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The Telecom Analytics market is experiencing notable trends that reflect the industry's response to the evolving telecommunications landscape. One prominent trend is the increasing reliance on big data analytics to extract meaningful insights from the vast amount of data generated by telecom networks. With the exponential growth of data traffic and the proliferation of connected devices, telecom companies are leveraging advanced analytics tools to gain a deeper understanding of customer behavior, optimize network performance, and enhance overall operational efficiency.
Moreover, there is a growing emphasis on customer experience management within the Telecom Analytics market. Telecom operators are recognizing the importance of delivering exceptional services to retain and attract customers in a highly competitive environment. Analytics solutions are being employed to analyze customer interactions, preferences, and feedback, enabling telecom companies to tailor their services and improve the overall customer experience. This customer-centric approach is becoming a key differentiator in the telecom industry.
The Telecom Analytics market is also witnessing a surge in demand for predictive analytics. Telecom operators are leveraging predictive modeling and analytics to anticipate network issues, identify potential service disruptions, and proactively address them before they impact users. This proactive approach helps in minimizing downtime, improving network reliability, and ensuring a seamless communication experience for subscribers.
Another significant trend is the integration of artificial intelligence (AI) and machine learning (ML) into Telecom Analytics solutions. These advanced technologies empower telecom operators to automate complex analytical tasks, detect anomalies in network behavior, and optimize resource allocation. By harnessing the power of AI and ML, telecom companies can enhance the efficiency of their operations, reduce costs, and provide more intelligent and adaptive services to their customers.
The Telecom Analytics market is undergoing a shift towards real-time analytics capabilities. In an era where instant communication is the norm, telecom operators are investing in analytics solutions that can process and analyze data in real-time. This enables swift decision-making, rapid response to network issues, and the ability to capitalize on emerging opportunities quickly. Real-time analytics is particularly crucial for ensuring the seamless functioning of telecom networks and meeting the increasing demand for low-latency services.
Additionally, there is a growing interest in the adoption of cloud-based Telecom Analytics solutions. Cloud platforms offer scalability, flexibility, and cost-effectiveness, allowing telecom companies to efficiently manage and analyze vast amounts of data. Cloud-based solutions enable operators to overcome the challenges of data silos and legacy systems, fostering a more integrated and streamlined analytics environment.
As telecom networks transition to 5G technology, the Telecom Analytics market is witnessing increased focus on 5G network analytics. Telecom operators are leveraging analytics tools to optimize 5G network performance, enhance quality of service, and manage the complexities associated with the deployment of this next-generation technology. The rollout of 5G is driving the need for advanced analytics capabilities to unlock the full potential of this transformative technology.
Covered Aspects:
| Report Attribute/Metric | Details |
|---|---|
| Market Opportunities | · Customer Analytics Proliferation Offers Huge Opportunity |
| Market Dynamics | · Telecom sectors should make their operations more visible. |
Telecom Analytics Market Highlights:
Telecom Analytics Market Overview
Telecom Analytics Market Size was valued at USD 8.3 billion in 2022. The telecom analytics market industry is projected to grow from USD 10.0 Billion in 2023 to USD 32.4 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 21.50% during the forecast period (2023 - 2030).
Advantages of Telecom Analytics Improve the operating environment, increase sales, and better control operating costs are the key market drivers enhancing the market growth.
Figure 1: Telecom Analytics Market Size, 2023-2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Telecom Analytics Market Trends
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Increase in attacks and suspicious activities fuels market growth
The increasing need for churn prevention, increasing demand for effective revenue management, and rising attacks and suspicious activities are driving market CAGR for telecom analytics.
The telecom industry is facing numerous challenges in terms of revenue generation, social generation analytics, and customer engagement. The telecom analytics solution provides companies with Business Intelligence in order to meet complex requirements, thereby reling the demand for telecom analytics in the future. Rising attacks and suspicious activities are driving the telecom analytics market, as telecom analytics provide critical infrastructure and solutions for maintaining security. Several nations' authorities in India have begun imposing regulations for telecom sector safety.
For instance, the Indian Telecom Regulatory Authority has issued stringent rules and penalties for failing to meet the voice quality benchmark. The demand for telecom analytics is expected to rise in the future as a result of this region.
The telecom industry is facing several frauds as the adoption of mart devices and the use of IP addresses grows. As attacks can come from anywhere and at any time, increasing fraud creates a difficult problem for the telecom market, driving the demand for telecom analytics in the market to prevent these attacks.
