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Global Telecoms - M2M and Big Data - Key Global Trends

Synopsis

Machine-to-Machine (M2M) also referred to as ‘Internet of Things’, is going to be a real game-changer. It will transform every single sector of society and the economy and it will be out of this environment that new businesses – and indeed new industries – will be born.

With the development of high-speed broadband and mobile 3G/4G infrastructure now well and truly underway in many countries it is important to look at what will be the real value of this infrastructure. It offers a range of features such as ubiquitousness, affordability, low latency, high speed and high capacity. It will link millions of devices, such as sensors, that will enable us to manage our environment, traffic, infrastructures, and our society as a whole much more efficiently and effectively.

The large amounts of data generated by M2M developments as well as the increase in user generated communications via social networks and the like will be of benefit to Big Data developments. Organisations are beginning to recognise the importance of storing and processing data efficiently and also mining this data for commercial benefit.

This report provides insights into the developments referred to as the Internet of Things (IoT) and M2M as well as exploring the concept of managing Big Data. It provides unique and valuable examples of smart city projects which provide an indication of the future potential of M2M/IoT developments. It also includes information on the RFID market which has a promising future in Machine-to-Machine transmission applications and is already in widespread use around the world.

Latest developments:

In 2013, Etisalat joined the M2M multi-operator alliance, which plans to launch a single worldwide Sim card trial on its connected management platform. A group of standardisation organisations joined together in 2012 to form OneM2M, an initiative which aims to develop common specifications.

Hop topics:

The Internet of Things includes elements of M2M; sensors network; Behavioural Attitudinal Geolocation; smart grids; information processing; Complex Event Planning (CEP); U-CEP, personal informatics; artificial intelligence; E-Science; NBN; Cloud Computing; smart cities; business opportunities; sector transformation, Big Data.

Table of Contents

  • 1. Synopsis
  • 2. ‘Things’
  • 3. Telcos and the science of Big Data
  • 4. From SCaDa to IoT
    • 4.1 Machine-to-machine communications (M2M)
      • 4.1.1 First major M2M alliance
      • 4.1.2 The OneM2M initiative
    • 4.2 Connected devices
  • 5. Sensors
    • 5.1 Introduction
  • 6. Sensor applications for a smarter world
    • 6.1.1 Smart cities
    • 6.1.2 Smart environment
    • 6.1.3 Smart water
    • 6.1.4 Smart metering
    • 6.1.5 Security and emergencies
    • 6.1.6 Retail
    • 6.1.7 Logistics
    • 6.1.8 Industrial control
    • 6.1.9 Smart agriculture
    • 6.1.10 Smart animal farming
    • 6.1.11 Domestic and home automation
    • 6.1.12 E-health
      • 6.2 Micro-electronic-mechanical devices
      • 6.3 Nanotechnology
      • 6.4 Commercial IoT products
    • 7. RFID
      • 7.1 RFID – a business revolution
      • 7.2 Rapidly maturing technology
        • 7.2.1 Use in retail
        • 7.2.2 Use in healthcare poised to grow
        • 7.2.3 Use in identification
      • 7.3 Spectrum allocation
    • 8. Change in services driven by sensing and monitoring information
    • 9. Who will dominate the IoT market?
    • 10. Building smart communities and smart countries
    • 11. Stage one – infrastructure
      • 11.1 Electricity companies and the Internet of Things
    • 12. Stage two – trans-sector policies
    • 13. Stage three – the business game-changer
    • 14. Application examples
      • 14.1 OpenFlow – the programmable network revolution
      • 14.2 Behavioural Attitudinal Geolocation
      • 14.3 Deep Packet Inspection (DPI)
      • 14.4 Cloud Computing – an essential element of the Internet of Things
      • 14.5 Ubiquitous Complex Event Processing (U-CEP)
      • 14.6 Cognitive computing
      • 14.7 Wireless Networks
      • 14.8 Smart grids
      • 14.9 Cosm
      • 14.10 Smartphones
      • 14.11 e-entertainment
      • 14.12 IPv6
      • 14.13 Opportunistic computing
      • 14.14 E-Science
        • 14.14.1 Citizens E-Science
        • 14.14.2 From video to virtual knowledge
    • 15. Staggering IoT predictions
    • 16. Related reports
    • Table 1 – Worldwide connected devices
    • Chart 1 –Worldwide market share of M2M connections – 2011; 2020
    • Exhibit 1 – Item-level RFID use
    • Exhibit 2 – RFID spectrum frequencies and application examples
    • Exhibit 3 – Cows and the IoT
    • Exhibit 4 – Smart shopping
    • Exhibit 5 – Lifetime customer relationships
    • Exhibit 6 – Many Eyes – e-science web site example
    • Exhibit 7 – GigaPort3

    Focus Report profile

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