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New York, NY – February 21, 2025 – The Global Agentic AI in Networks Market is on a rapid growth trajectory, expected to reach USD 251.8 billion by 2034, up from USD 3.8 billion in 2024, representing a robust CAGR of 52.10% from 2025 to 2034.
This growth is fueled by the increasing need for automation, enhanced network security, and intelligent traffic management across various industries. In 2024, North America accounted for a dominant 40.5% share of the market, generating approximately USD 1.5 billion in revenue.
The U.S. plays a central role in this growth, with its Agentic AI in Networks market valued at USD 1.23 billion in 2024, and is projected to expand at a significant CAGR of 50.5% during the forecast period.
This growth can be attributed to the widespread adoption of AI-powered network management solutions, designed to improve efficiency, automate troubleshooting, enhance security, and optimize network performance.
Key industries driving the demand for AI in networks include telecommunications, IT, and large-scale enterprises that rely on data-driven network management for streamlined operations.
The continued advancements in AI technology, including machine learning and neural networks, are expected to further accelerate the adoption of Agentic AI in the networking domain, making it a pivotal area of investment and innovation for the coming decade.
Key Takeaways
- The Global Agentic AI in Networks Market is expected to reach USD 251.8 Billion by 2034, from USD 3.8 Billion in 2024, growing at a CAGR of 52.10%.
- Natural Language Processing (NLP) led the market in 2024, with a 34.6% share.
- On-premise deployment mode captured 56.7% of the market in 2024.
- Network Automation was the leading application, holding 40.8% of the market share in 2024.
- Telecommunications Providers dominated with 36.9% of the market share.
- North America held 40.5% of the market share in 2024, generating USD 1.5 billion in revenue.
- The U.S. market is valued at USD 1.23 billion in 2024, projected to grow at a CAGR of 50.5%.
🔴 𝐇𝐮𝐫𝐫𝐲 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐅𝐨𝐫 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐏𝐞𝐫𝐢𝐨𝐝 𝐎𝐧𝐥𝐲 @ https://market.us/purchase-report/?report_id=139638
Regional Analysis
In 2024, North America held the largest market share in the Agentic AI in Networks Market, accounting for 40.5% of the global revenue, valued at approximately USD 1.5 billion. The strong presence of key players, along with advanced technological infrastructure, has facilitated the rapid adoption of agentic AI solutions in the region.
The U.S. dominated this market, valued at USD 1.23 billion in 2024, with a projected CAGR of 50.5% during the forecast period. This growth is attributed to increasing demand from sectors like telecommunications, network automation, and enterprise IT.
Europe and Asia-Pacific (APAC) are expected to follow closely, driven by advancements in AI technology and growing network complexities in telecommunications and cloud services. In particular, APAC is witnessing increasing investments in AI-powered network management, further contributing to market growth in the region. The rising adoption of AI solutions in telecommunications and enterprise networks globally will ensure steady regional growth over the next decade.
Key Player Analysis
Key players in the Agentic AI in Networks Market include major telecom and technology companies that drive innovation and adoption of AI-powered network solutions. These include AT&T Intellectual Property, Verizon Communications, Vodafone Group, and Deutsche Telekom, which are investing heavily in AI to optimize network management and automation.
China Mobile, Cisco Systems, and Huawei Technologies are also leading players, enhancing their AI capabilities to improve network performance and security. Juniper Networks, Nokia Corporation, and Arista Networks contribute through advanced AI-driven network infrastructure.
Additionally, Amazon Web Services (AWS) and IBM are key players, providing cloud-based AI solutions that support scalable network operations globally. These players continue to drive the market’s growth with cutting-edge technologies, collaborations, and acquisitions.
Key Segmentation
Technology: This refers to the various AI technologies used in networks:
- Machine Learning (ML) and Deep Learning (DL) help in automating network operations.
- Reinforcement Learning (RL) optimizes decision-making processes.
- Natural Language Processing (NLP) enables AI to interpret human language in network management.
- Computer Vision aids in visualizing network data for insights.
Deployment Mode: Refers to how AI solutions are deployed:
- On-Premise: Solutions installed locally within an organization.
- Cloud-Based: Solutions hosted on the cloud, offering flexibility and scalability.
Application: Describes the uses of Agentic AI in networks:
- Network Automation: Streamlining network operations.
- Traffic Management and Fault Detection improve network efficiency.
- Security Management: Includes IDS, Anomaly Detection, and Threat Intelligence.
- Service Management: Helps with monitoring and performance optimization.
End-User: The industries that adopt these technologies:
- Telecommunications Providers: The main users of network AI.
- Enterprises, Cloud Service Providers, and Governments also leverage these solutions.
Recent Developments
In recent years, the Agentic AI in Networks market has seen rapid technological advancements and strategic partnerships. Notably, companies like Cisco Systems and Huawei Technologies have incorporated AI-powered network solutions into their product offerings, focusing on network automation and traffic management.
In 2024, AT&T made significant strides by integrating AI-based fault detection and anomaly detection systems into their network infrastructure, improving operational efficiency and reducing downtime.
Verizon has also launched an AI-driven intrusion detection system (IDS) for real-time threat intelligence in its network services. The rise of edge computing and cloud-based solutions has also significantly impacted the market, enabling seamless scalability and reduced latency in service delivery.
Conclusion
The Agentic AI in Networks market is undergoing rapid growth, with significant technological advancements transforming network management and security. North America remains a dominant region, driven by heavy investments from major players like AT&T and Verizon.
As AI technologies like machine learning and natural language processing mature, the market is expected to experience exponential growth, improving automation, traffic management, and security in networks worldwide. The future of networking is poised to be smarter, faster, and more secure.
➤ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐎𝐭𝐡𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐓𝐨𝐩𝐢𝐜𝐬
- Agentic AI in Business Automation Market – https://market.us/report/agentic-ai-in-business-automation-market/
- Agentic AI For Data Engineering Market – https://market.us/report/agentic-ai-for-data-engineering-market/
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