the lack of targeted fine-tuning. Everyday speech also includes code-switching and dialect variation, while cloud-based inference costs can make deployment at scale expensive. 

VoxNexus’s solutions run entirely on device, and every query is free once the model is installed on the device. Its speech recognition model has as few as 65 million parameters and achieves a lower word error rate than open-source models nearly ten times its size.

“Under-resource languages aren’t small languages. Hundreds of millions of people speak them. Until now, AI models just haven’t learned them yet,” said Charles Shi, CEO of VoxNexus.

VoxNexus also launched VoxSense, an on-device ambient listening solution that uses only 162 mAh for 12 hours of continuous listening, around 2.5% of a 6,500 mAh phone battery. By keeping all processing on device, VoxSense makes always-on listening practical without draining the battery and without sending any audio to the cloud. Developers and device makers can easily integrate it through a license and a simple SDK. Developers can request a free trial here: www.VoxNexus.ai.

VoxSense and VoxEdge were unveiled at the MediaTek Dimensity 9600 launch in Madrid on October 19.

Distributed by APO Group on behalf of VoxNexus AI. 

About VoxNexus:
VoxNexus builds AI that hears and speaks — for everyone, everywhere, all the time. Its audio intelligence runs entirely on-device, delivering low latency, built-in privacy, and zero token cost across any device with a chip. VoxNexus is headquartered in Singapore. Website: www.VoxNexus.ai. Contact: public@voxnexus.ai  

VoxNexus demonstrates live on-device speech recognition at the MediaTek Dimensity 9600 launch in Madrid on Oct. 19, 2026. Spanish and English conversations were transcribed in real time on the phone, with no cloud connection. (Photo: VoxNexus) 

Speaks Your Language, No Internet Needed: VoxNexus Brings On-Device Voice Artificial Intelligence (AI) in 100+ Languages to Affordable Android Devices

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SOURCE VoxNexus AI

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team.blue extends €1.1 billion of its Term Loan B to 2032 in the largest software Euro term loan issuance in the last 12 months

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GHENT, Belgium, Oct. 23, 2026 /PRNewswire/ — team.blue, a leading pan-European provider of digital solutions for small and medium-sized businesses (SMBs) backed by Hg, CPP Investments and Sofina, today announces the successful pricing of an amendment and maturity extension for €1.1 billion of its existing €1.35 billion Term Loan B. The transaction priced on 22 October 2026, with the refinanced tranche extended from September 2029 to July 2032, reinforcing the Company’s prudent capital structure approach.

Strong demand from a broad group of institutional investors enabled team.blue to upsize the transaction twice in-market, taking the final deal size to €1.1 billion from a minimum initial launch size of €500 million, despite recent credit market volatility. Pro forma for the transaction, c.90% of team.blue’s term debt now matures in 2032.

The transaction comes at a time of significant momentum for team.blue, with continued double-digit revenue growth and strong cash generation supporting its deleveraging trajectory. Its products help Europe’s SMBs get online, get customers, get paid and stay compliant, and AI-enabled products are increasingly driving new customer growth. team.blue continues to innovate across its portfolio, from smarter tools within its brands to secure European cloud hosting built for customers’ growing AI workloads. Its category-leading SaaS brands are also integrating with leading AI assistants, bringing team.blue’s products to customers wherever they work.

Transaction highlights

The largest software Euro term loan issuance in the last 12 months€1.1 billion Term Loan B, borrowed by team.blue Finco S.à r.l., maturing July 2032Priced at E + 425bps with a 0% floor and an OID of 98.5Upsized twice from an initial €500 million, reflecting a heavily oversubscribed order bookCorporate and facility ratings of B3 (Moody’s) and B (S&P), both with stable outlooksBofA acted as Global Coordinator and Left Lead Physical Bookrunner, alongside Barclays. ABN AMRO, BNP Paribas, Citi, ING and J.P. Morgan acted as Bookrunners

Jonathan Thackray, Chief Financial Officer of team.blue, said:
“We set out to extend €500 million of our Term Loan B, and the depth of support from our institutional investor base allowed us to go much further. This reflects confidence in team.blue’s highly recurring, cash-generative model and our position as a leading digital partner for Europe’s SMBs. It gives us the flexibility to keep innovating and investing in the digital and AI-enabled tools our customers rely on.”

About team.blue
team.blue is the pan-European digital partner for small and medium businesses, serving more than 3.5 million customers in 24 countries. From web hosting, domains, email and cloud and AI infrastructure to e-commerce, engagement, payments and compliance tools, team.blue helps SMBs get online, get customers, get paid and stay compliant. Supported by more than 4,000 employees, team.blue’s vision is to make online business success simpler, with artificial intelligence at every step. 

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