Global Machine-to-Machine (M2M) Connections Market – Overview
The concept of machine of machine learning has evolved rapidly in the past few years greatly, so as to include different domains. Market Research Future which concentrates on market reports linked to the electronics and semiconductors sector amongst others recently made available a report on this sector. The Machine-to-Machine connections industry worldwide is expected to demonstrate revenue growth at USD $ 27.05 Billion by the year 2023 while growing at 9.9 per cent CAGR between the years 2017 to 2023.
Increasing remote monitoring applications have increased the scope and growth potential of the market significantly. Growing emphasis on automation has led to further development of the machine to machine connections market. Emphasis of the machine to machine learning concept has also increased due to development of the market for internet of things.
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By Product: routers, wireless beacons, IoT & M2M modems, modules mobile point of sale and others.
By Technology: Short Range, Ethernet, Wired Technologies, Industrial, Cellular Network, Wireless Technologies and Others
By End-User: Automotive & Transportation, government and defense, Security & Surveillance, Consumer Electronics, Retail, Healthcare, Utilities and Others
By Region: Asia Pacific, North America, Europe and Rest of the World (ROW)
Detailed Regional Analysis
The analysis on the basis of region of the Machine-to-Machine connections sector includes region such as North America, Asia Pacific, Europe and Rest of the World. In the North American market, it has been estimated that 65 per cent of M2M service revenue is contributed for by the service wrap and 35 per cent by the provision of connectivity. Though, the main portion of the revenue comes from service enablement with the remnants coming from the delivery of basic short range connectivity. Meanwhile in the European market, the operators such as Deutsche Telekom and Vodafone are already witnessing a respectable rate of success in the connected health market, and it is expected to be the leading region in the duration of the forecast period.
Global Competitive Analysis
The trend for diversification in the industry has enabled the competitors to access the profitable circumstances accessible in this market are being applied by candidates who are trying to increase their market coverage by focused development which can encourage the expansion of this business sector. The merchandise are also being diversified to large extent to keep up with the robust pace of technological discoveries. The companies are trying to create and capture economic value together in an appropriate manner. This has raised the possibilities for the approaching growth period significantly. This consequence has further proven to be fruitful for companies so they can fix target that can uphold their commercial enterprise's liquidity to take the most active decisions in terms of strategy execution and designing.
The main players in the market for machine to machine learning sector include Vodafone Group PLC (UK), Telit Communications (UK), Gemalto N.V. (Netherlands), Texas Instruments Incorporated (US), U-blox Holding AG (Switzerland), and Verizon Communications, Inc. (U.S) among others.
Feb 2018 A 13-digit numbering system for SIM-based Machine to Machine (M2M) communication, which will be employed for controlling various devices together with car and child tracking devices, surveillance camera and smart electric meters by the use of the Internet. The telecom sector has already made attempts to have informed operators together with state-owned Bharat Sanchar Nigam Ltd that a 13-digit numbering plan will be deployed for Machine to Machine (M2M) communication. The 13-digit numbering strategy which will be come into force from July 2018 for M2M communication, the mobile phone numbering plan of 10 digits will remain unaffected.
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