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Global Learning Landscape

An open source taxonomy for the future of education. Mapping the learning and talent innovation landscape.

About the Global Learning Landscape

The 2021 Global Learning Landscape is an open-source taxonomy for education innovation, providing a common structure and language for identifying, tracking and making sense of the volume and complexity of innovation happening in education globally. The taxonomy provides a well-defined, robust, accessible and community enabled segmentation.

Licenced under Creative Commons and as an open source project, the taxonomy is available for anyone to support their own work in education innovation, to identify an area of focus, or to locate their organization and their peers on the landscape.

A global community of educators and innovators can track and contribute to the taxonomy’s ongoing development. Following an agile approach, suggestions, ideas and iterations on enhancements will be open and available on GitHub, which provides a robust 21st Century way of sharing and curating the taxonomy, where anyone can contribute, share ideas or transparently trace each step of the landscape's evolution. Join us on GitHub to keep updating the Global Learning Landscape.


The Global Learning Landscape embraces two classical approaches to data, analytics and design. ‘Bottom Up’ analysis powered by our Global Intelligence Platform leveraging powerful machine learning and artificial intelligence, augmenting ‘Top Down’ analysis driven by HolonIQ’s Education Intelligence Unit and our global network of experts.

Bottom Up - Machine Learning

n order to support the development of the taxonomy, we initially undertook ‘bottom-up’ analysis using HolonIQ’s proprietary machine learning and artificial intelligence to analyze 60,000+ education organizations worldwide. The analysis identified natural patterns in the data using uses 'Unsupervised Learning' to explore new approaches to clustering and segmentation that are not anchored or biased by the more established and traditional taxonomies of education. The vizualisation on the right-hand side of the page for example is exploring the network of organizations in a single country. Organizations that are similar in how they support learners, parents, schools and institutions are clustered together based on the segments they service and the models and technologies they employ.

Top Down - Human Expertise

HolonIQ’s Education Intelligence Unit and our global network of experts from early childhood to lifelong learning bring deep expertise to our ‘top-down’ approach. The top-down analysis draws on the data-driven foundations of the bottom-up analysis to interpret patterns that the machine learning and artificial intelligence process produced. Considerations include context, history, purpose, business model, technologies and ecosystem relationships to add depth and interpretive understanding to the process. This also enables validation of findings against the models and innovations found in education today or expected in the future.

Who we are

HolonIQ is a globally unique education market intelligence firm. Our mission is to connect the world with the technology, skills and capital to transform education through access to the most comprehensive education innovation dataset, intelligence tools and global network of people and ideas.

We help companies, institutions, governments and investors power growth and innovation by connecting billions of data points about education startups, technologies, deal flow, schools, universities, jobs, skills, research and patents and apply machine learning to analyze, evaluate and identify patterns, generating insights that help clients make data-driven decisions and answer strategic questions.

With billions of data-points connected in just a few short months, we have already helped governments, institutions, companies and entrepreneurs in North America, Europe, Asia and Australia answer strategic questions about market trends, growth strategies, investment focus, business performance and benchmarking.

Why we did this

Education is a complex sector, combining important social, economic, cultural, intellectual and personal factors and operating at global, national, local and personal levels. However, information and data about education and the innovation that is occuring throughout the system is fragmented and anchored in its local environment, making cooperation across contexts difficult, thus hindering material innovation in the sector.

We have been building, investing and mapping innovation in education for decades and have had the opportunity to work with entrepreneurs, educators, institutions and governments globally. One of the constant themes arising from our engagements and conversations with each of these stakeholders is the difficulty in accessing, understanding and learning from innovations undertaken elsewhere.

The Global Learning Landscape provides common structure and language for identifying, tracking and making sense of the complexity and volume of innovation happening in education all around the world by providing a well-defined, robust, accessible and community enabled taxonomy.

