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The Telecoms services forecast for small and medium enterprises: Middle East and North Africa 2017–2022

This report analyses the demand for telecoms services by micro, small and medium-sized enterprises (SMEs), expressed in terms of revenue, connections or users, and average revenue per user (ARPU) for the Middle East and North Africa, and includes country views for Qatar, Saudi Arabia and the United Arab Emirates (UAE).


Executive summary

Executive summary: Revenue from SMEs will grow steadily as availability and demand for broadband services continues to increase

 

Regional forecasts

Operator revenue from SMEs will increase for all services except voice and messaging

Micro enterprises account for most of the revenue from SMEs but the growth rate will be higher for medium enterprises

Mobile service revenue will rise as penetration steadily increases

Growth in fixed service revenue will be primarily fuelled by a rapidly increasing number of broadband connections

Much of the growth in broadband connections will be from higher bandwidth services

The growing market for other business services offers operators an opportunity to have a share in new revenue streams from SMEs

Key other business services for operators include security, colocation and hosting, and SaaS

 

Country-level forecasts

Qatar: Revenue will begin to stagnate as voice and data connectivity services become increasingly saturated

Saudi Arabia: A decline in fixed voice will cause operator revenue to level off even as other business services gain traction

UAE: Operator revenue will continue to rise as FTTP roll-out drives up broadband penetration and ARPU

 

Forecast methodology and assumptions

Forecast methodology and assumptions: Presentation of results

Forecast methodology and assumptions: Market definition

Forecast methodology and assumptions: Modelling approach

Forecast methodology and assumptions: Mobile services

Forecast methodology and assumptions: Fixed services

Forecast methodology and assumptions: Other business services

Forecast methodology and assumptions: Geographical region

 

About the author and Analysys Mason

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