AI 네트워크 테스트 및 측정(2025-2030년)

Focus on Innovative Business Models Driving Transformational Growth

Artificial intelligence (AI) is widely used across multiple industries, particularly in the communications sector, to enhance, optimize, and automate network infrastructure. Key AI capabilities include machine learning, data analytics, and network automation.

AI helps synchronize data and improve usability, thereby increasing scalability. Demand for rigorous AI infrastructure testing for lifecycle analysis will pave the way for emerging government regulations and compliance requirements. Despite the exponential growth of AI, most major networks are unable to support data-intensive applications and cloud processing. This produces a massive challenge for both network infrastructure manufacturers and AI test and measurement (T&M) vendors. This global study highlights the available test equipment, analyzes key market and regional trends, examines growth opportunities for test vendors in AI networks, and assesses the factors that drive and restrain market growth. As demand for AI infrastructure testing grows, developing cutting-edge T&M solutions, including hardware and software products, will be the need of the hour.

Table of Contents

Market Overview

• Scope of Analysis

Strategic Imperatives

• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8(TM)
• The Impact of the Top 3 Strategic Imperatives on the Test and Measurement in the Artificial Intelligence Networks Industry

Growth Opportunity Analysis

• Growth Drivers
• Growth Restraints
• Market Trends
• Regional Trends
• Competitive Benchmarking

Growth Opportunity Universe

• Growth Opportunity 1: Sustainability
• Growth Opportunity 2: Technological Advancements
• Growth Opportunity 3: AI Workloads

Appendix & Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer