네트워크 클라우드 비용 최적화 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the network cloud cost optimization market size was valued at USD 1.85 billion in 2025 and is estimated to grow from USD 2.23 billion in 2026 to reach USD 4.79 billion by 2031, at a CAGR of 16.52% during the forecast period (2026-2031).

This report is Segmented by Component (Solutions, and Services), Deployment Mode (Cloud, and On Premise), Organization Size (Large Enterprises, and Small and Medium Enterprises), Application (Cloud Resource Rightsizing, and More), End-User (Information Technology and Telecommunications, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Network Cloud Cost Optimization Market Trends and Insights

Multi-Cloud and Hybrid-Cloud Cost Complexity

Organizations are using more than one cloud environment, which makes it harder to assign ownership of resource and data-transfer costs. Flexera reported that 73% of surveyed enterprises operated hybrid environments in 2026. Mergers, decentralized purchasing, and growth in software-as-a-service use can add accounts, billing formats, and untagged resources to these environments. Cloud teams therefore need one view of usage, commitments, and traffic costs across providers. The Network cloud cost optimization market gains from this need because individual provider dashboards do not fully address cross-cloud allocation. European switching rules also make data-transfer economics more relevant when organizations compare vendor options.

Growth of AI and Data-Intensive Network Workloads

AI workloads place greater pressure on cloud budgets because they can require expensive GPUs, large datasets, and high volumes of data movement. CAST AI found that CPU utilization averaged 8% across the production Kubernetes deployments it analyzed in 2026. The same analysis reported that GPU utilization was 5%, showing that expensive capacity can remain underused. The FinOps Foundation reported that 98% of respondents managed AI spend in 2026, compared with 63% in 2025. The Network cloud cost optimization market is responding with tools that measure GPU use, allocate AI spending, and identify data-transfer charges. Demand is moving toward platforms that can assign inference and infrastructure costs to products, customers, and business units.

Shortage of Certified FinOps and Cloud-Networking Talent

The shortage of people who understand both cloud billing and network operations can slow the deployment of network-focused cost tools. The FinOps Foundation found that enterprises managing more than USD 100 million in annual cloud spend had 8-10 FinOps practitioners on average in 2026. These teams must cover allocation, reporting, commitments, engineering engagement, and increasingly AI spending. Organizations without an established FinOps practice may have difficulty interpreting results or setting effective policies. Bitkom found that 64% of cloud-using enterprises in Germany reported rising cloud operating costs in 2025. Managed services can address this gap, although buyers still need internal accountability for cost and application decisions.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Demand for FinOps and Cloud Financial Governance
2. Need for Real-Time Network Egress and Traffic-Path Economics
3. Fragmented Billing, Tagging, and Network-Telemetry Data

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Solutions held 65.15% of component revenue in 2025, supported by the installed base of visibility, rightsizing, traffic analytics, and planning tools used across complex cloud estates. Services are projected to grow at an 18.46% CAGR through 2031 as buyers seek assistance in applying recommendations across finance, engineering, and operations teams. Managed FinOps, consulting, implementation, and support help organizations convert billing data into sustained operating changes and establish clear accountability for those changes. Earlier adopters of dashboards increasingly need help with commitment management, tagging practices, business-unit allocation, and recurring reporting routines. This shift favors vendors that can combine software with expert delivery while adapting services to each customer's operating model.

The Network cloud cost optimization industry is moving from tool deployment toward recurring execution and governance. IBM's Apptio unit launched Conversational Insights in June 2026 with hybrid IT cost management and cloud optimization capabilities. The product connects cost, consumption, value, and action through Apptio's Financial Intelligence Layer. FOCUS adoption can also influence service selection because enterprises want support for normalized cloud cost data that can be used across multiple providers. The Network cloud cost optimization market can benefit when vendors pair integrated software with accountable service delivery and measurable follow-through.

Cloud deployment held 71.56% of the Network cloud cost optimization market in 2025, reflecting the large share of workloads already operating in public cloud environments. On-premises deployment is projected to grow at an 18.32% CAGR through 2031. Cloud delivery can reduce setup effort, simplify connections across multiple accounts, and provide a consistent experience for distributed teams. It also gives teams faster access to product updates, managed capabilities, and provider integrations. These advantages sustain cloud deployment as the leading model for organizations that can use externally hosted software.

On-premises use is growing because some organizations cannot export billing or operational data to an external software-as-a-service environment. Financial services, public-sector, and defense-related organizations may operate private or sovereign cloud infrastructure with requirements for tighter control over telemetry and access. Hybrid environments increase the need for a tool that works across public and private estates without creating separate cost-governance processes. Flexera reported that 73% of surveyed enterprises operated hybrid environments in 2026. The Network cloud cost optimization market must support both hosted and customer-managed implementations.

Complete Report Scope:

• By Component
  • Solutions
    • Cost Monitoring and Visibility
    • Network Traffic and Egress Analytics
    • Resource Rightsizing and Workload Optimization
    • Budgeting, Forecasting, and Allocation
  • Services
    • Managed FinOps and Optimization Services
    • Consulting and Implementation Services
    • Support and Maintenance Services
• By Deployment Mode
  • Cloud
  • On Premise
• By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Application
  • Network Egress and Data-Transfer Optimization
  • Kubernetes and Container Cost Management
  • Cloud Resource Rightsizing
  • Commitment and Discount Management
  • Other Applications
• By End-User Industry
  • Information Technology and Telecommunications
  • Banking, Financial Services, and Insurance
  • Retail and E-Commerce
  • Healthcare and Life Sciences
  • Manufacturing and Industrial
  • Other End-User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia and New Zealand
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Turkey
    • Israel
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Egypt
    • Rest of Africa

Geography Analysis

North America held 37.45% of the Network cloud cost optimization market share in 2025, supported by a high concentration of large cloud consumers and mature FinOps practices. Flexera reported that 76% of large U.S. enterprises spent more than USD 5 million monthly on cloud services in 2026. The region has a dense base of optimization vendors and cloud platform users, while AI infrastructure spending is adding demand for granular allocation and network egress controls. Canada supports demand through financial services adoption, while Mexico is developing early-stage cost-governance needs as cloud use expands.

