AI in Networking and Edge Platform Market Size, Share, and Trends 2026 to 2035

AI in Networking and Edge Platform Market (By Component: Hardware, Software, Services; By Deployment Type: On-Premises, Cloud, Hybrid; By Infrastructure Type: Hyperscale Data Centers, Enterprise Data Centers, Edge Data Centers; By Application: Network Optimization, Predictive Maintenance, Traffic Management, Security & Threat Detection, Edge Analytics/Real-time AI, Others; By End-Use Industry: Telecommunications, IT & Data Centers, Manufacturing, Healthcare, Retail, Smart Cities/Public Sector, Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 27 Apr 2026  |  Report Code : 8344  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology 

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Networking and Edge Platform Market 

5.1. COVID-19 Landscape: AI in Networking and Edge Platform Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Networking and Edge Platform Market, By Component

8.1. AI in Networking and Edge Platform Market, by Component

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast

8.1.2. Software

8.1.2.1. Market Revenue and Forecast

8.1.3. Services

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global AI in Networking and Edge Platform Market, By Deployment Type

9.1. AI in Networking and Edge Platform Market, by Deployment Type

9.1.1. On-Premises

9.1.1.1. Market Revenue and Forecast

9.1.2. Cloud

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global AI in Networking and Edge Platform Market, By Infrastructure Type 

10.1. AI in Networking and Edge Platform Market, by Infrastructure Type

10.1.1. Hyperscale Data Centers

10.1.1.1. Market Revenue and Forecast

10.1.2. Enterprise Data Centers

10.1.2.1. Market Revenue and Forecast

10.1.3. Edge Data Centers

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global AI in Networking and Edge Platform Market, By Application

11.1. AI in Networking and Edge Platform Market, by Application

11.1.1. Network Optimization

11.1.1.1. Market Revenue and Forecast

11.1.2. Predictive Maintenance

11.1.2.1. Market Revenue and Forecast

11.1.3. Traffic Management

11.1.3.1. Market Revenue and Forecast

11.1.4. Security & Threat Detection

11.1.4.1. Market Revenue and Forecast

11.1.5. Edge Analytics/Real-time AI

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global AI in Networking and Edge Platform Market, By End-Use Industry

12.1. AI in Networking and Edge Platform Market, by End-Use Industry

12.1.1. Telecommunications

12.1.1.1. Market Revenue and Forecast

12.1.2. IT & Data Centers

12.1.2.1. Market Revenue and Forecast

12.1.3. Manufacturing

12.1.3.1. Market Revenue and Forecast

12.1.4. Healthcare

12.1.4.1. Market Revenue and Forecast

12.1.5. Retail

12.1.5.1. Market Revenue and Forecast

Chapter 13. Global AI in Networking and Edge Platform Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component

13.1.2. Market Revenue and Forecast, by Deployment Type

13.1.3. Market Revenue and Forecast, by Infrastructure Type

13.1.4. Market Revenue and Forecast, by Application

13.1.5. Market Revenue and Forecast, by End-Use Industry

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component

13.1.6.2. Market Revenue and Forecast, by Deployment Type

13.1.6.3. Market Revenue and Forecast, by Infrastructure Type

13.1.6.4. Market Revenue and Forecast, by Application

13.1.6.5. Market Revenue and Forecast, by End-Use Industry  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component

