Artificial Intelligence in Computer Networks Market to Witness Steady Growth in 2025: Upcoming Trends, Top Company Analysis and Forecast by 2031

QY Research has recently published a research report titled, "Global Artificial Intelligence in Computer Networks Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031", assessing various factors impacting its trajectory. The research study offers deep evaluation of the global Artificial Intelligence in Computer Networks market and helps market participants to gain a strong foothold in the industry. It sheds light on critical market dynamics such as drivers, restraints, trends, and opportunities to help businesses prepare for any challenges ahead in time. It provides regional analysis of the global Artificial Intelligence in Computer Networks market to unveil key opportunities available in different parts of the world. The competitive landscape is broadly assessed along with company profiling of leading players operating in the global Artificial Intelligence in Computer Networks market. The report provides detailed statistics and accurate market figures, viz. market share, CAGR, gross margin, and those related to revenue, production, consumption, and sales.

The global market for Artificial Intelligence in Computer Networks was estimated to be worth US$ 8926 million in 2024 and is forecast to a readjusted size of US$ 28178 million by 2031 with a CAGR of 18.6% during the forecast period 2025-2031.

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Artificial Intelligence in Computer Networks refers to the integration of AI technologies-such as machine learning, deep learning, and data analytics-into network infrastructure to enable autonomous, adaptive, and intelligent operation. It allows computer networks to analyze traffic patterns, optimize resource allocation, detect and respond to anomalies, and predict potential failures in real time. By embedding AI algorithms within routers, switches, and network management platforms, networks can self-configure, self-heal, and continuously improve performance, security, and energy efficiency without extensive human intervention.

The Artificial Intelligence (AI) in Computer Networks market is rapidly evolving as AI technologies are increasingly integrated into network management, optimization, and security. From a multi-dimensional and parameterized classification standpoint, AI in networking can be segmented by application (network optimization, security, traffic management, predictive maintenance), deployment type (on-premises, cloud, edge), network layer (core, access, transport), and AI model type (machine learning, deep learning, reinforcement learning). Network optimization and anomaly detection represent the largest use cases, while reinforcement learning and federated learning are gaining attention for autonomous and privacy-preserving network control. The technology is particularly crucial in 5G/6G, software-defined networking (SDN), and large-scale data centers where real-time decision-making is essential.

The industry value chain involves a layered and interconnected ecosystem. Upstream suppliers provide semiconductors, AI accelerators, network processors, and training datasets that enable intelligent network functions. Key chip vendors such as NVIDIA, Broadcom, Intel, and Marvell play critical roles in supplying AI-ready hardware. Midstream participants-including network equipment manufacturers (Cisco, Huawei, Juniper), cloud service providers, and AI software developers-integrate AI algorithms into routers, switches, and virtualized network functions. Downstream users encompass telecom operators, hyperscale data centers, enterprise IT infrastructures, and government networks, which deploy AI-driven solutions to improve performance, automate configuration, and strengthen cybersecurity. Partnerships between telecom operators and AI firms are expanding, aiming to achieve autonomous network operation (AIOps) and closed-loop optimization.

From a cost and margin perspective, the market is characterized by heavy R&D and high software value-add. The cost structure mainly includes AI hardware (30-40%), software development and algorithm training (25-35%), and integration or customization services (20-25%). Cloud-based AI network management systems tend to have lower marginal costs once deployed, leading to scalable profitability. Gross margins vary by business model: software vendors often enjoy 45-60%, while hardware-oriented players maintain 25-35%. Integration and consulting services typically achieve mid-range profitability of around 30-40%, depending on complexity and contract duration. As AI capabilities become embedded into standard network infrastructure, recurring software licensing and managed service contracts are expected to become the primary sources of margin expansion.

Future development will center on self-optimizing networks, AI-driven cyber threat detection, and energy-efficient traffic orchestration. The convergence of AI, cloud-native architecture, and edge computing will redefine network intelligence from centralized management toward distributed, adaptive systems. While the market remains concentrated among leading telecom and cloud vendors, open-source AI frameworks and interoperability standards are expected to democratize innovation and expand adoption across enterprises and public infrastructure worldwide.

