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Telecom Order Management Market by Component, Deployment Model, Organization Size, Network Type and Product Type: Global Opportunity Analysis and Industry Forecast, 2019-2026

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    Report

  • 196 Pages
  • December 2019
  • Region: Global
  • Allied Market Research
  • ID: 4990122
Telecom order management is a system which is used to streamline and automate the order processing of various telecom services. In addition, it enables various communication service providers to execute different orders rapidly and efficiently during the fulfilment process. Furthermore, various benefits associated with this system such as improved customer relations, improved sales visibility, and efficient order processing are the major factors that increase its adoption in the telecom industry. In addition, this system helps the business providers with various functions such as fulfilling orders in accurate and timely manner, improve savings and efficiency, facilitate a provider’s ability to roll out new services and products efficiently and many others.

Rise in demand for network installations across rural areas and rapid increase in connectivity devices and subscribers are the major factors driving the growth of the market. In addition, cost-effective business processes to gain a competitive edge in the industry fuels the growth of the market. However, requirement of highly proficient specialists to manage the telecom order hampers the growth of the market. Furthermore, integration of advanced technology such AI, machine learning, and big data and lack of standardization and compatibility issues with the existing systems are anticipated to provide lucrative opportunities for the market.

The global telecom order management market is segmented based on component, deployment model, organization size, network type, product type, and region. In terms of component, it is bifurcated into solutions and services. Based on deployment model the market is categorized into on-premise and cloud. As per organization size, it is bifurcated into large enterprises and small & medium enterprises. In terms of network type, the market is segmented into wireline and wireless. As per product type, it is classified into customer order management, service order management and service inventory management. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the telecom order management market analysis include IBM Corporation, Oracle Corporation, Cognizant, Ericsson, Fujitsu Limited, Pegasystems Inc., Infosys Limited, Wipro Limited, Comarch SA, and Cerillion. These players have adopted various strategies to an increase their market penetration and strengthen their position in the industry.

Key benefits for stakeholders
  • The study provides an in-depth analysis of the global telecom order management market along with the current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
  • The quantitative analysis of the global telecom order management market for the period 2019–2026 is provided to determine the market potential.

Key market segments

By Component
  • Software
  • Service

By Deployment Mode
  • On-Premise
  • Cloud

By Organization Size
  • Large Organization
  • SMEs

By Network Type
  • Wireless
  • Wireline

By Product Type
  • Customer Order Management
  • Service Order Management
  • Service Inventory Management

By Region
  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

KEY MARKET PLAYERS
  • IBM Corporation
  • Oracle Corporation
  • Cognizant
  • Ericsson
  • Fujitsu Limited
  • Pegasystems Inc.
  • Infosys Limited
  • Wipro Limited
  • Comarch SA
  • Cerillion

