Model Based Testing Tools Market Key Players, Applications, Outlook, SWOT Analysis And Forecasts 2022 – 2032

The market for model based testing tools is expected to reach US$ 1187.2 million in 2022 and US$ 1988.2 million by 2032, growing at a CAGR of 5.3 percent over the forecast period (2022-2032).

Software testing has always been a time taking and error prone task. Many problems that test managers face are centered around finding the right people to bring efficiency and accuracy in testing procedures. One of the major contributors to the time inefficiency of testing is the procedure of creation of test scripts and test cases.

Automation of scripting and case building via model based testing tools can result in a significant enhancement in timeliness and cost effectiveness of the process by reducing the time-to-market for the software.

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Model Based testing tools can be used to solve these problems by generating test cases from pre-determined test model that allows testers to test the expected behavior of the System under test (SuT). Model based testing tools use behavior based model to generate test cases.

The model is authored from functional requirements which are derived from use cases. Model based testing tools reduce the possibility of errors from tester side and also tackle the need for knowledgeable testers by automating the scripting process.

Model Based Testing Tools Market: Drivers & Challenges 

Software implemented at different end points with advanced functionalities are getting more and more complex day by day. Manual testing procedures are getting outdated as they fail to keep up with the complex structure of dependencies in the SuT.

This is one of the primary factor driving testers to adopt model based testing tools to perform exhaustive testing while making amendments to the modules without affecting the resultant dependencies. While Model based testing tools are widely accepted as an efficient method for testing, they are also regarded as a challenging method.

Model building on Model based testing tools itself is a very complex and demanding procedure. It is extremely hard to use model based testing tools to create models that can easily adapt to changes.

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Model Based Testing Tools Market: Competitive Landscape 

  • Model Based Testing Tools Market: Key Contracts/ Agreements/ Acquisitions
  • Accenture LLP, a management consulting company, entered into partnership with Tricentis, an agile testing solution provider to integrate Tricentis’s Tosca Testsuite which uses model based testing tools into Accenture’s application testing services
  • Model Based Testing Tools Market: Key Players
  • Some of the major vendors in the Model Based Testing Tools Market include Teveron, Testing Technologies IST GmbH, Seapine Software, Inc., Canam Software Labs, Inc. SmarteSoft, Inc., PractiTest Ltd., Turbo computer systems, IBM Corporation, Logigear and Micro Focus.

Model Based Testing Tools Market Segments 

  • Model Based Testing Tools Market Dynamics
  • Historical Actual Market Size, 2012 – 2014
  • Model Based Testing Tools Market Size & Forecast 2015 to 2025
  • Supply & Demand Value Chain
  • Model Based Testing Tools Market Current Trends/Issues/Challenges
  • Competition & Companies involved
  • Technology
  • Value Chain
  • Model Based Testing Tools Market Drivers and Restraints

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Key Segments

Software Type:

  • Proprietary Mode Based Testing Tools
  • Open-source Model Based Testing Tools

Region:

  • North America
  • Latin America
  • Asia Pacific
  • Europe
  • Middle East and Africa

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https://digital-marketin.tribeplatform.com/general/post/legaltech-market-2022-recent-trends-demand-dynamic-innovation-in-kkaIdQ4dbunMH7h

https://bresdel.com/blogs/293681/LegalTech-Market-Current-and-Future-Trends-Leading-Players-Industry-Segments

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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