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市場調查報告書
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2109269

群眾外包測試市場機會、成長促進因素、產業趨勢分析及2026-2035年預測

Crowdsourced Testing Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 255 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球群眾外包測試市場預計到 2025 年將達到 31 億美元，年複合成長率為 11.2%，到 2035 年將達到 87 億美元。

群眾外包測試市場-IMG1

隨著企業加速數位轉型，並提高跨Web、行動和雲端平台軟體發布頻率，市場正在不斷擴張。更短的開發週期推動了對擴充性品質保證解決方案的需求，這些解決方案能夠在部署前檢驗應用程式在不同使用者環境下的相容性。隨著軟體開發實踐不斷向持續整合 (CI) 和持續交付 (CD) 轉變，企業需要能夠兼顧應用程式品質和不斷加快的發布速度的測試模型。群眾外包測試透過提供一個分散式測試社群來滿足這一需求，該社群可以同時在多種裝置、作業系統、瀏覽器和網路環境下評估軟體。整合測試工作流程的日益普及也透過將自動化品質檢驗與真實用戶測試相結合，改進了軟體驗證，使企業能夠識別僅靠自動化測試可能遺漏的問題。對跨平台相容性、在地化檢驗和使用者體驗檢驗日益成長的需求進一步增強了群眾外包軟體測試市場的長期前景，使其成為現代軟體開發和品質保證策略中日益重要的組成部分。

市場範圍
開始年份 2025
預測期 2026-2035
初始市場規模 31億美元
預計金額 87億美元
複合年成長率 11.2%

預計到2025年，服務業將佔據59.4%的市場佔有率，並在2026年至2035年間以9.8%的複合年成長率成長。該行業涵蓋由專業服務提供者提供的託管測試、品質保證諮詢、缺陷檢驗、報告和綜合測試服務。企業越來越傾向於外包服務模式，因為這種模式既能減輕內部品質保證團隊的負擔，又能提供專業的專案管理、經驗證的缺陷識別、可操作的品質洞察以及系統化的測試流程。對託管檢驗服務的需求仍然強勁，尤其是在那些運作複雜軟體環境、需要可靠的品管和全面測試支援的組織中。

預計到2025年，託管式群眾外包測試市場將佔61.1%的市場。越來越多的企業將端到端的測試活動外包給專業的服務供應商，由他們負責管理測試人員協調、專案規劃、執行、問題檢驗以及在整個軟體開發生命週期中的報告撰寫。這種方式使內部開發團隊能夠專注於創新，同時透過經驗豐富的測試專業人員確保全面的品質保證。對結構化管治、標準化調查方法和詳細報告日益成長的需求，正在推動各種規模企業持續擴展託管式群眾外包測試服務。

中國群眾外包測試市場佔43%的市場佔有率，預計2025年市場規模將達3億美元。中國軟體產業和數位經濟的持續擴張，推動了對能夠支持大規模應用開發的高級品質保證服務的需求成長。數位應用的快速成長和下一代通訊技術的廣泛應用，進一步提升了對跨平台相容性測試、效能檢驗和軟體品質保證的需求。在預測期內，對測試基礎設施和軟體品質能力的持續投入將有力地支撐該地區的市場成長。