Using a common framework will support the discovery of, and access to innovation initiatives, provide opportunities for collaboration and benchmarking, reduce barriers to innovation and allow analysis and trend mapping within or across innovation clusters. Licenced under Creative Commons and as an open source project, the taxonomy is available for anyone to support their own work in education innovation. The global community can track and contribute to the taxonomy’s ongoing development via GitHub.


Knowledge Discovery

Advancements in artificial intelligence technology are driving an increasingly sophisticated approach to unlocking knowledge from enormous volumes of text-based data to uncover new patterns, connections and ideas.

Powerful search capability and automated, intelligent systems can connect knowledge from multiple language formats.

Knowledge is increasing found in video, audio and other new digital formats. Deep tech start-ups are mining this data, connecting it with other points such as geo- and bio- information to identify new knowledge.

Open Research

The open knowledge movement is in full swing with institutions, academics and governments questioning the proprietary academic publishing model that profits from publicly funded research, when costs of distribution are now close to zero.

Under pressure from all sides including mass boycotts, academic publishing giants are increasingly providing free and open access to parts of their open access journals.

Tools for finding, collating, tagging and organising research are in this cluster, along with platforms that support collaborating, sharing and publishing of research and new knowledge. By making existing scientific, statistical and computational data and research available broadly for use, these platforms are drawing on on the power of a global community of researchers, practitioners and enthusiasts.


Startups are collaborating with educators to design new types of curriculum in specialist areas such as language learning, science or coding.

Offered in conjunction with proprietary content or curated from open educational resources, bespoke learning content is being mapped to the requirements of industries, companies or professional bodies and increasingly built for personalised pathways aligned to set curriculum.

Adaptive learning platforms are increasingly adding resources and content to their offerings and morphing into ‘learning design’ solutions with full curriculum designed in conjunction with or on behalf of educational providers and content houses.

Curriculum authoring tools, design platforms and learning analytics solutions are also part of this cluster.

Educational Resources

This cluster includes solutions for sourcing, storing, tagging and using educational resources to provide teachers with a ‘portfolio’ of resources for use in their curriculum. Resources are increasingly digital and able to be tailored by teachers, allowing for contextualised solutions.

Peer to peer content sharing platforms for teachers have taken off with hundreds of thousands of teachers sharing (and selling) their tried and tested lesson plans, worksheet and activities.

Aggregation platforms for open education resources provide a place for educators, or anyone, to construct their own courses. Textbook and learning resources marketplace solutions, literacy and numeracy platforms and apps, gamified learning content and online marketplaces for compliance and skills training are all part of this broad cluster.


The peer-to-peer knowledge exchange phenomenon is moving into learning and education, with platforms supporting educational Q&A structured by traditional content topics such as maths, science and history.

Platforms offer membership options for advanced content, peer voting and scoring of content for contributors to manage quality. Other platforms act as matching solutions for those who seek answers with those who are experts in the field, or with the online community to support a ‘crowd sourced’ solution, offering answers in real-time.

Peer to peer knowledge solutions in education will continue of challenge the notion of ‘trusted expert’ which has traditionally been vested in institutional contexts.

Education Management

Education management tools and platforms provide a unified data solution across the student journey. Learner and learning data are visible to teachers, parents, students and administrators to assist in decision-making and tracking progress.

Using AI technology, some solutions in this category provide personalized and predictive recommendations, while others solve the communication challenge across many stakeholders by automating workflow, alerts and providing dashboard-like data visualisation.

Supporting institutions in administrative workflow and efficiency, solutions in this cluster range from student behaviour management, financial aid management, teacher hiring, timetabling, identity management and parent communications.

Learning Environments

Digital learning environments in educational institutions are still dominated by traditional LMS/ VLE platforms designed to administer content, activities and assessment related to learning.

Incumbent systems are challenged by old architecture, however interoperability standards, cloud computing, a greater focus on user experience and integration of intuitive communication and social solutions will keep competition in this market.

Newer solutions focus on the whole learner experience and a ‘one stop shop’ for teachers, schools and whole education systems.

Global technology giants are developing partnerships and learning environment solutions that leverage broader integrations with their product set.

Classroom Technology

The lines are now blurred between physical and digital classrooms. At campuses around the world, technology in the classroom has come off the walls and into the hands of students, allowing the integration of digital resources, activities, games and assessment with the lessons that are happening in the physical world.

Digital capture of physical learning enables students to revise and engage with their own class, or to interact with others in live, synchronous online class spaces.

Smart classrooms and smart furniture, screen casting and recording, interactive whiteboards, 3D printers, classroom robotics are included in this cluster.

Admissions Platforms

Admissions platforms solve problems for students, parents and institutions by digitising search, matching, verification and admissions processes and by providing step-by-step workflow management.

Solutions are now broadening out into consumer sales and marketing strategies and solving student retention issues through personalised communication approaches.

Drawing on the ‘power of the crowd’ some solutions in this category are using a peer to peer advisory model using students and recent graduates to provide mentorship and admissions advice.


Following trends in other industries, new tech-enabled solutions for financing education have gained traction over the past few years. Solutions offering ‘earn now, pay later’ models, micro-lending and re-financing options for learners provide easy to use, membership-based solutions that are challenging traditional lenders.

Financing options for private school fees that allow repayment after graduation ease the strain on parents. Scholarship search and matching solutions enable students to discover and navigate complex scholarship processes and enable schools to fulfil their scholarship commitments.

New payment processing solutions help colleges process payments from international students and challenge traditional providers in this space.


The Pre-K cluster incorporates organised learning, typically offered in pre-school environments ranging from traditional models, to exploratory learning and immersive settings.

Tech innovations in before school learning apps and games, tech-enabled toys and robotics are undergoing a surge of interest and innovation as research on the brain of 0-6 year old’s reveals an exponential return on educational investment in those early years.

As governments around the world regulate for mandatory formal education prior to school, new models such as ’micro-pre-schools’ are emerging. Babysitting and nanny platforms, early learning apps, educational games, audio and interactive storybooks are also included in this cluster.


Typically organised along national curriculums and embedded into the social fabric of communities, schools offer standardised curriculum for children aged between five and eighteen years.

While there are vast differences in participation and learning approaches in schools worldwide, there is a global trend towards private schools across both developed and developing countries.

As nations, economies and communities become increasingly engaged in a global world, there is a growing network of global schools, which maintain diversity and internationalization at their core.


Vocational training is usually incorporated into national education systems and deals with technical training required of physical professions, with historical roots in craftmanship. Traditionally, those who undertook vocational training went through an apprenticeship learning model.

Vocational training institutions have not seized the opportunity to ‘own’ the new technical professional space of computing and coding but have been languishing in the shadow of their more elite university peers over the past twenty years.

However, there is emerging worldwide recognition of the importance of technical and vocational training to deliver future human capital as the ‘engine room’ of healthy economies.


Alternate education providers, ranging from K-12 through to ongoing professional training have always been considered ‘outliers’ and ‘edge cases’ to the formal education system, with a negligible percentage of learners engaging in alternative forms of education.

However, in search of better outcomes and frustrated with national systems, alternative providers are gaining traction and we now see alternative university models for example, which are focussing on specific skills and outcomes such as critical thinking, ethical decision making and leadership.


Once the sanctuary of the elites, over the past thirty years, universities have morphed into servicing the mass market. In the context of diminished public resources and market demands, universities have incorporated technology into most parts of their educational delivery.

Many traditional universities offer fully online courses and represent a significant customer segment for EdTech firms and technology companies alike.

There are many university ‘segments’ from Ivy League, to open and distance learning to those who’s remit is in particular disciplines such as engineering or technology.

Some ‘mega’ universities are emerging off the back of massive global online enrolments and others are joining forces to create alliances, share resources and students.


Massive Open Online Courses have evolved significantly since the early days of their free, open B2C beginnings.

In addition to the giants, which provide learning solutions to hundreds of millions of people worldwide, many universities and entire countries have now launched their own MOOCs or partnered with large MOOC providers to offer their students/ workforce with flexible options for ongoing learning.

MOOC providers have modified their business models to include paid components for testing and credentials, formed alliances with universities around delivery and recognition of learning and have become a ‘training’ provider to corporates for upskilling their workforces. MOOC providers have also commenced delivering full degree programs with partnering institutions, thereby edging into the OPM market.

Prop Online

An industry worth over $200b annually, online learning is now an accepted form of education and ongoing learning. Online education providers with proprietary content and activities range from those offering short courses for professionals seeking to update their skills, to online courses for children to supplement formal school education. Learning experiences range from individual, self-paced learning through to live synchronous classes with academic or industry teachers. Many proprietary online providers operate B2C, though we are seeing more B2B models where online providers are partnering with institutions, corporates or schools.

Learning experiences range from individual, self-paced learning through to live synchronous classes with academic or industry teachers.

Many proprietary online providers operate B2C, though we are seeing more B2B models where online providers are partnering with institutions, corporates or schools.


OPM’s (Online Program Management) effectively act as the outsource provider of online learning for schools and universities who do not have the capability or infrastructure to go it alone, or who see an OPM arrangement as a better strategic option.

OPM’s market, design and run online education programs on behalf of institutions with commercial arrangements ranging from profit share through to fee for service.

To remain competitive, keep their current students engaged and as a source of additional revenue, schools are increasingly using OPM’s as a low risk way to enter the online market.

Bootcamp 2.0

Originally designed to fill the skills gaps for coding and other new digital skills, bootcamps are short, full-time programs, typically 9 to12 weeks in length aimed to get learners ‘job ready’ in new professions

Over the past five years bootcamps have evolved into partnership and B2B operations which sees traditional providers such as universities and schools partnering with bootcamps to provide a much needed skills ‘shot in the arm’ in topics that traditional providers cannot cover.

Bootcamps are strengthening their focus on employability and moving into the corporate arena by partnering with large companies and industry bodies to provide upskilling for workforces.


More people in the world now access the internet via smartphone than any other device and the ‘app’ is the primary mechanism for access to information and services.

There are over half a million education apps, which are in the top three most popular apps categories.

Not surprisingly, we see a vast number of education apps for children in key learning areas such as maths and language learning.

The reach and user acceptance of app technology also means that more traditional education providers, both online and offline, are increasingly using app technology to communicate and engage learners.


Extended Reality refers to virtual reality (VR), augmented reality (AR), and mixed reality (MR). XR has the potential to solve key learning challenges such as engagement, but also offers the opportunity for lower cost training in high stakes situations such as medical, defence and aerospace

XR startups focusing on education range from mobile solutions that allow multi-use in schools, the redefinition of experiential learning, to alternative models for vocational training in physical trades and lab learning.

As the costs of immersive technologies reduce and technologies become more user-friendly, schools are more able and willing to invest in alternative, virtual experiences for their students.

Corporates are also increasingly investing in XR for workforce training in industries such as retail and industrial production.


A modern renaissance of engineering, electronics and programming is being manifested in the revival of robotics.

Combining creativity in software and hardware, robotics startups are helping kids to find their inner inventor through ‘make your own’ kits, combined with online communities of enthusiasts and teachers, global competitions and the use of everyday household materials.

Already a significant B2C market, robotics startups are also working with schools and school systems to allow integration of hands-on robotics learning into the curriculum.

Voice, Chat, Wearables

The development of artificial intelligence, voice recognition, GPS and micro-processing technology now supports innovations in both the administration of education as well as learning processes

Chat bots are widely used to assist student choice for providers and courses, while voice enabled hardware is being installed in college dorm rooms to provide personalized information and in classrooms as teaching assistants.

Voice-based analytics, literacy and language learning are growing as voice recognition technology advances. Wearables that prompt learning for students of all ages, or deliver guidance in field services, manufacturing and other physical occupations are becoming more prevalent as real-time learning integrates with productivity solutions.

Games and Simulations

Games have long been a core instructional strategy in the Pre-K space and game-based learning apps still dominate this space.

Elements of gamification have also been making their way into higher educational levels and corporate training over the past few years and more recently, serious game design elements are being used in professional online training.

Virtual and mixed reality simulations, once limited to high cost operations such as flight simulators, are now becoming mainstream and we see many applications in medical, engineering and other physical procedures but also increasingly common in ‘regular’ curriculum as the benefits of authentic activities are more appreciated.

STEAM & Coding

STEAM and coding have become one of the largest domains of innovation activity over the past few years across all sectors and age groups.

Offline solutions focus on boot camp-style offerings for kids and adults alike, especially for upskilling in the area of coding. Equally abundant and online and app solutions for learning to code, which often include an online community, peer instruction and competitions or global ‘jams’.

A new wave of STEM products such as robotics and science kits are integrating software and hardware, and the maker-movement.

Arts education, broadly defined, is also seeing a renaissance, with tech-enhanced creative and design skills, online music and art education.

Language Learning

While the use of technology to learn a language is not new, over the past few years we have seen significant investment and innovation in technology-led language learning models.

Live synchronous small group learning that makes use of advanced video and audio technologies connecting language learners with teachers anywhere in the world has powered the Chinese afterschool tutoring market. App driven language learning for kids and adults has made language learning, particularly English, one of the top app categories on all platforms.

The use of artificial intelligence is well and truly embedded language learning solutions, from adaptive processes to voice recognition for pronunciation.

Language Testing

Morphing from pencil and paper to technology-based language testing has been happening for many years. However, efficiently scaling the speaking and listening components have proved challenging.

Recent developments in synchronous video/audio technology along with bio-credentialing and live monitoring have opened up new possibilities for secure and verified testing solutions at scale.

Application of artificial intelligence allows for a unique assessment path for each test-taker, and moving beyond language basics to assessment of skills and capabilities for courses or scholarships.

Data from millions of language learners and billions of learning interactions paves the way for the disruption of incumbent language tests and testing procedures.


Parents and students are turning to technology to help them find the best match for their study goals and preferences.

Matching and ‘concierge’ platforms that use artificial intelligence to connect learners with institutions and help them through to admissions are becoming more common as the competition for top talent starts earlier than ever.

Other approaches see platforms built out of networks of college advisors to guide and answer questions from initial contact through to course choices and admissions.

International Schools

With over 8,000 international schools worldwide, serving almost 5 million students and half a million teachers, international schools are big business globally.

Over three quarters of enrolments in international schools come from the host country, an indicator of the demand (and ability to pay) from parents who want to give their children an internationally focused education and provide a better chance at entry into a top global university.

China has the most number of international schools with almost 600 in the country and will need at least to double that in the coming years to service the likely demand from high net worth families and the growing middle-class population.

International Study

International education is one of the most commercialized aspects of the higher education, with millions of students travelling abroad each year to study overseas, undertake summer school or exchange programs, or as a pathway into higher education via English language and foundations studies.

While the traditional face to face ‘agent’ model still dominates, high tech solutions are prevalent across every part of the value chain from searching and matching platforms, online admissions consultants, peer to peer coaching, scholarship finder, study skills and internship services.

Teacher Resources

Discoverable digital resources for teachers, facilitators and even those aimed at parents provide an easy to find, curate and contextualized content for teaching – saving hundreds of hours creating or searching for content and lessons.

Not just covering the core curriculum, digital content, activities and instructional guidance also help teachers with age appropriate resources for skills such as critical thinking using authentic scenarios.

