Artificial Intelligence
Global Automation Testing Market (2021 to 2026) – Increasing Adoption of Mobile and Web-Based Applications Presents Opportunities
Dublin, Jan. 04, 2022 (GLOBE NEWSWIRE) — The “Automation Testing Market by Component (Testing Types (Static Testing and Dynamic Testing) and Services), Endpoint Interface (Mobile, Web, Desktop, and Embedded Software), Organization Size, Vertical, and Region – Global Forecast to 2026” report has been added to ResearchAndMarkets.com’s offering.
The global automation testing market is expected to grow from USD 20.7 billion in 2021 to USD 49.9 billion by 2026, at a CAGR of 19.2% during the forecast period.
By Component, the services to record a larger market share during the forecast period
In the Automation Testing Market by Component, the services segment is expected to record a larger market share during the forecast period. Services are offered under seven types: advisory and consulting, planning and development, support and maintenance, documentation and training, implementation, management, and other services. The other services consist of ROI analysis, framework, service virtualization, and assessment services. These services enhance enterprises’ SDLC. The advisory and consulting services help to enhance automated testing tools and infrastructure across the product delivery life cycle. Automation testing services are largely offered to the developers, end-users, and organizations. Managed services help enterprises to outsource the responsibility for maintaining and anticipating the need of processes and functions to improve operations and reduce expenses.
By Dynamic Testing, the functional testing segment to grow at the higher CAGR during the forecast period
In the Automation Testing market by Dynamic Testing, the functional testing segment is expected to grow at a higher CAGR during the forecast period. Functional testing is executed to check that all the software features meet the functional specifications, and it is performed by executing the functional test cases. Functional testing provides input, verifies the output, and compares the actual and expected results. The main aim of functional testing is to make sure that a system works as intended by validating the results. Functional testing is a type of black-box testing. There are mainly two techniques used to perform functionality testing, namely, based on requirements and based on business scenarios. In testing based on requirements, all the functional requirements are considered as a base for conducting the tests. Whereas in testing based on business scenario information about how the system will be perceived from a business process perspective is considered to perform the tests.
By Verticals, the BFSI segment to hold the larger market size during the forecast period
By Verticals, BFSI is expected to hold the larger market size. BFSI is the banking, financial services, and insurance sector. It represents a major portion of the world economy comprising all Banking, Insurance, and Non-Banking Financial Institutions. The latter is known as the NBFCs. The BFSI industry largely refers to financial service firms such as Broking and Asset Management. The digital transformation efforts in the vertical are particularly focused on improvising customer experience, which can be further catered through automation of QA and testing. Several organizations are experimenting with analytics, AI, and ML to optimize the automation of QA and test activities. The need to automate redundant tasks and give control to the end customers is expected to drive the market over the next few years. The major focus is on quick automation, auto decisioning, data security, instant scalability. The recent trends of Robotic Process Automation (RPA), AI, and ML, and their use in software testing drive the demand for automation testing.
By Region, Asia Pacific to grow at the highest CAGR during the forecast period
Asia Pacific is expected to grow at the highest CAGR in the global automation testing market during the forecast period. APAC is the most promising region as it has major economies, such as Australia, Japan, Singapore, China, New Zealand, and Hong Kong, which offer significant growth opportunities for automation testing vendors. This region comprises major economies like India, and China which has a very large customer base.
The governments are taking initiatives for rapid adoption of new technologies like AI and ML, automation, IoT, mobile and web-based applications, cloud-based services, and other technologies. Due to the adoption of remote work culture by organizations, there is an ever-increasing need for cloud-based solutions and IoT devices to minimize the effect of the ongoing COVID-19 pandemic, which is expected to drive the growth of the automation testing market in the region. The increasing government initiatives, growing requirements for quick computing, virtualized environments, analytics, security, digitalization, and high-volume networking, and rising overall internet speed and responsiveness are the major factors driving the automation testing market growth in this region.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Global Automation Testing Market
4.2 Market Share, by Component
4.3 Market Share, by Endpoint Interface
4.4 Market Share, by Vertical
4.5 Market Investment Scenario (2021-2026)
5 Market Overview and Industry Trends
5.1 Market Overview
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rapid Adoption for Advanced Technologies
5.2.1.2 Scalable and Adaptable Delivery Models
5.2.2 Restraints
5.2.2.1 Stringent Government Rules and Regulations
5.2.3 Opportunities
5.2.3.1 Increasing Adoption of Mobile and Web-Based Applications
5.2.4 Challenges
5.2.4.1 Data Security Concerns
5.2.4.2 Lack of Skilled Professionals
5.2.5 COVID-19 Impact on Market Dynamics
5.2.6 Cumulative Growth Analysis
5.2.6.1 Drivers and Opportunities
5.2.6.2 Restraints and Challenges
5.2.6.3 Cumulative Growth Impact
5.3 Regulatory Landscape
5.4 Use Cases
5.5 Value Chain Analysis
5.6 Ecosystem
5.7 Pricing Analysis
5.8 Technology Analysis
5.8.1 Artificial Intelligence AI)
5.8.2 Internet of Things (IoT)
5.8.3 Big Data Analytics
5.9 Patent Analysis
5.10 Trends and Disruptions Impacting Buyer’S
5.11 Porter’S Five Forces Analysis
5.11.1 Threat of New Entrants
5.11.2 Threat of Substitutes
5.11.3 Bargaining Power of Buyers
5.11.4 Bargaining Power of Suppliers
5.11.5 Competitive Rivalry
6 Automation Testing Market, by Component
6.1 Introduction
6.1.1 Component: Market Drivers
6.1.2 Component: COVID-19 Impact
6.2 Testing Type
6.3 Services
7 Automation Testing Market, by Testing Type
7.1 Introduction
7.1.1 Testing Type: Market Drivers
7.1.2 Testing Type: COVID-19 Impact
7.2 Static Testing
7.3 Dynamic Testing
8 Automation Testing Market, by Dynamic Testing
8.1 Introduction
8.1.1 Dynamic Testing: Market Drivers
8.1.2 Dynamic Testing: COVID-19 Impact
8.2 Functional Testing
8.3 Non-Functional Testing
8.4 Application Programming Interface Testing
8.5 Security Testing
8.6 Performance Testing
8.7 Compatibility Testing
8.8 Compliance Testing
8.9 Usability Testing
9 Automation Testing Market, by Service
9.1 Introduction
9.1.1 Service: Market Drivers
9.1.2 Service: COVID-19 Impact
9.2 Advisory and Consulting Services
9.3 Planning and Development Services
9.3.1 Support and Maintenance
9.3.2 Documentation and Training
9.3.3 Implementation
9.3.4 Managed Services
9.3.5 Others
10 Automation Testing Market, by Endpoint Interface
10.1 Introduction
10.1.1 Endpoint Interface: Market Drivers
10.1.2 Endpoint Interface: COVID-19 Impact
10.2 Mobile
10.3 Web
10.4 Desktop
10.5 Embedded Software
11 Automation Testing Market, by Organization Size
11.1 Introduction
11.1.1 Organization Size: Market Drivers
11.1.2 Organization Size: COVID-19 Impact
11.2 Small and Medium-Sized Enterprises
11.3 Large Enterprises
12 Automation Testing Market, by Vertical
12.1 Introduction
12.1.1 Vertical: Market Drivers
12.1.2 Vertical: COVID-19 Impact
12.2 Banking, Financial Services, and Insurance
12.3 Automotive
12.4 Defense and Aerospace
12.5 Healthcare and Lifesciences
12.6 Retail
12.7 Telecom and It
12.8 Manufacturing
12.9 Logistics and Transportation
12.10 Energy and Utilities
12.11 Media and Entertainment
12.12 Other Verticals
13 Automation Testing Market, by Region
14 Competitive Landscape
14.1 Overview
14.2 Market Structure
14.3 Historical Revenue Analysis
14.4 Market Evaluation Framework
14.5 Revenue Analysis of Leading Players
14.6 Ranking of Key Players
14.7 Company Evaluation Matrix
14.7.1 Company Evaluation Matrix Methodology and Definitions
14.7.2 Star
14.7.3 Emerging Leader
14.7.4 Pervasive
14.7.5 Participant
14.8 Product Portfolio Analysis of Major Players
14.9 Competitive Scenario
14.9.1 New Service/Product Launches
14.9.2 Deals
14.10 Startup/SME Evaluation Matrix
14.10.1 Progressive Companies
14.10.2 Responsive Companies
14.10.3 Dynamic Companies
14.10.4 Starting Blocks
15 Company Profiles
15.1 Major Players
15.1.1 IBM
15.1.2 Accenture
15.1.3 Micro FocUS
15.1.4 Capgemini
15.1.5 Microsoft
15.1.6 Broadcom
15.1.7 Tricentis
15.1.8 Smartbear
15.1.9 Parasoft
15.1.10 Cigniti Technologies
15.1.11 Keysight Technologies
15.1.12 Sauce Labs
15.2 Other Players
15.2.1 Ranorex
15.2.2 Applitools
15.2.3 Afour Technologies
15.2.4 Invensis
15.2.5 Qa Mentor
15.2.6 Testim.Io
15.2.7 Codoid
15.2.8 Mobisoft Infotech
15.2.9 Infostretch
15.2.10 Thinksys
15.2.11 Astegic
15.2.12 Cygnet Infotech
15.2.13 Qualitykiosk Technologies
15.2.14 Qasource
15.2.15 Froglogic
15.2.16 Worksoft
15.2.17 Prodperfect
16 Adjacent Markets
17 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/254hgc
Artificial Intelligence
Expanded SAS Viya uses generative AI to accelerate customer productivity
Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — So many organizations have jumped on the GenAI bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS® Viya® data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator – SAS Data Maker – and by offering industry-specific GenAI assistants.