目錄

第1章：調查方法

第2章執行摘要

第3章 行業洞察

  • 產業生態系分析
    • 供應商情況
    • 利潤率分析
    • 成本結構
    • 每個階段增加的價值
    • 影響價值鏈的因素
    • 中斷
  • 影響產業的因素
    • 促進因素
      • 5G網路部署加速以及對RAN/核心檢驗日益成長的需求。
      • 擴大 SD-WAN、SASE 和雲端原生網路的應用程式。
      • 網路虛擬化和軟體定義基礎設施的激增
      • 關鍵產業對網路安全測試的需求日益成長。
    • 產業潛在風險與挑戰
      • 基於硬體的網路仿真設備購置成本高昂
      • 熟練的網路測試專家短缺
    • 市場機遇
      • 「模擬即服務 (EaaS)」與雲端原生部署模式的興起
      • 低地球軌道衛星和非地面網路（NTN）試驗需求
      • 擴大自動駕駛汽車、V2X 和互聯出行的測試範圍。
      • 物聯網和邊緣運算的普及推動了分散式測試的需求。
  • 成長潛力分析
  • 技術與創新展望
    • 最新科技趨勢
      • 基於硬體的高速網路仿真，用於 5G 和乙太檢驗
      • 面向 SD-WAN、NFV 和雲端環境的虛擬化網路仿真
      • 人工智慧驅動的流量產生和即時網路效能分析
    • 新興技術
      • 基於人工智慧的自主網路模擬與自最佳化測試環境
      • 利用數位孿生進行網路建模和端到端基礎設施仿真
      • 6G、非地面電波網路（NTN）及邊緣原生網路仿真
  • 價格分析
    • 對過去價格趨勢的分析
    • 定價策略：按業務類型分類
  • 監理情勢
    • 北美洲
      • 美國國家標準與技術研究院 (NIST) 網路安全框架 2.0
      • 美國證券交易委員會（SEC）網路安全揭露規則
      • 美國國防部網路安全成熟度模型認證
      • 《健康保險互通性與課責法案》(HIPAA) 安全規則
    • 歐洲
      • 網路與資訊安全指令2
      • 一般資料保護規則（GDPR）
      • 網路彈性法案
      • 數位營運韌性法
    • 亞太地區
      • 中國的網路安全法
      • 中國的資料安全法
      • 印度數位個人資料保護法
      • 新加坡網路安全法
    • 拉丁美洲
      • 巴西通用資料保護法
      • 巴西國家網路安全戰略
      • 墨西哥關於保護私人企業所持有個人資料的聯邦法律
      • 智利網路安全基本法
    • 中東和非洲
      • 沙烏地阿拉伯的關鍵網路安全措施
      • 阿拉伯聯合大公國資訊安全標準
      • 國家資訊安全框架
      • 南非個人資料保護法
      • 南非國家網路安全政策框架
  • 波特的分析
  • PESTLE分析
  • 專利分析
  • 成本細分分析
  • 貿易數據分析
    • 網路測試設備進出口量及進口額趨勢
    • 主要貿易路線及關稅的影響
  • 目前網路安全和網路彈性狀況
  • 人工智慧和生成式人工智慧對市場的影響
    • 利用人工智慧改造現有經營模式
    • 按細分市場分類的生成式人工智慧用例和部署藍圖
    • 風險、限制和監管考量
  • 預測假設和情境分析
    • 基本案例：驅動複合年成長率的關鍵宏觀經濟與產業變量
    • 樂觀情境：宏觀經濟與產業的順風
    • 悲觀情景：宏觀經濟放緩或產業逆風

第4章 競爭情勢

  • 介紹
  • 企業市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • LATAM
    • 中東和非洲
  • 主要市場公司的競爭分析
  • 競爭定位矩陣
  • 主要進展
    • 併購
    • 夥伴關係和聯盟
    • 新產品發布
    • 業務拓展計劃及資金籌措
  • 按公司規模進行基準測試
    • 排名分類標準與遴選標準
    • 按銷售額、地區和創新能力分類的層級定位矩陣。

第5章 市場估算與預測：依產品類型分類，2022-2035年

  • 硬體
    • 機架式設備
    • 可攜式/桌上型模擬器
  • 軟體
    • 獨立軟體平台
    • 虛擬設備和基於容器的解決方案
    • 雲端原生/SaaS軟體
  • 服務
    • 專業服務
    • 託管服務

第6章 市場估計與預測：依發展階段分類，2022-2035年

  • 現場
  • 基於雲端的
  • 混合

第7章 市場估計與預測：依應用領域分類，2022-2035年

  • SD-WAN 和 SASE 測試
  • 雲端和資料中心測試
  • 5G/LTE 和行動網路測試
  • 物聯網網路測試
  • 廣域網路和衛星鏈路測試
  • Wi-Fi 和無線區域網路測試
  • 其他

第8章 市場估算與預測：依測試類型分類，2022-2035年

  • 性能測試
  • 應用測試
  • 協議和訊號測試
  • 功能測試

第9章 市場估價與預測：依最終用戶分類，2022-2035年

  • 電信服務供應商
  • 政府/國防
  • IT 和雲端服務供應商
  • 銀行、金融服務和保險（BFSI）
  • 汽車和運輸業
  • 衛生保健
  • 研究與學術
  • 其他

第10章 市場估價與預測：依地區分類，2022-2035年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 挪威
    • 荷蘭
    • 瑞典
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 新加坡
    • 泰國
    • 印尼
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • UAE
    • 土耳其

第11章：公司簡介

  • 世界公司
    • Keysight Technologies
    • VIAVI Solutions
    • Rohde & Schwarz
    • Anritsu
    • Cisco Systems
    • Calnex Solutions
    • Teledyne LeCroy Xena
    • EXFO
  • 本地公司
    • Apposite Technologies
    • Aukua Systems
    • PacketStorm Communications
    • Candela Technologies
    • GL Communications
    • Simnovus
    • TETCOS（NetSim）
    • EVE-NG Pro
    • Valid8
    • East Coast Datacom
    • Polaris Networks
    • InterWorking Labs
簡介目錄
Product Code: 6486

The Global Crowdsourced Testing Market was valued at USD 3.1 billion in 2025 and is estimated to grow at a CAGR of 11.2% to reach USD 8.7 billion by 2035.

