市場調查報告書
商品編碼
1284082
到2028年的自動化測試市場預測—按測試類型、服務、組織規模、端點接口、行業和地區進行的全球分析Automation Testing Market Forecasts to 2028 - Global Analysis By Testing Type, Service, Organization Size, Endpoint Interface, Vertical and By Geography |
根據Stratistics MRC,2022年全球自動化測試市場規模將達到247億美元,預計2028年將達到680億美元,預測期內預計將以 18.4% 的 CAGR 增長。
自動化測試是一種進行測試並將實際結果與預期結果進行比較的技術。 自動化測試用於自動化難以手動執行的重複測試過程。 自動化測試市場規模是由不同最終用戶部門(如 IT 和電信、BFSI、醫療保健、零售、能源和電力)採用不同的測試解決方案和服務所驅動的。
根據消費者技術協會 (CTA) 的數據,大多數美國家庭 (69%) 現在至少擁有一個智能家居設備。 這相當於 8300 萬戶家庭,其中 2200 萬戶家庭中有 18% 擁有多個智能家居設備。
測試是軟件開發生命週期 (SDLC) 過程中必不可少的一步。 按需測試資源需要動態交付。 自動化測試平台已被證明是數據管理和時間管理的有效解決方案。 自動化測試具有存儲功能,可以根據消費者的需求和要求進行擴展或縮小。 隨著客戶需求和人口統計數據的變化,自動化測試平台的多功能性具有極高的可擴展性,可以根據需要進行收縮和擴展。 自動化測試可實現軟件服務的可擴展性和擴展性,從而推動市場增長。
自動化需要在設備、人力資源和基礎設施方面進行大量初始投資。 除了運營成本外,還可能需要支付許可費。 此外,即使是像Selenium這樣的開源技術,也需要考慮人力資源開發和網格建設的成本。 在絕大多數敏捷場景中,自動化回歸測試是必需的並且是有益的。 現實情況是,測試自動化的早期階段通常很昂貴。 分析、設計和構建測試自動化框架、庫、可重用功能等都是必需的。 在某些情況下,您可能需要考慮許可費用、加急費用以及與硬件和軟件相關的運營成本。
手機和互聯網已經成為我們日常生活中不可或缺的一部分。 軟件應用行業是移動和數字行業中增長最快的行業之一。 智能手機的使用、基於網路的應用程序的豐富、數據費用的下降以及消費者消費意願的增加都促進了市場的增長。 此外,與其他應用程序相比,移動應用程序的開發階段和生命週期更短。 因此,移動應用程序的自動化測試在移動應用程序生命週期的演變中起著重要作用。 通過自動化移動應用程序測試,公司可以提高測試效率、改進回歸測試用例並節省時間。
由於缺乏稱職的數字化測試人員,尤其是在敏捷開發生命週期中,對規範、交付頻率和總體客戶滿意度的持續監控都受到了阻礙。 敏捷開發需要技術知識,因為測試人員與團隊和自動化工具有很多對話。 此外,缺乏測試環境和測試數據專家。
當 COVID-19 來襲時,公司專注於自動化 IT 任務以從災難中恢復。 企業將在認知技能、人工智能和機器人流程自動化 (RPA) 方面投入更多資金,以從 COVID-19 中恢復過來。 流行病使董事會必須進行自動化和測試。 隨著組織的發展,業務連續性計劃和風險也在增長。 由於自動化測試比其他類型的測試具有時間和質量優勢,因此預計這種趨勢將繼續下去。
由於以下原因,實施部分預計會有良好的增長。 大部分市場被實施部門佔據。 實施服務可以輕鬆地將自動化集成到您現有的軟件測試基礎架構中。 借助實施服務,可以輕鬆地將自動化整合到您現有的軟件自動化測試基礎設施中。 因此,有效部署需要將自動分析解決方案鏈接到各種硬件組件以分析整個系統的行為。
隨著 BFSI 行業數字化的廣泛採用,對進行自動化測試的應用程序產生了巨大需求,銀行部門預計在預測期內將以最快的複合年增長率增長。 BFSI 行業由管理關鍵任務活動的高級統一應用程序和遺留系統定義。 這些應用程序不斷變化以滿足新數字世界的需求。 然而,由於電子商務的日益普及,預計零售業將以最快的速度發展。
北美預計在預測期內佔據最高的市場份額,因為它在自動化測試業務中佔據主導地位。 該領域的市場驅動力是技術供應商的廣泛存在。 這些公司優先考慮併購、夥伴關係和協作,以及創造創造性的解決方案,以保持其區域和全球競爭力。 此外,該地區的業務受到廣泛分佈的技術提供商的推動。 在美國,智能電視、消費電子產品和筆記本電腦等創新消費電子產品越來越受歡迎,並推動了市場需求。
由於軟件、在線應用程序和操作系統 (OS) 與智能消費設備有著千絲萬縷的聯繫,亞太地區預計在預測期內的複合年增長率最高。 隨著此類智能消費設備的激增,該地區對測試自動化服務的需求有望增加。 此外,該地區政府正在啟動項目以加速新技術的使用,例如人工智能和機器學習、自動化、物聯網、移動和基於網絡的應用程序以及基於雲的服務的進步。
2023 年 4 月,Microsoft 和 Epic 將通過集成 Azure OpenAI 服務擴大戰略合作。
2023 年 3 月,埃森哲和 Cervest 將合作為尋求應對氣候風險上升的韌性的客戶提供創新解決方案。
2023 年 3 月,Salesforce 和 Accenture 將合作幫助客戶利用生成式 AI 的變革力量。 兩家公司將共同建立一個生成式人工智能中心,為企業提供擴展 Einstein GPT(Salesforce 生成式人工智能)所需的技術和體驗,以用於 CRM、提高員工生產力並改變客戶體驗。這旨在提供幫助。
According to Stratistics MRC, the Global Automation Testing Market is accounted for $24.7 billion in 2022 and is expected to reach $68.0 billion by 2028 growing at a CAGR of 18.4% during the forecast period. Automation testing is a technique for testing and comparing actual results to predicted results. Automation testing is used to automate repetitive testing procedures that are difficult to do manually. The automation testing market scope follows the adoption of various testing solutions and services by various end-user sectors such as IT & telecommunication, BFSI, healthcare, retail, energy & power.
