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Smart Cities: Global Outlook and Forecasts 2014 - 2019

Smart Cities: Global Outlook and Forecasts 2014 - 2019

A large percentage of the global population lives in an urban environment, a rapidly accelerating trend that is taxing the resources and management capabilities of city governments. In addition, the enhanced mobility of modern society has created extreme competition between cities to attract skilled residents, corporations, and related jobs.

Smart Cities are much more than just an effort by sovereign nations to modernize their infrastructure – they are a focal point for growth drivers in several key ICT areas including: M2M/IoT, Connected Devices, Broadband Wireless, Cloud Computing, Big Data and Analytics. Smart City developments are causing many technologies and solutions to integrate with convergence seen across with many resource areas including energy, water, sanitation, and other essential services.

There are many technologies involved in support of Smart Cities. Systems and resources are intertwined as mobility, communications, energy, water, platforms, monitoring/control, performance management, predictability and forecasting all merge together. This convergence is being realized first in a few leading industries such as home entertainment and automobiles.

Mind Commerce forecasts that growth in certain related solutions and services areas will realize a blistering pace such as Connected Car Systems, which are expected to see growth of 67% CAGR from 2014 through 2019. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Telecom service providers
Telecom equipment providers
Global infrastructure suppliers
Communications component providers
Cloud services and datacenter companies
Smartgrid and energy management companies
Big data, analytics, and information processing companies
Sovereign investment funds, hedge funds and private equity

Report Benefits:

Smart City forecasts 2014 – 2019
Identify opportunities for ICT vendors
Identify the market drivers for Smart Cities
Understand the technologies supporting Smart Cities
Understand the impact of Smart Cities on ICT evolution

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Executive Summary
2.0 Introduction
2.1 What Is Smart City
2.2 Market Drivers For Smart Cities
2.3 Smart City Supporting Technologies
2.4 Smart Cities And The Internet Of Things (Iot)
3.0 Smart City Planning
3.1 Urban Development
3.2 Utilities And Smart Grids
3.3 Telecom Infrastructure
4.0 Smart City Companies And Solutions
4.1 Abb
4.2 Accenture
4.3 Alcatel Lucent
4.4 Cisco Systems
4.5 Cubic
4.6 Honeywell
4.7 Ibm
4.8 Intel
4.9 Oracle
4.10 Siemens Ag
5.0 Smart City Impact On Industry Verticals
5.1 Telecom And Smart Home
5.2 Energy Management
5.3 Industrial Automation
5.4 Transportation
5.5 Security
6.0 Global Smart City Investment, Planning And Projects
6.1 Asia Pacific
6.2 Europe
6.3 North America
6.4 South America
7.0 Market Outlook And Forecasting
7.1 Global Metropolitan Growth And Smart City Investments
7.2 Smart Home Revenue 2014 - 2019
7.3 Connected Consumer Devices 2014 - 2019
7.4 Forecasting The Internet Of Things (Iot) In The Smart City Impact
8.0 Conclusions And Recommendations
8.1 Ecosystem Impact
8.2 Need For Citizen Engagement And Technology Collaboration
8.3 Constituent Collaboration
8.4 Final Conclusions
Figures
Figure 1: Smart City Concept
Figure 2: Smart City Participants
Figure 3: HetNet Topology
Figure 4: WiMAX Communications
Figure 5: Smart City Infrastructure
Figure 6: ABB Smart City Offerings
Figure 7: Accenture Smart City Offerings
Figure 8: Trends and Smart City Future
Figure 9: Smart City Market Sizing
Figure 10: Smart City Investment Asia Pac 2014 - 2023
Tables
Table 1: Global Consumer Smart Home Products & Services Revenue 2014 - 2019
Table 2: Global Households, Broadband, and Smart Homes 2014 - 2019
Table 3: Global Connected Consumer Device Revenue by Type 2014 - 2019
Table 4: Global Internet of Things Objects 2014 - 2019

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