Crowdsourced Testing Market - IMG1

The market is expanding as organizations accelerate digital transformation and increase the frequency of software releases across web, mobile, and cloud-based platforms. Faster development cycles have created greater demand for scalable quality assurance solutions capable of validating applications across diverse user environments before deployment. As software development practices continue shifting toward continuous integration and continuous delivery, enterprises require testing models that can keep pace with accelerated release schedules while maintaining application quality. Crowdsourced testing addresses this need by providing access to distributed testing communities that can evaluate software simultaneously across multiple devices, operating systems, browsers, and network environments. Growing adoption of integrated testing workflows is also improving software validation by combining automated quality assurance with real-user testing, enabling organizations to identify issues that automated testing alone may overlook. Rising demand for cross-platform compatibility, localization verification, and user experience validation continues to strengthen the long-term outlook for the crowdsourced software testing market, making it an increasingly important component of modern software development and quality assurance strategies.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$3.1 Billion
Forecast Value$8.7 Billion
CAGR11.2%

The services segment accounted for a 59.4% share in 2025 and is expected to grow at a CAGR of 9.8% from 2026 to 2035. This segment includes managed testing engagements, quality assurance consulting, defect validation, reporting, and comprehensive testing services delivered by specialized providers. Enterprises increasingly prefer outsourced service models because they provide expert project management, verified defect identification, actionable quality insights, and structured testing processes while reducing the burden on internal quality assurance teams. Demand for managed testing services remains particularly strong among organizations operating complex software environments that require reliable quality control and comprehensive testing support.

The managed crowdsourced testing segment held a 61.1% share in 2025. Organizations are increasingly outsourcing end-to-end testing activities to specialized providers that manage tester coordination, project planning, execution, issue verification, and reporting throughout the software development lifecycle. This approach allows internal development teams to concentrate on innovation while ensuring comprehensive quality assurance through experienced testing professionals. Growing demand for structured governance, standardized testing methodologies, and detailed reporting continues to strengthen adoption of managed crowdsourced testing services across enterprises of all sizes.

China Crowdsourced Testing Market accounted for a 43% share, generating USD 0.3 billion in 2025. Continued expansion of the country's software industry and digital economy is driving demand for advanced quality assurance services capable of supporting large-scale application development. Rapid growth in digital applications and increasing deployment of next-generation communication technologies are creating additional requirements for compatibility testing, performance validation, and software quality assurance across a wide range of digital platforms. Ongoing investments in testing infrastructure and software quality capabilities continue to support strong regional market growth throughout the forecast period.

Major companies operating in the global crowdsourced testing market include Applause, Testlio, Global App Testing (GAT), UNGUESS, Ubertesters, Digivante, Bugcrowd, HackerOne, Cobalt.io, and Synack. Companies operating in the crowdsourced testing market are strengthening their competitive position by expanding global tester communities, enhancing managed testing services, and integrating advanced automation with human-led quality assurance. Market participants are investing in artificial intelligence, analytics, and intelligent test management platforms to improve testing accuracy, accelerate issue detection, and deliver faster project execution. Many providers are broadening their service portfolios to include usability testing, localization validation, security assessment, performance testing, and compatibility verification, enabling them to address a wider range of customer requirements. Strategic partnerships with software development firms, enterprise technology providers, and digital transformation consultants are helping companies expand market reach. Businesses are also emphasizing platform scalability, customer support, flexible engagement models, and continuous innovation to strengthen client retention and reinforce their long-term position within the global crowdsourced testing industry.