Learn more about Viya LLM orchestration and other GenAI capabilities in this solution brief: Accelerate productivity with generative AI and SAS Viya.
“SAS’ guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey,” said Wiktor Markiewicz, Senior Market Research Analyst at IDC. “But most leaders don’t understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey.”
Georgia-Pacific and wienerberger rely on Viya for AI and GenAI capabilitiesManufacturer Georgia-Pacific is a SAS customer using Viya. “When challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem,” said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. “Streaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur.”
About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, “One of SAS’ core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific’s unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues.”
Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. “We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process,” said Florian Zittmayr, Team Lead for Data Science at wienerberger. “SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical.”
And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare “what-if” scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company’s supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS’ trustworthy, explainable analytics.
Organizations are enthusiastic about adopting and deploying GenAI, but there’s often a gap between preparedness and execution. Learn more by reading the US Executive Summary from a new study: Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
Viya stands out in the GenAI crowd because of pragmatic, industry-driven applicationsAs organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS’ GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360:
GenAI orchestration: Viya integrates external GenAI models with existing business processes and systems, orchestrating LLMs for end-to-end enterprise use cases. These capabilities are now available in SAS Viya.Viya Copilot: Enhances productivity for developers, data scientists and business users with a personal assistant that accelerates analytical, business and industry tasks. Viya Copilot offers diverse tools for tasks like code generation, data cleaning, data exploration, marketing planning, journey design and knowledge gap analysis. The first iteration of Viya Copilot is available through an invitation-only private preview.SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview.Customer engagement. SAS continues to infuse GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS Customer Intelligence 360 already offers GenAI assistance on streamlining marketing planning, journey design and content and creative development. SAS is now introducing three new capabilities in SAS Customer Intelligence 360 for marketers: using GenAI to build recommended audiences based on natural language prompts, a chat experience to interpret audience data and a GenAI suggestion service for email subject lines.The GenAI functionality of Viya makes a meaningful difference to customers planning to:
Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows, AI/ML applications and existing business processes by using decisioning flow tools like SAS Intelligent Decisioning.Protect data: Support user privacy and security with robust data quality measures, including synthetic data generation, data minimization, anonymization and encryption, so sensitive information remains safeguarded.Create trustworthy and explainable results: Data experts can apply natural language processing techniques to preprocess data and explain the generated output, minimizing hallucinations and token costs.Enhance governance: Use built-in tools to create workflows that validate the life cycle of LLMs, including model risk management.Make more precise decisions: Quantitative decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform.Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved.
Editorial Contact:Laura Fleek [email protected] 214-803-6692sas.com/news
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Artificial Intelligence
LTA’s Padel Programme Teams Up with Skylab for Enhanced Performance Analytics
MANCHESTER, England, April 17, 2024 /PRNewswire/ — Skylab, a UK-based specialist in sports technology and performance analysis, proudly announces its partnership with LTA Padel, solidifying its position as a premier provider of specialised services in the sports industry. This collaboration underscores Skylab’s commitment to excellence and showcases its ability to deliver innovative and diverse solutions tailored specifically for elite sports organisations like LTA Padel.
The LTA’s Padel performance programme in Great Britain will utilise Skylab’s Game Intelligence product and Performance Analysis services. The software will empower athletes and coaches alike with interactive and detailed match data, seamlessly integrated into intuitive dashboards that create automated video playlists. The Padel team at the LTA will gain a deeper understanding of padel at the elite level to support their talent identification, player pathway and coaching strategies as they strive to compete with the world’s best.
“Previously, Padel players lacked accurate and robust performance data, which made it impossible to analyse the opposition in detail. Coaches couldn’t answer their players’ key performance questions quickly, and performance directors had to rely on gut feeling and experience when evidencing what elite Padel looks like. However, our product and services provide practitioners with insights into the technical and tactical aspects of the game, as well as the physical demands required for elite-level performance. This allows practitioners to understand and predict the future performance of their players, enabling them to make data-informed decisions” says Ciaran Skinner, Business Development Manager, Skylab.
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport.
For more information about Skylab and its services, please visit skylab.com or contact [email protected]
Notes
Website: www.skylab.com
https://skylab.com/padel-performance-insights/
Social:
LinkedIn – Skylab: https://www.linkedin.com/company/studio-skylab
LinkedIn – Skylab: Elite Performance Analysis: www.linkedin.com/company/skylab-epa/
About Skylab
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport. Current clients include elite teams and organisations across Padel, Football, Athletics, Tennis, Rowing and more.
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Artificial Intelligence
Unisys Digital Workplace Solutions Receives HDI’s IT Support Center Recertification, Recognizing Continued Excellence in IT Support
Certification highlights the company’s ongoing optimization of IT support and recognizes Unisys as the only globally certified managed service provider
BLUE BELL, Pa., April 17, 2024 /PRNewswire/ — Unisys (NYSE: UIS) has achieved recertification through HDI’s IT Support Center Certification program, demonstrating the company’s commitment to exceeding IT support expectations and achieving biannual recertification. HDI is the leading organization dedicated to elevating technical support and service management across enterprises.
HDI’s Support Center Certification is based on an internationally recognized standard for best practices in IT support and global validation of organizations with support divisions that operate efficiently and effectively, ultimately leading to increased customer satisfaction and retention. The audit demonstrated that Unisys provides world-class desk services to its clients and that Unisys customer experience measures are significantly more advanced than those of most organizations.
“I congratulate the entire Unisys team on achieving HDI Support Center Certification for their Global Service Desk,” said Tara Gibb, senior director, HDI. “As an HDI-Certified Support Center, Unisys Global Service Desk is part of an elite circle of support centers dedicated to quality operations, continuous improvement, strategic vision, a positive work environment and high levels of customer service.”
This assessment of Unisys reflects a 15% increase in overall performance and significant strides since the last certification audit in 2021. Key strengths highlighted in the recertification report include adding the Experience Management Office into the overall delivery model, implementing 14 Experience Level Agreements (XLA) in the production environment and focusing on proactive business development predictive experiences. Unisys received high marks for overall leadership, strategy and policy, and people management.
“The recertification represents the continuous work of our team to optimize IT support operations, progress the maturity of our advanced Global Service Desk capability and maintain our commitment to helping our clients achieve breakthroughs with superior IT support,” said Patrycja Sobera, global vice president, Digital Workplace Solutions Delivery, Unisys.
Patrycja Sobera has also been highlighted as one of HDI’s Top 25 Thought Leaders for 2024, and Unisys has been named a finalist in four key categories of the 2024 HDI Global Service and Support Awards:
Best Service and Support ManagerBest Service Improvement InitiativeBest Customer ExperienceBest Use of TechnologyThe HDI Global Service and Support Awards 2024 winners will be revealed at HDI SupportWorld Live in May 2024. In 2023, Unisys was named the winner in the Best Culture and Best Support Organization categories.
To learn more about the company’s global service desk offerings, click here.
About Unisys
Unisys is a global technology solutions company that powers breakthroughs for the world’s leading organizations. Our solutions – cloud, data and AI, digital workplace, logistics and enterprise computing – help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what’s possible for 150 years, visit unisys.com and follow us on LinkedIn.
RELEASE NO.: 0417/9944Unisys and other Unisys products and services mentioned herein, as well as their respective logos, are trademarks or registered trademarks of Unisys Corporation. Any other brand or product referenced herein is acknowledged to be a trademark or registered trademark of its respective holder.UIS-C
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