The Impact of Automation and Virtualization on Telecommunication Networks
In recent years, the widespread use of the internet has greatly affected the telecom industry, with over 45% of the global population accessing the internet in 2016. This surge in internet usage has led to the development of various mobile applications, including e-commerce, social media, and online videos. The evolution of telecom networks, such as LTE, WiMax, and HSPA, has played a crucial role in facilitating this growth, ultimately increasing web traffic. In response to these changes, mobile operators are increasingly focusing on automated solutions like AI, machine learning, and data analytics.
Automated solutions offer several benefits, such as enhancing operational efficiency and improving customer experience by understanding customer preferences. For example, recommendations and in-app advertisements on mobile applications are outcomes of automated solutions integrated with network analytics. Notably, telecom operators like Telefónica, Vodafone, Deutsche Telekom, and Telenor have introduced their chatbots and digital assistants to improve customer interactions. The growing adoption of automation and virtualization is expected to drive the network analytics market forward.
The demand for maintaining Quality of Experience (QoE) has risen alongside advancements in wireless infrastructure, including Wi-Fi access, 4G networks, VoLTE, edge computing, and carrier aggregation. These technologies, while enhancing network capabilities, pose challenges for telecom operators in delivering quality services. Users may encounter issues such as low-quality videos and extended buffer times for video streaming, affecting the overall service quality. Therefore, ensuring QoE and Quality of Service (QoS) has become crucial for managing networks, especially with the increasing number of smartphone users and improving network connectivity.
Telecom operators face the challenge of integrating new elements and technologies into their existing network infrastructure to enhance the user experience. With the rise in competition among service providers, end-users are becoming more discerning in selecting networks that offer an improved user experience. In this context, QoE becomes essential for telecom operators to expand their customer base. The adoption of network analytics, including predictive analytics and integration with machine learning and artificial intelligence, is viewed as a value-added feature. This advanced analytics infrastructure enhances data sources and employs customer-centric QoE-based techniques, expected to improve end-to-end network performance in the coming years.
The global network analytics market makes use of advanced degrees of analytical tools, as well as, applications. There is a huge issue when it came to the analysis of huge quantum of network data structures based on real-time, and hence, there is a raising need for analytical applications in the global market. An increase in the wide-scale adoption of the techniques for cloud computing in different operation sectors is helping the acceleration of the market on the global scale. The use of network analytics will help in getting away with the issues related to deployment and delays related to infrastructural needs.
The network optimization techniques will help in boosting the network analytics market sales. The main agenda of the market is to reduce the network-related complexities due to the emergence of new entries in the market like 5G, IoT, as well as, cloud.The Network Analytics Market industry is projected to grow from USD 2.30 Billion in 2023 to USD 15.71 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 23.80% during the forecast period (2024 - 2032).
Figure 1: Network Analytics Market Size, 2023-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The network analytics business plays a vital role in the provision of data and network-related solutions like intelligence and management of professional services. The CSP Network Analytics operations provide the user with an ability for better planning and management of the network capacity. This stands to be one of the main priorities for the providers dealing in communication services. This is one of the driving forces for the market growth by the end of the forecast year of 2022 and will help the market grow as per the expected CAGR rate.
The global analytics market report depicts that there is a huge growth expected by the market by the end of the global forecast to 2022. The analytics technology is used to perform advanced levels of traffic forecasting that comes inclusive of the device performance, and data load forecasting. The application performance for user behavior is also enhanced. The network optimization helps in delivering the analytics market services for a mass customer benefit, thus, fueling its growth by the end of the global forecast of 2022. The main reason behind this is the growing need for autonomous networks, as well as, self-manged. A rising number of the distributed denial of service (DDoS) attacks’ extended support to the network analytics market is expected to help it grow.
The global analytics market report depicts that network analytics aims to retain its customers by providing them with a better experience of using the network analysis. The network optimization helps to overcome the threat that comes tagged along with the leaking of the critical information of the organizations. This problem is being majorly solved with the wide adoption of analytic solutions in networking. Also, the users can now secure their confidentiality solutions with the help of network analytic solutions.
Solution and services, end-users, deployment, as well as, organization size are the different network analytics market segments.
The market segment includes the network intelligence solutions, as well as, the professional and managed services for the users.
The deployment is based on the cloud and on-premises.
The network analytics market trends are prevalent to different organization sizes like small, and medium enterprises, as well as, large businesses.
