세계의 통신 오더 관리 시장 - 규모, 점유율, 동향, 예측 : 컴포넌트, 전개 형태, 조직 규모, 네트워크 유형, 지역별(2025-2033년)

The global telecom order management market size was valued at USD 4.4 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 11.8 Billion by 2033, exhibiting a CAGR of 11.4% from 2025-2033. North America currently dominates the market, holding a market share of 37.6% in 2024. At present, telecom providers are working to enhance customer experience through enhanced order management processes. Furthermore, the increasing integration of new technologies, specifically the 5G network rollout, to deal with the growing complexity and volume of orders is bolstering the market growth. Apart from this, the heightened shift towards cloud-based order management systems to improve flexibility, scalability, and cost-effectiveness is expanding the telecom order management market share.

As businesses use cutting-edge technologies to streamline their operations, the telecom order management sector is currently seeing rapid expansion. The market is changing as a result of the integration of automation and artificial intelligence (AI), which enables telecom carriers to handle consumer requests more accurately and efficiently. Businesses are placing a strong emphasis on improving customer experiences by cutting down on order processing times and increasing the assurance of service delivery. In order to increase the scalability and flexibility of their order management systems, telecom service providers are implementing cloud-based solutions. They can now handle more consumer inquiries and transactions without compromising efficiency thanks to these technologies.

The United States telecom order management market is experiencing rapid development as service providers are now investing more in digital transformation programs. Order management processes of telecom companies are embracing leading-edge technologies such as artificial intelligence (AI) and computerization to maximize operational efficiency. This transition is optimizing operational efficiency, minimizing errors, and streamlining the overall customer experience. Providers are concentrating on order processing automation and service provisioning to manage increasing customer requirements for quicker and more precise service delivery. Cloud-based order management solutions are gaining traction in the US as they provide scalability, flexibility, and cost savings. Telecom operators are adopting cloud-based solutions to efficiently manage high volumes of orders and improve processes across channels. The IMARC Group predicts that the US cloud managed services market size is expected to exhibit a growth rate (CAGR) of 10.55%.

Telecom Order Management Market Trends:

Integration with Emerging Technologies

Telecom operators are looking to merge their order management solutions with new technologies, specifically the 5G network rollout, to deal with the growing complexity and volume of orders. With 5G networks continuing to roll out, telecom providers need to support high-demand services that need more sophisticated, dynamic order management capabilities. The embedding of 5G technology into order management systems is allowing telecom operators to provide quicker speeds, lower latency, and more stable connectivity, which are essential for enabling new applications, including Internet of Things (IoT) devices, connected vehicles, and smart cities. Telecom companies are modifying their order management systems to support the high-volume, low-latency characteristics of 5G services so that they can provision new services efficiently and quickly. In addition, the roll-out of 5G is creating more intricate service packages, which need advanced order management solutions to monitor and manage multiple services per order, thereby offering a favorable telecom order management market outlook. With the integration of 5G features into their order management systems, telecommunication providers are improving their capacity to offer next-generation services while ensuring operational efficiency. With 5G's ongoing development and catalyst effect on demand for new telecom services, the requirement for sophisticated, flexible order management solutions is increasing. The IMARC Group predicts that the global 5G infrastructure market size will reach USD 358.85 Billion by 2033.

Growing Need for Better Customer Experience

Telecom providers are working to enhance customer experience through enhanced order management processes. With customer expectations for quicker and more precise service deliveries constantly going up, telecom providers are compensating by introducing sophisticated order management systems. These systems are being empowered with automation and artificial intelligence (AI) to minimize the processing time for orders and improve accuracy. With automated order entry, approval, and provisioning, telecom operators are reducing the threat of human error, improving response times, and offering seamless customer experience. As businesses continue to invest in technology for improving customer satisfaction, the demand for sophisticated order management systems continues to grow, making them an integral part of telecom service strategies. In 2024, Itential, a frontrunner in hybrid cloud network infrastructure automation and orchestration software, revealed at Knowledge 2024 a complete solution that integrates ServiceNow's Sales and Order Management for Telecom products with Itential's network orchestration and integration platform, enabling Communications Service Providers (CSP) to speed up their market introduction and launch new, innovative services. In the ServiceNow Store, the Itential for OMT application offers an efficient solution that links ServiceNow to your network infrastructure, enabling orchestrated fulfillment for managing service orders.

