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AI and Analytics: Worldwide Forecast 2018-2022

  • ID: 4700923
  • Report
  • November 2018
  • Region: Global
  • 23 pages
  • Analysys Mason Group
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"The shift to analytics-based solutions is helping to replace smaller, ad-hoc in-house systems with enterprise-strength solutions."

As the use of data analytics builds, revenue is expected to grow. However, tools that are open-source and increasingly require self service help to reduce significant increases in overall market size.

This forecast report provides:

  • a detailed, 5-year worldwide forecast for spending in the AI and analytics systems market, split into:
    • three application segments: business analytics, revenue assurance and network analytics
    • two delivery types: product-related and professional services
    • 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 key market drivers and inhibitors, and how they will change during the forecast period
  • analysis of the business environment and regional dynamics that will influence the automated assurance systems market
  • a detailed market definition
  • recommendations for CSPs and vendors.

Key Questions Answered in this Report

  • What is the overall size of the telecoms artificial intelligence (AI) and analytics software market and what will be the key drivers of growth in the next 5 years?
  • How will spending vary across different sub-segments of the analytics software market?
  • How will spending vary across different regions and service types?
  • What are the major drivers and inhibitors that will affect growth rates of CSP spending on analytics systems?
  • What is the impact of software-as-a-service (SaaS) solutions?
  • Will AI have any impact in the next 5 years?


  • Vendor strategy teams that need to understand how spending is shifting from best-of-breed point solutions to telecoms AI ecosystems-based approaches.
  • Product management teams responsible for feature functionality and geographical focus, and product marketing teams responsible for growth.
  • CSPs that are planning a rationalisation of point solutions and are executing their digital transformation journeys, and want to ensure that they remain up to date.
  • Professional services vendors that want to understand the growth opportunities over the next 5 years.

Sub-Segment Coverage

  • Business analytics
  • Revenue assurance
  • Network analytics
Note: Product cover images may vary from those shown
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Executive summary
Market drivers and inhibitors
Business environment
Market definition
About the Author

Note: Product cover images may vary from those shown
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