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Global Education and Learning Analytics Market (2022 to 2027) – Industry Trends, Share, Size, Growth, Opportunity and Forecasts

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Dublin, June 30, 2022 (GLOBE NEWSWIRE) — The “Education and Learning Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027” report has been added to ResearchAndMarkets.com’s offering.

The global education and learning analytics market reached a value of US$ 25.8 Billion in 2021. Looking forward, the publisher expects the market to reach US$ 67.1 Billion by 2027, exhibiting a CAGR of 17.27% during 2021-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

Education and learning analytics refers to the measurement, collection, analysis and reporting of data about learners for optimizing their education experience. It is a combination of educational research, assessment sciences, statistics, visualization, data sciences, artificial intelligence (AI) and sociotechnical system thinking for human-centered design.

These tools are used for designing curriculum for the students and are also utilized by corporate organizations for developing strategies for personnel acquisition, retention, training, intervention and the management of performance and operations.

Industry Trends and Drivers:

Significant growth in the education industry and the increasing adoption of machine learning (ML) systems are among the key factors creating a positive outlook for the market. In line with this, the widespread utilization of various software-based systems, such as virtual learning environment (VLE), learning management system (LMS), student information system and library management systems, are also driving the market growth.

The proliferation of e-learning technologies, such as mobile learning devices, student information systems, lecture capturing and learning management tools, have enabled the learners to obtain more valuable insights from the conventional education systems and enhance their productivity.

Various technological advancements, such as the development of digital platforms for schools and university campuses to consolidate student data and analyze their performance, are also contributing to the market growth. Other factors, including the increasing awareness regarding the utilization of education and learning analytics for developing efficient learning and training programs for school/college students and working professionals, are expected to drive the market further.

Competitive Landscape:

The report has also analysed the competitive landscape of the market with some of the key players being Alteryx Inc., Blackboard Inc., G-Cube, Inetsoft Technology Corp., Information Builders Inc., iSpring Solutions Inc., MicroStrategy Incorporated, Saba Software Inc. (Cornerstone OnDemand Inc.), SAP SE, SAS Institute Inc. and Yellowfin Business Intelligence Co.

Key Questions Answered in This Report:

  • How has the global education and learning analytics market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global education and learning analytics market?
  • What are the key regional markets?
  • What is the breakup of the market based on the analytics type?
  • What is the breakup of the market based on the application?
  • What is the breakup of the market based on the component?
  • What is the breakup of the market based on the deployment mode?
  • What is the breakup of the market based on the end user?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global education and learning analytics market and who are the key players?
  • What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction
4.1 Overview
4.2 Key Industry Trends

5 Global Education and Learning Analytics Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Analytics Type
6.1 Descriptive
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Predictive
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Prescriptive
6.3.1 Market Trends
6.3.2 Market Forecast

7 Market Breakup by Application
7.1 People Acquisition and Retention
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Curriculum Development and Intervention Management
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Performance Management
7.3.1 Market Trends
7.3.2 Market Forecast
7.4 Budget and Finance Management
7.4.1 Market Trends
7.4.2 Market Forecast
7.5 Operations Management
7.5.1 Market Trends
7.5.2 Market Forecast
7.6 Others
7.6.1 Market Trends
7.6.2 Market Forecast

8 Market Breakup by Component
8.1 Software
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Services
8.2.1 Market Trends
8.2.2 Market Forecast

9 Market Breakup by Deployment Mode
9.1 On-premises
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Cloud-based
9.2.1 Market Trends
9.2.2 Market Forecast

10 Market Breakup by End User
10.1 Academic Institutions
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Enterprises
10.2.1 Market Trends
10.2.2 Market Forecast

11 Market Breakup by Region

12 SWOT Analysis

13 Value Chain Analysis

14 Porters Five Forces Analysis

15 Price Analysis

16 Competitive Landscape
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 Alteryx Inc.
16.3.1.1 Company Overview
16.3.1.2 Product Portfolio
16.3.1.3 Financials
16.3.2 Blackboard Inc.
16.3.2.1 Company Overview
16.3.2.2 Product Portfolio
16.3.2.3 SWOT Analysis
16.3.3 G-Cube
16.3.3.1 Company Overview
16.3.3.2 Product Portfolio
16.3.4 Inetsoft Technology Corp.
16.3.4.1 Company Overview
16.3.4.2 Product Portfolio
16.3.5 Information Builders Inc.
16.3.5.1 Company Overview
16.3.5.2 Product Portfolio
16.3.6 iSpring Solutions Inc.
16.3.6.1 Company Overview
16.3.6.2 Product Portfolio
16.3.7 MicroStrategy Incorporated
16.3.7.1 Company Overview
16.3.7.2 Product Portfolio
16.3.7.3 Financials
16.3.7.4 SWOT Analysis
16.3.8 Saba Software Inc. (Cornerstone OnDemand Inc.)
16.3.8.1 Company Overview
16.3.8.2 Product Portfolio
16.3.8.3 SWOT Analysis
16.3.9 SAP SE
16.3.9.1 Company Overview
16.3.9.2 Product Portfolio
16.3.9.3 Financials
16.3.9.4 SWOT Analysis
16.3.10 SAS Institute Inc.
16.3.10.1 Company Overview
16.3.10.2 Product Portfolio
16.3.10.3 SWOT Analysis
16.3.11 Yellowfin Business Intelligence Co.
16.3.11.1 Company Overview
16.3.11.2 Product Portfolio

For more information about this report visit https://www.researchandmarkets.com/r/z0cowz

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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected] 
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

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Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai. 
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Artificial Intelligence

Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

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Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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