Table of Contents
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. 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 2024-2032
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 2024-2032
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 2024-2032
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 2024-2032
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 2024-2032
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 2024-2032
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, 2024-2032
10.1.1.2. Technology breakdown size & forecasts, 2024-2032
10.1.1.3. Deployment Mode breakdown size & forecasts, 2024-2032
10.1.1.4. Network Function breakdown size & forecasts, 2024-2032
10.1.1.5. End-Use Industry breakdown size & forecasts, 2024-2032
10.1.2. Canada AI in Networks Market
10.1.2.1. Offering breakdown size & forecasts, 2024-2032
10.1.2.2. Technology breakdown size & forecasts, 2024-2032
10.1.2.3. Deployment Mode breakdown size & forecasts, 2024-2032
10.1.2.4. Network Function breakdown size & forecasts, 2024-2032
10.1.2.5. End-Use Industry breakdown size & forecasts, 2024-2032
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
11.2. 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