Artificial intelligence and machine learning are cutting-edge technologies that enable real-time data processing. Telecom Analytics, situated in Al, assists in projecting outcomes by offering significant data insights. Between 2022 and 2030, Al-driven Telecom Analytics will contribute to market growth. As a result, the telecom analytics market revenue is increasing.
Telecom Analytics Market Segment Insights
Telecom Analytics Type Insights
The Telecom Analytics Market segmentation, based on type includes customer analytics, network analytics, subscriber analytics, location analytics, price analytics and service analytic. The network analytics segment presently controls the majority of the market. The segment was valued in 2021 and is predicted to increase at a strong CAGR over the projection period. The second-largest market share is held by the customer analytics segment.
Telecom Analytics Solution Insights
The Telecom Analytics Market segmentation, based on Solution, includes customer management, network management, marketing management, sales & distribution and others. In 2021, the customer management sector led the market share. This high share is primarily due to the continued growth in customer attrition. Telecom companies are investing more in client maintenance and retention. Nonetheless, the price opinion of offering solutions and services to clients has remained same, resulting in flat revenues. Despite the industry's effective customer-first management model, customer needs are rapidly evolving. To stay up, operators are making significant technology advances to reduce customer attrition.
Telecom Analytics Services Insights
The global telecom analytics industry is divided into service segments, professional Services and managed services. Over the projected period, the telecom analytics market's services sector is expected to develop at a significant rate of more than 10.0%. Telecom analytics services primarily focus on crucial concerns and opportunities in marketing, finance, technology, operations, technology, and mergers and acquisitions. This leads to greater performance, increased efficacy, increased resilience, and lower costs.
Telecom Analytics Deployment Models Insights
Based on Deployment Models, the Telecom Analytics Market data is segmented, on-premise and cloud-based. In 2021, on-premise dominated the market share. This high share is primarily due to large firms' spending in in-house software implementation. Despite the growing popularity of the cloud model, on-premise solutions may continue to meet the business demands of many enterprises. The growing necessity to secure important data is propelling the expansion of this segment.
Figure 2: Global Telecom Analytics Market, by Deployment Models, 2022 & 2030 (USD billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Telecom Analytics Regional Insights
By Region, the study provides the market insights into North America, Europe, Asia-Pacific and the Rest of the World. North America has long been the dominant player in the global telecom analytics business. The area is expected to maintain its dominance, rising at a 45.80% CAGR during the forecast period. The presence of a number of noteworthy solution providers and telecommunication enterprises in the region drives the telecom analytics market growth.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: TELECOM ANALYTICS MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe’s telecom analytics market accounts for the second-largest market share due the increasing adoption of telecom analytics by a growing number of communication service providers in the region serves as a significant tailwind for industry growth. Further, the German telecom analytics market held the largest market share, and the UK telecom analytics market was the fastest-growing market in the European region
The Asia-Pacific Telecom Analytics Market is expected to grow at the fastest CAGR from 2023 to 2030. This is due to the region is always displaying great growth opportunities. The growing demand for high-volume data storage and cloud computing are driving up the size of the telecom analytics industry. Moreover, China’s telecom analytics market held the largest market share, and the Indian telecom analytics market was the fastest-growing market in the Asia-Pacific region.
For instance, the American technology giant IBM purchased Sanovi Technologies to expand its cloud offerings. Sanovi provides enterprise data centers and cloud infrastructure with hybrid cloud recovery, cloud migration, and business continuity software.
Telecom Analytics Key Market Players& Competitive Insights
Leading market players are extensively spending in R&D to extend their product lines, which would help the telecom analytics market grow even more. Important market developments include new product releases, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other firms. To grow and survive in a more competitive and increasing market environment, the telecom analytics industry must provide cost-effective products.
Producing locally to reduce operational costs is one of the primary business strategies adopted by manufacturers in the global telecom analytics industry to serve clients and expand the market sector. In recent years, the telecom analytics industry has provided some of the most significant benefits to medicine. To strengthen their market positions, major players in the telecom analytics market, such as Nokia Networks Amdocs Inc. International Business Machine Corporation Huawei Technologies Co. Ltd Hewlett Packard Enterprise Development LP Dell Technologies Inc and others, are forming alliances and expanding their bases in developing regions.
