The report provides complete analysis and forecast for the A2P SMS market which is segmented by applications and end use industries of the A2P SMS market. Key trends prevailing in the market have been mentioned in the report along with the key factors influencing growth of the market. The report also tracks the opportunities in the A2P SMS market globally. The report offers geographic analysis for the market across North America, Europe, Asia Pacific, Middle East & Africa, and South America regions. In 2016, Asia Pacific dominated the market and gathered 40% of the overall market revenue share, followed by North America that accounted for 28% share of the global market revenue.
The Asia Pacific region is likely to retain its leading position throughout the forecast period, with notifiable rise in global A2P SMS revenue share in 2024. With the introduction of innovative messaging platforms with advanced APIs and messaging gateways A2P messages have become easy and convenient to use. These platforms and gateways simplify the process of creating applications which are further used for generation of A2P SMS. The increased demand for A2P SMS for applications such as push content services, interactive services, promotional campaigns, customer relationship management services and inquiry related services in Asia Pacific, is driving the growth of the market. Additionally, mobile value added services (MVAS), which are a key factor responsible for the growth of the A2P SMS market, are also slated to grow during the forecast period. The Asia Pacific A2P SMS market is forecast to grow to US$ 36.61 Bn in 2024, recording a CAGR of 4.8% from 2018 to 2024. The market was valued at US$ 23.96 Bn in 2018.
The growth is mainly attributed to the rising number of mobile phone users in the region, which has directly led to growth in the total number of SMS exchanged. Emerging markets such as India and China have also witnessed proliferation in the number of mobile subscribers. The A2P SMS market in North America is characterized by a range of factors such as presence of presence of big players, increasing need for A2P messaging platforms majorly by financial institutions and banks, and rising number of application areas for these platforms. Therefore, the A2P SMS market in the region is analyzed to see rise in volume of A2P SMSs being sent, with estimated CAGR of 4.2% from 2017 - 2024. The U.S. alone is expected to account for approximately 80% of the total A2P SMSs being sent in 2024 of the North American A2P SMS market. In 2016, Europe accounted for 21% of the global A2P SMS market revenue share. The market in Europe is likely to grow at a moderate rate with a CAGR of 3.6%.
Germany and France are among the top A2P and P2A SMS markets in Europe. Further, according to DIMOCO, (a mobile payments and mobile messaging company from Austria) growth in number of mobile subscribers and SMS traffic are factors that are driving and will continue to drive the A2P SMS market in Europe. This in turn is expected to benefit software developers, messaging integrators, and SMS aggregators. This rise is attributed to a variety of factors such as optimum transmission speed, easy integration with customer’s applications, and high security standards.
The key players were profiled based on their developments, revenues and delivery capacity of messages in the A2P SMS market. It also offers competitive landscape which encompasses the market positioning, strategies adopted by the players, and their recent developments.
Rest of North America
Rest of Europe
Rest of Asia Pacific
Middle East & Africa
Rest of Middle East & Africa
Rest of South America
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Secondary Research or Desk Research
Distinctive Data Model
Secondary Sources include but are not limited to:
Past Published Research
Historical Data and Information
Primary Sources include but are not limited to:
InsightSLICE also leverages three types of data triangulation approaches as follows:
Data Source Triangulation
Extracting data and validation from multiple type of secondary and primary sources
Combining various methodologies to validate data inputs
Applying different theories to check credibility of data sets