世界の通信市場：主要トレンド（OTT、M2M、ビックデータ、クラウド）...市場調査レポートについてご紹介

1. Global Telecoms – A Transforming and Challenging Sector
1.1 The Top Global Trends for Telecoms
1.1.1 Cloud technology
1.1.2 Big Data and Smart Analytics
1.1.3 Data centres
1.1.4 Machine-to-Machine (M2M)
1.1.5 Over-The-Top (OTT) services and content
1.1.6 Further specific trends of note
1.1.7 Conclusion – The demand and supply imbalance in telecoms
1.2 OTT – The normal for the industry
1.2.1 Transforming the telecoms industry
1.2.2 Telcos have already lost the current OTT battle
1.2.3 The demand and supply imbalance in telecoms
1.2.4 Vested interests
1.2.5 The digital business buzzword is also ‘transformation’
1.2.6 What will be driving these new investments?
1.2.7 Hot sectors for OTT services
1.2.8 How to move forward?
2. Global Telecoms – Big Picture Statistics
2.1 Key Global Telecoms Statistics
2.1.1 Key global trends for telcoms industry
2.1.2 Global mobile key statistics
2.1.3 Global Internet key statistics
2.1.4 Global telecommunications expenditure and revenue
2.1.5 Global telecoms traffic
2.1.6 Satellite services
2.1.7 Ranking of top carriers
2.1.8 Conclusions
3. Specific Key Trends and Developments
3.1 M2M; Internet of Everything and Big Data
3.1.1 2014: touted as the year of M2M, but …
3.1.2 Internet of ‘Things’
3.1.3 Who will dominate the IoT market?
3.1.4 Telcos and the science of Big Data
3.1.5 From SCaDa to IoT
3.1.6 Sensors
3.1.7 RFID
3.1.8 Application examples
3.2 Data Centres
3.2.1 The changing market of data centres – market analysis
3.2.2 Key global data centre trends and statistics
3.2.3 Glimpses of the future
3.3 Customer Experience and Data Processing
3.3.1 Introduction: global telecoms market
3.3.2 Insights into global mobile churn
3.3.3 Case study – Orange
3.3.4 Customer experience key to the future of the retail market
3.3.5 Insights in global mobile ARPU
3.3.6 Insights into global mobile termination
3.3.7 Insights into global mobile roaming
3.3.8 The retail market needs to lift its game
3.3.9 Solution: high quality data and analytics
3.3.10 Contextual intelligence
3.3.11 Data analytic application examples
3.3.12 Business understands need for real-time processing
3.4 Cloud computing
3.4.1 The cloud computing revolution
3.4.2 Cloud computing for government
3.4.3 Cloud computing for enterprise
3.4.4 The complexities of cloud computing
3.4.5 Unified Communications (UC) and the cloud
3.4.6 Cloud computing market statistics
3.4.7 How to manage and secure big data
3.4.8 Other recent trends
3.4.9 Conclusion
Table 1 – Global investment in green data centres – 2012 – 2015
Table 2 – Global – telecom statistics at a glance – 2013; 2014
Table 3 – Global – mobile subscriptions and annual change – 2009 – 2014
Table 4 – Regional – mobile subscribers – 2009 – 2013
Table 5 – Global – mobile broadband market share by technology – Q1 2013
Table 6 – Regional – mobile broadband connections – Q1 2013
Table 7 – Top ten OECD countries by wireless broadband subscriptions – 2011; mid 2012
Table 8 – Global – Internet users and annual change – 2009 – 2014
Table 9 – Regional – market share of broadband subscribers – Q2 2012; Q1 2013
Table 10 – Global – fixed broadband subscribers and annual change – 2005 – 2014
Table 11 – Top ten broadband countries by subscribers – Q2 2012; Q1 2013
Table 12 – Top ten broadband countries by penetration –2012
Table 13 – Global – broadband market share by access technology – Mid 2010; Mid 2012; Q1 2013
Table 14 – Global – broadband subscribers by access technology – 2013
Table 15 – Global – telecoms capital expenditure (CAPEX) – 2008 – 2014
Table 16 – Global – mobile capital expenditure (CAPEX) – 2010 – 2014
