TABLE OF CONTENTS
1 Introduction
1.1. Study Objectives
1.2. Market Definition and Scope
1.2.1. Inclusions and Exclusions
1.3. Study Scope
1.3.1. Markets Covered
1.3.2. Geographic Segmentation
1.3.3. Years Considered for the study
1.4. Currency
1.5. Limitations
1.6. Stakeholders
1.7. Recession Impact on AI in Networks Market
2 Research Methodology
2.1. Research Data
2.1.1. Secondary Data
2.1.1.1. Major Secondary Sources
2.1.1.2. Key Data from Secondary Sources
2.1.2. Primary Data
2.1.2.1. Primary Interviews with Experts
2.1.2.2. Key Data from Primary Sources
2.1.2.3. Key Industry Insights
2.1.2.4. Breakdown of Primaries
2.2. Market Size Estimation
2.2.1. Bottom-Up Approach
2.2.1.1. Approach for Capturing Market Share by Bottom-Up Analysis (Demand Side)
2.2.2. Top-Down Approach
2.2.2.1. Approach for Capturing Market Share by Top-Down Analysis (Supply Side)
2.3. Market Breakdown and Data Triangulation
2.4. Research Assumptions
2.5. Risk Assessment
2.6. Assumptions of Recession
2.7. Limitations of Research
3 Executive Summary
4 Premium Insights
5 Market Overview
5.1. Introduction
5.2. Market Dynamics
5.3. Trends/Disruptions Impacting Customer’s Business
5.4. Pricing Analysis
5.4.1. Average Selling Price Trend of Key Players, By Component
5.4.2. Average Selling Price Trend, By Region
5.5. Value Chain Analysis
5.6. Ecosystem Analysis
5.7. Investment and Funding Scenario
5.8. Funding, By Application
5.9. Technology Analysis
5.9.1. Key Technology
5.9.2. Complementary Technology
5.9.3. Adjacent Technology
5.10. Patent Analysis
5.11. Trade Analysis
5.12. Key Conferences and Events (2024-2025)
5.13. Case Study Analysis
5.14. Tariff and Regulatory Landscape
5.14.1. Regulatory Bodies, Government Agencies, and Other Organizations
5.14.2. Key Regulations
5.15. Porters Five Force Analysis
5.15.1. Threat from New Entrants
5.15.2. Threat of Substitutes
5.15.3. Bargaining Power of Suppliers
5.15.4. Bargaining Power of Buyers
5.15.5. Intensity of Competitive Rivalry
5.16. Key Stakeholders and Buying Criteria
5.16.1. Key Stakeholders in Buying Process
5.16.2. Buying Criteria
6 AI in Networks Market, By Component
6.1. Introduction
6.2. Hardware
6.2.1. Routers and Switches
6.2.2. Servers
6.2.3. Network Interface Cards (NICs)
6.2.4. Storage Systems
6.2.5. AI Chipset
6.2.5.1.GPU
6.2.5.2.TPU
6.2.6. Others
6.3. Software
6.3.1. Network Management Software
6.3.2. Network Security Software
6.3.3. Network Analytics
6.4. Services
7 AI in Networks Market, By Deployment Mode
7.1. Introduction
7.2. On-premises
7.3. Cloud
7.4. Hybrid
8 AI in Networks Market, By Technology
8.1. Introduction
8.2. Machine Learning
8.3. Deep Learning
8.4. Natural Language Processing (NLP)
8.5. Others
9 AI in Networks Market, By Application
9.1. Introduction
9.2. Network Optimization
9.3. Network Security
9.4. Predictive Maintenance
9.5. Fraud Detection
9.6. Others
10 AI in Networks Market, By End-users
10.1. Introduction
10.2. Telecom Service Providers
10.3. Enterprises
10.3.1. Large Enterprises
10.3.2. SMEs
10.4. Data Centers
10.5. Government
10.6. Others
11 AI in Networks Market, By Region
11.1. Introduction
11.2. North America
11.2.1. Impact of Recession
11.2.2. US
11.2.3. Canada
11.2.4. Mexico
11.3. Europe
11.3.1. Impact of Recession
11.3.2. UK
11.3.3. Germany
11.3.4. France
11.3.5. Italy
11.3.6. Rest of Europe
11.4. Asia Pacific
11.4.1. Impact of Recession
11.4.2. China
11.4.3. Japan
11.4.4. South Korea
11.4.5. Rest of Asia Pacific
11.5. RoW
11.5.1. Impact of Recession
11.5.2. Middle East
11.5.2.1. GCC Countries
11.5.2.2. Rest of Middle East
11.5.3. Africa
11.5.4. South America
12 AI in Networks Market, Competitive Landscape
12.1. Revenue Analysis
12.2. Market Share Analysis
12.3. Company Valuation and Financial Metrics
12.4. Brand/Product Comparison
12.5. Company Evaluation Matrix: Key Players, 2023
12.5.1. Stars
12.5.2. Emerging Leaders
12.5.3. Pervasive Players
12.5.4. Participants
12.5.5. Company Footprint: Key Players, 2023
12.5.5.1. Company Footprint
12.5.5.2. Region Footprint
12.5.5.3. End-user Industry Footprint
12.5.5.4. Application Footprint
12.5.5.5. Technology Footprint
12.5.5.6. Deployment Mode Footprint
12.5.5.7. Component Footprint
12.6. Company Evaluation Matrix: Startups/SMEs, 2023
12.6.1. Progressive Companies
12.6.2. Responsive Companies
12.6.3. Dynamic Companies
12.6.4. Starting Blocks
12.6.5. Competitive Benchmarking: Startups/SMEs, 2023
12.6.5.1. Detailed List of Key Startups/SMEs
12.6.5.2. Competitive Benchmarking of Key Startups/SMEs
12.7. Competitive Situation and Trends
13 AI in Networks Market, Company Profiles
13.1. Key Players
13.1.1. Alphabet
13.1.2. Amazon
13.1.3. Arista Networks
13.1.4. Ciena
13.1.5. Cisco
13.1.6. Ericsson
13.1.7. Fortinet
13.1.8. Hewlett Packard Enterprises (HPE)
13.1.9. Huawei
13.1.10. IBM
13.1.11. Intel Corporation
13.1.12. Juniper Networks
13.1.13. Microsoft Corporation
13.1.14. NEC Corporation
13.1.15. Nokia
13.1.16. Palo Alto Networks
13.1.17. VMware
13.1.18. ZTE Corporation
13.2. Other Players
14 Appendix
14.1. Discussion Guide
14.2. Knowledge Store: MarketsandMarkets’ Subscription Portal
14.3. Available Customizations
14.4. Related Reports
14.5. Author Details
Note 1: The above list of companies is tentative and might change during the due course of research.
Note 2: The current table of contents is tentative and is subject to change as we progress with our research.
Growth opportunities and latent adjacency in AI in Networks Market