Adoption of Cloud-Based Solutions

Telecom operators are quickly shifting towards cloud-based order management systems to improve flexibility, scalability, and cost-effectiveness in managing their businesses, thereby contributing to the telecom order management market growth. Through the use of cloud technology, businesses are deriving the capacity to scale their order management systems based on demand without being constrained by legacy on-premise infrastructure. In 2025, Dell Technologies launched the Open Telecom Transformation Program to increase the network cloud transformation for CSPs. Telecom businesses are offered by cloud solutions the capacity to handle high levels of customer orders effectively, even during periods of high demand. Such systems also provide more streamlined integration with other enterprise systems, including billing, customer relationship management (CRM), and inventory management, and this assists in developing an integrated ecosystem for improved data sharing and decision-making. Also, cloud-based order management systems enable telecom operators to obtain real-time updates and analytics so that monitoring of order progress becomes simpler and possible issues can be resolved before they affect service delivery.

Telecom Order Management Industry Segmentation:

Analysis by Component:

• Solution
  • Customer Order Management
  • Service Order Management
  • Service Inventory Management
• Service
  • Integration and Installation Services
  • Consulting Services
  • Support Services

Solution stands as the largest component in 2024, holding 65.8% of the market. It constitutes several subcategories like service order management, customer order management, and service inventory management. Customer order management deals with handling and processing customer orders from the inquiry stage to service delivery to ensure smooth order fulfillment and customer satisfaction. Service order management is meant to manage the complexity of service provision, involving processing service-specific orders such as broadband or 5G connections, to ensure that each service is rolled out in an optimal way. It entails controlling the network infrastructure and service assets, ensuring that hardware, software, and network elements necessary to complete customer orders are in place. These solutions are vital for telecom operators to optimize operational performance, minimize errors, and streamline service delivery across touchpoints.

Analysis by Deployment Mode:

• On-premises
• Cloud-based

Cloud-based stands as the largest component in 2024. It refers to utilizing cloud infrastructure to host and manage order management systems. With this model, telecom companies can access their order management systems through the Internet, removing the need for on-premises hardware and reducing the burden of system maintenance. Cloud-based solutions offer greater tractability, scalability, and cost-efficiency, allowing businesses to easily scale up or down based on demand without the requirement for significant upfront investments in information technology (IT) infrastructure. These systems are typically managed and maintained by service providers, ensuring the latest software updates and security features. Cloud-based solutions are becoming increasingly popular among telecom companies seeking to enhance operational efficiency, streamline updates, and provide remote accessibility for distributed teams.

Analysis by Organization Size:

• Large Organization
• Small and Medium Organization

Large organization leads the market with 73.8% of market share in 2024. It refers to established telecom companies with substantial resources, extensive customer bases, and complex operational requirements. It typically has large-scale networks, multiple service offerings, and numerous customer touchpoints that necessitate advanced order management systems to handle high volumes of transactions efficiently. It often prioritizes customization, integration, and scalability in their order management solutions for catering to diverse business needs across regions and departments. Due to the size, large organization also requires robust security measures, data governance, and compliance with industry regulations. With significant IT resources, large organization is more likely to adopt on-premises solutions or hybrid deployment models, although it is also embracing cloud-based solutions to improve flexibility, reduce costs, and enhance customer service.

Analysis by Network Type:

• Wireless
• Wired

Wired leads the market in 2024 as they are designed for managing orders in telecom companies that rely on traditional wired infrastructure, such as fiber-optic, coaxial cable, or DSL networks. These networks are typically used to provide services like broadband internet, landline telephony, and cable television. Telecom companies leveraging wired networks often need robust order management systems to handle the provisioning, installation, and maintenance of services, ensuring smooth customer experiences and efficient service delivery. As wired networks tend to have more stable and predictable performance compared to wireless networks, telecom providers can optimize their order management processes to deliver reliable and consistent service to customers. However, with the ongoing transition to next-generation technologies like 5G and the growing demand for wireless services, companies still relying on wired infrastructure must integrate their order management systems with emerging technologies to remain competitive. Efficient management of service orders, from customer acquisition to installation and troubleshooting, is crucial for maintaining operational efficiency and meeting customer expectations in the wired network segment.

