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Data Center Market size is set to grow by USD 434.8 billionn from 2024-2028, Rise in adoption of multi-cloud and network upgrades to support 5G to boost the market growth, Technavio

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NEW YORK, July 24, 2024 /PRNewswire/ — The global data center market size is estimated to grow by USD 434.8 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 14.52% during the forecast period. Rise in adoption of multi-cloud and network upgrades to support 5G is driving market growth, with a trend towards implementation of ai in data centers. However, cybersecurity issues poses a challenge. Key market players include 365 Data Centers, Alphabet Inc., Amazon.com Inc., Apple Inc., China Telecom Corp. Ltd., Cisco Systems Inc., CyrusOne LLC, Cyxtera Technologies Inc., Digital Realty Trust Inc., Equinix Inc., Hewlett Packard Enterprise Co., Intel Corp., International Business Machines Corp., KDDI Corp., Microsoft Corp., Nippon Telegraph and Telephone Corp., Oracle Corp., Salesforce Inc., SAP SE, and Verizon Communications Inc..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Component (IT infrastructure, Power management, Mechanical construction, General construction, and Security solutions), End-user (BFSI, Energy, IT, 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

365 Data Centers, Alphabet Inc., Amazon.com Inc., Apple Inc., China Telecom Corp. Ltd., Cisco Systems Inc., CyrusOne LLC, Cyxtera Technologies Inc., Digital Realty Trust Inc., Equinix Inc., Hewlett Packard Enterprise Co., Intel Corp., International Business Machines Corp., KDDI Corp., Microsoft Corp., Nippon Telegraph and Telephone Corp., Oracle Corp., Salesforce Inc., SAP SE, and Verizon Communications Inc.

Key Market Trends Fueling Growth

Data centers are enhancing energy efficiency through the application of Artificial Intelligence (AI). AI technology enables faster decision-making and optimization of server, power, and cooling systems. Data center service providers use AI in automation software to eliminate human intervention, facilitating energy-efficient operations. AI also optimizes cooling processes, allowing effective power usage and reducing downtime and human errors. AI monitors device performance in data centers, predicting potential failures and adjusting processes accordingly. Benefits of AI-based data center automation software include reduced infrastructure costs, operating costs, and deployment time. By 2028, advanced robots with AI and machine learning capabilities will increase cloud data center operating efficiency by over 30%. This trend will significantly contribute to the growth of the global data center market. 

Data centers play a crucial role in storing and analyzing data for businesses, e-commerce companies, and individuals. With the rise of personalized data and application performance, data center workloads continue to grow. Mobile data use and internet usage have surged, leading to increased storage requirements. Cloud data storage solutions like Amazon Web Services offer scalability and flexibility. Data security, backups, and internet bandwidth are top priorities. Managed hosting and colocation offer customized solutions for businesses. Big data and data analytics are driving innovation, with intelligent buildings, public cloud, and hyper-scale platforms leading the way. The Department of Energy focuses on green data centers. AI, ML, IoT, and IT infrastructure are key trends. Software testing solutions ensure application performance. Customers demand digitalization, and businesses respond with innovative data center solutions. 

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Market Challenges

Data is a valuable asset for businesses, fueling revenue opportunities through trend analysis and informed decision-making. However, securing sensitive data, including customer information, is a significant concern. Cyberattacks, particularly those targeting cloud services and IoT solutions, pose a growing threat. Non-compliance with data protection regulations can lead to hefty penalties. The increase in DDoS attacks, which disrupt business continuity, is a major challenge. These factors may hinder the expansion of the global data center market. Enterprise server estates are at risk of being hacked, potentially compromising data and shutting down businesses. Strict government regulations on citizen data security add to the complexity for cloud service providers.Data Centers face numerous challenges in today’s digital world. Artificial Intelligence and Machine Learning require massive computing power, driving the need for advanced IT infrastructure. The Internet of Things (IoT) and Cloud Computing increase the demand for real-time data processing and scalability. Green Data Centers are essential for businesses seeking cost savings and sustainability. The Department of Energy and Enterprise Engineering Solutions focus on energy efficiency. Software Testing Help ensures data security and reliability. Customers, including individuals and B2B enterprises, demand faster response times and flexibility. Digitalization and the Digital Economy drive the exponential trend towards more data creation and usage. Challenges include latency, autonomous vehicles, smart cities, and decentralized Data Centers. Local special circumstances, data sovereignty regulations, and macroeconomic factors also impact Data Center strategies. Businesses must adapt to the S-curve function of digital transformation, balancing hardware-related expenses with the benefits of cloud technology and data center systems. Macroeconomic factors like exchange rates, business leaders, and competitors influence decisions. Data loss and speed are critical concerns for end-users. Online retail and other industries require customized solutions. National statistical offices track the level of digitization, providing valuable insights. In summary, Data Centers must address these challenges to meet the evolving needs of the digital age.

