Saudi Arabia Data Center Colocation Market by Service Type (Traditional and Managed), Service Scale (Retail and Wholesale), Workload Type (General Purpose IT and HPC & AI), End User (Enterprises and Hyperscalers) with Impact of AI/GenAI - Forecast to 2030

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USD 1982.6
MARKET SIZE, 2030
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CAGR 15.9%
(2025-2030)
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178
REPORT PAGES
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147
MARKET TABLES

OVERVIEW

saudi-arabia-data-center-colocation-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The data center colocation market in Saudi Arabia is projected to grow from USD 949.6 million in 2025 to USD 1,982 million by 2030, at a CAGR of 15.9%. Growth reflects rising deployment of AI workloads, hyperscale cloud regions, high-density power infrastructure, advanced cooling systems, and interconnection-rich campuses supporting hybrid enterprise architectures.

KEY TAKEAWAYS

  • Saudi Arabia Data Center Colocation Market, By Service Scale
    Wholesale colocation is fastest-growing service scale in Saudi Arabia, registering a CAGR of 21.5% during the forecast period.
  • By Service Type
    Managed colocation is the fastest-growing service type in the Saudi Arabia data center colocation market, registering a CAGR of 23.8%.
  • By Workload Type
    The HPC & AI segment is projected to register the highest CAGR of 17.4% in the Saudi Arabia data center colocation market.
  • By End User
    The hyperscalers segment is the fastest-growing end user.
  • By Organization Size
    The large enterprises segment is the fastest-growing organization size during the forecast period.
  • By Enterprise Vertical
    Manufacturing is the fastest-growing enterprise vertical segment in the Saudi Arabia data center colocation market.
  • Competitive Landscape- Key Players
    Equinix, Digital Realty, and Saudi Telecom Company (STC) lead Saudi Arabia market through dense interconnection and AI-ready campuses.
  • Competitive Landscape - Startups/SMEs
    Saudi Cloud Computing Company, Gulf Data Hub, and Mobily are expanding rapidly in Saudi Arabia through high-density, regulation-aligned campus developments.

The data center colocation market in Saudi Arabia is shifting as enterprises move toward scalable, high-density infrastructure to support cloud, AI, and data-intensive workloads. The highest demand is observed from hyperscale and large enterprise customers that require reliable power, dense interconnection, and rapid deployment. Operators are responding by developing high-power, energy-efficient campuses designed for compliance, resilience, and long-term growth, making colocation a core enabler of enterprise digital strategy.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

As AI continues to grow, the colocation market will enter a more disruptive era due to the pressure that AI places on available power and cooling capacity. The challenges of accessing the grid and dealing with lengthy permitting timelines impact how operators plan for their sites and capital expenditures. With many more edge deployments combined with data sovereignty requirements, operators are creating new models that focus on a large amount of distribution and local operations.

saudi-arabia-data-center-colocation-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Surging demand for AI-ready, high-density colocation capacity
  • Rapid expansion of cloud-adjacent and hyperscale colocation campuses
RESTRAINTS
Impact
Level
  • Power delivery constraints and extended utility interconnection timelines
  • Escalating construction costs and long equipment lead times
OPPORTUNITIES
Impact
Level
  • Growing enterprise adoption of hybrid and multicloud interconnection ecosystems
  • Rising demand for liquid-cooled and next-generation colocation facilities
CHALLENGES
Impact
Level
  • Severe shortage of skilled labor for advanced data center construction and operations
  • Retrofitting legacy data centers to support high-density AI workloads

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Surging demand for AI-ready, high-density colocation capacity

AI training and inference workloads are increasing demand for high-density colocation capacity across Saudi Arabia. Key growth hubs include Riyadh, Jeddah, and emerging secondary data center zones. Enterprises prioritize high-power racks, power blocks, and low-latency connectivity to cloud regions.

Restraint: Power delivery constraints and extended utility interconnection timelines

Power availability is one of the major hurdles for colocation markets in Saudi Arabia. Delays in utility interconnections, substation upgrades, and permitting requirements are leading to a rise in capital exposure and delayed revenue realization. They can also limit near-term capacity for power-intensive AI deployments.

Opportunity: Growing enterprise adoption of hybrid and multicloud interconnection ecosystems

Enterprises increasingly use colocation as an interconnection hub between on-premises infrastructure and public cloud platforms. Network providers also anchor these ecosystems. This supports demand for carrier-dense and cloud-adjacent campuses. It also enables low-latency data exchange and workload portability. These requirements make interconnection-focused colocation a durable growth opportunity.

