M2M, IoT, Sensors, and Connected World: Market and Forecast 2015 – 2020
Sensors are used in ICT 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 Internet of Things (IoT) context, physical and logical changes are equally important.
This report 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. The report covers three key areas within the sensor ecosystem:
Sensors: H/W and S/W designed and Developed to Suit IoT deployments
Protocols: Designed and developed to drive Wireless Sensor Network (WSN) in IoT
Sensor Data: Through Sensor Fusion / Multi-sensing / Soft Sensors
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Internet of Things companies
Wireless device manufacturers
Wearable technology suppliers
Digital signal processor providers
Telephony infrastructure providers
Computer and semiconductor companies
Embedded hardware, software and OS providers
Mobile/wireless network operators and service providers
Next generation application developers and content providers
Consumer electronics merchandisers and application providers
EMEA will lead the market 13.5 billion sensors in 2020 with a CAGR of 51.3%
North America ranks second with 9 billion units by 2020 with a CAGR of 46.6%
A key ecosystem function, IoT Mediation will evolve in three stages as assessed in the report
Most of sensors will be used in industrial applications followed by personal IoT, largely in the wearables category
IIoT will comprise 94% of the total IIoT business through 2020, representing a huge driver for various sensor-enabled industrial apps
Companies in Report:
365 Agile Limited (365 Agile Group Plc)
Bosch Connected Devices and Solutions GmbH (BCDS)
Digital Living Network Alliance (DLNA)
Fairchild Semiconductors International
Nanjing IoT Sensor Technology Co., Ltd.
NYCE Sensors Inc.
Open Sensors Ltd.
Seraphim Sense Ltd.
Silicon Laboratories, Inc.
Texas Instruments Inc.
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.
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