Welcome!

News Feed Item

T&D Infrastructure Market in China 2014-2018

NEW YORK, Aug. 27, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

T&D Infrastructure Market in China 2014-2018

http://www.reportlinker.com/p02316676/TD-Infrastructure-Market-in-China-2014-2018.html

Abstract
About Transmission and Distribution Infrastructure
China is one of the fastest growing economies in the world with burgeoning electricity demand and consumption. The rate at which renewable energy is integrated into the Power sector over the next decade will necessitate the significant level of investment to replace, upgrade, and expand the transmission and distribution infrastructure in China. SGCC and CSG are the two state-owned companies that operate and maintain six regional grids and are responsible for the transmission and distribution infrastructure in China.
TechNavio's analysts forecast the Transmission and Distribution Infrastructure market in China to grow at a CAGR of 9.3 percent over the period 2013-2018.

Covered in this Report
The Transmission and Distribution Infrastructure market in China covers information on transmission and distribution line length, transformer capacity, and line losses. Transmission lines have been further classified into three segments: Ultra High Voltage (UHV), Extra High Voltage (EHV), and High Voltage (HV) Lines.
TechNavio's report, the Transmission and Distribution Infrastructure Market in China 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the landscape of the Transmission and Distribution Infrastructure market in China and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.

Key Vendors
- ABB (China)
- Alstom
- China XD Electric
- Schneider Electric
- Siemens
- Sunten Electric

Other Prominent Vendors

- Delixi
- Honeywell
- GE
- Guodian Nanjing Automation

Market Driver
- Geographical Mismatch of Energy Sources
- For a full, detailed list, view our report

Market Challenge
- Lack of Unified National Grid
- For a full, detailed list, view our report

Market Trend
- Long Distance Power Transmission
- For a full, detailed list, view our report

Key Questions Answered in this Report
- What will the market size be in 2018 and what will the growth rate be?
- What are the key market trends?
- What is driving this market?
- What are the challenges to market growth?
- Who are the key vendors in this market space?
- What are the market opportunities and threats faced by the key vendors?
- What are the strengths and weaknesses of the key vendors?

01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Market Overview

06.2 Market Size and Forecast
06.2.1 Transmission Infrastructure in China
06.2.2 Distribution Infrastructure in China
06.2.3 Transformer Capacity in China
06.3 Five Forces Analysis
07. Market Segmentation by Voltage levels
07.1 Transmission Infrastructure in China 2013-2018
07.2 Transmission Infrastructure in China by UHV Segment
07.2.1 Market Size and Forecast
07.3 Transmission Infrastructure in China by EHV
07.3.1 Market Size and Forecast
07.4 Transmission Infrastructure in China by HV
07.4.1 Market Size and Forecast
08. Buying Criteria
09. Market Growth Drivers
10. Drivers and their Impact
11. Market Challenges
12. Impact of Drivers and Challenges
13. Market Trends
14. Trends and their Impact
15. Vendor Landscape

15.1 Competitive Scenario
15.2 Other Prominent Vendors
16. Key Vendor Analysis
16.1 ABB Group
16.1.1 Business Overview
16.1.2 Business Segmentation
16.1.3 Revenue by Business Segment
16.1.4 SWOT Analysis
16.2 Alstom SA
16.2.1 Business Overview
16.2.2 Revenue by Business Segmentation
16.2.3 SWOT Analysis
16.3 Schneider Electric
16.3.1 Business Overview
16.3.2 Revenue by Business Segmentation
16.3.3 SWOT Analysis
16.4 Siemens
16.4.1 Business Overview
16.4.2 Business Segmentation
16.4.3 SWOT Analysis
16.5 China XD Electric
16.5.1 Business Overview
16.5.2 Product Segmentation
16.5.3 SWOT Analysis
16.6 Sunten Electric
16.6.1 Business Overview
16.6.2 Product Segmentation
16.6.3 Key Information
16.6.4 SWOT Analysis
17. Other Reports in this Series

List of Exhibits

Exhibit 1: Market Research Methodology
Exhibit 2: Transmission Infrastructure in China 2013-2018 (Ckm)
Exhibit 3: Distribution Infrastructure in China 2013-2018 (Ckm)
Exhibit 4: Transformer Capacity of China 2013-2018 (GVA)
Exhibit 5: Transmission Infrastructure in China 2013-2018
Exhibit 6: Transmission infrastructure in China by UHV 2013-2018 (Ckm)
Exhibit 7: Transmission infrastructure in China by EHV 2013-2018 (Ckm)
Exhibit 8: Transmission infrastructure in China by HV 2013-2018 (Ckm)
Exhibit 9: Trend of losses in China 2010-2018
Exhibit 10: Investments in Power sector in China 2012
Exhibit 11: Business Segments of ABB Group
Exhibit 12: Revenue by Business Segment of ABB Group 2013
Exhibit 13: Revenue by Business Segmentation of Alstom SA
Exhibit 14: Revenue of Alstom Group by Geographical Segmentation 2011-2013
Exhibit 15: Revenue by Business Segmentation of Schneider Electric 2013
Exhibit 16: Business Segmentation of Siemens
Exhibit 17: China Electric segmentation by Products 2013
Exhibit 18: Sunten Electric Segmentation by Products 2013

To order this report: T&D Infrastructure Market in China 2014-2018
http://www.reportlinker.com/p02316676/TD-Infrastructure-Market-in-China-2014-2018.html

__________________________
Contact Clare: [email protected]
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.