Global Intelligent Vending Machines Market 2018 by Manufacturers, Regions, Type and Application, Forecast to 2023

$3,480

Intelligent Vending Machines now represents a new breed of vending machine connected to the internet.

Consumer interaction data is captured via touchscreen, beacon technology, NFC readers and simple motion sensors that detect a customer\'s physical presence, combined with mobile and enterprise back-end integration, which enables smart vending to offer real-time promotions, as well as upsell and cross-sell opportunities to personalize the user experience and promote brand loyalty.

Scope of the Report:

This report focuses on the Intelligent Vending Machines in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.

Airport, railway station, school and business Center are the main application areas for Smart Vending Machines market. Dairy, especially school, accounted for 21.54% of total market share, followed by airport (20%) and railway station (19.14%).

The largest consumption area is Europe, North America and Japan which are much matured market. For emerging economies, like China, Smart Vending Machines technology is rapidly improving.

Although sales of Smart Vending Machines brought a lot of opportunities, the study group recommends the new entrants just having money but without technical advantage and downstream support do not to enter into this field.

The worldwide market for Intelligent Vending Machines is expected to grow at a CAGR of roughly xx% over the next five years, will reach xx million US$ in 2023, from xx million US$ in 2017, according to a new GIR (Global Info Research) study.

Market Segment by Manufacturers, this report covers

Fuji Electric

Crane Merchandising Systems

Sanden

N&W Global Vending

Seaga

Royal Vendors

Azkoyen

Sielaff

Bianchi Vending

Jofemar

FAS International

Automated Merchandising Systems

Deutsche Wurlitzer

TCN Vending Machine

Fuhong Vending

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia etc.)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers

Beverage

Commodity

Food

Others

Market Segment by Applications, can be divided into

Airport

Railway Station

School

Business Center

Others

There are 15 Chapters to deeply display the global Intelligent Vending Machines market.

Chapter 1, to describe Intelligent Vending Machines Introduction, product scope, market overview, market opportunities, market risk, market driving force;

Chapter 2, to analyze the top manufacturers of Intelligent Vending Machines, with sales, revenue, and price of Intelligent Vending Machines, in 2016 and 2017;

Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;

Chapter 4, to show the global market by regions, with sales, revenue and market share of Intelligent Vending Machines, for each region, from 2013 to 2018;

Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;

Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;

Chapter 12, Intelligent Vending Machines market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;

Chapter 13, 14 and 15, to describe Intelligent Vending Machines sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source

Table of Contents

1 Market Overview

1.1 Intelligent Vending Machines Introduction

1.2 Market Analysis by Type

1.2.1 Beverage

1.2.2 Commodity

1.2.3 Food

1.2.4 Others

1.3 Market Analysis by Applications

1.3.1 Airport

1.3.2 Railway Station

1.3.3 School

1.3.4 Business Center

1.3.5 Others

1.4 Market Analysis by Regions

1.4.1 North America (United States, Canada and Mexico)

1.4.1.1 United States Market States and Outlook (2013-2023)

1.4.1.2 Canada Market States and Outlook (2013-2023)

1.4.1.3 Mexico Market States and Outlook (2013-2023)

1.4.2 Europe (Germany, France, UK, Russia and Italy)

1.4.2.1 Germany Market States and Outlook (2013-2023)

1.4.2.2 France Market States and Outlook (2013-2023)

1.4.2.3 UK Market States and Outlook (2013-2023)

1.4.2.4 Russia Market States and Outlook (2013-2023)

1.4.2.5 Italy Market States and Outlook (2013-2023)

1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

1.4.3.1 China Market States and Outlook (2013-2023)

1.4.3.2 Japan Market States and Outlook (2013-2023)

1.4.3.3 Korea Market States and Outlook (2013-2023)

1.4.3.4 India Market States and Outlook (2013-2023)

1.4.3.5 Southeast Asia Market States and Outlook (2013-2023)

1.4.4 South America, Middle East and Africa

1.4.4.1 Brazil Market States and Outlook (2013-2023)

1.4.4.2 Egypt Market States and Outlook (2013-2023)

1.4.4.3 Saudi Arabia Market States and Outlook (2013-2023)

1.4.4.4 South Africa Market States and Outlook (2013-2023)

1.4.4.5 Nigeria Market States and Outlook (2013-2023)

1.5 Market Dynamics

1.5.1 Market Opportunities

1.5.2 Market Risk

1.5.3 Market Driving Force

2 Manufacturers Profiles

2.1 Fuji Electric

2.1.1 Business Overview

2.1.2 Intelligent Vending Machines Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 Fuji Electric Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.2 Crane Merchandising Systems

