查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1865521

全球智慧自動化測試市場：預測至 2032 年 - 按組件、測試類型、部署方法、組織規模、介面、最終用戶和地區進行分析

Intelligent Automation Testing Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Testing Type, Deployment Mode, Organization Size, Interface, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratestix MRC 的數據，預計到 2025 年，全球智慧自動化測試市場規模將達到 42 億美元，到 2032 年將達到 164.1 億美元，預測期內複合年成長率為 21.5%。

智慧自動化測試利用先進的人工智慧、機器學習和數據驅動的洞察，簡化並提升軟體測試流程。與傳統的手動腳本不同，它可以自動偵測缺陷、建立測試場景並適應程式碼更新。智慧測試工具會分析歷史測試結果、使用者行為模式和風險區域，從而擴大測試覆蓋範圍並專注於高優先級問題。這最大限度地減少了人工操作，提高了測試速度，並增強了產品品質。隨著應用程式的不斷變化，這些智慧型系統會持續改進腳本並不斷學習，使其成為敏捷和DevOps團隊的理想選擇。最終，智慧自動化測試能夠幫助企業在快速發展的數位生態系統中更快地發布可靠的軟體。

根據美國國家標準與技術美國(NIST) 的數據，軟體缺陷每年造成美國經濟約 595 億美元的損失，其中超過一半的損失由最終用戶承擔。 NIST 強調了自動化測試在降低這些成本和提高軟體可靠性方面所發揮的重要作用。

人工智慧和機器學習在測試領域的應用日益廣泛

隨著企業擴大利用人工智慧和機器學習來增強軟體檢驗，智慧自動化測試市場正在不斷擴張。這些技術能夠實現自動化腳本編寫、模式識別和失敗測試案例的自我修復，從而最大限度地減少人為干預。機器學習利用歷史數據來最佳化測試覆蓋率並專注於關鍵風險領域。隨著現代軟體系統規模越來越大、結構越來越複雜，智慧測試平台有助於確保測試的準確性和速度。企業能夠提高產品穩定性、縮短測試週期並做出更聰明的、主導分析的決策。因此，人工智慧和機器學習的普及應用已成為推動市場成長的最強勁動力之一。

高昂的初始投資和實施成本

智慧自動化測試的一大限制因素是其實施和營運所需的高昂資金負擔。基於人工智慧的測試平台需要大量的初期投入，包括聘請專家、建立新的基礎設施、支付許可費以及持續提陞技能。對於中小企業而言，相較於傳統測試方法，更簡單、成本更低的替代方案使得他們難以證明遷移的合理性。持續的成本，例如框架維護、軟體更新和系統客製化，進一步增加了預算需求。許多組織由於無法立即獲得收益而猶豫是否大規模採用。因此，高昂的實施和擁有成本阻礙了市場成長，尤其是在價格敏感型產業和新興經濟體。

DevOps 和敏捷開發中對持續測試的需求日益成長

向敏捷開發和DevOps工作流程的轉變為智慧自動化測試帶來了巨大的機會。持續測試有助於在開發的每個階段檢驗質量，這需要自動化執行和快速洞察。智慧工具可直接與CI/CD系統整合，執行自我修復功能，並優先處理高風險案例以維護軟體穩定性。隨著數位轉型的加速，企業依賴持續檢驗來支援頻繁的更新。這些平台能夠及早發現缺陷，從而減少發布延遲並降低整體測試成本。隨著企業在更快的產品週期上競爭，人工智慧驅動的持續測試已成為關鍵促進因素，在全球範圍內催生了對智慧測試解決方案的強勁需求。

由於技術快速變革，工具面臨過時的風險。

由於技術週期快速迭代，智慧自動化測試市場面臨許多風險。隨著越來越多的企業採用微服務、雲端原生應用和新型編碼框架等現代化軟體模型，傳統的自動化平台難以有效支援這些模型。企業必須不斷升級自身功能，否則使用者可能會轉而使用更進階的工具。持續的更新、員工培訓和工具遷移都會增加額外成本，並擾亂業務運作。如果測試系統無法適應新的架構，準確度就會下降，流程也會變慢。這種持續存在的過時風險使得企業在進行大規模投資時更加謹慎，從而造成不確定性和激烈的競爭壓力。

