Connect with us

Technology

Data Center Market to Grow by USD 535.6 Billion by 2029, Boosted by Multi-Cloud Adoption and Network Upgrades, Report on How AI is Driving Market Transformation – Technavio

Published

on

NEW YORK, Feb. 5, 2025 /PRNewswire/ — Report with the AI impact on market trends – The global data center market size is estimated to grow by USD 535.6 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  15.6%  during the forecast period. Rise in adoption of multi-cloud and network upgrades 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, Amazon.com Inc., Apple Inc., China Telecom Corp. Ltd., Cisco Systems Inc., CyrusOne LLC, Cyxtera Technologies Inc., Digital Realty Trust Inc., Equinix Inc., Google LLC, 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 insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Data Center Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 15.6%

Market growth 2025-2029

USD 535.6 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

13.2

Regional analysis

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

Performing market contribution

North America at 35%

Key countries

US, China, UK, Canada, Japan, Germany, India, France, Italy, and Brazil

Key companies profiled

365 Data Centers, Amazon.com Inc., Apple Inc., China Telecom Corp. Ltd., Cisco Systems Inc., CyrusOne LLC, Cyxtera Technologies Inc., Digital Realty Trust Inc., Equinix Inc., Google LLC, 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.

Market Driver

Data Centers are at the heart of the digital economy, powering IT infrastructure for businesses, individuals, and government organizations. Trends like Artificial Intelligence, Machine Learning, IoT, and Cloud Computing are driving the need for more data processing power and real-time data analysis. Green Data Centers are becoming essential as businesses seek to reduce their carbon footprint and save costs. The Department of Energy and Enterprise Engineering Solutions are leading the charge towards energy-efficient and sustainable data center designs. Cloud computing and Edge Computing offer cost savings, scalability, and flexibility for businesses. Real-time data processing is crucial for industries like autonomous vehicles and smart cities. Decentralized Data Centers and local special circumstances are becoming more common due to data sovereignty regulations and macroeconomic factors. The digitalization of industries like online retail, e-commerce, and personalized data storage require massive data center workloads and application performance. Hardware-related expenses, data security, and backups are top concerns for customers. Internet bandwidth, managed hosting, and colocation are popular solutions for businesses seeking to optimize their IT infrastructure. Big data and data analytics are key drivers of growth, with hyper-scale platforms and colocation data centers leading the way. Business leaders must stay competitive by adapting to these trends and investing in the right data center solutions. Cloud technology, data center systems, and data security are critical areas of focus. The exponential trend of digitization, driven by the S-curve function and internet penetration, will continue to shape the data center market. 

Data centers are enhancing energy efficiency through the implementation of Artificial Intelligence (AI). AI technology optimizes server, power, and cooling system performance, enabling quicker decisions and improved efficiency. Data center service providers utilize AI in automation software to reduce human intervention and promote energy-efficient operations. AI also facilitates effective cooling control, adjusting cooling processes and maximizing power usage in data centers. By implementing AI, data centers aim to boost performance, minimize downtime, and reduce human errors. 

Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution!

 Market Challenges

•         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 data volumes, demanding scalability and flexibility. Green Data Centers address energy efficiency concerns, while Department of Energy grants support innovation. Enterprise Engineering Solutions and Software Testing Help ensure system reliability. Businesses and individuals generate vast amounts of data, driving the need for cost savings and real-time processing. Digitalization, IoT devices, and autonomous vehicles create latency issues. Decentralized Data Centers address local special circumstances and data sovereignty regulations. Macroeconomic factors, such as exchange rates and business leaders’ decisions, impact data center investments. Cloud technology, data center systems, and colocation offer solutions for B2B enterprises, while hardware-related expenses and data security concerns persist. National statistical offices track the level of digitization, and trends show an exponential increase. Big data and data analytics require specialized regions and hyper-scale platforms. Managed hosting, colocation, and public cloud offer options for application performance, storage requirements, and mobile data use. Data security, backups, and Internet bandwidth remain critical concerns. Online retail, e-commerce, and personalized data storing and analyzing drive cloud data storage demand. Application performance, storage requirements, and lost data are key concerns. The digital economy, internet penetration, and mobile usage continue to grow, increasing the importance of data centers. Cloud technology, data center workloads, and application performance are essential for business success. Competitors in various industries rely on data centers for their digital transformation.

•         Enterprises heavily rely on data for generating revenue through trend analysis and informed decision-making. However, securing sensitive data, such as customer information, is a significant challenge. The increasing adoption of cloud services and IoT solutions heightens the risk of cyberattacks. Cybercriminals can exploit IT security vulnerabilities to gain unauthorized access to enterprise servers, potentially compromising valuable data and causing business disruption. This threat is particularly concerning for small enterprises, as a successful attack could lead to devastating consequences. It is crucial for businesses to prioritize data security measures to protect their digital assets and mitigate the risks associated with the evolving cyber threat landscape.

Discover how AI is revolutionizing market trends- Get your access now!

Segment Overview 

This data center market report extensively covers market segmentation by  

ComponentIT InfrastructurePower ManagementMechanical ConstructionGeneral ConstructionSecurity SolutionsEnd-userBFSIEnergyITOthersGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And AfricaDesignTraditionalContainerizedModular

1.1 IT infrastructure-  The data center IT infrastructure market consists of server infrastructure, storage infrastructure, software-defined data centers (SDDC), network infrastructure, converged infrastructure, backup and recovery software, automation software, and data center infrastructure management (DCIM) solutions. The increasing demand for computing power and storage to support data traffic growth is driving the market. Enterprises are shifting from on-premises to cloud-based data centers, and hyperscale data centers (HDCs) are investing heavily, increasing the demand for servers, storage infrastructure, and other IT equipment. Server infrastructure processes data, runs applications, and stores data. Enterprises aim to shift investments from capital expenditure (CAPEX) to operational expenditure (OPEX) and consolidate, virtualize, and containerize computing needs. Rack servers are the most widely used due to their suitability for enterprises with fixed requirements. The server infrastructure segment is growing due to green, colocation, and HDC expansions and technology refresh cycles. Storage infrastructure includes direct-attached storage (DAS), network-attached storage (NAS), and storage area networks (SAN). The exponential growth in data drives the demand for storage infrastructure. Social media applications and IoT deployment are significant contributors to data volume growth. NVMe SSDs and high-speed networks like LTE and 5G are also driving the segment. SDDCs are virtualized data centers managed through software. They offer cost savings, efficiency, control, and flexibility. Software-defined computing, networking, and storage are SDDC components. The adoption of cloud solutions is driving the SDDC segment’s growth. Network infrastructure includes Ethernet switches, routers, application delivery controllers (ADCs), and SD-WAN appliances. Virtualization is a key factor driving the sale of data center Ethernet switches. High-capacity switches are needed to handle east-west and north-south traffic. Cloud service providers demand higher capacity switches. Converged infrastructure combines multiple IT components into a single integrated computing package. It reduces data center footprint, management complexity, and costs. Hyper-converged infrastructure (HCI) is gaining popularity due to its scalability and cost savings. Data center automation software enables centralized access to data center resources and automates routine tasks. It offers features like scheduling, monitoring, patching, updating, reporting, and compliance. Cloud-based data center automation software is driving adoption due to its low upfront cost. Data center backup and recovery software enables periodic backup and instantaneous recovery of data. Enterprises are adopting online backup solutions and cloud backup services due to the advantages associated with cloud storage. DCIM solutions facilitate data center administration with an overall integrated view for asset and capacity management, energy management, power and cooling, and network management. Enterprises, colocation providers, and hyperscalers focus on energy efficiency and green data centers, driving the DCIM solutions segment.

Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics

Research Analysis

The Data Center market is experiencing significant growth due to the increasing demand for IT infrastructure to support Artificial Intelligence (AI) and Machine Learning (ML) applications, Internet of Things (IoT) devices, and the digitalization of businesses and individual lives. Cloud computing and edge computing are driving this trend, allowing for cost savings, scalability, and flexibility. Real-time data processing is crucial for online retail and e-commerce businesses, making data centers an essential component of their operations. Data center systems enable businesses to store, analyze, and manage their data center workloads efficiently. However, the risk of lost data and the need for speed and security are major concerns. Cloud technology continues to disrupt the traditional on-premises infrastructure, offering benefits such as cost savings, scalability, and real-time data processing. AI and ML are also being integrated into data center management to optimize performance and reduce energy consumption.

Market Research Overview

The Data Center market is experiencing significant growth as businesses and individuals increasingly rely on IT infrastructure for digitalization. Artificial Intelligence and Machine Learning are driving the demand for real-time data processing and analysis in Cloud computing and Edge computing. The Internet of Things (IoT) is generating massive amounts of data, requiring Decentralized Data Centers for local processing and storage. Green Data Centers are becoming essential to reduce energy consumption and costs. Macroeconomic factors, digital economy, and internet penetration are key drivers, with B2B enterprises and national statistical offices leading the way. Hardware-related expenses, data security, and data sovereignty regulations are major concerns. The market is showing an exponential trend, with the S-curve function indicating continued growth. Cost savings, scalability, and flexibility are key benefits. Applications include autonomous vehicles, smart cities, and e-commerce. Data center workloads require application performance, storage requirements, and mobile data use considerations. Data security, backups, and internet bandwidth are critical components. Managed hosting, colocation, and public cloud solutions are available for various business needs. Hyper scale platforms and colocation data centers are popular choices for big data and data analytics. Amazon Web Services and other cloud technology providers offer intelligent buildings and specialized regions to meet diverse customer needs.

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 AfricaDesignTraditionalContainerizedModular

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/

View original content to download multimedia:https://www.prnewswire.com/news-releases/data-center-market-to-grow-by-usd-535-6-billion-by-2029–boosted-by-multi-cloud-adoption-and-network-upgrades-report-on-how-ai-is-driving-market-transformation—technavio-302368483.html

SOURCE Technavio

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

BinBase Launches 2026 BIN Database Featuring 6-11 Digit Waterfall Lookup for High-Precision Payment Routing

Published

on

By

BinBase introduces its upgraded 2026 BIN Database, offering 3.2M+ card ranges, 29 granular data attributes, and extended 8-11 digit accuracy to eliminate false-positives and optimize routing for global fintechs.

MIAMI, July 21, 2026 /PRNewswire-PRWeb/ — BinBase, a provider of payment intelligence and card issuing data, has announced the official release of its updated 2026 BIN Database. Engineered for payment gateways, acquiring banks, fraud prevention platforms, and e-commerce platforms, the updated dataset solves critical routing inaccuracies caused by the industry-wide shift from legacy 6-digit BINs to extended 8-to-11-digit card ranges.

Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the surgical precision developers need for cost-effective payment routing.

Since ISO/IEC 7812 expanded the standard Bank Identification Number (BIN) length to 8 digits, traditional 6-digit lookup tables have struggled to correctly identify modern card profiles. This leads to false positives, misidentified interchange fees, and failed transactions. BinBase addresses this challenge by introducing a multi-tiered database structure supporting up to 11-digit precision, alongside a recommended “Waterfall Lookup Algorithm.”

To ensure 100% routing and verification accuracy, the Waterfall method executes a descending search sequence: checking 11-digit BIN ranges down through 10, 9, 8, 7, and 6 digits until an exact match is resolved.

Key technical specifications of the 2026 BinBase release include:

Over 3.2 Million Card Ranges: Full global coverage including Visa, Mastercard, Amex, Discover, UnionPay, JCB, and regional networks.Extended Precision: Over 88% of the dataset consists of high-precision ranges (8–11 digits) to accurately isolate sub-brands, currencies, and card tiers.29 Granular Attributes: Beyond core issuer data, the database features advanced parameters including Durbin Regulation status, US Debit/ATM network routing (STAR, NYCE), Fast Funds (Visa Direct / Mastercard MoneySend indicators), commercial Level 2/Level 3 data, and digital wallet token ranges (Apple Pay / Google Pay).