2.2.1 Business Overview

2.2.2 Intelligent Vending Machines Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 Crane Merchandising Systems Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.3 Sanden

2.3.1 Business Overview

2.3.2 Intelligent Vending Machines Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 Sanden Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.4 N&W Global Vending

2.4.1 Business Overview

2.4.2 Intelligent Vending Machines Type and Applications

2.4.2.1 Product A

2.4.2.2 Product B

2.4.3 N&W Global Vending Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.5 Seaga

2.5.1 Business Overview

2.5.2 Intelligent Vending Machines Type and Applications

2.5.2.1 Product A

2.5.2.2 Product B

2.5.3 Seaga Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.6 Royal Vendors

2.6.1 Business Overview

2.6.2 Intelligent Vending Machines Type and Applications

2.6.2.1 Product A

2.6.2.2 Product B

2.6.3 Royal Vendors Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.7 Azkoyen

2.7.1 Business Overview

2.7.2 Intelligent Vending Machines Type and Applications

2.7.2.1 Product A

2.7.2.2 Product B

2.7.3 Azkoyen Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.8 Sielaff

2.8.1 Business Overview

2.8.2 Intelligent Vending Machines Type and Applications

2.8.2.1 Product A

2.8.2.2 Product B

2.8.3 Sielaff Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.9 Bianchi Vending

2.9.1 Business Overview

2.9.2 Intelligent Vending Machines Type and Applications

2.9.2.1 Product A

2.9.2.2 Product B

2.9.3 Bianchi Vending Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.10 Jofemar

2.10.1 Business Overview

2.10.2 Intelligent Vending Machines Type and Applications

2.10.2.1 Product A

2.10.2.2 Product B

2.10.3 Jofemar Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.11 FAS International

2.11.1 Business Overview

2.11.2 Intelligent Vending Machines Type and Applications

2.11.2.1 Product A

2.11.2.2 Product B

2.11.3 FAS International Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.12 Automated Merchandising Systems

2.12.1 Business Overview

2.12.2 Intelligent Vending Machines Type and Applications

2.12.2.1 Product A

2.12.2.2 Product B

2.12.3 Automated Merchandising Systems Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.13 Deutsche Wurlitzer

2.13.1 Business Overview

2.13.2 Intelligent Vending Machines Type and Applications

2.13.2.1 Product A

2.13.2.2 Product B

2.13.3 Deutsche Wurlitzer Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.14 TCN Vending Machine

2.14.1 Business Overview

2.14.2 Intelligent Vending Machines Type and Applications

2.14.2.1 Product A

2.14.2.2 Product B

2.14.3 TCN Vending Machine Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

2.15 Fuhong Vending

2.15.1 Business Overview

2.15.2 Intelligent Vending Machines Type and Applications

2.15.2.1 Product A

2.15.2.2 Product B

2.15.3 Fuhong Vending Intelligent Vending Machines Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)

3 Global Intelligent Vending Machines Sales, Revenue, Market Share and Competition by Manufacturer (2016-2017)

3.1 Global Intelligent Vending Machines Sales and Market Share by Manufacturer (2016-2017)

3.2 Global Intelligent Vending Machines Revenue and Market Share by Manufacturer (2016-2017)

3.3 Market Concentration Rate

3.3.1 Top 3 Intelligent Vending Machines Manufacturer Market Share in 2017

3.3.2 Top 6 Intelligent Vending Machines Manufacturer Market Share in 2017

3.4 Market Competition Trend

4 Global Intelligent Vending Machines Market Analysis by Regions

4.1 Global Intelligent Vending Machines Sales, Revenue and Market Share by Regions

