Global Intelligent Network Market Size Study By Application (Information Cognition, Resource Management and Network Adoption, Traffic Prediction and Classification, Performance prediction and Configuration Extrapolation, and Others), By End-user, By Enterprise, and By Regional Forecasts, 2018-2025

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Global Intelligent Network Market valued approximately USD 1.63 billion in 2016 is forecasted to grow with a healthy growth rate of more than 27.60% over the forecast period 2018-2025. The major factors speculated to augment the markets are increases the complexity of networks, advent of new technologies, such as 5G, IoT, and cloud, growth in data volume and changes in traffic patterns. Proficiency in AI-based networking and lack of skills are restraining the growth rate of the market. Mainly, lack of awareness among network administrators & end-user enterprises and lack of budget among Small and Medium-Sized Enterprises (SMEs) are the challenges faced in the market. The Intelligent Network is the standard network architecture specified in the ITU-T Q.1200 series recommendations. It is meant for stationary as well as mobile telecom networks.

The regional analysis of Global Intelligent Network Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share. Deep learning, virtualization of network, and analytics are aiding the market growth in North America. Whereas, owing to countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate / CAGR over the forecast period 2018-2025. This trend can be attributed to the increasing reliance of most mobile operators on AI-based solution.

Global Intelligent Network MarketThe objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Application:

  • Information Cognition
  • Resource Management & Network Adoption
  • Traffic Prediction & Classification
  • Performance Prediction & Configuration Extrapolation
  • Others

By End-User:

  • Cloud Service Providers
  • Telecom Service Providers
  • Managed Network Service Providers
  • Others

By Enterprise:

  • Small & Medium-Sized Enterprise (SMEs)
  • Large Enterprise

By Regions:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
  • Asia Pacific
    • China
    • India
    • Japan
  • Latin America
    • Brazil
    • Mexico
  • Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016

Base year – 2017

Forecast period – 2018 to 2025

The industry is seeming to be fairly competitive. Some of the leading market players include Ennetix, Cisco, Extrahop Networks, Huawei, Entuity, Tech Mahindra, Aria Networks, Aruba, Nitro Mobile Solution Nokia, Netcracker, Juniper Networks, Loom Systems, Colt Technology Services, Mist Systems, Sandvine, Aricent, Apcon, Ericsson, Bluvector, and so on. The fierce competitiveness has made these players spend in product developments to improve the customer’s requirements.

Target Audience of the Intelligent Network Market Study:

  • Key Consulting Companies & Advisors
  • Large, medium-sized, and small enterprises
  • Venture capitalists
  • Value-Added Resellers (VARs)
  • Third-party knowledge providers
  • Investment bankers
  • Investors

Chapter 1.           Global Intelligent Network Market Definition & Scope

1.1.         Research Objective

1.2.         Market Definition

1.3.         Scope of The Study

1.4.         Years Considered for The Study

1.5.         Currency Conversion Rates

1.6.         Report Limitation

Chapter 2.           Research Methodology

2.1.         Research Process

2.1.1.     Data Mining

2.1.2.     Analysis

2.1.3.     Market Estimation

2.1.4.     Validation

2.1.5.     Publishing

2.2.         Research Assumption

Chapter 3.           Executive Summary

3.1.         Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)

3.2.         Key Trends

Chapter 4.           Global Intelligent Network Market Dynamics

4.1.         Growth Prospects

4.1.1.     Drivers

4.1.2.     Restraints

4.1.3.     Opportunities

4.2.         Industry Analysis

4.2.1.     Porter’s 5 Force Model

4.2.2.     PEST Analysis

4.2.3.     Value Chain Analysis

4.3.         Analyst Recommendation & Conclusion

Chapter 5.           Global Intelligent Network Market by Application

5.1.         Market Snapshot

5.2.         Market Performance – Potential Model

5.3.         Intelligent Network Market, Sub Segment Analysis

5.3.1.     Information Cognition

5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.     Resource Management & Network Adoption

5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.     Traffic Prediction & Classification

5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.4.     Performance Prediction & Configuration Extrapolation

5.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.5.     Others

5.3.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6.           Global Intelligent Network Market by End-User

6.1.         Market Snapshot

6.2.         Market Performance – Potential Model

6.3.         Intelligent Network Market, Sub Segment Analysis

6.3.1.     Cloud Service Providers

6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.     Telecom Service Providers

6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.3.     Managed Network Service Providers

6.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.4.     Others

6.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7.           Global Intelligent Network Market by Enterprise

