Product Code: RP-ID-10059715 |
Published Date: 21 Oct 2022 |
Region: NA |
Category: ICT & Telecom |
Report ID: 10059715
Market Overview:
Global Machine-to-Machine (M2M) Connections Market
The global Machine-to-Machine (M2M) Connections Marketwas valued at USD 20.13 billion in 2016 and is projected to reach USD 29.99 billion by 2025, growing at a CAGR of 4.53% from 2017 to 2025.
Machine to Machine (M2M) is a concept for the connection of different devices to transmit or receive its data remotely over a network. This network could be fixed wire or wireless. M2M is used most commonly where data has to be collected from remote sources.
Sample Infographics:
Market Dynamics:
1. Market Drivers
1.1 Increasing usage of internet
1.2 Favorable regulatory framework
1.3 Growing M2M Connections Among Various Industry Verticals
1.4 Growing Adoption of 4G/LTE Cellular Technologies and Rising Demand for Extended Network Coverage
2. Market Restraints
2.1 Lack of Standardization in Connectivity Protocols
2.2 Inability to Leverage the Benefits of Mobility
Market Segmentation:
1. Global Machine-to-Machine (M2M) Connections Market, by End User:
1.1 Healthcare
1.1.1 Patient Monitoring Systems
1.1.1.1 Blood Pressure Monitor
1.1.1.2 Blood Glucose Meter
1.1.1.3 Multi-Parameter Monitor
1.1.2 Fall Detector
1.1.3 Smart Pill Dispenser
1.1.4 Telemedicine
1.2 Utilities
1.2.1 Smart Grids
1.2.2 Smart Meters
1.3 Automotive and Transportation
1.3.1 Telematics
1.3.2 Fleet Tracking/Monitoring
1.4 Retail
1.4.1 Intelligent Vending Machines
1.4.2 Contactless Checkout/Pos
1.4.3 Digital Signage
1.5 Consumer Electronics
1.5.1 Smart TV
1.5.2 Smart Appliances
1.5.2.1 Smart Refrigerator
1.5.2.2 Smart Washing Machine
1.5.2.3 Others
1.6 Security & Surveillance
1.6.1 Commercial & Residential Security
1.6.2 Remote Surveillance
1.7 Others
1.7.1 Oil & Gas
1.7.2 Agriculture
2. Global Machine-to-Machine (M2M) Connections Market, by Technology:
2.1 Wired Technologies
2.1.1 Ethernet
2.1.2 Industrial
2.1.2.1 Industrial Ethernet
2.1.2.2 Modbus
2.1.2.3 Profinet
2.1.2.4 Foundation Fieldbus
2.2 Wireless Technologies
2.2.1 Short Range
2.2.1.1 Wi-Fi
2.2.1.2 Zigbee
2.2.1.3 Bluetooth
2.2.2 Cellular Network
2.2.2.1 Second Generation (2G)
2.2.2.2 Third Generation (3G)
2.2.2.3 Fourth Generation (4G)/Long-Term Evolution (LTE)
3. Global Machine-to-Machine (M2M) Connections Market, by Region:
3.1 North America (U.S., Canada, Mexico)
3.2 Europe (Germany, UK, France, Rest of Europe)
3.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
3.4 Latin America (Brazil, Argentina, Rest of Latin America)
3.5 Middle East & Africa
Competitive Landscape:
The major players in the market are as follows:
1. AT&T Inc.
2. Cisco Systems Inc.
3. Huawei Technologies Co., Ltd.
4. NXP Semiconductors N.V.
5. Texas Instruments Incorporated
6. Intel Corporation
7. Gemalto N.V.
8. Vodafone Group PLC
9. Murata Manufacturing Co., Ltd.
10. U-Blox Holding AG
11. Fanstel Corporation
12. Commsolid GmbH
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.
RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH:
Research study on the Machine-to-Machine (M2M) Connections Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.
To know more about the research methodology of verified market research and other aspects of the research study, kindly get in touch with our sales team
Related Reports
Proof of Quality & Reliability
