Intelligent Network Market

Industry Overview

The global intelligent network market is expected to grow from USD 2.91 billion to USD 19.48 billion by 2030 at a CAGR of 23.12% during the forecast period ranging from 2025 to 2030.

Intelligent network refers to the advanced technologies such as AI, machine learning, and big data analytics that improve network performance, efficiency, and security. These networks are specially designed to automate a wide range of network operations to optimize management procedures. Apart from that, these networks allow the operators to generate value-added services and manage them efficiently to make the telecom networks more efficient. Intelligent networks are designed to automate various network operations and optimize network management processes. The growth of the global intelligent network market is mainly attributed to the change in data traffic patterns and rise in data volume. In addition, significant benefits such as ability to hand data in real-time, extract useful insights, and make intelligent decisions to enhance the performance of the network, improve user experience, and lower downtime propel the market growth. In addition, tech developments and adoption of innovative technologies such as deep learning, network virtualization, analytics, and others have propelled the market growth due to higher adoption of these solutions worldwide. the mobile carries in particular need to develop their infrastructure of the networks to meet the growing consumer demand.

Development and implementation of new technologies such as IoT, 5G, and Cloud have increased network complexity and poses significant hindrance to the market growth. Also, little awareness and knowledge of AI-based networking among the network operators hinders market growth as they cannot handle these systems efficiently. However, the wider adoption of automated and collaborative physical worlds and the emergence of more developed cyber-physical systems have enabled the combination of digital and physical realities to offer higher transparency and better management of locations and resources. This has presented significant growth opportunities to the intelligent network market.

Market Segmentation

Insight by Application

The global intelligent network market is divided by application into traffic prediction and classification, performance prediction and configuration extrapolation, information cognition, and resource management and network adoption segments. Out of these segments, the traffic prediction and classification segment will experience higher growth due to growing needs. It is also attributed to its growing popularity, need to utilize network services properly for service and resource optimization, cyber governance and eliminating cyber threats. It can help significantly in traffic estimation and classification. The information cognition segment is expected to grow at a higher rate due to higher need for such networking systems which facilitates wider and seamless coverage, lower latency, higher capacity hotspots, greater reliability and other significant benefits. 

Insight by End-User

Based on the end users, the global intelligent network market is divided into managed network service providers, telecom service providers, cloud service providers and other categories. Out of them, the cloud service provider segment will grow at a higher CAGR during the forecast period due to the growing number of data centers across the globe and lower latency. These services are extremely helpful for several sectors such as e-Government, smart healthcare, smart manufacturing, smart mines, smart ports, smart education, and more.

However, the telecom service providers segment will contribute the largest market revenue due to ability to handle large number of subscribers with its higher network capacity, newer services introduced, and offer more efficient service at lower operational cost.

Insight by Enterprise Size

The global intelligent network market is divided by enterprise size into large enterprises and small and medium enterprises. Among these two segments, the small and medium enterprises segment is expected to grow at a faster rate during the forecast period due to the growing need for efficient and flexible operations and its popularity. In addition, the modernization initiative among SMEs to promote franchising, alliancing, inter-firm linkage, joint ventures, and subcontracting also fuels the segment growth. Higher awareness and knowledge of the developing technology, improving quality and design, and need for flexible specialization for higher economies of scale and smoother functionality increases the market growth. The large enterprises segment will also grow due to the need for a newer and better networking architecture to manage the large volume of data spread across different data centers, cloud services, and edge settings. It helps them to meet the growing demand for application connection and maintain consistency in operation across different locations in a speedier and safer manner. The growth of this segment is due to an expansive requirement for flexible and efficient operations in these enterprises that are attained with the help of artificial intelligence systems, thereby strengthening the growth of the intelligent network market.

