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Global AI in Networks Market Size Study, by Offering (Routers and Ethernet Switches, Software, AI-Networking Platform, Services), by Technology (Generative AI, Machine Learning, Deep Learning, Natural Language Processing, Others), by Deployment Mode (On-p

Publisher Factview Research
Published Jul 03, 2025
Length 285 Pages
SKU # FAVR20379118

Description

Global AI in Networks Market is estimated at USD 8.52 billion in 2024 and is projected to witness an extraordinary growth rate with a CAGR of 35.1% during the forecast period from 2024 to 2034. AI in Networks encompasses the integration of advanced artificial intelligence technologies within networking infrastructures, aimed at optimizing performance, enhancing security, and improving operational efficiency. This market is rapidly gaining traction as AI-driven solutions become indispensable for managing complex network systems, facilitating automated network management, traffic optimization, and predictive maintenance. As networks continue to expand and diversify, the demand for AI in networks is expected to soar, driven by the necessity for real-time insights, seamless connectivity, and robust cybersecurity.

The Global AI in Networks Market is fueled by increasing demand for automated network management solutions, the growing intricacy of modern networking systems, and the rising necessity for sophisticated cybersecurity protocols. Additionally, the evolution of 5G networks and the proliferation of IoT devices are further augmenting the market, as these advancements generate vast quantities of data requiring advanced AI technologies for effective management. However, challenges such as high implementation costs and the shortage of skilled professionals capable of deploying and managing AI-driven networks may pose significant barriers to market expansion.

The key regions considered for the market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2024, North America is expected to maintain its dominance in the AI in Networks market, supported by its advanced technological infrastructure, substantial investments in AI research, and the presence of major market players. Furthermore, the Asia-Pacific region is poised for the most rapid growth during the forecast period, propelled by accelerated digital transformation, the expansion of 5G networks, and supportive government initiatives promoting the development and adoption of AI and networking technologies.

Major market players included in this report are:

Hewlett Packard Enterprise Development LP

Arista Networks, Inc.

Juniper Networks, Inc.

Ciena Corporation

Extreme Networks

Fujitsu

Huawei Technologies Co., Ltd.

Nokia Corporation

VMware, Inc.

Fortinet, Inc.

The detailed segments and sub-segment of the market are explained below:

By Offering:
  • Routers and Ethernet Switches
  • Software
  • AI-Networking Platform
  • Services
By Technology:
  • Generative AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Other Technologies
By Deployment Mode:
  • On-premises
  • Cloud-based
By Network Function:
  • Network Optimization
  • Network Cybersecurity
  • Network Predictive Maintenance
  • Network Troubleshooting
  • Others
By End-Use Industry:
  • Telecom Service Providers
  • Enterprises
  • Data Centers
  • Government
  • Other End-use Industry
By Region:

North America
  • U.S.
  • Canada
Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
Latin America
  • Brazil
  • Mexico
  • RoLA
Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA
Years considered for the study are as follows:
  • Historical year – 2022
  • Base year – 2024
  • Forecast period – 2024 to 2034
Key Takeaways:
  • Market Estimates & Forecast for 10 years from 2022 to 2034.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