Europe is shaped by compliance requirements and regional data-location choices. The Data Act supports conditions for switching between data-processing services, making portability and transfer costs relevant in cloud decisions, while Bitkom found that 64% of cloud-using enterprises in Germany reported rising operating costs in 2025 and 54% expected further increases in 2026.Germany, France, the United Kingdom, Italy, and Spain are important adoption markets, while Russian activity is constrained by geopolitical factors that affect access to mainstream hyperscaler infrastructure. The Network cloud cost optimization market needs to address regional governance requirements as well as cost allocation.

Asia-Pacific is projected to grow at an 18.51% CAGR through 2031 as enterprises formalize FinOps practices alongside rapid public-cloud adoption. CAST AI launched a Mumbai region in June 2026 with in-country support and feature parity with its global regions. India represents a developing demand center for enterprise cloud optimization. Japan and South Korea offer high-value opportunities where financial governance practices and complex Kubernetes estates support formal programs. South America is developing through Brazil and Argentina, while the Middle East and Africa remain earlier-stage areas linked to expanding cloud infrastructure and digitalization programs. The Network cloud cost optimization market has room to grow where cloud investment is rising faster than cost-management maturity.

1. IBM Corporation
2. Broadcom Inc.
3. Flexera Software LLC
4. CloudZero, Inc.
5. Harness, Inc.
6. Amazon Web Services, Inc.
7. Microsoft Corporation
8. Google LLC
9. ServiceNow, Inc.
10. Kubecost
11. Densify Inc.
12. nOps, Inc.
13. Yotascale, Inc.
14. Finout Ltd.
15. CAST AI Group Inc.
16. Datadog, Inc.
17. DoiT International
18. Oracle Corporation
19. Nutanix, Inc.
20. PointFive
21. Zesty Ltd.
22. CloudBolt Software, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Impact of Macroeconomic Factors on the Market
• 4.3 Market Drivers
  • 4.3.1 Multi-Cloud and Hybrid-Cloud Cost Complexity
  • 4.3.2 Growth of AI and Data-Intensive Network Workloads
  • 4.3.3 Rising Demand for FinOps and Cloud Financial Governance
  • 4.3.4 Need for Real-Time Network Egress and Traffic-Path Economics
  • 4.3.5 FinOps-as-Code and Automated Policy Enforcement
  • 4.3.6 Expansion of Cloud Optimization into SaaS, Kubernetes, and Private Infrastructure
• 4.4 Market Restraints
  • 4.4.1 Shortage of Certified FinOps and Cloud-Networking Talent
  • 4.4.2 Fragmented Billing, Tagging, and Network-Telemetry Data
  • 4.4.3 Opaque Egress, Inter-Region, and Cross-Cloud Pricing
  • 4.4.4 Risk of Automated Remediation Affecting Application Performance
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS

• 5.1 By Component
  • 5.1.1 Solutions
    • 5.1.1.1 Cost Monitoring and Visibility
    • 5.1.1.2 Network Traffic and Egress Analytics
    • 5.1.1.3 Resource Rightsizing and Workload Optimization
    • 5.1.1.4 Budgeting, Forecasting, and Allocation
  • 5.1.2 Services
    • 5.1.2.1 Managed FinOps and Optimization Services
    • 5.1.2.2 Consulting and Implementation Services
    • 5.1.2.3 Support and Maintenance Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud
  • 5.2.2 On Premise
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Network Egress and Data-Transfer Optimization
  • 5.4.2 Kubernetes and Container Cost Management
  • 5.4.3 Cloud Resource Rightsizing
  • 5.4.4 Commitment and Discount Management
  • 5.4.5 Other Applications
• 5.5 By End-User Industry
  • 5.5.1 Information Technology and Telecommunications
  • 5.5.2 Banking, Financial Services, and Insurance
  • 5.5.3 Retail and E-Commerce
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Manufacturing and Industrial
  • 5.5.6 Other End-User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia and New Zealand
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 Saudi Arabia
    • 5.6.5.2 United Arab Emirates
    • 5.6.5.3 Turkey
    • 5.6.5.4 Israel
    • 5.6.5.5 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Egypt
    • 5.6.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 IBM Corporation
  • 6.4.2 Broadcom Inc.
  • 6.4.3 Flexera Software LLC
  • 6.4.4 CloudZero, Inc.
  • 6.4.5 Harness, Inc.
  • 6.4.6 Amazon Web Services, Inc.
  • 6.4.7 Microsoft Corporation
  • 6.4.8 Google LLC
  • 6.4.9 ServiceNow, Inc.
  • 6.4.10 Kubecost
  • 6.4.11 Densify Inc.
  • 6.4.12 nOps, Inc.
  • 6.4.13 Yotascale, Inc.
  • 6.4.14 Finout Ltd.
  • 6.4.15 CAST AI Group Inc.
  • 6.4.16 Datadog, Inc.
  • 6.4.17 DoiT International
  • 6.4.18 Oracle Corporation
  • 6.4.19 Nutanix, Inc.
  • 6.4.20 PointFive
  • 6.4.21 Zesty Ltd.
  • 6.4.22 CloudBolt Software, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment