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
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo 2016 in New York. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place June 6-8, 2017, at the Javits Center in New York City, New York, is co-located with 20th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry p...
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long developm...
Kubernetes is a new and revolutionary open-sourced system for managing containers across multiple hosts in a cluster. Ansible is a simple IT automation tool for just about any requirement for reproducible environments. In his session at @DevOpsSummit at 18th Cloud Expo, Patrick Galbraith, a principal engineer at HPE, discussed how to build a fully functional Kubernetes cluster on a number of virtual machines or bare-metal hosts. Also included will be a brief demonstration of running a Galera MyS...
"We build IoT infrastructure products - when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
"We are an all-flash array storage provider but our focus has been on VM-aware storage specifically for virtualized applications," stated Dhiraj Sehgal of Tintri in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2017 New York The 7th Internet of @ThingsExpo will take place on June 6-8, 2017, at the Javits Center in New York City, New York. Chris Matthieu is the co-founder and CTO of Octoblu, a revolutionary real-time IoT platform recently acquired by Citrix. Octoblu connects things, systems, people and clouds to a global mesh network allowing users to automate and control design flo...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
Between 2005 and 2020, data volumes will grow by a factor of 300 – enough data to stack CDs from the earth to the moon 162 times. This has come to be known as the ‘big data’ phenomenon. Unfortunately, traditional approaches to handling, storing and analyzing data aren’t adequate at this scale: they’re too costly, slow and physically cumbersome to keep up. Fortunately, in response a new breed of technology has emerged that is cheaper, faster and more scalable. Yet, in meeting these new needs they...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at 20th Cloud Expo, Ed Featherston, director/senior enterprise architect at Collaborative Consulting, will discuss the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busin...
According to Forrester Research, every business will become either a digital predator or digital prey by 2020. To avoid demise, organizations must rapidly create new sources of value in their end-to-end customer experiences. True digital predators also must break down information and process silos and extend digital transformation initiatives to empower employees with the digital resources needed to win, serve, and retain customers.
The WebRTC Summit New York, to be held June 6-8, 2017, at the Javits Center in New York City, NY, announces that its Call for Papers is now open. Topics include all aspects of improving IT delivery by eliminating waste through automated business models leveraging cloud technologies. WebRTC Summit is co-located with 20th International Cloud Expo and @ThingsExpo. WebRTC is the future of browser-to-browser communications, and continues to make inroads into the traditional, difficult, plug-in web co...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...