Challenge: Retrofitting legacy data centers to support high-density AI workloads

A large share of installed colocation capacity was built for lower-density enterprise workloads. Upgrading sites for higher power densities often necessitates significant electrical and mechanical modifications. Liquid-cooling readiness can also require structural modifications. These retrofit programs increase capital intensity and execution risk. Risk is higher when upgrades occur in active production environments.

SAUDI ARABIA DATA CENTER COLOCATION MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Digital Realty worked with SAP to quickly grow SAP's global cloud infrastructure across more than 150 countries. SAP's own proprietary data centres were both slow and costly to expand, resulting in delays ranging from 12 to 24 months for deployment. SAP sought a colocation partner that could grow quickly, provide a global footprint, and offer flexibility in supporting hybrid models, sustainability goals, and gen AI workloads. 6× faster infrastructure scaling (18 months → 3 months) | Centralized global vendor engagement | 99.999% uptime | Green-certified deployments using 100% renewable energy | Faster cloud expansion across three continents | Improved operational flexibility and sustainability alignment
BMW partnered with NTT data to improve and automate its global colocation and network environment, supporting over 30,000 servers and approximately 1,000 WANs. BMW was looking for a very stable and independent global network operations with the cloud-based architecture that provides a "cloud ready" architecture to minimise any interruptions and follow the strictest processes and security standards. 85% faster server deployments | 99% accuracy in diagnosing issues | Reduced manual IT workloads | Improved service quality | Seamless integration of cloud-ready on-prem systems | Enhanced operational stability across 30,000+ servers and 40,000 network devices
CBS Interactive worked with Iron Mountain to replace an older colocation option that was not able to handle traffic spikes in the range of 15-18 GB/sec with a newer colocation option providing a scalable, energy-efficient solution that would provide 100% uptime, while allowing them to efficiently support applications used by their customers and meeting specific SLA requirements. State-of-the-art high-density colocation | 100% uptime SLA | Two-thirds reduction in colocation costs | Improved cooling through sealed racks and ultrasonic humidification | Enhanced energy efficiency | Disaster-resilient Phoenix facility optimized for long-term IT stability

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The Saudi Arabia data centers colocation market has two main types of providers: Carrier-Neutral, which allows you to connect to several networks, and Carrier-Owned, which provides colocation as part of a telecommunication service package. These two provider types, together, provide the ability to connect, grow, and develop your digital enterprise across various geographically dispersed locations.

saudi-arabia-data-center-colocation-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

saudi-arabia-data-center-colocation-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Saudi Arabia Data Center Colocation Market, By Service Scale

Retail colocation is the largest service-scale segment in Saudi Arabia. Enterprises favor flexible rack-level deployments. Predictable pricing supports cost control. Dense interconnection ecosystems improve cloud and network access. Rapid deployment timelines support hybrid-cloud strategies, reinforcing retail colocation as the preferred operating model.

Saudi Arabia Data Center Colocation Market, By Service Type

Traditional colocation remains the dominant service type in Saudi Arabia. Enterprises continue to rely on cabinet, cage, and power-based provisioning. Familiar operating models simplify management. Strong control and compatibility with legacy systems sustain demand from industries with stable and predictable workloads.

Saudi Arabia Data Center Colocation Market, By End User

Enterprises account for the largest share of the Saudi Arabia data center colocation market. Ongoing digital transformation is a primary driver of demand. Hybrid-cloud expansion is increasing infrastructure complexity. Rising compliance requirements are reinforcing the need for secure environments. Demand for scalable and cost-efficient infrastructure continues to strengthen enterprise reliance on colocation services.

Saudi Arabia Data Center Colocation Market, By Organization Size

Large enterprises lead colocation adoption in Saudi Arabia. They operate workloads across multiple regions. Governance and resiliency requirements are high. Larger IT budgets support sustained capacity investment. Continuous hybrid-cloud expansion makes large enterprises the primary revenue contributors.

Saudi Arabia Data Center Colocation Market, By Workload Type

General-purpose IT is the largest workload category. ERP, CRM, analytics, and storage migrations drive demand. Hybrid compatibility and steady compute requirements sustain dominance.

Saudi Arabia Data Center Colocation Market, By Enterprise Vertical

IT & ITeS is the leading enterprise vertical. Cloud consumption is high, and digital services are scaling rapidly in this vertical. Strong uptime, interconnection density, and scalable compute drive revenue leadership.

