통신 네트워크 에너지 효율화 소프트웨어 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the telecom network energy efficiency software market size was valued at USD 1.37 billion in 2025 and is forecast to reach USD 3.64 billion by 2031 at a CAGR of 17.87% from 2026 to 2031.

This report is Segmented by Component (Software, and Services), Solution Type (Energy Monitoring and Visibility Software, Energy Analytics and Reporting Software, and More), Deployment Mode (Cloud/SaaS, On-Premises, and Hybrid), End User (Mobile Network Operators, Network Infrastructure Providers, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Telecom Network Energy Efficiency Software Market Trends and Insights

Rising 5G RAN Energy Intensity

The telecom network energy efficiency software market is expanding because 5G creates a heavier energy burden than earlier network generations. Higher use of Massive MIMO and denser urban network layers is increasing site-level power needs and raising the cost of operating live networks. A 2025 study showed that 5G energy demand in the United Kingdom could rise sharply by 2030 under different traffic scenarios, with especially high consumption density in urban areas. That operating pattern makes static hardware settings less effective, because demand growth alone does not translate into efficient energy use. The telecom network energy efficiency software market is therefore seeing stronger demand for software that can orchestrate sleep modes, carrier shutdown, and site-level optimization across diverse equipment environments. Vendors that can operate above vendor-specific network management layers are in a stronger position when operators seek savings across mixed estates rather than within a single hardware stack.

AI-Driven Closed-Loop Power Saving Gains

The telecom network energy efficiency software market is also advancing, as AI-based closed-loop tools are now being deployed in live operator environments rather than remaining in pilot phases. Ericsson said its Intelligent Energy Efficiency capabilities reduced daily 5G radio unit power consumption by up to 33% at selected Vodafone UK sites during a 2025 trial. That result matters because it ties software decisions directly to measurable energy outcomes at the radio layer. It also raises switching costs over time, since optimization tools improve as they learn traffic patterns and configuration behavior from each operator's network. The telecom network energy efficiency software market is likely to reward vendors that secure early production deployments and then build a wider service relationship around those models. This is one reason the strongest incumbents are pairing AI software with automation platforms and managed delivery support.

Integration Complexity Across OSS, RAN, And Power Systems

The telecom network energy efficiency software market still faces a significant adoption barrier because energy platforms must connect to OSS environments, RAN systems, and site power infrastructure that often use different data standards. This creates a long engineering cycle before operators can trust savings estimates or automate control actions at scale. Ericsson and Nokia acknowledged this issue in March 2026 when they expanded cooperation across the rApp Ecosystem and SMO Marketplace to improve cross-vendor interoperability for autonomous network applications. That move shows that even leading suppliers see integration friction as a broad market constraint rather than a one-off customer problem. In the telecom network energy efficiency software market, long integration periods can delay budget decisions because operators measure deployment cost through internal engineering time as much as through license fees. This slows rollout even when the business case for lower power consumption is already visible.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud SaaS Adoption for Multi-Vendor Network Operations
2. ESG Reporting and Net-Zero Compliance Pressure
3. Legacy Site Telemetry And Metering Gaps

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

Segment Analysis

Software accounted for 69.45% of revenue in 2025, making it the core revenue driver of the telecom network energy efficiency software market. This reflected the central role of licensed monitoring, analytics, optimization, and automation platforms in operator spending. Services are projected to grow at an 18.25% CAGR from 2026 to 2031, as operators rely more on integration support, managed optimization, and ongoing model maintenance. The telecom network energy efficiency software market size for software remained larger because most deployments still begin with a platform decision before operators expand into wider managed engagements. Nokia has already positioned its offering around continuous retraining and AI maintenance, which supports the idea that software and services are increasingly moving together rather than competing for the same budget line.

That shift matters for competitive behavior in the telecom network energy efficiency software industry because managed delivery can make vendor relationships more durable after the first implementation stage. Once a provider becomes part of weekly reporting, savings validation, and operating workflows, the cost of switching is no longer limited to replacing software. Staff retraining, service-level alignment, and model reconfiguration are also included in the exit cost. This supports recurring revenue concentration among suppliers that entered live deployments early in 2024 and 2025. In the telecom network energy efficiency software market, services are therefore closing the monetization gap by extending account value after the initial platform sale. The result is a component mix where software anchors present revenue and services support deeper account retention over time.

Energy Monitoring and Visibility Software held 28.74% of the telecom network energy efficiency software market share in 2025, while AI-Based Power Optimization Software is projected to grow at an 18.65% CAGR through 2031. Monitoring led because operators need a stable observability layer before they can trust analytics, optimization, or automation. That sequence gives monitoring vendors an early advantage, since the first system to collect and organize site data often shapes later purchasing decisions. At the same time, AI optimization is attracting stronger budgets because it links software actions more directly to power savings in live networks. The telecom network energy efficiency software market for AI-based power optimization is growing as operators move beyond visibility and seek repeatable efficiency gains from dynamic network control.

