[250 Pages Report] Newly released Telecom Order Management Market analysis report by Future Market Insights shows that global sales of Telecom Order Management Market in 2016 was held at US$ 1.9 Billion. With 7.9% projected growth during 2022 to 2032, the market is expected to reach a valuation of US$ 6.6 Bn by 2032. Solutions is expected to be the highest revenue-generating segment, projected to grow at a CAGR of over 6.8% during 2022 to 2032.
| Attributes | Details |
|---|---|
| Global Telecom Order Management Market Size (2022) | US$ 3.1 Billion |
| Global Telecom Order Management Market Size (2032) | US$ 6.6 Billion |
| Global Telecom Order Management Market CAGR (2022 to 2032) | 7.9% |
| USA Telecom Order Management Market Size (2032) | US$ 1.4 Billion |
| USA Telecom Order Management Market CAGR (2022 to 2032) | 6.4% |
| Key Companies Covered |
|
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As per the Telecom Order Management Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2016 to 2021, market value of the Telecom Order Management Market increased at around 8.4% CAGR.
Telecom order management systems help firms automate service fulfilment operations and improve customer service delivery. Other growth-inducing elements include numerous technology breakthroughs, such as the creation of next-generation telecommunications order management technologies.
Service providers are also utilizing artificial intelligence, machine learning, and big data to promote standardization and compatibility with existing systems. As per an analysis done in India, the population of internet users in the country is likely to surge by 40% by 2023, while the figure is projected to expand by 50% in the forecast years. The usage of telecom order management has risen in tandem with the development in smartphone penetration and internet purchasing.
Nokia has introduced a new cloud-native IMS Voice Core solution to assist communication service providers in streamlining network operations, increasing operational agility, and lowering network management costs. Focusing on a modular architecture consisting of independent functions vastly facilitates IMS Voice Core deployment as well as operability, thus drastically reducing installation and improvement time; ensuring greater deployment and configuration, and reducing footprint and cost through successful quality management operational savings. Its software architecture enhances common resource use and internal message performance, using less infrastructure for the IMS voice service, resulting in a 10%-20% increase in energy efficiency compared to existing IMS voice cores.
Communication service providers are extensively embracing sophisticated order management technologies to develop individualized client orders and services and allow the flexible running of enterprises, as networks and connectivity devices become more converged. Furthermore, the widespread use of internet-enabled smartphones, as well as rising consumer demand for online purchasing via e-commerce platforms, are boosting market development. As per a study, 49% of the global population remains online, with an estimated US$ 8.4 Bn connected devices in use globally. As a response, the number of connected devices and users has increased, propelling the telecommunication order management industry forward.
TPG Telecom claimed to be the first operator to introduce G.Fast technology, which offers downloading levels by up to one gigabit per second through its fiber-to-the-premises network. G.Fast is being deployed on twisted pair cable at frequencies higher than those utilized by VDSL. This is to avoid interference with and degrading the performance of competing VDSL services on the same cable. To attain Gbit speeds, G.Fast may be introduced across a larger band when there are no co-located VDSL connections.
Nokia has introduced the commercial entry of new software as a service (SaaS) that aims to improve network efficiency and control home devices. It is a machine learning solution that identifies and corrects network abnormalities before they cause problems for network consumers. Moreover, Nokia Analytic Virtualisation and Automate for energy SaaS use Artificial Intelligence that closely monitors traffic patterns in order to decrease connectivity resources during periods of low usage. When compared to non-AI systems, Nokia claims that this tool can save almost five times the amount of energy.
Principal Consultant
Order management is vital for every company's performance, but it is highly important for telecom carriers. Telecom order management is a very complicated process that frequently involves hundreds of sub-processes involving different systems, departments, and partner companies. When telecom carriers sell to the business sector, orders might be highly customized and multifarious, adding to the complexity of order administration.
Order management methods have a range of effects on suppliers' business prospects. They are a potential source of considerable efficiency gains and cost reductions. Furthermore, the efficacy of order management operations has a direct influence on revenues since order fallout can result in lost sales and customers. The ability of a provider to execute transactions in a timely and precise way shapes new consumers' initial perceptions of service.
DesignTrack, the virtualized Sales Order Management platform for trade showrooms, has been released by Showroom Software. With the debut of DesignTrack, Showroom Software, a provider of technology innovations for the trade industry, is reinventing sales order administration. The new platform allows showrooms to ditch out-of-date order management systems in favor of more effectively managing and processing orders.