REGION

 

 

saudi-arabia-data-center-colocation-market Region

SAUDI ARABIA DATA CENTER COLOCATION MARKET: COMPANY EVALUATION MATRIX

The Company Evaluation Matrix categorizes colocation vendors into four distinct quadrants based on their market position and respective capabilities. Equinix is clearly the standout in the Stars quadrant as it has a very strong market presence and the largest portfolio of colocation service offerings. China Telecom is located in the Emerging Leaders quadrant, while the remaining vendors are positioned within the Participants and Pervasive Players quadrants, representing varying levels of scale and execution capabilities.

saudi-arabia-data-center-colocation-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 949.6 Million
Market Forecast in 2030 (Value) USD 1,982.6 Million
Growth Rate CAGR of 15.9% from 2025–2030
Years Considered 2020–2030
Base Year 2024
Forecast Period 2025–2030
Units Considered Value (USD Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, vendor positioning, segment-wise analysis, regional trends, technological developments, key commercial use cases, and growth factors
Segments Covered
  • By Service Scale:
    • Retail Colocation
    • Wholesale Colocation
  • By Workload Type:
    • General Purpose IT
    • High Performance Computing (HPC)
  • By Organization Size:
    • Large Enterprises
    • SMEs
  • By End User:
    • Hyperscalers
    • Enterprises (IT & ITeS
    • Telecommunications
    • BFSI
    • Government & Public Sector
    • Healthcare & Life Sciences
    • Retail & E-Commerce
    • Manufacturing
    • Energy & Utilities
    • Other Enterprises)

WHAT IS IN IT FOR YOU: SAUDI ARABIA DATA CENTER COLOCATION MARKET REPORT CONTENT GUIDE

saudi-arabia-data-center-colocation-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Cloud Service Provider
  • Benchmarking of cross-regional colocation pricing
  • Evaluation of SLA tiers, interconnection density, and power availability
  • Analysis of retail vs wholesale colocation fit for cloud workload distribution
  • Optimize regional expansion
  • Improve workload placement decisions
  • Reduce latency risks
  • Strengthen cloud-to-colo integration planning
Telecom Operator (Edge Deployments)
  • Identification of edge-ready colocation sites near fiber routes
  • Assessment of power redundancy and cooling at edge nodes
  • Benchmarking neutral vs carrier-owned facilities for MEC workloads
  • Faster edge rollout
  • Lower deployment costs
  • Improved network reliability
  • Selection of telco-grade colocation partners
Enterprise (IT, BFSI, Retail, Manufacturing)
  • Comparison of European colocation providers
  • Assessment of compliance, security certifications, and uptime SLAs
  • Analysis of migration costs, cross-connect pricing, and scalability across facilities
  • Reduce IT infra costs
  • Strengthen compliance and security posture
  • Improve multi-site workload reliability
  • Enable scalable hybrid-IT strategy

RECENT DEVELOPMENTS

  • November 2025 : Saudi AI firm Humain began construction of its first data centers in Riyadh and Dammam, each planned at up to 100MW. Facilities will use US-sourced AI chips, including NVIDIA Blackwell processors, and are scheduled to come online in early 2026.
  • November 2025 : Center3 and Sahara Net formed a strategic colocation partnership under which Sahara Net will deliver dedicated hosting services from center3’s data centers across Saudi Arabia. The collaboration expands carrier-neutral interconnection options, strengthens Saudi Arabia’s colocation ecosystem, and supports national digital-transformation goals under Vision 2030.
  • August 2025 : AMD and Cisco formed a joint venture with Saudi state-backed AI company Humain to deploy 1GW of AI infrastructure by 2030. The initiative combines Humain’s data centers with AMD GPUs and Cisco networking, starting with a 100MW deployment in Saudi Arabia.
  • May 2025 : Qualcomm and Saudi state-backed AI firm HUMAIN announced a Qualcomm AI Engineering Centre in Riyadh. Opening December 2025, the facility will support rollout of 200MW of AI-ready data centre capacity from 2026, accelerating edge-to-cloud AI deployment, ecosystem development, and local engineering capabilities.

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW
Presents a concise view of industry direction, strategic priorities, and key indicators influencing market momentum.
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
4.2.4
CHALLENGES
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3
 
 
 
5
INDUSTRY TRENDS
Provides a snapshot of current market scenario, value chain context, and factors impacting competitive intensity.
 
