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2023-2032年自动化测试市场规模，按组件、按终端接口、按应用和预测分类
市场调查报告书
商品编码
1289004

2023-2032年自动化测试市场规模，按组件、按终端接口、按应用和预测分类

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个工作天内

价格
简介目录

全球自动化测试市场预计到2032年将呈现指数级增长，这是因为数字媒体的渗透率不断提高，如用于媒体流、在线游戏和数字支付的移动设备。

智能手机、可穿戴设备和笔记本电脑等消费电子产品正变得更加数字化，这导致对自动化测试服务的需求大幅增加，以改善这些产品的安全性、功能和性能。例如，2021年8月，总部位于美国的IT公司Ranorex发布了其自动化测试工具的最新版本Studio 10.1。该更新版本在管理数据源对话框中增加了对数据库登录凭证的屏蔽，并从.NET 4.6.2框架升级到.NET 4.8框架。

自动化测试市场已经根据组件、终端界面、应用和地区进行了细分。

在组件方面，服务部分进一步分为咨询和顾问、规划和开发、支持和维护、文件和培训、实施和管理等子部分，从2023年到2032年可以获得巨大的推动力。

咨询和顾问服务在2022年积累了超过10%的市场份额，预计将在未来十年推动可观的收入。这些服务帮助企业在整个交付生命周期中加强他们的质量保证重点领域，包括基础设施、工具和人员，因此，支持市场增长。

关于终端界面，网络部分的自动化测试市场收入在2022年达到20多亿美元，并可能在2032年前大幅增长。该部分的增长可归功于各行业对跨操作系统（OS）测试和跨浏览器测试的需求不断增加，如汽车、消费电子、电子商务和零售。

同时，由于全球工作站、个人电脑和台式机的销售量不断增加，台式机部分在2022年约占5%的市场份额，估计在审查期限内将见证稳定增长。

在应用方面，运输和物流领域预计到2032年将有超过10%的年复合增长率。运输和物流业的自动化测试为软件开发和部署过程带来效率、可靠性和成本效益。通过利用自动化，该领域的公司可以提高其系统的质量，减少人工操作，降低风险，并在日益数字化和互联的环境中提供卓越的用户体验。

从区域角度来看，北美自动化测试市场在2022年价值超过90亿美元，并可能在2023-2032年观察到可观的扩张。智能消费产品在该地区的渗透率不断提高，预计将推动区域市场的增长。同样，由于迪拜、沙特阿拉伯、科威特和阿布扎比对豪华汽车和超级跑车的需求飙升，中东和非洲的自动化测试行业准备在2023年至2032年期间以超过10%的年复合增长率扩张。

目录

第一章：方法和范围

第二章：执行摘要

第三章：自动化测试行业洞察力

  • 简介
  • 2018-2032年的行业格局
    • 手动测试与自动化软件测试
    • 自动化测试工具和平台
      • Selenium
      • 测试小灵通
      • Ranorex
      • HPE统一功能测试
      • 测试完成
      • 淘宝网
      • 淘宝网
      • 统一功能测试
      • 呼叫中心
      • 托斯卡测试套件
    • 无线自动化测试概述
      • Wi Fi
      • 蓝牙
      • 物联网
  • COVID-19的影响
    • 各地区的影响
  • 俄罗斯-乌克兰战争的影响
  • 自动化测试行业生态系统分析
    • 自动化测试工具/平台
    • 测试服务提供商
    • 云服务提供者
    • 专业服务提供商
    • 管理服务提供商
    • 最终用途
    • 供应商矩阵
  • 利润率分析
  • 技术与创新格局
    • 无代码自动化测试
    • 自动化的AI和机器学习
    • 机器人流程自动化(RPA)
    • Selenium测试原子化
  • 专利情况
  • 关键倡议和新闻
  • 监管情况
    • 国际
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 行业影响力量
    • 增长动力
      • 自动化测试中对AI和ML的需求不断上升
      • 越来越多地采用DevOps方法
      • 越来越多地采用敏捷开发环境来保证质量和测试
      • 基于移动的应用程序的高消费
      • 发达国家的数字化程度不断提高
      • 北美地区的家庭自动化设备激增
    • 行业隐患和挑战
      • 缺少熟练的专业人员
      • 实施成本高，手动测试比自动化测试更受欢迎
  • 投资组合
  • 增长潜力分析
  • 波特的分析
  • PESTEL分析

第四章：2022年的竞争格局

  • 简介
  • 2022年市场份额分析
  • 2022年主要市场参与者的竞争分析
    • Accenture
    • Cognizant
    • IBM
    • Tata Consultancy Services Limited
    • Capgemini
    • Wipro Limited
    • NTT DATA Inc.
  • 2022年创新企业的竞争分析
    • Atos SE
    • Amdocs
    • Tech Mahindra Limited
    • HCL Technologies Limited
    • CGI Inc.
  • 供应商采用矩阵
  • 战略前景矩阵

第五章：自动化测试市场：按组件分类

  • 主要趋势，按组件分类
  • 测试类型
    • 功能测试
      • 系统测试
      • 单元测试
      • 集成测试
      • 烟雾测试
      • 回归测试
      • 其他测试
    • 非功能测试
      • 安全测试
      • 性能测试
      • 可用性测试
      • API测试
      • 合规性测试
      • 其他
  • 服务
    • 咨询和顾问
    • 规划与开发
    • 支持和维护
    • 文档和培训
    • 实施
    • 管理

第六章：自动化测试市场：按终端接口分类

  • 主要趋势，按终端接口分类
  • 手机
  • 网络
  • 台式机
  • 云端
  • 嵌入式软件

第7章 ：自动化测试市场：按应用分类

  • 主要趋势，按应用分类
  • IT和电信
  • BFSI
  • 制造业
  • 零售业
  • 运输和物流
  • 政府和公共领域
  • 智能消费设备
  • 汽车行业
  • 保健和医疗设备
  • 其他

第八章：自动化测试市场：按地区划分

  • 主要趋势，按地区
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 俄罗斯
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 以色列

第九章：公司简介

  • 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
简介目录
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