Table of Contents

Chapter 1: Introduction
1.1. Report Description
1.2. Key Benefits For Stakeholders
1.3. Key Market Segments
1.4. Research Methodology
1.4.1. Secondary Research
1.4.2. Primary Research
1.4.3. Analyst Tools & Models
Chapter 2: Executive Summary
2.1. Key Findings
2.1.1. Top Impacting Factors
2.1.2. Top Investment Pockets
2.2. CXO Perspective
Chapter 3: Market Overview
3.1. Market Definition And Scope
3.2. Key Forces Shaping Global Telecom Order Management Market
3.2.1. Low-To-Moderate Bargaining Power of Suppliers
3.2.2. Low-To-Moderate Bargaining Power of Buyer
3.2.3. Low-To-Moderate-To-High Threat of Substitutes
3.2.4. Moderate-To-High Threat of New Entrants
3.2.5. Low-To-High Competitive Rivalry
3.3. Case Studies
3.3.1. Vodafone Germany Adopted Comarch “Next Generation Service Assurance” For Reducing The Operational Cost And Process Efficiency.
3.3.2. Algar Telecom Has Adopted Oracle Exadata Database Machine For Helping The Organization For Making Rapid And More Informed Strategic Decisions.
3.4. Market Dynamics
3.4.1. Drivers
3.4.1.1. Rapid Increase In Connectivity Devices And Subscribers
3.4.1.2. Cost-Effective Business Processes To Gain A Competitive Edge In The Industry
3.4.1.3. Rise In Demand For Network Installations Across Rural Areas
3.4.2. Restraint
3.4.2.1. Requirement of Highly Proficient Specialists To Manage The Telecom Order
3.4.3. Opportunities
3.4.3.1. Integration of Advance Technology Such Ai, Machine Learning And Big Data.
3.4.3.2. Rising Demand From Developing Economies
Chapter 4: Telecom Order Management Market, By Component
4.1. Overview
4.2. Solution
4.2.1. Key Market Trends, Growth Factors, And Opportunities
4.2.2. Market Size And Forecast, By Region
4.2.3. Market Analysis By Country
4.3. Service
4.3.1. Key Market Trends, Growth Factors, And Opportunities
4.3.2. Market Size And Forecast, By Region
4.3.3. Market Analysis, By Country
Chapter 5: Global Telecom Order Management Market, By Deployment Mode
5.1. Overview
5.2. On-Premise
5.2.1. Key Market Trends, Growth Factors And Opportunities
5.2.2. Market Size And Forecast, By Region
5.2.3. Market Analysis By Country
5.3. Cloud-Based
5.3.1. Key Market Trends, Growth Factors And Opportunities
5.3.2. Market Size And Forecast, By Region
5.3.3. Market Analysis By Country
Chapter 6: Global Telecom Order Management Market, By Enterprise Size
6.1. Overview
6.2. Large Enterprises
6.2.1. Key Market Trends, Growth Factors And Opportunities
6.2.2. Market Size And Forecast, By Region
6.2.3. Market Analysis By Country
6.3. Small & Medium Enterprises (Smes)
6.3.1. Key Market Trends, Growth Factors And Opportunities
6.3.2. Market Size And Forecast, By Region
6.3.3. Market Analysis By Country
Chapter 7: Telecom Order Management Market, By Network Type
7.1. Overview
7.2. Wireline
7.2.1. Key Market Trends, Growth Factors, And Opportunities
7.2.2. Market Size And Forecast, By Region
7.2.3. Market Analysis By Country
7.3. Wireless
7.3.1. Key Market Trends, Growth Factors, And Opportunities
7.3.2. Market Size And Forecast, By Region
7.3.3. Market Analysis By Country
Chapter 8: Telecom Order Management Market, By Product Type
8.1. Overview
8.2. Customer Order Management
8.2.1. Key Market Trends, Growth Factors, And Opportunities
8.2.2. Market Size And Forecast, By Region
8.2.3. Market Analysis By Country
8.3. Service Order Management
8.3.1. Key Market Trends, Growth Factors, And Opportunities
8.3.2. Market Size And Forecast, By Region
8.3.3. Market Analysis By Country
8.4. Service Inventory Management
8.4.1. Key Market Trends, Growth Factors, And Opportunities
8.4.2. Market Size And Forecast, By Region
8.4.3. Market Analysis By Country
Chapter 9: Global Telecom Order Management Market, By Region
9.1. Overview
9.1.1. Market Size And Forecast, By Region
9.2. North America
9.2.1. Key Market Trends, Growth Factors And Opportunities
9.2.2. Market Size And Forecast, By Component
9.2.3. Market Size And Forecast, By Deployment Model
9.2.4. Market Size And Forecast, By Enterprise Size
9.2.5. Market Size And Forecast, By Network Type
9.2.6. Market Size And Forecast, By Product Type
9.2.7. Market Analysis By Country
9.2.7.1. U.S.
9.2.7.1.1. Market Size And Forecast, By Component
9.2.7.1.2. Market Size And Forecast, By Deployment Model
9.2.7.1.3. Market Size And Forecast, By Enterprise Size
9.2.7.1.4. Market Size And Forecast, By Network Type
9.2.7.1.5. Market Size And Forecast, By Product Type
9.2.7.2. Canada