新冠疫情的影響：

新冠疫情對智慧自動化測試市場產生了複雜的影響。疫情在加速數位化進程的同時，也造成了暫時的財務壓力。遠端辦公模式催生了對雲端測試、快速更新以及數位平台自動化檢驗的需求。這促使許多公司採用智慧測試工具來維護軟體的可靠性。同時，經濟放緩和成本削減措施導致一些企業推遲了IT升級，影響了短期市場成長。儘管中小企業在支出方面保持謹慎，但醫療保健、金融、線上零售和數位學習等行業卻增加了對自動化測試的投資。從長遠來看，疫情凸顯了速度、準確性和遠端協作的重要性，從而增強了市場需求。

在預測期內，雲端業務板塊將佔據最大的市場佔有率。

預計在預測期內，雲端測試領域將佔據最大的市場佔有率，因為企業正擴大採用靈活且經濟實惠的測試環境。雲端平台消除了硬體限制，並提供即時擴展、遠端存取和快速測試執行。親和性持續交付管線，使不同地點的團隊能夠有效率地協作。雲端智慧測試工具可自動更新，與最新的軟體模式整合，並提供即時洞察。隨著遠距和混合辦公室成為常態，企業正轉向雲端測試，因為它具有速度快、自動化程度高和易於管理等優點。訂閱式按需測試服務的普及繼續推動雲端基礎自動化的主導地位。

預測期內，零售和電子商務產業的複合年成長率將最高。

預計在預測期內，零售和電子商務領域將保持最高的成長率，因為企業越來越依賴數位平台來服務客戶。智慧自動化有助於維護應用程式和網站的可靠性能，實現安全交易，並提供個人化的購物體驗。頻繁的產品發布、流量波動以及以客戶為中心的介面都要求快速測試和問題解決。自動化工具可以模擬真實的瀏覽環境，從而立即檢測錯誤並最大限度地減少中斷。隨著零售商向全通路服務擴展，智慧測試可確保行動應用程式、入口網站和後端系統效能的一致性。線上零售的日益普及持續推動著該領域對智慧測試的強勁需求。

佔比最大的地區：

由於北美地區數位化成熟度高，且廣泛採用先進的自動化工具，預計該地區將在整個預測期內佔據最大的市場佔有率。 IT、通訊、金融、醫療保健和零售等行業的公司都依賴智慧測試來加速產品發布、提高準確性並維護軟體品質。該地區擁有大規模的自動化供應商、人工智慧Start-Ups和雲端技術領導者生態系統，使其能夠輕鬆利用最新的創新成果。各組織機構正在積極投資自動化檢驗，以支援敏捷計劃、加強應用程式安全性並改善客戶體驗。雲端採用率的不斷提高、DevOps 的整合以及現代開發模式的普及，將繼續鞏固北美在智慧測試領域的主導地位。

預計年複合成長率最高的地區：

亞太地區預計將在預測期內實現最高的複合年成長率，這主要得益於高數位化普及率和業務流程現代化。 IT外包、通訊、銀行和線上零售等行業依賴智慧自動化來管理複雜的軟體並加快配置。雲端基礎設施的日益普及、行動用戶數量的成長以及科技主導Start-Ups的崛起，都在推動對自動化測試工具的需求。企業正在尋求靈活且經濟實惠的平台，以提高可靠性並減少人工投入。政府對數位化舉措的支持進一步加速了這一趨勢。隨著科技的快速發展，亞太地區將繼續保持智慧自動化測試市場最具發展前景和成長速度最快的地位。

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球智慧自動化測試市場（按組件分類）

  • 介紹
  • 解決方案
  • 服務
    • 實施與整合
    • 託管測試服務
    • 諮詢和培訓

6. 全球智慧自動化測試市場（依測試類型分類）

  • 介紹
  • 功能測試
  • 非功能性測試
    • 績效自動化
    • 安全自動化
    • 可用性自動化
    • 相容性自動化

7. 全球智慧自動化測試市場以部署方式分類

  • 介紹
  • 本地部署
  • 雲

8. 按組織規模分類的全球智慧自動化測試市場

  • 介紹
  • 小型企業
  • 主要企業

9. 全球智慧自動化測試市場（按介面分類）

  • 介紹
  • Web應用程式
  • 行動應用
  • 桌面應用程式
  • 嵌入式系統

第10章 全球智慧自動化測試市場（以最終用戶分類）

  • 介紹
  • 資訊科技/通訊
  • 銀行、金融服務和保險 (BFSI)
  • 醫學與生命科​​學
  • 零售與電子商務
  • 製造和工業自動化
  • 政府/公共部門
  • 其他最終用戶