4.1.1 Global Intelligent Vending Machines Sales and Market Share by Regions (2013-2018)

4.1.2 Global Intelligent Vending Machines Revenue and Market Share by Regions (2013-2018)

4.2 North America Intelligent Vending Machines Sales and Growth Rate (2013-2018)

4.3 Europe Intelligent Vending Machines Sales and Growth Rate (2013-2018)

4.4 Asia-Pacific Intelligent Vending Machines Sales and Growth Rate (2013-2018)

4.5 South America Intelligent Vending Machines Sales and Growth Rate (2013-2018)

4.6 Middle East and Africa Intelligent Vending Machines Sales and Growth Rate (2013-2018)

5 North America Intelligent Vending Machines by Countries

5.1 North America Intelligent Vending Machines Sales, Revenue and Market Share by Countries

5.1.1 North America Intelligent Vending Machines Sales and Market Share by Countries (2013-2018)

5.1.2 North America Intelligent Vending Machines Revenue and Market Share by Countries (2013-2018)

5.2 United States Intelligent Vending Machines Sales and Growth Rate (2013-2018)

5.3 Canada Intelligent Vending Machines Sales and Growth Rate (2013-2018)

5.4 Mexico Intelligent Vending Machines Sales and Growth Rate (2013-2018)

6 Europe Intelligent Vending Machines by Countries

6.1 Europe Intelligent Vending Machines Sales, Revenue and Market Share by Countries

6.1.1 Europe Intelligent Vending Machines Sales and Market Share by Countries (2013-2018)

6.1.2 Europe Intelligent Vending Machines Revenue and Market Share by Countries (2013-2018)

6.2 Germany Intelligent Vending Machines Sales and Growth Rate (2013-2018)

6.3 UK Intelligent Vending Machines Sales and Growth Rate (2013-2018)

6.4 France Intelligent Vending Machines Sales and Growth Rate (2013-2018)

6.5 Russia Intelligent Vending Machines Sales and Growth Rate (2013-2018)

6.6 Italy Intelligent Vending Machines Sales and Growth Rate (2013-2018)

7 Asia-Pacific Intelligent Vending Machines by Countries

7.1 Asia-Pacific Intelligent Vending Machines Sales, Revenue and Market Share by Countries

7.1.1 Asia-Pacific Intelligent Vending Machines Sales and Market Share by Countries (2013-2018)

7.1.2 Asia-Pacific Intelligent Vending Machines Revenue and Market Share by Countries (2013-2018)

7.2 China Intelligent Vending Machines Sales and Growth Rate (2013-2018)

7.3 Japan Intelligent Vending Machines Sales and Growth Rate (2013-2018)

7.4 Korea Intelligent Vending Machines Sales and Growth Rate (2013-2018)

7.5 India Intelligent Vending Machines Sales and Growth Rate (2013-2018)

7.6 Southeast Asia Intelligent Vending Machines Sales and Growth Rate (2013-2018)

8 South America Intelligent Vending Machines by Countries

8.1 South America Intelligent Vending Machines Sales, Revenue and Market Share by Countries

8.1.1 South America Intelligent Vending Machines Sales and Market Share by Countries (2013-2018)

8.1.2 South America Intelligent Vending Machines Revenue and Market Share by Countries (2013-2018)

8.2 Brazil Intelligent Vending Machines Sales and Growth Rate (2013-2018)

8.3 Argentina Intelligent Vending Machines Sales and Growth Rate (2013-2018)

8.4 Colombia Intelligent Vending Machines Sales and Growth Rate (2013-2018)

9 Middle East and Africa Intelligent Vending Machines by Countries

9.1 Middle East and Africa Intelligent Vending Machines Sales, Revenue and Market Share by Countries

9.1.1 Middle East and Africa Intelligent Vending Machines Sales and Market Share by Countries (2013-2018)

9.1.2 Middle East and Africa Intelligent Vending Machines Revenue and Market Share by Countries (2013-2018)

9.2 Saudi Arabia Intelligent Vending Machines Sales and Growth Rate (2013-2018)