Global Intelligent Network Market Report Coverage

Industry Dynamics

Industry Trends

The most significant trend in the market is the introduction of AI and cloud systems. Moreover, the growing demand for monitoring the smooth functioning of business activities along with the delivery of proper services to the clients are other notable trends observed in the market. There is a wider use of the intelligent networks to understand service performance and in solving problems. The growing awareness among the consumers is also a noticeable trend which results in higher adoption of intelligent network products because they believe these are natural and healthier alternatives. There is a rapid tech development drive within the industry that has resulted in the launch of more sustainable and efficient products. Also, a significant investment initiative is noticed among the major players which is expected to drive innovation and expand distribution network.

Growth Drivers

The most significant growth driver of the global intelligent network market is the growing adoption of sophisticated technologies such as cloud, IoT, 5G, and others to update techniques. The market growth is also attributed to the growing complexity of the networks and the development of AI systems that eliminate errors and enhance efficiency and flexibility in operations. The change in traffic patterns as well as the increase in the volume of data to be handled also encourages the use of these solutions propelling the market growth. In addition, tech development and innovations to increase ethe effectiveness of the products, increased digitalization, growth of e-commerce platforms, and growing importance of content marketing for maintaining brand value all needs accurate intelligent network solutions, thereby contributing to the market growth.

Challenges

Lack of proficiency and knowledge of AI-based networking hinders the market growth. Apart from that, there is also very little or no awareness among the network operators and end-user organizations to handle such systems which impacts widespread adoption of this approach adversely, thereby posing significant challenges to the market growth.

Opportunities

The rise in demand for more productive network management offers novel growth opportunities. In addition, the development in IoT technology and its widespread applications along with the connected devices provide significant growth opportunities. Apart from that, the growing need for improved network security among the consumers also offer growth opportunities to the market.

Geographic Overview

The North American market will grow significantly during the forecast period due to growing demand, higher adoption of IoT and connected technologies, growth of 5G network, higher adoption of cloud computing services and increase in the number of data centers.

The Asia-Pacific market will grow at a faster rate during the forecast period due to a large number of cloud service providers and telecom operators depending heavily on AI-assisted solutions.

Global Intelligent Network Market, By Region

Key Players Covered in the Report

The intelligent network market is fragmented with the presence of key players such as Cisco, Tech Mahindra, Huawei, Netcracker, Ericsson, Aruba, Netrolix, Nokia, Sandvine, and Ennetix. However, these players are looking for mergers and acquisitions as a strategy to increase their market share.

Recent developments by Key Players

Cisco Systems has recently launched networking chips for AI supercomputers. The rising popularity of AI applications such as ChatGPT, has made the speed at which these individual chips communicate. The latest generation of Cisco's ethernet switches, called G200 and G202, have double the performance, compared with the previous generation. G200 & G202 are going to be the most powerful networking chips in the market fueling AI/ML workloads enabling the most power-efficient network.

Recently, Red Hat, Inc. and Tech Mahindra had announced a collaboration to make it easier for telecommunications service providers to accelerate and manage 5G adoption and deployments across the hybrid cloud. With this collaboration, service providers are looking for ways to minimize the complexity that comes with managing and securing workloads across these diverse environments. This has helped them to increase scalability, speed cloud migrations and make managing 5G services easier.

The global Intelligent Network Market report offers a comprehensive market segmentation analysis along with the estimation for the forecast period 2025–2030.

Segments Covered in the Report

By Application

• Traffic prediction and classification
• Performance prediction and configuration extrapolation 
• Information cognition
• Resource management and network adoption
• Hyperledger

By End - User

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

By Enterprise Size

• Large size
• Small and Medium size

Region covered in the Report

North America

• U.S.
• Canada
• Mexico

Europe

• Germany
• U.K.
• France
• Italy
• Spain
• Rest of Europe

Asia-Pacific (APAC)

• China
• Japan
• India
• South Korea
• Australia
• Rest of Asia-Pacific

Rest of the World (RoW)

• Brazil
• Saudi Arabia
• South Africa
• Other Countries