The Asia Pacific AI-enabled Testing Market should witness market growth of 18.8% CAGR during the forecast period (2023-2030).
The size of the market is increasing due to the growing need for effective customer services and running networks in the telecommunications sector. Artificial intelligence is a key factor in this revolution, placing the telecom sector at the center of technological innovation. Network performance is being enhanced, customer service tasks are automated, and new goods and services are being developed using AI.
Network performance optimization is one of the most significant uses of AI in the telecom sector. AI can be utilized to evaluate network sensor data to spot possible issues before they arise. This enables telecom companies to proactively correct issues and stop disruptions. The market share is further increased by the AI-enabled testing tools that support IT teams by managing and maintaining networks.
The expectations of consumers are playing a significant role in shaping the development of mobile broadband services. There will be a need for creative solutions to address the anticipated increases in traffic (expected to be 10-100 times during the period of 2020-2030), a rise in the number of services and devices, as well as the desire for improved affordability and user experience. In any case, by 2025, there will be 50 billion connected gadgets on the Internet.
Countries like China, India, and Japan have made large technological investments and embraced AI to improve software testing skills. Market expansion in this region is driven by a strong IT industry and a rising emphasis on quality control. East Asian communications service providers (CSPs) are accelerating the transition of new and discretionary spending to develop 5G connectivity and 5G as a platform. With significant information technology upgrades for various businesses, Shanghai will transform into a "globally influential digital hub" by 2035. This will be achieved through the 2035 plan along with the five-year digitalization plan of Shanghai by 2025. Similarly, with 1.17 billion users as of September 2022, India's telecom sector is the second largest in the world. India's overall teledensity is 84.86%. Thus, the region presents numerous growth opportunities for the market.
The China market dominated the Asia Pacific AI-enabled Testing Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $108,977.3 Thousands by 2030. The Japan market is registering a CAGR of 18% during (2023-2030). Additionally, The India market would showcase a CAGR of 19.5% during (2023-2030).
Based on Component, the market is segmented into Solution, and Services. Based on Technology, the market is segmented into Machine Learning & Pattern Recognition, Natural Language Processing (NLP), and Computer Vision & Image Processing. Based on Application, the market is segmented into Test Automation, Infrastructure Optimization, and Others. Based on Deployment, the market is segmented into On-premises, and Cloud. Based on End-Use, the market is segmented into IT & Telecommunication, Healthcare, Energy & Utilities, BFSI, Government, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Sauce Labs Inc., Retest (UBS Hainer GmbH), Functionize, Inc, Diffblue Ltd., Applitools (Thoma Bravo), Capgemini SE, TestRigor, Micro Focus International PLC (Open Text Corporation), Tricentis and IBM Corporation
The size of the market is increasing due to the growing need for effective customer services and running networks in the telecommunications sector. Artificial intelligence is a key factor in this revolution, placing the telecom sector at the center of technological innovation. Network performance is being enhanced, customer service tasks are automated, and new goods and services are being developed using AI.
Network performance optimization is one of the most significant uses of AI in the telecom sector. AI can be utilized to evaluate network sensor data to spot possible issues before they arise. This enables telecom companies to proactively correct issues and stop disruptions. The market share is further increased by the AI-enabled testing tools that support IT teams by managing and maintaining networks.
The expectations of consumers are playing a significant role in shaping the development of mobile broadband services. There will be a need for creative solutions to address the anticipated increases in traffic (expected to be 10-100 times during the period of 2020-2030), a rise in the number of services and devices, as well as the desire for improved affordability and user experience. In any case, by 2025, there will be 50 billion connected gadgets on the Internet.
Countries like China, India, and Japan have made large technological investments and embraced AI to improve software testing skills. Market expansion in this region is driven by a strong IT industry and a rising emphasis on quality control. East Asian communications service providers (CSPs) are accelerating the transition of new and discretionary spending to develop 5G connectivity and 5G as a platform. With significant information technology upgrades for various businesses, Shanghai will transform into a "globally influential digital hub" by 2035. This will be achieved through the 2035 plan along with the five-year digitalization plan of Shanghai by 2025. Similarly, with 1.17 billion users as of September 2022, India's telecom sector is the second largest in the world. India's overall teledensity is 84.86%. Thus, the region presents numerous growth opportunities for the market.
The China market dominated the Asia Pacific AI-enabled Testing Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $108,977.3 Thousands by 2030. The Japan market is registering a CAGR of 18% during (2023-2030). Additionally, The India market would showcase a CAGR of 19.5% during (2023-2030).
Based on Component, the market is segmented into Solution, and Services. Based on Technology, the market is segmented into Machine Learning & Pattern Recognition, Natural Language Processing (NLP), and Computer Vision & Image Processing. Based on Application, the market is segmented into Test Automation, Infrastructure Optimization, and Others. Based on Deployment, the market is segmented into On-premises, and Cloud. Based on End-Use, the market is segmented into IT & Telecommunication, Healthcare, Energy & Utilities, BFSI, Government, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Sauce Labs Inc., Retest (UBS Hainer GmbH), Functionize, Inc, Diffblue Ltd., Applitools (Thoma Bravo), Capgemini SE, TestRigor, Micro Focus International PLC (Open Text Corporation), Tricentis and IBM Corporation
Scope of the Study
By Component
- Solution
- Services
By Technology
- Machine Learning & Pattern Recognition
- Natural Language Processing (NLP)
- Computer Vision & Image Processing
By Application
- Test Automation
- Infrastructure Optimization
- Others
By Deployment
- On-premises
- Cloud
By End-user
- IT & Telecommunication
- Healthcare
- Energy & Utilities
- BFSI
- Government
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Sauce Labs Inc.
- Retest (UBS Hainer GmbH)
- Functionize, Inc
- Diffblue Ltd.
- Applitools (Thoma Bravo)
- Capgemini SE
- TestRigor
- Micro Focus International PLC (Open Text Corporation)
- Tricentis
- IBM Corporation
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market At a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific AI-enabled Testing Market by Component
Chapter 6. Asia Pacific AI-enabled Testing Market by Technology
Chapter 7. Asia Pacific AI-enabled Testing Market by Application
Chapter 8. Asia Pacific AI-enabled Testing Market by Deployment
Chapter 9. Asia Pacific AI-enabled Testing Market by End-Use
Chapter 10. Asia Pacific AI-enabled Testing Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Sauce Labs Inc.
- Retest (UBS Hainer GmbH)
- Functionize, Inc
- Diffblue Ltd.
- Applitools (Thoma Bravo)
- Capgemini SE
- TestRigor
- Micro Focus International PLC (Open Text Corporation)
- Tricentis
- IBM Corporation
Methodology
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