第11章 全球智慧自動化測試市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：公司簡介

  • Qualitest Group
  • TestFort
  • QASource
  • Infosys
  • QA Mentor
  • ScienceSoft
  • Tricentis
  • SmartBear Software
  • Testim
  • Ranorex
  • Accenture
  • Applitools
  • Capgemini
  • IBM Corporation
  • Sauce Labs Inc.
Product Code: SMRC32145

According to Stratistics MRC, the Global Intelligent Automation Testing Market is accounted for $4.2 billion in 2025 and is expected to reach $16.41 billion by 2032 growing at a CAGR of 21.5% during the forecast period. Intelligent Automation Testing uses advanced AI, ML, and data-driven insights to streamline and elevate software testing. Unlike traditional manual scripts, it automatically detects bugs, builds test scenarios, and adapts to code updates. Smart testing tools study past results, user patterns, and risk areas to increase coverage and focus on high-priority issues. This minimizes manual effort, boosts testing speed, and strengthens product quality. As applications change, these intelligent systems refine scripts and continue learning, making them ideal for agile and DevOps teams. Ultimately, Intelligent Automation Testing helps companies release dependable software quicker in fast-moving digital ecosystems.

According to the U.S. National Institute of Standards and Technology (NIST), software bugs cost the U.S. economy an estimated $59.5 billion annually, with more than half of these costs borne by end users. NIST emphasizes the role of automated testing in reducing these costs and improving software reliability.

Market Dynamics:

Driver:

Growing adoption of AI and machine learning in testing

The market for Intelligent Automation Testing is expanding as organizations increasingly rely on AI and machine learning to enhance software validation. These technologies enable automated script creation, pattern detection, and self-healing of failed test cases, minimizing human intervention. Machine learning uses historical data to refine test coverage and focus attention on key risk zones. With modern software systems becoming larger and more complex, intelligent testing platforms help ensure accuracy and speed. Companies gain better product stability, shorter testing cycles, and smarter analytics-driven decisions. As a result, AI and ML adoption has become one of the strongest accelerators of market growth.

Restraint:

High initial investment and implementation cost

A key limitation for Intelligent Automation Testing is the substantial financial effort required for setup and operation. AI-based testing platforms demand specialized experts, new infrastructure, licensing fees, and continuous skill development, making the initial expense high. Small and mid-sized companies struggle to justify the shift because traditional testing methods are simpler and less costly. Ongoing expenses such as framework maintenance, software updates, and system customization further increase budget requirements. In many organizations, the benefits are not realized immediately, causing hesitation in large-scale adoption. As a result, high deployment and ownership costs slow market growth, especially in price-sensitive sectors and emerging economies.

Opportunity:

Increasing demand for continuous testing in DevOps and agile

The push toward agile development and DevOps workflows offers significant opportunity for Intelligent Automation Testing. Continuous testing helps teams verify quality at each stage of development, requiring automated execution and rapid insights. Intelligent tools integrate directly with CI/CD systems, perform self-healing, and prioritize high-risk cases to maintain software stability. With digital transformation accelerating, companies rely on continuous validation to support frequent updates. These platforms detect bugs early, reduce release delays, and lower overall testing expenses. As firms compete with faster product cycles, AI-powered continuous testing becomes a key enabler, driving strong demand for intelligent testing solutions worldwide.

Threat:

Rapid technological changes leading to tool obsolescence

The Intelligent Automation Testing market faces risk from fast-moving technology cycles, which can render tools obsolete in a short time. As businesses adopt modern software models like microservices, cloud-native apps, and new coding frameworks, older automation platforms may not support them effectively. Companies must continually upgrade features, or users may replace them with advanced tools. Regular updates, staff training, and tool migrations create extra expense and operational disruption. When testing systems cannot adapt to new architectures, they reduce accuracy and slow processes. This constant threat of becoming outdated makes organizations cautious about investing heavily, creating uncertainty and strong competitive pressure.

