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The global context aware computing market size stood at USD 27.46 Billion in 2018 and is expected to reach USD 132.15 Billion by 2026, exhibiting a CAGR of 21.8% during the forecast period.
Context aware computing technology is defined as an automated solution that helps to detect significant information and implemented in systems to improve user interaction. This automated technology helps to capture situational information about surroundings & things, people and places for delivery of situation centric functions and content. Context aware computing system is based on combination of numerous technologies including augmented reality, virtual reality, location-based technology, near-field communication (NFC), beacons, Biometrics, Anonymous video analytics (AVA) and others.
In the upcoming years, key companies in this market are expected to increase their investment in context-aware applications, driven by the adoption of technological trends across enterprise mobility. Companies including Apple Inc., Amazon Inc., Facebook, Google Corporation, Microsoft Corporation, and Nokia Corporation are focused on adopting business strategies namely the implementation of new technologies, developing and launching customized solutions and acquiring relatively domain expert players. For instance, Apple is currently focusing on developing context “Aware Programming Interfaces” (APIs) to develop innovative enterprise applications. The company launched Core ML, an advanced API to operate machine learning more efficiently on devices including iPhones, iPad and others.
Demand for context aware computing solutions will tend to rise in the consumer electronics industry, as electronics device manufacturers are deploying this computing solution in the devices to operate applications namely, location tracking, emergency alerts, and others. Demand for this solution is expected to increase owing to penetration of mobile computing devices includes tablets, PC, and smartphones and smart wearable devices.
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Smartphones are enabled with various advanced sensors including accelerometers, GPS, microphone, magnetometer, and light sensors that help to add context-aware capabilities, and enhances user experience. Further, context-aware computing is also deployed with smart wearable devices and mobile applications such as Fitbit, Garmin, and Nike and smart wearable include Apple Watch, Google Glass, and others.
Further, Artificial Intelligence (AI) became one of the most significant aspects of both technology and business, and leading technology providers are investing in the development of AI. For instance, during 2014-2015, Google acquired Deepmind, UK based technology Provider Company. This acquisition was completed to develop technologies for e-commerce, games, and also develop computer systems capable of playing computer games.
“Significant adoption of the advanced sensors”
The demand for context-aware computing applications is rapidly increasing owing to the development and integration of advanced sensors and beacons on smartphones, wearable devices, and other smart objects. It has now become feasible for the developers to capture contextual information using this sensor. The number of sensor-enabled network devices is rapidly increasing and is projected to exhibit remarkable growth in the forecast period. This growth in sensor-enabled network devices would enhance the demand for context-aware computing services. Further, the demand for context-aware digital marketing is rapidly increasing as marketing campaigns are proving to be beneficial for customers and profitable for marketers. In the retail industry, context-aware marketing has shown the potential to enhance the shopping experience of the customers and the operational performance of the suppliers.
The implementation of IoT based sensor fusion techniques and software support has enabled the adoption of context-aware computing solutions and services. Further, with the developments in sensor hardware technology and other materials, sensors are expected to be integrated with all the objects in our surroundings, so that effective machine-to-machine or machine-to-human communication could be established without any manual intervention. Analyzing this sensor data is one of the issues that IoT would face.
“The emergence of disruptive technologies, such as AI, IoT, and Augmented reality”
Advanced technologies such as AI, IoT, and machine learning have been the primary factors favoring the growth of context aware computing market. The emergence of IoT has gained a lot of traction over the last few years. Artificial Intelligence offers tremendous opportunities in the industries which are leading through dramatic changes including healthcare, personalized education, novelty scientific discoveries, increased agricultural crop yields, weather forecasting, and others. The long term federal investments in primary AI research and development has led to the innovation of new theories and approaches for AI systems, moreover applied research has allowed the translation of AI into practical applications.
Based on the vendor, the scope of the study is distributed into Mobile Network Operator, Device Manufacturer and Online, Web, and Social Networking Vendors. The device manufacturer segment is expected to cover the largest market share during the forecast period. Under this segment, device manufacturers that are integrating context-aware computing in smart devices are considered. The device manufacturers pre-install presentation tools and context data collection tools in their smart devices. For instance some of the device manufacturers have control to integrate hardware and software; some of the vendors are Nokia Corporation, Apple Inc., and others.
Based on End-user Industry, the scope of the study is segmented into BFSI, consumer electronics, media and entertainment, automotive, healthcare, telecommunication, logistics & transportation and others. The consumer electronics segment is expected to grow with a decent CAGR due to the rapid adoption of disruptive technologies, such as AI, IoT, and Augmented reality. The demand for context-aware computing market will grow in the consumer electronics industry as the mobile advertising platform to use loction for serving ads.
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For instance, In Mobi, Company is using context-aware computing solutions to create smart advertisements. This strategy helps users to get instant information about weather, nearby places, and other useful things based on location and search engines.
Based on the geographical usage of context aware computing solutions, the scope of the study is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. North America is anticipate to dominate the context-aware computing market, with the presence of major market leaders and users of context-aware technology in the region. The rise in integration of Internet of Things technology in smart wearable devices, driven by the adoption of smart homes in North America, is projected to boost market growth in near future.
North America Context Aware Computing Market Size, 2018
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Further, rising enterprise investments in context-aware applications and technologies due to growing popularity regarding enterprise mobility is anticipated to fuel the context-aware computing market in North America. Key companies in this region are integrating context aware computing applications in the search engines to provide recommendations and to enhance preferences of users. Amazon and other online retailers are using an intelligent recommendation engine to know the items for purchase based on individual preferences, shopping history, specific feature product interest, and others.
"Key players such as IBM Corporation and others would focus on strengthening the market position for providing context aware computing solutions”
IBM Corporation (International Business Machines Corporation) is an information technology company, catering IT solutions and services including cloud computing, blockchain technology, AI platform, and others across a wide range of industries. IBM Corporation has a strong geographical presence and caters to the custom-made end-user industry demands with the help of over 350,600 employees across the globe. IBM is focused on investing and redeveloping its business platform to structure its IT segments. These Segments includes content analytics, real-time context aware system, artificial intelligence, cloud, quantum computing, among others. Furthermore, IBM Corporation dedicated to developing and offering innovations in context awareness processing, natural language processing, computer vision and machine learning.
According to estimates, the cost of data breaches increased up by 14% during 2014-2015. The cost of the data breach to a company was around USD 3.5 Million, and is increasing with a considerable year on year growth of 15%. To deal with such breaches, major companies such as MoneyGram International Inc. and others are adopting security and privacy controls based on big data solutions. IBM’s context computing platforms help to secure and facilitate information sharing without the context breach. IBM is providing context aware computing platforms to various industries including banking, financial and insurance (BFSI), retail, government and others.
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This report provides an elaborative analysis of the global context aware computing market dynamics and competitive landscape. Various key insights presented in the report are the price trend analysis, recent industry developments in the global context aware computing market, such as mergers & acquisitions, the regulatory scenario in crucial countries, macro, and microeconomic factors, SWOT analysis, and key industry trends, competitive landscape and company profiles.
Value (USD Billion)
As per our study, the global industrial automation market held a revenue of US$ 27.46 Bn in 2018 and it is anticipated to grow at a CAGR of 21.8% during the forecast period (2019 -2026). Context aware computing technology is defined as an automated solution that helps to detect significant information and implemented in systems to improve user interaction.
The device manufacturer segment is expected to cover the largest market share during the forecast period. Under this segment, device manufacturers that are integrating context-aware computing in smart devices are considered. The device manufacturers pre-install presentation tools and context data collection tools in their smart devices.
The consumer electronics segment is expected to grow with a decent CAGR due to the fast adoption of disruptive technologies, such as AI, IoT, and Augmented reality. The demand for context-aware computing will grow in the consumer electronics industry as it helps mobile advertising platform to use location to serve ads.
The implementation of IoT based sensor fusion techniques and software support has enabled the adoption of context-aware computing solutions and services. Advancement in technologies such as cloud computing, machine learning and others have been the primary factors favoring the growth of context-aware computing market.
Some of the key players in context aware computing market includes IBM Corporation, Microsoft Corporation, Cisco Systems Inc., Google LLC, Oracle Corporation, Amazon.com Inc., Samsung Electronics Co. Ltd, Apple Inc., Intel Corporation, Onapsis Inc. and Flybits Inc.
North America to dominate the context-aware computing market, with the presence of major market leaders and users of context-aware technology in the region. Increasing integration of the internet of things technology in smart wearable devices, driven by the adoption of smart homes in North America, is projected to boost market growth in near future.
The context aware computing market is estimated to reach US$ 132.15 Bn by the end of 2026.
Increasing adoption of core technologies including augmented reality (AR), virtual reality (VR), location-based technology, near-field communication (NFC), beacons, Biometrics, Anonymous video analytics (AVA) and others. are some of the key trends related to this market.
Some of the upcoming opportunities for context aware computing market includes AI solutions in smart cities, smart energy, smart infrastructure, smart healthcare, smart building and others. Further, advancements in mobile computing technology would provide a platform for context-as-a-service.
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