Energy Analytics and Reporting Software is also gaining importance because operators increasingly need auditable outputs for emissions and energy governance. That broadens the role of analytics from an internal operational tool to an external reporting requirement. Energy Management and Automation Software is developing in parallel, especially as operators seek to move software from recommendation to execution. In May 2026, Rakuten Mobile and KDDI were selected for a NEDO-backed program that aims to reduce the power consumption of virtualized base stations and mobile data centers by 40% by 2030, underscoring the scale of automation ambition now building in the sector. The telecom network energy efficiency software market, therefore, supports multiple solution layers simultaneously, because operators enter the stack at different maturity points rather than following a single uniform path. This layered structure reduces the chance that one solution type fully displaces the others.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Solution Type
  • Energy Monitoring and Visibility Software
  • Energy Analytics and Reporting Software
  • AI-Based Power Optimization Software
  • Energy Management and Automation Software
• By Deployment Mode
  • Cloud/SaaS
  • On-Premises
  • Hybrid
• By End User
  • Mobile Network Operators
  • Tower Companies
  • Internet Service Providers
  • Network Infrastructure Providers
• 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
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa

Geography Analysis

Europe held 34.56% of the telecom network energy efficiency software market share in 2025, which made it the leading regional contributor. The region's position was supported by a stronger policy framework, more visible operator sustainability programs, and earlier commercialization of AI-based energy tools. The European Commission Joint Research Center published the Code of Conduct for the Sustainability of Telecommunications Networks in January 2026, which strengthened the compliance backdrop for network efficiency decisions. BEREC also added support through its infrastructure-sharing framework, which reinforced the region's push toward more efficient network design and operation. Deutsche Telekom, Telia, and Tele2 all reported major progress on emissions reduction, which shows that energy software procurement in Europe is tied to long-cycle network and governance decisions rather than short-lived cost programs.

Asia-Pacific is projected to grow at an 18.45% CAGR from 2026 to 2031, making it the fastest-growing regional segment in the telecom network energy efficiency software market. The region combines large network rollouts with a widening set of operator profiles, which supports demand for both SaaS adoption and deeper automation. In May 2026, Rakuten Mobile and KDDI were jointly selected for an NEDO research program focused on reducing power consumption in virtualized base stations and mobile data centers, which shows rising public and commercial support for software-led efficiency programs. Nokia's live SaaS deployments in Indonesia and the Philippines also give the telecom network energy efficiency software market credible production references in Southeast Asia.

North America remains an important part of the telecom network energy efficiency software market because electricity price pressure supports demand for software that can reduce site and edge power use. The U.S. Energy Information Administration said retail electricity prices were expected to continue rising through 2026, which keeps operators' focus on demand-side control and efficiency software. South America presents a selective opportunity in which urban 5G programs are expanding network density and increasing the need for more disciplined energy management. The Middle East and Africa remain a mixed region, with some operators pursuing greater network autonomy while others are driven more directly by diesel-heavy site economics and the need for stronger monitoring foundations. This leaves the telecom network energy efficiency software market with different purchase priorities by region, where Europe leads on regulation and mature deployment, Asia-Pacific leads on growth, and other regions advance through a mix of cost pressure, infrastructure scale, and local operational constraints.

1. Tupl Inc.
2. AirHop Communications, Inc.
3. iMBrace Limited
4. Recenso Services Ltd.
5. TowerSight AI
6. Polystar AB
7. Nokia Corporation
8. Telefonaktiebolaget LM Ericsson
9. Huawei Technologies Co., Ltd.
10. ZTE Corporation
11. Cisco Systems, Inc.
12. Siemens AG
13. Schneider Electric SE
14. ABB Ltd.
15. Elisa Industriq
16. Vertiv Holdings Co
17. Honeywell International Inc.
18. Qualcomm Technologies
19. Juniper Networks, Inc.
20. Mavenir Systems, 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 Market Drivers
  • 4.2.1 Rising 5G RAN Energy Intensity
  • 4.2.2 AI-Driven Closed-Loop Power Saving Gains
  • 4.2.3 Cloud SaaS Adoption For Multi-Vendor Network Operations
  • 4.2.4 ESG Reporting And Net-Zero Compliance Pressure
  • 4.2.5 Autonomous RAN Optimization For Sleep Mode And Carrier Shutdown
  • 4.2.6 Energy Price Volatility In Tower And Edge Operations
• 4.3 Market Restraints
  • 4.3.1 Legacy Site Telemetry And Metering Gaps
  • 4.3.2 Integration Complexity Across OSS, RAN, And Power Systems
  • 4.3.3 Cybersecurity And Data Sovereignty Concerns
  • 4.3.4 Long Payback Period For Retrofits In Brownfield Networks
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Buyers
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Solution Type
  • 5.2.1 Energy Monitoring and Visibility Software
  • 5.2.2 Energy Analytics and Reporting Software
  • 5.2.3 AI-Based Power Optimization Software
  • 5.2.4 Energy Management and Automation Software
• 5.3 By Deployment Mode
  • 5.3.1 Cloud/SaaS
  • 5.3.2 On-Premises
  • 5.3.3 Hybrid
• 5.4 By End User
  • 5.4.1 Mobile Network Operators
  • 5.4.2 Tower Companies
  • 5.4.3 Internet Service Providers
  • 5.4.4 Network Infrastructure Providers
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 India
    • 5.5.4.3 Japan
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Egypt
      • 5.5.5.2.3 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 Tupl Inc.
  • 6.4.2 AirHop Communications, Inc.
  • 6.4.3 iMBrace Limited
  • 6.4.4 Recenso Services Ltd.
  • 6.4.5 TowerSight AI
  • 6.4.6 Polystar AB
  • 6.4.7 Nokia Corporation
  • 6.4.8 Telefonaktiebolaget LM Ericsson
  • 6.4.9 Huawei Technologies Co., Ltd.
  • 6.4.10 ZTE Corporation
  • 6.4.11 Cisco Systems, Inc.
  • 6.4.12 Siemens AG
  • 6.4.13 Schneider Electric SE
  • 6.4.14 ABB Ltd.
  • 6.4.15 Elisa Industriq
  • 6.4.16 Vertiv Holdings Co
  • 6.4.17 Honeywell International Inc.
  • 6.4.18 Qualcomm Technologies
  • 6.4.19 Juniper Networks, Inc.
  • 6.4.20 Mavenir Systems, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space And Unmet-Need Assessment