軟體測試市場機會、成長促進因素、產業趨勢分析及預測（2025-2034年）

2024 年全球軟體測試市場價值為 558 億美元，預計到 2034 年將以 7.2% 的複合年成長率成長至 1125 億美元。

敏捷開發、DevOps 和持續整合/持續交付 (CI/CD) 方法的日益普及，以及企業對數位轉型措施的日益重視，共同推動了市場的發展。各行各業的組織都將高品質、安全性和可靠性的軟體放在首位，從而推動了對先進測試解決方案的需求。人工智慧驅動的自動化、基於雲端的測試平台以及低程式碼/無程式碼框架的持續創新，使企業能夠部署智慧、可擴展且經濟高效的測試作業。這些進步縮短了產品上市時間，提高了營運效率，並增強了軟體品質。在人工智慧驅動的自動化、現代化數位基礎設施以及對效能、可靠性和網路安全日益成長的期望的推動下，市場正經歷著快速的技術變革。企業正擴大將測試解決方案整合到其 DevOps 管線中，以維持無縫營運和卓越的客戶體驗，同時確保符合不斷變化的行業法規。

軟體測試解決方案，包括自動化測試平台、效能和負載測試系統、安全驗證框架以及人工智慧驅動的測試管理工具，對於維護軟體完整性至關重要。這些解決方案能夠實現即時監控、精準缺陷檢測和全面的應用驗證，同時最大限度地減少人工干預。它們確保測試團隊、雲端基礎設施和DevOps環境之間的無縫協作，從而支援更廣泛的企業數位化策略。人工智慧驅動的自動化、雲端採用、IT基礎設施現代化以及日益嚴格的品質和安全監管要求正在重塑市場格局。

應用測試領域在2024年佔據了54%的市場佔有率，預計從2025年到2034年將以10.1%的複合年成長率成長。其主導地位源自於其在確保軟體在Web、行動和企業平台上的功能、效能、安全性和可靠性方面發揮的關鍵作用。該領域涵蓋功能測試、效能評估、安全驗證和使用者體驗評估，這些對於軟體供應商、IT服務提供者和企業交付高品質應用程式至關重要。

2024年，B2B領域佔據87%的市場佔有率，預計到2034年將以7.4%的複合年成長率成長。這一領先地位的驅動力源於企業對安全、高效能和可靠軟體日益成長的需求，這些需求涵蓋金融、醫療保健、製造和IT服務等多個行業。企業正在投資全面的測試解決方案，以確保合規性、無縫整合和營運效率，同時提升最終用戶滿意度。

美國軟體測試市場佔據88%的市場佔有率，預計2024年市場規模將達到233億美元。美國擁有龐大的企業IT部署規模、雲端原生和行動應用程式的快速普及，以及嚴格的網路安全、資料隱私和產業合規監管標準，因此蘊藏著巨大的市場機會。美國成熟的IT生態系統能夠協助人工智慧驅動的測試管理系統、持續整合/持續交付（CI/CD）管線以及新一代測試解決方案的快速部署。

全球軟體測試市場的主要參與者包括 Tricentis、IBM、Cognizant、Wipro、EPAM Systems、SmartBear Software、Capgemini、TCS、Accenture 和 NTT Data。軟體測試市場的企業正採用多種策略來擴大市場佔有率並鞏固自身地位。他們大力投資於人工智慧驅動的測試自動化和雲端平台，以提供可擴展、經濟高效且智慧化的測試解決方案。各公司正專注於合作、併購，以拓展服務範圍和全球影響力。產品創新和研發舉措使他們能夠提供滿足不斷變化的企業需求的尖端解決方案。許多公司強調端到端服務整合，包括 DevOps 協同、CI/CD 支援和安全合規性。策略行銷、思想領導力和行業特定解決方案有助於品牌差異化並吸引高價值企業客戶，從而提升軟體測試市場的競爭力並實現長期成長。