For more insights on driver and challenges – Download a Sample Report

Segment Overview 

This data center market report extensively covers market segmentation by

Component 1.1 IT infrastructure1.2 Power management1.3 Mechanical construction1.4 General construction1.5 Security solutionsEnd-user 2.1 BFSI2.2 Energy2.3 IT2.4 OthersGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 IT infrastructure-  The data center market is experiencing significant growth due to the increasing demand for digital transformation and cloud services. Companies are investing heavily in building and expanding their data centers to support their growing digital operations. Data centers provide businesses with the necessary infrastructure to store, manage, and process large amounts of data efficiently and securely. This investment in data centers is essential for businesses to remain competitive in today’s digital economy.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022)  – Download a Sample Report

Learn and explore more about Technavio’s in-depth research reports

The global Data Center Colocation and Managed Hosting Services Market is witnessing significant growth, driven by increased demand for scalable and secure infrastructure solutions. Meanwhile, the global Containerized and Modular Data Center Market is expanding rapidly, offering flexibility and cost-efficiency for enterprises. Additionally, the global Data Center Infrastructure Management (DCIM) Solutions Market is flourishing as organizations seek advanced tools for optimizing data center performance and energy efficiency. These markets collectively address the evolving needs of modern businesses, ensuring robust, efficient, and adaptive data center operations.

Research Analysis

The Data Center market is experiencing significant growth due to the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, Internet of Things (IoT), Cloud computing, and Edge computing. These technologies are driving the demand for IT infrastructure to support real-time data processing, scalability, and flexibility. Digitalization is also playing a key role in the growth of the market, as businesses and individuals rely more on online retail, e-commerce, and personalized data for storing and analyzing data center workloads. Cloud technology and data center systems are becoming essential for cost savings and efficient management of data. However, the risk of lost data and the need for speed remain critical challenges for the market. Data Centers are essential for businesses to keep up with the demands of their customers and stay competitive. On-premises infrastructure continues to be a popular choice for some businesses due to its control and security benefits. Overall, the Data Center market is poised for continued growth as businesses and individuals increasingly rely on technology for their operations and personal lives.

Market Research Overview

The Data Center market is experiencing rapid growth due to the increasing demand for IT infrastructure to support Artificial Intelligence, Machine Learning, Internet of Things, and Cloud Computing. Green Data Centers are gaining popularity as businesses strive for cost savings, scalability, and flexibility. The Department of Energy is investing in energy-efficient data centers to reduce carbon emissions. Digitalization is transforming industries, from manufacturing to finance, with businesses and individuals relying on real-time data processing for decision-making. Decentralized Data Centers are emerging to address local special circumstances and data sovereignty regulations. Macroeconomic factors, such as the digital economy, internet penetration, and B2B enterprises’ hardware-related expenses, are driving the market’s exponential trend. Data center systems must provide application performance, storage requirements, and data security for mobile data use, internet usage, and cloud data storage. Data analytics and intelligent buildings are also key areas of focus, with public cloud, colocation, and hyper-scale platforms leading the way. Autonomous vehicles, IoT devices, and smart cities require low latency for optimal performance. Backups and data security are critical concerns for end-users, with managed hosting and colocation offering solutions for businesses. Big data and data analytics are essential for online retail and e-commerce, with personalized data storing and analyzing data center workloads becoming increasingly important. Cloud technology is revolutionizing the industry, with Amazon Web Services leading the charge. However, lost data and data security breaches remain significant challenges. The level of digitization, exchange rates, business leaders, and competitors are also influencing the market’s direction.

Table of Contents:

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

ComponentIT InfrastructurePower ManagementMechanical ConstructionGeneral ConstructionSecurity SolutionsEnd-userBFSIEnergyITOthersGeographyNorth 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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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

Logo: https://mma.prnewswire.com/media/2731415/Zifo_Technologies_Logo.jpg

 

View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com

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