AI-Enabled Testing Tools Market Forecast, Trend Analysis & Opportunity Assessment 2020-2030

Report Highlights

A recent market study published by Future Market Insights on the AI-enabled Testing Tools Market includes a global Application analysis for 2015-2019 and opportunity assessment for 2020-2030, and delivers a comprehensive assessment of the most important market dynamics. After conducting a thorough research on the historical as well as current growth parameters, growth prospects of the market are obtained with maximum precision.

AI-enabled Testing Tools Market: Segmentation

The global AI-enabled Testing Tools Market is segmented in detail to cover every aspect of the market and present a complete market intelligence approach to readers.

Solution

• AI-based Tools
• Data Wrangling and Pre-processing
• Data Visualization
• Feature Selection and Reduction
• Others

Services

• Professional Services
• Managed Services

Technology

• Machine Learning and Pattern Recognition
• Natural Language Processing (NLP)
• Computer Vision and Image Processing

Application

• Agility and Coverage
• Test and Maintenance Case Generation
• Test and Maintenance Optimization
• Quality and User Experience (UX)
• Coverage and Risk Analytics
• Defect Prediction and Prevention
• Efficiency and Time-to-Market
• Test Automation
• Infrastructure Optimization
• Data Analytics

Region

• North America
• Latin America
• Europe
• South Asia
• East Asia
• Oceania
• Middle East & Africa

Report Chapters

Chapter 01 – Executive Summary

The report begins with the executive summary of the AI-enabled Testing Tools Market, which includes a summary of key findings and statistics of the market. It also includes analysis on levels of increasing automation and regional markets. The section concludes with demand and supply side trends in the global AI-enabled Testing Tools Market.

Chapter 02 – Market Overview

Readers can find the definition and detailed taxonomy of the AI-enabled Testing Tools Market in this chapter, which will help them understand the basic information about the market. This section also highlights the inclusions and exclusions, which help readers understand the scope of the AI-enabled Testing Tools Market report.

Chapter 03 – Key Success Factors

This section provides a brief analysis on the prevailing trends in global market with a special focus on auto market, technology, cost and regulations. This section also offers a brief analysis on key trends and implications across value chain.

Chapter 04 – Applications of AI-enabled Maintenance and Testing Tools in Telecom

This section provides qualitative analysis on the applications of AI-enabled maintenance and testing tools in telecom sectors with a special focus on safety, efficiency, and payment and information.

Chapter 05 – COVID-19 Pandemic Crisis Impact Analysis

This chapter offers business impact of COVID-19 on adoption of AI-enabled maintenance and testing tools in telecom solutions based on the Year-on-Year (Y-o-Y) market value growth rate. This section also highlights pre-COVID and post-COVID market growth analysis, followed by the key strategies incorporated by market players during the ongoing pandemic.

Chapter 06 – Market Structure Analysis

In this chapter, readers can find detailed information about the market share analysis of key players and HHI analysis on the concentration in the global AI-enabled Testing Tools Market. The section also highlights analysis on market shares captured by market leaders, emerging players and promising players.

Chapter 07 – Market Background

This chapter explains the key macroeconomic factors that are expected to influence growth of the AI-enabled Testing Tools Market during the forecast period. Moreover, in-depth information about the market dynamics and their impact on the market have been provided in this section. Value chain analysis concludes this section.

Chapter 08 – Global AI-enabled Testing Tools Market Size (in US$ Mn) Analysis and Forecast 2020-2030

This section explains the global market value analysis and forecast for the AI-enabled Testing Tools Market during the forecast period. It includes analysis on AI-enabled Testing Tools Market, and data for the forecast period of 2020 to 2030.

Chapter 09 – Global AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030 by Solution

By solution, the global AI-enabled Testing Tools Market is segmented into AI-based tools and services. AI-based tools are further segmented into data wrangling and pre-processing tools, data visualization tools, and feature selection and reduction tools, among others. Services marketed for AI-enabled maintenance and testing tools in telecom industry are further segregated into professional services and managed services. In this chapter, readers can find analysis based on market value shares, market value Y-o-Y growth rates and market value attractiveness analysis by solution. Readers can also find market values based on solution for the period of 2015 – 2030.

Chapter 10 – Global AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030 by Technology

With respect to technology, the global AI-enabled Testing Tools Market is segregated into machine learning and pattern recognition, Natural Language Processing (NLP), and computer vision and image processing. In this chapter, readers can find analysis based on market value shares, market value Y-o-Y growth rates and market value attractiveness analysis by technology. Readers can also find market values based on technology for the period of 2015 – 2030.

Chapter 11 – Global AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030 by Application

By technology, the global AI-enabled Testing Tools Market is segmented into agility and coverage, quality and User Experience (UX), and efficiency and time-to-market. Agility and coverage applications are further segmented into test and maintenance case generation, and test and maintenance optimization. Quality and UX applications are further segregated into coverage and risk analytics, and defect prediction and prevention. Efficiency and time-to-market applications of AI-enabled maintenance and testing tools in telecom industry are further segmented into test automation, infrastructure optimization and data analytics. In this chapter, readers can find analysis based on market value shares, market value Y-o-Y growth rates and market value attractiveness analysis by application. Readers can also find market values based on application for the period of 2015 – 2030.

Chapter 12 – Global AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030 by Region

This chapter explains how the AI-enabled Testing Tools Market is anticipated to grow across various geographic regions such as North America, Latin America, Europe, East Asia, Southeast Asia and Pacific, and Middle East and Africa. In this chapter, readers can find analysis based on market value shares, market value Y-o-Y growth rates and market value attractiveness analysis by region. Readers can also find market values based on region for the period of 2015 – 2030.

Chapter 13 – North America AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

This chapter includes a detailed analysis on the growth of the North America AI-enabled Testing Tools Market, along with a country-wise assessment that includes the U.S. and Canada.

Chapter 14 – Latin America AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

This chapter includes a detailed analysis on the growth of the Latin America AI-enabled Testing Tools Market, along with a country-wise assessment that includes the Brazil, Mexico, and the rest of Latin America.

Chapter 15 – Europe AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

Important growth prospects of the AI-enabled Testing Tools Market in Germany, Italy, France, Spain, U.K., BENELUX, Russia, and the rest of Europe are included in this chapter.

Chapter 16 – East Asia AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

This chapter provides the growth scenario of the East Asian AI-enabled Testing Tools Market constituted by China, Japan and South Korea.

Chapter 17 – Southeast Asia and Pacific AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

This chapter provides the growth scenario of the Southeast Asia and Pacific AI-enabled Testing Tools Market constituted by India, ASEAN, Oceania, and the rest of Southeast Asia and Pacific.

Chapter 18 – Middle East and Africa AI-enabled Testing Tools Market Analysis and Opportunity Assessment 2020-2030

This chapter highlights analysis on the adoption of AI-enabled maintenance and testing tools in telecom in countries like GCC countries, Northern Africa, South Africa, Turkey, Israel, and the rest of Middle East and Africa.