Research Report on Context Aware Computing (CAC) Market Size, Share, Analysis, Growth, Trends and Forecasts, 2016 to 2024 | Hexa Research

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Growing demand for using these systems to attain better targeting of customers is expected to drive the market growth of “context-aware computing market”. The growing acceptance of computing experience and increased adoption of mobile computing devices is expected to have a positive impact on the context-aware computing market.

Context-aware computing belongs to a class of mobile systems thatsense their surrounding physical environment and adapt their behavior accordingly. Context-aware systems act as components of the pervasive computing environment. Context is likelyto be the most accepted form by the consumers in the coming years. Context-enriched services are anticipated to use environmental and situational information about the user’s social attributes, presence, and location to meet end user requirements. These systems are used to improve the quality of interaction with consumers. Growing demand for using these systems to attain better targeting of customers is expected to drive the market growth of context-aware computing market. Enterprises are investing heavily in context-aware applications as there is a popular trend of enterprise mobility. Innovation and technological advancements are expected to drive market growth over the forecast period.

The various products available in this market are active phones, augmented reality & guided systems, conference assistants, cyber guides, web-browsers, location aware information delivery, fieldwork, office assistants, people & object pages, and shopping assistants. The growing acceptance of computing experience and increased adoption of mobile computing devices is expected to have a positive impact on the context-aware computing market. The increased penetration of PCs, smartphones, and tablets along with the introduction of smart wearables areexpected to augment market growth. However, this technology faces several challenges such as cyber forage, user’s intent, adaptation strategy, context awareness, and privacy issues along with energy management concerns. Proper handling of trust and privacy issues are expected toboost the context-aware computing market even further.

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Context-aware computing finds its applications in financial services & insurance, banking, consumer goods & retail, academia & education, energy & power, manufacturing, healthcare, logistics & transportation, government & public sector, commercial & office environment, residential & home environment, oil & gas, telecom & information technology, and travel & hospitality. Telecom and information technology is the key application segment followed by banking, insurance, and financial services.

The key industry participants ofthis market are Appear Networks, Amazon, Autodesk, Microsoft, Facebook, Apple, Google, and Nokia. The other prominent industry players include CrowdOptic, Flytxt, Loopt, Intel, Openstream, Pontis, Mxit, Proxomo, Securonix, Samsung, Telefónica, TeliaSonera, ThreatMetrix, Telnic, Vodafone, and Verizon Communications, Inc. The key strategies adopted by industry participants is developing custom solutions, new technologies, and acquiring domain experts. Early adopters would have the advantage of experiencing convenience for the implementation of sophisticated services.

Appear Networks developed context-aware computing solutions for the construction, rail, and aviation sector. Appear IQ Technologies have been implemented in the Netherlands and Sweden. It is anticipated that the next battle between Apple and Google is to be based on context. CrowdOptic has developed an interactive streaming platform thatconnects the world through smart devices and helps in building a community. Microsoft is currently using context-aware computing to generalize beyond location and type ahead search. Nokia had launched a Context-Aware Tablet N95 and also developed applications based on context-aware computing. Google has developed Google Glass, an entire product based on context-aware computing.

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