Leading players of the global Artificial Intelligence in Computer Networks market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global Artificial Intelligence in Computer Networks market.

Key Players Mentioned in the Global Artificial Intelligence in Computer Networks Market Research Report:

Cisco Systems, Inc.
Juniper Networks, Inc.
Huawei Technologies Co., Ltd.
Nokia Corporation
Ericsson AB
Arista Networks, Inc.
Dell Technologies Inc.
Hewlett Packard Enterprise (HPE)
Extreme Networks, Inc.
VMware, Inc.
NVIDIA Corporation
Fortinet, Inc.
Palo Alto Networks, Inc.
IBM Corporation
Google LLC
Samsung Electronics Co Ltd
Microsoft Corporation
Hewlett Packard Enterprise (HPE)
Baidu
Arm Holdings
Intel
Qualcomm
PTC Corporation
ZTE
Fujitsu
NEC Corporation

Market Segments

Our market analysts are experts in deeply segmenting the global Artificial Intelligence in Computer Networks market and thoroughly evaluating the growth potential of each and every segment studied in the report. Right at the beginning of the research study, the segments are compared on the basis of consumption and growth rate for a review period of nine years. The segmentation study included in the report offers a brilliant analysis of the global Artificial Intelligence in Computer Networks market, taking into consideration the market potential of different segments studied. It assists market participants to focus on high-growth areas of the global Artificial Intelligence in Computer Networks market and plan powerful business tactics to secure a position of strength in the industry.

Details of Artificial Intelligence in Computer Networks Market Segmentation: -

Segment by Type:

Networking Equipment
Platforms
Services

Segment by Application:

Network Functions Virtualization (NFV)
5G Networks
IoT Technology
Others

All of the segments studied in the research study are analyzed on the basis of BPS, market share, revenue, and other important factors. Our research study shows how different segments are contributing to the growth of the global Artificial Intelligence in Computer Networks market. It also provides information on key trends related to the segments included in the report. This helps market players to concentrate on high-growth areas of the global Artificial Intelligence in Computer Networks market. The research study also offers separate analysis on the segments on the basis of absolute dollar opportunity.

Segment by Region

North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

How can the research study help your business?

(1) The information presented in the Artificial Intelligence in Computer Networks report helps your decision makers to become prudent and make the best business choices.

(2) The report enables you to see the future of the global Artificial Intelligence in Computer Networks market and accordingly take decisions that will be in the best interest of your business.

(3) It offers you a forward-looking perspective of the global Artificial Intelligence in Computer Networks market drivers and how you can secure significant market gains in the near future.

(4) It provides SWOT analysis of the global Artificial Intelligence in Computer Networks market along with useful graphics and detailed statistics providing quick information about the market's overall progress throughout the forecast period.

(5) It also assesses the changing competitive dynamics of the global Artificial Intelligence in Computer Networks market using pin-point evaluation.

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Table of Contents

1 Market Overview
1.1 Artificial Intelligence in Computer Networks Product Introduction
1.2 Global Artificial Intelligence in Computer Networks Market Size Forecast (2020-2031)
1.3 Artificial Intelligence in Computer Networks Market Trends & Drivers
1.3.1 Artificial Intelligence in Computer Networks Industry Trends
1.3.2 Artificial Intelligence in Computer Networks Market Drivers & Opportunity
1.3.3 Artificial Intelligence in Computer Networks Market Challenges
1.3.4 Artificial Intelligence in Computer Networks Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered

2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Computer Networks Players Revenue Ranking (2024)
2.2 Global Artificial Intelligence in Computer Networks Revenue by Company (2020-2025)
2.3 Key Companies Artificial Intelligence in Computer Networks Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Computer Networks Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Computer Networks
2.6 Artificial Intelligence in Computer Networks Market Competitive Analysis
2.6.1 Artificial Intelligence in Computer Networks Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Computer Networks Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Computer Networks as of 2024)
2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Networking Equipment
3.1.2 Platforms
3.1.3 Services
3.2 Global Artificial Intelligence in Computer Networks Sales Value by Type
3.2.1 Global Artificial Intelligence in Computer Networks Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Artificial Intelligence in Computer Networks Sales Value, by Type (2020-2031)
3.2.3 Global Artificial Intelligence in Computer Networks Sales Value, by Type (%) (2020-2031)

