AR Market (Augmented Reality) Estimated to reach $7 trillion by 2027

“Market Research Reports and Industry Analysis”
OrbisResearch.com has published “Augmented Reality (AR): Market Shares, Strategies, and Forecasts, Worldwide, 2016 to 2022” market report to its research database. Key topics listed in the report are Augmented Reality, AR, Pokemon Go, Digital Workflow, Smart Headset, Smart Glasses, Internet of Things, Shopfloor AR, Wearable Computer, and Process Image.

The 2016 study has 516 pages, 183 tables and figures. Worldwide AR markets are poised to achieve significant growth with the use of smartphone apps and headsets or glasses that are platforms to project digital information as images onto a game image or a work situation.

According to Susan Eustis, lead author of the study, “These game based and industrial end-to-end process IoT augmented reality modular AR markets are anticipated to reach $7 trillion by 2027, growing in some cases at the same pace we have seen from Pokemon Go augmented reality. Pokémon Go grew to a massive 45 million daily active users per day after two months in the market, with the market reaching $250 million for the vendor Niantic by September 2016 after two months starting from zero.

AR is in the early stages of an explosive growth cycle. The Pokemon Go phenomenon raid adoption raised awareness and expectation for the vision of augmented reality AR and digital enhancement of the surroundings. Digital enhancement as AR is just human explanation of our existing surroundings. Digital enhancement provides human explanations of the innate natural world and of the machines we use to perform work.

AR digital enhancement provides explanations and process predictions. Google pointed the way, as it so often does, to the AR opportunity with Google glass which failed, but spawned a large number of projects that have succeeded. All the AR vendors will reap the benefits of the Google original Google Glass huge AR marketing investment.

Augmented reality AR is set to become an indispensable part of people’s lives. AR is poised to take off as part of the much heralded Internet of things (IoT). Digital images become as much a part of the real world as the things we can touch and feel as they are integrated into everyday life. The reality is augmented by the digital images. Augmented reality is a misnomer to the extent that it implies that reality is somehow has something superimposed on it. Instead the reality exists, and the digital images blend in to enhance the experience of reality, make it more understandable or more interesting. The reality is not changed, it is not made better, it is understood better.

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Use-cases for AR proliferate. Pokemon Go points the way to, illustrates, the huge game market opportunity looming on the ubiquitous smart phones.

Adoption of AR technology in the enterprise is growing. AR headsets and glasses are used in manufacturing, logistics, remote service, retail, medical, and education. One popular AR application is providing ‘see-what-I-see’ functionality, enabling off-site specialists to provide real-time guidance and expertise to troubleshoot an issue. Others superimpose process steps by step information on dials and switches in workflow situations.

Epson offers smart glasses. Augmented reality displays are being used to train technicians in common routines. It is used to provide surgical guidelines to surgeons. It is used to provide information to doctors in the operating room.

AR glasses can give employees real-time data streams layered over the real world. Security clearances can be shown. Status of machinery in a factory can be shown. Internet of Things (IoT) needs AR to use data to turn information into a decision-making tool. This will work in the manner outlined by Daqri where step by step procedure manuals are created via video or some other manner.

Then the IoT uses the step by step procedure manual to address process, to address workflow via superimposing streams of data and analytics that generate alerts from that data to provide just in time information intuitively. Alerts are generated when change is noted. Streams of information from IoT sensors are basically boring unless there is a change, unless something needs attention, hence the value of alerts.

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