Product Code: 464
The global mPOS terminals market is anticipated to witness extensive growth over 2032. Emerging banking trends such as cashless payments and on-the-go banking are proliferating the installation of mPOS terminals across a spectrum of end-user industries. Advancements in internet technologies and bandwidth along with the penetration of smartphones will offer lucrative opportunities for mPOS system providers.
A wide variety of businesses including retail and restaurants are replacing conventional POS with mPOS terminals as they are more cost-effective, user-friendly, and easily accessible. These terminals are also gaining popularity as they can minimize errors associated with manual cashier systems. Some of the other advantages of mPOS systems include real-time business monitoring, e-invoice, greater sales outcome, and enhanced customer experience.
Several entities are launching advanced mPOS products into the market. For instance, in May 2022, Mastercard introduced a biometric POS payment system that allows shoppers to pay at checkouts or via mobile apps using facial recognition. Meanwhile, in August 2021, Amazon started giving $10 in credit to its customers in exchange for using its new biometric scanners called Amazon One.
The mPOS terminals market is segregated into solution, deployment, application, and region.
Based on solution, the industry is fragmented into hardware and software. The hardware segment is estimated to witness over 10% CAGR between 2023-2032. Hardware products such as handheld terminals and tablets are experiencing a dramatic growth in demand. For instance, handheld terminals are widely used in restaurants and the retail sector as they offer easy installation, better mobility, and automatic data backup. Increasing efforts to build innovative handheld terminals with advanced features and functions will complement the industry outlook.
By deployment, the mPOS terminals market is categorized into cloud and on-premise. Cloud-based mPOS terminals segment is projected to expand at over 15% CAGR through 2030. Growing need for cost-effective data storage and monitoring solutions is driving end-user inclination toward cloud-based POS. For instance, in August 2022, Comviva, a leading digital financial solutions company, received TR-TSP certification for Mastercard Cloud-based Payments (MCBP) to facilitate remote in-app payments.
In terms of application, the industry landscape is classified into healthcare, entertainment, hospitality, warehouses, restaurants, and retail. The entertainment segment accounted for a revenue share of more than USD 2.5 billion in 2022. mPOS terminals are used at concerts, movie theaters, sports venues, and amusement parks. The rapid adoption of digital technologies and kiosks and mPOS screens across entertainment venues help enhance customer experience. Furthermore, entertainment businesses are focusing on modern sales support and technological aid for detailed revenue attribution for post-pandemic recovery.
In regional landscape, South America mPOS terminals market is poised to surpass USD 4 billion by 2032. Increasing acceptance and awareness regarding electronic and digital payment methods will fuel the demand for mPOS terminals across the region. Additionally, substantial development initiatives in the telecommunication and retail sectors are accelerating the need for robust cash management infrastructures, augmenting optimum product adoption across South America.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Market definitions
- 1.2 Base estimates & calculations
- 1.3 Forecast calculation
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
Chapter 2 Executive Summary
- 2.1 mPOS terminals industry 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.2.1 Total addressable market(TAM)
- 2.3 Regional trends
- 2.4 Solution trends
- 2.5 Deployment trends
- 2.6 Application trends
Chapter 3 mPOS Terminals Industry Insights
- 3.1 Introduction
- 3.2 Impact of COVID-19 outbreak
- 3.2.1 North America
- 3.2.2 Europe
