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Cognitive Network Market Size

Report ID: GMI9924
Published Date: Jun 2024
Report Format: PDF

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Cognitive Network Market Size

Cognitive Network Market was valued at USD 2.4 billion in 2023 and is estimated to register a CAGR of 25% between 2024 and 2032. The market is witnessing increased demand driven by innovative product launches from industry leaders. Companies like Cisco, Nokia, and Huawei are leading the way, offering advanced solutions integrating artificial intelligence and machine learning into networks. These intellectual networks promise to power automation, predictive analytics, and self-optimization advanced to change how networks work.

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For instance, in February 2024, Ericsson brought advanced capabilities to its cognitive software segment of communications service providers (CSPs), using Expression AI (XAI). The development aimed to accelerate the adoption of AI in network design and ideally, clear insight into the rationale behind AI-driven recommendations.

Initiatives like Cisco's cognitive intelligence platform, Nokia's cognitive processing capabilities, and Huawei's AI-powered network management solutions are reshaping the landscape. These innovations meet the rise and scale of today's networks, addressing challenges such as network congestion, security threats, and functional reliability. This trend highlights the shift towards simpler, more efficient, and flexible networks that can meet the digital demands of the future.

Cognitive Network Market Report Attributes
Report Attribute	Details
Base Year:	2023
Cognitive Network Market Size in 2023:	USD 2.4 Billion
Forecast Period:	2024 to 2032
Forecast Period 2024 to 2032 CAGR:	25%
2032 Value Projection:	USD 17.3 Billion
Historical Data for:	2021 to 2023
No. of Pages:	280
Tables, Charts & Figures:	330
Segments covered:	Component, Technology, Deployment Mode, Network Type, End-user
Growth Drivers:	Rising Demand for 5G Networks Increased devices demand smarter network management Integration for scalable, responsive network management Enhance network automation and predictive capabilities
Pitfalls & Challenges:	Balancing enhanced analytics with privacy regulations High initial investment for cognitive capabilities

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Despite the rapid growth of the cognitive network industry, there are several obstacles. Challenges include difficulty in integrating AI into existing networks, which requires significant investments in technology and know-how. Legal concerns about data privacy and security also pose barriers, affecting widespread adoption. Furthermore, the need for interoperability between different networks and platforms makes it difficult. Additionally, cultural resistance to AI-driven decision-making and the possibility of AI bias must be addressed with caution. Addressing these moderations through standardized policies, robust cybersecurity measures, and comprehensive AI training will be essential to unlocking the full potential of cognitive networking.

Authors: Preeti Wadhwani

Frequently Asked Questions (FAQ) :

Global industry size for cognitive network was valued at USD 2.4 billion in 2023 and is anticipated to register 25% CAGR between 2024 and 2032, driven by increased integration for scalable, responsive network management.

The solution segment in the cognitive network market held 79% revenue share in 2023 owing to the investments in AI-powered tools for network automation, predictive analytics, and self-customization, enhancing telecom operations, 5G, and IoT applications.

North America market held 33% revenue share in 2023 due to investments in AI tools for enhancing 5G, IoT, network performance, and security, driving telecommunications innovation.

Cisco Systems, Inc., IBM Corporation, Juniper Networks, Inc., Nokia Corporation, VMware, Inc., Arista Networks, Inc., and Ericsson.