Covid-19 Impact:

COVID-19 had a mixed influence on the Intelligent Automation Testing market, driving rapid digital adoption while causing temporary financial pressure. Remote work models created the need for cloud-enabled testing, faster updates, and automated validation of digital platforms. This pushed many enterprises to adopt intelligent testing tools to maintain software reliability. At the same time, economic slowdown and cost-cutting led some organizations to postpone IT upgrades, affecting short-term market growth. Smaller firms were more cautious with spending, but sectors such as healthcare, finance, online retail, and e-learning increased investment in automated testing. In the long run, the pandemic strengthened market demand by emphasizing speed, accuracy, and remote collaboration.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is expected to account for the largest market share during the forecast period, as businesses increasingly adopt flexible and affordable testing ecosystems. Cloud platforms eliminate hardware limitations, offering immediate scalability, remote access, and faster test execution. They fit well with continuous delivery pipelines and enable teams in different locations to collaborate efficiently. Intelligent testing tools in the cloud can self-update, integrate with modern software models, and deliver real-time insights. With remote and hybrid workplaces becoming common, organizations depend on cloud testing for speed, automation, and easier management. The popularity of subscription-based, on-demand testing services continues to boost the dominance of cloud-based automation.

The retail & e-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & e-commerce segment is predicted to witness the highest growth rate because companies increasingly depend on digital platforms to serve customers. Intelligent automation helps maintain reliable app and website performance, secure transactions, and personalized shopping experiences. Frequent product launches, heavy traffic variations, and customer-centric interfaces require rapid testing and quick issue resolution. Automation tools recreate real browsing conditions, detect bugs instantly, and minimize disruptions. As retailers expand into omnichannel services, intelligent testing ensures consistent performance across mobile apps, web portals, and backend systems. Growing online retail adoption continues to drive strong demand for intelligent testing in this segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by high digital maturity and strong adoption of advanced automation tools. Businesses in IT, telecom, finance, healthcare, and retail depend on intelligent testing to speed up releases, improve accuracy, and maintain software quality. The region benefits from a large ecosystem of automation vendors, AI startups, and cloud technology leaders, making new innovations easily accessible. Organizations actively invest in automated validation to support agile projects, secure applications, and enhance customer experience. Growing cloud usage, DevOps integration, and modern development models continue to reinforce North America's leadership in intelligent testing.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by strong digital adoption and modernization of business processes. Industries such as IT outsourcing, telecom, banking, and online retail rely on intelligent automation to manage complex software and speed up deployment. Increasing use of cloud infrastructure, expanding mobile users, and the rise of tech-driven startups are strengthening demand for automated testing tools. Companies seek flexible, affordable platforms that improve reliability and reduce human effort. Government support for digital initiatives further accelerates adoption. With rapid technology evolution, Asia-Pacific remains the most promising and rapidly expanding market for intelligent automation testing.

Key players in the market

Some of the key players in Intelligent Automation Testing Market include Qualitest Group, TestFort, QASource, Infosys, QA Mentor, ScienceSoft, Tricentis, SmartBear Software, Testim, Ranorex, Accenture, Applitools, Capgemini, IBM Corporation and Sauce Labs Inc.

Key Developments:

In October 2025, Infosys has won a £1.2 billion contract with the NHS Business Services Authority to develop and implement the Future NHS Workforce Solution. This 15-year agreement aims to revolutionize workforce management for the NHS in England and Wales. The new platform will replace the current Electronic Staff Record system, managing payroll for 1.9 million NHS employees and processing over £55 billion annually.

In August 2025, Accenture has agreed to acquire CyberCX, a leading privately-owned cybersecurity services provider serving both private and public sector organizations across Australia, New Zealand and internationally. The move represents Accenture's largest cybersecurity acquisition to date and will significantly bolster Accenture's cybersecurity services in Asia Pacific.

In April 2023, Qualitest announces the acquisition of Q Analysts. The Q Analysts acquisition adds significant expertise in quality engineering for cutting-edge technologies and marks Qualitest's sixth strategic acquisition in two years. Through this acquisition, Qualitest expands its US geographical footprint to include new test labs in California and the State of Washington and capabilities in other key US service locations.

