Frost Radar™：無線網路效能監控，2026 年

Frost Radar(TM): Wireless Network Performance Monitoring, 2026

出版日期: 2026年08月28日 | 出版商:

Frost & Sullivan | 英文 59 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

無線網路測試設備用於根據網路可用性、連接性和利用率等各種標準評估無線訊號。該市場涵蓋用於測試和檢驗蜂窩無線網路完整性的設備和解決方案。人工智慧在建構、營運和最佳化現代無線網路中發揮核心作用。人工智慧的應用領域十分廣泛，包括預測性維護、流量預測、故障偵測和根本原因分析。不斷發展的無線標準、高密度設備和極其複雜的系統使得網路部署和測試的難度日益增加。隨著無線系統變得越來越複雜，並整合到工業自動化、醫療設備和自動駕駛汽車等關鍵應用中，對全面、精確測試的需求也在不斷成長。設備必須支援的無線協定和頻段數量的不斷增加，清晰地體現了這種複雜性。領先的監控供應商正透過結合資料收集、分析和根本原因分析，從簡單的監控工具發展成為人工智慧驅動的整合保障平台。客戶需要即時異常檢測、人工智慧驅動的根本原因分析和自癒工作流程。

Frost & Sullivan公司對其所在行業的眾多公司進行分析。基於領導力及其他特徵，公司將被選中進行深入分析，並根據10項「成長」和「創新」標準進行基準評估，從而揭示其在Frost Radar™上的位置。本報告呈現每家公司在Frost Radar™上的競爭概況，並充分考慮其優勢以及最適合發揮這些優勢的機會。

策略要務與成長環境

Frost Radar™：無線網路效能監控

行動指南（值得關注的公司）

Accedian Networks
Amdocs
Anritsu Corporation
EXFO
Infovista
Keysight Technologies
Mobileum
Netscout Systems
Rohde &Schwarz
Viavi Solutions

最佳實踐和發展機遇

Frost Radar™ 分析

下一步：利用Frost Radar™ 來增強關鍵相關人員的能力。

登上Frost Radar的意義
CEO成長團隊
投資者
顧客
董事會

未來計劃

免責聲明

簡介目錄

Product Code: PG2Q-30

Wireless network test equipment is used to evaluate wireless signals based on a variety of criteria, including network availability, connectivity, and utilization. The market includes equipment and solutions used to test and validate the integrity of cellular wireless networks. AI is becoming central to how modern wireless networks are built, operated, and optimized. It is used in predictive maintenance, traffic forecasting, fault detection, root cause analysis, and much more. Evolving wireless standards, dense devices, and highly complex systems complicate network deployment and testing. The demand for comprehensive and precise testing grows as wireless systems become more complex and are incorporated into vital applications including industrial automation, healthcare devices, and driverless cars. The increasing number of wireless protocols and frequency bands that devices need to support is a clear indication of this complexity. The best monitoring vendors combine data collection, analytics, and root cause analysis to transition from monitoring tools to closed, AI-driven assurance platforms. Customers want real-time anomaly detection, AI-driven root cause analysis, and self-healing workflows.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.