Report ID: UCMIG45E2139
Report ID:
UCMIG45E2139 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The voice-based payments market experienced substantial growth in recent years, with a valuation of USD 5.89 billion in 2021. Furthermore, experts predict that this market will continue to expand at a compound annual growth rate (CAGR) of 10.9% between 2022 and 2030. The adoption of voice-based payment solutions has gained momentum due to their convenience and seamless user experience. As consumers increasingly embrace voice assistants and smart devices, such as smartphones and smart speakers, the demand for voice-based payments is expected to surge. This upward trajectory showcases the immense potential of voice-based payments as a significant player in the future of global financial transactions.
This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.
Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.
The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Application Software by segment aggregation, the contribution of the Application Software in Software & Services and vendor share.
To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.
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Report ID: UCMIG45E2139