Components Covered:

  • Solutions
  • Services

Testing Types Covered:

  • Functional Testing
  • Non-Functional Testing

Deployment Modes Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

Interfaces Covered:

  • Web Applications
  • Mobile Applications
  • Desktop Applications
  • Embedded Systems

End Users Covered:

  • IT & Telecom
  • BFSI (Banking, Financial Services, and Insurance)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing & Industrial Automation
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Intelligent Automation Testing Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services
    • 5.3.1 Implementation & Integration
    • 5.3.2 Managed Testing Services
    • 5.3.3 Consulting & Training

6 Global Intelligent Automation Testing Market, By Testing Type

  • 6.1 Introduction
  • 6.2 Functional Testing
  • 6.3 Non-Functional Testing
    • 6.3.1 Performance Automation
    • 6.3.2 Security Automation
    • 6.3.3 Usability Automation
    • 6.3.4 Compatibility Automation

7 Global Intelligent Automation Testing Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud

8 Global Intelligent Automation Testing Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small and Medium Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global Intelligent Automation Testing Market, By Interface

  • 9.1 Introduction
  • 9.2 Web Applications
  • 9.3 Mobile Applications
  • 9.4 Desktop Applications
  • 9.5 Embedded Systems

10 Global Intelligent Automation Testing Market, By End User

  • 10.1 Introduction
  • 10.2 IT & Telecom
  • 10.3 BFSI (Banking, Financial Services, and Insurance)
  • 10.4 Healthcare & Life Sciences
  • 10.5 Retail & E-commerce
  • 10.6 Manufacturing & Industrial Automation
  • 10.7 Government & Public Sector
  • 10.8 Other End Users

11 Global Intelligent Automation Testing Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Qualitest Group
  • 13.2 TestFort
  • 13.3 QASource
  • 13.4 Infosys
  • 13.5 QA Mentor
  • 13.6 ScienceSoft
  • 13.7 Tricentis
  • 13.8 SmartBear Software
  • 13.9 Testim
  • 13.10 Ranorex
  • 13.11 Accenture
  • 13.12 Applitools
  • 13.13 Capgemini
  • 13.14 IBM Corporation
  • 13.15 Sauce Labs Inc.

List of Tables

  • Table 1 Global Intelligent Automation Testing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Intelligent Automation Testing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Intelligent Automation Testing Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Intelligent Automation Testing Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Intelligent Automation Testing Market Outlook, By Implementation & Integration (2024-2032) ($MN)
  • Table 6 Global Intelligent Automation Testing Market Outlook, By Managed Testing Services (2024-2032) ($MN)
  • Table 7 Global Intelligent Automation Testing Market Outlook, By Consulting & Training (2024-2032) ($MN)
  • Table 8 Global Intelligent Automation Testing Market Outlook, By Testing Type (2024-2032) ($MN)
  • Table 9 Global Intelligent Automation Testing Market Outlook, By Functional Testing (2024-2032) ($MN)
  • Table 10 Global Intelligent Automation Testing Market Outlook, By Non-Functional Testing (2024-2032) ($MN)
  • Table 11 Global Intelligent Automation Testing Market Outlook, By Performance Automation (2024-2032) ($MN)
  • Table 12 Global Intelligent Automation Testing Market Outlook, By Security Automation (2024-2032) ($MN)
  • Table 13 Global Intelligent Automation Testing Market Outlook, By Usability Automation (2024-2032) ($MN)
  • Table 14 Global Intelligent Automation Testing Market Outlook, By Compatibility Automation (2024-2032) ($MN)
  • Table 15 Global Intelligent Automation Testing Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 16 Global Intelligent Automation Testing Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 17 Global Intelligent Automation Testing Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 18 Global Intelligent Automation Testing Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 19 Global Intelligent Automation Testing Market Outlook, By Small and Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 20 Global Intelligent Automation Testing Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 21 Global Intelligent Automation Testing Market Outlook, By Interface (2024-2032) ($MN)
  • Table 22 Global Intelligent Automation Testing Market Outlook, By Web Applications (2024-2032) ($MN)
  • Table 23 Global Intelligent Automation Testing Market Outlook, By Mobile Applications (2024-2032) ($MN)
  • Table 24 Global Intelligent Automation Testing Market Outlook, By Desktop Applications (2024-2032) ($MN)
  • Table 25 Global Intelligent Automation Testing Market Outlook, By Embedded Systems (2024-2032) ($MN)
  • Table 26 Global Intelligent Automation Testing Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Intelligent Automation Testing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 28 Global Intelligent Automation Testing Market Outlook, By BFSI (Banking, Financial Services, and Insurance) (2024-2032) ($MN)
  • Table 29 Global Intelligent Automation Testing Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global Intelligent Automation Testing Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 31 Global Intelligent Automation Testing Market Outlook, By Manufacturing & Industrial Automation (2024-2032) ($MN)
  • Table 32 Global Intelligent Automation Testing Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 33 Global Intelligent Automation Testing Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.