According to Consumer Technology Association (CTA), the majority (69%) of U.S. households currently own at least one smart home gadget. It corresponds to 83 million households, with 18%, or 22 million houses, owning more than one smart home gadget.
Testing is an essential step in the Software Development Life Cycle (SDLC) process. On-demand testing resources necessitate dynamic distribution. The automation testing platform has shown to be an effective solution for data management and time management. Automation testing has a storage capability that may be scaled up or down based on the consumer's demands and requirements. The automated testing platform's versatility is extremely scalable due to changes in client demand and demography, and it may be contracted or extended as needed. Automation testing enables scalability and the extension of software services thereby propelling the growth of the market.
Automation necessitates a substantial initial investment in terms of equipment, human capital, infrastructure, and so on. Licence fees, in some situations, must be paid in addition to operational expenditures. Furthermore, even with open-source technologies like Selenium, the cost of training personnel and constructing the grid must be considered. Automated regression testing is needed and beneficial in the majority of agile scenarios. In reality, the early phases of test automation are typically expensive. Analysing, designing, and building a test automation framework, libraries, reusable functions, and so on are all required. In some cases, licencing fees, facilitating spending and operational costs such as those related with hardware and software must be considered.
Cell phones and the internet are become indispensable aspects of daily life. The software application industry is one of the fastest expanding segments of the mobile and digital industries. Smartphone accessibility, the abundance of web-based apps, the drop in data prices, and rising consumer spending power all contribute to the market's growth. Furthermore, as compared to other apps, mobile applications have a shorter development phase and life cycle. As a result, automated testing on mobile applications plays an important role in the development of mobile app life cycles. By automating mobile application testing, businesses may increase testing productivity, improve regression test cases, and save time.
