Intelligent Vending Machines Market by Type, Payment, End-User

List of Tables

The Intelligent Vending Machines Market is projected to reach USD 51.40 billion by 2030 from USD 18.65 billion in 2022, at a CAGR of 13.50% during the forecast period.

Global Intelligent Vending Machines Market

KEY MARKET STATISTICS
Base Year Value [2022]	USD 18.65 billion
Estimated Year Value [2023]	USD 21.17 billion
Forecast Year Value [2030]	USD 51.40 billion
CAGR (%)	13.50%

Intelligent Vending Machines Market - IMG1

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Intelligent Vending Machines Market.

Based on Type, market is studied across Cigarette Vending Machines, Coffee Vending Machines, Fresh Food Vending Machines, and Snacks & Beverages Vending Machines. The Fresh Food Vending Machines is projected to witness significant market share during forecast period.

Based on Payment, market is studied across Cash and Cashless. The Cash is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Entertainment Venues, Fitness Centers, Hospitals, Office & Workplaces, Retail Stores, and Shopping Malls. The Retail Stores is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas is projected to witness significant market share during forecast period.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Intelligent Vending Machines Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Intelligent Vending Machines Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Intelligent Vending Machines Market, highlighting leading vendors and their innovative profiles. These include AAEON Technology Inc., Amaryllo Inc, Axiomtek Co., Ltd., Azkoyen Group, Blue Sparq, Inc., Digital Media Vending International, LLC, Evoca Group, Fas International S.P.A, Fuji Electric Co., Ltd., GEA Group AG, Guangzhou Micron Vending Company, Hunan Xingyuan Technology Co.,Ltd., Innodisk Corporation, Intelligent Dispensing Solutions, Invenda Group AG, IVM, Inc., Jofemar SA, OKdo Technology Limited, Provending Machine Co., Ltd., Seaga Manufacturing Inc., Selecta Group, Silkron Technology Sdn Bhd, Stanley Black & Decker, Inc., USelectIt LLC, and Velocity Smart Technology.

The report offers valuable insights on the following aspects:

1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.

2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.

3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.

4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.

5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast for the Intelligent Vending Machines Market?

2. Which products, segments, applications, and areas hold the highest investment potential in the Intelligent Vending Machines Market?

3. What is the competitive strategic window for identifying opportunities in the Intelligent Vending Machines Market?

4. What are the latest technology trends and regulatory frameworks in the Intelligent Vending Machines Market?

5. What is the market share of the leading vendors in the Intelligent Vending Machines Market?

6. Which modes and strategic moves are suitable for entering the Intelligent Vending Machines Market?

Product Code: MRR-F6513A06BE2F

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. Intelligent Vending Machines Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increase in demand for food vending machines in offices and institutions
  - 5.1.1.2. Rise in consumption of convenience food items
  - 5.1.1.3. Adoption of smart customer service technologies in several food categories
- 5.1.2. Restraints
  - 5.1.2.1. High initial installation and maintenance cost of intelligent vending machine
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing investment in research activities for the development of novel vending machines
  - 5.1.3.2. Emergence of IoT, AI, and robotics-based vending machines
- 5.1.4. Challenges
  - 5.1.4.1. Restrictions on the usage of intelligent vending machine in food & beverages industry
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. Intelligent Vending Machines Market, by Type

6.1. Introduction
6.2. Cigarette Vending Machines
6.3. Coffee Vending Machines
6.4. Fresh Food Vending Machines
6.5. Snacks & Beverages Vending Machines

7. Intelligent Vending Machines Market, by Payment

7.1. Introduction
7.2. Cash
7.3. Cashless

8. Intelligent Vending Machines Market, by End-User

8.1. Introduction
8.2. Entertainment Venues
8.3. Fitness Centers
8.4. Hospitals
8.5. Office & Workplaces
8.6. Retail Stores
8.7. Shopping Malls

9. Americas Intelligent Vending Machines Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Intelligent Vending Machines Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Intelligent Vending Machines Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player

13. Competitive Portfolio

13.1. Key Company Profiles
- 13.1.1. AAEON Technology Inc.
- 13.1.2. Amaryllo Inc
- 13.1.3. Axiomtek Co., Ltd.
- 13.1.4. Azkoyen Group
- 13.1.5. Blue Sparq, Inc.
- 13.1.6. Digital Media Vending International, LLC
- 13.1.7. Evoca Group
- 13.1.8. Fas International S.P.A
- 13.1.9. Fuji Electric Co., Ltd.
- 13.1.10. GEA Group AG
- 13.1.11. Guangzhou Micron Vending Company
- 13.1.12. Hunan Xingyuan Technology Co.,Ltd.
- 13.1.13. Innodisk Corporation
- 13.1.14. Intelligent Dispensing Solutions
- 13.1.15. Invenda Group AG
- 13.1.16. IVM, Inc.
- 13.1.17. Jofemar SA
- 13.1.18. OKdo Technology Limited
- 13.1.19. Provending Machine Co., Ltd.
- 13.1.20. Seaga Manufacturing Inc.
- 13.1.21. Selecta Group
- 13.1.22. Silkron Technology Sdn Bhd
- 13.1.23. Stanley Black & Decker, Inc.
- 13.1.24. USelectIt LLC
- 13.1.25. Velocity Smart Technology
13.2. Key Product Portfolio

14. Appendix

14.1. Discussion Guide
14.2. License & Pricing