Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

News Feed Item

Research and Markets: China Enterprise Management Software Industry Report, 2012 - An Industry Dominated by SAP and Oracle

Research and Markets (http://www.researchandmarkets.com/research/h9q6sb/china_enterprise) has announced the addition of the "China Enterprise Management Software Industry Report, 2012" report to their offering.

According to China Enterprise Management Software Industry Report, 2012 released by SinoMarketInsight, till 2014, the market size of Chinese enterprise management software industry will surpass RMB 25 billion, with an annual growth rate of over 10%.

Management software is a field with the second largest output value in global software industry. In 2010, the market size of ERP software in management software reached as high as USD43 billion, only second to the market size USD60 billion of electronic games and more than the market size USD30.4 billion of Operating Systems. In 2011, the world's ERP software market size approximated USD46 billion, and the figure is expected to hit USD50.3 billion in 2015.

In China, the value of software has long been underestimated, which causes slow growth for the revenue of software companies. Among top 100 Chinese software companies, the strong ones are mostly the embedded software enterprises such as Huawei, ZTE and Digital China, whose majority of proceeds still come from hardware devices. With regard to IT investment, the software investment only account for 11% of IT investment currently in China, far lower than the global average 21% and the level 27% in the United States, letting alone the services. However, this also shows the room for growth of Chinese management software.

Chinese enterprise management software market can divide into high-end large enterprise management software market and small- and medium-sized enterprise management software market.

The high-end market is dominated by foreign software companies like SAP and Oracle, but large Chinese enterprise management software enterprises have made significant progress in such market, the gap of which with foreign peers being narrowed. Small- and medium-sized enterprise management software market is the field for Chinese enterprise fiercely compete, and the major consumer varieties of small- and medium-sized enterprises (SMEs) range from general ERP, OA system to independent financial management, business flow management and customer relationship management software. Over a decade of development, there have emerged a number of Chinese enterprise management software suppliers represented by Yonyou Software, Kingdee International, Digiwin Software, Inspur Software, etc.

The report involves four chapters and 114 charts covering the development of Chinese enterprise management software industry during 2010-2012 and the operational performance of 12 leaders in the industry.

Key Topics Covered:

1 Overview of Enterprise Management Software Industry

1.1 Market Segments

1.2 Basic Industrial Features

1.3 Development Trend

2 Status Quo of Chinese Enterprise Management Software Industry

2.1 SME Management Software Market

2.2 ERP

2.3 ERP Implementation

2.4 Collaborative Software

2.5 Electronic Declaration

3 Relevant Policies

4 Key Chinese Companies

- Yonyou Software

- Kingdee International

- Digital China

- Glodon Software

- Shiji Information

- Ygsoft

- Inspur Software

- Rongji Software

- Join-cheer Software

- Qiming Information

- Digiwin Software

- Hand Enterprise Solutions

For more information visit http://www.researchandmarkets.com/research/h9q6sb/china_enterprise

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
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...
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 ...
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...
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...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...