| Product Code: ETC4383800 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
The mobile commerce (m-commerce) market in Hungary is experiencing rapid growth driven by increasing smartphone penetration, mobile internet usage, and e-commerce adoption. Consumers are increasingly using mobile devices for shopping, banking, and other transactions, creating opportunities for businesses to enhance their mobile presence and offer convenient mobile shopping experiences. With the proliferation of mobile apps and mobile payment solutions, the m-commerce market is poised for further expansion.
The proliferation of smartphones and mobile internet connectivity is driving the growth of mobile commerce (m-commerce) in Hungary. Consumers are increasingly using mobile devices for online shopping, payments, and banking transactions, prompting businesses to invest in mobile-friendly platforms and marketing strategies to capitalize on this trend.
In the Hungary M Commerce Market, overcoming barriers to mobile payment adoption and ensuring a seamless user experience across different devices and platforms are key challenges for businesses. While mobile commerce offers convenience and flexibility for consumers, concerns about security and data privacy may hinder adoption rates. Moreover, addressing infrastructure limitations, such as internet connectivity and mobile network coverage, in rural areas is essential to unlock the full potential of mobile commerce in Hungary.
The Hungary government has implemented policies to promote the growth of the mobile commerce (m-commerce) market, encourage digital innovation, and enhance consumer protection. These policies include measures to facilitate mobile payments, improve mobile internet infrastructure, and regulate mobile commerce platforms to ensure security and privacy.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Hungary M Commerce Market Overview |
3.1 Hungary Country Macro Economic Indicators |
3.2 Hungary M Commerce Market Revenues & Volume, 2021 & 2031F |
3.3 Hungary M Commerce Market - Industry Life Cycle |
3.4 Hungary M Commerce Market - Porter's Five Forces |
3.5 Hungary M Commerce Market Revenues & Volume Share, By Transactions, 2021 & 2031F |
3.6 Hungary M Commerce Market Revenues & Volume Share, By Payment Modes, 2021 & 2031F |
3.7 Hungary M Commerce Market Revenues & Volume Share, By Users, 2021 & 2031F |
4 Hungary M Commerce Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing smartphone penetration in Hungary |
4.2.2 Growing internet usage and mobile data consumption |
4.2.3 Rising demand for convenience and time-saving shopping options |
4.3 Market Restraints |
4.3.1 Concerns over data security and privacy issues |
4.3.2 Limited availability of high-speed internet in rural areas |
4.3.3 Lack of awareness and trust in mobile payment systems |
5 Hungary M Commerce Market Trends |
6 Hungary M Commerce Market, By Types |
6.1 Hungary M Commerce Market, By Transactions |
6.1.1 Overview and Analysis |
6.1.2 Hungary M Commerce Market Revenues & Volume, By Transactions, 2021-2031F |
6.1.3 Hungary M Commerce Market Revenues & Volume, By M Retailing, 2021-2031F |
6.1.4 Hungary M Commerce Market Revenues & Volume, By M Ticketing/Booking, 2021-2031F |
6.1.5 Hungary M Commerce Market Revenues & Volume, By M Billing, 2021-2031F |
6.1.6 Hungary M Commerce Market Revenues & Volume, By Other M Commerce Services, 2021-2031F |
6.2 Hungary M Commerce Market, By Payment Modes |
6.2.1 Overview and Analysis |
6.2.2 Hungary M Commerce Market Revenues & Volume, By Near Field Communication (NFC), 2021-2031F |
6.2.3 Hungary M Commerce Market Revenues & Volume, By Premium SMS, 2021-2031F |
6.2.4 Hungary M Commerce Market Revenues & Volume, By Wireless application protocol (WAP), 2021-2031F |
6.2.5 Hungary M Commerce Market Revenues & Volume, By Direct Carrier Billing, 2021-2031F |
6.3 Hungary M Commerce Market, By Users |
6.3.1 Overview and Analysis |
6.3.2 Hungary M Commerce Market Revenues & Volume, By Smart device users, 2021-2031F |
6.3.3 Hungary M Commerce Market Revenues & Volume, By Feature phone users, 2021-2031F |
7 Hungary M Commerce Market Import-Export Trade Statistics |
7.1 Hungary M Commerce Market Export to Major Countries |
7.2 Hungary M Commerce Market Imports from Major Countries |
8 Hungary M Commerce Market Key Performance Indicators |
8.1 Average order value in mobile commerce transactions |
8.2 Percentage of repeat customers in m-commerce platforms |
8.3 Average time spent by users on mobile shopping apps |
8.4 Conversion rate from mobile app visits to purchases |
8.5 Number of active users on mobile commerce platforms |
9 Hungary M Commerce Market - Opportunity Assessment |
9.1 Hungary M Commerce Market Opportunity Assessment, By Transactions, 2021 & 2031F |
9.2 Hungary M Commerce Market Opportunity Assessment, By Payment Modes, 2021 & 2031F |
9.3 Hungary M Commerce Market Opportunity Assessment, By Users, 2021 & 2031F |
10 Hungary M Commerce Market - Competitive Landscape |
10.1 Hungary M Commerce Market Revenue Share, By Companies, 2024 |
10.2 Hungary M Commerce Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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