Regional Analysis:

• North America
  • United States
  • Canada
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

In 2024, North America accounted for the largest market share of 37.6%. The industry is witnessing considerable growth currently as telecom service providers are rapidly embracing sophisticated technologies to enhance operational effectiveness. Firms are actively incorporating machine learning (ML) and artificial intelligence (AI) in their order management systems to streamline processes and improve precision. This phenomenon is helping telecom service providers minimize manual errors, accelerate order processing time, and deliver a better customer experience. AI is also utilized to forecast customer needs and streamline service delivery. Cloud solutions are gaining traction in North America, as telecommunication operators move from traditional on-premises models. Cloud technologies are also offering more scalability and flexibility, enabling service providers to handle high volumes of customer orders more efficiently. With cloud-based systems, telecom operators can minimize infrastructure expenses, automate their processes, and scale up rapidly to accommodate increased demand.

Competitive Landscape:

Market players in the telecom order management industry are actively enhancing their offerings by integrating advanced technologies like AI, automation, and ML into their solutions. These companies are focusing on developing cloud-based order management systems to offer greater scalability, flexibility, and cost-effectiveness to telecom service providers. Additionally, telecom order management solution providers are prioritizing system integrations with other enterprise systems like customer relationship management (CRM) and billing platforms, to streamline operations and improve decision-making. To stay competitive, many market players are also offering consulting, integration, and support services, ensuring that telecom providers can implement and optimize order management systems efficiently. Furthermore, as per the telecom order management market forecast, companies are expected to focus on 5G integration to address the complexities of next-generation service provisioning.

The report provides a comprehensive analysis of the competitive landscape in the telecom order management market with detailed profiles of all major companies, including:

• Cerillion
• Cognizant
• Comarch SA
• Fujitsu Limited (Furukawa Group)
• Infosys Limited
• International Business Machines Corporation
• Oracle Corporation
• Pegasystems Inc.
• Telefonaktiebolaget LM Ericsson
• Wipro Limited

Key Questions Answered in This Report

• 1.How big is the telecom order management market?
• 2.What is the future outlook of telecom order management market?
• 3.What are the key factors driving the telecom order management market?
• 4.Which region accounts for the largest telecom order management market share?
• 5.Which are the leading companies in the global telecom order management market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Telecom Order Management Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Solution
  • 6.1.1 Market Trends
  • 6.1.2 Key Segments
    • 6.1.2.1 Customer Order Management
    • 6.1.2.2 Service Order Management
    • 6.1.2.3 Service Inventory Management
  • 6.1.3 Market Forecast
• 6.2 Service
  • 6.2.1 Market Trends
  • 6.2.2 Key Segments
    • 6.2.2.1 Integration and Installation Services
    • 6.2.2.2 Consulting Services
    • 6.2.2.3 Support Services
  • 6.2.3 Market Forecast

7 Market Breakup by Deployment Mode

• 7.1 On-premises
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Cloud-based
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

• 8.1 Large Organization
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Small and Medium Organization
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast

9 Market Breakup by Network Type

• 9.1 Wireless
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Wired
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Region