- 3.2.3 Asia Pacific
- 3.2.4 South America
- 3.2.5 MEA
- 3.3 Russia- Ukraine war impact on mPOS industry
- 3.4 Industry ecosystem analysis
- 3.4.1 Raw material suppliers
- 3.4.2 Component suppliers
- 3.4.3 Manufacturers
- 3.4.4 Technology providers
- 3.4.5 Service providers
- 3.4.6 System integrators
- 3.4.7 Distributors
- 3.4.8 Profit margin
- 3.4.9 Vendor matrix
- 3.4.9.1 Raw material suppliers
- 3.4.9.2 Component suppliers
- 3.4.9.3 Manufacturers
- 3.4.9.4 Technology providers
- 3.4.9.5 Service providers
- 3.4.9.6 System integrators
- 3.4.9.7 Distributors
- 3.5 Technology & innovation landscape
- 3.5.1 AI and machine learning & analytics
- 3.5.2 Cloud POS
- 3.5.3 Biometric recognition technology
- 3.5.4 Near Field Communication (NFC)
- 3.6 Patent analysis
- 3.7 Investment portfolio
- 3.8 Key initiatives & news
- 3.9 Regulatory landscape
- 3.9.1 North America
- 3.9.2 Europe
- 3.9.3 Asia Pacific
- 3.9.4 Latin America
- 3.9.5 MEA
- 3.10 Industry impact forces
- 3.10.1 Growth drivers
- 3.10.1.1 Growing EMV card penetration in North America and Europe
- 3.10.1.2 Rapid adoption of cloud-based POS system in the eCommerce and retail sector
- 3.10.1.3 Surge in NFC-based transactions across Europe and Asia Pacific
- 3.10.1.4 Advancements in payment technologies in South America
- 3.10.1.5 Growth in the retail & hospitality industries across Middle East & Africa
- 3.10.2 Industry pitfalls & challenges
- 3.10.2.1 Data security concerns
- 3.10.2.2 Lack of standardization
- 3.11 Growth potential analysis
- 3.12 Porter's analysis
- 3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share, 2022
- 4.3 Competitive analysis of major market players, 2022
- 4.3.1 Diebold Nixdorf, Incorporated
- 4.3.2 Ingenico Group
- 4.3.3 NCR Corporation
- 4.3.4 Panasonic Corporation
- 4.3.5 PAR Technology Corporation
- 4.3.6 PAX Technology, Inc.
- 4.3.7 VeriFone Holdings Inc.
- 4.4 Competitive analysis of innovative market players, 2022
- 4.4.1 First Data Corporation
- 4.4.2 Fujian Newland Payment Technology Co., Ltd.
- 4.4.3 Micros Systems, Inc
- 4.4.4 Square Inc.
- 4.5 Competitive positioning matrix
- 4.6 Stratgic outlook matrix
Chapter 5 mPOS Terminals Market, By Solution (Revenue & Shipments)
- 5.1 Key trends, by solution
- 5.2 Hardware
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Handheld terminal
- 5.2.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.3 Tablet
- 5.2.3.1 Market estimates and forecast, 2018 - 2032
- 5.3 Software
- 5.3.1 Market estimates and forecast, 2018 - 2032
Chapter 6 mPOS Terminals Market, By Deployment (Revenue)
- 6.1 Key trends, by deployment
- 6.2 Cloud-based
- 6.2.1 Market estimates and forecast, 2018 - 2032
- 6.3 On-premise
- 6.3.1 Market estimates and forecast, 2018 - 2032
Chapter 7 mPOS Terminals Market, By Application (Revenue & Shipments)
- 7.1 Key trends, by application
- 7.2 Entertainment
- 7.2.1 Market estimates and forecast, 2018 - 2032
- 7.3 Healthcare
- 7.3.1 Market estimates and forecast, 2018 - 2032
- 7.4 Hospitality
- 7.4.1 Market estimates and forecast, 2018 - 2032
- 7.5 Restaurant
- 7.5.1 Market estimates and forecast, 2018 - 2032
- 7.6 Retail
- 7.6.1 Market estimates and forecast, 2018 - 2032
- 7.6.2 Convenience stores
- 7.6.2.1 Market estimates and forecast, 2018 - 2032
- 7.6.3 Department stores
- 7.6.3.1 Market estimates and forecast, 2018 - 2032
- 7.6.4 Supermarket/Hypermarket
- 7.6.4.1 Market estimates and forecast, 2018 - 2032
- 7.6.5 Discount stores
- 7.6.5.1 Market estimates and forecast, 2018 - 2032
- 7.6.6 Specialty stores
- 7.6.6.1 Market estimates and forecast, 2018 - 2032
- 7.6.7 Other stores
- 7.6.7.1 Market estimates and forecast, 2018 - 2032
- 7.7 Warehouse
- 7.7.1 Market estimates and forecast, 2018 - 2032
- 7.8 Others
- 7.8.1 Market estimates and forecast, 2018 - 2032
Chapter 8 mPOS Terminals Market, By Region
- 8.1 Key trends, by region
- 8.2 North America
- 8.2.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.2.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.2.3 Market estimates and forecast, by application, 2018 - 2032
- 8.2.4 U.S.
