Global Automated Assurance Market Size, Growth, Covid-19 Impact and accelerated by AI/ML-driven Automation for 5G Networks

This report provides forecasts for communications service provider (CSP) spending on automated assurance and related services for 2021–2026. The automated assurance market will grow at a CAGR of 2.2% over the forecast period, accelerated by AI/ML-driven automation for 5G networks.

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This forecast report and associated data annex provide:
a detailed, 6-year worldwide forecast for spending in the automated assurance market, split into:
• four main application sub-segments: service management, intelligent performance and fault management, workforce automation and probe systems
• two delivery types: product-related and professional services (PS)
• four telecoms services: mobile, IoT, consumer fixed and business fixed
• eight geographical regions: Central and Eastern Europe (CEE), developed Asia–Pacific (DVAP), emerging Asia–Pacific (EMAP), Latin America (LATAM), the Middle East and North Africa (MENA), North America (NA), Sub-Saharan Africa (SSA) and Western Europe (WE)

an examination of the key market drivers and how they will affect spending during the forecast period.

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analysis of the business environment and regional dynamics that will influence the automated assurance market

a detailed market definition

recommendations for CSPs and vendors.

The automated assurance market will grow at a CAGR of 2.2% over the forecast period, accelerated by AI/ML-driven automation for 5G networks:
The size of the automated assurance (AA) market decreased slightly (–0.8%) in 2020 as a result of deferred investments due to the COVID-19 pandemic. However, we expect that the market will bounce back in 2021 and will grow at a CAGR of 2.2% over the forecast period.

Analysys Mason has shifted the revenue associated with network analytics from the data, AI and development platforms (DAD) segment to the service management sub-segment of automated assurance. This was done because network data analytics platforms are increasingly becoming critical enablers for assurance use cases, especially in the context of service quality monitoring and customer experience assurance.

Networks analytics platforms will increasingly be used for assurance applications during the forecast period.

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CSPs will accelerate their implementation of assurance applications that are based on horizontal network analytics platforms that ingest a range of network data sources including telemetry, probes-based wire data, active test data, SNMP and syslogs to create highly curated network data sets. The standardisation of network data that is exposed through open APIs will further aid in the democratisation of network data for consumption by AI/ML models that are used by assurance applications for training and execution.

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This release was published on openPR.