DUBLIN, Mar. 8, 2017 /PRNewswire/ --

Research and Markets has announced the addition of the "IoT Contextual Computing 2017 - 2022" report to their offering.

This research examines the technologies, companies, and solutions for contextual computing. The report evaluates the combination of IoT with context-aware computing and the integration of AI and Big Data technologies. The report provides forecasts for IoT in Contextual Computing globally and by region by type, sub-type, product, and industry vertical for the period 2017 to 2022.

As a subset of cognitive computing, context-aware computing represents telecommunications and computing systems that enable autonomous capture and evaluation of data from the surroundings. At the personal level, data may be collected from smartphones, automobiles, or wearable devices. At the business level, data may be collected from a variety of different types of Internet of Things (IoT) devices. In both the personal and business cases, sensors and wireless signaling are relied upon to gather data related to near-by objects, which may be directly associated with those objects and/or the ambient environment.

In all instances, the primary purpose of contextual computing in IoT is to gather data that may be put into context based on a combination of personal preferences and observed behaviors. Context may be established using Big Data Analytics and the use of various Artificial Intelligence technologies such as Machine Learning and Deep Learning techniques.

The combination of context-aware technologies, IoT, and the Cloud will enable a cloud computing as a Service model in which IoT Contextual Computing as a Service (IoTCCaaS) becomes a valuable B2B service for many industry verticals including automotive, healthcare, and retail.

Report Benefits:

- Context-aware computing forecasts 2017 - 2022
- Identify context aware application design strategies
- Understand context lifecycle management strategies
- Learn about personalization, passive active context awareness
- Identity the relationship between IoT and context-aware computing
- Learn about specific challenges and opportunities for contextual computing
- Understand role of sensor fusion and machine learning in contextual computing
- Identify opportunities for monetizing data gathered using Big Data Analytics tools

Target Audience:

- IoT companies
- Big Data companies
- Network service providers
- Artificial Intelligence providers
- Computing infrastructure providers
- Managed communication service providers
- Enterprise and industry verticals of all types

Key Topics Covered:

1 Introduction
    1.1 Contextual Computing, Context Awareness, and Context
    1.2 Context Categorization and Framework
    1.3 Level of Context Awareness
    1.4 Designing Context Awareness
    1.5 Context Lifecycle and Management
        1.5.1 Context Acquisition
        1.5.2 Context Storage
        1.5.3 Context Interpretation and Reasoning
        1.5.4 Context Adaptation
        1.5.5 Context Representation and Modelling
        1.5.6 Context Distribution
    1.6 Context Aware Application Approaches
    1.7 Quality of Context (QoC)
    1.8 Contextual Computing Middleware Framework
        1.8.1 Context Toolkit
        1.8.2 Aura
        1.8.3 CARISMA
        1.8.4 CoBrA
        1.8.5 Gaia
        1.8.6 SOCAM
        1.8.7 e-SENSE
        1.8.8 HCoM
        1.8.9 MoCA
        1.8.10 CaSP
        1.8.11 SIM
        1.8.12 COSMOS
        1.8.13 DMS-CA
        1.8.14 ACoMS
        1.8.15 CROCO
        1.8.16 EMoCASN
        1.8.17 Hydra
        1.8.18 C-Cast
        1.8.19 SALES
        1.8.20 MidSen
        1.8.21 Feel@Home
        1.8.22 CoMiHoc
        1.8.23 ezContext
        1.8.24 Octopus

2 Contextual Computing, IoT, and Relevant Technologies
    2.1 Evolution of Internet, IoT, and Contextual Computing Technology
    2.2 IoT Specific Features of Contextual Computing
        2.2.1 Context Selection and Presentation
        2.2.2 Automatic Execution
        2.2.3 Context Tagging
    2.3 IoT Specific Challenges and Opportunities for Contextual Computing
    2.4 Sensor Fusion Network, Emotive Computing and Contextual Awareness
    2.5 Role of Embedded Processing and Connectivity
    2.6 Role of Machine Learning in Contextual Computing
    2.7 Role of Predictive Analytics and Big Data
    2.8 Contextual Computing in IoT Industry Verticals

3 Select Market Players in Contextual Computing
    3.1 Amazon.Com Inc.
    3.2 Appear Networks Systems AB
    3.3 Apple Inc.
    3.4 Autodesk Inc.
    3.5 Baidu Inc.
    3.6 BMC Software Inc.
    3.7 Crowdoptic Inc.
    3.8 Facebook Inc.
    3.9 Flytxt
    3.10 Google Inc.
    3.11 Intel Corporation
    3.12 Loopt
    3.13 Microsoft Corporation
    3.14 Mxit
    3.15 Nokia Corporation
    3.16 Netflix Inc.
    3.17 Openstream Inc.
    3.18 Pontis
    3.19 Proxomo
    3.20 Samsung SDS America Inc.
    3.21 Securonix Inc.
    3.22 Telefonica SA
    3.23 Teliasonera Company AB
    3.24 Telnic
    3.25 Threatmetrix Inc.
    3.26 Verizon Communication
    3.27 Vodafone Group Plc

4 Contextual Computing Market Outlook and Forecasts 2017 - 2022
    4.1 Global Market Forecast by Type, Sub-Type, Product, & Industry Vertical 2017 - 2022
    4.2 Regional Market Forecast 2017 - 2022
        4.2.1 North America Market Forecast by Type, Sub-Type, Product, Industry Verticals & Country 2017 - 2022
        4.2.2 APAC Market Forecast by Type, Sub-Type, Product, Industry Verticals & Country 2017 - 2022
        4.2.3 Europe Market Forecast by Type, Sub-Type, Product, Industry Verticals & Country 2017 - 2022
        4.2.4 Latin America Market Forecast by Type, Sub-Type, Product, Industry Verticals & Country 2017 - 2022
        4.2.5 Middle East & Africa Market Forecast by Type, Sub-Type, Product, Industry Verticals & Country 2017 - 2022

5 Conclusions and Recommendations

For more information about this report visit http://www.researchandmarkets.com/research/lsn4p4/iot_contextual

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SOURCE Research and Markets