- 8.2.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.2.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.2.4.3 Market estimates and forecast, by application 2018 - 2032
- 8.2.5 Canada
- 8.2.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.2.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.2.5.3 Market estimates and forecast, by application 2018 - 2032
- 8.2.6 Mexico
- 8.2.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.2.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.2.6.3 Market estimates and forecast, by application 2018 - 2032
- 8.3 Europe
- 8.3.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.3 Market estimates and forecast, by application, 2018 - 2032
- 8.3.4 UK
- 8.3.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.4.3 Market estimates and forecast, by application 2018 - 2032
- 8.3.5 Germany
- 8.3.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.5.3 Market estimates and forecast, by application 2018 - 2032
- 8.3.6 France
- 8.3.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.6.3 Market estimates and forecast, by application 2018 - 2032
- 8.3.7 Italy
- 8.3.7.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.7.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.7.3 Market estimates and forecast, by application 2018 - 2032
- 8.3.8 Spain
- 8.3.8.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.8.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.8.3 Market estimates and forecast, by application 2018 - 2032
- 8.3.9 Russia
- 8.3.9.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.3.9.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.3.9.3 Market estimates and forecast, by application 2018 - 2032
- 8.4 Asia Pacific
- 8.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.3 Market estimates and forecast, by application, 2018 - 2032
- 8.4.4 China
- 8.4.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.4.3 Market estimates and forecast, by application 2018 - 2032
- 8.4.5 India
- 8.4.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.5.3 Market estimates and forecast, by application 2018 - 2032
- 8.4.6 Japan
- 8.4.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.6.3 Market estimates and forecast, by application 2018 - 2032
- 8.4.7 South Korea
- 8.4.7.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.7.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.7.3 Market estimates and forecast, by application 2018 - 2032
- 8.4.8 Australia & New Zealand
- 8.4.8.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.8.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.8.3 Market estimates and forecast, by application 2018 - 2032
- 8.4.9 Southeast Asia
- 8.4.9.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.4.9.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.4.9.3 Market estimates and forecast, by application 2018 - 2032
- 8.5 South America
- 8.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.5.3 Market estimates and forecast, by application, 2018 - 2032
- 8.5.4 Brazil
- 8.5.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.5.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.5.4.3 Market estimates and forecast, by application 2018 - 2032
- 8.5.5 Argentina
- 8.5.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.5.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.5.5.3 Market estimates and forecast, by application 2018 - 2032
- 8.5.6 Chile
- 8.5.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.5.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.5.6.3 Market estimates and forecast, by application 2018 - 2032
- 8.5.7 Colombia
- 8.5.7.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.5.7.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.5.7.3 Market estimates and forecast, by application 2018 - 2032
- 8.6 MEA
- 8.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.6.3 Market estimates and forecast, by application, 2018 - 2032
- 8.6.4 UAE
- 8.6.4.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.6.4.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.6.4.3 Market estimates and forecast, by application 2018 - 2032
- 8.6.5 Saudi Arabia
- 8.6.5.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.6.5.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.6.5.3 Market estimates and forecast, by application 2018 - 2032
- 8.6.6 South Africa
- 8.6.6.1 Market estimates and forecast, by solution, 2018 - 2032
- 8.6.6.2 Market estimates and forecast, by deployment, 2018 - 2032
- 8.6.6.3 Market estimates and forecast, by application 2018 - 2032
Chapter 9 Company Profiles
- 9.1 AURES Technologies SA
- 9.1.1 Business Overview
- 9.1.2 Financial Data
- 9.1.3 Product Landscape
- 9.1.4 Strategic Outlook
- 9.1.5 SWOT Analysis
- 9.2 BBPOS Limited
- 9.2.1 Business Overview
- 9.2.2 Financial Data
- 9.2.3 Product Landscape
- 9.2.4 Strategic Outlook
- 9.2.5 SWOT Analysis
- 9.3 Bitel Co., Ltd.