13.1.7.2. Market Revenue and Forecast, by Deployment Type

13.1.7.3. Market Revenue and Forecast, by Infrastructure Type

13.1.7.4. Market Revenue and Forecast, by Application

13.1.7.5. Market Revenue and Forecast, by End-Use Industry

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component

13.2.2. Market Revenue and Forecast, by Deployment Type

13.2.3. Market Revenue and Forecast, by Infrastructure Type

13.2.4. Market Revenue and Forecast, by Application  

13.2.5. Market Revenue and Forecast, by End-Use Industry  

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component

13.2.6.2. Market Revenue and Forecast, by Deployment Type

13.2.6.3. Market Revenue and Forecast, by Infrastructure Type

13.2.7. Market Revenue and Forecast, by Application  

13.2.8. Market Revenue and Forecast, by End-Use Industry  

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component

13.2.9.2. Market Revenue and Forecast, by Deployment Type

13.2.9.3. Market Revenue and Forecast, by Infrastructure Type

13.2.10. Market Revenue and Forecast, by Application

13.2.11. Market Revenue and Forecast, by End-Use Industry

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component

13.2.12.2. Market Revenue and Forecast, by Deployment Type

13.2.12.3. Market Revenue and Forecast, by Infrastructure Type

13.2.12.4. Market Revenue and Forecast, by Application

13.2.13. Market Revenue and Forecast, by End-Use Industry

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component

13.2.14.2. Market Revenue and Forecast, by Deployment Type

13.2.14.3. Market Revenue and Forecast, by Infrastructure Type

13.2.14.4. Market Revenue and Forecast, by Application

13.2.15. Market Revenue and Forecast, by End-Use Industry

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component

13.3.2. Market Revenue and Forecast, by Deployment Type

13.3.3. Market Revenue and Forecast, by Infrastructure Type

13.3.4. Market Revenue and Forecast, by Application

13.3.5. Market Revenue and Forecast, by End-Use Industry

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component

13.3.6.2. Market Revenue and Forecast, by Deployment Type

13.3.6.3. Market Revenue and Forecast, by Infrastructure Type

13.3.6.4. Market Revenue and Forecast, by Application

13.3.7. Market Revenue and Forecast, by End-Use Industry

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component

13.3.8.2. Market Revenue and Forecast, by Deployment Type

13.3.8.3. Market Revenue and Forecast, by Infrastructure Type

13.3.8.4. Market Revenue and Forecast, by Application

13.3.9. Market Revenue and Forecast, by End-Use Industry

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component

13.3.10.2. Market Revenue and Forecast, by Deployment Type

13.3.10.3. Market Revenue and Forecast, by Infrastructure Type

13.3.10.4. Market Revenue and Forecast, by Application

13.3.10.5. Market Revenue and Forecast, by End-Use Industry

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component

13.3.11.2. Market Revenue and Forecast, by Deployment Type

13.3.11.3. Market Revenue and Forecast, by Infrastructure Type

13.3.11.4. Market Revenue and Forecast, by Application

13.3.11.5. Market Revenue and Forecast, by End-Use Industry

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component

13.4.2. Market Revenue and Forecast, by Deployment Type

13.4.3. Market Revenue and Forecast, by Infrastructure Type

13.4.4. Market Revenue and Forecast, by Application

13.4.5. Market Revenue and Forecast, by End-Use Industry

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component

13.4.6.2. Market Revenue and Forecast, by Deployment Type

13.4.6.3. Market Revenue and Forecast, by Infrastructure Type

13.4.6.4. Market Revenue and Forecast, by Application

13.4.7. Market Revenue and Forecast, by End-Use Industry

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component

13.4.8.2. Market Revenue and Forecast, by Deployment Type

13.4.8.3. Market Revenue and Forecast, by Infrastructure Type

13.4.8.4. Market Revenue and Forecast, by Application

13.4.9. Market Revenue and Forecast, by End-Use Industry

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component

13.4.10.2. Market Revenue and Forecast, by Deployment Type

13.4.10.3. Market Revenue and Forecast, by Infrastructure Type

13.4.10.4. Market Revenue and Forecast, by Application

13.4.10.5. Market Revenue and Forecast, by End-Use Industry

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component

13.4.11.2. Market Revenue and Forecast, by Deployment Type

13.4.11.3. Market Revenue and Forecast, by Infrastructure Type

13.4.11.4. Market Revenue and Forecast, by Application

13.4.11.5. Market Revenue and Forecast, by End-Use Industry

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component

13.5.2. Market Revenue and Forecast, by Deployment Type

13.5.3. Market Revenue and Forecast, by Infrastructure Type

13.5.4. Market Revenue and Forecast, by Application

13.5.5. Market Revenue and Forecast, by End-Use Industry

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component

13.5.6.2. Market Revenue and Forecast, by Deployment Type

13.5.6.3. Market Revenue and Forecast, by Infrastructure Type

13.5.6.4. Market Revenue and Forecast, by Application

13.5.7. Market Revenue and Forecast, by End-Use Industry

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component

13.5.8.2. Market Revenue and Forecast, by Deployment Type

13.5.8.3. Market Revenue and Forecast, by Infrastructure Type

13.5.8.4. Market Revenue and Forecast, by Application

13.5.8.5. Market Revenue and Forecast, by End-Use Industry

Chapter 14. Company Profiles

14.1. Juniper Networks, Inc.

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Arista Networks, Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Hewlett Packard Enterprise (HPE)

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Nokia Corporation

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Intel Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. NVIDIA Corporation

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. IBM Corporation

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Ciena Corporation

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Extreme Networks, Inc.

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Dell Technologies, Inc

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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Frequently Asked Questions

Answer : The AI in networking and edge platform market size is expected to increase from USD 12.30 billion in 2025 to USD 92.08 billion by 2035.

Answer : The AI in networking and edge platform market is expected to grow at a compound annual growth rate (CAGR) of around 22.30% from 2026 to 2035.

Answer : The major players in the AI in networking and edge platform market include Juniper Networks, Inc., Arista Networks, Inc., Hewlett Packard Enterprise (HPE), Nokia Corporation, Intel Corporation, NVIDIA Corporation, IBM Corporation, Ciena Corporation, Extreme Networks, Inc., Dell Technologies, Inc, VMware, Inc, Keysight Technologies, HCL Technologies (Networking AI Solutions), and Qualcomm Technologies, Inc.

Answer : The driving factors of the AI in networking and edge platform market are the increasing demand for real-time decision-making in applications, such as autonomous systems and IoT, coupled with the need for better data privacy and reduced network latency.

Answer : North America region will lead the global AI in networking and edge platform market during the forecast period 2026 to 2035.

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