9.2.7.2.1. Market Size And Forecast, By Component
9.2.7.2.2. Market Size And Forecast, By Deployment Model
9.2.7.2.3. Market Size And Forecast, By Enterprises Size
9.2.7.2.4. Market Size And Forecast, By Network Type
9.2.7.2.5. Market Size And Forecast, By Product Type
9.3. Europe
9.3.1. Key Market Trends, Growth Factors And Opportunities
9.3.2. Market Size And Forecast, By Component
9.3.3. Market Size And Forecast, By Deployment Model
9.3.4. Market Size And Forecast, By Enterprise Size
9.3.5. Market Size And Forecast, By Network Type
9.3.6. Market Size And Forecast, By Product Type
9.3.7. Market Analysis By Country
9.3.7.2. UK
9.3.7.2.1. Market Size And Forecast, By Component
9.3.7.2.2. Market Size And Forecast, By Deployment Model
9.3.7.2.3. Market Size And Forecast, By Enterprises Size
9.3.7.2.4. Market Size And Forecast, By Network Type
9.3.7.2.5. Market Size And Forecast, By Product Type
9.3.7.3. Germany
9.3.7.3.1. Market Size And Forecast, By Component
9.3.7.3.2. Market Size And Forecast, By Deployment Model
9.3.7.3.3. Market Size And Forecast, By Enterprises Size
9.3.7.3.4. Market Size And Forecast, By Network Type
9.3.7.3.5. Market Size And Forecast, By Product Type
9.3.7.4. France
9.3.7.4.1. Market Size And Forecast, By Component
9.3.7.4.2. Market Size And Forecast, By Deployment Model
9.3.7.4.3. Market Size And Forecast, By Enterprises Size
9.3.7.4.4. Market Size And Forecast, By Network Type
9.3.7.4.5. Market Size And Forecast, By Product Type
9.3.7.5. Rest of Europe
9.3.7.5.1. Market Size And Forecast, By Component
9.3.7.5.2. Market Size And Forecast, By Deployment Model
9.3.7.5.3. Market Size And Forecast, By Enterprises Size
9.3.7.5.4. Market Size And Forecast, By Network Type
9.3.7.5.5. Market Size And Forecast, By Product Type
9.4. Asia-Pacific
9.4.1. Key Market Trends, Growth Factors And Opportunities
9.4.2. Market Size And Forecast, By Component
9.4.3. Market Size And Forecast, By Deployment Model
9.4.4. Market Size And Forecast, By Enterprise Size
9.4.5. Market Size And Forecast, By Network Type
9.4.6. Market Size And Forecast, By Product Type
9.4.7. Market Analysis By Country
9.4.7.1. Japan
9.4.7.1.1. Market Size And Forecast, By Component
9.4.7.1.2. Market Size And Forecast, By Deployment Model
9.4.7.1.3. Market Size And Forecast, By Enterprises Size
9.4.7.1.4. Market Size And Forecast, By Network Type
9.4.7.1.5. Market Size And Forecast, By Product Type
9.4.7.2. China
9.4.7.2.1. Market Size And Forecast, By Component
9.4.7.2.2. Market Size And Forecast, By Deployment Model
9.4.7.2.3. Market Size And Forecast, By Network Type
9.4.7.2.4. Market Size And Forecast, By Product Type
9.4.7.3. India
9.4.7.3.1. Market Size And Forecast, By Component
9.4.7.3.2. Market Size And Forecast, By Deployment Model
9.4.7.3.3. Market Size And Forecast, By Enterprises Size
9.4.7.3.4. Market Size And Forecast, By Network Type
9.4.7.3.5. Market Size And Forecast, By Product Type
9.4.7.4. Rest of Asia-Pacific
9.4.7.4.1. Market Size And Forecast, By Component
9.4.7.4.2. Market Size And Forecast, By Deployment Model
9.4.7.4.3. Market Size And Forecast, By Enterprises Size
9.4.7.4.4. Market Size And Forecast, By Network Type
9.4.7.4.5. Market Size And Forecast, By Product Type
9.5. LAMEA
9.5.1. Key Market Trends, Growth Factors And Opportunities
9.5.2. Market Size And Forecast, By Component
9.5.3. Market Size And Forecast, By Deployment Model
9.5.4. Market Size And Forecast, By Enterprise Size
9.5.5. Market Size And Forecast, By Network Type
9.5.6. Market Size And Forecast, By Product Type
9.5.7. Market Analysis By Country
9.5.7.1. Latin America
9.5.7.1.1. Market Size And Forecast, By Component
9.5.7.1.2. Market Size And Forecast, By Deployment Model
9.5.7.1.3. Market Size And Forecast, By Enterprises Size
9.5.7.1.4. Market Size And Forecast, By Network Type
9.5.7.1.5. Market Size And Forecast, By Product Type
9.5.7.2. Middle East
9.5.7.2.1. Market Size And Forecast, By Component
9.5.7.2.2. Market Size And Forecast, By Deployment Model
9.5.7.2.3. Market Size And Forecast, By Enterprises Size
9.5.7.2.4. Market Size And Forecast, By Network Type
9.5.7.2.5. Market Size And Forecast, By Product Type
9.5.7.3. Africa
9.5.7.3.1. Market Size And Forecast, By Component
9.5.7.3.2. Market Size And Forecast, By Deployment Model
9.5.7.3.3. Market Size And Forecast, By Enterprises Size
9.5.7.3.4. Market Size And Forecast, By Network Type
9.5.7.3.5. Market Size And Forecast, By Product Type

