Global Intelligent Network Market Size, Status and Forecast 2022

SKU ID : QYR-19696892 | Publishing Date : 13-Dec-2021 | No. of pages : 125

The Intelligent Network (IN) is the standard network architecture specified in the ITU-T Q.1200 series recommendations. It is intended for fixed as well as mobile telecom networks. It allows operators to differentiate themselves by providing value-added services in addition to the standard telecom services such as PSTN, ISDN on fixed networks, and GSM services on mobile phones or other mobile devices.
North America is expected to hold the largest market size in the intelligent network market during the forecast period. The adoption of intelligent networking solutions in North America is driven by the growth of innovative technologies, such as deep learning, analytics, and virtualization of network. Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period, as many telecom operators and cloud service providers have started relying on AI-enabled solutions.

Market Analysis and Insights: Global Intelligent Network Market
The global Intelligent Network market size is projected to reach US$ 10910 million by 2027, from US$ 2637.8 million in 2020, at a CAGR of 22.0% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Intelligent Network market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Intelligent Network market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Intelligent Network market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Intelligent Network market.

Global Intelligent Network Scope and Market Size
Intelligent Network market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Intelligent Network market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Freephone Service
Personal Service
Virtual Private Network Service
Alternative Automatic Billing Service
Premium Rate Services

Segment by Application
Telecom Service Providers
Cloud Service Providers
Managed Network Service Providers
Other Enterprises

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Cisco
Huawei
Ericsson
Tech Mahindra
Aruba
Nokia
Juniper Networks
Colt Technology Services
Netcracker
Sandvine
Loom Systems
Aricent
Ennetix
Aria Networks
Extrahop Networks
Entuity
Apcon
Mist Systems
Bluvector
Nitro Mobile Solutions
Darktrace
Netrolix
Flowmon Networks
Balbix
Boco Systems

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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