Dublin, March 27, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of the "Internet of Things Sensors and Streaming Data: IoT Real-time Data and Analytics Market Outlook and Forecasts 2017 - 2022" report to their offering. Wireless Sensor Networks (WSN) are a critical component of IoT networks. Sensors are used for detection of changes in the physical and/or logical relationship of one object to another(s) and/or the environment. Physical changes may include temperature, light, pressure, sound, and motion. Logical changes include the presence/absence of an electronically traceable entity, location, and/or activity. Within an IoT context, physical and logical changes are equally important. IoT facilitates vast amounts of fast-moving data from sensors and devices. For many use cases, data flows constantly from the device or sensor to the network and sometimes back to the device. In some cases, these streams of data are simply stored (for potential later use) and in other cases there is a need for real-time data processing and analytics. Report Benefits: - This research assesses the overall sensor marketplace for IoT, evaluates leading vendors, identifies key IoT functionality in support of sensors, and forecasts the market for sensor adoption and revenue. - This research also evaluates the technologies, companies, and solutions for real-time IoT data processing and analytics. - The report assesses challenges and opportunities associated with realizing business value from real-time analytics. - The report provides detailed forecasts globally, regionally, and across industry verticals and solution categories for 2017 to 2022. Key Topics Covered: IoT Wireless Sensor Networks: Market Outlook and Forecasts by IoT Type, Industry Vertical, and Geography 2017 - 2022 1 Introduction 2 Executive Summary 3 Overview 3.1 Critical Capabilities for Sensors in IoT 3.2 Sensors Functionality in IoT 3.3 Smart Sensors and Intelligent Endpoints 3.3.1 Intelligence at the Edge of the Network 3.3.2 Key Differentiations of Smart Sensors 3.4 High Potential Smart Sensor Applications 3.4.1 Smart Home 3.4.2 Smart Buildings and Enterprise Automation 3.4.3 Smart Cities 3.4.4 Smart Manufacturing 3.4.5 Smart Industrial Processes 4 Sensor Technology Developments 4.1 Conventional Sensor Architecture 4.2 Smart Sensor Architecture 4.2.1 Transducer Electronic Data Sheets 4.2.2 Smart Transducer Interface Module and Network Capable Application Processor 4.3 Wireless Sensor Networks 4.3.1 Sensor Nodes 4.3.2 WSN Topologies 4.3.3 Applications and Challenges 4.4 Virtual / Soft Sensors, Multi-sensing, and Sensor Fusion 4.5 Role of WSN and Sensor Fusion in IoT 4.5.1 IoT Protocols used in WSN 4.5.1.1 ZigBee Alliance 4.5.1.2 Z-Wave Alliance 4.5.1.3 Insteon 4.5.1.4 Digital Living Network Alliance 4.5.1.5 Thread 4.6 Sensor Analytics 4.6.1 Data Visualization 4.6.2 Data Infrastructure Issues 4.6.3 Sensor and Intelligent Endpoint Analytics 5 Sensors and Intelligent Endpoint Outlook and Forecasts 5.1 Smart Sensors Demand 2017 - 2022 5.2 Intelligent Automation a Key Market Driver for Smart Sensors 5.3 Demand for Sensors by Industry Category 2017 - 2022 5.4 EMEA to Lead the Regional Markets for IoT Sensors through 2022 6 Future of Sensors in IoT 6.1 Sensor Data Management and IoT Security/Privacy 6.1.1 Sensor Data Management 6.1.2 Sensors and IoT Services and Infrastructure Mediation 6.2 IoT Sensor Roadmap 6.2.1 Opportunity for Sensor Manufacturers 6.2.2 Demand for Short Range Sensors to Realize Brisk Growth 6.2.3 Opportunity for Systems-on-Chip Fabricators 6.2.4 Use of IPV6 brings New Opportunities from Massive Connectivity 7 Companies and Solutions 7.1 365 Agile Limited 7.2 Ambiq Micro 7.3 B+B SmartWorx 7.4 Bosch Connected Devices and Solutions GmbH (BCDS) 7.5 Digi International 7.6 Fairchild Semiconductors International 7.7 LeddarTech Inc. 7.8 Nanjing IoT