Context aware computing is an area of human-computer interaction technology that uses information about the circumstances surrounding users - such as their location, nearby people and objects, and the current time and date - to provide relevant information and services. Being aware of the context allows computers to provide appropriate functionality and information according to the experience state of the user. For instance, advanced smart assistants utilize context aware computing to enhance customer experience and provide relevant information to the users based on what they are doing or where they are. Advancements in technologies such as machine learning, artificial intelligence, ambient sensors and wearable devices are driving rapid innovation in context aware computing. The global context aware computing market is expected to witness significant growth over the forecast period owing to growing demand for intelligent personal assistants and smart devices across various industry verticals.
Market Dynamics:
The global context aware computing market is majorly driven by increasing adoption of IoT devices, growing popularity of artificial intelligence and its integration across various applications. Advancements in technologies such as machine learning, natural language processing and neural networks have enabled development of sophisticated context aware intelligent systems. Growing demand for personalized user experiences across industries such as retail, healthcare, BFSI is expected to propel the demand for context aware computing solutions in the coming years. However, high initial investment costs and privacy & security concerns regarding usage of personal data could hinder the market growth. On the other hand, emerging applications of context aware computing in smart cities and transportation sector are expected to create new opportunities for market players in the long run.
Key Features of the Study:
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