The end-users of the market are inclusive of the communication service providers (CSP), BFSI, healthcare and government sector, media and entertainment industry, cloud service, and managed service providers.
The network analytics industry includes the regions like North America, and Europe, Asian-Pacific regions, along the rest of the world. North America is expected to have the largest share in the market by the end of the forecast year to 2022. The main reason behind this is the wide adoption and implementation of these solutions. Also, the North American government is investing in making the scalable infrastructure available, leading to higher technology adoption on a worldwide scale. Also, the network analytics market trends are expected to undergo a steady growth in the European market.
A positive quantum of growth is also expected by the Asian-Pacific regions. This is a result of factors like the rising in smartphone penetration, investment in infrastructure on a large scale by both the cloud, as well as, the managed service providers. All these geographical regions, as well as, the growth strategies taken by them, will help the market to reach a global valuation worth USD 3.1 billion.
The projected growth of the network analytics market is a result of the inputs in terms of product portfolio launches, and developments, undertaken by the key market players of both the regional and global landscape. These include:
Accenture PLC (Ireland)
Tibco Software (U.S.)
Brocade Communications Systems, Inc. (U.S.)
IBM Corporation (U.S.)
Bradford Networks, Inc. (U.S.)
HP (U.S.)
Allot Communication (Israel)
Juniper Networks (U.S.)
Tibco Software (U.S.)
Alcatel-Lucent S.A. (France)
Cisco Systems, Inc. (U.S.)
Ascom Holdings AG (Switzerland)
Sandvine Inc. (Canada)
These companies are adopting growth strategies on a large scale to increase their domination in the market. These growth strategies are both organic, and inorganic, and are being adopted to improve to strengthen the market operations by the end of the future forecast year of 2022.
With the spread of the global pandemic, many productions, and manufacturing units had to hand over their working and production levels to COVID 19. With the imposition of lockdown, and major companies switching to the work-from-home, from different remote locations, there is a rising need for the network analytics business. There is an increased demand for digital transformation, along with remote services, and data location services.
The target audience requires information for tracking and monitoring the impact of the spread of COVID 19 amongst individuals, as well as, economies. Also, the key market players and governments are increasing the value of investments in the field of analytics, thus helping the companies to conduct extended research and development opportunities relating to real-time data for purpose of tracking, and monitoring.
The global network analytics market analysis aims to provide detailed information about the market structure and predict a growth forecast of its segments, and sub-segments. The report aims to provide the historic, and future forecast revenues that apply to different market companies, and their segments, functioning in 4 main geographical locations of the world, are Asian-Pacific nations, Europe, North America, as well as, the rest of the world.
The report also discusses the track taken by the key market players to ace in the competition by entering into joint ventures, company mergers, takeovers, as well as, acquisitions. Some of the companies are also working on their product portfolio and investing in key areas like research, and development, by collaborating with the government sector. The report also predicts an excellent CAGR growth and market valuation, by the end of the global forecast to 2022.
Feb 2024:
Cisco introduces new integrations across networking and security portfolios, enhancing security, automation, and a unified digital experience for users. These innovations include deeper integrations with Cisco Secure Access and cloud monitoring for Catalyst Wireless, enabling improved visibility and security posture reporting. The advancements aim to provide a unified and integrated approach to managing and securing customer networks, leveraging AI-driven technologies for enhanced network analytics and optimization.
January 2024:
Juniper Networks introduces the industry's first AI-Native Networking Platform, utilizing AI to enhance end-to-end operator and end-user experiences. The platform unifies campus, branch, and data center networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA). It aims to provide deep insight, automated troubleshooting, and seamless networking assurance, leading to up to 85% lower operational expenditures and significant reductions in network trouble tickets and incident resolution times. These advancements reflect a trend towards AI-driven solutions in the network analytics market, emphasizing optimization of network performance and reliability.
April 2023:
HPE Aruba Networking introduces AIOps-driven cloud management and Network-as-a-Service (NaaS) capabilities on HPE GreenLake. The innovations aim to simplify network operations, leverage AI for IT operations, and align with Aruba’s edge-to-cloud strategy. These advancements empower IT teams to manage complex networks more effectively, improve productivity, and deliver business outcomes faster.
November 2023:
Cisco's integration with AWS enhances cloud visibility and network analytics. ThousandEyes and CloudWatch Internet Monitor provide comprehensive insights for AWS-hosted applications. This collaboration empowers users to optimize deployments and ensure exceptional digital experiences. It underscores the significance of network analytics in modernizing application performance and reliability.
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