통신 네트워크 자산 관리 소프트웨어 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the telecom network inventory management software market size was valued at USD 3.84 billion in 2025 and estimated to grow from USD 4.18 billion in 2026 to reach USD 6.82 billion by 2031, at a CAGR of 10.29% during the forecast period (2026-2031).

This report is Segmented by Component (Software, and Services), Deployment Mode (Cloud-Based, and On-Premises), Network Layer (Physical Network Inventory, and More), Application (Asset Management, and More), Organization Size (Large Enterprises, and SMEs), End-User (Telecommunications Operators, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Telecom Network Inventory Management Software Market Trends and Insights

5G, Open RAN, and Network Slicing Complexity

Open RAN separates the centralized, distributed, and radio units, so operators must maintain records across more network elements and suppliers. This model makes inventory accuracy more important because each relationship must be visible before an operator can plan or change a service. Nokia stated in June 2026 that its Autonomous Networks Suite achieved automation rates above 90% and reduced slice rollout time by up to 85% in its demonstration environment. These outcomes depend on a current inventory layer that connects the radio, transport, and core domains. The O-RAN Software Community framework also defines topology and inventory requirements for managing the lifecycle of network slices. Multi-vendor 5G standalone deployments, therefore, encourage operators to replace or extend older inventory platforms sooner than they would have during previous network upgrades.

Cloud-Native and Hybrid Network Expansion

Cloud-native network functions can start, change, and end much faster than physical network equipment. Inventory systems designed around serial numbers and rack locations do not provide a complete view of these changing workloads. Operators running physical infrastructure alongside virtual and cloud-native network functions need a unified way to connect physical, logical, and service information. Nokia announced in June 2026 that its Autonomous Networks Fabric, which includes unified inventory, orchestration, and assurance, will run natively on AWS. The announcement shows that suppliers are increasingly directing product development toward cloud-hosted network operations platforms. On-premises systems remain relevant where data sovereignty, security, or customized models require them, but vendors are placing more development resources behind cloud-native offerings.

Legacy OSS and BSS Integration Complexity

Many operators still use separate inventory systems for mobile, fixed, and transport networks. These systems often connect to other OSS and BSS tools via point-to-point interfaces rather than flexible, event-driven ones. Complex integrations and testing cycles can slow changes in live operator environments, where each change carries a risk of service disruption. Netcracker's BICS modernization milestone in March 2026 included upgrades to resource inventory, service inventory, discovery and reconciliation, planning, and design. Such projects illustrate why operators often opt for phased modernization rather than a full replacement. This approach controls service risk but can delay the benefits of a fully integrated inventory architecture.

Other drivers and restraints analyzed in the detailed report include:

1. Demand for Autonomous Network Operations
2. AI-Ready Inventory Data for Agentic Operations
3. Data Quality and Inventory Reconciliation Gaps

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

Segment Analysis

Software held 69.42% of the Telecom Network Inventory Management Software Market share in 2025. Large operators favor software platforms because they provide persistent inventory records and data models that support multi-year network programs. These platforms can be delivered through subscription or license arrangements, which gives operators a predictable basis for budgeting. The Telecom Network Inventory Management Software Market size for software reflects its role as an operating foundation rather than a temporary project tool. Established suppliers benefit from this role because customers depend on their platforms for ongoing discovery, planning, activation, and assurance. A software platform also becomes harder to replace after its models and interfaces are embedded across multiple network domains.

Services are projected to grow at an 11.42% CAGR from 2026 to 2031. Migration, data cleansing, reconciliation, adapter configuration, and cloud-native function modeling are major parts of a large transformation project. Operators often need external support because internal teams may lack sufficient experience with complex inventory migrations. Accenture, Infosys Limited, and Tata Consultancy Services Limited compete with traditional OSS vendors for services-led projects. This is especially relevant where operators prefer managed services over direct software ownership. The trend places greater pressure on dedicated OSS vendors to pair their software with implementation capability.

