3 Technologies that will Disrupt AR in 2020

POSTED BY Sam Barker
The Augmented & Mixed Reality market can be considered in two distinct areas; enterprise and consumer AR. These sectors have differing market drivers, constraints, and addressable user bases, and thus should be considered differing.

Juniper Research believes that mobile consumer AR will account for 85% of all AR revenues this year. This is due to the large immediate addressable base of users in the form of smartphone and tablet users. Conversely, Juniper Research anticipates that the enterprise market will only account for 15% of global AR revenue in 2019. This is due to the sector reliance on dedicated AR hardware, such as smart glasses.

Juniper Research expects 5G networks to greatly accelerate both AR and VR technologies, principally in the mobile space. At present most HMDs need wired connections to process the information. Juniper Research anticipates, that for a fully immersive experience, AR will require speeds of 5.2Gbps and VR speeds of over 8Gbps.

5G Networks

With the low cost of mobile VR holder headsets, it costs relatively little for consumers with a sufficiently advanced smartphone to try out VR experiences. This enlarges the potential market for VR, increasing the chances that more consumers will begin to adopt the technology on a more serious basis.
This has, to date, been primarily achieved by Google Cardboard, with headsets at minimal prices and the possibility of self-assembly instructions as well. This has catapulted VR forward in a variety of markets, particularly those where smartphones are the primary form of computing.

Digital Voice Assistants

Juniper Research considers a digital voice assistant to be a software program designed to fill some or all of the role of a personal assistant, which is given its instructions by the user through the medium of voice interactions.

Note that voice is not the only method of interaction with the software, merely the primary or advised method. For example, Google’s Assistant, which comes under this definition, also supports text-based interaction. However in the context of AR HMDs, digital voice assistants will act as the primary, if not the sole, means of user control.

MCC & Edge Processing for Mobile AR

Edge computing in IoT has the role of forming, collating and analysing data and information at the site/source where it is generated (eg an airplane turbine engine), and not necessarily in a centralised computing set up, such as a data centre.

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