Table of Contents

Chapter 1 Research Methodology

  • 1.1 Research approach
  • 1.2 Quality Commitments
    • 1.2.1 GMI AI policy & data integrity commitment
      • 1.2.1.1 Source consistency protocol
  • 1.3 Research Trail & Confidence Scoring
    • 1.3.1 Research Trail Components
    • 1.3.2 Scoring Components
  • 1.4 Data Collection
    • 1.4.1 Partial list of primary sources
  • 1.5 Data mining sources
    • 1.5.1 Paid sources
      • 1.5.1.1 Sources, by region
  • 1.6 Base estimates and calculations
    • 1.6.1 Base year calculation for any one approach
  • 1.7 Forecast model
    • 1.7.1 Quantified market impact analysis
      • 1.7.1.1 Mathematical impact of growth parameters on forecast
  • 1.8 Research transparency addendum
    • 1.8.1 Source attribution framework
    • 1.8.2 Quality assurance metrics
    • 1.8.3 Our commitment to trust

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2022 – 2035
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Offering
    • 2.2.3 Deployment
    • 2.2.4 Application
    • 2.2.5 Testing Type
    • 2.2.6 End-User
  • 2.3 TAM Analysis, 2026-2035
  • 2.4 CXO perspectives: Strategic imperatives

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Accelerating 5G Network Rollout & RAN/Core Validation Demand
      • 3.2.1.2 Rising Adoption of SD-WAN, SASE & Cloud-Native Networking
      • 3.2.1.3 Surge in Network Virtualization & Software-Defined Infrastructure
      • 3.2.1.4 Growing Cybersecurity Testing Requirements Across Critical Industries
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High Capital Cost of Hardware-Based Network Emulator Appliances
      • 3.2.2.2 Limited Availability of Skilled Network Testing Professionals
    • 3.2.3 Market opportunities
      • 3.2.3.1 Emergence of Emulation-as-a-Service (EaaS) & Cloud-Native Deployment Models
      • 3.2.3.2 LEO Satellite & Non-Terrestrial Network (NTN) Testing Demand
      • 3.2.3.3 Expansion of Autonomous Vehicles, V2X & Connected Mobility Testing
      • 3.2.3.4 Proliferation of IoT & Edge Computing Driving Distributed Testing Needs
  • 3.3 Growth potential analysis
  • 3.4 Technology and innovation landscape
    • 3.4.1 Current technological trends
      • 3.4.1.1 Hardware-Based High-Speed Network Emulation for 5G & Ethernet Validation
      • 3.4.1.2 Virtualized Network Emulation for SD-WAN, NFV & Cloud Environments
      • 3.4.1.3 AI-Assisted Traffic Generation & Real-Time Network Performance Analytics
    • 3.4.2 Emerging technologies
      • 3.4.2.1 AI-Driven Autonomous Network Emulation & Self-Optimizing Test Environments
      • 3.4.2.2 Digital Twin-Based Network Modeling & End-to-End Infrastructure Simulation
      • 3.4.2.3 6G, Non-Terrestrial Networks (NTN) & Edge-Native Network Emulation
  • 3.5 Pricing Analysis (Driven by primary research)
    • 3.5.1 Historical Price Trend Analysis
    • 3.5.2 Pricing Strategy by Player Type
  • 3.6 Regulatory landscape
    • 3.6.1 North America
      • 3.6.1.1 National Institute of Standards and Technology Cybersecurity Framework 2.0
      • 3.6.1.2 U.S. Securities and Exchange Commission Cybersecurity Disclosure Rules
      • 3.6.1.3 U.S. Department of Defense Cybersecurity Maturity Model Certification
      • 3.6.1.4 Health Insurance Portability and Accountability Act Security Rule
    • 3.6.2 Europe
      • 3.6.2.1 Network and Information Security Directive 2
      • 3.6.2.2 General Data Protection Regulation
      • 3.6.2.3 Cyber Resilience Act
      • 3.6.2.4 Digital Operational Resilience Act
    • 3.6.3 Asia Pacific
      • 3.6.3.1 China Cybersecurity Law
      • 3.6.3.2 China Data Security Law
      • 3.6.3.3 Digital Personal Data Protection Act, India
      • 3.6.3.4 Singapore Cybersecurity Act
    • 3.6.4 Latin America
      • 3.6.4.1 Brazil General Data Protection Law
      • 3.6.4.2 Brazil National Cybersecurity Strategy
      • 3.6.4.3 Federal Law on Protection of Personal Data Held by Private Parties, Mexico
      • 3.6.4.4 Chile Cybersecurity Framework Law
    • 3.6.5 Middle East & Africa
      • 3.6.5.1 Saudi Essential Cybersecurity Controls
      • 3.6.5.2 United Arab Emirates Information Assurance Standards
      • 3.6.5.3 National Information Assurance Framework
      • 3.6.5.4 Protection of Personal Information Act, South Africa
      • 3.6.5.5 National Cybersecurity Policy Framework, South Africa
  • 3.7 Porter’s analysis
  • 3.8 PESTEL analysis
  • 3.9 Patent analysis (Driven by primary research)
  • 3.10 Cost breakdown analysis
  • 3.11 Trade Data Analysis (Driven by Primary Research)
    • 3.11.1 Import/Export Volume & Value Trends - Network Testing Equipment
    • 3.11.2 Key Trade Corridors & Tariff Impact
  • 3.12 Cybersecurity & Network Resilience Landscape
  • 3.13 Impact of AI and Generative AI on the Market
    • 3.13.1 AI Driven Disruption of Existing Business Models
    • 3.13.2 GenAI Use Cases and Adoption Roadmap by Segment
    • 3.13.3 Risks Limitations and Regulatory Considerations
  • 3.14 Forecast assumptions & scenario analysis (Driven by Primary Research)
    • 3.14.1 Base Case- Key Macro & Industry Variables Driving CAGR
    • 3.14.2 Optimistic Scenarios- Favorable macro and industry tailwinds
    • 3.14.3 Pessimistic Scenario - Macroeconomic slowdown or industry headwinds