Cloud-based deployments accounted for 61.84% of revenue in 2025. This lead reflects the alignment between cloud-native inventory architectures and TM Forum's composable Open Digital Architecture approach. Cloud delivery supports regular model updates and shared access across operational teams. It also allows capacity to expand during demanding reconciliation and discovery tasks. Nokia's June 2026 AWS announcement positioned unified inventory as part of a cloud-native fabric for inventory, orchestration, and assurance. These capabilities strengthen the role of cloud deployment in the Telecom Network Inventory Management Software Market.

Cloud platforms can more readily integrate with the data, AI, and automation services used by telecommunications operators. They can also support multi-tenant access for organizations with distributed operations. On-premises deployments remain necessary for operators with data sovereignty requirements, high-security environments, or deeply customized models. These deployments may also stay in place where replacement creates a high integration risk. However, the installed on-premises base is becoming more of a retention opportunity than a growth opportunity. The direction of supplier development indicates that new capabilities will increasingly arrive first in cloud-native products.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • Cloud-Based
  • On-Premises
• By Network Layer and Inventory Type
  • Physical Network Inventory
  • Active Network Equipment
  • Service Inventory
• By Application
  • Asset and Resource Management
  • Configuration Management
  • Network Planning and Design
  • Capacity and Utilization Management
  • Service Provisioning and Fulfillment
  • Other Applications
• By Organization Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises
• By End-User
  • Telecommunications Operators
  • Internet Service Providers
  • Cable and Broadband Service Providers
  • Mobile Network Operators
  • Fixed-Line Network Operators
  • Other End-Users
• 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
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Rest of Africa

Geography Analysis

North America held 34.72% of the Telecom Network Inventory Management Software Market share in 2025. The region benefits from the scale of Tier-1 5G standalone programs and mature OSS replacement cycles. AT&T announced a USD 250 billion multi-year connectivity plan in March 2026 targeting 40 million U.S. homes through fiber expansion, 5G, and AI-enabled services. The U.S. BEAD program allocates USD 42.45 billion for broadband deployment through 2029. These investments increase outside-plant inventory requirements in urban, rural, and underserved areas. Aging platforms from earlier 3G and 4G programs also support replacement activity.

Europe remained the second-largest region in the supplied analysis. Fiber expansion, copper network retirement, and mature operator modernization programs create demand for physical network records and integration services. European operators also face a high concentration of older OSS systems, which makes phased replacement a common approach. The emphasis on data sovereignty can preserve demand for on-premises or hybrid deployments in specific markets. At the same time, the need to coordinate fixed and mobile assets favors unified inventory platforms. The region's established operations teams are also active in the shift toward autonomous network models.

Asia-Pacific is expected to grow at an 11.94% CAGR from 2026 to 2031. China had deployed 4.2 million 5G base stations, and India's fixed broadband subscriptions were projected to double to 95.8 million by 2029 in the supplied material. South Korea's early 5G standalone commercialization supports demand for inventory systems that contribute to network automation. Nokia and NTT DOCOMO have worked on SMO-driven autonomy, including non-real-time RIC functionality for slicing and autonomous RAN management. South America, the Middle East, and Africa have smaller current shares but are supported by fiber, cloud, AI, and multi-tenant connectivity projects. These regions can benefit from cloud-hosted delivery because it reduces upfront capital requirements for operators with constrained balance sheets.