 
 
 
 
5.1
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
5.2.3
TRENDS IN SAUDI ARABIA DATA CENTER SOLUTIONS MARKET
 
 
 
 
5.2.4
TRENDS IN THE SAUDI ARABIA HYPERSCALE DATA CENTER MARKET
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SERVICE SCALE, (2022-2025)
 
 
 
 
5.5.2
AVERAGE SELLING PRICE TREND, BY SERVICE TYPE, (2022-2025)
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2024-2026
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
5.10
IMPACT OF 2025 US TARIFF- SAUDI ARABIA DATA CENTER COLOCATION MARKET
 
 
 
 
 
 
5.10.1
INTRODUCTION
 
 
 
 
5.10.2
KEY TARIFF RATES
 
 
 
 
5.10.3
PRICE IMPACT ANALYSIS
 
 
 
 
5.10.4
IMPACT ON REGION
 
 
 
 
 
5.10.4.1
SAUDI ARABIA
 
 
 
5.10.5
IMPACT ON END-USE INDUSTRIES
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY TECHNOLOGIES
 
 
 
 
 
6.1.1
POWER & COOLING INFRASTRUCTURE
 
 
 
 
6.1.2
REMOTE MONITORING AND DATA CENTER INFRASTRUCTURE MANAGEMENT
 
 
 
 
6.1.3
PHYSICAL SECURITY & ACCESS CONTROL SYSTEMS
 
 
 
 
6.1.4
INTERCONNECTION & CARRIER-NEUTRAL CONNECTIVITY
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
6.2.1
AI & MACHINE LEARNING FOR PREDICTIVE MAINTENANCE
 
 
 
 
6.2.2
LIQUID & IMMERSION COOLING
 
 
 
 
6.2.3
SOFTWARE-DEFINED WIDE AREA NETWORK (SD-WAN)
 
 
 
 
6.2.4
DATA CENTER AS A SERVICE (DCAAS)
 
 
 
6.3
ADJACENT TECHNOLOGY
 
 
 
 
 
6.3.1
PUBLIC & HYBRID CLOUD PLATFORMS
 
 
 
 
6.3.2
EDGE COMPUTING
 
 
 
 
6.3.3
CONTENT DELIVERY NETWORKS (CDNS)
 
 
 
 
6.3.4
ENTERPRISE STORAGE & BACKUP SOLUTIONS
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
IMPACT OF AI/GEN AI ON DATA CENTER COLOCATION MARKET
 
 
 
 
 
 
6.6.1
TOP USE CASE AND MARKET POTENTIAL
 
 
 
 
6.6.2
BEST PRACTICES FOLLOWED BY PROVIDERS IN SAUDI ARABIA DATA CENTER COLOCATION MARKET
 
 
 
 
6.6.3
CASE STUDIES RELATED TO AI IMPLEMENTATION IN THE SAUDI ARABIA DATA CENTER COLOCATION MARKET
 
 
 
 
6.6.4
INTERCONNECTED ECOSYSTEM AND IMPACT OF MARKET PLAYERS
 
 
 
 
6.6.5
CLIENT’S READINESS TO ADOPT AI-INTEGRATED DATA CENTER COLOCATION
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
SAUDI ARABIA REGULATIONS AND COMPLIANCE -
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
 
 
7.1.3
IMPACT OF REGULATORY POLICIES ON SUSTAINABILITY INITIATIVES
 
 
8
CUSTOMER LANDSCAPE & BUYING BEHAVIOR
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THE EVALUATION CRITERIA
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
 
8.3.3
ADOPTION BARRIERS AND INTERNAL CHALLENGES
 
 
 
 
8.3.4
UNMET NEEDS OF VARIOUS END-USE USER
 
 
9
DATA CENTER COLOCATION MARKET, BY SERVICE TYPE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
SERVICE TYPE WISE DEMAND POTENTIAL AND THE GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
9.2
TRADITIONAL COLOCATION
 
 
 
 
9.3
MANAGED COLOCATION
 
 
 
10
DATA CENTER COLOCATION MARKET, BY SERVICE SCALE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
SERVICE SCALE DEMAND POTENTIAL AND THE GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
10.2
RETAIL COLOCATION
 
 
 
 
10.3
WHOLESALE COLOCATION
 
 
 
11
DATA CENTER COLOCATION MARKET, BY WORKLOAD TYPE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
WORKLOAD TYPE WISE DEMAND POTENTIAL AND THE GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
11.2
HIGH PERFORMANCE COMPUTING
 
 
 
 
11.3
GENERAL PURPOSE IT
 
 
 