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Key developments
    • 4.5.1 Mergers & acquisitions
    • 4.5.2 Partnerships & collaborations
    • 4.5.3 New Product Launches
    • 4.5.4 Expansion Plans and funding
  • 4.6 Company tier benchmarking
    • 4.6.1 Tier classification criteria & qualifying thresholds
    • 4.6.2 Tier positioning matrix by revenue, geography & innovation

Chapter 5 Market Estimates & Forecast, By Offering, 2022 - 2035 (USD Bn)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Rack-Mounted Appliances
    • 5.2.2 Portable/Benchtop Emulators
  • 5.3 Software
    • 5.3.1 Standalone Software Platforms
    • 5.3.2 Virtual Appliances & Containerized Solutions
    • 5.3.3 Cloud-Native / SaaS-Delivered Software
  • 5.4 Services
    • 5.4.1 Professional Services
    • 5.4.2 Managed Service

Chapter 6 Market Estimates & Forecast, By Deployment, 2022 - 2035 (USD Bn)

  • 6.1 Key trends
  • 6.2 On-Premise
  • 6.3 Cloud-Based
  • 6.4 Hybrid

Chapter 7 Market Estimates & Forecast, By Application, 2022 - 2035 (USD Bn)

  • 7.1 Key trends
  • 7.2 SD-WAN & SASE Testing
  • 7.3 Cloud & Data Center Testing
  • 7.4 5G/LTE & Mobile Network Testing
  • 7.5 IoT Network Testing
  • 7.6 WAN & Satellite Link Testing
  • 7.7 Wi-Fi & Wireless LAN Testing
  • 7.8 Others

Chapter 8 Market Estimates & Forecast, By Testing Type, 2022 - 2035 (USD Bn)

  • 8.1 Key trends
  • 8.2 Performance Testing
  • 8.3 Application Testing
  • 8.4 Protocol & Signaling Testing
  • 8.5 Functional Testing

Chapter 9 Market Estimates & Forecast, By End-User, 2022 - 2035 (USD Bn)

  • 9.1 Key trends
  • 9.2 Telecommunications Service Providers
  • 9.3 Government & Defense
  • 9.4 IT & Cloud Service Providers
  • 9.5 Banking, Financial Services & Insurance (BFSI)
  • 9.6 Automotive & Transportation
  • 9.7 Healthcare
  • 9.8 Research & Academia
  • 9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2022 - 2035 (USD Bn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Norway
    • 10.3.8 Netherlands
    • 10.3.9 Sweden
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Singapore
    • 10.4.7 Thailand
    • 10.4.8 Indonesia
    • 10.4.9 Vietnam
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE
    • 10.6.4 Turkey

Chapter 11 Company Profiles

  • 11.1 Global Players
    • 11.1.1 Keysight Technologies
    • 11.1.2 VIAVI Solutions
    • 11.1.3 Rohde & Schwarz
    • 11.1.4 Anritsu
    • 11.1.5 Cisco Systems
    • 11.1.6 Calnex Solutions
    • 11.1.7 Teledyne LeCroy Xena
    • 11.1.8 EXFO
  • 11.2 Regional Players
    • 11.2.1 Apposite Technologies
    • 11.2.2 Aukua Systems
    • 11.2.3 PacketStorm Communications
    • 11.2.4 Candela Technologies
    • 11.2.5 GL Communications
    • 11.2.6 Simnovus
    • 11.2.7 TETCOS (NetSim)
    • 11.2.8 EVE-NG Pro
    • 11.2.9 Valid8
    • 11.2.10 East Coast Datacom
    • 11.2.11 Polaris Networks
    • 11.2.12 InterWorking Labs