Welcome!

@CloudExpo Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Zakia Bouachraoui, Liz McMillan

News Feed Item

Global Travel and Expense Management Software Market 2012-2016

LONDON, Feb. 5, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:

Global Travel and Expense Management Software Market 2012-2016

TechNavio's analysts forecast the Global Travel and Expense Management Software market to grow at a CAGR of 6.16 percent over the period 2012-2016. One of the key factors contributing to this market growth is the need to reduce travel expenses and operational costs. The Global Travel and Expense Management Software market has also been witnessing the emergence of SaaS-based travel and expense management software. However, the high cost of implementation could pose a challenge to the growth of this market.

TechNavio's report, Global Travel and Expense Management Software Market 2012-2016, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, and the EMEA and APAC regions; it also covers the Global Travel and Expense Management Software market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

The key vendors dominating this market space include are Technologies Inc., Infor Global Solutions Inc.; KDS AG, and SAP AG.

The other vendors mentioned in the report are Automatic Data Processing, Inc., Certify, LLC, CyberShift Inc., Ellucian Company L.P, Expense On Demand, IBM Corp., Nexstep Infotech Pvt. Ltd., Oracle Corp., and Replicon Inc.

Key questions answered in this report:

What will the market size be in 2016 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 these key vendors?
You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.

Methodology

Research methodology is based on extensive primary and secondary research. Primary research includes in-depth interviews with industry experts, vendors, resellers and customers. Secondary research includes Technavio Platform, industry publications, company reports, news articles, analyst reports, trade associations and the data published by Government agencies.
01. Executive Summary
02. Scope of the Report
02.1 Market Overview
02.2 Product Offerings
03. Market Research Methodology
03.1 Market Research Process
03.2 Research Design
03.3 Research Methodology
04. List of Abbreviations
05. Introduction
06. Market Landscape
06.1 Market Overview
06.2 Market Size and Forecast
06.2.1 Market Size and Forecast of Expense Management Software Market
06.2.2 Market Size and Forecast of Travel Management Software Market
06.3 Five Forces Analysis
07. Market Segmentation by Deployment Model
07.1 Global Travel and Expense Management Software Market by Deployment Model 2012
08. Geographical Segmentation
08.1 Global Travel and Expense Management Software Market by Geographical Segmentation 2012-2016
08.2 Travel and Expense Management Software Market in the APAC Region
08.2.1 Market Size and Forecast
08.3 Travel and Expense Management Software Market in the EMEA Region
08.3.1 Market Size and Forecast
08.4 Travel and Expense Management Software Market in the Americas
08.4.1 Market Size and Forecast
09. Key Leading Countries
09.1 USA
09.2 Germany
09.3 Japan
10. Buying Criteria
11. Market Growth Drivers
12. Drivers and their Impact
13. Market Challenges
14. Impact of Drivers and Challenges
15. Market Trends
16. Trends and their Impact
17. Vendor Landscape
17.1 Competitive Scenario
17.1.1 Key News
17.2 Market Share Analysis 2012
17.3 Other Prominent Vendors
18. Key Vendor Analysis
18.1 Concur Technologies, Inc.
18.1.1 Business Overview
18.1.2 Revenue Segmentation of Concur Technologies Inc. by Geography
18.1.3 Revenue Segmentation by Company Size
18.1.4 Business Segmentation
18.1.5 Key Information
18.1.6 SWOT Analysis
18.2 Infor Global Solutions Inc.
18.2.1 Business Overview
18.2.2 Revenue Segmentation of Infor by Geography
18.2.3 Revenue Segmentation by Company's Size
18.2.4 Business Segmentation
18.2.5 Key Information
18.2.6 SWOT Analysis
18.3 KDS AG
18.3.1 Business Overview
18.3.2 Revenue Segmentation by Company Size
18.3.3 Business Segmentation
18.3.4 Key Information
18.3.5 SWOT Analysis
18.4 SAP A.G
18.4.1 Business Overview
18.4.2 Revenue Segmentation of SAP by Geography
18.4.3 Revenue Segmentation by Company Size
18.4.4 Business Segmentation
18.4.5 Key Information
18.4.6 SWOT Analysis
19. Other Reports in this Series

List of Exhibits

Exhibit 1: Market Research Methodology
Exhibit 2: Business Models of Travel and Expense Management
Exhibit 3: Global Travel and Expense Management Software Market 2012-2016 (US$ billion)
Exhibit 4: Global Expense Management Software Market 2012-2016 (US$ billion)
Exhibit 5: Global Travel Management Software Market 2012-2016 ( US$ billion)
Exhibit 6: Global Travel and Expense Management Software market by Deployment Model 2012
Exhibit 7: Present and Future Growth Prospect of Deployment Model
Exhibit 8: Geographical Segmentation of Travel and Expense Management Software Market in 2012
Exhibit 9: Travel and Expense Management Software market in APAC 2012 (US$ billion)
Exhibit 10: Travel and Expense Management Software Market in the EMEA Region (US$ billion)
Exhibit 11: Travel and Expense Management Software Market in The Americas (US$ billion)
Exhibit 12: Revenue Segmentation by Geography
Exhibit 13: Revenue Segmentation
Exhibit 14: Business Segmentation of Concur Technologies Inc.
Exhibit 15: Revenue Segmentation by Geography
Exhibit 16: Revenue Segmentation by Company's size
Exhibit 17: Business Segmentation of Infor Global Solutions Inc.
Exhibit 18: Revenue Segmentation by Company Size
Exhibit 19: Business Segmentation of KDS AG
Exhibit 20: Revenue Segmentation by Geography
Exhibit 21: Revenue Segmentation by Company Size
Exhibit 22: Business Segmentation of SAP A.G

Read the full report:
Global Travel and Expense Management Software Market 2012-2016
http://www.reportbuyer.com/leisure_media/tourism_travel/global_travel_expense_management_software_market_2012_2016.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Travel_Services

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]  
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

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.

CloudEXPO Stories
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, Alex Lovell-Troy, Director of Solutions Engineering at Pythian, presented a roadmap that can be leveraged by any organization to plan, analyze, evaluate, and execute on moving from configuration management tools to cloud orchestration tools. He also addressed the three major cloud vendors as well as some tools that will work with any cloud.
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, insiders, government compulsion, and network hackers? Join Ambuj Kumar (CEO, Fortanix) to discuss best practices and technologies for enterprises to securely transition to a multi-cloud hybrid world.
With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right provider and with the proper expectations. In his session at 18th Cloud Expo, Christo Kutrovsky, a Principal Consultant at Pythian, compared the NoSQL and SQL offerings from AWS, Microsoft Azure and Google Cloud, their similarities, differences and use cases for each one based on client projects.
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Big Data teams at Autodesk. He is a contributing author of book on Azure and Big Data published by SAMS.