Welcome!

News Feed Item

The Future of Retailing in Asia Pacific to 2017

LONDON, Jan. 6, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:

The Future of Retailing in Asia Pacific to 2017

Product Synopsis
- Future forecasts and historic market data can improve market and strategic planning.
- Understand which channels and products will be the major winners and losers in the coming years.
- Know the share of sales between different products in your key channels and how this will develop.
- Assess the impact of economic recession and recovery on market growth.

Introduction and Landscape
Why was the report written?
"The Future of Retailing in Asia Pacific to 2017" is based upon an extensive, cross-country, industry research program which brings together Canadean's research, modelling and analysis expertise in order to develop uniquely detailed market data. It provides detailed quantitative analysis of past and future trends, crucially providing retail sales data not just by channel and by product, but showing product sales through different channels. This allows marketers interested in retailing to determine how to account for the development of the retail trade overall and to know which channels are showing growth for which products in the coming years. It aims to capture the shift to new channels depending on the country, the effects of recession, and shifting consumer behaviour thereby providing timely, highly comparable analysis of the retail markets. Data sets are provided for 2007 through to 2017, with actuals being provided for 2012. All initial market sizing and analysis is conducted in local currency in order to ensure that local trends are reflected in the data before conversion into other currencies.

What are the key drivers behind recent market changes?
Consumers have been reacting to the effects of the global recession including the following recovery period on their discretionary spending and retail markets have been no exception. While the country by country market changes have varied, nowhere has been left totally untouched. This report quantitatively examines the components of change in the market by looking at historic and future growth patterns including how changes in consumers' behaviour have affected the retail sector for different product categories and channels.

What makes this report unique and essential to read?
This report provides detailed data on the size and development of retail sales of individual product types through specific retail channels and formats in Asia-Pacific. It provides a detailed and comprehensive quantitative analysis of the trends affecting market development through both historic and forecast data.

Key Features and Benefits
Category coverage is provided to cover 25 products, across eight product groups that include: Apparel, Accessories and Luxury Goods, Books, News and Stationery, Electricals and Electronics, Food and Grocery, Furniture and Floor Coverings, Home and Garden Products, Music, Video and Entertainment Software, and Sports and Leisure Equipment.

Channel coverage is provided to cover 17 channels, across four channel groups that include: General Retailers, Specialist Retailers, Value Retailers, and Online Retailers.

Forecasts allow marketers to understand the future pattern of market trends, from winners and losers to category and channel dynamics, and thereby quickly and easily identify the key areas in which they want to compete in the future.

Key Highlights
China and Japan continue to dominate Asia-Pacific retail sales. Their combined share is expected to increase from over 62% in 2007 to over 72% by 2017.

Retail sales in the developing economies of China and India are expected to grow in double digits annually over the forecast period.

Australia, Japan, and New Zealand, occupy the top three ranks in terms of per-capita retail spend in the region in 2012.