- 9.3.1 Business Overview
- 9.3.2 Financial Data
- 9.3.3 Product Landscape
- 9.3.4 Strategic Outlook
- 9.3.5 SWOT Analysis
- 9.4 Diebold Nixdorf, Incorporated
- 9.4.1 Business Overview
- 9.4.2 Financial Data
- 9.4.3 Product Landscape
- 9.4.4 Strategic Outlook
- 9.4.5 SWOT Analysis
- 9.5 First Data Corporation
- 9.5.1 Business Overview
- 9.5.2 Financial Data
- 9.5.3 Product Landscape
- 9.5.4 Strategic Outlook
- 9.5.5 SWOT Analysis
- 9.6 Fujian Newland Payment Technology Co., Ltd.
- 9.6.1 Business Overview
- 9.6.2 Financial Data
- 9.6.3 Product Landscape
- 9.6.4 Strategic Outlook
- 9.6.5 SWOT Analysis
- 9.7 Ingenico Group
- 9.7.1 Business Overview
- 9.7.2 Financial Data
- 9.7.3 Product Landscape
- 9.7.4 Strategic Outlook
- 9.7.5 SWOT Analysis
- 9.8 Micros Systems, Inc.
- 9.8.1 Business Overview
- 9.8.2 Financial Data
- 9.8.3 Product Landscape
- 9.8.4 Strategic Outlook
- 9.8.5 SWOT Analysis
- 9.9 NCR Corporation
- 9.9.1 Business Overview
- 9.9.2 Financial Data
- 9.9.3 Product Landscape
- 9.9.4 Strategic Outlook
- 9.9.5 SWOT Analysis
- 9.10 New POS Technology Limited
- 9.10.1 Business Overview
- 9.10.2 Financial Data
- 9.10.3 Product Landscape
- 9.10.4 Strategic Outlook
- 9.10.5 SWOT Analysis
- 9.11 Newland Payment Technology
- 9.11.1 Business Overview
- 9.11.2 Financial Data
- 9.11.3 Product Landscape
- 9.11.4 Strategic Outlook
- 9.11.5 SWOT Analysis
- 9.12 Panasonic Corporation
- 9.12.1 Business Overview
- 9.12.2 Financial Data
- 9.12.3 Product Landscape
- 9.12.4 Strategic Outlook
- 9.12.5 SWOT Analysis
- 9.13 PAR Technology Corporation
- 9.13.1 Business Overview
- 9.13.2 Financial Data
- 9.13.3 Product Landscape
- 9.13.4 Strategic Outlook
- 9.13.5 SWOT Analysis
- 9.14 PAX Technology, Inc.
- 9.14.1 Business Overview
- 9.14.2 Financial Data
- 9.14.3 Product Landscape
- 9.14.4 Strategic Outlook
- 9.14.5 SWOT Analysis
- 9.15 Posiflex Technology, Inc.
- 9.15.1 Business Overview
- 9.15.2 Financial Data
- 9.15.3 Product Landscape
- 9.15.4 Strategic Outlook
- 9.15.5 SWOT Analysis
- 9.16 Shenzhen Xinguodu Technology Co., Ltd
- 9.16.1 Business Overview
- 9.16.2 Financial Data
- 9.16.3 Product Landscape
- 9.16.4 Strategic Outlook
- 9.16.5 SWOT Analysis
- 9.17 Shenzhen Zhengtong (SZZT) Electronics Co Ltd
- 9.17.1 Business Overview
- 9.17.2 Financial Data
- 9.17.3 Product Landscape
- 9.17.4 Strategic Outlook
- 9.17.5 SWOT Analysis
- 9.18 Square Inc.
- 9.18.1 Business Overview
- 9.18.2 Financial Data
- 9.18.3 Product Landscape
- 9.18.4 Strategic Outlook
- 9.18.5 SWOT Analysis
- 9.19 Touch Dynamic
- 9.19.1 Business Overview
- 9.19.2 Financial Data
- 9.19.3 Product Landscape
- 9.19.4 Strategic Outlook
- 9.19.5 SWOT Analysis