4 Segmentation by Deployment
4.1 Introduction by Deployment
4.1.1 On-premises
4.1.2 Cloud
4.1.3 Edge
4.2 Global Artificial Intelligence in Computer Networks Sales Value by Deployment
4.2.1 Global Artificial Intelligence in Computer Networks Sales Value by Deployment (2020 VS 2024 VS 2031)
4.2.2 Global Artificial Intelligence in Computer Networks Sales Value, by Deployment (2020-2031)
4.2.3 Global Artificial Intelligence in Computer Networks Sales Value, by Deployment (%) (2020-2031)

5 Segmentation by Network Layer
5.1 Introduction by Network Layer
5.1.1 Core
5.1.2 Access
5.1.3 Transport
5.2 Global Artificial Intelligence in Computer Networks Sales Value by Network Layer
5.2.1 Global Artificial Intelligence in Computer Networks Sales Value by Network Layer (2020 VS 2024 VS 2031)
5.2.2 Global Artificial Intelligence in Computer Networks Sales Value, by Network Layer (2020-2031)
5.2.3 Global Artificial Intelligence in Computer Networks Sales Value, by Network Layer (%) (2020-2031)

6 Segmentation by AI Model
6.1 Introduction by AI Model
6.1.1 Machine Learning
6.1.2 Deep Learning
6.1.3 Reinforcement Learning
6.2 Global Artificial Intelligence in Computer Networks Sales Value by AI Model
6.2.1 Global Artificial Intelligence in Computer Networks Sales Value by AI Model (2020 VS 2024 VS 2031)
6.2.2 Global Artificial Intelligence in Computer Networks Sales Value, by AI Model (2020-2031)
6.2.3 Global Artificial Intelligence in Computer Networks Sales Value, by AI Model (%) (2020-2031)

7 Segmentation by Application
7.1 Introduction by Application
7.1.1 Network Functions Virtualization (NFV)
7.1.2 5G Networks
7.1.3 IoT Technology
7.1.4 Others
7.2 Global Artificial Intelligence in Computer Networks Sales Value by Application
7.2.1 Global Artificial Intelligence in Computer Networks Sales Value by Application (2020 VS 2024 VS 2031)
7.2.2 Global Artificial Intelligence in Computer Networks Sales Value, by Application (2020-2031)
7.2.3 Global Artificial Intelligence in Computer Networks Sales Value, by Application (%) (2020-2031)

8 Segmentation by Region
8.1 Global Artificial Intelligence in Computer Networks Sales Value by Region
8.1.1 Global Artificial Intelligence in Computer Networks Sales Value by Region: 2020 VS 2024 VS 2031
8.1.2 Global Artificial Intelligence in Computer Networks Sales Value by Region (2020-2025)
8.1.3 Global Artificial Intelligence in Computer Networks Sales Value by Region (2026-2031)
8.1.4 Global Artificial Intelligence in Computer Networks Sales Value by Region (%), (2020-2031)
8.2 North America
8.2.1 North America Artificial Intelligence in Computer Networks Sales Value, 2020-2031
8.2.2 North America Artificial Intelligence in Computer Networks Sales Value by Country (%), 2024 VS 2031
8.3 Europe
8.3.1 Europe Artificial Intelligence in Computer Networks Sales Value, 2020-2031
8.3.2 Europe Artificial Intelligence in Computer Networks Sales Value by Country (%), 2024 VS 2031
8.4 Asia Pacific
8.4.1 Asia Pacific Artificial Intelligence in Computer Networks Sales Value, 2020-2031
8.4.2 Asia Pacific Artificial Intelligence in Computer Networks Sales Value by Region (%), 2024 VS 2031
8.5 South America
8.5.1 South America Artificial Intelligence in Computer Networks Sales Value, 2020-2031
8.5.2 South America Artificial Intelligence in Computer Networks Sales Value by Country (%), 2024 VS 2031
8.6 Middle East & Africa
8.6.1 Middle East & Africa Artificial Intelligence in Computer Networks Sales Value, 2020-2031
8.6.2 Middle East & Africa Artificial Intelligence in Computer Networks Sales Value by Country (%), 2024 VS 2031

