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The adaptive learning software market is projected to grow by USD 1.88 Billion from 2024-2028, with AI impacting trends and rising demand for personalized learning boosting revenue – Technavio

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NEW YORK, Sept. 30, 2024 /PRNewswire/ — Report on how AI is redefining market landscape – The Global Adaptive Learning Software Market  size is estimated to grow by USD 1.88 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  24.04%  during the forecast period.  Increasing need for personalized learning is driving market growth, with a trend towards assessment functionalities in adaptive learning software  However, increasing costs related to implementation and training  poses a challenge – Key market players include Adobe Inc., Cornerstone OnDemand Inc., D2L Inc, DreamBox Learning Inc., iEnergizer Ltd., Instructure Holdings Inc., International Business Machines Corp., John Wiley and Sons Inc., Kidaptive Inc., Korn Ferry, Learning Technologies Group Plc, Lincoln Learning Solutions, Microsoft Corp., New Leaf Technologies Pty Ltd., Pearson Plc, Richardson Consulting Group, Skillsoft Corp., Think and Learn Pvt. Ltd., and Totara Learning Solutions Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Ed-tech companies, Educational institutions, and Corporate sectors), Deployment (Cloud-based deployment and On-premises deployment), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Adobe Inc., Cornerstone OnDemand Inc., D2L Inc, DreamBox Learning Inc., iEnergizer Ltd., Instructure Holdings Inc., International Business Machines Corp., John Wiley and Sons Inc., Kidaptive Inc., Korn Ferry, Learning Technologies Group Plc, Lincoln Learning Solutions, Microsoft Corp., New Leaf Technologies Pty Ltd., Pearson Plc, Richardson Consulting Group, Skillsoft Corp., Think and Learn Pvt. Ltd., and Totara Learning Solutions Ltd.

Key Market Trends Fueling Growth

Adaptive learning software is a valuable tool for businesses, streamlining employee training and evaluation. Traditional methods, such as paper handouts and PowerPoint presentations, raised concerns regarding accuracy and timely results. Adopted by many organizations, adaptive learning software enables real-time training and evaluation based on designation, experience, and other parameters. Advanced features cater to corporate stakeholders, with vendors like Skillsoft offering the Skillport platform for customized training and system integration. Performance metrics assess employees on social, emotional, behavioral, and cognitive abilities. The launch of innovative AI-driven tools, like BYJU’S WIZ, further enhances performance measurement capabilities. These advancements are expected to fuel the demand for adaptive learning software in the business sector. 

The Adaptive Learning Software Market is witnessing significant growth as educational establishments and corporations adopt new technology to enhance training programs. Administrators seek personalized learning experiences for learners, leading to the increasing popularity of adaptive learning platforms. Integration difficulties with data management systems and conventional teaching methods persist, but the benefits of adaptive learning systems, such as high-speed internet access and real-time learner data analysis, outweigh the challenges. Adaptive learning systems use artificial intelligence, machine learning, and data science to provide customized content based on learners’ needs. Cloud-based and on-premise solutions cater to various sectors, including Higher Education, Corporate, K-12, and EdTech. Effective instructor training and implementation complexities are crucial for successful adoption. New technology trends, such as up-skilling, self-directed learning, augmented reality (AR), and virtual reality (VR), are transforming the digital education industry. Gamification and adaptive learning systems are also gaining traction, offering engaging learning experiences. Despite these advancements, challenges such as data privacy and security remain. The market’s growth is driven by the need for effective learner outcomes and the increasing use of ubiquitous computing in education. As the market continues to evolve, adaptive learning software will play a crucial role in delivering personalized, effective, and engaging learning experiences. 

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Market Challenges

The Adaptive Learning Software Market faces significant challenges in terms of cost and digital literacy. The high cost of the software and its deployment is a major barrier to entry for many institutions, particularly in developing regions. Additionally, the need for extensive staff training and continuous updating and subscription renewals add to the overall expense. The lack of digital literacy among faculty in some institutions further complicates the adoption process. These factors may hinder the market’s growth, requiring careful consideration and planning for potential adopters.The Adaptive Learning Software Market is experiencing significant growth due to the increasing demand for personalized learning solutions in both higher education and corporate segments. Advanced algorithms and data analytics enable these software applications to adapt to individual learner needs, enhancing the learning experience and improving student progress and proficiency level. Educational institutions, colleges, and universities are embracing adaptive learning software to address the unique requirements of each student, leading to better learning outcomes and engagement. Corporate training programs also benefit from adaptive learning solutions, addressing individual learning styles, pace, and linguistic requirements to improve worker productivity and address skill shortages. Technological developments continue to drive innovation in this market, with data-driven decision-making and ongoing education opportunities becoming essential for both academic institutions and corporate training initiatives. Adaptive learning software provides customized training courses and adapts to individual learning gaps, making it a valuable investment for educational technology suppliers.

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Segment Overview 

This adaptive learning software market report extensively covers market segmentation by

End-user 1.1 Ed-tech companies1.2 Educational institutions1.3 Corporate sectorsDeployment 2.1 Cloud-based deployment2.2 On-premises deploymentGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Ed-tech companies-  The adaptive learning software market is experiencing significant growth among ed-tech companies due to the increasing demand for personalized learning, particularly in the K-12 and higher education sectors. Factors fueling this growth include high broadband penetration, education networks, technology deployments in schools, content digitization, teacher shortages, new government policies, and the enrollment in online higher education. Companies like John Wiley and Sons Inc. And McGraw-Hill Education Inc. Offer adaptive learning software with features such as real-time performance feedback, learner-influenced instructional levels, integrated course management tools, and streamlined mobile capabilities. Solutions like ALEKS K-20 adaptive software by McGraw-Hill Education Inc. Provide personalized learning platforms for higher education. Ed-tech companies are also introducing cloud-based adaptive learning solutions to reduce implementation costs, but concerns over technical knowledge and safety and privacy issues remain.

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Research Analysis

The Adaptive Learning Software Market is experiencing significant growth in the digital education industry, driven by advancements in Artificial Intelligence (AI) and Machine Learning (ML) technologies. These technologies enable personalized learning solutions that cater to individual learner needs, enhancing the learning experience. Data science plays a crucial role in analyzing student progress and proficiency levels to provide effective up-skilling opportunities. Ubiquitous computing and EdTech have made adaptive learning systems accessible through e-learning platforms, enabling self-directed learning. Augmented Reality (AR) technology further enriches the learning experience by providing interactive and educational content. Advanced algorithms and data analytics help adaptive learning systems adjust to the student’s pace and learning style, making education more effective. Adaptive learning systems are being adopted by educational institutions, colleges, and corporations for effective teacher training and up-skilling employees in the Higher Education and Corporate sectors. Cloud-based and on-premise solutions offer flexibility, while high-speed internet ensures seamless access to these software applications. The future of adaptive learning lies in continuous innovation and integration with emerging technologies to provide a more effective and personalized learning experience.

Market Research Overview

Adaptive learning software is revolutionizing the digital education industry by leveraging advanced technologies such as artificial intelligence (AI) and machine learning to provide personalized learning solutions. These software applications use data analytics and learning analytics to understand individual learner needs, paces, and styles, and adapt the learning experience accordingly. The use of AI and machine learning enables adaptive learning software to deliver adaptive information based on the student’s progress and proficiency level. The adaptive learning market is witnessing significant growth due to the increasing demand for up-skilling and self-directed learning in the corporate segment, K-12 segment, and higher education segment. The integration of technologies such as AR, VR, gamification, and cloud-based software is enhancing the learning experience and engagement, leading to higher retention rates. Technological developments in adaptive learning software are enabling data-driven decision-making for educators and administrators, providing performance metrics and identifying individual learning gaps. However, implementation complexities and integration difficulties with data management systems and conventional teaching methods remain challenges. The adaptive learning market caters to the learning requirements of academic institutions, colleges, universities, and corporate training programs, offering customized training courses to address skill shortages and enhance worker productivity. The market is witnessing innovation in adaptive learning platforms, providing adaptive information in learning environments, and catering to linguistic requirements and learning disabilities. Ongoing education and skill enhancement are key drivers of the adaptive learning market, with educational technology suppliers investing heavily in technology-enabled learning solutions.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userEd-tech CompaniesEducational InstitutionsCorporate SectorsDeploymentCloud-based DeploymentOn-premises DeploymentGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Bloomberg Introduces Spread-to-Benchmark Quoting for EUR and GBP Portfolio Trading Baskets

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LONDON, June 2, 2026 /PRNewswire/ — Bloomberg today announced the launch of Spread-to-Benchmark quoting and trading for Euro (EUR) and Sterling (GBP) denominated portfolio trades through its Portfolio Trading Basket Builder (PTBB). The new functionality expands the range of quoting protocols available for European credit portfolio trading and reflects growing client demand for spread-based execution workflows, alongside increased dealer support for the convention across EUR and GBP markets.

Spread-to-Benchmark quoting is a well-established protocol for USD credit portfolio trades and is used by market participants to evaluate and execute portfolio trades. By extending this workflow to EUR and GBP portfolio trades, Bloomberg enables clients and dealers to transact using a familiar spread-based methodology across additional credit markets. 

The introduction of Spread-to-Benchmark quoting for EUR and GBP baskets reflects increased client interest in evaluating portfolio trades through a spread-based lens and the growing adoption of spread-based execution workflows in European credit markets. The workflow provides market participants with an additional framework for assessing the relationship between credit spread risk and underlying government bond yields when pricing and executing portfolio trades. 

Additional Workflow Flexibility 
The workflow complements Bloomberg’s existing portfolio trading capabilities, which support the full range of market-standard quoting conventions, including Price, Yield, Spread-to-Benchmark and Spread based workflows that reference Bloomberg’s evaluated pricing service (BVAL). This gives clients flexibility to compare and execute portfolio trades using the quoting methodology that best aligns with their investment objectives, execution preferences and internal risk management processes. 

“European credit clients continue to look for execution workflows that reflect how they evaluate risk and monitor portfolio trading outcomes,” said Harry Street, Global Head of Credit and Equities Trading Product at Bloomberg. “By expanding dealer support for Spread-to-Benchmark quoting for EUR and GBP baskets, Bloomberg is broadening the range of workflow options available to clients trading European credit portfolios.” 

“Portfolio trading workflows in fixed income continue to become more sophisticated as institutional investors look for ways to evaluate execution quality in changing market conditions,” said Kevin McPartland, Head of Market Structure & Technology Research at Crisil Coalition Greenwich. “Spread-based quoting helps market participants more clearly distinguish between the impacts of credit spread and underlying rates movements when determining how best to execute a portfolio trade.” 

Bloomberg’s Electronic Markets solutions are used by leading financial institutions to trade efficiently in over 175 markets around the world. More than 9,000 client firms use Bloomberg Electronic Markets to access industry-leading depth and breadth of liquidity across asset classes from over 800 dealers globally. Bloomberg Electronic Markets provides market participants with comprehensive solutions across the trading lifecycle, including robust price transparency, analytics, automation and execution, powered by Bloomberg’s high-quality, multi-asset class data and tools.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.

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Dr. Sunho Kang, a senior battery-technology executive with leadership experience at major global battery and EV manufacturers, joins TeraWatt Technology as Head of Product and Technology

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SAN FRANCISCO, June 2, 2026 /PRNewswire/ — TeraWatt Technology Inc. (Headquartered in California, USA) is pleased to announce that Dr. Sunho Kang has joined the company as Head of Product and Technology.

Dr. Kang is a globally recognized battery-technology executive with more than 25 years of leadership experience spanning the United States, Asia, and Europe, and a distinguished track record of advancing innovations from laboratory research through gigafactory-scale production. He has held senior executive positions at world-leading organizations including Samsung SDI, Apple, and Volkswagen Group of America, and brings deep expertise in lithium-ion battery materials, cell engineering, and product industrialization across a broad range of applications, including electric vehicles and energy storage systems.

At TeraWatt, Dr. Kang will lead global product development and the commercialization of TeraWatt’s battery technology platform, aiming to accelerate the delivery of TeraWatt’s competitive products as well as the technology and commercialization roadmap including manufacturing scale-up.

Dr. Kang commented:

“I am thrilled to join TeraWatt Technology as Head of Product and Technology. TeraWatt’s innovative battery platform presents a tremendous opportunity to push the boundaries of lithium-ion technology, and I look forward to working with the team to accelerate product development and commercialization to deliver meaningful impact.”

TeraWatt Technology founder CEO Ken Ogata, Ph.D. commented:

“We are thrilled to welcome Dr. Kang as our Head of Product and Technology. His deep expertise in battery materials, cell engineering, and productization will be instrumental in accelerating TeraWatt’s product roadmap and technology leadership. Together with Dr. Kang, we will continue to drive our mission forward.”

About TeraWatt Technology Inc.
TeraWatt Technology Inc. is a California-based company that produces lightweight, high-power, and safe next-generation lithium-ion batteries.

Company Overview
Name: TeraWatt Technology Inc.
Representative: Co-founder and CEO Ken Ogata
Headquarters: 28 Geary St, Suite 650, San Francisco, CA 94108, United States
Founded: January 2020
Established: December 2019
URL: https://www.terawatt-technology.com/

 

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SOURCE TeraWatt Technology Inc.

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Tencent Cloud and Soniox Announce Strategic Partnership: Combining Advanced Speech-to-Text (STT) Technology with Global Real-Time Infrastructure

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HONG KONG, June 2, 2026 /PRNewswire/ — Tencent Cloud, the cloud business of global technology company Tencent, today announced a strategic partnership with Soniox, a San Francisco-based speech AI company that specializes in developing high-accuracy, low-latency speech AI solutions. The collaboration integrates Soniox’s speech-to-text (STT) technology with Tencent Cloud’s Real-Time Communication (TRTC) enterprise-grade global infrastructure, enabling enterprises to build and deploy multilingual voice AI applications across 200+ countries and regions.

Elevating Enterprise Voice AI at a Global Scale

In enterprise voice AI deployments, latency directly affects user experience and application reliability. The integration of Soniox’s high-accuracy, low-latency STT with TRTC’s global transmission infrastructure reduces latency across the entire pipeline, creating a comprehensive end-to-end solution for enterprises deploying conversational AI applications worldwide.    

Soniox is the voice platform for every language. Unlike legacy speech AI, which was built primarily for English-speakers, Soniox delivers native-speaker accuracy across 60+ languages. Its technology can handle mid-sentence language switching — a user can switch between English and Chinese in a single utterance, and Soniox will capture every word with complete accuracy. All of this works through a single API that works for both speech-to-text and text-to-speech.

By integrating TRTC, the partnership leverages an enterprise-grade real-time communication backbone featuring more than 3,200 global nodes, sub-300 ms worldwide latency, and advanced capabilities such as AI noise suppression and weak-network resilience. These capabilities enable conversational AI applications to operate reliably across diverse network environments, including regions such as Southeast Asia and Africa.

With the roll out of this partnership, developers can integrate the Soniox STT API directly within the Tencent Cloud console. Whether targeting English-speaking markets or supporting languages such as Arabic, Hindi, and Malay, enterprises can build global voice applications — including intelligent customer service, voice assistants, real-time translation, and meeting transcription — to address the demands of expansion into emerging markets and multilingual scenarios.

Wison Xie, Head of Product at Tencent RTC, stated: “Tencent RTC has always been committed to providing reliable real-time communication infrastructure for global enterprises. Our partnership with Soniox brings together our strengths in enterprise-grade audio transmission and Soniox’s advanced speech recognition technology. Together, we are making it easier for businesses to deploy accurate, low-latency voice AI applications across any language and any market.”

Klemen Simonic, CEO at Soniox Inc., stated “At Soniox, our mission is to help businesses understand every word, in any language, with native speaker accuracy and exceptional speed. Partnering with Tencent Cloud combines our speech AI with world-class real-time infrastructure, enabling enterprises to build voice AI experiences that scale globally with low latency and reliability.”

About Tencent Cloud:

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Tencent RTC:

Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide.

About Soniox:

Soniox is a next-generation voice AI company bringing about the end of English-first speech AI. Most people on the planet did not grow up speaking English and often mix languages mid-sentence; and yet legacy speech AI was built for just English. Soniox is different: native-speaker accuracy across 60+ languages, true mid-sentence language switching, and flawless alphanumeric recognition that legacy providers still can’t match. For developers building global apps, Soniox is the only option. Try it for yourself at soniox.com.

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SOURCE Tencent Cloud

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