Intelligent Network Market Share

Intelligent Network Market Overview

Intelligent Network Market size is projected to grow from USD 3.68 Billion in 2024 to USD 19.48 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 23.12% during the forecast period (2024 - 2032). Additionally, the market size for intelligent network was valued at  USD 2.91 Billion in 2023.

A rise in the expansion of the projects to develop intelligent networks, a Rise in the growth in data volume & changes in traffic patterns and a rise in the research & development activities are the key market drivers enhancing the market growth.

Figure 1: Intelligent Network Market Size, 2022-2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Intelligent Network Market TrendsThe improvement of technologies like artificial intelligence and machine learning is driving market growth.

Market CAGR for intelligent networks is being driven by the advancement of technologies like artificial intelligence and machine learning. Intelligent networks can deliver real-time network data that helps identify and fix network problems, enhancing network performance and decreasing downtime. Artificial intelligence and machine learning algorithms can instantly identify and stop security threats, enhancing network security and lowering the chance of security breaches. As a result, incorporating artificial intelligence and machine learning into intelligent networks enables better network performance and the delivery of brand-new, cutting-edge services to clients. The market for intelligent networks is expanding as a result of these innovations.

Additionally, Growth in the volume of data and changes in traffic patterns is expected to drive revenue growth in the market. Multiple technology layers exist in contemporary networks, all of which work together but independently, even when using KPIs, traffic patterns are tricky to predict and understand. For instance, congestion, jitter, delay, and packet loss, are influenced by relationships between many underlying technical metrics. In addition, intelligent network aids in problem-solving, while understanding traffic flow is necessary to comprehend service performance. Changes in traffic flow characteristics can indicate a network's internal troubles or problems with external parties. At the same time, one can handle that information and decide what to do with it by developing an intelligent network. Moreover, improved analytics, better predictive modeling, data-driven insights, and better network traffic flow provide an organization with a competitive edge. Hence, growth in the volume of data and changes in traffic patterns is leading to a rise in demand for intelligent networks, which is, in turn, expected to drive the global intelligent network market revenue growth.

The adoption of intelligent networks in telecommunication has enhanced in recent years due to the growing demand for advanced communication services and increasing efficiency in network management. Intelligent networks allow for automating many network functions, such as call routing and management, enabling operators to quickly and easily introduce new services to customers. Intelligent networks can provide real-time network information, which is useful for diagnosing and resolving network issues, improving network performance, and reducing downtime.

Additionally, the adoption of cloud-based services is driving the growth of the intelligent network market as operators look to improve network performance, reduce costs, and provide new and innovative services to customers. Cloud-based services allow operators to scale their networks up or down as needed, allowing them to better manage network resources and reduce costs. Moreover, it allows operators to implement and manage new services and applications more quickly and easily, improving network agility and enabling new revenue streams.

Intelligent Network Market Segment Insights

Intelligent Network Application Insights

The global intelligent network market segmentation, based on application, includes information cognition, traffic prediction & classification, resource management & network adoption, and performance prediction & configuration extrapolation. The information cognition segment dominated the market, accounting for 35% of market revenue (1.02 Billion). In developing economies, category growth is driven by the increased need for information detection to collect network operational data, including traceroute, network characteristics, traffic matrix, and other basic functions. However, traffic prediction & classification is the fastest-growing category owing to its popularity in detecting network threats, resource management, or enhancing the caliber of network services.

Intelligent Network Enterprise Size Insights

The global intelligent network market segmentation, based on enterprise size, includes small & medium-sized enterprises and large enterprises. The small & medium-sized enterprises category generated the most income (70.4%) owing to its increasing popularity. However, large enterprises are the fastest-growing category as large organizations have their applications and data dispersed across various data centers, clouds, and edge settings.

Figure 2: Intelligent Network Market, by Enterprise Size, 2022 & 2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Intelligent Network End-User Insights

The global intelligent network market segmentation, based on end-user, includes telecom service providers, cloud service providers, managed network service providers, and others. The telecom service providers’ category generated the most income owing to the increased risk of human mistakes and unreliable networks. However, cloud service providers are the fastest-growing category as companies often only pay for cloud services they use, as business demands dictate,

Intelligent Network Regional Insights

By region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American intelligent network market will dominate this market due to an increase in the adoption of the Internet of Things, a rise in the complexity of networks, an increase in the rate of adoption of these technologies among advanced industry verticals, and a rise in the expansion of the projects to develop intelligent networks will boost the market growth in this region. Further, the US intelligent network market held the largest market share, and the Canadian intelligent network market was the fastest-growing market in the North American region.

Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 3: INTELLIGENT NETWORK MARKET SHARE BY REGION 2022 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe's intelligent network market accounts for the second-largest market share owing to the growing digital and economic transformation of the region. Further, the German intelligent network market held the largest market share, and the UK intelligent network market was the fastest-growing market in the European region.

The Asia-Pacific intelligent network market is expected to grow at the fastest CAGR from 2023 to 2032. This is due to increasing government activities and activities by major market players in this region. Moreover, China’s intelligent network market held the largest market share, and the Indian intelligent network marketwas the fastest-growing market in the Asia-Pacific region.

Intelligent Network Key Market Players & Competitive Insights

Leading market players are investing heavily in research and development to expand their product lines, which will help the intelligent network market grow even more. Market participants are also undertaking numerous strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the intelligent network industry must offer cost-effective items.

Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global intelligent network industry to benefit clients and increase the market sector. Major players in the intelligent network market, including Cisco Systems (US), Ericsson (Sweden), Juniper Networks (US), Huawei Technologies (China), Nokia Corporation (Finland), and others, are attempting to increase market demand by investing in research and development operations.

EXFO Inc provides monitoring, test, and analytics solutions. The company's product portfolio comprises dispersion analyzer, network protocol testing, copper testing, fiber inspection probe, light source, real-time analyzer, tunable laser sources, optical communication analyzers, live fiber detectors, and OTDR and iOLM power meters. It offers various services, including training, field network testing, simulator test services, consumer care and delivery services. EXFO delivers its products and services to communications service providers, webscale firms and data centers, cable MSOs (multiple system operators), contractors, academic and research institutions, government, network equipment manufacturers, and system integrators. In February 2020, EXFO Inc. established Nova Adaptive Service Assurance (Nova A|SA), the first intelligent automation platform allowing mobile network operators to deliver ultra-reliable, high-quality service experience in a 5G world.

Huawei Technologies Co Ltd, a subsidiary of Huawei Investment & Holding Co Ltd, provides information and communication technology (ICT) infrastructure and smart devices. The company's product portfolio includes laptops, tablets, routers, wearables, headphones, enterprise wireless products, enterprise optical transmission and access products, networking products, and cloud and computing products. It also offers services, software for carrier networks, and smart services for enterprises. In September 2022, Huawei introduced enhanced capabilities of its Intelligent Cloud-Network Solution, which were developed to suit clients' evolving needs and encompass three main scenarios, CloudFabric, CloudWAN, and CloudCampus. Huawei also published a white paper on wireless intelligent networks to help businesses with digital innovation.

Key Companies in the Intelligent Network market include

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  Cisco Systems (US)

  
  


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  Ericsson (Sweden)

  
  


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  Juniper Networks (US)

  
  


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  Huawei Technologies (China)

  
  


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  Nokia Corporation (Finland)

  
  


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  Hewlett-Packard Company (US)

  
  


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  Orange S.A. (France)

  
  


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  Tech Mahindra Limited (India)

  
  


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  Colt Technology Services (UK)

  
  


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  Sandvine (Canada)

  
  


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  Netcracker Inc. (UK)

  
  

Intelligent Network Industry Developments

October 2019: Netcracker announced that it had 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 plans for this program include the addition of intelligent network planning and simulation and the enhancement of service assurance with AI.

Intelligent Network Market Segmentation

Intelligent Network Application Outlook

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  Information Cognition

  
  


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  Traffic Prediction & Classification

  
  


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  Resource Management & Network Adoption

  
  


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  Performance Prediction & Configuration Extrapolation

  
  

Intelligent Network Enterprise Size Outlook

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  Small & Medium-Sized Enterprises

  
  


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  Large Enterprises

  
  

Intelligent Network End-User Outlook

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  Telecom Service Providers

  
  


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  Cloud Service Providers

  
  


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  Managed Network Service Providers

  
  


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  Others

  
  

Intelligent Network Regional Outlook

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  North America

  
  

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  US

  
  


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  Canada

  
  

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  Europe

  
  

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  Germany

  
  


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  France

  
  


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  UK

  
  


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  Italy

  
  


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  Spain

  
  


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  Rest of Europe

  
  

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  Asia-Pacific

  
  
  
  
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    China

    
    
  
  
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    Japan

    
    
  
  
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    India

    
    
  
  
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    Australia

    
    
  
  
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    South Korea

    
    
  
  
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    Australia

    
    
  
  
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    Rest of Asia-Pacific

    
    
  
  
  
  


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  Rest of the World

  
  
  
  
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    Middle East

    
    
  
  
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    Africa

    
    
  
  
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    Latin America