1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
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
5.1. COVID-19 Landscape: U.S. AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: 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
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
8.1. U.S. AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market, by Component
8.1.1. Software
8.1.1.1. Market Revenue and Forecast
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast
8.1.3. Services
8.1.3.1. Market Revenue and Forecast
9.1. U.S. AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market, by RAN Architecture/Technology
9.1.1. Open RAN (O-RAN)
9.1.1.1. Market Revenue and Forecast
9.1.2. vRAN (Virtual RAN)
9.1.2.1. Market Revenue and Forecast
9.1.3. Hybrid RAN
9.1.3.1. Market Revenue and Forecast
10.1. U.S. AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market, by Deployment
10.1.1. On-Premises
10.1.1.1. Market Revenue and Forecast
10.1.2. Cloud
10.1.2.1. Market Revenue and Forecast
11.1. U.S. AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market, by End-User
11.1.1. Telecom Operators
11.1.1.1. Market Revenue and Forecast
11.1.2. Enterprises
11.1.2.1. Market Revenue and Forecast
11.1.3. Government/Others
11.1.3.1. Market Revenue and Forecast
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component
12.1.5.2. Market Revenue and Forecast, by RAN Architecture/Technology
12.1.5.3. Market Revenue and Forecast, by Deployment
12.1.5.4. Market Revenue and Forecast, by End-User
13.1. Nokia
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Ericsson
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Huawei
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Samsung Electronics
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Qualcomm
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. NVIDIA
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Intel
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Cisco Systems
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. NEC Corporation
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. ZTE Corporation
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
15.1. About Us
15.2. Glossary of Terms
For questions or customization requests, please reach out to us at sales@precedenceresearch.com
No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client
