Market Overview:
The global intelligent automatic vending machines market is expected to grow at a CAGR of 6.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for convenience and automation across different applications, such as airports, railway stations, schools, business centers, and others. Additionally, the growing trend of smart cities is also expected to fuel the growth of this market in the coming years. On the basis of type, the global intelligent automatic vending machines market can be segmented into commodity vending machines, food vending machines, and other types of vending machines. The commodity segment is projected to account for a major share of this market during the forecast period owing to its high demand from different end-use applications. On the basis of application, this market can be divided into airports (including both departure and arrival areas), railway stations (including both platforms and waiting areas), schools (primary/secondary/tertiary levels), business centers (offices/shops/hotels), hospitals & clinics; prisons; military bases; amusement parks & tourist spots; stadiums & arenas; other public places such as libraries or transportation terminals).
Product Definition:
An intelligent automatic vending machine is a computerized system that dispenses products such as snacks, beverages, or cigarettes after receiving payment from a customer. These machines are often found in public places such as schools, airports, and hospitals. The importance of intelligent automatic vending machines lies in their ability to provide convenient access to products for customers without the need for human interaction.
Commodity:
Commodity is an item or a raw material that is used as a basis of manufacture other goods or products. It can be either tangible (such as food items, beverages, and consumer electronics) or intangible (such as information and knowledge). The growth factor in the IAVM market refers to the rate at which demand for commodities will grow in the future. This depends on various factors such as population growth, income growth, changes in lifestyle etc., etc.
Food:
Food and it's usage in intelligent automatic vending machines market is a set of standards, which defines the requirements for food items to be offered through such machines. The global industry has seen tremendous growth over the past few years owing to increasing health concerns among people across the world. With changing lifestyles, people are increasingly opting for on-the-go options that provide convenience right from preparation to consumption. This factor is expected to drive demand in this market over the forecast period.
Application Insights:
The market is segmented by application into airport, railway station, school, business center and others. The airport segment dominated the global market in 2017 and is projected to maintain its lead over the forecast period owing to increasing air travelers across the globe. Airport authorities are increasingly deploying vending machines that serve food in airports as they are considered more hygienic than other forms of food vendors. Moreover, these intelligent automatic vending machines can be used for selling boarding passes and other items of convenience at airports which aid operators reduce operating costs while improving customer service.
Airport authorities worldwide have been focusing on initiatives such as offering free Wi-Fi access at various locations within airports which has led to an increased adoption of these intelligent automatic vending machines among passengers looking for a place to sit down or relax while waiting for their flight or before going through security check points.
Regional Analysis:
North America dominated the global market in 2017. The growth of the region can be attributed to increasing adoption of ATMs across countries such as U.S., Canada, and Mexico. North America is home to several large airports that are adopting automatic vending machines for both food and non-food items such as newspaper, snacks, bottled water etc.; thereby contributing significantly toward regional revenue share. Europe is expected to witness significant growth over the forecast period owing to rising demand from countries like Germany and U.K.
Growth Factors:
- Increasing demand for healthy and fresh food: The global population is growing at a rapid pace and with it the demand for healthy, fresh, and convenient food. Intelligent automatic vending machines can provide an efficient solution to this need by offering a variety of food options that are both healthy and fresh.
- Rising urbanization: As more people move into cities, the demand for convenient solutions such as intelligent automatic vending machines will continue to grow. These machines can offer a quick and easy way to purchase items without having to leave the city or go through long lines in stores.
- Advances in technology: With each passing year, there are new advances in technology that can be applied to intelligent automatic vending machines. This allows these machines to become increasingly efficient and user-friendly, which will only increase their popularity among consumers.
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Automatic Vending Machines Market Research Report
By Type
Commodity, Food, Others
By Application
Airport, Railway Station, School, Business Center, Others
By Companies
Fuji Electric, Crane Merchandising Systems, Sanden, Lone Star Funds, Seaga, Royal Vendors, Azkoyen, Sielaff, Bianchi Vending, Jofemar, Fuji Electric
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
122
Number of Tables & Figures
86
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Automatic Vending Machines Market Report Segments:
The global Intelligent Automatic Vending Machines market is segmented on the basis of:
Types
Commodity, Food, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Airport, Railway Station, School, Business Center, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Fuji Electric
- Crane Merchandising Systems
- Sanden
- Lone Star Funds
- Seaga
- Royal Vendors
- Azkoyen
- Sielaff
- Bianchi Vending
- Jofemar
- Fuji Electric
Highlights of The Intelligent Automatic Vending Machines Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Commodity
- Food
- Others
- By Application:
- Airport
- Railway Station
- School
- Business Center
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Automatic Vending Machines Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
An intelligent automatic vending machine is a type of vending machine that uses sensors and software to detect when a product is needed and dispense the correct amount. This technology can also identify when a customer has left the product unattended, preventing theft or waste.
Some of the major players in the intelligent automatic vending machines market are Fuji Electric, Crane Merchandising Systems, Sanden, Lone Star Funds, Seaga, Royal Vendors, Azkoyen, Sielaff, Bianchi Vending, Jofemar, Fuji Electric.
The intelligent automatic vending machines market is expected to register a CAGR of 6.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Automatic Vending Machines Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Intelligent Automatic Vending Machines Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Automatic Vending Machines Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Intelligent Automatic Vending Machines Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Intelligent Automatic Vending Machines Market Size & Forecast, 2020-2028
4.5.1 Intelligent Automatic Vending Machines Market Size and Y-o-Y Growth
4.5.2 Intelligent Automatic Vending Machines Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Commodity
5.2.2 Food
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Airport
6.2.2 Railway Station
6.2.3 School
6.2.4 Business Center
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Automatic Vending Machines Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Intelligent Automatic Vending Machines Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Commodity
9.6.2 Food
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Airport
9.10.2 Railway Station
9.10.3 School
9.10.4 Business Center
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Commodity
10.6.2 Food
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Airport
10.10.2 Railway Station
10.10.3 School
10.10.4 Business Center
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Commodity
11.6.2 Food
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Airport
11.10.2 Railway Station
11.10.3 School
11.10.4 Business Center
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Commodity
12.6.2 Food
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Airport
12.10.2 Railway Station
12.10.3 School
12.10.4 Business Center
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Commodity
13.6.2 Food
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Airport
13.10.2 Railway Station
13.10.3 School
13.10.4 Business Center
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Intelligent Automatic Vending Machines Market: Competitive Dashboard
14.2 Global Intelligent Automatic Vending Machines Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Fuji Electric
14.3.2 Crane Merchandising Systems
14.3.3 Sanden
14.3.4 Lone Star Funds
14.3.5 Seaga
14.3.6 Royal Vendors
14.3.7 Azkoyen
14.3.8 Sielaff
14.3.9 Bianchi Vending
14.3.10 Jofemar
14.3.11 Fuji Electric