“Modern payment processing requires surgical precision,” said a spokesperson for Damiko Inc. “Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the underlying intelligence developers need to build resilient, cost-effective payment infrastructure.”

Developers and payment teams can evaluate the full 29-field database schema, review integration examples, and download a free 2026 sample dataset on the official GitHub repository.

To learn more about full commercial licensing options, instant CSV downloads, and custom API delivery, visit BinBase.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate fraud.

Media Contact

Fedor Lavrikoff, BinBase, 1 +17866133333, sales@binbase.com, htttps://www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-launches-2026-bin-database-featuring-6-11-digit-waterfall-lookup-for-high-precision-payment-routing-302829291.html

SOURCE BinBase

Continue Reading

Technology

Redington Limited and AutomationEdge Announce Strategic Partnership to Accelerate Enterprise Automation and Agentic AI Adoption

Published

on

By

MUMBAI, India, July 22, 2026 /PRNewswire/ — Redington, a leading technology aggregator and innovation catalyst, and AutomationEdge, a leading Agentic Process Automation platform for global enterprises, have announced a strategic partnership to accelerate the adoption of enterprise automation and Agentic AI. The collaboration brings together Redington’s extensive distribution ecosystem and partner network with AutomationEdge’s enterprise-grade Agentic Process Automation platform to enable faster, scalable, and outcome-driven digital transformation for organizations.

As a part of the partnership, AutomationEdge’s portfolio of AI Agents and automation solutions is now available through the Redington AI Exchange Marketplace, enabling partners and customers to easily discover, evaluate, and deploy enterprise-ready AI solutions. This availability significantly reduces the time required to adopt AI-driven automation and provides organizations with access to proven use cases that can deliver measurable business outcomes.

The partnership is focused on delivering solution-led automation offerings that simplify adoption for enterprises and channel partners. By combining Redington’s go-to-market reach with AutomationEdge’s 10x automation capabilities, the two organizations aim to help businesses move from fragmented automation initiatives to enterprise-wide orchestration—driving efficiency, agility, and operational excellence.

Through this collaboration, both companies will jointly promote pre-built automation and AI Agent solutions across key business functions, including banking operations, insurance processes, IT / HR operations, customer service, and finance functions. These solutions include ready-to-deploy workflows, AI Agents, demonstration environments, and implementation frameworks designed to accelerate deployment and reduce complexity.

The partnership will also include joint go-to-market initiatives such as partner enablement programs, co-branded workshops, solution showcases, and proof-of-concept (PoC) engagements. These initiatives are designed to equip Redington partners with the knowledge, tools, and support needed to successfully position, sell, and implement AI-powered automation solutions for enterprise and mid-market customers.

Sayantan Dev, Global Head, Software Solutions Group, Redington, said, “The next phase of AI adoption will be defined by execution. Through the Redington AI Exchange Marketplace, we are bringing together the technologies and ecosystem needed to help partners deliver real business outcomes at scale. AutomationEdge’s Agentic AI and automation capabilities strengthen our ability to enable customers to accelerate AI adoption with greater speed, governance, and confidence.”

Prasad Likhite, Chief Sales Officer of AutomationEdge, said, “We are delighted to strengthen our partnership with Redington and accelerate the adoption of next-generation enterprise automation and Agentic AI solutions across the market. The availability of AutomationEdge AI Agents through the Redington AI Exchange Marketplace marks an important milestone in democratizing AI-led transformation, enabling enterprises to rapidly scale intelligent automation initiatives with speed, agility, and measurable business impact. At the same time, it creates significant opportunities for partners to drive innovation, unlock new revenue streams, and deliver greater value to their customers.”

The collaboration also emphasizes localized support, implementation expertise, and customer success services, ensuring that organizations can seamlessly deploy, manage, and scale automation initiatives. By leveraging Redington’s strong partner ecosystem and AutomationEdge’s deep expertise in automation and Agentic AI, the partnership is well-positioned to address the evolving needs of modern enterprises.

As organizations increasingly prioritize productivity, operational efficiency, and AI-led transformation, this partnership marks a significant step toward making enterprise automation and Agentic AI more accessible, scalable, and impactful across industries.

 About Redington

Redington Limited (NSE: REDINGTON) (BSE: 532805), a leading technology solutions provider, empowers businesses in their digital transformation journeys. Guided by its brand narrative “Unlock Next”, Redington goes beyond distribution to remove barriers, accelerate digital adoption, and unlock access, growth, trust, efficiency, and impact—helping businesses, communities, and societies embrace what’s next in technology

About AutomationEdge

AutomationEdge is a leading Agentic Process Automation platform for global enterprises. Its platform enables organizations to automate complex business processes, deploy AI Agents at scale, improve operational efficiency, and accelerate digital transformation initiatives across industries.

Media Contact:
Rahul Wandile
rahul.wandile@automationedge.com

 

View original content to download multimedia:https://www.prnewswire.com/in/news-releases/redington-limited-and-automationedge-announce-strategic-partnership-to-accelerate-enterprise-automation-and-agentic-ai-adoption-302831361.html

Continue Reading

Technology

Applied Intuition Launches Dana, the Agentic Platform for Physical AI

Published

on

By

New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world.

Dana is the first agentic platform for building, testing, deploying and operating physical AI systems across industries.Built on nearly a decade of Applied Intuition’s tooling, infrastructure, workflows and engineering expertise, Dana is purpose-built for safety-critical systems operating in the physical world.Dana helps companies build physical AI applications for any industry or use case, from autonomy and software-defined vehicles to fleet operations, robotics, construction, mining and intelligent in-vehicle experiences.Dana has already reduced critical phases of vehicle development from months to days in internal and select customer deployments.

SUNNYVALE, Calif., July 22, 2026 /PRNewswire/ — Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition’s tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can:

Deploy Applied Intuition’s reference applications — spanning autonomy, fleet operations, and more — or build their own.Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems.Integrate the platform with enterprise systems and collaboration tools, like Slack and Jira, helping organizations connect fragmented engineering and operational workflows while embedding agentic capabilities across the development process.

Applied Intuition has used Dana internally since last year, building and delivering solutions on the platform for long-standing customers across automotive, trucking, mining, and agriculture. Dana’s agent-driven workflows have reduced critical phases of vehicle development timelines from months to days in some cases. Applied Intuition has offered limited, early access to select customers, including heavy-equipment manufacturer Komatsu and Isuzu Motors, who is using the platform to accelerate L4 autonomy for its fleet of commercial trucks.

“We’ve been impressed by how Dana can streamline complex engineering workflows and accelerate development,” said Yasuhiro Yazawa, Director, Isuzu Motors Limited, Japan. “Dana gives our engineering teams greater confidence to develop, track and deploy safe autonomous-vehicle capabilities at a much faster pace.”

“Applied Intuition has been a valuable technology partner as we continue advancing the digital capabilities that support the next generation of mining equipment and solutions,” said Peter Salditt, CEO, Komatsu Mining. “Dana represents another step forward, bringing intelligent, agentic capabilities into our engineering workflows to help our teams innovate faster, improve efficiency and ultimately create greater value for our customers’ operations.”

Dana is designed to help companies keep up with the fundamental shift now underway across industries. As autonomous vehicles, robots and industrial systems become more capable, manufacturers need a more integrated way to build, validate and deploy them safely. Dana gives teams a faster path from idea to production, and the confidence to put increasingly intelligent machines into the real world.

The future of AI is physical. Dana was built for it.

To learn more about Dana and Applied Intuition’s physical AI platform, visit AppliedIntuition.com.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with nearly two dozen offices across the globe, including in London, Munich, Tokyo, Seoul, and the Washington, D.C. metro area. Learn more at applied.co or press@applied.co.

View original content:https://www.prnewswire.com/apac/news-releases/applied-intuition-launches-dana-the-agentic-platform-for-physical-ai-302831516.html

SOURCE Applied Intuition, Inc.

Continue Reading

Trending