Because of a scarcity of competent digitization testers, particularly in the agile development life cycle, continued monitoring of specifics, delivery frequency, and overall customer satisfaction are all hampered. In agile development, testers are required to be technically knowledgeable in order to engage in a variety of conversations with teams and automation tools. Furthermore, test environments and test data professionals are in short supply.
Companies focused on automating IT tasks during the COVID-19 outbreak in order to recover from the catastrophe. Firms will spend more in cognitive skills, artificial intelligence, and robotic process automation (RPA) as they recover from COVID-19. The epidemic has made automation and testing mandatory in the boardroom. As organisations grow, so do their business continuity plans and hazards. This trend is predicted to continue as automated testing provides a time and quality advantage over other types of testing.
The implementation segment is estimated to have a lucrative growth, due to A large percentage of the market is accounted for by the implementation sector. Automation may be more easily integrated into an existing software testing infrastructure with the help of implementation services. With the assistance of implementation services, automation may be readily incorporated into an existing software automation testing infrastructure. As a result, linking automated analytic solutions to various hardware components and analysing the whole system's operation is required for effective deployment.
The banking segment is anticipated to witness the fastest CAGR growth during the forecast period, due to the widespread implementation of digitalization in the BFSI industry is creating a substantial need for applications that undergo automation testing. The BFSI industry has been defined by sophisticated, unified applications and legacy systems that govern and manage mission-critical activities. These apps are continually changing to suit the demands of the new digital world. However, due to the rising presence of e-commerce, the retail sector is predicted to develop at the quickest rate.
North America is projected to hold the highest market share during the forecast period owing to North America will dominate the automated testing business. The predominant driver of the market in this sector is the extensive presence of technology providers. To maintain regional and worldwide competitiveness, these companies prioritise merger and acquisition activity, partnerships and collaborations, and the creation of creative solutions. Furthermore, the region's business is being driven by the extensive dispersion of technology suppliers. Innovative consumer electronics such as smart TVs, home appliances, and laptops are gaining popularity in the United States and driving market demand.
Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the software, online applications, and operating systems (OS) are inextricably interwoven with intelligent consumer devices. As these intelligent consumer devices become more widely adopted, the region's demand for test automation services will rise. Furthermore, governments across the area are launching projects to accelerate the use of new technologies like as artificial intelligence and machine learning, automation, the Internet of Things, mobile and web-based apps, cloud-based services, and other advances.
Some of the key players profiled in the Automation Testing Market include Accenture, Applitools, Broadcom, Cigniti Technologies, Cygnet Infotech, Microsoft, Mobisoft Infotech, Micro Focus, Parasoft, Capgemini, AFour Technologies, IBM Corporation, Tricentis USA Corp, SmartBear Software Inc., Keysight Technologies Inc, Invensis Technologies Pvt Ltd and Sauce Labs Inc.
In April 2023, Microsoft and Epic expand strategic collaboration with integration of Azure OpenAI Service, the collaboration expands the long-standing partnership, which includes enabling organizations to run Epic environments on the Microsoft Azure cloud platform.
In March 2023, Accenture and Cervest Collaborate to Bring Innovative Solutions to Clients Seeking Resilience Amid Increased Climate Risk, that will expand Accenture's capabilities to deliver on-demand access to historical, current and predictive views of combined climate risks to assess and address asset and portfolio vulnerabilities for clients across industries.
In March 2023, Salesforce and Accenture Collaborate to Help Customers Harness the Transformative Power of Generative AI, together, the companies intend to establish a hub for generative AI that provides organizations with the technology and experience they need to scale Einstein GPT-Salesforce's generative AI for CRM-helping to increase employee productivity and transform customer experiences.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.