目錄

第1章：方法論與範圍

第2章：執行概要

第3章：行業洞察

• 產業生態系分析
  • 供應商格局
  • 利潤率
  • 成本結構
  • 每個階段的價值增加
  • 影響價值鏈的因素
  • 中斷
• 產業影響因素
  • 成長促進因素
    • 敏捷和DevOps的日益普及
    • 對高品質軟體的需求日益成長
    • 測試自動化技術進步
    • 監管和合規要求
  • 產業陷阱與挑戰
    • 高初始投資
    • 與遺留系統的複雜整合
  • 市場機遇
    • 快速發展的技術格局
    • 資料安全和隱私問題
    • 人工智慧驅動的預測性測試解決方案
    • 基於雲端和混合的測試服務
• 成長潛力分析
• 監管環境
  • 全球監管環境概述
  • 行業特定合規要求
  • 資料隱私與保護法規
  • 網路安全標準與框架
  • 專業認證要求
  • 品質標準與認證
  • 跨境監管協調
• 波特的分析
• PESTEL 分析
• 技術與創新格局
  • 人工智慧與機器學習整合
  • 測試自動化演進
  • 雲端原生測試平台
  • 低程式碼/無程式碼測試解決方案
  • 量子計算考試準備
  • 區塊鏈測試要求
  • 物聯網和邊緣運算測試
  • 擴增實境和虛擬實境測試
  • 5G網路測試要求
• 價格趨勢
  • 區域定價差異
  • 按玩家群體分類的定價策略
    • 基於服務的定價模式
    • 基於價值的定價方法
    • 規模經濟和數量經濟
• 成本細分分析
• 專利分析
• 永續性和環境方面
  • 永續實踐
  • 減少廢棄物策略
  • 生產中的能源效率
  • 環保舉措
  • 碳足跡考量
• 風險評估框架
• 最佳情況
• 客戶需求及選擇標準分析
  • 企業客戶端測試要求
  • 中小企業測試需求及預算限制
  • 供應商選擇決策因素
  • 投資報酬率預期及衡量框架
  • 服務等級協定要求
  • 安全與合規要求
  • 整合和互通性需求
  • 可擴展性和靈活性要求
• 行業特定測試要求
  • 合規性測試（PCI-DSS、HIPAA、GDPR的影響）
  • 特定領域的複雜性（金融科技、醫療保健、自動駕駛汽車）
  • 監管審計準備情況
  • 行業基準和最佳實踐
• 品質指標與分析框架
  • 測試有效性的關鍵績效指標（缺陷漏檢率、測試投資報酬率、週期時間）
  • 數據驅動的品質洞察
  • 即時監控和儀錶板
  • 預測品質分析
  • 與業界標準進行基準化分析
• 客戶成功與留存指標
  • 實施後支援要求
  • 客戶滿意度趨勢
  • 流失分析和忠誠度因素
  • 價值實現時間表

第4章：競爭格局

• 介紹
• 公司市佔率分析
  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲
• 主要市場參與者的競爭分析
• 競爭定位矩陣
• 戰略展望矩陣
• 關鍵進展
  • 併購
  • 合作夥伴關係與合作
  • 新產品發布
  • 擴張計劃和資金
• 競爭漏洞與威脅
  • 關鍵領域的績效差距
  • 技術債與遺留平台問題
  • 客戶流失指標與高風險客戶群
  • 來自新進入者或相鄰參與者的新興威脅
  • 服務不足的市場領域
• 客戶成敗分析
  • 競爭對手的交易規模和合約價值
  • 對特定競爭對手的勝率
  • 競爭性交易中的關鍵差異化因素
  • 客戶遷移模式（轉換行為）
  • 各細分市場的市佔率增減情況
• 技術棧與平台能力矩陣
  • 主要廠商的AI/ML能力比較
  • 雲端基礎設施偏好和投資
  • 測試自動化覆蓋率和深度
  • 整合生態系統的廣度（DevOps、監控、安全工具）
  • 專有方法與開源方法

第5章：市場估算與預測：依組件分類，2021-2034年

• 主要趨勢
• 應用測試
  • 功能
    • 系統測試
    • 單元測試
    • 整合測試
    • 煙霧測試
    • 回歸測試
    • 其他
  • 非功能性
    • 安全測試
    • 性能測試
    • 可用性測試
    • 其他
• 測試服務
  • 專業服務
  • 託管服務

第6章：市場估算與預測：依商業模式分類，2021-2034年

• 主要趨勢
• B2B
  • 企業應用測試
  • B2B平台測試
  • 整合測試服務
  • API 測試解決方案
• B2C
  • 消費者應用測試
  • 使用者體驗測試
  • 行動應用測試
  • 電子商務測試

第7章：市場估計與預測：依平台分類，2021-2034年

• 主要趨勢
• 移動的
  • 原生行動應用程式測試
  • 跨平台行動測試
  • 行動裝置測試
  • 行動效能測試
  • 行動安全測試
• 網路為基礎的測試
  • Web應用程式測試
  • 瀏覽器相容性測試
  • Web效能測試
  • 網路安全測試
  • 漸進式 Web 應用測試

第8章：市場估算與預測：依部署模式分類，2021-2034年

• 主要趨勢
• 基於雲端的測試解決方案
  • 軟體即服務 (SaaS) 測試平台
  • 平台即服務 (PaaS) 測試工具
  • 基礎設施即服務 (IaaS) 測試
  • 多雲測試策略
• 本地測試解決方案
  • 傳統測試基礎設施
  • 企業測試平台
  • 專用測試中心
• 混合測試解決方案
  • 雲端本地整合
  • 靈活的部署模式
  • 混合測試編排

第9章：市場估計與預測：依應用領域分類，2021-2034年

• 主要趨勢
• 它
• 電信
• 金融服務業
• 製造業
• 零售
• 衛生保健
• 運輸與物流
• 政府和公共部門
• 消費性電子產品
• 媒體
• 其他

第10章：市場估計與預測：依地區分類，2021-2034年

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 比利時
  • 荷蘭
  • 瑞典
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 新加坡
  • 韓國
  • 越南
  • 印尼
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• MEA
  • 阿拉伯聯合大公國
  • 南非
  • 沙烏地阿拉伯

第11章：公司簡介

• Global Player
  • Accenture
  • Atos
  • Capgemini
  • Cognizant Technology Solutions
  • IBM
  • Infosys
  • NTT Data
  • Tata Consultancy Services (TCS)
  • Wipro
• Regional Player
  • EPAM Systems
  • Keysight Technologies
  • Micro Focus International
  • Parasoft
  • Ranorex
  • SmartBear Software
  • Tech Mahindra
  • Tricentis
  • Worksoft
• 新興參與者
  • Applitools
  • Katalon
  • Mabl
  • Sauce Labs
  • Testim

The Global Software Testing Market was valued at USD 55.8 billion in 2024 and is estimated to grow at a CAGR of 7.2% to reach USD 112.5 billion by 2034.

The market is propelled by the growing adoption of Agile, DevOps, and continuous integration/continuous delivery (CI/CD) methodologies, alongside enterprises' increasing focus on digital transformation initiatives. Organizations across industries are prioritizing high-quality, secure, and reliable software, driving demand for advanced testing solutions. Continuous innovations in AI-powered automation, cloud-based testing platforms, and low-code/no-code frameworks are allowing companies to deploy intelligent, scalable, and cost-effective testing operations. These advancements reduce time-to-market, improve operational efficiency, and enhance software quality. The market is witnessing rapid technological evolution, fueled by AI-driven automation, modernized digital infrastructures, and rising expectations for performance, reliability, and cybersecurity. Enterprises are increasingly integrating testing solutions into their DevOps pipelines to maintain seamless operations and superior customer experiences while ensuring compliance with evolving industry regulations.

Software testing solutions, including automated testing platforms, performance and load testing systems, security validation frameworks, and AI-driven test management tools, are essential for maintaining software integrity. These solutions enable real-time monitoring, accurate defect detection, and comprehensive application validation while minimizing manual intervention. They ensure seamless coordination between testing teams, cloud infrastructures, and DevOps environments, supporting broader enterprise digitalization strategies. The market is being shaped by AI-powered automation, cloud adoption, modernization of IT infrastructure, and growing regulatory requirements for quality and security.

The application testing segment held a 54% share in 2024 and is expected to grow at a CAGR of 10.1% from 2025 to 2034. Its dominance stems from its critical role in ensuring software functionality, performance, security, and reliability across web, mobile, and enterprise platforms. This segment covers functional testing, performance evaluation, security validation, and user experience assessment, which are essential for software vendors, IT service providers, and enterprises to deliver high-quality applications.

The B2B segment held 87% share in 2024 and is projected to grow at a CAGR of 7.4% through 2034. This leadership is driven by enterprises' growing need for secure, high-performance, and dependable software across sectors such as finance, healthcare, manufacturing, and IT services. Companies are investing in comprehensive testing solutions to ensure compliance, seamless integration, and operational efficiency while enhancing end-user satisfaction.

U.S. Software Testing Market held an 88% share, generating USD 23.3 billion in 2024. The U.S. represents a major opportunity due to its high volume of enterprise IT deployments, rapid adoption of cloud-native and mobile applications, and strict regulatory standards for cybersecurity, data privacy, and industry compliance. The country's mature IT ecosystem enables the swift implementation of AI-driven test management systems, CI/CD pipelines, and next-generation testing solutions.