9 Segmentation by Key Countries/Regions
9.1 Key Countries/Regions Artificial Intelligence in Computer Networks Sales Value Growth Trends, 2020 VS 2024 VS 2031
9.2 Key Countries/Regions Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.3 United States
9.3.1 United States Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.3.2 United States Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.3.3 United States Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.4 Europe
9.4.1 Europe Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.4.2 Europe Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.4.3 Europe Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.5 China
9.5.1 China Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.5.2 China Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.5.3 China Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.6 Japan
9.6.1 Japan Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.6.2 Japan Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.6.3 Japan Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.7 South Korea
9.7.1 South Korea Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.7.2 South Korea Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.7.3 South Korea Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.8 Southeast Asia
9.8.1 Southeast Asia Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.8.2 Southeast Asia Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.8.3 Southeast Asia Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031
9.9 India
9.9.1 India Artificial Intelligence in Computer Networks Sales Value, 2020-2031
9.9.2 India Artificial Intelligence in Computer Networks Sales Value by Type (%), 2024 VS 2031
9.9.3 India Artificial Intelligence in Computer Networks Sales Value by Application, 2024 VS 2031

10 Company Profiles
10.1 Cisco Systems
10.1.1 Cisco Systems Profile
10.1.2 Cisco Systems Main Business
10.1.3 Cisco Systems Artificial Intelligence in Computer Networks Products, Services and Solutions
10.1.4 Cisco Systems Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.1.5 Cisco Systems Recent Developments
10.2 Hewlett Packard Enterprise (HPE)
10.2.1 Hewlett Packard Enterprise (HPE) Profile
10.2.2 Hewlett Packard Enterprise (HPE) Main Business
10.2.3 Hewlett Packard Enterprise (HPE) Artificial Intelligence in Computer Networks Products, Services and Solutions
10.2.4 Hewlett Packard Enterprise (HPE) Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.2.5 Hewlett Packard Enterprise (HPE) Recent Developments
10.3 IBM Corporation
10.3.1 IBM Corporation Profile
10.3.2 IBM Corporation Main Business
10.3.3 IBM Corporation Artificial Intelligence in Computer Networks Products, Services and Solutions
10.3.4 IBM Corporation Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.3.5 IBM Corporation Recent Developments
10.4 Samsung Electronics Co Ltd
10.4.1 Samsung Electronics Co Ltd Profile
10.4.2 Samsung Electronics Co Ltd Main Business
10.4.3 Samsung Electronics Co Ltd Artificial Intelligence in Computer Networks Products, Services and Solutions
10.4.4 Samsung Electronics Co Ltd Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.4.5 Samsung Electronics Co Ltd Recent Developments
10.5 Baidu
10.5.1 Baidu Profile
10.5.2 Baidu Main Business
10.5.3 Baidu Artificial Intelligence in Computer Networks Products, Services and Solutions
10.5.4 Baidu Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.5.5 Baidu Recent Developments
10.6 Nvidia
10.6.1 Nvidia Profile
10.6.2 Nvidia Main Business
10.6.3 Nvidia Artificial Intelligence in Computer Networks Products, Services and Solutions
10.6.4 Nvidia Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.6.5 Nvidia Recent Developments
10.7 Google
10.7.1 Google Profile
10.7.2 Google Main Business
10.7.3 Google Artificial Intelligence in Computer Networks Products, Services and Solutions
10.7.4 Google Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.7.5 Google Recent Developments
10.8 Microsoft Corporation
10.8.1 Microsoft Corporation Profile
10.8.2 Microsoft Corporation Main Business
10.8.3 Microsoft Corporation Artificial Intelligence in Computer Networks Products, Services and Solutions
