Artificial Intelligence
Outlook on the Adaptive Learning Global Market to 2025 – by Application, Component, Deployment Mode, End-user, Model and Geography
Dublin, Feb. 01, 2021 (GLOBE NEWSWIRE) — The “Global Adaptive Learning Market (2020-2025) by Application, Component, Deployment Mode, End User, Model, and, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis” report has been added to ResearchAndMarkets.com’s offering.
The Global Adaptive Learning Market is estimated to be USD 2 Bn in 2020 and is expected to reach USD 4.98 Bn by 2025, growing at a CAGR of 20%.
Significant factors driving the growth of the adaptive learning market include the rising demand for advanced and innovative eLearning software & solutions, demand for personalized learning, and government initiatives for adaptive learning solutions. An adaptive learning tool uses advanced technologies like Artificial Intelligence(AI), Virtual Reality (VR), and Augmented Reality (AR), etc. which enhance the capabilities of the software and make it more easily understandable by the students, thus generating interest in learning. This will help in driving the growth of the market. The shutdown of schools and educational institutes during the Covid-19 pandemic has also boosted the market as it creates demand for more innovative educational models, especially Adaptive learning solutions.
However, low-end user motivation and engagement to adopt adaptive learning solutions is likely to hamper the market. Complexities associated with the software like a time consuming and high cost associated with the software may hamper the growth of the Global Adaptive Learning Market.
Market Dynamics
Drivers
- Rising Demand for Personalized Learning
- Need for Advanced and Innovative E-Learning Software
- Government Initiatives for Adaptive Learning Solutions
Restraints
- Low-End User Motivation and Engagement to Adopt Adaptive Learning Solutions
- Complexities Associated with The Software like Time-Consuming and High Cost
Opportunities
- Increasing Demand for Gamification in Adaptive Learning to Provide Opportunities for Adaptive Learning Vendors
- Boosting The Use of Blended Learning Technology
- Growing Use of Cloud Computing Among Organizations and Educational Institutes to Motivate Learners to Adopt Web-Based Adaptive
Challenges
- Lack of Skilled Trainers and Instructors
- High Cost of Producing Elearning Content
Segments Covered
By Application, the Education Institution segment is expected to have the highest market share during the forecast period. The education industry is rapidly growing with the adoption of digital learning. Most of the educational institutes are widely focusing on the implementation of the e-Education methods with the help of effective adaptive learning solutions. This solution saves time, cost, and effort, thus helping drive the growth of the segment. Adaptive learning solutions also encourage interactions between tutors and learners and increase the levels of satisfaction and course-completion rates. Continuous improvements in the network infrastructure and the growing awareness of the Learning Management System (LMS) also boost the market growth. Also, the impact of Covid-19 had led to the growing demand for online education, which results in boosting the growth of this segment.
By Component, the Platform segment is projected to witness the larger market share in the Global Adaptive Learning Market during the forecast period. The number of platform providers has increased significantly in the past few years, owing to the low entry cost in the adaptive learning market. The platform also supports the management of a huge pool of information and provides a dynamic learning environment, thus propelling the growth of the segment.
By Deployment Mode, the Cloud segment is accounted for the highest CAGR during the forecast period. Cloud is a common technological pool where the educational institutions and companies can store their data according to their needs. It helps make the academic process more efficient and improves institutional productivity, reduces expenses, back up the data, and improves accountability. All these factors help in boosting the cloud segment in the Global Adaptive Learning Market.
By End User, the Academic segment is expected to hold a higher market share during the forecast period. Academic institutions are highly adopting online teaching methods by sharing data, video, and voice call over adaptive learning platforms, especially during the Covid-19 pandemic, which results in the complete shutdown of all the schools and colleges drive the growth of the segment. The Academic segment is further segmented into K-12 and higher education. Out of which, the higher education segment is expected to grow at a higher CAGR due to the use of digitalized systems adopted by higher education institutes for quite a few years, thus fuelling adaptive learning solutions.
By Model, the Gamification segment is projected to witness a higher CAGR during the forecast period than other models. There are various teaching techniques available in the market, and every teaching software uses video, voice, or text, or a combination of all the elements to educate individuals. The various vendor has used the Gamification model to test the individual’s aptitude in Adaptive Learning technology. It provides the ease-of-use, convenience, the ability to re-watch old content, etc., thus, driving the growth of the segment.
By Geography, North America is projected to witness a higher market share during the forecast period due to increasing technological advancements in adaptive learning solutions across the major verticals. Various collaborations between the government and network arenas and partnerships between digital education vendors and research specialists drive the market growth of the segment. The US and Canada are expected to have the highest adoption rates due to the increasing adoption of eLearning methods. APAC countries are also focusing more on initiatives to upsurge Information Technology (IT) infrastructure, thus driving the growth of the Adaptive Learning Market.
The Global Adaptive Learning Market is segmented Based on application, the Component, Deployment Mode, End User, Model, and, Geography.
Global Adaptive Learning Market, By Application
- Introduction
- EdTech Companies
- Educational Institutions
- Corporate Sectors
Global Adaptive Learning Market, By Component
- Introduction
- Platform
- Services
- Professional Services
- Consulting
- Implementation
- Support and Maintenance
- Managed Services
Global Adaptive Learning Market, By Deployment Mode
- Introduction
- On-premises
- Cloud
Global Adaptive Learning Market, By End User
- Introduction
- Academic
- K-12
- Higher Education
- Enterprises
- Small and Medium-Sized Enterprises
- Large Enterprises
Global Adaptive Learning Market, By Model
- Introduction
- Gamification
- Big Data
- Virtual Learning Model
- Others
Global Adaptive Learning Market, By Geography
- Introduction
- North America
- South America
- Europe
- Asia-Pacific
- The Middle East and Africa
Company Profiles
Some of the companies covered in this report are McGraw-Hill, Pearson, Curriculum Associates, Istation, John Wiley & Sons, ScootPad Corporation, CogBooks, VitalSource, DreamBox Learning, Mathspace, Fulcrum Labs, Knowre, Follett, Realizeit, K12, Houghton Mifflin Harcourt, Impelsys, Imagine Learning, Area9 Lyceum, Cerego and D2L Corporation.
Competitive Quadrant
The report includes Competitive Quadrant, a proprietary tool to analyse and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Why buy this report?
- The report offers a comprehensive evaluation of the Global Adaptive Learning Market.
- The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes in-depth market analysis using Porter’s 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
- The report also contains a competitive analysis using Competitive Quadrant, a Proprietary competitive positioning tool.
Report Highlights:
- A complete analysis of the market including parent industry
- Important market dynamics and trends
- Market segmentation
- Historical, current, and projected size of the market based on value and volume
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Key Topics Covered:
1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Shareholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.3 Market Size Estimation
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
4 Market Overview
4.1 Introduction
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Challenges
4.3 Trends
5 Market Analysis
5.1 Porter’s Five Forces Analysis
5.2 Impact of COVID-19
5.3 Ansoff Matrix Analysis
6 Global Adaptive Learning Market, By Application
6.1 Introduction
6.2 EdTech Companies
6.3 Educational Institutions
6.4 Corporate Sectors
7 Global Adaptive Learning Market, By Component
7.1 Introduction
7.2 Platform
7.3 Services
7.3.1 Professional Services
7.3.1.1 Consulting
7.3.1.2 Implementation
7.3.1.3 Support and Maintenance
7.3.2 Managed Services
8 Global Adaptive Learning Market, By Deployment Mode
8.1 Introduction
8.2 On-premises
8.3 Cloud
9 Global Adaptive Learning Market, By End User
9.1 Introduction
9.2 Academic
9.2.1 K – 12
9.2.2 Higher Education
9.3 Enterprises
9.3.1 Small and Medium-Sized Enterprises
9.3.2 Large Enterprises
10 Global Adaptive Learning Market, By Model
10.1 Introduction
10.2 Gamification
10.3 Big Data
10.4 Virtual Learning Model
10.5 Others
11 Global Adaptive Learning Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 South America
11.3.1 Brazil
11.3.2 Argentina
11.4 Europe
11.4.1 UK
11.4.2 France
11.4.3 Germany
11.4.4 Italy
11.4.5 Spain
11.4.6 Rest of Europe
11.5 Asia-Pacific
11.5.1 China
11.5.2 Japan
11.5.3 India
11.5.4 Indonesia
11.5.5 Malaysia
11.5.6 South Korea
11.5.7 Australia
11.5.8 Russia
11.5.9 Rest of APAC
11.6 Rest of the World
11.6.1 Qatar
11.6.2 Saudi Arabia
11.6.3 South Africa
11.6.4 United Arab Emirates
11.6.5 Latin America
12 Competitive Landscape
12.1 IGR Competitive Quadrant
12.2 Market Share Analysis
12.3 Competitive Scenario
12.3.1 Mergers & Acquisitions
12.3.2 Agreements, Collaborations, & Partnerships
12.3.3 New Product Launches & Enhancements
12.3.4 Investments & Fundings
13 Company Profiles
13.1 McGraw-Hill
13.2 Pearson
13.3 Curriculum Associates
13.4 Istation
13.5 John Wiley & Sons
13.6 ScootPad Corporation
13.7 CogBooks
13.8 VitalSource
13.9 DreamBox Learning
13.10 Mathspace
13.11 Fulcrum Labs
13.12 Knowre
13.13 Follett
13.14 Realizeit
13.15 K12
13.16 Houghton Mifflin Harcourt
13.17 Impelsys
13.18 Imagine Learning
13.19 Area9 Lyceum
13.20 Cerego
13.21 D2L Corporation
14 Appendix
14.1 Questionnaire
For more information about this report visit https://www.researchandmarkets.com/r/c8m3x5
CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Artificial Intelligence
First Comprehensive Report on Public Web Data Released by Bright Data
Reveals necessity in every industry
NEW YORK, April 23, 2024 /PRNewswire/ — Released today, The State of Public Web Data Report 2024, details a comprehensive analysis on how organizations leverage public web data to drive innovation, enhance customer experience, and develop AI models.
Bright Data commissioned an independent third-party to carry out the first survey of this kind which details the emergence of public web data as the most valued data type. Nearly every organization surveyed uses and benefits from public web data through quicker decision-making, boosting revenue, and meeting customer needs.
The need for public web data in AI is clear in all industries, with more than half of respondents using public web data to build AI models for customer service or to meet internal needs such as fraud detection and risk assessment.
Although necessary to build AI machines, 72% of respondents are worried that public web data will no longer be accessible in the next 5 years. The lack of a legal framework to protect this data emerged as a top concern.
Other key insights from the report:
89% of respondents recognize public web data is crucial or very important to the global economy.82% of respondents say public web data is critical to the future of their organization.79% of respondents agree that large organizations and or big tech hide too much of their public web data.88% of respondents believe public web data is critical for the development of AI models.”Our findings reveal a clear consensus among industry leaders: leveraging public web data is key to unlocking growth and fostering innovation,” said Or Lenchner, CEO of Bright Data. “Public web data is not a ‘like to have,’ it’s a ‘must have’ to conduct business and maintain a competitive market. We understand from our own experience with 20,000 customers that once a business realizes the potential of public web data they will look to discover new ways to leverage this tool to lead against the competition.”
About Bright Data: Bright Data is the #1 web data platform. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data’s solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Contacts:[email protected]
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View original content:https://www.prnewswire.co.uk/news-releases/first-comprehensive-report-on-public-web-data-released-by-bright-data-302124673.html
Artificial Intelligence
OSIA becomes an official International Telecoms Union (ITU) standard
ITU Standardization Sector (ITU-T) Recommendation X.1281 – APIs for interoperability of identity management systems
BRUSSELS, April 23, 2024 /PRNewswire/ — The Secure Identity Alliance (SIA) announced today that its OSIA specification, is recognized as international standard by the International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T). This milestone establishes OSIA as official ITU standard (ITU-T Recommendation) for the global infrastructure of information and communication technologies (ICT).
The specification that is now an ITU-T Recommendation is: ITU-T X.1281 – APIs for interoperability of identity management systems.
ITU-T is the standardization arm of ITU, the United Nations specialized agency for ICT. The Secure Identity Alliance specifications were approved as official ITU-T Recommendations by ITU members including 193 countries and the world’s front-running ICT companies on 1st March 2024. The new ITU-T Recommendation is under the responsibility of ITU’s standardization expert group for security, ITU-T Study Group 17.
“We are very proud that the OSIA specification is recognized as an international standard by ITU-T. This milestone demonstrates the maturity of OSIA and its potential to foster interoperability and promote fairness in the identity management systems market,” said Debora Comparin, Chair of the OSIA Initiative.
Prof. Heung Youl Youm, Chairman of ITU-T Study Group 17, said, “The recognition of the OSIA specification as an official ITU-T Recommendation underscores its critical contribution to the advancement of global ICT infrastructure. We are thrilled about the ongoing collaboration between ITU-T SG17 and the SIA, aimed at developing standards for secure identity management.”
“As Editor of the OSIA standard in the ITU-T Study Group 17 Q10, I am pleased to have contributed to this successful recommendation by the ITU,” said Abbie Barbir, Rapporteur for ITU-T’s working group on ‘Identity management and telebiometrics architecture and mechanisms’ (Q10/17). “The collaboration with the SIA continues on OSIA and other structuring initiatives and standards development.”
Engr Abisoye Coker-Odusote, CEO, National Identity Management Commission (NIMC), Nigeria & Chair of the OSIA Advisory Committee, said, “As the Chair of the OSIA Advisory Committee, comprised exclusively of government representatives, we take great pride in our five years of collaboration guiding the working group in the development of the OSIA specification. OSIA establishes equal marketplace conditions, fosters collaboration, and ensures product compatibility post-mergers and acquisitions. The OSIA standardized interfaces drive innovation, enabling new local market models and reducing fraud within multiple ID systems. Additionally, OSIA addresses integrator/vendor lock-in, allowing governments to maintain control over their identity systems and pursue national development agendas seamlessly.”
“The Secure Identity Alliance has always supported standards and its members have contributed to thousands of standards globally, which are now used in the ICT market. Standards are key to unlock the full power of Identity to enable people, economy and society to thrive,” concluded Didier Trutt, Chairman of the SIA.
X.1281 is at publication stage and can be accessed here: https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=18778
OSIA v6.1.0. twin specification can be accessed here: https://osia.readthedocs.io/en/v6.1.0/index.html
OSIA qualification programme can be accessed here: https://globalplatform.org/osia-qualification-program/
For more information on the Secure Identity Alliance and the OSIA Initiative, visit http://www.secureidentityalliance.org and www.osia.io
For more information on ITU-T SG 17 visit https://www.itu.int/en/ITU-T/studygroups/2022-2024/17/Pages/default.aspx.
About the Secure Identity Alliance:
Secure Identity Alliance (SIA) is a global non-profit association that serves as the voice for public and private actors and organizations active in the secure identity ecosystem and adjacent industries. SIA’s mission is to unlock the full power of identity so that people, economy, and society thrive. The association supports the development of the activities of its members across four broad pillars: Identity for Good, Outreach, Open Standards Development and Industry Services and Solutions. www.secureidentityalliance.org
About OSIA:
A digital public good, OSIA is an open standard set of interfaces (APIs) that enables seamless connectivity between building blocks of the identity management ecosystem – independent of technology, solution architecture or vendor. More information at www.osia.io
Follow the Secure Identity Alliance at on X @secureidentity1 and LinkedIn at https://www.linkedin.com/company/secure-identity-alliance/
About ITU-T SG 17
The ITU Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating standards for telecommunications and Information Communication Technology such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members.
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Artificial Intelligence
SciBase will present at the Redeye Medtech Event on April 24th
STOCKHOLM, April 23, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders will participate at the Redeye Medtech event.
On April 24 at CET 9.50 CEO Pia Renaudin will present the latest developments in SciBase at Redeye. The presentation is live broadcasted and can be followed at https://www.redeye.se/events/974326/redeye-theme-medtech-2 where the replay and the presentations will be available afterwards.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected]
Certified Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/scibase/r/scibase-will-present-at-the-redeye-medtech-event-on-april-24-th-,c3966053
The following files are available for download:
https://mb.cision.com/Main/12371/3966053/2751965.pdf
Redeye presentation
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