Key players operating in the Global Software Testing Market include Tricentis, IBM, Cognizant, Wipro, EPAM Systems, SmartBear Software, Capgemini, TCS, Accenture, and NTT Data. Companies in the Software Testing Market are employing multiple strategies to expand their market presence and strengthen their position. They are investing heavily in AI-driven test automation and cloud-based platforms to provide scalable, cost-efficient, and intelligent testing solutions. Firms are focusing on partnerships, mergers, and acquisitions to broaden their service offerings and global reach. Product innovation and R&D initiatives allow them to deliver cutting-edge solutions that address evolving enterprise needs. Many companies emphasize end-to-end service integration, including DevOps alignment, CI/CD support, and security compliance. Strategic marketing, thought leadership, and industry-specific solutions help differentiate brands and attract high-value enterprise clients, boosting competitiveness and long-term growth in the software testing market.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Global
  • 1.3.2 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Component
  • 2.2.3 Business model
  • 2.2.4 Platform
  • 2.2.5 Deployment model
  • 2.2.6 Application
• 2.3 TAM Analysis, 2025-2034
• 2.4 CXO perspectives: Strategic imperatives
  • 2.4.1 Executive decision points
  • 2.4.2 Critical success factors
• 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier Landscape
  • 3.1.2 Profit Margin
  • 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 Rising adoption of agile and devops
    • 3.2.1.2 Growing demand for high-quality software
    • 3.2.1.3 Technological advancements in test automation
    • 3.2.1.4 Regulatory and compliance requirements
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High initial investment
    • 3.2.2.2 Complex integration with legacy systems
  • 3.2.3 Market opportunities
    • 3.2.3.1 Rapidly evolving technology landscape
    • 3.2.3.2 Data security and privacy concerns
    • 3.2.3.3 Ai-driven and predictive testing solutions
    • 3.2.3.4 Cloud-based and hybrid testing services
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 Global regulatory landscape overview
  • 3.4.2 Industry-specific compliance requirements
  • 3.4.3 Data privacy & protection regulations
  • 3.4.4 Cybersecurity standards & frameworks
  • 3.4.5 Professional certification requirements
  • 3.4.6 Quality standards & accreditation
  • 3.4.7 Cross-border regulatory harmonization
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and Innovation Landscape
  • 3.7.1 AI & machine learning integration
  • 3.7.2 Test automation evolution
  • 3.7.3 Cloud-native testing platforms
  • 3.7.4 Low-code/no-code testing solutions
  • 3.7.5 Quantum computing test preparation
  • 3.7.6 Blockchain testing requirements
  • 3.7.7 IoT & edge computing testing
  • 3.7.8 Augmented & virtual reality testing
  • 3.7.9 5g network testing requirements
• 3.8 Price trends
  • 3.8.1 Regional Pricing Variations
  • 3.8.2 Pricing strategies by player segment
    • 3.8.2.1 Service-Based Pricing Models
    • 3.8.2.2 Value-Based Pricing Approach
    • 3.8.2.3 Volume & Scale Economies
• 3.9 Cost breakdown analysis
• 3.10 Patent analysis
• 3.11 Sustainability and Environmental Aspects
  • 3.11.1 Sustainable practices
  • 3.11.2 Waste reduction strategies
  • 3.11.3 Energy efficiency in production
  • 3.11.4 Eco-friendly initiatives
  • 3.11.5 Carbon footprint considerations
• 3.12 Risk assessment framework
• 3.13 Best case scenarios
• 3.14 Client Requirements & Selection Criteria Analysis
  • 3.14.1 Enterprise client testing requirements
  • 3.14.2 SME testing needs & budget constraints
  • 3.14.3 Vendor selection decision factors
  • 3.14.4 Roi expectations & measurement frameworks
  • 3.14.5 Service level agreement requirements
  • 3.14.6 Security & compliance mandates
  • 3.14.7 Integration & interoperability needs
  • 3.14.8 Scalability & flexibility requirements
• 3.15 Industry-Specific Testing Requirements
  • 3.15.1 Compliance testing (PCI-DSS, HIPAA, GDPR implications)
  • 3.15.2 Domain-specific complexities (fintech, healthcare, autonomous vehicles)
  • 3.15.3 Regulatory audit readiness
  • 3.15.4 Industry benchmarks and best practices
• 3.16 Quality Metrics & Analytics Framework
  • 3.16.1 KPIs for testing effectiveness (defect escape rate, test ROI, cycle time)
  • 3.16.2 Data-driven quality insights
  • 3.16.3 Real-time monitoring and dashboards
  • 3.16.4 Predictive quality analytics
  • 3.16.5 Benchmarking against industry standards
• 3.17 Customer Success & Retention Metrics
  • 3.17.1 Post-implementation support requirements
  • 3.17.2 Client satisfaction trends
  • 3.17.3 Churn analysis and loyalty factors
  • 3.17.4 Value realization timelines

Chapter 4 Competitive Landscape, 2024

• 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 Latin America
  • 4.2.5 Middle East & Africa
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic outlook matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New product launches
  • 4.6.4 Expansion plans and funding
• 4.7 Competitive Vulnerabilities & Threats
  • 4.7.1 Performance gaps in key areas
  • 4.7.2 Technology debt and legacy platform issues
  • 4.7.3 Customer churn indicators and at-risk segments
  • 4.7.4 Emerging threats from new entrants or adjacent players
  • 4.7.5 Underserved market segments
• 4.8 Customer Win/Loss Analysis
  • 4.8.1 Deal sizes and contract values by competitor
  • 4.8.2 Win rates against specific competitors
  • 4.8.3 Key differentiators in competitive deals
  • 4.8.4 Customer migration patterns (switching behavior)
  • 4.8.5 Market share gains/losses by segment
• 4.9 Technology Stack & Platform Capabilities Matrix
  • 4.9.1 AI/ML capabilities comparison across major players
  • 4.9.2 Cloud infrastructure preferences and investments
  • 4.9.3 Test automation coverage and depth
  • 4.9.4 Integration ecosystem breadth (DevOps, monitoring, security tools)
  • 4.9.5 Proprietary vs. open-source approach

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($ Bn)

• 5.1 Key trends
• 5.2 Application Testing
  • 5.2.1 Functional
    • 5.2.1.1 System testing
    • 5.2.1.2 Unit testing
    • 5.2.1.3 Integration testing
    • 5.2.1.4 Smoke Testing
    • 5.2.1.5 Regression Testing
    • 5.2.1.6 Others
  • 5.2.2 Non-Functional
    • 5.2.2.1 Security testing
    • 5.2.2.2 Performance testing
    • 5.2.2.3 Usability testing
    • 5.2.2.4 Others
• 5.3 Testing Services
  • 5.3.1 Professional services
  • 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Business Model, 2021 - 2034 ($ Bn)

• 6.1 Key trends
• 6.2 B2B
  • 6.2.1 Enterprise application testing
  • 6.2.2 B2B platform testing
  • 6.2.3 Integration testing services
  • 6.2.4 API testing solutions
• 6.3 B2C
  • 6.3.1 Consumer application testing
  • 6.3.2 User experience testing
  • 6.3.3 Mobile app testing
  • 6.3.4 E-commerce testing

Chapter 7 Market Estimates & Forecast, By Platform, 2021 - 2034 ($ Bn)

• 7.1 Key trends
• 7.2 Mobile
  • 7.2.1 Native mobile app testing
  • 7.2.2 Cross-platform mobile testing
  • 7.2.3 Mobile device testing
  • 7.2.4 Mobile performance testing
  • 7.2.5 Mobile security testing
• 7.3 Web-based Testing
  • 7.3.1 Web application testing
  • 7.3.2 Browser compatibility testing
  • 7.3.3 Web performance testing
  • 7.3.4 Web security testing
  • 7.3.5 Progressive web app testing

Chapter 8 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($ Bn)

• 8.1 Key trends
• 8.2 Cloud-based Testing Solutions
  • 8.2.1 Software-as-a-Service (SaaS) testing platforms
  • 8.2.2 Platform-as-a-Service (PaaS) testing tools
  • 8.2.3 Infrastructure-as-a-Service (IaaS) testing
  • 8.2.4 Multi-cloud testing strategies
• 8.3 On-premises Testing Solutions
  • 8.3.1 Traditional testing infrastructure
  • 8.3.2 Enterprise testing platforms
  • 8.3.3 Dedicated testing centers
• 8.4 Hybrid Testing Solutions
  • 8.4.1 Cloud-on-premises integration
  • 8.4.2 Flexible deployment models
  • 8.4.3 Hybrid testing orchestration

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2034 ($ Bn)

• 9.1 Key trends
• 9.2 IT
• 9.3 Telecom
• 9.4 BFSI
• 9.5 Manufacturing
• 9.6 Retail
• 9.7 Healthcare
• 9.8 Transportation & Logistics
• 9.9 Government & Public sector
• 9.10 Consumer electronics
• 9.11 Media
• 9.12 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($ Bn)

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

Chapter 11 Company Profiles

• 11.1 Global Player
  • 11.1.1 Accenture
  • 11.1.2 Atos
  • 11.1.3 Capgemini
  • 11.1.4 Cognizant Technology Solutions
  • 11.1.5 IBM
  • 11.1.6 Infosys
  • 11.1.7 NTT Data
  • 11.1.8 Tata Consultancy Services (TCS)
  • 11.1.9 Wipro
• 11.2 Regional Player
  • 11.2.1 EPAM Systems
  • 11.2.2 Keysight Technologies
  • 11.2.3 Micro Focus International
  • 11.2.4 Parasoft
  • 11.2.5 Ranorex
  • 11.2.6 SmartBear Software
  • 11.2.7 Tech Mahindra
  • 11.2.8 Tricentis
  • 11.2.9 Worksoft
• 11.3 Emerging Players
  • 11.3.1 Applitools
  • 11.3.2 Katalon
  • 11.3.3 Mabl
  • 11.3.4 Sauce Labs
  • 11.3.5 Testim