Sensor Technology Co., Ltd. 7.9 NYCE Sensors Inc. 7.10 Open Sensors Ltd. 7.11 Sensata Technologies 7.12 Seraphim Sense Ltd. 7.13 Silicon Laboratories, Inc. 7.14 Texas Instruments Inc. 7.15 Worldsensing 7.16 Wovyn LLC. Streaming IoT Data Market Outlook and Forecasts 2017 - 2022 1 Introduction 2 Executive Summary 3 Overview 3.1 Understanding IoT Data 3.1.1 IoT Data vs. other Unstructured Data 3.1.2 Key IoT Data Characteristics 3.1.2.1 IoT Data is Real Time 3.1.2.2 Massive Volumes of IoT Data 3.1.2.3 IoT Data Generates Useful Insights 3.2 IoT Data Management Operations 3.2.1 Basic Data Implementation and Operational Challenges 3.2.1.1 IoT Data Scalability 3.2.1.2 IoT Data Integration 3.2.2 Data Management and Processing Raw Data 3.2.3 Centralized Storage and Decentralized Processing 3.2.4 Accessing and Exchanging IoT Data via APIs 3.2.5 Data Security and Personal Information Privacy 3.3 Market Outlook for IoT Data Analytics 3.3.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise 3.3.2 IoT Data becomes a Big Revenue Opportunity by 2022 3.3.3 Organizations increasing Adopt Predictive Analytics with IoT Data 3.4 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity 4 Vendor Analysis 4.1 Accenture 4.2 AGT International 4.3 Bosch Software Innovations 4.4 Capgemini 4.5 Cisco Systems, Inc. 4.6 GE Digital 4.7 Google 4.8 Intel Corporation 4.9 Lynx Software Technologies, Inc. 4.10 Maana, Inc. 4.11 Microsoft Corporation 4.12 MongoDB Inc. 4.13 ParStream (Cisco) 4.14 PTC 4.15 RIOT 4.16 SAP SE 4.17 SQLstream, Inc. 4.18 Tellient 4.19 Teradata Corporation 4.20 Wind River 5 Streaming IoT Data Analytics Revenue 2017 - 2022 5.1 Global Streaming Data Analytics Revenue for IoT 5.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services 5.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals 5.3.1 Streaming IoT Data Analytics Revenue in Retail 5.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT 5.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility 5.3.4 Streaming IoT Data Analytics Revenue in Government 5.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science 5.3.6 Streaming IoT Data Analytics Revenue in Manufacturing 5.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics 5.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance 5.3.9 Streaming IoT Data Analytics Revenue in Smart Cities 5.3.10 Streaming IoT Data Analytics Revenue in Automotive 5.3.11 Streaming IoT Data Analytics Revenue in Education 5.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services 5.4 Streaming IoT Data Analytics Revenue by Leading Vendor Platform 5.4.1 Global Investment in IoT Data by Industry Sector 2017 - 2022 6 Appendix 6.1 Regional Streaming IoT Data Analytics Revenue 2017 - 2022 6.2 Streaming IoT Data Analytics Revenue by Country 2017 - 2022 6.2.1 Revenue by APAC Countries 6.2.2 Revenue by Europe Countries 6.2.3 Revenue by North America Countries 6.2.4 Revenue by Latin America Countries 6.2.5 Revenue by ME&A Countries Companies Mentioned - 365 Agile Limited - Accenture - AGT International - Ambiq Micro - B+B SmartWorx - Bosch Connected Devices and Solutions GmbH (BCDS) - Bosch Software Innovations - Capgemini - Cisco Systems, Inc. - Digi International - Fairchild Semiconductors International - GE Digital - Google - Intel Corporation - LeddarTech Inc. - Lynx Software Technologies, Inc. - Maana, Inc. - Microsoft Corporation - MongoDB Inc. - Nanjing IoT Sensor Technology Co., Ltd. - NYCE Sensors Inc. - Open Sensors Ltd. - ParStream (Cisco) - PTC - RIOT - SAP SE - Sensata Technologies - Seraphim Sense Ltd. - Silicon Laboratories, Inc. - SQLstream, Inc. - Tellient - Teradata Corporation - Texas Instruments Inc. - Wind River - Worldsensing - Wovyn LLC. For more information about this report visit http://www.researchandmarkets.com/research/js...nternet_of
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