1. Telefonaktiebolaget LM Ericsson
2. Nokia Corporation
3. Amdocs Limited
4. Netcracker Technology Corporation
5. Oracle Corporation
6. Ciena Corporation
7. Huawei Technologies Co., Ltd.
8. Comarch S.A.
9. ServiceNow, Inc.
10. Cisco Systems, Inc.
11. International Business Machines Corporation
12. SAP SE
13. NEC Corporation
14. Fujitsu Limited
15. Hewlett Packard Enterprise Company
16. Infosys Limited
17. Tata Consultancy Services Limited
18. Accenture plc
19. Cerillion plc
20. Sunvizion Sp. z o.o.
21. FNT GmbH
22. VertiGIS GmbH
23. VC4 B.V.
24. Enghouse Systems Limited

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 Market Drivers
  • 4.2.1 5G, Open RAN, and Network Slicing Complexity
  • 4.2.2 Cloud-Native and Hybrid Network Expansion
  • 4.2.3 Demand for Autonomous Network Operations
  • 4.2.4 Fiber and Fixed Access Network Rollouts
  • 4.2.5 Network-as-a-Service and Multi-Tenant Resource Management
  • 4.2.6 AI-Ready Inventory Data for Agentic Operations
• 4.3 Market Restraints
  • 4.3.1 Legacy OSS and BSS Integration Complexity
  • 4.3.2 Data Quality and Inventory Reconciliation Gaps
  • 4.3.3 Cybersecurity Exposure from Centralized Network Topology Data
  • 4.3.4 Shortage of Telecom Inventory Modernization Expertise
• 4.4 Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud-Based
  • 5.2.2 On-Premises
• 5.3 By Network Layer and Inventory Type
  • 5.3.1 Physical Network Inventory
  • 5.3.2 Active Network Equipment
  • 5.3.3 Service Inventory
• 5.4 By Application
  • 5.4.1 Asset and Resource Management
  • 5.4.2 Configuration Management
  • 5.4.3 Network Planning and Design
  • 5.4.4 Capacity and Utilization Management
  • 5.4.5 Service Provisioning and Fulfillment
  • 5.4.6 Other Applications
• 5.5 By Organization Size
  • 5.5.1 Large Enterprises
  • 5.5.2 Small and Medium-Sized Enterprises
• 5.6 By End-User
  • 5.6.1 Telecommunications Operators
  • 5.6.2 Internet Service Providers
  • 5.6.3 Cable and Broadband Service Providers
  • 5.6.4 Mobile Network Operators
  • 5.6.5 Fixed-Line Network Operators
  • 5.6.6 Other End-Users
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Rest of South America
  • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Russia
    • 5.7.3.7 Rest of Europe
  • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 Japan
    • 5.7.4.3 India
    • 5.7.4.4 South Korea
    • 5.7.4.5 Australia
    • 5.7.4.6 Rest of Asia-Pacific
  • 5.7.5 Middle East
    • 5.7.5.1 Saudi Arabia
    • 5.7.5.2 United Arab Emirates
    • 5.7.5.3 Turkey
    • 5.7.5.4 Rest of Middle East
  • 5.7.6 Africa
    • 5.7.6.1 South Africa
    • 5.7.6.2 Egypt
    • 5.7.6.3 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 Telefonaktiebolaget LM Ericsson
  • 6.4.2 Nokia Corporation
  • 6.4.3 Amdocs Limited
  • 6.4.4 Netcracker Technology Corporation
  • 6.4.5 Oracle Corporation
  • 6.4.6 Ciena Corporation
  • 6.4.7 Huawei Technologies Co., Ltd.
  • 6.4.8 Comarch S.A.
  • 6.4.9 ServiceNow, Inc.
  • 6.4.10 Cisco Systems, Inc.
  • 6.4.11 International Business Machines Corporation
  • 6.4.12 SAP SE
  • 6.4.13 NEC Corporation
  • 6.4.14 Fujitsu Limited
  • 6.4.15 Hewlett Packard Enterprise Company
  • 6.4.16 Infosys Limited
  • 6.4.17 Tata Consultancy Services Limited
  • 6.4.18 Accenture plc
  • 6.4.19 Cerillion plc
  • 6.4.20 Sunvizion Sp. z o.o.
  • 6.4.21 FNT GmbH
  • 6.4.22 VertiGIS GmbH
  • 6.4.23 VC4 B.V.
  • 6.4.24 Enghouse Systems Limited

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment