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Data Center Market to Grow by USD 535.6 Billion (2025-2029), Driven by Multi-Cloud Adoption and Network Upgrades, Report on AI’s Impact on Market Trends – Technavio

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NEW YORK, Jan. 27, 2025 /PRNewswire/ — Report on how AI is redefining market landscape – 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 businesses, individuals, and the Internet. Trends like Artificial Intelligence, Machine Learning, IoT, and Cloud Computing are driving the need for advanced IT infrastructure. The Department of Energy pushes for Green Data Centers, while Enterprise Engineering Solutions and Software Testing Help ensure optimal performance. Customers demand cost savings, scalability, and flexibility for real-time data processing. Macroeconomic factors, digitalization, and business leaders are embracing Cloud Technology to store and analyze data for applications like autonomous vehicles, smart cities, and e-commerce. Decentralized Data Centers address local special circumstances and data sovereignty regulations. B2B enterprises focus on hardware-related expenses, while National Statistical Offices track the level of digitization. The exponential trend smoothes the S-curve function of data center systems, balancing exchange rates and competition in the market. Data security, backups, and Internet bandwidth are crucial concerns for end-users. Managed hosting, colocation, and big data analytics are essential services for businesses, with public cloud, specialized regions, and hyper-scale platforms leading the way. IoT, mobile data use, and internet usage continue to increase, driving the need for cloud data storage and data center workloads. 

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 streamline operations, minimize human intervention, and promote energy-efficient cooling. Supervised control over mechanical cooling is facilitated by AI, allowing for effective power usage and improved performance. By implementing AI, data centers aim to reduce downtime, minimize errors, and boost overall efficiency. 

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 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 aid in research. Enterprise Engineering Solutions and Software Testing Help ensure system reliability. Customers seek cost savings, real-time data processing, and local special circumstances considerations. Digitalization and businesses’ growing reliance on data necessitate decentralized Data Centers. Data sovereignty regulations and macroeconomic factors impact the digital economy and internet penetration. B2B enterprises grapple with hardware-related expenses and data center workloads. National statistical offices require high levels of digitization for accurate data analysis. Exponential trend smoothing and S-curve functions help predict growth. Exchange rates and business leaders’ decisions influence cloud technology adoption. Data security, backups, and internet bandwidth are crucial concerns. Managed hosting, colocation, and public cloud offerings cater to various needs. Hyper scale platforms and colocation data centers like Amazon Web Services address big data and IoT demands. Autonomous vehicles, smart cities, and mobile data use further increase the importance of Data Centers. Challenges include application performance, storage requirements, and data security. Online retail and e-commerce rely on data center systems for personalized data storing and analyzing. Data center systems must ensure speed, reliability, and data security to meet end-users’ expectations. In conclusion, Data Centers face a myriad of challenges, from technological advancements to regulatory requirements and customer expectations. Adapting to these challenges is crucial for businesses and individuals to thrive in the digital age.

•         Enterprises rely heavily on data for generating revenue and making informed business decisions. However, the security of this valuable asset is a significant concern. With the increasing adoption of cloud services and IoT solutions, the risk of cyberattacks is escalating. Cybercriminals can exploit IT security vulnerabilities to gain unauthorized access to enterprise servers, potentially compromising sensitive data such as customer information. Such attacks can lead to financial losses and even the closure of small businesses. It’s crucial for enterprises to prioritize IT security to protect their data and maintain business continuity.

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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 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. Enterprises and data center service providers are shifting their investments from capital expenditure (CAPEX) to operational expenditure (OPEX) models to optimize server infrastructure usage and reduce costs. This trend is driving the demand for consolidation, virtualization, and containerization of computing needs. The server infrastructure segment includes rack servers, blade servers, tower servers, microservers, and Open Compute Project (OCP) servers. Rack servers are the most widely used data center servers due to their suitability for enterprises with fixed business requirements. The storage infrastructure segment includes direct-attached storage (DAS), network-attached storage (NAS), and storage area network (SAN). The exponential growth in data generated and transferred necessitates the demand for data storage infrastructure. The adoption of software-defined data centers (SDDCs) is increasing due to their cost savings, improved efficiency, control, and flexibility. SDDCs consist of software-defined computing (SDC), software-defined network (SDN), and software-defined storage (SDS). Network infrastructure includes devices such as Ethernet switches, routers, application delivery controllers (ADCs), Web optimizers (WOPTs), and SD-WAN appliances. Converged infrastructure is a data center management technique that combines multiple IT components into a single integrated computing package. Data center automation software enables the workflow management of a data center and automates servers, networks, storage, and other data center management tasks. Data center backup and recovery software ensures business continuity by enabling periodic backup and instantaneous recovery of data. DCIM solutions facilitate the administration of a data center with an overall integrated view for asset and capacity management, energy management, power and cooling, and network management. The increasing investments in data centers and the focus on improving operational efficiency are driving the growth of the global data center market.

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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, the Internet of Things (IoT), 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 essential for online retail and e-commerce businesses, making data centers a crucial component of their operations. Data center systems enable businesses to store, analyze, and manage their data center workloads efficiently. The loss of data can result in significant financial and reputational damage, making data center security a top priority. Cloud technology is revolutionizing the data center landscape, providing faster access to personalized data for businesses and individuals alike.

Market Research Overview

The Data Center market is experiencing significant growth due to the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, IoT devices, and Cloud computing. Green Data Centers are becoming increasingly popular as businesses and individuals prioritize cost savings, scalability, and flexibility. The Digitalization of industries and economies is driving the demand for real-time data processing and reducing latency. Decentralized Data Centers are gaining traction in response to local special circumstances, data sovereignty regulations, and macroeconomic factors. The market is also influenced by the level of digitization, business leaders’ decisions, and competition in cloud technology. Hardware-related expenses, data security, and backups are key concerns for end-users. The market includes various data center systems, such as managed hosting, colocation, and public cloud, catering to the needs of B2B enterprises, online retail, e-commerce, and intelligent buildings. Big data and data analytics are essential for application performance and storage requirements. Mobile data use and internet usage continue to increase, leading to a growing demand for cloud data storage. The market is expected to follow an S-curve function with exponential trend smoothing, influenced by exchange rates and the growth of hyper-scale platforms.

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

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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 

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SOURCE BinBase

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

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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

 

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Applied Intuition Launches Dana, the Agentic Platform for Physical AI

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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.

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SOURCE Applied Intuition, Inc.

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