9.3 UAE Intelligent Vending Machines Sales and Growth Rate (2013-2018)

9.4 Egypt Intelligent Vending Machines Sales and Growth Rate (2013-2018)

9.5 Nigeria Intelligent Vending Machines Sales and Growth Rate (2013-2018)

9.6 South Africa Intelligent Vending Machines Sales and Growth Rate (2013-2018)

10 Global Intelligent Vending Machines Market Segment by Type

10.1 Global Intelligent Vending Machines Sales, Revenue and Market Share by Type (2013-2018)

10.1.1 Global Intelligent Vending Machines Sales and Market Share by Type (2013-2018)

10.1.2 Global Intelligent Vending Machines Revenue and Market Share by Type (2013-2018)

10.2 Beverage Sales Growth and Price

10.2.1 Global Beverage Sales Growth (2013-2018)

10.2.2 Global Beverage Price (2013-2018)

10.3 Commodity Sales Growth and Price

10.3.1 Global Commodity Sales Growth (2013-2018)

10.3.2 Global Commodity Price (2013-2018)

10.4 Food Sales Growth and Price

10.4.1 Global Food Sales Growth (2013-2018)

10.4.2 Global Food Price (2013-2018)

10.5 Others Sales Growth and Price

10.5.1 Global Others Sales Growth (2013-2018)

10.5.2 Global Others Price (2013-2018)

11 Global Intelligent Vending Machines Market Segment by Application

11.1 Global Intelligent Vending Machines Sales Market Share by Application (2013-2018)

11.2 Airport Sales Growth (2013-2018)

11.3 Railway Station Sales Growth (2013-2018)

11.4 School Sales Growth (2013-2018)

11.5 Business Center Sales Growth (2013-2018)

11.6 Others Sales Growth (2013-2018)

12 Intelligent Vending Machines Market Forecast (2018-2023)

12.1 Global Intelligent Vending Machines Sales, Revenue and Growth Rate (2018-2023)

12.2 Intelligent Vending Machines Market Forecast by Regions (2018-2023)

12.2.1 North America Intelligent Vending Machines Market Forecast (2018-2023)

12.2.2 Europe Intelligent Vending Machines Market Forecast (2018-2023)

12.2.3 Asia-Pacific Intelligent Vending Machines Market Forecast (2018-2023)

12.2.4 South America Intelligent Vending Machines Market Forecast (2018-2023)

12.2.5 Middle East and Africa Intelligent Vending Machines Market Forecast (2018-2023)

12.3 Intelligent Vending Machines Market Forecast by Type (2018-2023)

12.3.1 Global Intelligent Vending Machines Sales Forecast by Type (2018-2023)

12.3.2 Global Intelligent Vending Machines Market Share Forecast by Type (2018-2023)

12.4 Intelligent Vending Machines Market Forecast by Application (2018-2023)

12.4.1 Global Intelligent Vending Machines Sales Forecast by Application (2018-2023)

12.4.2 Global Intelligent Vending Machines Market Share Forecast by Application (2018-2023)

13 Sales Channel, Distributors, Traders and Dealers

13.1 Sales Channel

13.1.1 Direct Marketing

13.1.2 Indirect Marketing

13.1.3 Marketing Channel Future Trend

13.2 Distributors, Traders and Dealers

14 Research Findings and Conclusion

15 Appendix

15.1 Methodology

15.2 Data Source


1

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

Please fill the form below, to recieve the report sample


+1

Our Clients

Some Facts about Fior Markets

1%

Free Customization

1+

Countries can be added on demand

1

Free yearly update on purchase of Multi/Corporate User License

1+

Companies served till date

Customized Research Programme
Premium Customer Service

We serve our customers 24x7 for 365 days through calls, emails and live chat options.

Syndicated market research
Exceptional Market Report

Huge database of exceptional market reports bringing market intelligence to your fingertips.

Domain Specific Analytics
Secured Payment Options

SSL enabled, we offer you various secured payment options for risk free purchase.