7.1.         Market Snapshot

7.2.         Market Performance – Potential Model

7.3.         Intelligent Network Market, Sub Segment Analysis

7.3.1.     Small & Medium-sized Enterprise (SMEs)

7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.     Large Enterprises

7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8.           Global Intelligent Network Market, Regional Analysis

8.1.         Intelligent Network Market, Regional Market Snapshot (2015-2025)

8.2.         North America Intelligent Network Market Snapshot

8.2.1.     U.S.

8.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.1.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.     Canada

8.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.2.2.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.         Europe Intelligent Network Market Snapshot

8.3.1.     U.K.

8.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.     Germany

8.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.     France

8.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.     Rest of Europe

8.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.         Asia Intelligent Network Market Snapshot

8.4.1.     China Intelligent Network Market Size Estimates & Forecasts, 2015-2025 (USD Billion)

8.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.1.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.     India

8.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.2.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.     Japan

8.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.3.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.     Rest of Asia Pacific

8.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.4.4.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.         Latin America Intelligent Network Market Snapshot

8.5.1.     Brazil

8.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.1.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.     Mexico

8.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.5.2.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.         Rest of The World

8.6.1.     South America

8.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.1.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.     Middle East and Africa

8.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.3. End-User breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.6.2.4. Enterprise breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 9.           Competitive Intelligence

9.1.         Company Market Share (Subject to Data Availability)

9.2.         Top Market Strategies

9.3.         Company Profiles

9.3.1.     Ennetix

9.3.1.1. Overview

9.3.1.2. Financial (Subject to Data Availability)

9.3.1.3. Product Summary

9.3.1.4. Recent Developments

9.3.2.     Cisco

9.3.3.     Extrahop Networks

9.3.4.     Huawei

9.3.5.     Entuity

9.3.6.     Tech Mahindra

9.3.7.     Aria Networks

9.3.8.     Aruba

9.3.9.     Nitro Mobile Solution

9.3.10.   Nokia

9.3.11.   Netcracker

9.3.12.   Juniper Networks

9.3.13.   Loom Systems

9.3.14.   Colt Technology Services

9.3.15.   Mist Systems

9.3.16.   Sandvine

9.3.17.   Aricent

9.3.18.   Apcon

9.3.19.   Ericsson

9.3.20.   Bluvector

The Research Methodology for Global Intelligent Network Market Study deeply focuses on the entire value chain of the market. However, all of the statistical estimates are purely based on the consumption/implementation side of the value chain wherein the market sizes have been calculated by analyzing the prices i.e. sale price or cost prices along with the average demand/ procedures/usage/ deployment/execution of Intelligent Network across various industries / end-use/applications.

The whole Intelligent Network industry has been divided into various segments i.e. Application, End-User, Enterprise, and Regions and each of which is studied as an individual study by our research analysts and consultants. Each of the subsegments has been analyzed and estimated at country level to form a regional scope. After finalizing the regional and segmental revenues the total revenue for Global Intelligent Network Market is calculated as a sum of all the different segments.

Some of the key data points considered under the Research Methodology to calculate the revenue for Global Intelligent Network Market includes:

  • Revenues from key companies
  • Company market share analysis
  • Consumer spending analysis
  • Regional export and import analysis
  • Regulatory Trends
  • Sales revenue generated by various products/applications in different countries/geographies

The Research Methodology starts with extensive data mining, using paid & free authentic information sources such as white papers, industry journals, trade magazines, Hoovers, Factiva, Statista, news websites, technical publications, independent studies etc. a team of dedicated research analysts and associates work on all of the gathered data to extract relevant information. Key factors such as ongoing & upcoming industry trends, external & internal driving factors, restraining factors, growth opportunities and value chain analysis have been verified in order form qualitative part of the report and to back the estimation team for quantitative analysis.

We utilize a combination of top-down and bottom-up methodology for industry estimations & forecasts. Additionally, we employ data triangulation techniques to verify each of the estimates and forecasts through primary interviews and feedbacks. An extensive primary and secondary research have been conducted with the key industry people, through questionnaires, telephonic conversations, email conversations, and interviews to verify industry trends and estimations. Various government websites/portals and paid data sources are considered as a key source of secondary research.

All of the estimates are derived from simulation models which is our proprietary technique. Each of these models is different from another. These models are a combination of correlation, regression and time series analysis. Each of these models is basically divided into two types namely economic and technological. Economical models are used to determine short-term market estimates and technological models are used for long-term estimates & forecasts. Both the types are used collectively in order to derive market estimates for the base year as well as for forecast period.


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