Table 17 – Global – ICT spending – 2012 – 2015
Table 18 – Global – telecoms expenditure as a percentage of GDP – 1990; 2006; 2009; 2012
Table 19 – Global – telecoms services revenue – 2008 – 2014
Table 20 – Global – monthly mobile data traffic – 2000; 2011 – 2013
Table 21 – Regional – mobile data traffic growth – CAGR 2012 – 2017
Table 22 – Global – satellite industry revenue – 2008 – 2013
Table 23 – Global – satellite services revenue – 2003 – 2013
Table 24 – Global – mobile satellite devices – 2008; 2010; 2018
Table 25 – Top 16 major parent mobile carriers worldwide by subscribers – 2013
Table 26 – Top 10 major fixed-line parent carriers worldwide by subscribers – 2013
Table 27 – Global M2M connections – 2010; 2013; 2014
Table 28 – Global spending on Big Data – 2013; 2018
Table 29 – Global investment in green data centres – 2012 – 2015
Table 30 – Orange mobile customer churn – 2003 – 2014
Table 31 – Orange mobile customer acquisition costs – 2007 – 2013
Table 32 – Global average mobile monthly ARPU – 2005 – 2014
Table 33 – India – mobile ARPU by technology, prepaid/postpaid/blended – 2012
Table 34 – India – mobile ARPU by technology, prepaid/postpaid/blended – 2013
Table 35 – India – mobile ARPU (GSM and CDMA) – 2005 – 2013
Table 36 – United Kingdom – MTRs by operator (pence per minute) – 2010 – 2015
Table 37 – New Zealand – Telecom and Vodafone network termination rates – 2009 – 2014
Table 38 – Global average Mobile Termination Rates – 2009; 2011; 2013
Table 39 – Examples of Mobile Termination rates by region
Table 40 –Global mobile roaming revenue – 2000; 2012; 2018
Table 41 – Global Platform as a Service (PaaS) revenue – 2011 – 2014
Table 42 – Global Software as a Service (SaaS) spending – 2012 – 2014
Table 43 – Global enterprise spending on cloud services and infrastructure – 2011 – 2017
Chart 1 – Global – mobile subscriptions – 2009 – 2014
Chart 2 – Global – Internet users – 2009 – 2014
Chart 3 – Orange mobile customer acquisition costs – 2007 – 2013
Chart 4 – India – mobile ARPU (GSM and CDMA) – 2005-2013
Exhibit 1 – Healthcare monitoring for the elderly
Exhibit 2 – Telstra leading the global telco move towards the OTT model
Exhibit 3 – WCIT-12 disappoints, more work to be done
Exhibit 4 – Major global fixed satellite service operators
Exhibit 5 – The first major M2M alliances
Exhibit 6 – The OneM2M initiative
Exhibit 7 – Deutsche Telekom and PISA start smart city project
Exhibit 8 – Item-level RFID use
Exhibit 9 – RFID spectrum frequencies and application examples
Exhibit 10 – Smart shopping
Exhibit 11 – Lifetime customer relationships
Exhibit 12 – Many Eyes – e-science web site example
Exhibit 13 – GigaPort3
Exhibit 14 – Real-time processing
Exhibit 15 – Examples of large data centres around the world
Exhibit 16 – Virtualisation
Exhibit 17 – Summary of key global trends for data centres
Exhibit 18 – Google Data Centres
Exhibit 19 – Artificial Intelligence (AI)
Exhibit 20 – Carrier attributes churn to poor network coverage
Exhibit 21 – Mandated MTR reductions in Greece
Exhibit 22 – Bundling services in Europe
Exhibit 23 – Real-time processing
Exhibit 24 – Watson – cognitive computing
Exhibit 25 – Key characteristics of contextual intelligence in customer service
Exhibit 26 – Definition: Cloud computing
Exhibit 27 – Amazon Web Services – a public cloud leader
Exhibit 28 – Examples of key cloud models
Exhibit 29 – Examples of government cloud projects
Exhibit 30 – Cloud principles
Exhibit 31 – Examples of enterprise cloud projects
Exhibit 32 – Planning Tool for Resource Integration, Synchronization, and Management (PRISM)
Exhibit 33 – IBM SmartCloud