12
DATA CENTER COLOCATION MARKET, BY ORGANIZATION SIZE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
ORGANIZATION SIZE WISE DEMAND POTENTIAL AND THE GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
12.2
SMES
 
 
 
 
12.3
LARGE ENTERPRISES
 
 
 
13
DATA CENTER COLOCATION MARKET, BY END USER (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
ASSESSMENT OF END-USER-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS KEY INDUSTRY VERTICALS
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
13.2
HYPERSCALERS
 
 
 
 
13.3
ENTERPRISES
 
 
 
 
 
13.3.1
BANKING, FINANCIAL SERVICES, & INSURANCE
 
 
 
 
13.3.2
IT & ITES
 
 
 
 
13.3.3
GOVERNMENT & PUBLIC SECTOR
 
 
 
 
13.3.4
HEALTHCARE & LIFE SCIENCES
 
 
 
 
13.3.5
RETAIL & E-COMMERCE
 
 
 
 
13.3.6
MANUFACTURING
 
 
 
 
13.3.7
ENERGY & UTILITIES
 
 
 
 
13.3.8
OTHER ENTERPRISES
 
 
14
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
14.1
OVERVIEW
 
 
 
 
14.2
KEY PLAYER STRATEGIES/RIGHT TO WIN (2024)
 
 
 
 
14.3
REVENUE ANALYSIS (2020-2024)
 
 
 
 
 
14.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
14.5
PRODUCT COMPARISON
 
 
 
 
 
14.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
14.6.1
STARS
 
 
 
 
14.6.2
EMERGING LEADERS
 
 
 
 
14.6.3
PERVASIVE PLAYERS
 
 
 
 
14.6.4
PARTICIPANTS
 
 
 
 
14.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
14.6.5.1
COMPANY FOOTPRINT
 
 
 
 
14.6.5.2
SERVICE TYPE FOOTPRINT
 
 
 
 
14.6.5.3
SERVICE SCALE FOOTPRINT
 
 
 
 
14.6.5.4
WORKLOAD TYPE FOOTPRINT
 
 
 
 
14.6.5.5
END-USER FOOTPRINT
 
 
 
 
14.6.5.6
ENTERPRISE FOOTPRINT
 
 
14.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
14.7.1
PROGRESSIVE COMPANIES
 
 
 
 
14.7.2
RESPONSIVE COMPANIES
 
 
 
 
14.7.3
DYNAMIC COMPANIES
 
 
 
 
14.7.4
STARTING BLOCKS
 
 
 
 
14.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
14.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
14.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
14.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
14.9
COMPETITIVE SCENARIO
 
 
 
 
 
14.9.1
PRODUCT LAUNCHES
 
 
 
 
14.9.2
DEALS
 
 
 
 
14.9.3
EXPANSIONS
 
 
15
COMPANY PROFILES (IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN THE DATA CENTER COLOCATION MARKET)
 
 
 
 
 
15.1
EQUINIX
 
 
 
 
15.2
DIGITAL REALTY
 
 
 
 
15.3
NTT DATA
 
 
 
 
15.4
QTS DATA CENTERS
 
 
 
 
15.5
KDDI CORPORATION
 
 
 
 
15.6
IRON MOUNTAIN
 
 
 
 
15.7
CHINA TELECOM CORPORATION LTD
 
 
 
 
15.8
CYRUSONE
 
 
 
 
15.9
CENTERSQUARE
 
 
 
 
15.10
VANTAGE DATA CENTERS
 
 
 
 
15.11
DATABANK
 
 
 
 
15.12
EDGECONNEX
 
 
 
 
15.13
SWITCH
 
 
 
 
15.14
CORESITE
 
 
 
 
15.15
ALIGNED DATA CENTERS
 
 
 
16
RESEARCH METHODOLOGY
 
 
 
 
 
16.1
RESEARCH DATA
 
 
 
 
 
16.1.1
SECONDARY DATA
 
 
 
 
 
16.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
16.1.1.2
LIST OF KEY SECONDARY SOURCES
 
 
 
16.1.2
PRIMARY DATA
 
 
 
 
 
16.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
16.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
16.1.2.3
BREAKUP OF PRIMARIES INTERVIEWS
 
 
 
 
16.1.2.4
KEY INDUSTRY INSIGHTS
 
 
16.2
MARKET SIZE ESTIMATION
 
 
 
 
 
16.2.1
BOTTOM-UP APPROACH
 
 
 
 
16.2.2
TOP-DOWN APPROACH
 
 
 
