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Metaari's 2018 Advanced Learning Technology Research Taxonomy Published
SEATTLE, Jan. 30, 2018 /PRNewswire-iReach/ -- Metaari publishes their updated research taxonomy in January every year. The new taxonomy is a free whitepaper called "Metaari's 2018 Advanced Learning Technology Research Taxonomy" and was published on January 28, 2018. It provides details on Metaari's research methodology, product definitions, buyer segmentation, and the licensing model for syndicated market research reports.
"Our research taxonomy is the backbone of our quantitative data repository," comments Metaari's Chief Researcher, Sam S. Adkins. "It is the foundation of our classification system that enables us to identify, catalog, and index addressable revenue opportunities for suppliers."
Next-generation advanced learning technology products in Metaari's 2018 research taxonomy include AI-based Learning, Mixed Reality Learning, Game-based Learning, Cognitive Learning, Mobile Learning, Location-based Learning, and Educational Robots.
A PDF of the updated taxonomy can be downloaded from:
"All of these products have growth rates above 14%," says Adkins. "Mobile Learning revenues are the highest of all the advanced product types we track and global revenues will more than double to $26 billion by 2023, far outpacing the revenues generated by legacy products such as Self-paced eLearning, which now has a steep negative growth rate at -11.2%."
Several of these advanced learning technology products are very new on the market. Educational Robots have come on the market in just the last 2-3 years. They are proving to be particularly effective in helping children with special needs. Robots designed to teach children coding are now popular all over the world.
One of the best-known cognitive computing platforms is IBM's Watson and developers are building out advanced learning technology products on top of the cloud-based platform. Pearson, Apple, Blackboard, Sesame Street, and Houghton Mifflin Harcourt are building new products on Watson. The advantage of using Watson is that suppliers do not have to build their own AI engine and just have to connect to the cloud-based engine.
"Mixed Reality Learning is very effective at improving performance, decreasing training time, and increasing productivity," adds Adkins. "In the current market, revenues for augmented types of Mixed Reality Learning tend to be concentrated in the corporate industrial sectors and revenues for virtual Mixed Reality Learning products are still heavily concentrated in the healthcare training and education industry."
A significant catalyst driving the market for Mixed Reality Learning is the availability of easy-to-use and cost-efficient authoring tools and the growing availability of well-stocked catalogs of 3D objects and VR experiences (essentially VR clip art) in commercial online stores. The suppliers of the tools and stores are marketing them to non-specialists and pricing the products at relatively low price points.
"The release of Apple's ARKit and Google's ARCore SDKs in 2017 is a huge catalyst for AR development," comments Adkins. "Apple and Google have dramatically opened up the market for augmented mobile applications via the release of their AR SDKs. Both platforms make it much easier to develop AR apps."
Metaari (formerly Ambient Insight) is an ethics-based quantitative market research firm that identifies revenue opportunities for advanced learning technology suppliers. We track the learning technology markets in 122 countries. We have the most complete view of the international learning technology market in the industry. Metaari focusses solely on advanced learning technology research on products that utilize psychometrics, neuroscience, game mechanics, robotics, cognitive computing, artificial intelligence, virtual reality, and augmented reality. For more information about our research, email: email@example.com
Media Contact: Sam Adkins, Metaari, 360-805-4298, firstname.lastname@example.org
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