Executive Summary

According to the report titled 'Telecom Order Management Market by Component, Deployment Mode, Organization Size, Network Type, and Product Type: Global Opportunity Analysis and Industry Forecast, 2019-2026', the global market was valued at $2,245.18 million in 2018, and the telecom order management market forecast is projected to reach $6.50 billion by 2026, growing at a CAGR of 14.30% from 2019 to 2026.

Telecom order management system provides a centralized business framework allowing easy integration of future enhancements. The primary goal of this system is to enable communication service providers to create, manage, and modify various telecom services efficiently and effectively. Numerous benefits associated with telecom order management solutions, such as providing flexibility, reliability, and for tracking the communication order of the customers. In addition, rise in demand for network installations across rural areas and rapid increase in connectivity devices and subscribers are the major factors driving the growth of the market. In addition, cost-effective business processes to gain a competitive edge in the industry fuels the growth of the market. However, requirement of highly proficient specialists to manage the telecom order hampers the growth of the market. Furthermore, integration of advance technology such AI, machine learning and big data and lack of standardization and compatibility issues with the existing systems are anticipated to provide lucrative opportunities for the market. Thus, driving the growth of the telecom order management market.

The large enterprises segment dominated the telecom order management market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to an increase in providing a smooth flow of the inventory and managing customer orders efficiently. Furthermore, the small & medium enterprises are expected to grow at a significant CAGR during the forecast period, owing to a surge in adoption of telecom order management among SMEs is expected in the upcoming years for managing orders and increasing the revenue of the organization

The customer order management segment dominated the telecom order management market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to various benefits that include significant efficiency improvements and saving costs. Furthermore, the service inventory management segment is expected to grow at a significant CAGR during the forecast period, owing to rise in adoption of this systems among different enterprises for providing better quality services at a faster response time and at less competitive pricing.

Based on region, the global telecom order management market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the growth of the market in this region includes the expansion of long-term evolution networks in this region and various new innovative solutions introduced by various service providers for better customer service and improving the quality and performance of the service. However, Asia-Pacific is expected to witness the highest growth rate during the forecast period, due to rapid digital transformation and a surge in demand for managed IT services.

Key Finding of The Telecom Order Management Market:

Based on component, the solution segment led the telecom order management market size in terms of revenue in 2018.
By organization size, the large enterprises segment accounted for the highest telecom order management market share in 2018.
Based on region, North America generated the highest revenue in 2018.
Depending on industry vertical, the healthcare segment is anticipated to exhibit substantial growth during the forecast period.
The key players profiled in the telecom order management market analysis IBM Corporation, Oracle Corporation, Cognizant, Ericsson, Fujitsu Limited, Pegasystems Inc., Infosys Limited, Wipro Limited, Comarch SA, and Cerillion.

Companies Mentioned

  • IBM Corporation
  • Oracle Corporation
  • Cognizant
  • Ericsson
  • Fujitsu Limited
  • Pegasystems Inc.
  • Infosys Limited
  • Wipro Limited
  • Comarch SA
  • Cerillion.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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