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CSP Network Analytics Market Share

ID: MRFR//4824-CR | 109 Pages | Author: Ankit Gupta| July 2018

Introduction: Navigating the Competitive Landscape of CSP Network Analytics

The competitive momentum in the CSP network-analytics market is being reshaped by the rapid technological change, by the regulatory changes and by the consumers' expectations of a continuous and uninterrupted connection. The major players, including the equipment manufacturers, the IT systems integrators, the network operators and the new AI startups, are all striving for leadership by deploying the most advanced analytics and automation tools. The equipment manufacturers are focusing on integrating IoT and biometrics to enhance the end-user experience, while the IT systems integrators are putting an emphasis on interoperability and data security. The new AI-driven analytics are becoming the key differentiator, enabling real-time insights and predictive maintenance, which are essential for enhancing operational efficiency. In 2024–2025, the major growth opportunities will be in Asia–Pacific and Latin America, where the strategic deployment of greener and next-generation solutions will be a source of competitive advantage. CSPs need to be aware of these trends in order to anticipate and navigate the rapidly changing landscape.

Competitive Positioning

Full-Suite Integrators

These vendors provide comprehensive solutions that integrate various aspects of network analytics for CSPs.

VendorCompetitive EdgeSolution FocusRegional Focus
Accenture Plc Strong consulting and integration capabilities End-to-end network analytics solutions Global
IBM Corporation Advanced AI and data analytics expertise AI-driven network management Global
Cisco Systems Inc. Robust networking hardware integration Network performance and security analytics Global

Specialized Technology Vendors

These vendors focus on niche technologies that enhance specific aspects of network analytics.

VendorCompetitive EdgeSolution FocusRegional Focus
SAS Institute Inc. Leading analytics software solutions Predictive analytics for network optimization Global
Tibco Software Real-time data integration capabilities Data analytics and visualization Global
Allot Corporation Focus on network intelligence and security Traffic management and analytics Global
Sandvine Corporation Deep packet inspection technology Network policy and analytics Global

Infrastructure & Equipment Providers

These vendors supply the hardware and infrastructure necessary for effective network analytics.

VendorCompetitive EdgeSolution FocusRegional Focus
Nokia Corporation Strong telecom infrastructure expertise Network performance and analytics solutions Global
Juniper Networks Inc. High-performance networking solutions Network routing and analytics Global
Broadcom Ltd. Leading semiconductor technology Network hardware and analytics Global

Emerging Players & Regional Champions

  • Netguardians (Switzerland): specializes in network security and fraud prevention through artificial intelligence. It recently entered into a partnership with a Swiss telecommunications company to improve its security. Its agile and individualized solutions are a threat to established suppliers.
  • CSP Analytics (India): This company specializes in real-time network performance monitoring and in real-time and predictive analysis. It has recently implemented a solution for a leading Indian telecommunications company, and it complements established vendors with cost-effective and localized solutions.
  • The Company: TelcoIQ (Brazil). The Company: TelcoIQ (Brazil). The Company: Cloud-based tools for network optimization and customer experience analysis. The Company: Cloud-based tools for network optimization and customer experience analysis. The Company: Cloud-based tools for network optimization and customer experience analysis.
  • Datamesh, from South Africa: Datamesh has developed advanced visualization and reporting tools for network analytics. The company has recently teamed up with a South African operator to improve the data-driven decision-making of the operator. The Datamesh platform complements the tools provided by established vendors with its easy-to-use, graphical interface.

Regional Trends: In 2023, the trend of localizing the CSP Network Analytics will continue to increase, with emerging players focusing on the needs and regulatory requirements of specific regions. Artificial intelligence and machine learning will be increasingly adopted in Europe and Asia. To improve efficiency and customer experience, operators will turn to these solutions. Also, cyber-security and fraud analytics will be increasingly used as a result of the growing concern about data breaches and fraud.

Collaborations & M&A Movements

  • Cisco and Accenture entered into a partnership to develop advanced network analytics solutions aimed at enhancing operational efficiency for CSPs, thereby strengthening their competitive positioning in the telecom sector.
  • Nokia acquired the analytics firm Elenion Technologies to bolster its CSP network analytics capabilities, aiming to improve network performance and customer experience in a market increasingly focused on data-driven insights.
  • Ericsson and Google Cloud announced a collaboration to integrate AI-driven analytics into CSP operations, enhancing their service offerings and positioning themselves as leaders in the digital transformation of telecommunications.

Competitive Summary Table

CapabilityLeading PlayersRemarks
Biometric Self-Boarding Gemalto, SITA Having installed biometric self-boarding solutions in several airports, Gemalto has been able to improve the flow of passengers and reduce waiting times. SITA’s Smart Path technology has been adopted by several major airlines and has demonstrated its effectiveness in improving the boarding process.
AI-Powered Ops Mgmt IBM, Cisco IBM’s Watson supercomputer has been used to carry out a series of statistical operations to help optimize the allocation of the resources of the air transport industry. Cisco’s network tools have been used to help manage the airport, leading to a reduction in operating costs and improved efficiency.
Border Control NEC, Thales Various countries have been equipped with NEC's biometric border control system, which has made the process of entering and leaving much easier. Thales has developed a comprehensive border security system, which uses artificial intelligence to detect threats in real time and enhance national security.
Sustainability Airbus, Boeing Airbus is the pioneer in the field of sustainable aviation fuels, and its aircraft are among the most energy-efficient. At the same time, the ecoDemonstrator program showcases the latest innovations in the field of improved environmental performance in aviation.
Passenger Experience Amadeus, Travelport The Amadeus platform, which provides a unified, personalised and integrated service, is a comprehensive solution for the management of travel and for delivering an excellent passenger experience. The technology developed by Travelport – Smartpoint – further enhances the booking experience and provides travel agencies with the tools to offer a tailor-made service.

Conclusion: Navigating the CSP Network Analytics Landscape

In 2023, the CSP Network Analytics market will be characterized by a very high degree of competition and a significant degree of fragmentation, with both old and new companies competing for dominance. The localization of the solution will be accompanied by the adaptation of the solution to the local needs and regulatory environment. The large players will be able to rely on their existing structures and integrate new capabilities. The new companies will focus on innovation in the fields of artificial intelligence, automation and the environment. Offering a flexible, scalable solution will be essential for a company wishing to be a leader in the market. As the market evolves, the priorities of the investments in the key capabilities will have to be adapted to the complexity of the market and the new opportunities.

Covered Aspects:
Report Attribute/Metric Details
Base Year For Estimation 2022
Historical Data 2018- 2022
Forecast Period 2023-2032
Growth Rate 16.28% (2023-2032)
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