Ready-made interactive online resources and printable worksheets integrate on- and off-line learning. In addition to proprietary providers, peer to peer teacher sharing platforms engage tens of thousands of teachers, rewarding popular and well-designed resources with micro-payments and community kudos.

Study Notes/Homework

As learning productivity tools, apps are more popular with digitally savvy generations. Easy to use, organize, tag and find, study note tools are increasingly integrated with operating systems (think Chrome extension).

Study and homework organizers range from tools for collating, and finding, going paperless by scanning and storing study papers, annotating and notetaking on PDFs, and putting together citations and bibliographies.

Other apps in this category assist students organize their classes, assignments and exams while synchronizing across devices.

Larger platforms that offer support across the whole student lifecycle aim to ‘own the customer’ across their whole study career, from school to undergraduate, postgraduate and beyond.

After School

Arguably the fastest growing segment in the Asian EdTech space, online and offline after school tutoring and coaching supports millions of students every day of the week in thousands of online and offline classrooms and clinics.

Whether learning English to better prepare for high school exams, remaining competitive in mathematics or undertaking broader critical thinking skills training to prepare for SAT-style exams, after school tutoring and coaching in core areas remains vastly popular, particularly in competitive, exam focused cultures.

Technology enables high quality digital alternatives to physical classes and have been a catalyst for huge scale and broader access.


Tutoring platforms match tutors with student needs and provide interactive online class spaces for synchronous instruction. Video/audio technology advancement has meant that ‘anywhere’ tutoring has unlocked tutor supply. In addition to set tutorial sessions, some providers offer ‘anytime help’ hours by drawing on a pool of qualified tutors available from different time zones.

Other tutoring models ditch the 1:1 teaching altogether allowing students to photograph their problem/question, is matched with a tutor who walks them through the steps to solve the problem via messaging. Other models are more ‘on demand’ tutoring services, connecting students with a tutor within minutes of requesting help.

Education integrations with other ‘home services’ are increasingly common, and learners can now add tutoring to their ‘Amazon cart’.

Test Prep

High stakes exams such as language tests, university admissions and entry into professions still feature heavily in the education landscape.

As such, test preparation remains a thriving part of the sector, with more online and personalized options available.

In addition to traditional online solutions such as video tutorials, AI technology supports adaptive and personalized preparation of many providers and peer platforms connect and match learners with those who’ve succeeded and provide feedback on practice exams.


As the cornerstone of learning, assessment design, delivery, grading and feedback has been digitized significantly over the past fifteen years.

Now far beyond multiple choice question banks, technology solutions are enabling everything from online proctoring, handwriting and audio to text, analysis of video assessment, robust peer-grading systems and assessment design tools.

AI applications in text analysis supports machine-grading of complex written work and identification of engagement and participation in online classrooms.


As careers are increasingly made up of many jobs or gigs, which are digital in nature, systems for capturing and recording work output are extending beyond the creative professions

Portfolio systems, provide an individual online space to evidence work, knowledge and skills, which is ‘owned’ by the learner/professional rather than by the institution.

Portfolio systems become the ‘digital persona’ of an individual, rendering the traditional CV obsolete and with the learner in control of who gets access to what information.

Digital portfolio platforms provide the opportunity to showcase non-academic work, while code repositories are effectively showcases of programming skills.


Traditional credentials provided by universities and other educational institutions are less able to service the need for more granular verification of specific technical, content and professional knowledge and skills.

A number of proprietary and open badging and credentialing services are now available, which manage the design, issue and management of digital badges, allowing learners to evidence their learning, and keep digital credentials from different providers attached to their online social and professional profiles.

Blockchain technology is now powering a number of these providers, thus enabling tamper-proof, shareable and immutable records. Partnerships and integrations between traditional institutions and credentialing providers offers new possibilities.

Career Planning

Career guidance has moved beyond the career counselor’s office, with sophisticated apps and tools and resources for career assessment, planning and guidance.

Tools in this space support the new job seeker as well as providing B2B solutions for government and industry managing workforce and industry transitions. Other platforms use artificial intelligence to improve job-seeking performance through automated resume evaluation and feedback, online interview practice with a robo-interviewer and in-depth interview analysis and feedback.

Self-exploration tools help individuals identify their strengths and preferences and identify career possibilities and pathways.

Skills Verification

Employers are increasingly seeking evidence of candidate skills rather than just relying on education qualifications for hiring decisions.

Using artificial intelligence, solutions in this category assess in demand skills such as creative and critical thinking, problem-solving and communication.

Understanding individual preferences, styles and traits and matching these against employer needs and profiles, or team culture fit are also part of this landscape, with some apps focusing on enabling graduates to uncover their skills and match these with employer needs.

Workforce Planning

Organizations in this cluster are focused on workforce data and analytics.

From labor market analytics that help governments, universities and employers make decisions and understand local labor markets to platforms that assist in supporting whole workforces successfully transition into the fourth industrial revolution.

Other solutions mine information about an organization’s existing workforce to identify current and future capability gaps and surface labor market information through analysis of millions of job postings and resumes.

Talent Acquisition

New models that take full advantage of big data are disrupting traditional talent acquisition processes with the promise of finding better matches, lowering search and turnover costs and eliminating bias from the hiring process.

Others in this cluster are focusing on matching qualified talent by recirculating candidates who are not hired at one firm into their network of organizations or those that combine training solutions with outsourcing graduates as temp talent.

New players are prioritizing a full suite of features from on-demand video screening, mobile first interfaces to conversational AI chat-based candidate hiring.

Capability Development

Solutions in this category are focused squarely on supporting organizations to keep their workforce engaged and updated with the capabilities required across the company, whenever and where ever needed.

Solutions range from platforms that curate classes, conferences, coaches or content that is tailored to the identified needs of the organisation to mobile microlearning for onboarding and upskilling and others that seek to deliver a ‘whole of organization’ learning culture and community.

Performance Management

Rewarding, recognizing and managing performance solutions range from apps that focus on individual and team recognition for performance, to systems that provide non-salary benefits and rewards, to administrative systems for managing remuneration.

New solutions in this category aim to minimize complexity and provide a digital experience for staff as well as making full use of the data that is captured in these systems to support predictive intelligence and identify compliance issues in advance.

Other solutions focus on ensuring that organizations can easily collect and act on staff feedback to support a positive work culture and collective performance.


Taking a holistic approach to staff management, solutions in this space range from re-inventing processes such as managing health benefits, to apps that support employee engagement, motivation and development through online community-building, creative challenges and health-habit improvement tools.

Integrated solutions for companies also incorporate well-being assessments, wellness coaching and biometrics screening. Other tools provide mechanisms for dealing with workplace conflict, giving tough feedback, preparing staff for performance review processes and other stressful work situations.

In K12 and Higher Education solutions are supporting cyber safety, managing bullying, physical and mental health support for kids and young adults.


As workers in the twenty first century will likely have many jobs and multiple careers through their adult lives, they will need to constantly update knowledge and skills to remain relevant and able to fulfil ever changing job requirements.

Organizations in this cluster fulfil this need with on demand training in everything from digital skills, safety and compliance to hobbies and creative pursuits. Operating B2C, B2B2C and B2B models, companies are beginning to use these providers to manage their whole workforce onboarding and training needs, attracted by the ability to add your own content or use extensive provider libraries and easy monitoring and tracking functionality.

Other peer-based platforms highlight the community and social aspects of learning, encouraging members to actively contribute and become a trainer.


Gaining practical experience in an area of career interest remains highly sought after by most students and universities are increasingly incentivized to provide internships as part of their programs.

However, internship opportunities are hard to find and traditionally reserved for the elite few. Platforms specializing in promoting internship opportunities help to match candidates with employers and virtual internship models go one step further, allowing students to get hands-on experience while working remotely.

These models are increasingly popular as companies become adept at managing a remote workforce and technology is able to support virtual team collaboration and workflow.


With a long-held tradition of practice-based learning with a mentor, apprenticeships have dominated vocational education for centuries.

Over the last ten years there has been increased recognition of the importance of practical, vocational training both in traditional and in new skills that will be required of future workforces. However, conventional apprenticeship models are hard to scale and new solutions are emerging to solve the scale issue.

Combining online courses, mentoring platforms, skills assessment and on-site practice-based training, these blended models are becoming more accepted. Meanwhile, technology is now supporting significant elements of traditional apprenticeship programs such as virtual reality training and video assessment of skills.


It is estimated that more than half of the world’s workforce will be contingent workers by 2030 and these platforms provide discovery, matching and quality control to support connection and transaction between ‘gig’ workers and those who need a project or task completed.

Like many peer platforms, typically all parties have a profile and transparent mutual ratings systems and payment ranges from flat fees, ‘bidding’ for jobs or per hour arrangements.

Systems such as these are likely to become a more accepted and popular way of fulfilling specific projects or tasks as skills shortages in some geographies are balanced by a large number of trained and ready workers in other parts of the world, in particular in emerging economies.


Peer to peer mentoring platforms connecting alumni and students are enabling meaningful connections and scale that were not possible in face to face, localized models.

Platforms enable alumni to share their story, guide and inspire students and create a virtual ‘connected community’ space. Other services combine structured learning with one to one mentoring, where learners work through content and are paired with a mentor already working in the field.

On demand marketplaces connect professionals in specific fields such as coding, to enable project feedback and coaching. Platforms designed to support organizational mentoring programs manage matching, workflow, communication and administration, reducing manual processes and allowing mentoring programs to scale.

Global Giants

Global technology companies provide infrastructure, applications and services to support institutions, in both administration and increasingly learning contexts. Technology providers are increasingly focusing on the K-12 market by providing a ‘one stop shop’, including hardware, software, infrastructure, hosting and support. Traditionally servicing consumer and business, tech companies are seeking to become the ecosystem platform for the education sector. Global publishing houses still provide a significant proportion of formal learning resources especially in the higher education and high school environments. With traditional publishing business models under threat, publishing houses are investing in EdTech products and moving to digitize their traditional products and product delivery.


Firms, individuals and government organizations support education innovation by providing capital funding through direct investment, grants and equity financing. Venture capital investors in education range from individual ‘angels’ to social impact funds, broad based investors to those who focus specifically on EdTech investment. In addition to traditional investment houses, corporate venture funds within education organizations, publishers and later stage EdTech startups also undertake EdTech investment and acquisition activity.


Accelerator and incubator programs provide much needed support and structure for early stage EdTech entrepreneurs, from those with an idea through to assisting startups to develop their business model, pitch and product, through to help finding investors. Typically between 3-6 months in length, accelerator programs provide working space, structured support via programs and mentoring, and cash funding, often in exchange for a small percentage of equity. There are a handful of dedicated EdTech accelerators globally and many education startups participate in broader programs allowing for collaboration across sectors.


EdTech and education innovation events range from mega-conferences and expos to small meetups and practice sharing sessions. Events provide a focus for learning about specific topics, sharing practices and making connections to people working in the broader education ecosystem. Expo events provide opportunities for products and services to connect with potential customers. Large EdTech conferences attract a global audience and allow connections between thought leaders, entrepreneurs, teachers, government, investors and service providers.


Competitions and awards are numerous in early stage EdTech ecosystems, enabling entrepreneurs an opportunity to gain exposure their products and services and as practice ‘pitching’ their ideas and business model. Making it through to the finals of competitions or awards provides an easy ‘finding and filtering’ mechanism for early stage investors. National (and international) awards are fewer in number but range from effective use of technology in teaching and teaching innovation awards, through to tech-product awards in the education sector.