Table of Contents

1 Introduction
1.1 What is this Report About?
1.2 Definitions
1.2.1 This report provides 2012 actual sales; while forecasts are provided for 2013 - 2017
1.2.2 Product and Channel Definitions
1.2.3 Country Coverage
1.3 Summary Methodology
1.3.1 Overview
1.3.2 The triangulated market sizing method
1.3.3 Industry surveys in the creation of retail market data
1.3.4 Quality control and standardized processes
2 Asia Pacific: Retail Sales Overview
2.1 Retail Channels Overview
2.2 Retail Categories Overview
2.3 Asia Pacific: Country Overview
2.3.1 Channel Share by Country
2.3.2 Retail Sales by Country
2.3.3 Per-Capita spend
3 Asia Pacific: Channel Analysis
3.1 General Retailers Group Overall
3.1.1 Convenience stores (including Independents) and gas stations Sales by Country
3.1.2 Convenience stores (including Independents) and gas stations by per capita spend by Country
3.1.3 Convenience stores (including Independents) and gas stations by product sales
3.1.4 Department stores Sales by Country
3.1.5 Department stores by per capita spend by Country
3.1.6 Department stores by product sales
3.1.7 Hypermarkets, supermarkets and hard-discounters Sales by Country
3.1.8 Hypermarkets, supermarkets and hard-discounters by per capita spend by Country
3.1.9 Hypermarkets, Supermarkets and Hard-Discounters by product sales
3.1.10 Other General and non-Specialist Direct Retailers Sales by Country
3.1.11 Other General and Non-Specialist Direct Retailers by per capita spend by Country
3.1.12 Other General and Non-Specialist Direct Retailers by product sales
3.1.13 Vending machines Sales by Country
3.1.14 Vending machines by per capita spend by Country
3.1.15 Vending machines by product sales
3.2 Specialist Retailers Group Overall
3.2.1 Clothing, footwear, accessories and luxury goods specialists Sales by Country
3.2.2 Clothing, footwear, accessories and luxury goods specialists by per capita spend by Country
3.2.3 Clothing, footwear, accessories and luxury goods specialists by product sales
3.2.4 Drug stores and health and beauty stores Sales by Country
3.2.5 Drug stores and health and beauty stores by per capita spend by Country
3.2.6 Drug stores and health and beauty stores by product sales
3.2.7 Duty Free retailers Sales by Country
3.2.8 Duty Free retailers by per capita spend by Country
3.2.9 Duty free retailers by product sales
3.2.10 Electrical and electronics specialists Sales by Country
3.2.11 Electrical and electronics specialists by per capita spend by Country
3.2.12 Electricals and electronics specialists by product sales
3.2.13 Food and drinks specialists Sales by Country
3.2.14 Food and drinks specialists by per capita spend by Country
3.2.15 Food and drinks specialists by product sales
3.2.16 Home furniture and homewares retailers Sales by Country
3.2.17 Home furniture and homewares retailers by per capita spend by Country
3.2.18 Home furniture and homewares Retailers by product sales
3.2.19 Home improvement and gardening supplies retailers Sales by Country
3.2.20 Home improvement and gardening supplies retailers by per capita spend by Country
3.2.21 Home improvement and gardening supplies retailers by product sales
3.2.22 Music, video, book, stationery and entertainment software specialists Sales by Country
3.2.23 Music, video, book, stationery and entertainment software specialists by per capita spend by Country
3.2.24 Music, video, book, stationery, and entertainment software specialists by product sales
3.2.25 Other specialist retailers Sales by Country
3.2.26 Other specialist retailers by per capita spend by Country
3.2.27 Other specialist retailers by product sales
3.3 Online retailing Overall
3.3.1 Online retailing Sales by Country
3.3.2 Online retailing by per capita spend by Country
3.3.3 Online retailing by product sales
3.4 Value Retailers Group Overall
3.4.1 Cash and Carries and Warehouse Clubs Sales by Country
3.4.2 Cash and Carries and Warehouse Clubs by per capita spend by Country
3.4.3 Cash and Carries and Warehouse Clubs by product sales
3.4.4 Value, variety stores and general merchandise retailers Sales by Country
3.4.5 Value, variety stores and general merchandise retailers by per capita spend by Country
3.4.6 Value, Variety Stores, and General Merchandise Retailers by product sales
4 Appendix
4.1 About Canadean
4.2 Disclaimer

List of Tables

Table 1: Exchange Rate (Annual Average) 2007-2012
Table 2: Exchange Rate (Annual Average) 2013-2017 (Forecast)
Table 3: Canadean Retail Channel Definitions
Table 4: Canadean Retail Category Definitions
Table 5: Canadean Retail Country Coverage
Table 6: Asia Pacific: Overall Retail Sales (US$ bn), by Channel Group, 2007-2012
Table 7: Asia Pacific: Overall Retail Sales Forecast (US$ bn), by Channel Group, 2012-2017
Table 8: Asia Pacific: Overall Retail Segmentation (% value), by Channel Group, 2007-2017
Table 9: Asia Pacific: Overall Retail Sales (US$ bn), by Channel Group, 2007-2012
Table 10: Asia Pacific: Overall Retail Sales (US$ bn), by Channel Group, 2012-2017
Table 11: Asia Pacific: Overall Retail Segmentation (% value), by Category Group, 2007-2017
Table 12: Asia Pacific: Channel Share (%), By Country (1 of 2), 2012
Table 13: Asia Pacific: Channel Share (%), By Country (2 of 2), 2012
Table 14: : Asia Pacific: Retail Sales (US$ billion), By Country, 2007-2012
Table 15: Asia Pacific: Retail Sales Forecasts (US$ billion), By Country, 2012-2017
Table 16: Asia Pacific: Retail Sales (% Share), By Country, 2007-2012
Table 17: Asia Pacific: Retail Sales (% Share), By Country, 2012-2017
Table 18: : Asia Pacific: Per Capita Retail Spending (US$), by Country, 2007-2012
Table 19: Asia Pacific: Forecast Per Capita Retail Spending (US$), by Country, 2012-2017
Table 20: Asia Pacific: Retail Sales through General Retailers Group (US$ million), By Country, 2007-2012
Table 21: Asia Pacific: Retail Sales through General Retailers Group Forecasts (US$ million), By Country, 2012-2017
Table 22: Asia Pacific: Per Capita Retail Spending through General Retailers Group (US$), by Country, 2007-2012
Table 23: Asia Pacific: Forecasts Per Capita Retail Spending through General Retailers Group (US$), by Country, 2012-2017
Table 24: Asia Pacific: Convenience stores (including Independents) and gas stations Sales (US$ million), By Country, 2007-2012
Table 25: Asia Pacific: Convenience stores (including Independents) and gas stations Sales Forecasts (US$ million), By Country, 2012-2012
Table 26: Asia Pacific: Per Capita Retail Convenience stores (including Independents) and gas stations by per Capita spend (US$), by Country, 2007-2012
Table 27: Asia Pacific: Forecast per capita Retail Spending through Convenience stores (including Independents) and gas stations by (US$), By Country, 2012-2017
Table 28: Asia Pacific: Retail Sales through Convenience stores (including Independents) and gas stations (US$ million), by Category, 2007-2012
Table 29: Asia Pacific: Retail Sales Forecast through Convenience stores (including Independents) and gas stations (US$ million), by Category, 2012-2017
Table 30: Asia Pacific: Retail Sales through Department stores (US$ million), By Country, 2007-2017
Table 31: Asia Pacific: Retail Sales through Department stores Forecasts (US$ million), By Country, 2012-2017
Table 32: Asia Pacific: Per Capita Retail Spending through Department stores (US$), by Country, 2007-2012
Table 33: : Asia Pacific: Forecast Per Capita Retail Spending through Department stores (US$), By Country, 2012-2017
Table 34: Asia Pacific: Retail Sales through Department Stores (US$ million), by Category, 2007-2017
Table 35: : Asia Pacific: Retail Sales Forecast through Department Stores (US$ million), by Category, 2012-2017
Table 36: Asia Pacific: Retail Sales through Hypermarkets, Supermarkets and Hard-Discounters (US$ million), By Country, 2007-2012
Table 37: Asia Pacific: Retail Sales through Hypermarkets, Supermarkets and Hard-Discounters Forecasts (US$ million), By Country
Table 38: : Asia Pacific: Per Capita Retail Spending through Hypermarkets, Supermarkets and Hard-Discounters (US$), by Country 2007-2012
Table 39: Asia Pacific: Forecast Per Capita Retail Spending through Hypermarkets, Supermarkets and Hard-Discounters (US$), by Country, 2012-2017
Table 40: : Asia Pacific: Retail Sales through Hypermarkets, Supermarkets and Hard-Discounters (US$ million), by Category, 2007-2012
Table 41: : Asia Pacific: Retail Sales Forecast through Hypermarkets, Supermarkets and Hard-Discounters (US$ million), by Category, 2012-2017
Table 42: Asia Pacific Retail Sales through Other General and Non-Specialist Direct Retailers (US$ million), By Country, By 2007-2012
Table 43: Asia Pacific: Retail Sales through Other General and Non-Specialist Direct Retailers Forecasts (US$ million), By Country, 2012-2017
Table 44: Asia Pacific: Per Capita Retail Spending through Other General and Non-Specialist Direct Retailers (US$), by Country, 2012-2017
Table 45: Asia Pacific: Forecast Per Capita Retail Spending through Other General and Non-Specialist Direct Retailers (US$), by Country, 2012-2017
Table 46: : Asia Pacific: Retail Sales through Other General and Non-Specialist Direct Retailers (US$ Million), by Category, 2007-2012
Table 47: Asia Pacific: Retail Sales Forecast through Other General and Non-Specialist Direct Retailers (US$ Million), by Category, 2012-2017
Table 48: : Asia Pacific: Retail Sales through Vending machines (US$ million), By Country, 2007-2017
Table 49: Asia Pacific: Retail Sales through Vending machines Forecasts (US$ million), By Country, 2012-2017
Table 50: Asia Pacific: Per Capita Retail Spending through Vending machines (US$), by Country, 2007-2012
