Market Size in 2023 | Market Forecast in 2032 | CAGR (in %) | Base Year |
---|---|---|---|
USD 437.56 Million | USD 1693.95 Million | 16.23% | 2023 |
According to the report published by Zion Market Research, the global AI-Enabled Testing Tools Market size was valued at USD 437.56 Million in 2023 and is predicted to reach USD 1693.95 Million by the end of 2032. The market is expected to grow with a CAGR of 16.23% during the forecast period. The report analyzes the global AI-Enabled Testing Tools Market's growth drivers, restraints, and impact on demand during the forecast period. It will also help navigate and explore the arising opportunities in the AI-Enabled Testing Tools industry.
The communications industry is no longer restricted to providing internet and basic cell services, and it is in the lead when it comes to technological evolution and digital transfiguration to produce a wider spectrum of services to the users. The coronavirus pandemic has boosted the undertaking of AI-enabled testing tools to assist establishments to leverage them to serve their interests. With work from home (WFH) getting accepted as the “new normal” standard amidst the pandemic, implementation of enterprise-level information and communication technology (ICT) is surging. Moreover, the telecommunication operators are storing automation advancement tools and online workable solutions to verify first-class performance and face lag with competence. As a result, the AI-enabled testing tools market will develop rapidly.
The AI-enabled testing tools market is mainly driven by the factors such as technological transformation and digital revolution in the broadcasting industry that offers a wide range of services to the customers. AI-enabled testing tools offer coherent services to the users and efficient network operations, hence propelling market expansion. The steady growth of network size, traffic, service complexity, surge in bandwidth expectations and volume, is persuading Communications Service Providers (CSPs) to create different methods for network operation and customer reassurance, thus causing substantial development of global AI-enabled testing tools market.
Pairing up these advantages with the perfect IT functions has the potential for making available a large number of services for users, and before that, for industrial applications. To achieve that potential, the network system has to be more efficient, flexible and scalable than it has been in the past. It is necessary for this system to be able to attach to numerous new devices & sensors, extend maximum services with maximum access technology, and fulfil several industry needs & demands.
Some restraints in the growth of global AI-enabled testing tools market include technical difficulties that include searching for the right experience and skills, building workable test automation environment. Moreover, ML (Machine learning) still requires plenty of training data, which transcribes into a good deal of actual human jobs, restricting the development of the market. Although these can endanger the development of the global AI-enabled testing tools market, the increasing deployment of AI test automation tools including Mabl, Applitools, Testim, ReTest, SauceLabs, and Sealights will ensure a steady growth of the market.
The global AI-enabled testing tools market has been segmented based on technology, solution, application, and region.
By solution, it is further categorized into services, which include professional services & managed services, and AI-based tools which are reduction & feature selection, data pre-processing & wrangling, data visualization, and others.
The global AI-enabled testing tools market by technology is divided into natural language processing (NLP), machine learning & pattern recognition, and computer vision and image processing.
On the basis of application, the global AI-enabled testing tools market is classified into efficiency and time-to-market, further categorized into test automation, data analytics, and infrastructure optimization, agility & coverage, which is bifurcated into test and maintenance optimization, and test and maintenance case generation, and quality and user experience (UX) which covers defect prediction and prevention, and coverage and risk analytics.
Report Attributes | Report Details |
---|---|
Report Name | AI-Enabled Testing Tools Market |
Market Size in 2023 | USD 437.56 Million |
Market Forecast in 2032 | USD 1693.95 Million |
Growth Rate | CAGR of 16.23% |
Number of Pages | 201 |
Key Companies Covered | SOFY, SeaLights, Funtionize Inc., testim, Appdiff, Sauce Labs Inc., Eggplant, testRigor, and Applitools |
Segments Covered | By technology, By solution, By application and By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
Base Year | 2023 |
Historical Year | 2018 to 2022 |
Forecast Year | 2024 - 2032 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
North America is expected to develop substantially over the forthcoming years. With 5G being preferred for partial commercial phases, numerous sensors are being used in various fields including industrial automation. The demand for serviceability and effective testing of telecommunications infrastructure will rise substantially, positively influencing the adoption of AI-enabled testing tools in this region. Several CSPs are raising funds for the development of the 5G technology and identify its remarkable enhancements in capacity, latency, connectivity, and reliability.
A related tendency can be observed in Europe as the regional regulatory systems are working toward leveraging the capacities of 5G technology to assimilate connected vehicle-to-everything (C-V2X) infrastructure. While the early implementation of C-V2X has been dependant on 4G LTE networks, the support for 5G connection options is already advancing. The quantity of 5G experiments in Europe surged in the past as the mobile operators in this region have prepared for a commercial introduction of next-generation wireless tech in every prime city that is a member of the European Union (EU). Moreover, the EU has also invested €700 million through the project Horizon to help public-private partnership on 5G. This will in turn significantly affect the growth of global AI-enabled testing tools market, pushing it toward growth.
The key operators working in the global AI-enabled testing tools market are:
These establishments are continuously increasing their expenditure in R&D activities with the aim to lead the market.
The Global AI-Enabled Testing Tools Market is segmented as follows:
By technology
By solution
By application
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