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2023-2032年自動化測試市場規模，按組件、按終端介面、按應用和預測分類
市場調查報告書
商品編碼
1289004

2023-2032年自動化測試市場規模，按組件、按終端介面、按應用和預測分類

Automation Testing Market Size By Component, By End-point Interface, By Application & Forecast, 2023 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 350 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

全球自動化測試市場預計到2032年將呈現指數級成長，這是因為數位媒體的滲透率不斷提高，如用於媒體流、線上遊戲和數位支付的移動設備。

智慧手機、可穿戴設備和筆記型電腦等消費電子產品正變得更加數位化，這導致對自動化測試服務的需求大幅增加，以改善這些產品的安全性、功能和性能。例如，2021年8月，總部位於美國的IT公司Ranorex發布了其自動化測試工具的最新版本Studio 10.1。該更新版本在管理數據源對話框中增加了對數據庫登錄憑證的屏蔽，並從.NET 4.6.2框架升級到.NET 4.8框架。

自動化測試市場已經根據組件、終端界面、應用和地區進行了細分。

在組件方面，服務部分進一步分為諮詢和顧問、規劃和開發、支持和維護、文件和培訓、實施和管理等子部分，從2023年到2032年可以獲得巨大的推動力。

諮詢和顧問服務在2022年積累了超過10%的市場佔有率，預計將在未來十年推動可觀的收入。這些服務幫助企業在整個交付生命週期中加強他們的品質保證重點領域，包括基礎設施、工具和人員，因此，支持市場成長。

關於終端界面，網路部分的自動化測試市場收入在2022年達到20多億美元，並可能在2032年前大幅成長。該部分的成長可歸功於各行業對跨操作系統（OS）測試和跨瀏覽器測試的需求不斷增加，如汽車、消費電子、電子商務和零售。

同時，由於全球工作站、個人電腦和台式機的銷售量不斷增加，台式機部分在2022年約佔5%的市場佔有率，估計在審查期限內將見證穩定成長。

在應用方面，運輸和物流領域預計到2032年將有超過10%的年復合成長率。運輸和物流業的自動化測試為軟體開發和部署過程帶來效率、可靠性和成本效益。通過利用自動化，該領域的公司可以提高其系統的品質，減少人工操作，降低風險，並在日益數位化和互聯的環境中提供卓越的用戶體驗。

從區域角度來看，北美自動化測試市場在2022年價值超過90億美元，並可能在2023-2032年觀察到可觀的擴張。智慧消費產品在該地區的滲透率不斷提高，預計將推動區域市場的成長。同樣，由於迪拜、沙烏地阿拉伯、科威特和阿布扎比對豪華汽車和超級跑車的需求飆升，中東和非洲的自動化測試行業準備在2023年至2032年期間以超過10%的年復合成長率擴張。

目錄

第一章：方法和範圍

第二章：執行摘要

第三章：自動化測試行業洞察力

  • 簡介
  • 2018-2032年的行業格局
    • 手動測試與自動化軟體測試
    • 自動化測試工具和平台
      • Selenium
      • 測試小靈通
      • Ranorex
      • HPE統一功能測試
      • 測試完成
      • 淘寶網
      • 淘寶網
      • 統一功能測試
      • 呼叫中心
      • 托斯卡測試套件
    • 無線自動化測試概述
      • Wi Fi
      • 藍牙
      • 物聯網
  • COVID-19的影響
    • 各地區的影響
  • 俄羅斯-烏克蘭戰爭的影響
  • 自動化測試行業生態系統分析
    • 自動化測試工具/平台
    • 測試服務提供商
    • 雲服務提供者
    • 專業服務提供商
    • 管理服務提供商
    • 最終用途
    • 供應商矩陣
  • 利潤率分析
  • 技術與創新格局
    • 無代碼自動化測試
    • 自動化的AI和機器學習
    • 機器人流程自動化(RPA)
    • Selenium測試原子化
  • 專利情況
  • 關鍵計劃和新聞
  • 監管情況
    • 國際
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • MEA
  • 行業影響力量
    • 成長動力
      • 自動化測試中對AI和ML的需求不斷上升
      • 擴大採用DevOps方法
      • 擴大採用敏捷開發環境來保證品質和測試
      • 基於移動的應用程式的高消費
      • 已開發國家的數位化程度不斷提高
      • 北美地區的家庭自動化設備激增
    • 行業隱患和挑戰
      • 缺少熟練的專業人員
      • 實施成本高，手動測試比自動化測試更受歡迎
  • 投資組合
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第四章：2022年的競爭格局

  • 簡介
  • 2022年市場佔有率分析
  • 2022年主要市場參與者的競爭分析
    • Accenture
    • Cognizant
    • IBM
    • Tata Consultancy Services Limited
    • Capgemini
    • Wipro Limited
    • NTT DATA Inc.
  • 2022年創新企業的競爭分析
    • Atos SE
    • Amdocs
    • Tech Mahindra Limited
    • HCL Technologies Limited
    • CGI Inc.
  • 供應商採用矩陣
  • 戰略前景矩陣

第五章：自動化測試市場：按組件分類

  • 主要趨勢，按組件分類
  • 測試類型
    • 功能測試
      • 系統測試
      • 單元測試
      • 整合測試
      • 煙霧測試
      • 回歸測試
      • 其他測試
    • 非功能測試
      • 安全測試
      • 性能測試
      • 可用性測試
      • API測試
      • 合規性測試
      • 其他
  • 服務
    • 諮詢和顧問
    • 規劃與開發
    • 支持和維護
    • 文檔和培訓
    • 實施
    • 管理

第六章：自動化測試市場：按終端介面分類

  • 主要趨勢，按終端介面分類
  • 手機
  • 網路
  • 台式機
  • 雲端
  • 嵌入式軟體

第7章：自動化測試市場：按應用分類

  • 主要趨勢，按應用分類
  • IT和電信
  • BFSI
  • 製造業
  • 零售業
  • 運輸和物流
  • 政府和公共領域
  • 智慧消費設備
  • 汽車行業
  • 保健和醫療設備
  • 其他

第八章：自動化測試市場：按地區分類

  • 主要趨勢，按地區
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 以色列

第九章：公司簡介

  • Accenture
  • Amdocs
  • Astegic
  • Atos SE
  • Capgemini
  • CGI Inc.
  • Cigniti
  • Cognizant
  • CSC (DXC Technology Company)
  • Eggplant
  • HCL Technologies Limited
  • IBM
  • Infosys
  • Micro Focus
  • Microsoft
  • Mobisoft Infotech
  • NTT DATA Inc.
  • Qualitest
  • SmartBear Software
  • Tata Consultancy Services Limited
  • Tech Mahindra Limited
  • Tricentis
  • Wipro Limited
簡介目錄
Product Code: 3110

Global Automation Testing Market is slated to exhibit exponential growth through 2032 owing to the increasing penetration of digital media, such as mobile devices for media streaming, online gaming, and digital payments.

Consumer electronics such as smartphones, wearables, and laptops are becoming more digitalized, which has led to a significant increase in the demand for automated testing services to improve the security, functionality, and performance of these products. For instance, in August 2021, Ranorex, the U.S.-based IT company, released its Studio 10.1, the latest version of the automated testing tool. The updated version added masking for the database login credentials in the manage data sources dialogue box and is an upgrade from the .NET 4.6.2 Framework to the .NET 4.8 Framework.

The automation testing market has been segmented based on component, end-point interface, application, and region.

With respect to component, the services segment, which is further divided into advisory & consulting, planning & development, support & maintenance, documentation & training, implementation, and managed sub-segments, could gain significant impetus from 2023 to 2032.

Advisory and consulting services accumulated over 10% market share in 2022 and are expected to drive considerable revenue in the next ten years. These services aid businesses in enhancing their quality assurance focus areas, including infrastructure, tools, and people, throughout the delivery lifecycle, thus, supporting market growth.

Regarding the end-point interface, the automation testing market revenue from the web segment reached over $2 billion in 2022 and could grow substantially through 2032. The segment growth can be credited to the mounting demand for cross-Operating Systems (OS) testing and cross-browser testing across various sectors such as automotive, consumer electronics, e-commerce, and retail.

Meanwhile, the desktop segment held approximately 5% market share in 2022 and is estimated to witness steady growth over the review timeline owing to the rising sales of workstations, PCs, and desktops worldwide.

In terms of application, the transportation & logistics segment is expected to depict over 10% CAGR through 2032. Automation testing in transportation and logistics brings efficiency, reliability, and cost-effectiveness to the software development and deployment processes. By leveraging automation, companies in this sector can enhance the quality of their systems, reduce manual efforts, mitigate risks, and deliver superior user experiences in an increasingly digital and interconnected environment.

From the regional perspective, the North America automation testing market was worth more than $9 billion in 2022 and may observe sizable expansion throughout 2023-2032. Increasing penetration of smart consumer products in the region is expected to drive regional market growth. Similarly, the Middle East & Africa automation testing industry is poised to expand at over 10% CAGR between 2023 and 2032 due to the soaring demand for luxury vehicles and supercars in Dubai, Saudi Arabia, Kuwait, and Abu Dhabi.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope and definition
  • 1.2 Methodology & forecast parameters
  • 1.3 COVID-19 impact
    • 1.3.1 North America
    • 1.3.2 Europe
    • 1.3.3 Asia Pacific
    • 1.3.4 Latin America
    • 1.3.5 MEA
  • 1.4 Data Sources
    • 1.4.1 Secondary
      • 1.4.1.1 Paid sources
      • 1.4.1.2 Public sources
    • 1.4.2 Primary
  • 1.5 Industry Glossary

Chapter 2 Executive Summary

  • 2.1 Automation testing industry 360 degree snapshots, 2018-2032
  • 2.2 Business trends
    • 2.2.1 Total Addressable Market (TAM), 2023 - 2032
  • 2.3 Regional trends
  • 2.4 Component trends
    • 2.4.1 Testing type trends
    • 2.4.2 Service trends
  • 2.5 End point interface trends
  • 2.6 Application trends

Chapter 3 Automation Testing Industry Insights

  • 3.1 Introduction
  • 3.2 Industry landscape, 2018-2032
    • 3.2.1 Manual Testing vs. Automation Software Testing
    • 3.2.2 Automation testing tools and platforms
      • 3.2.2.1 Selenium
      • 3.2.2.2 Testing Whiz
      • 3.2.2.3 Ranorex
      • 3.2.2.4 HPE Unified Functional Testing
      • 3.2.2.5 TestComplete
      • 3.2.2.6 Sahi
      • 3.2.2.7 Watir
      • 3.2.2.8 Telerik Test Studio
      • 3.2.2.9 Katalon Studio
      • 3.2.2.10 Tosca Test Suite
    • 3.2.3 Wireless automation testing overview
      • 3.2.3.1 Wi Fi
      • 3.2.3.2 Bluetooth
      • 3.2.3.3 IoT
  • 3.3 COVID-19 impact
    • 3.3.1 Impact by region
      • 3.3.1.1 North America
      • 3.3.1.2 Europe
      • 3.3.1.3 Asia Pacific
      • 3.3.1.4 Latin America
      • 3.3.1.5 MEA
  • 3.4 Russia-Ukraine war impact
  • 3.5 Automation testing industry ecosystem analysis
    • 3.5.1 Automation testing tools/platform
    • 3.5.2 Testing service providers
    • 3.5.3 Cloud service providers
    • 3.5.4 Professional service providers
    • 3.5.5 Managed service providers
    • 3.5.6 End-use
    • 3.5.7 Vendor matrix
  • 3.6 Profit margin analysis
  • 3.7 Technology & innovation landscape
    • 3.7.1 Codeless automation testing
    • 3.7.2 AI & Machine Learning for automation
    • 3.7.3 Robotic Process Automation (RPA)
    • 3.7.4 Selenium test atomation
  • 3.8 Patent landscape
  • 3.9 Key initiative & news
  • 3.10 Regulatory landscape
    • 3.10.1 International
    • 3.10.2 North America
    • 3.10.3 Europe
    • 3.10.4 Asia Pacific
    • 3.10.5 Latin America
    • 3.10.6 MEA
  • 3.11 Industry impact forces
    • 3.11.1 Growth drivers
      • 3.11.1.1 Rising demand for AI and ML in automation testing
      • 3.11.1.2 Growing adoption of DevOps methodology
      • 3.11.1.3 Rising adoption of agile development environment for quality assuarance and testing
      • 3.11.1.4 High consumption of mobile based applications
      • 3.11.1.5 Increasing digitization in developed countries
      • 3.11.1.6 Proliferation of home automation devices in North America
    • 3.11.2 Industry pitfalls & challenges
      • 3.11.2.1 Lack of skilled professionals
      • 3.11.2.2 High implementation cost prevailing manual testing over automation testing
  • 3.12 Investment portfolio
  • 3.13 Growth potential analysis
  • 3.14 Porter's analysis
    • 3.14.1 Threat of new entrant
    • 3.14.2 Bargaining power of supplier
    • 3.14.3 Bargaining power of buyer
    • 3.14.4 Threat of substitution
    • 3.14.5 Competitive rivalry
  • 3.15 PESTEL analysis
    • 3.15.1 Political
    • 3.15.2 Economical
    • 3.15.3 Social
    • 3.15.4 Technological
    • 3.15.5 Legal
    • 3.15.6 Environmental

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Market share analysis, 2022
  • 4.3 Completive analysis of key market players, 2022
    • 4.3.1 Accenture
    • 4.3.2 Cognizant
    • 4.3.3 IBM
    • 4.3.4 Tata Consultancy Services Limited
    • 4.3.5 Capgemini
    • 4.3.6 Wipro Limited
    • 4.3.7 NTT DATA Inc.
  • 4.4 Completive analysis of innovative players, 2022
    • 4.4.1 Atos SE
    • 4.4.2 Amdocs
    • 4.4.3 Tech Mahindra Limited
    • 4.4.4 HCL Technologies Limited
    • 4.4.5 CGI Inc.
  • 4.5 Vendor adoption matrix
  • 4.6 Strategic outlook matrix

Chapter 5 Automation Testing Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Testing type
    • 5.2.1 Market estimates and forecast, 2018-2032
    • 5.2.2 Functional testing
      • 5.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.2 System testing
        • 5.2.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.3 Unit testing
        • 5.2.2.3.1 Market estimates and forecast, 2018-2032
      • 5.2.2.4 Integration testing
        • 5.2.2.4.1 Market estimates and forecast, 2018-2032
      • 5.2.2.5 Smoke testing
        • 5.2.2.5.1 Market estimates and forecast, 2018-2032
      • 5.2.2.6 Regression testing
        • 5.2.2.6.1 Market estimates and forecast, 2018-2032
      • 5.2.2.7 Others
        • 5.2.2.7.1 Market estimates and forecast, 2018-2032
    • 5.2.3 Non Functional testing
      • 5.2.3.1 Market estimates and forecast, 2018-2032
      • 5.2.3.2 Security testing
        • 5.2.3.2.1 Market estimates and forecast, 2018-2032
      • 5.2.3.3 Performance testing
        • 5.2.3.3.1 Market estimates and forecast, 2018-2032
      • 5.2.3.4 Usability testing
        • 5.2.3.4.1 Market estimates and forecast, 2018-2032
      • 5.2.3.5 API testing
        • 5.2.3.5.1 Market estimates and forecast, 2018-2032
      • 5.2.3.6 Compliance testing
        • 5.2.3.6.1 Market estimates and forecast, 2018-2032
      • 5.2.3.7 Others
        • 5.2.3.7.1 Market estimates and forecast, 2018-2032
  • 5.3 Services
    • 5.3.1 Market estimates and forecast, 2018-2032
    • 5.3.2 Advisory & Consulting
      • 5.3.2.1 Market estimates and forecast, 2018-2032
    • 5.3.3 Planning & development
      • 5.3.3.1 Market estimates and forecast, 2018-2032
    • 5.3.4 Support & Maintenance
      • 5.3.4.1 Market estimates and forecast, 2018-2032
    • 5.3.5 Documentation & training
      • 5.3.5.1 Market estimates and forecast, 2018-2032
    • 5.3.6 Implementation
      • 5.3.6.1 Market estimates and forecast, 2018-2032
    • 5.3.7 Managed
      • 5.3.7.1 Market estimates and forecast, 2018-2032

Chapter 6 Automation Testing Market, By End Point Interface

  • 6.1 Key trends, by end point interface
  • 6.2 Mobile
    • 6.2.1 Market estimates and forecast, 2018-2032
  • 6.3 Web
    • 6.3.1 Market estimates and forecast, 2018-2032
  • 6.4 Desktop
    • 6.4.1 Market estimates and forecast, 2018-2032
  • 6.5 Cloud
    • 6.5.1 Market estimates and forecast, 2018-2032
  • 6.6 Embedded software
    • 6.6.1 Market estimates and forecast, 2018-2032

Chapter 7 Automation Testing Market, By Application

  • 7.1 Key trends, by application
  • 7.2 IT & telecom
    • 7.2.1 Market estimates and forecast, 2018-2032
  • 7.3 BFSI
    • 7.3.1 Market estimates and forecast, 2018-2032
  • 7.4 Manufacturing
    • 7.4.1 Market estimates and forecast, 2018-2032
  • 7.5 Retail
    • 7.5.1 Market estimates and forecast, 2018-2032
  • 7.6 Transport & logistics
    • 7.6.1 Market estimates and forecast, 2018-2032
  • 7.7 Government & public sector
    • 7.7.1 Market estimates and forecast, 2018-2032
  • 7.8 Smart consumer devices
    • 7.8.1 Market estimates and forecast, 2018-2032
  • 7.9 Automotive
    • 7.9.1 Market estimates and forecast, 2018-2032
  • 7.10 Healthcare & Medical devices
    • 7.10.1 Market estimates and forecast, 2018-2032
  • 7.11 Others
    • 7.11.1 Market estimates and forecast, 2018-2032

Chapter 8 Automation Testing Market, By Region

  • 8.1 Key trends, by region
  • 8.2 North America
    • 8.2.1 Market estimates and forecast, 2018-2032
    • 8.2.2 Market estimates and forecast, by component, 2018-2032
      • 8.2.2.1 Market estimates and forecast, by testing type, 2018-2032
      • 8.2.2.2 Market estimates and forecast, by services, 2018-2032
    • 8.2.3 Market estimates and forecast, by end point interface, 2018-2032
    • 8.2.4 Market estimates and forecast, by application, 2018-2032
    • 8.2.5 U.S.
      • 8.2.5.1 Market estimates and forecast, 2018-2032
      • 8.2.5.2 Market estimates and forecast, by component, 2018-2032
        • 8.2.5.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.2.5.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.2.5.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.2.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.2.6 Canada
      • 8.2.6.1 Market estimates and forecast, 2018-2032
      • 8.2.6.2 Market estimates and forecast, by component, 2018-2032
        • 8.2.6.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.2.6.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.2.6.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.2.6.4 Market estimates and forecast, by application, 2018-2032
  • 8.3 Europe
    • 8.3.1 Market estimates and forecast, 2018-2032
    • 8.3.2 Market estimates and forecast, by component, 2018-2032
      • 8.3.2.1 Market estimates and forecast, by testing type, 2018-2032
      • 8.3.2.2 Market estimates and forecast, by services, 2018-2032
    • 8.3.3 Market estimates and forecast, by end point interface, 2018-2032
    • 8.3.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.5 UK
      • 8.3.5.1 Market estimates and forecast, 2018-2032
      • 8.3.5.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.5.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.5.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.5.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.6 Germany
      • 8.3.6.1 Market estimates and forecast, 2018-2032
      • 8.3.6.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.6.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.6.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.6.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.6.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.7 France
      • 8.3.7.1 Market estimates and forecast, 2018-2032
      • 8.3.7.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.7.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.7.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.7.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.7.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.8 Italy
      • 8.3.8.1 Market estimates and forecast, 2018-2032
      • 8.3.8.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.8.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.8.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.8.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.8.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.9 Spain
      • 8.3.9.1 Market estimates and forecast, 2018-2032
      • 8.3.9.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.9.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.9.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.9.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.9.4 Market estimates and forecast, by application, 2018-2032
    • 8.3.10 Russia
      • 8.3.10.1 Market estimates and forecast, 2018-2032
      • 8.3.10.2 Market estimates and forecast, by component, 2018-2032
        • 8.3.10.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.3.10.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.3.10.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.3.10.4 Market estimates and forecast, by application, 2018-2032
  • 8.4 Asia Pacific
    • 8.4.1 Market estimates and forecast, 2018-2032
    • 8.4.2 Market estimates and forecast, by component, 2018-2032
      • 8.4.2.1 Market estimates and forecast, by testing type, 2018-2032
      • 8.4.2.2 Market estimates and forecast, by services, 2018-2032
    • 8.4.3 Market estimates and forecast, by end point interface, 2018-2032
    • 8.4.4 Market estimates and forecast, by application, 2018-2032
    • 8.4.5 China
      • 8.4.5.1 Market estimates and forecast, 2018-2032
      • 8.4.5.2 Market estimates and forecast, by component, 2018-2032
        • 8.4.5.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.4.5.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.4.5.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.4.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.4.6 India
      • 8.4.6.1 Market estimates and forecast, 2018-2032
      • 8.4.6.2 Market estimates and forecast, by component, 2018-2032
        • 8.4.6.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.4.6.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.4.6.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.4.6.4 Market estimates and forecast, by application, 2018-2032
    • 8.4.7 Japan
      • 8.4.7.1 Market estimates and forecast, 2018-2032
      • 8.4.7.2 Market estimates and forecast, by component, 2018-2032
        • 8.4.7.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.4.7.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.4.7.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.4.7.4 Market estimates and forecast, by application, 2018-2032
    • 8.4.8 South Korea
      • 8.4.8.1 Market estimates and forecast, 2018-2032
      • 8.4.8.2 Market estimates and forecast, by component, 2018-2032
        • 8.4.8.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.4.8.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.4.8.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.4.8.4 Market estimates and forecast, by application, 2018-2032
    • 8.4.9 ANZ
      • 8.4.9.1 Market estimates and forecast, 2018-2032
      • 8.4.9.2 Market estimates and forecast, by component, 2018-2032
        • 8.4.9.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.4.9.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.4.9.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.4.9.4 Market estimates and forecast, by application, 2018-2032
  • 8.5 Latin America
    • 8.5.1 Market estimates and forecast, 2018-2032
    • 8.5.2 Market estimates and forecast, by component, 2018-2032
      • 8.5.2.1 Market estimates and forecast, by testing type, 2018-2032
      • 8.5.2.2 Market estimates and forecast, by services, 2018-2032
    • 8.5.3 Market estimates and forecast, by end point interface, 2018-2032
    • 8.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.5.5 Brazil
      • 8.5.5.1 Market estimates and forecast, 2018-2032
      • 8.5.5.2 Market estimates and forecast, by component, 2018-2032
        • 8.5.5.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.5.5.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.5.5.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.5.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.5.6 Mexico
      • 8.5.6.1 Market estimates and forecast, 2018-2032
      • 8.5.6.2 Market estimates and forecast, by component, 2018-2032
        • 8.5.6.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.5.6.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.5.6.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.5.6.4 Market estimates and forecast, by application, 2018-2032
    • 8.5.7 Argentina
      • 8.5.7.1 Market estimates and forecast, 2018-2032
      • 8.5.7.2 Market estimates and forecast, by component, 2018-2032
        • 8.5.7.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.5.7.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.5.7.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.5.7.4 Market estimates and forecast, by application, 2018-2032
  • 8.6 MEA
    • 8.6.1 Market estimates and forecast, 2018-2032
    • 8.6.2 Market estimates and forecast, by component, 2018-2032
      • 8.6.2.1 Market estimates and forecast, by testing type, 2018-2032
      • 8.6.2.2 Market estimates and forecast, by services, 2018-2032
    • 8.6.3 Market estimates and forecast, by end point interface, 2018-2032
    • 8.6.4 Market estimates and forecast, by application, 2018-2032
    • 8.6.5 South Africa
      • 8.6.5.1 Market estimates and forecast, 2018-2032
      • 8.6.5.2 Market estimates and forecast, by component, 2018-2032
        • 8.6.5.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.6.5.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.6.5.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.6.5.4 Market estimates and forecast, by application, 2018-2032
    • 8.6.6 Israel
      • 8.6.6.1 Market estimates and forecast, 2018-2032
      • 8.6.6.2 Market estimates and forecast, by component, 2018-2032
        • 8.6.6.2.1 Market estimates and forecast, by testing type, 2018-2032
        • 8.6.6.2.2 Market estimates and forecast, by services, 2018-2032
      • 8.6.6.3 Market estimates and forecast, by end point interface, 2018-2032
      • 8.6.6.4 Market estimates and forecast, by application, 2018-2032

Chapter 9 Company Profiles

  • 9.1 Accenture
    • 9.1.1 Business Overview
    • 9.1.2 Financial Data
    • 9.1.3 Product Landscape
    • 9.1.4 Strategic Outlook
    • 9.1.5 SWOT Analysis
  • 9.2 Amdocs
    • 9.2.1 Business Overview
    • 9.2.2 Financial Data
    • 9.2.3 Product Landscape
    • 9.2.4 Strategic Outlook
    • 9.2.5 SWOT Analysis
  • 9.3 Astegic
    • 9.3.1 Business Overview
    • 9.3.2 Financial Data
    • 9.3.3 Product Landscape
    • 9.3.4 Strategic Outlook
    • 9.3.5 SWOT Analysis
  • 9.4 Atos SE
    • 9.4.1 Business Overview
    • 9.4.2 Financial Data
    • 9.4.3 Product Landscape
    • 9.4.4 Strategic Outlook
    • 9.4.5 SWOT Analysis
  • 9.5 Capgemini
    • 9.5.1 Business Overview
    • 9.5.2 Financial Data
    • 9.5.3 Product Landscape
    • 9.5.4 Strategic Outlook
    • 9.5.5 SWOT Analysis
  • 9.6 CGI Inc.
    • 9.6.1 Business Overview
    • 9.6.2 Financial Data
    • 9.6.3 Product Landscape
    • 9.6.4 Strategic Outlook
    • 9.6.5 SWOT Analysis
  • 9.7 Cigniti
    • 9.7.1 Business Overview
    • 9.7.2 Financial Data
    • 9.7.3 Product Landscape
    • 9.7.4 Strategic Outlook
    • 9.7.5 SWOT Analysis
  • 9.8 Cognizant
    • 9.8.1 Business Overview
    • 9.8.2 Financial Data
    • 9.8.3 Product Landscape
    • 9.8.4 Strategic Outlook
    • 9.8.5 SWOT Analysis
  • 9.9 CSC (DXC Technology Company)
    • 9.9.1 Business Overview
    • 9.9.2 Financial Data
    • 9.9.3 Product Landscape
    • 9.9.4 Strategic Outlook
    • 9.9.5 SWOT Analysis
  • 9.10 Eggplant
    • 9.10.1 Business Overview
    • 9.10.2 Financial Data
    • 9.10.3 Product Landscape
    • 9.10.4 Strategic Outlook
    • 9.10.5 SWOT Analysis
  • 9.11 HCL Technologies Limited
    • 9.11.1 Business Overview
    • 9.11.2 Financial Data
    • 9.11.3 Product Landscape
    • 9.11.4 Strategic Outlook
    • 9.11.5 SWOT Analysis
  • 9.12 IBM
    • 9.12.1 Business Overview
    • 9.12.2 Financial Data
    • 9.12.3 Product Landscape
    • 9.12.4 Strategic Outlook
    • 9.12.5 SWOT Analysis
  • 9.13 Infosys
    • 9.13.1 Business Overview
    • 9.13.2 Financial Data
    • 9.13.3 Product Landscape
    • 9.13.4 Strategic Outlook
    • 9.13.5 SWOT Analysis
  • 9.14 Micro Focus
    • 9.14.1 Business Overview
    • 9.14.2 Financial Data
    • 9.14.3 Product Landscape
    • 9.14.4 Strategic Outlook
    • 9.14.5 SWOT Analysis
  • 9.15 Microsoft
    • 9.15.1 Business Overview
    • 9.15.2 Financial Data
    • 9.15.3 Product Landscape
    • 9.15.4 Strategic Outlook
    • 9.15.5 SWOT Analysis
  • 9.16 Mobisoft Infotech
    • 9.16.1 Business Overview
    • 9.16.2 Financial Data
    • 9.16.3 Product Landscape
    • 9.16.4 Strategic Outlook
    • 9.16.5 SWOT Analysis
  • 9.17 NTT DATA Inc.
    • 9.17.1 Business Overview
    • 9.17.2 Financial Data
    • 9.17.3 Product Landscape
    • 9.17.4 Strategic Outlook
    • 9.17.5 SWOT Analysis
  • 9.18 Qualitest
    • 9.18.1 Business Overview
    • 9.18.2 Financial Data
    • 9.18.3 Product Landscape
    • 9.18.4 Strategic Outlook
    • 9.18.5 SWOT Analysis
  • 9.19 SmartBear Software
    • 9.19.1 Business Overview
    • 9.19.2 Financial Data
    • 9.19.3 Product Landscape
    • 9.19.4 Strategic Outlook
    • 9.19.5 SWOT Analysis
  • 9.20 Tata Consultancy Services Limited
    • 9.20.1 Business Overview
    • 9.20.2 Financial Data
    • 9.20.3 Product Landscape
    • 9.20.4 Strategic Outlook
    • 9.20.5 SWOT Analysis
  • 9.21 Tech Mahindra Limited
    • 9.21.1 Business Overview
    • 9.21.2 Financial Data
    • 9.21.3 Product Landscape
    • 9.21.4 Strategic Outlook
    • 9.21.5 SWOT Analysis
  • 9.22 Tricentis
    • 9.22.1 Business Overview
    • 9.22.2 Financial Data
    • 9.22.3 Product Landscape
    • 9.22.4 Strategic Outlook
    • 9.22.5 SWOT Analysis
  • 9.23 Wipro Limited
    • 9.23.1 Business Overview
    • 9.23.2 Financial Data
    • 9.23.3 Product Landscape
    • 9.23.4 Strategic Outlook
    • 9.23.5 SWOT Analysis