Geographically, North America dominates the global telecom order management market owing to the rising need for client retention and highly competitive industry. The increase in awareness about the benefits that telecommunications order management solutions providers, such as assisting in timely order fulfillment necessary for early revenue generation and improving end-user happiness, has contributed to the constant rise of the North American telecom order management market.
Flytxt's consumer value management accelerator will be used by Lyca Mobile. Lyca Mobile will use Flytxt's artificial intelligence powered consumer value management accelerator throughout its seven major markets. Lyca Mobile uses Salesforce to combine consumer data and interactions in order to provide a more personalized experience. The accelerator uses real-world insights and trends from over a billion people and billions of data points to leverage analytics and AI. The accelerator will be used for the first time in the United States and Europe owing to the agreement with Lyca Mobile.
Asia Pacific is predicted to develop at a substantially faster rate than other regional markets, with a high CAGR. The Asia Pacific telecommunication order management industry is anticipated to increase due to fast digitalization and rising cloud adoption across the region.
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The United States is expected to account for the highest market share of US$ 1.4 Bn by the end of 2032. Communication Support Providers are searching for new creative solutions to standardize their 4G/LTE business models, deliver better customer service, and monitor service quality and performance, owing to the proliferation of long-term evolution systems in the country.
TimelyBill is a telecommunication billing & revenue management software that helps service providers present goods, issue invoices, receive payments, offer packages, share profits with partners, identify fraud, and do a variety of other revenue-related tasks.
The solution segment is forecasted to grow at the highest CAGR of over 6.8% during 2022-2032. Distributed order management systems play a vital part in these endeavors, as retailers are aware of them. Companies with B2B order flows have been slower to recognize the critical role a DOM can play in enhancing customer happiness, and revenues, and ensuring orders move to customers in the most cost-effective manner.
A Business to Consumer business model is supported by retail. Many businesses, on the other hand, use a Business to Business approach. Traditional ERP order management systems are too rigid to effectively accommodate different kinds of clients across many channels, these businesses are rapidly recognized. Telogis, a Verizon Firm, a cloud-based Smartphone Resource Management software company, has chosen Oracle Order Management Clouds as a safe and versatile solution. Telogis also required the potential to use open APIs and the capacity to bring orders/transactions through Order Management Cloud from numerous sources, process them, and determine where they should be sent.
The On-premises segment is forecasted to grow at the highest CAGR of over 5.9% during 2022-2032. However, as the number of connected devices grows, numerous telecommunication companies, particularly small and medium businesses, are heading for cloud-based deployment.
Bloomberg's RFQ is a market-leading multi-asset category that connects investors to a wide range of liquidity providers. Bloomberg ordering and execution management solutions offer multi-asset ordering and execution management as well as investment cycle analytics, allowing buy-side and sell-side enterprises to leverage their trade and order data to gain a competitive edge. As a consequence, businesses may improve operations, connect to global financial markets, maintain regulatory compliance, and minimize the cost of ownership.
Among the leading players in the global Telecom Order Management market are Ericsson AB, Amdocs Corp., Cerillion Plc, IBM Corp., ChikPea Inc., Comarch SA, Fujitsu Ltd., Neustar Inc., Pegasystems Inc., and Oracle Corp.
Similarly, recent developments related to companies in Telecom Order Management Market have been tracked by the team at Future Market Insights, which are available in the full report.
The global Telecom Order Management Market is worth more than US$ 3.1 Bn at present.
The value of the Telecom Order Management Market is projected to increase at a CAGR of around 7.9% during 2022 – 2032.
The value of the Telecom Order Management Market increased at a CAGR of around 8.4% during 2016 – 2021.
The rising convergence of networks and connected devices, as well as communication service providers, are all contributing to the market's favorable outlook.