10.8.4 Microsoft Corporation Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.8.5 Microsoft Corporation Recent Developments
10.9 Dell
10.9.1 Dell Profile
10.9.2 Dell Main Business
10.9.3 Dell Artificial Intelligence in Computer Networks Products, Services and Solutions
10.9.4 Dell Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.9.5 Dell Recent Developments
10.10 Nokia Corporation
10.10.1 Nokia Corporation Profile
10.10.2 Nokia Corporation Main Business
10.10.3 Nokia Corporation Artificial Intelligence in Computer Networks Products, Services and Solutions
10.10.4 Nokia Corporation Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.10.5 Nokia Corporation Recent Developments
10.11 Arm Holdings
10.11.1 Arm Holdings Profile
10.11.2 Arm Holdings Main Business
10.11.3 Arm Holdings Artificial Intelligence in Computer Networks Products, Services and Solutions
10.11.4 Arm Holdings Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.11.5 Arm Holdings Recent Developments
10.12 Intel
10.12.1 Intel Profile
10.12.2 Intel Main Business
10.12.3 Intel Artificial Intelligence in Computer Networks Products, Services and Solutions
10.12.4 Intel Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.12.5 Intel Recent Developments
10.13 Qualcomm
10.13.1 Qualcomm Profile
10.13.2 Qualcomm Main Business
10.13.3 Qualcomm Artificial Intelligence in Computer Networks Products, Services and Solutions
10.13.4 Qualcomm Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.13.5 Qualcomm Recent Developments
10.14 PTC Corporation
10.14.1 PTC Corporation Profile
10.14.2 PTC Corporation Main Business
10.14.3 PTC Corporation Artificial Intelligence in Computer Networks Products, Services and Solutions
10.14.4 PTC Corporation Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.14.5 PTC Corporation Recent Developments
10.15 Huawei
10.15.1 Huawei Profile
10.15.2 Huawei Main Business
10.15.3 Huawei Artificial Intelligence in Computer Networks Products, Services and Solutions
10.15.4 Huawei Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.15.5 Huawei Recent Developments
10.16 ZTE
10.16.1 ZTE Profile
10.16.2 ZTE Main Business
10.16.3 ZTE Artificial Intelligence in Computer Networks Products, Services and Solutions
10.16.4 ZTE Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.16.5 ZTE Recent Developments
10.17 Ericsson AB
10.17.1 Ericsson AB Profile
10.17.2 Ericsson AB Main Business
10.17.3 Ericsson AB Artificial Intelligence in Computer Networks Products, Services and Solutions
10.17.4 Ericsson AB Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.17.5 Ericsson AB Recent Developments
10.18 Fujitsu
10.18.1 Fujitsu Profile
10.18.2 Fujitsu Main Business
10.18.3 Fujitsu Artificial Intelligence in Computer Networks Products, Services and Solutions
10.18.4 Fujitsu Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.18.5 Fujitsu Recent Developments
10.19 NEC Corporation
10.19.1 NEC Corporation Profile
10.19.2 NEC Corporation Main Business
10.19.3 NEC Corporation Artificial Intelligence in Computer Networks Products, Services and Solutions
10.19.4 NEC Corporation Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.19.5 NEC Corporation Recent Developments
10.20 Juniper Networks
10.20.1 Juniper Networks Profile
10.20.2 Juniper Networks Main Business
10.20.3 Juniper Networks Artificial Intelligence in Computer Networks Products, Services and Solutions
10.20.4 Juniper Networks Artificial Intelligence in Computer Networks Revenue (US$ Million) & (2020-2025)
10.20.5 Juniper Networks Recent Developments

11 Industry Chain Analysis
11.1 Artificial Intelligence in Computer Networks Industrial Chain
11.2 Artificial Intelligence in Computer Networks Upstream Analysis
11.2.1 Key Raw Materials
11.2.2 Raw Materials Key Suppliers
11.2.3 Manufacturing Cost Structure
11.3 Midstream Analysis
11.4 Downstream Analysis (Customers Analysis)
11.5 Sales Model and Sales Channels
11.5.1 Artificial Intelligence in Computer Networks Sales Model
11.5.2 Sales Channel
11.5.3 Artificial Intelligence in Computer Networks Distributors

12 Research Findings and Conclusion

13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

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