 
16.2.3
MARKET SIZE CALCULATION FOR BASE YEAR
 
 
 
16.3
MARKET FORECAST APPROACH
 
 
 
 
 
16.3.1
SUPPLY SIDE
 
 
 
 
16.3.2
DEMAND SIDE
 
 
 
16.4
DATA TRIANGULATION
 
 
 
 
16.5
FACTOR ANALYSIS
 
 
 
 
16.6
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
16.7
RISK ASSESSMENT
 
 
 
17
APPENDIX
 
 
 
 
 
17.1
DISCUSSION GUIDE
 
 
 
 
17.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
17.3
CUSTOMIZATION OPTIONS
 
 
 
 
17.4
RELATED REPORTS
 
 
 
 
17.5
AUTHOR DETAILS
 
 
 

Methodology

This research study on the saudi arabia data center colocation market involved extensive secondary sources, directories, IEEE Communication-Efficient: Algorithms and Systems, International Journal of Innovation and Technology Management, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred saudi arabia data center colocation service providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors’ websites. Additionally, the saudi arabia data center colocation spending of various countries was extracted from the respective sources.

Primary Research

In the primary research process, various primary sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, such as Chief Experience Officers (CXOs), Vice Presidents (VPs), and directors specializing in business development, marketing, and saudi arabia data center colocation service providers. It also included key executives from saudi arabia data center colocation vendors, system integrators (SIs), professional service providers, industry associations, and other key opinion leaders.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the saudi arabia data center colocation market. The first approach involved estimating the market size by companies’ revenue generated through the sale of saudi arabia data center colocation services.

Market Size Estimation Methodology- Top-down approach

The top-down approach prepared an exhaustive list of all the vendors offering products in the saudi arabia data center colocation market. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on platform, degree of customization, type, application, end user, and region. The markets were triangulated through primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of saudi arabia data center colocation services among different verticals in key countries concerning their regions contributing the most to the market share was identified. For cross-validation, the adoption of saudi arabia data center colocation services among enterprises, along with different use cases for their regions, was identified and extrapolated. Weightage was given to use cases identified in different areas for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included an analysis of the saudi arabia data center colocation market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of major saudi arabia data center colocation providers, and organic and inorganic business development activities of regional and global players were estimated.

Saudi Arabia Data Center Colocation Market : Top-Down and Bottom-Up Approach

Saudi Arabia Data Center Colocation Market Top Down and Bottom Up Approach

Data Triangulation

After determining the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. Data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

The saudi arabia data center colocation market refers to the segment where businesses rent space, power, cooling, and connectivity within third-party data center facilities to host their own servers, storage, and networking equipment. Colocation providers offer physical security, redundant power and cooling systems, and access to multiple network carriers, allowing different enterprises to operate in a shared yet secure environment while maintaining control over their infrastructure. This model enables companies to reduce capital expenditures, improve uptime and scalability, and meet compliance requirements more effectively. The market is expanding due to the rising adoption of cloud computing, big data analytics, and IoT, along with a growing emphasis on modular infrastructure and sustainable operations.

Stakeholders

  • Saudi arabia data center colocation service providers 
  • Hyperscalers & Cloud service providers
  • Networking companies
  • Information technology (IT) infrastructure providers
  • Consultants/Consultancies/Advisory firms
  • Component providers
  • Telecom service providers
  • System integrators (SIs)
  • Support and maintenance service providers
  • Support service providers
  • Third-party providers
  • Government organizations and standardization bodies
  • Datacenter providers
  • Regional associations
  • Independent hardware and software vendors
  • Value-added resellers and distributors

Report Objectives

  • To define, describe, and forecast the saudi arabia data center colocation market based on service type, service scale, workload type, organization size, end user, and region
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To provide detailed information related to the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze macro and micro markets concerning growth trends, prospects, and their contribution to the overall market
  • To analyze industry trends, patents and innovations, and pricing data related to the market
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for major players
  • To profile key players in the market and comprehensively analyze their market share/ranking and core competencies
  • To track and analyze competitive developments, such as mergers & acquisitions, product developments, and partnerships & collaborations in the market

Available Customizations

With the given market data, MarketsandMarkets offers customizations to meet the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company’s product portfolio.

Geographic Analysis as per Feasibility

  • Further breakup of the North American saudi arabia data center colocation market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle East & Africa market
  • Further breakup of the Latin American saudi arabia data center colocation market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

 

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Growth opportunities and latent adjacency in Saudi Arabia Data Center Colocation Market

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