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New report examines the industrial wireless sensor network market research: current trends and opportunities by 2022

New report examines the industrial wireless sensor network market research: current trends and opportunities by 2022

Today, sensors have become an integral part of various industries. The high-volume application of sensors has increased their efficiencies and economies of scale. This in turn has lowered prices and is further promoting adoption of sensor networks for different applications. Industries across the globe are increasingly adopting sensor networks in order to monitor various processes. Wireless sensor networks are distributed sensing platforms with wireless communication and controlling capabilities.

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The Industrial Wireless Sensor Network (IWSN) is the network of distributed autonomous sensors placed at a remote plant area, which uses the wireless technology to send signals or measurements to a control room thereby monitoring physical or environmental conditions. IWSN has widespread applications in mining, food and beverages, medical and healthcare, and power and utility industries.

The demand of wireless sensor technology as a highly reliable network system is a key factor driving the growth of the IWSN market. Growing concern for security in automation industry coupled with technological advancements in the wireless technology are the factors that boost the market growth.

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A major challenge for the growth of industrial wireless sensor networks market has been the availability of multiple wireless communication standards leading to very little interoperability between the various sensors networks. However, during the last few years, emergence of standard communication protocols has boosted the adoption of wireless sensor networks across various industries.

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IWSN forms a part of industrial automation solution and is used for purposes such as monitoring events and periodic data collection. Significant growth in demand for automation solutions is also leading to growth of industrial wireless sensor networks market.

Further, growing trend of smart factories, growing connectivity among various industrial processes and growing use of machine-to-machine (M2M) solutions are positively impacting ISWN market. Technological advancements in wireless communication, availability of miniaturized solutions, and enhancement in power efficiency are leading to the growth of wireless sensor networks market for challenging industrial environments.

The report segments the IWSN market on the basis of sensors, technology, application and geography. On the basis of sensors, the market is segmented into temperature sensor, pressure sensors, level sensors, flow sensors, chemical & gas sensors, humidity sensors, motion & position sensors, and image & surveillance sensors among others.

On the basis of technology, the market is segmented into bluetooth & bluetooth smart, Wi-Fi and Wlan, Zigbee, Zigbee Rf4ce, Zigbee Pro, Zigbee IP, Enocean, ISA100.11a, Wirelesshart and others. On the basis of applications, the market is segmented into oil and gas, water and wastewater, food and beverages, power and energy, automotive, metal & mining, pharmaceuticals and others.

On the basis of geography, the market is segmented into North America, Europe, APAC and LAMEA.

Key market players operating in the market are ABB Ltd, Atmel Corporation, Endress+Hauser AG, Emerson Electric Co., General Electric Company, Freescale Semiconductor Inc., Stmicroelectronics, Siemens AG., Honeywell International Inc., and Yokogawa Electric Corporation.


Global Industrial Wireless Sensor Network Market: Regional Segment Analysis
North America
Europe
China
Japan
Southeast Asia
India

The Major players reported in the market include:
ABB
Honeywell Process Solutions
Linear Technologies
NXP Semiconductor
Schneider Electric
Siemens
STMicroelectronics
Texas Instruments
Yokogawa Electric
...

Global Industrial Wireless Sensor Network Market: Product Segment Analysis
Type 1
Type 2
Type 3


Global Industrial Wireless Sensor Network Market: Application Segment Analysis
Application 1
Application 2
Application 3

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