Australia - Big Data, M2M, Cloud Computing and Data Centres

Australia - Big Data, M2M, Cloud Computing and Data Centres

Code: BC2015-7 | Published: Aug-2015 | Pages: 181 | Budde Communication Pty Ltd
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ICT sectors are merging into a new wholesale platform for the networked economyThere certainly is a lot of interest in the IoT (personal devices) and M2M (industrial applications) market. But what we are seeing is only what is happening on the surface. Most of the IoT and M2M activities are taking place unseen. For example, all new electronic devices (smartphones, tablets, set-top boxes, game consoles) are now IoT devices. Wearable technology has also become a thriving part of the IoT industry, with an ever-broadening range of possible uses and devices, including smart watches, glasses, clothing items, skin patches, and even implants for health monitoring.

Tens of millions of smart meters have already been deployed by the electricity industry, with literally hundreds of millions of them in the pipeline. Healthcare is another key industry. All new hospitals now operate large-scale M2M operations, tracking their equipment with real-time information. Most local governments have invested massively in mapping their assets; this is now being followed up by adding connectivity to these assets - whether it be streetlamps, drainage, sewerage or trees, all are in the process of becoming part of a smart city. The number of connected M2M devices in Australia will grow to somewhere between 25 million and 50 million by 2020. Progress is still hampered by lack of standards, interoperability and effective government and industry collaboration.

The intelligent outcome of the use of the various new technologies is known as big data. This can only be achieved through connected information management and data collaboration. Open data systems are therefore critical to its success. Governments are increasing the number of data sets they make available to the public and data collaboration between businesses is also starting to happen.

These intelligent transactions are mostly taking place in the cloud, with data centres forming the intelligent hubs between the clouds. Cloud computing has become one of the fastest-growing areas for the IT sector, and cloud computing solutions are being adopted by enterprises; government and consumers alike. In 2015 cloud computing has become more mainstream, with the majority of large enterprises adopting various solutions. Small and medium-sized businesses still largely need to start on the road to cloud computing, while close to 90percent of larger businesses in developed economies have already embraced it. Few people realise the enormous impact that cloud computing is already making.

The other critical element for the future of these ICT developments is the network quality needed for those billions of intelligent transactions between all of the IoT and M2M devices. This data needs to be collected and processed to then deliver executable outcomes with real-time analyses to the IoT and M2M devices and their users, being consumers, businesses, government organisations, utilities, traffic authorities and so on.

In order to successfully implement the emerging networked economy far more robust infrastructure is required than is currently available. The NBN and 4G LTE-Advanced - a halfway house on the way to full 5G -  are going to provide that robust infrastructure necessary for high-speed information processing, distributed computing, as well as many other applications that can be processed, analysed and managed - all in real time over a cloud computer-based IT platform. Ubiquitous access, enormous capacity, low latency, robustness and symmetric access, as well as the very high levels of reliability, quality and security, are all critical to the success of such a new communications environment.
The importance of access to infrastructure in these ICT developments is leading to convergence of what are still largely separate sectors (big data, IoT, M2M, cloud computing, data centres and telecoms wholesale). This will lead to mergers and acquisitions between the various companies involved in these activities, and winners and losers will be attached to this process; it will be a very dynamic and rapidly changing market over the next few years.

Social and economic developments are further accelerating, and as more organisations tap into this merged ICT space and more investments are made we will see further astonishing innovations emerge over the next few years.

Over time this will have a major impact on the economy. The emerging networked economy will become decentralised with more innovative new jobs and business opportunities being shared. Smart cities are going to play a key role in this new economy.
Given the current social, economic and political turbulence, it becomes clear that we seem to have reached a ceiling in the way we currently use our intellectual ability to address the complex issues that society is facing.

The need for increased intelligence will lead to a merging of human activities and machines, something that is becoming increasingly possible and is heading towards the broader concept of artificial intelligence (AI). Some of the predictions and scenarios discussed in this context are clearly wrong, and AI as described by the popular media is, if it really happens, at least a century away; nevertheless we are pushing the boundaries of our current level of intelligence capacity and, while most current predictions will lead to totally different outcomes, one thing is certain - things will change.

In the end it is all about people - smart people in charge of all of these processes. What is needed is a vision from the top and smart communities working from the bottom upwards.