285 Pages
Chapter 1. Global AI in Networks Market Executive Summary
1.1. Global AI in Networks Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Offering
1.3.2. By Technology
1.3.3. By Deployment Mode
1.3.4. By Network Function
1.3.5. By End-Use Industry
1.4. Key Trends
1.5. Recession Impact
1.6 Investment Analysis
1.7 Investment Rationale
1.8 Key Industry Metrics
1.9. Analyst Recommendation & Conclusion
Chapter 2. Global AI in Networks Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer’s Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global AI in Networks Market Dynamics
3.1. Market Drivers
3.1.1. Increasing demand for automated network management
3.1.2. Growing complexity of modern networks
3.1.3. Rising need for enhanced cybersecurity measures
3.2. Market Challenges
3.2.1. High implementation costs
3.2.2. Shortage of skilled professionals
3.3. Market Opportunities
3.3.1. Development of AI-driven 5G networks
3.3.2. Expansion of IoT ecosystems
3.3.3. Adoption of AI in edge computing
Chapter 4. Global AI in Networks Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global AI in Networks Market Size & Forecasts by Offering 2024-2034
5.1. Segment Dashboard
5.2. Global AI in Networks Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Routers and Ethernet Switches
5.2.2. Software
5.2.3. AI-Networking Platform
5.2.4. Services
Chapter 6. Global AI in Networks Market Size & Forecasts by Technology 2024-2034
6.1. Segment Dashboard
6.2. Global AI in Networks Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. Generative AI
6.2.2. Machine Learning
6.2.3. Deep Learning
6.2.4. Natural Language Processing (NLP)
6.2.5. Other Technologies
Chapter 7. Global AI in Networks Market Size & Forecasts by Deployment Mode 2024-2034
7.1. Segment Dashboard
7.2. Global AI in Networks Market: Deployment Mode Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. On-premises
7.2.2. Cloud-based
Chapter 8. Global AI in Networks Market Size & Forecasts by Network Function 2024-2034
8.1. Segment Dashboard
8.2. Global AI in Networks Market: Network Function Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. Network Optimization
8.2.2. Network Cybersecurity
8.2.3. Network Predictive Maintenance
8.2.4. Network Troubleshooting
8.2.5. Others
Chapter 9. Global AI in Networks Market Size & Forecasts by End-Use Industry 2024-2034
9.1. Segment Dashboard
9.2. Global AI in Networks Market: End-Use Industry Revenue Trend Analysis, 2022 & 2032 (USD Billion)
9.2.1. Telecom Service Providers
9.2.2. Enterprises
9.2.3. Data Centers
9.2.4. Government
9.2.5. Other End-use Industry
Chapter 10. Global AI in Networks Market Size & Forecasts by Region 2024-2034
10.1. North America AI in Networks Market
10.1.1. U.S. AI in Networks Market
10.1.1.1. Offering breakdown size & forecasts, 2024-2034
10.1.1.2. Technology breakdown size & forecasts, 2024-2034
10.1.1.3. Deployment Mode breakdown size & forecasts, 2024-2034
10.1.1.4. Network Function breakdown size & forecasts, 2024-2034
10.1.1.5. End-Use Industry breakdown size & forecasts, 2024-2034
10.1.2. Canada AI in Networks Market
10.1.2.1. Offering breakdown size & forecasts, 2024-2034
10.1.2.2. Technology breakdown size & forecasts, 2024-2034
10.1.2.3. Deployment Mode breakdown size & forecasts, 2024-2034
10.1.2.4. Network Function breakdown size & forecasts, 2024-2034
10.1.2.5. End-Use Industry breakdown size & forecasts, 2024-2034
10.2. Europe AI in Networks Market
10.2.1. U.K. AI in Networks Market
10.2.2. Germany AI in Networks Market
10.2.3. France AI in Networks Market
10.2.4. Spain AI in Networks Market
10.2.5. Italy AI in Networks Market
10.2.6. Rest of Europe AI in Networks Market
10.3. Asia-Pacific AI in Networks Market
10.3.1. China AI in Networks Market
10.3.2. India AI in Networks Market
10.3.3. Japan AI in Networks Market
10.3.4. Australia AI in Networks Market
10.3.5. South Korea AI in Networks Market
10.3.6. Rest of Asia Pacific AI in Networks Market
10.4. Latin America AI in Networks Market
10.4.1. Brazil AI in Networks Market
10.4.2. Mexico AI in Networks Market
10.4.3. Rest of Latin America AI in Networks Market
10.5. Middle East & Africa AI in Networks Market
10.5.1. Saudi Arabia AI in Networks Market
10.5.2. South Africa AI in Networks Market
10.5.3. Rest of Middle East & Africa AI in Networks Market
Chapter 11. Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. Company 1
11.1.2. Company 2
11.1.3. Company 3
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. Hewlett Packard Enterprise Development LP
11.3.1.1. Key Information
11.3.1.2. Overview
11.3.1.3. Financial (Subject to Data Availability)
11.3.1.4. Product Summary
11.3.1.5. Market Strategies
11.3.2. Arista Networks, Inc.
11.3.3. Juniper Networks, Inc.
11.3.4. Ciena Corporation
11.3.5. Extreme Networks
11.3.6. Fujitsu
11.3.7. Huawei Technologies Co., Ltd.
11.3.8. Nokia Corporation
11.3.9. VMware, Inc.
11.3.10. Fortinet, Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes

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