The market for Telecom Order Management Market in US is projected to expand at a CAGR of around 6.4% during 2022 – 2032.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
4. Global Telecom Order Management Market Analysis 2016-2021 and Forecast, 2022-2032
4.1. Historical Market Size Value (US$ Mn) Analysis, 2016-2021
4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Mn) Analysis By Component, 2016-2021
5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Component, 2022-2032
5.3.1. Solutions
5.3.2. Services
5.3.2.1. Consulting
5.3.2.2. Support Services
5.3.2.3. Others
5.4. Y-o-Y Growth Trend Analysis By Component, 2016-2021
5.5. Absolute $ Opportunity Analysis By Component, 2022-2032
6. Global Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Deployment Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Mn) Analysis By Deployment Type, 2016-2021
6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Deployment Type, 2022-2032
6.3.1. On-premise
6.3.2. Cloud based
6.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2016-2021
6.5. Absolute $ Opportunity Analysis By Deployment Type, 2022-2032
7. Global Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2016-2021
7.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032
7.3.1. North America
7.3.2. Latin America
7.3.3. Europe
7.3.4. Asia Pacific
7.3.5. MEA
7.4. Market Attractiveness Analysis By Region
8. North America Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Country
8.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021
8.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
8.2.1. By Country
8.2.1.1. U.S.
8.2.1.2. Canada
8.2.2. By Component
8.2.3. By Deployment Type
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Component
8.3.3. By Deployment Type
8.4. Key Takeaways
9. Latin America Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Country
9.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021
9.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Component
9.2.3. By Deployment Type
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By Deployment Type
9.4. Key Takeaways
10. Europe Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Country
10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021
10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. Italy
10.2.1.3. France
10.2.1.4. U.K.
10.2.1.5. Spain
10.2.1.6. Russia
10.2.1.7. BENELUX
10.2.1.8. Rest of Europe
10.2.2. By Component
10.2.3. By Deployment Type
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Deployment Type
10.4. Key Takeaways
11. Asia Pacific Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Country
11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021
11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
11.2.1. By Country
11.2.1.1. China
11.2.1.2. Japan
11.2.1.3. South Korea
11.2.1.4. India
11.2.1.5. Rest of Asia Pacific
11.2.2. By Component
11.2.3. By Deployment Type
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Deployment Type
11.4. Key Takeaways
12. MEA Telecom Order Management Market Analysis 2016-2021 and Forecast 2022-2032, By Country
12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021
12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
12.2.1. By Country
12.2.1.1. GCC
12.2.1.2. Rest of MEA
12.2.2. By Component
12.2.3. By Deployment Type
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Deployment Type
12.4. Key Takeaways
13. Key Countries Telecom Order Management Market Analysis
13.1. U.S.
13.1.1. Pricing Analysis
13.1.2. Market Share Analysis, 2021
13.1.2.1. By Component
13.1.2.2. By Deployment Type
13.2. Canada
13.2.1. Pricing Analysis
13.2.2. Market Share Analysis, 2021
13.2.2.1. By Component
13.2.2.2. By Deployment Type
13.3. Brazil
13.3.1. Pricing Analysis
13.3.2. Market Share Analysis, 2021
13.3.2.1. By Component
13.3.2.2. By Deployment Type
13.4. Mexico
13.4.1. Pricing Analysis
13.4.2. Market Share Analysis, 2021
13.4.2.1. By Component
13.4.2.2. By Deployment Type
13.5. Argentina
13.5.1. Pricing Analysis
13.5.2. Market Share Analysis, 2021
13.5.2.1. By Component
13.5.2.2. By Deployment Type
13.6. Germany
13.6.1. Pricing Analysis
13.6.2. Market Share Analysis, 2021
