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Automation Testing Market by Component (Software and Services), Testing Type (API Testing, Security Testing, Performance Testing, Compatibility Testing, Compliance Testing, Usability Testing, and Others), Organization Size (Small & Medium-sized Enterprises and Large Enterprises), and Industry Vertical (BFSI, Automotive, Healthcare, Retail, Manufacturing, Energy & Utilities, Telecommunications & IT, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

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Oct 2020 | 26 Views
 
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Automation Testing Market Statistics

Automated testing or test automation is a sort of programming testing procedure that utilizes software tools to control execution of software applications and then compare actual test results with predicted results. In automation testing, a test engineer writes programming scripts and use appropriate software to test these application cases. Tools and strategies used in automation testing can decrease the requirement for manual involvement in repetitive processes. From a more extensive perspective, automation testing can be considered as the technique that utilizes automated applications to accelerate development of software through its complete life cycle. The primary objective of test automation is to improve efficiency of test cases and develop value of a software.

 

Automation-Testing-Market

Market scope and structure analysis:

                  Report Metric

                                                        Details

  Market size available for years

2020–2027

  Base year considered

2019

  Forecast period

2021–2027

  Forecast units

Value (USD)

  Segments covered

Component, Testing Type, Endpoint Interface, Organization Size, Industry Vertical, and Region

  Regions covered

North America (U.S. and Canada), Europe (Germany, UK, France, and Rest of Europe), Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific), Latin America (Brazil, Mexico, and Rest of LATAM) and Middle East and Africa

  Companies covered

Major players analyzed include Afour Technologies, Astegic Inc., Capgemini SE, CA Technologies, IBM Corporation, Microsoft Corporation, Micro Focus, Mobisoft Infotech LLC, Smart Bear Software, Inc., and Tricentis

 

COVID-19 Scenario Analysis: 

  • Businesses that invested in digital transformation initiatives in the past have proved to be more resilient than companies that have been reluctant in technology adoption.
  • Project-oriented services, such as custom application development, consulting, and systems integration are expected to reduce sharply in the short-term with COVID-19 outbreak.
  • Managed services, such as hosting services, application management, IT outsourcing, and network management, are expected to reduce marginally for a short-term. Further, it is expected that support services would witness a surge for alternative support extended to remote working experts.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Increase in investments in Artificial Intelligence (AI), coupled with rapid deployment of AI-powered solutions among various companies act as the major drivers for the growth of the global automation testing market. Moreover, rise in demand for AI and machine learning in quality assurance and testing among enterprises is another factor expected to drive growth of the market in the coming years. However, automation testing cannot replace all manual testing solutions, which hampers the adoption rate of automation testing solutions. Furthermore, continuous development in the IT sector with help of automation technologies is an opportunistic factor of the global automation testing market.

Rise in investments in AI

The global automation testing market is characterized on the basis of technology that include AI, IoT, and DevOps. AI is estimated to account for a major share in the automation testing market as it has the ability to learn from different user flows and create test cases based on actual user data. Thus, helping test engineers to reduce time spent on creating new test data as AI automates the test cases based on actual user data, which is a major factor for companies to opt for automation testing solutions. This helps to increase test handling cases and make the automated tests much more effective. 

Moreover, replacing static locators with dynamic locators is expected to make testing software more stable, owing to which authoring and execution of tests run at high speed. For instance, in October 2019, IBM Corporation, announced that the company has released its Auto AI. It is a new set of competences for its flagship product “Watson Studio”. These new capabilities are designed for automating several of the often complex and monotonous activities associated with governing, optimizing and designing AI in the company.  

Increase in demand for automation testing vs manual testing

Software testing is an essential part of development for a successful software project. Software testing itself consists of a huge domain in which many alternatives such as selenium and test complete exist. Software testing is classified into two categories, namely, manual and automated testing. In manual testing, a testing engineer manually executes test cases. Manual testing does not use any tools or scripts. This means that a testing engineer must prepare a dataset and scenario for generating right inputs or actions to test described scenario. Whereas, in automated testing, tools and scripts are used to prepare data and state that automatically execute desired steps required to verify the scenario in an automated way. Therefore, automation tests play important role in software development and come in handy where processes can be automated. Thus, many organizations incline towards automation testing due to its aforementioned factors.

Key segments covered:

           Segments

                                        Subsegments

  Component

  • Software
  • Services

  Testing Type

  • API Testing
  • Security Testing
  • Performance Testing
  • Compatibility Testing
  • Compliance Testing
  • Usability Testing
  • Others

  Organization Size

  • Small and Medium-sized Enterprises
  • Large Enterprises

  Industry Vertical

  • BFSI
  • Automotive
  • Healthcare
  • Retail
  • Manufacturing
  • Energy & Utilities
  • Telecommunications & IT
  • Media & Entertainment
  • Others

 

Key benefits of the report:

  • This study presents the analytical depiction of the global automation testing industry along with the current trends and future estimations to determine imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global automation testing market share.
  • The current market is quantitatively analyzed from 2020 to 2027 to highlight the global automation testing market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market. 
  • The report provides a detailed market analysis based on the present and future competitive intensity of the market.
 
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