• 10.1 North America
  • 10.1.1 United States
    • 10.1.1.1 Market Trends
    • 10.1.1.2 Market Forecast
  • 10.1.2 Canada
    • 10.1.2.1 Market Trends
    • 10.1.2.2 Market Forecast
• 10.2 Asia-Pacific
  • 10.2.1 China
    • 10.2.1.1 Market Trends
    • 10.2.1.2 Market Forecast
  • 10.2.2 Japan
    • 10.2.2.1 Market Trends
    • 10.2.2.2 Market Forecast
  • 10.2.3 India
    • 10.2.3.1 Market Trends
    • 10.2.3.2 Market Forecast
  • 10.2.4 South Korea
    • 10.2.4.1 Market Trends
    • 10.2.4.2 Market Forecast
  • 10.2.5 Australia
    • 10.2.5.1 Market Trends
    • 10.2.5.2 Market Forecast
  • 10.2.6 Indonesia
    • 10.2.6.1 Market Trends
    • 10.2.6.2 Market Forecast
  • 10.2.7 Others
    • 10.2.7.1 Market Trends
    • 10.2.7.2 Market Forecast
• 10.3 Europe
  • 10.3.1 Germany
    • 10.3.1.1 Market Trends
    • 10.3.1.2 Market Forecast
  • 10.3.2 France
    • 10.3.2.1 Market Trends
    • 10.3.2.2 Market Forecast
  • 10.3.3 United Kingdom
    • 10.3.3.1 Market Trends
    • 10.3.3.2 Market Forecast
  • 10.3.4 Italy
    • 10.3.4.1 Market Trends
    • 10.3.4.2 Market Forecast
  • 10.3.5 Spain
    • 10.3.5.1 Market Trends
    • 10.3.5.2 Market Forecast
  • 10.3.6 Russia
    • 10.3.6.1 Market Trends
    • 10.3.6.2 Market Forecast
  • 10.3.7 Others
    • 10.3.7.1 Market Trends
    • 10.3.7.2 Market Forecast
• 10.4 Latin America
  • 10.4.1 Brazil
    • 10.4.1.1 Market Trends
    • 10.4.1.2 Market Forecast
  • 10.4.2 Mexico
    • 10.4.2.1 Market Trends
    • 10.4.2.2 Market Forecast
  • 10.4.3 Others
    • 10.4.3.1 Market Trends
    • 10.4.3.2 Market Forecast
• 10.5 Middle East and Africa
  • 10.5.1 Market Trends
  • 10.5.2 Market Breakup by Country
  • 10.5.3 Market Forecast

11 SWOT Analysis

• 11.1 Overview
• 11.2 Strengths
• 11.3 Weaknesses
• 11.4 Opportunities
• 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

• 13.1 Overview
• 13.2 Bargaining Power of Buyers
• 13.3 Bargaining Power of Suppliers
• 13.4 Degree of Competition
• 13.5 Threat of New Entrants
• 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

• 15.1 Market Structure
• 15.2 Key Players
• 15.3 Profiles of Key Players
  • 15.3.1 Cerillion
    • 15.3.1.1 Company Overview
    • 15.3.1.2 Product Portfolio
    • 15.3.1.3 Financials
  • 15.3.2 Cognizant
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
    • 15.3.2.3 Financials
    • 15.3.2.4 SWOT Analysis
  • 15.3.3 Comarch SA
    • 15.3.3.1 Company Overview
    • 15.3.3.2 Product Portfolio
    • 15.3.3.3 Financials
  • 15.3.4 Fujitsu Limited (Furukawa Group)
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
    • 15.3.4.3 Financials
    • 15.3.4.4 SWOT Analysis
  • 15.3.5 Infosys Limited
    • 15.3.5.1 Company Overview
    • 15.3.5.2 Product Portfolio
    • 15.3.5.3 Financials
    • 15.3.5.4 SWOT Analysis
  • 15.3.6 International Business Machines Corporation
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 Financials
    • 15.3.6.4 SWOT Analysis
  • 15.3.7 Oracle Corporation
    • 15.3.7.1 Company Overview
    • 15.3.7.2 Product Portfolio
    • 15.3.7.3 Financials
    • 15.3.7.4 SWOT Analysis
  • 15.3.8 Pegasystems Inc.
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
    • 15.3.8.3 Financials
    • 15.3.8.4 SWOT Analysis
  • 15.3.9 Telefonaktiebolaget LM Ericsson
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
    • 15.3.9.3 Financials
    • 15.3.9.4 SWOT Analysis
  • 15.3.10 Wipro Limited
    • 15.3.10.1 Company Overview
    • 15.3.10.2 Product Portfolio
    • 15.3.10.3 Financials
    • 15.3.10.4 SWOT Analysis