13.6.2.1. By Component
13.6.2.2. By Deployment Type
13.7. Italy
13.7.1. Pricing Analysis
13.7.2. Market Share Analysis, 2021
13.7.2.1. By Component
13.7.2.2. By Deployment Type
13.8. France
13.8.1. Pricing Analysis
13.8.2. Market Share Analysis, 2021
13.8.2.1. By Component
13.8.2.2. By Deployment Type
13.9. U.K.
13.9.1. Pricing Analysis
13.9.2. Market Share Analysis, 2021
13.9.2.1. By Component
13.9.2.2. By Deployment Type
13.10. Spain
13.10.1. Pricing Analysis
13.10.2. Market Share Analysis, 2021
13.10.2.1. By Component
13.10.2.2. By Deployment Type
13.11. Russia
13.11.1. Pricing Analysis
13.11.2. Market Share Analysis, 2021
13.11.2.1. By Component
13.11.2.2. By Deployment Type
13.12. BENELUX
13.12.1. Pricing Analysis
13.12.2. Market Share Analysis, 2021
13.12.2.1. By Component
13.12.2.2. By Deployment Type
13.13. China
13.13.1. Pricing Analysis
13.13.2. Market Share Analysis, 2021
13.13.2.1. By Component
13.13.2.2. By Deployment Type
13.14. Japan
13.14.1. Pricing Analysis
13.14.2. Market Share Analysis, 2021
13.14.2.1. By Component
13.14.2.2. By Deployment Type
13.15. South Korea
13.15.1. Pricing Analysis
13.15.2. Market Share Analysis, 2021
13.15.2.1. By Component
13.15.2.2. By Deployment Type
13.16. India
13.16.1. Pricing Analysis
13.16.2. Market Share Analysis, 2021
13.16.2.1. By Component
13.16.2.2. By Deployment Type
13.17. GCC Countries
13.17.1. Pricing Analysis
13.17.2. Market Share Analysis, 2021
13.17.2.1. By Component
13.17.2.2. By Deployment Type
14. Market Structure Analysis
14.1. Competition Dashboard
14.2. Competition Benchmarking
14.3. Market Share Analysis of Top Players
14.3.1. By Regional
14.3.2. By Component
14.3.3. By Deployment Type
15. Competition Analysis
15.1. Competition Deep Dive
15.1.1. IBM Corporation
15.1.1.1. Overview
15.1.1.2. Product Portfolio
15.1.1.3. Profitability by Market Segment
15.1.1.4. Sales Footprint
15.1.1.5. Strategy Overview
15.1.1.5.1. Marketing Strategy
15.1.1.5.2. Product Strategy
15.1.2. Oracle Corporation
15.1.2.1. Overview
15.1.2.2. Product Portfolio
15.1.2.3. Profitability by Market Segment
15.1.2.4. Sales Footprint
15.1.2.5. Strategy Overview
15.1.2.5.1. Marketing Strategy
15.1.2.5.2. Product Strategy
15.1.3. Cognizant
15.1.3.1. Overview
15.1.3.2. Product Portfolio
15.1.3.3. Profitability by Market Segment
15.1.3.4. Sales Footprint
15.1.3.5. Strategy Overview
15.1.3.5.1. Marketing Strategy
15.1.3.5.2. Product Strategy
15.1.4. Ericsson
15.1.4.1. Overview
15.1.4.2. Product Portfolio
15.1.4.3. Profitability by Market Segment
15.1.4.4. Sales Footprint
15.1.4.5. Strategy Overview
15.1.4.5.1. Marketing Strategy
15.1.4.5.2. Product Strategy
15.1.5. Fujitsu Limited
15.1.5.1. Overview
15.1.5.2. Product Portfolio
15.1.5.3. Profitability by Market Segment
15.1.5.4. Sales Footprint
15.1.5.5. Strategy Overview
15.1.5.5.1. Marketing Strategy
15.1.5.5.2. Product Strategy
15.1.6. Pegasystems Inc.
15.1.6.1. Overview
15.1.6.2. Product Portfolio
15.1.6.3. Profitability by Market Segment
15.1.6.4. Sales Footprint
15.1.6.5. Strategy Overview
15.1.6.5.1. Marketing Strategy
15.1.6.5.2. Product Strategy
15.1.7. Infosys Limited
15.1.7.1. Overview
15.1.7.2. Product Portfolio
15.1.7.3. Profitability by Market Segment
15.1.7.4. Sales Footprint
15.1.7.5. Strategy Overview
15.1.7.5.1. Marketing Strategy
15.1.7.5.2. Product Strategy
15.1.8. Wipro Limited
15.1.8.1. Overview
15.1.8.2. Product Portfolio
15.1.8.3. Profitability by Market Segment
15.1.8.4. Sales Footprint
15.1.8.5. Strategy Overview
15.1.8.5.1. Marketing Strategy
15.1.8.5.2. Product Strategy
15.1.9. Comarch SA
15.1.9.1. Overview
15.1.9.2. Product Portfolio
15.1.9.3. Profitability by Market Segment
15.1.9.4. Sales Footprint
15.1.9.5. Strategy Overview
15.1.9.5.1. Marketing Strategy
15.1.9.5.2. Product Strategy
15.1.10. Cerillion
15.1.10.1. Overview
15.1.10.2. Product Portfolio
15.1.10.3. Profitability by Market Segment
15.1.10.4. Sales Footprint
15.1.10.5. Strategy Overview
15.1.10.5.1. Marketing Strategy
15.1.10.5.2. Product Strategy
16. Assumptions & Acronyms Used
17. Research Methodology
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Telecom Order Management Market