Table of Contents

1. Trends and developments in data analytics
1.1 Smart Societies based on Big Data, Artificial Intelligence and Deep Learning
1.1.1 The proposition
1.1.2 Philosophy and science
1.1.3 Social and economic developments
1.1.4 Are we reaching another breaking point?
1.1.5 Solutions by using information technology to increase our intelligence
1.1.6 Examples of developments
1.1.7 Conclusion
1.2 The Big Data market in Australia
1.2.1 Big Data - Data Analytics
1.2.2 Key trends and Developments
1.2.3 Market Statistics and Surveys
2. Cloud technology trends and statistics 2015
2.1 Overview
2.1.1 The cloud computing revolution
2.1.2 Cloud computing for government
2.1.3 Cloud computing for enterprise
2.1.4 The complexities of cloud computing
2.1.5 Unified Communications (UC) and the cloud
2.1.6 Cloud computing market statistics
2.1.7 How to manage and secure big data
2.1.8 Cloud technology trends and opportunites
2.1.9 China - cloud computing and data centres
2.1.10 Conclusion
2.2 The cloud computing market in Australia
2.2.1 Introduction
2.2.2 New ICT platform
2.2.3 Following the customers
2.2.4 Market Statistics and Surveys
2.2.5 Government and cloud computing
2.2.6 Consumers and the cloud
2.2.7 Trends and Developments
2.2.8 Business issues
2.2.9 Major Operators
2.2.10 Cloud contact centres
3. Data centres in Australia
3.1 Market overview
3.2 The changing market of data centres - market analysis
3.2.1 Datacentre market - analysis mid-2015
3.2.2 The business concept of data centres
3.2.3 The broader market has changed
3.2.4 Changing technology environment
3.2.5 Selective outsourcing
3.2.6 Glimpses of the future
3.2.7 Infrastructure requirements
3.3 Trends and developments
3.3.1 Call centres to go digital
3.3.2 Software-defined data centres (SDD)
3.3.3 Trans-sector outsourcing - the way of the future - Analysis
3.3.4 Infrastructure Virtualisation technology
3.4 Market statistics and surveys
3.4.1 Data Centre expenditure 2015
3.4.2 Data centre survey 2014 - Forrester Consulting
3.4.3 Data Centre Services Market 2014 - Frost & Sullivan
3.5 Bandwidth on Demand
3.6 Internet Exchanges
3.6.1 Overview
3.6.2 Neutral IXs
3.7 Points of Interconnect (POI)
3.8 Network Attached Storage (NAS)
3.9 Major Players
3.9.1 Amazon Web Services
3.9.2 Anchor
3.9.3 Barracuda Networks
3.9.4 Digital Realty Trust
3.9.5 Elastichosts
3.9.6 Equinix
3.9.7 Fujitsu
3.9.8 Geraldton datacentre
3.9.9 GlobalCenter (owned by Datacom Systems)
3.9.10 Global Switch
3.9.11 Government Data Centre - Canberra
3.9.12 Hewlett-Packard
3.9.13 Hostworks
3.9.14 IBM
3.9.15 LiveOps
3.9.16 Macquarie Telecom
3.9.17 Metronode - Nextgen Networks
3.9.18 Microsoft Azure
3.9.19 Mimecast
3.9.20 Nexon Asia Pacific
3.9.21 NEXTDC
3.9.22 Optus data centre
3.9.23 Pacnet (now Telstra)
3.9.24 Port Melbourne
3.9.25 Rackspace
3.9.26 Oracle RightNow
3.9.27 SAP Hana datacentre in Sydney
3.9.28 Telstra
3.9.29 Verizon
3.9.30 Vocus Communications
3.9.31 YourDC - Adelaide
4. The Internet of Things and Machine to Machine communications
4.1 M2M, IoT- Key Trends
4.1.1 Analysis of the M2M and IoT market in 2015
4.1.2 Key issues that will make or break the M2M market
4.1.3 Internet of Things (IoT)
4.1.4 Who will dominate the IoT market?
4.1.5 IoT standardisation developments
4.1.6 Cyber-physical systems
4.1.7 Telcos and the science of Big Data
4.1.8 From SCaDa to IoT
4.1.9 Sensors
4.1.10 Radio-frequency identification (RFID)
4.1.11 Application examples
4.2 The IoT and M2M market in Australia
4.2.1 Market and Industry Analyses
4.2.2 Statistical information
4.2.3 Electricity companies and the M2M
4.2.4 Smart Factory - Industry 4.0
4.2.5 Communications Alliance IoT Think Tank
4.2.6 Smart Projects
4.2.7 Change in services driven by Sensing and monitoring information
4.3 LTE-A and 5G - a Glimpse into the Future
4.3.1 5G technologies and services
4.3.2 Recent developments
4.3.3 5G platform for M2M and IoT - smart homes and smart cities
4.3.4 Analysis - Moving from 4G to 5G
4.3.5 Conclusion: Will telcos be able to harness the new business opportunities of 5G?
Table 1 - Selection of predictions in BTs timeline
Table 2 - Global Platform as a Service (PaaS) revenue - 2014 - 2018
Table 3 - Global Software as a Service (SaaS) revenue - 2014 - 2018
Table 4 - Global enterprise spending on cloud services and infrastructure - 2011 - 2017
Table 5 - Government Cloud Computing examples
Table 6 - Datacentre revenue by type - 2011 - 2012; 2019
Table 7 - Global M2M module market- 2011; 2012; 2015; 2018
Table 8 - Global M2M connections - 2010 - 2015
Table 9 - Global spending on Big Data - 2013; 2018
Table 10 - Australias IoT home market
Table 11 - Telstra M2M statistics
Table 12 - Telstra M2M connections - 2009 - 2014
Table 13 - Telstra M2M revenue growth - 2011 - 2015
Exhibit 1 - From data analytics to Artificial Intelligence (AI)
Exhibit 2 - Watson in healthcare
Exhibit 3 - Real-time processing
Exhibit 4 - Watson - cognitive computing
Exhibit 5 - Key characteristics of contextual intelligence in customer service
Exhibit 6 - Definition: Cloud computing
Exhibit 7 - Amazon Web Services - a public cloud leader
Exhibit 8 - Examples of key cloud models
Exhibit 9 - Examples of government cloud projects
Exhibit 10 - Cloud principles
Exhibit 11 - Examples of recent enterprise cloud projects and development
Exhibit 12 - Planning Tool for Resource Integration, Synchronization, and Management (PRISM)
Exhibit 13 - IBM SmartCloud
Exhibit 14 - Cloud service enterprise survey highlights form an Infonetics report
Exhibit 15 - Pacnet
Exhibit 16 - The first major M2M alliances
Exhibit 17 - The OneM2M initiative
Exhibit 18 - Amazon Dash Button
Exhibit 19 - RFID spectrum frequencies and application examples
Exhibit 20 - Smart shopping
Exhibit 21 - Lifetime customer relationships
Exhibit 22 - Many Eyes - e-science web site example
Exhibit 23 - GigaPort3
Exhibit 24 - Design principles of industry 4.0
Exhibit 25 - The Power of 5G

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