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Intelligent Network Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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    Report

  • 130 Pages
  • January 2022
  • Region: Global
  • Mordor Intelligence
  • ID: 5239516

The Intelligent Network Market is expected to register a CAGR of 22% during the forecast period (2021 - 2026). The most important factors that are driving the growth of the market are considered as the emergence of advanced technologies, such as the IoT, 5G, and cloud. The rapidly increasing complexity of the networks, the huge incremental growth in terms of data generation, and volatile changes in the data traffic patterns are all driving the market.



Key Highlights

  • Enterprise networks are increasingly going under pressure with more and more users, applications, and devices than ever before primarily relying on the network for seamless connectivity to a wide range of consumer products.
  • Moreover, organizations today are increasingly interested in advanced management tools and new network architectures that can primarily leverage technologies like machine learning and artificial intelligence in order to create a self-driving or autonomous network. These advancements are also changing the way enterprises rely on the services from their partners and vendors.
  • According to Cisco Systems, the growth of data and devices is increasing the network burden, and 95% of network changes are performed manually, which results in operational costs being 2 to 3 times higher than the value of the network. This trend is expected to drive the intelligent network market during the forecast period.
  • The intelligent networks primarily represent the rapidly evolving public network architecture in order to create a flexible and uniform provision of the future telecommunication services, specifically the value-added services that will be offered.
  • As millions of people have been in isolation owing to the coronavirus pandemic, the seamless internet connectivity has been very crucial that has allowed people working from their homes without the need to go into the workplace. The Covid-19 epidemic is a great, but not an invincible challenge for the industry. The industry is already witnessing growth as operators are moving forward with their 5G rollout plans.

Key Market Trends


Telecom Service Provider to Witness Significant Growth


  • The emergence of 5G networks is expected to revolutionize the domain of various broadband services and is expected to empower connectivity across multiple end-user verticals. The primary drivers responsible for the growth of the market are the increase in mobile subscriptions, enterprise usage, online streaming of video content, strengthening 5G infrastructure, and various IoT applications utilizing 5G.
  • 5G technology is also expected to unleash a massive IoT ecosystem that would allow networks to serve billions of connected devices. For Instance, according to Ericsson's Mobility Report of June 2019, More than 10 million 5G mobile subscriptions are anticipated globally by the end of 2019. This is indicative of the fact that the market is poised to grow throughout the forecast period.
  • Moreover, in Feb 2020, EXFO Inc., which is one of the prominent vendors in the communications industry's test, monitoring, and analytics domain, launched Nova Adaptive Service Assurance (Nova A - SA), which is the first intelligent automation platform that will enable the mobile network operators to deliver ultra-reliable, high-quality service experience in a 5G world.

North America is Expected to Hold a Significant Market Share


  • The North American region is expected to hold a significant market share of the market during the forecast period. This is primarily owing to the increasing adoption of intelligent networking solutions in the region that is driven by the growth of advanced technologies, such as analytics, deep learning, and network virtualization.
  • The increase in the demand for advanced technologies, such as machine-to-machine communication, connected cars, and artificial intelligence is highest in the region as compared to other regions, hence it is anticipated to offer massive opportunities for the 5G network thereby driving the market.
  • Cloud-based enterprise applications are also thriving in the region. The cloud-based solutions depend on internet connectivity to function in the hosted environment, with 5G enabling much faster internet speed, it will further enhance the connectivity experience.
  • Moreover, According to Ericsson, by the end of 2025, the 5G mobile subscription in the region are expected to reach 318 million that is more than 80% penetration of all the mobile subscriptions in the North America region, which would further fuel the demand for intelligent networks.

Competitive Landscape


The Intelligent Network Market is highly competitive owing to the presence of several players in the market operating in domestic as well as in the international markets. The market appears to be moderately fragmented with the key players adopting strategies like product innovation, mergers, and acquisitions, and strategic partnerships in order to widen their product portfolio and increase their customer base, while staying competitive in the market. Some of the major players in the market are Cisco Systems, Inc, Huawei Technologies, Nokia Corporation among others.


  • Nov 2019 - Mist Systems, a Juniper Networks company, announced its AI-driven intelligent network for enterprises. The self-driving networks will be working with the company's AI engine and microservices cloud to strategize IT operations. This is expected to optimize the network experience for users and improve the troubleshooting for wired/wireless domains.
  • Oct 2019 - Netcracker announced that it has been chosen by Deutsche Telekom, Germany for its network and service automation initiative. By digitalizing the complex functions, DT will aim to gain an end to end network insight, automate complex service provisioning processes, and significantly reduce cost and effort. The future plans for this program includes the addition of intelligent network planning and simulation as well as enhancement of service assurance with AI.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support


This product will be delivered within 2 business days.

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Emergence of Technologies Such as IoT, 5G, and Cloud
4.2.2 Rapid Increase in the Volume of Data
4.3 Market Restraints
4.3.1 Lack of Expertise in AI-Based Networking
4.4 Porters Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5 TECHNOLOGY SNAPSHOT
6 MARKET SEGMENTATION
6.1 By Enterprise Size
6.1.1 Small and Medium-Sized Enterprises
6.1.2 Large Enterprises
6.2 By End-user
6.2.1 Telecom Service Providers
6.2.2 Cloud Service Providers
6.2.3 Managed Network Service Providers
6.2.4 Other End-users
6.3 Geography
6.3.1 North America
6.3.2 Europe
6.3.3 Asia-Pacific
6.3.4 Latin America
6.3.5 Middle-East and Africa
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Cisco Systems, Inc.
7.1.2 Huawei Technologies Co., Ltd.
7.1.3 Telefonaktiebolaget LM Ericsson
7.1.4 Tech Mahindra Limited
7.1.5 Aruba Networks
7.1.6 Nokia Corporation
7.1.7 Juniper Networks, Inc.
7.1.8 Colt Technology Services Group Limited
7.1.9 Sandvine Incorporated
7.1.10 Altran Technologies SA
7.1.11 Aria Networks Ltd.
8 INVESTMENT ANALYSIS9 MARKET OPPORTUNITIES AND FUTURE TRENDS

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Cisco Systems, Inc.
  • Huawei Technologies Co., Ltd.
  • Telefonaktiebolaget LM Ericsson
  • Tech Mahindra Limited
  • Aruba Networks
  • Nokia Corporation
  • Juniper Networks, Inc.
  • Colt Technology Services Group Limited
  • Sandvine Incorporated
  • Altran Technologies SA
  • Aria Networks Ltd.

Methodology

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