Table 51: Asia Pacific: Forecast Per Capita Retail Spending through Vending machines (US$), by Country, 2012-2017
Table 52: : Asia Pacific: Retail Sales through Vending Machines (US$ Million), by Category, 2007-2012
Table 53: Asia Pacific: Retail Sales Forecast through Vending Machines (US$ Million), by Category, 2012-2017
Table 54: : Asia Pacific: Retail Sales through Specialist Retailers Group (US$ million), By Country, 2007-2012
Table 55: Asia Pacific: Retail Sales through Specialist Retailers Group Forecasts (US$ million), By Country, 2012-2017
Table 56: Asia Pacific: : Per Capita Retail Spending through Specialist Retailers Group (US$), by Country, 2007-2012
Table 57: Asia Pacific Forecast Per Capita Retail Spending through Specialist Retailers Group (US$), by Country, 2012-2017
Table 58: : Asia Pacific: Retail Sales through Clothing, footwear, accessories and luxury goods specialists (US$ million), By Country, 2007-2012
Table 59: Asia Pacific: Retail Sales through Clothing, footwear, accessories and luxury goods specialists Forecasts (US$ million), By Country, 2012-2017
Table 60: Asia Pacific: Per Capita Retail Spending through Clothing, footwear, accessories and luxury goods specialists (US$), by Country, 2007-2012
Table 61: Asia Pacific: Forecast Per Capita Retail Spending through Clothing, footwear, accessories and luxury goods specialists (US$), by Country, 2012-2017
Table 62: : Asia Pacific: Retail Sales through Clothing, Footwear, Accessories and Luxury Goods Specialists (US$ Million), by Category, 2007-2012
Table 63: : Asia Pacific: Retail Sales Forecast through Clothing, Footwear, Accessories and Luxury Goods Specialists (US$ Million), by Category, 2012-2017
Table 64: Asia Pacific Retail Sales through Drug stores and health and beauty stores (US$ million), By Country, 2007-2012
Table 65: Asia Pacific: Retail Sales through Drug stores and health and beauty stores Forecasts (US$ million), By Country, 2012-2017
Table 66: Asia Pacific: Per Capita Retail Spending through Drug stores and health and beauty stores (US$), by Country, 2007-2012
Table 67: Asia Pacific: Forecast Per Capita Retail Spending through Drug stores and health and beauty stores (US$), by Country, 2012-2017
Table 68: : : Asia Pacific: Retail Sales through Drug Stores and Health and Beauty Stores (US$ Million),, by Category, 2007-2012
Table 69: Asia Pacific: Retail Sales Forecast through Drug Stores and Health and Beauty Stores (US$ Million), by Category, 2012-2017
Table 70: : Asia Pacific: Retail Sales through Duty free retailers (US$ million), By Country, 2007-2012
Table 71: Asia Pacific: Retail Sales through Duty free retailers Forecasts (US$ million), By Country, 2012-2017
Table 72: : Asia Pacific: : Per Capita Retail Spending through Duty free retailers (US$), by Country, 2007-2012
Table 73: Asia Pacific: Forecast Per Capita Retail Spending through Duty free retailers (US$), by Country, 2012-2017
Table 74: : Asia Pacific: Retail Sales through Duty Free Retailers (US$ million), by Category, 2007-2012
Table 75: Asia Pacific: Retail Sales Forecast through Duty Free Retailers (US$ million), by Category, 2007-2012
Table 76: : Asia Pacific: : Retail Sales through Electricals and electronics specialists (US$ million), By Country,, 2007-2012
Table 77: : Asia Pacific: Retail Sales through Electricals and electronics specialists Forecasts (US$ million), By Country, 2012-2017
Table 78: Asia Pacific: Per Capita Retail Spending through Electricals and electronics specialists (US$), by Country, 2007-2012
Table 79: : Asia Pacific: Forecast Per Capita Retail Spending through Electricals and electronics specialists (US$), by Country, 2012-2017
Table 80: Asia Pacific: Retail Sales through Electricals and Electronics Specialists (US$ Million), by Category, 2007-2012
Table 81: Asia Pacific: Retail Sales Forecast through Electricals and Electronics Specialists (US$ Million), by Category 2012-2017
Table 82: Asia Pacific: Retail Sales through Food and drinks specialists (US$ million), By Country, 2007-2012
Table 83: : Asia Pacific: Retail Sales through Food and drinks specialists Forecasts (US$ million), By Country 2012-2017
Table 84: Asia Pacific: Per Capita Retail Spending through Food and drinks specialists (US$), by Country, 2007-2012
Table 85: : Asia Pacific: Forecast Per Capita Retail Spending through Food and drinks specialists (US$), by Country, 2012-2017
Table 86: Asia Pacific: Retail Sales through Food and Drinks Specialists (US$ Million), by Category,, 2007-2012
Table 87: : : Asia Pacific: Retail Sales Forecast through Food and Drinks Specialists (US$ Million), by Category, 2007-2012
Table 88: Asia Pacific: Retail Sales through Home furniture and homewares Retailers (US$ million), By Country, 2007-2012
Table 89: Asia Pacific: Retail Sales through Home furniture and homewares Retailers Forecasts (US$ million), By Country, 2012-2017
Table 90: Asia Pacific: : Per Capita Retail Spending through Home furniture and homewares Retailers (US$), by Country, 2007-2012
Table 91: Asia Pacific: Forecast Per Capita Retail Spending through Home furniture and homewares Retailers (US$), by Country, 2012-2017
Table 92: Asia Pacific: Retail Sales through Home furniture and homewares Retailers (US$ Million), by Category, 2007-2012
Table 93: Asia Pacific: Retail Sales Forecast through Home furniture and homewares Retailers (US$ Mllion), by Category, 2007-2012
Table 94: Asia Pacific: Retail Sales through Home improvement and gardening supplies retailers (US$ million), By Country, 2007-2012
Table 95: Asia Pacific: Retail Sales through Home improvement and gardening supplies retailers Forecasts (US$ million), By Country, 2012-2017
Table 96: Asia Pacific: Per Capita Retail Spending through Home improvement and gardening supplies retailers (US$), by Country, 2007-2012
Table 97: Asia Pacific: Forecast Per Capita Retail Spending through Home improvement and gardening supplies retailers (US$), by Country, 2012-2017
Table 98: Asia Pacific: Retail Sales through Home Improvement and Gardening Supplies Retailers (US$ Mllion), by Category, 2007-2012
Table 99: Asia Pacific: Retail Sales Forecast through Home Improvement and Gardening Supplies Retailers (US$ Million), by Category 2012-2017
Table 100: Asia Pacific: Retail Sales through Music, video, book, stationery, and entertainment software specialists (US$ million), By Country, 2007-2012
Table 101: Asia Pacific: Retail Sales through Music, video, book, stationery, and entertainment software specialists Forecasts (US$ million), By Country,2012-2017
Table 102: Asia Pacific: Per Capita Retail Spending through Music, video, book, stationery, and entertainment software specialists (US$), by Country,, 2007-2012
Table 103: Asia Pacific: Forecast Per Capita Retail Spending through Music, video, book, stationery, and entertainment software specialists (US$), by Country, 2012-2017
Table 104: Asia Pacific: Retail Sales through Music, Video, Book, Stationery, and Entertainment Software Specialists (US$ Million), by Category, 2007-2012
Table 105: Asia Pacific: Retail Sales Forecast through Music, Video, Book, Stationery, and Entertainment Software Specialists (US$ Million), by Category, 2007-2012
Table 106: Asia Pacific: Retail Sales through Other specialist retailers (US$ million), By Country, 2007-2012
Table 107: Asia Pacific: Retail Sales through Other specialist retailers Forecasts (US$ million), By Country,, 2012-2017
Table 108: Asia Pacific Per Capita Retail Spending through Other specialist retailers (US$), by Country,, 2007-2012
Table 109: Asia Pacific: Forecast Per Capita Retail Spending through Other specialist retailers (US$), by Country,, 2012-2017
Table 110: Asia Pacific: Retail Sales through Other Specialist Retailers (US$ Million), by Category, 2007-2012
Table 111: Asia Pacific: Retail Sales Forecast through Other Specialist Retailers (US$ Million), by Category, 2007-2012
Table 112: Asia Pacific: Retail Sales through Online retailing (US$ million), By Country, 2007-2012
Table 113: Asia Pacific: Retail Sales through Online retailing Forecasts (US$ million), By Country, 2012-2017
Table 114: Asia Pacific: Per Capita Retail Spending through Online retailing (US$), by Country, 2007-2012
Table 115: Asia Pacific: Forecast Per Capita Retail Spending through Online retailing (US$), by Country, 2012-2017
Table 116: Asia Pacific: Retail Sales through Online Retailing (US$ Million), by Category, 2007-2012
Table 117: Asia Pacific: Retail Sales Forecast through Online Retailing (US$ Million), by Category,, 2012-2017
Table 118: Asia Pacific Retail Sales through Value Retailers Group (US$ million), By Country, 2007-2012
Table 119: Asia Pacific: Retail Sales through Value Retailers Group Forecasts (US$ million), By Country y, 2012-2017
Table 120: Asia Pacific: Per Capita Retail Spending through Value Retailers Group (US$), by Country 2007-2012
Table 121: Asia Pacific: Forecast Per Capita Retail Spending through Value Retailers Group (US$), by Country 2012-2017
Table 122: Asia Pacific: Retail Sales through Cash and Carries and Warehouse Clubs(US$ million), By Country, 2007-2012
Table 123: Asia Pacific: Retail Sales through Cash and Carries and Warehouse Clubs Forecasts (US$ million), By Country, 2012-2017
Table 124: Asia Pacific: Per Capita Retail Spending through Cash and Carries and Warehouse Clubs (US$), by Country,, 2007-2012
Table 125: Asia Pacific: Forecast Per Capita Retail Spending through Cash and Carries and Warehouse Clubs (US$), by Country 2012-2017
Table 126: Asia Pacific: Retail Sales through Cash and Carries and Warehouse Clubs (US$ Million), by Category, 2007-2012
Table 127: Asia Pacific: Retail Sales Forecast through Cash and Carries and Warehouse Clubs (US$ Million), by Category 2012-2017
Table 128: Asia Pacific: Retail Sales through Value, Variety Stores, and General Merchandise Retailers (US$ million), By Country, 2007-2012
Table 129: Asia Pacific: Retail Sales through Value, Variety Stores, and General Merchandise Retailers Forecasts (US$ million), By Country, 2012-2017
Table 130: Asia Pacific: Per Capita Retail Spending through Value, Variety Stores, and General Merchandise Retailers (US$), by Country, 2007-2012
Table 131: Asia Pacific: Forecast Per Capita Retail Spending through Value, Variety Stores, and General Merchandise Retailers (US$), by Country, 2012-2017
Table 132: Asia Pacific: Retail Sales through Value, Variety Stores, and General Merchandise Retailers (US$ Million), by Category, 2007-2012
Table 133: Asia Pacific: Retail Sales Forecast through Value, Variety Stores, and General Merchandise Retailers (US$ Million), by Category, 2012-2017

List of Figures

Figure 1: The Triangulated Market Sizing Methodology
Figure 2: Asia Pacific: Overall Retail Sales and Forecast (US$ Bn), by Channel Group, 2007-2017
Figure 3: Asia Pacific: Overall Retail Market Dynamics, by Channel Group, 2007-2017
Figure 4: Asia Pacific: Overall Retail Sales (US$ Bn), by Category Group, 2007-2017
Figure 5: Asia Pacific: Overall Retail Market Dynamics, by Category Group, 2007-2017
Figure 6: Asia Pacific: General Retailers Sales and Forecast (US$ Million), by Channel, 2007-2017
Figure 7: : Asia Pacific: General Retailers Market Dynamics, by Channel, 2007-2017
Figure 8: : Asia Pacific: Specialist Retailers Sales and Forecast (US$ Million), by Channel, 2007-2017
Figure 9: Asia Pacific: Specialist Retailers Market Dynamics, by Channel, 2007-2017
Figure 10: Asia Pacific: Value Retailers Sales and Forecast (US$ Million), by Channel, 2007-2017
Figure 11: Asia Pacific: Value Retailers Market Dynamics, by Channel, 2007-2017

Read the full report:
The Future of Retailing in Asia Pacific to 2017
http://www.reportbuyer.com/consumer_goods_retail/general_retailing/future_retailing_asia_pacific_2017.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Retail

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.

Latest Stories
SYS-CON Events announced today that Men & Mice, the leading global provider of DNS, DHCP and IP address management overlay solutions, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. The Men & Mice Suite overlay solution is already known for its powerful application in heterogeneous operating environments, enabling enterprises to scale without fuss. Building on a solid range of diverse platform support,...
Eighty percent of a data scientist’s time is spent gathering and cleaning up data, and 80% of all data is unstructured and almost never analyzed. Cognitive computing, in combination with Big Data, is changing the equation by creating data reservoirs and using natural language processing to enable analysis of unstructured data sources. This is impacting every aspect of the analytics profession from how data is mined (and by whom) to how it is delivered. This is not some futuristic vision: it's ha...
Silver Spring Networks, Inc. (NYSE: SSNI) extended its Internet of Things technology platform with performance enhancements to Gen5 – its fifth generation critical infrastructure networking platform. Already delivering nearly 23 million devices on five continents as one of the leading networking providers in the market, Silver Spring announced it is doubling the maximum speed of its Gen5 network to up to 2.4 Mbps, increasing computational performance by 10x, supporting simultaneous mesh communic...
Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics. In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, will discuss using predictive analytics to ...
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, will discuss how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved effi...
Sensors and effectors of IoT are solving problems in new ways, but small businesses have been slow to join the quantified world. They’ll need information from IoT using applications as varied as the businesses themselves. In his session at @ThingsExpo, Roger Meike, Distinguished Engineer, Director of Technology Innovation at Intuit, showed how IoT manufacturers can use open standards, public APIs and custom apps to enable the Quantified Small Business. He used a Raspberry Pi to connect sensors...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, will provide an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profes...
Father business cycles and digital consumers are forcing enterprises to respond faster to customer needs and competitive demands. Successful integration of DevOps and Agile development will be key for business success in today’s digital economy. In his session at DevOps Summit, Pradeep Prabhu, Co-Founder & CEO of Cloudmunch, covered the critical practices that enterprises should consider to seamlessly integrate Agile and DevOps processes, barriers to implementing this in the enterprise, and pr...
The principles behind DevOps are not new - for decades people have been automating system administration and decreasing the time to deploy apps and perform other management tasks. However, only recently did we see the tools and the will necessary to share the benefits and power of automation with a wider circle of people. In his session at DevOps Summit, Bernard Sanders, Chief Technology Officer at CloudBolt Software, explored the latest tools including Puppet, Chef, Docker, and CMPs needed to...
With the Apple Watch making its way onto wrists all over the world, it’s only a matter of time before it becomes a staple in the workplace. In fact, Forrester reported that 68 percent of technology and business decision-makers characterize wearables as a top priority for 2015. Recognizing their business value early on, FinancialForce.com was the first to bring ERP to wearables, helping streamline communication across front and back office functions. In his session at @ThingsExpo, Kevin Roberts...
Cognitive Computing is becoming the foundation for a new generation of solutions that have the potential to transform business. Unlike traditional approaches to building solutions, a cognitive computing approach allows the data to help determine the way applications are designed. This contrasts with conventional software development that begins with defining logic based on the current way a business operates. In her session at 18th Cloud Expo, Judith S. Hurwitz, President and CEO of Hurwitz & ...
It's easy to assume that your app will run on a fast and reliable network. The reality for your app's users, though, is often a slow, unreliable network with spotty coverage. What happens when the network doesn't work, or when the device is in airplane mode? You get unhappy, frustrated users. An offline-first app is an app that works, without error, when there is no network connection.
Data-as-a-Service is the complete package for the transformation of raw data into meaningful data assets and the delivery of those data assets. In her session at 18th Cloud Expo, Lakshmi Randall, an industry expert, analyst and strategist, will address: What is DaaS (Data-as-a-Service)? Challenges addressed by DaaS Vendors that are enabling DaaS Architecture options for DaaS
One of the bewildering things about DevOps is integrating the massive toolchain including the dozens of new tools that seem to crop up every year. Part of DevOps is Continuous Delivery and having a complex toolchain can add additional integration and setup to your developer environment. In his session at @DevOpsSummit at 18th Cloud Expo, Miko Matsumura, Chief Marketing Officer of Gradle Inc., will discuss which tools to use in a developer stack, how to provision the toolchain to minimize onboa...
As someone who has been dedicated to automation and Application Release Automation (ARA) technology for almost six years now, one of the most common questions I get asked regards Platform-as-a-Service (PaaS). Specifically, people want to know whether release automation is still needed when a PaaS is in place, and why. Isn't that what a PaaS provides? A solution to the deployment and runtime challenges of an application? Why would anyone using a PaaS then need an automation engine with workflow ...