Nokia Corporation (sometimes known as Nokia Oyj)[a] is a Finnish multinational telecommunications, information technology, and consumer electronics business founded in 1865. Nokia's primary offices are in Espoo, Finland, in the greater Helsinki metropolitan area,[3], but the company's beginnings are in the Pirkanmaa district of Tampere. NOKIA announced in April 2022 that it will deliver 7250 IXR chassis-based interconnect routers to serve high-density 400GE applications in Microsoft's 'tier-2' network architecture, bringing scalability, agility, and resilient networking to the data-center environment. Such technical advancements improve organizations' capacities to analyze huge amounts of data with relative ease, enhancing customer service and chances for client retention, and so accelerating the growth of the telecom analytics market.
Oracle Corporation is a multinational computer technology company based in Austin, Texas. Oracle was the world's third-largest software firm by sales and market capitalization in 2020. Database software and technology (particularly its own brands), cloud engineered systems, and enterprise software products such as enterprise resource planning (ERP) software, human capital management (HCM) software, customer relationship management (CRM) software (also known as customer experience), enterprise performance management (EPM) software, and supply chain management (SCM) software are all sold by the company. In July 2022, Oracle Construction Intelligence Cloud Analytics was introduced.
It addressed the challenge of integrating data from diverse applications in order to accurately diagnose problems, foresee hazards, and plan future actions encountered by engineering and construction firms. Because of the new solution, which incorporates data from Oracle Smart Construction Platform applications, owners and contractors may now have a comprehensive understanding of performance across all of their operations. Businesses can use this information to quickly identify problems, solve them, and focus on ways to drive continuous improvement throughout project planning, asset construction, and asset operation.
Key Companies in the telecom analytics market include
- Nokia Networks
- Amdocs Inc.
- International Business Machine Corporation
- Huawei Technologies Co. Ltd
- Hewlett Packard Enterprise
- Development LP Dell Technologies Inc.
- SAP SE
- Ericsson
- Cisco Systems Inc.
- Vizualytics Oracle Corporation
Telecom Analytics Industry Developments
In February 2024, Vi Business, the enterprise division of Vodafone Idea, introduced the 'Vi Business IoT Smart Central' on Monday. This platform facilitates device administration and self-care Internet of Things (IoT) connectivity. For a variety of use cases, the platform has already been evaluated and adopted by industry leaders, including the electric two-wheeler (E2W) manufacturer Revolt Motors. The Vi Business IoT Smart Central platform enables enterprises to remotely monitor, manage, and control IoT assets in real-time, according to a statement from the company. By utilizing Business IoT Smart Central, organizations can attain a holistic understanding of their IoT assets and remotely oversee and regulate the SIM lifecycle of projects ranging from straightforward to intricate, spanning numerous sectors including automotive, banking, utilities, and more. The system provides remote troubleshooting and real-time diagnosis for all IoT devices that are deployed. Proactive alerts are implemented to ensure that mission-critical issues are not overlooked.
January 2024:
The Data Intelligence Platform for Communications, an industry-specific iteration of the vendor's products designed specifically for telecommunications providers, was introduced by Databricks in January 2024. Databricks has developed the Data Intelligence Platform for Communications as its sixth industry-specific iteration. The initial iteration of the vendor's platform, designed specifically for retail enterprises, was released in January 2022. Subsequently, Databricks has expanded its platform to encompass sectors such as manufacturing, finance, healthcare and life sciences, media and entertainment, and healthcare and life sciences. Every system is composed of Databricks' standard tools that have been customized to suit the requirements of specific industry verticals.
In addition, they provide organizations in a particular industry access to governance capabilities, pertinent data sets, connectors, and partner-built data products, among other features. In addition to Snowflake, which in February 2023 introduced a data cloud version tailored for telecommunications providers, Microsoft and SAS also provide platforms with industry-specific iterations.
A new partnership between Microsoft and Orange has been announced in May 2023 to enable the latter to improve its network analysis. This will be done by employing Azure Machine Learning and the Microsoft Azure cloud platform.
March, 2023- IBM Corporation revealed plans to offer intelligent automation software for Telecom Egypt (TE) to create a single solution that supports all its operations support systems (OSS) across mobile, fixed, as well as core networks. The approach taken by Telecom Egypt is that of implementing IBM Cloud Pak for Watson AIOps on RedHat OpenShift in order to deploy an IBM Robotic Process Automation (RPA). By providing a comprehensive perspective of the whole IT environment, this solution enables TE to innovate faster, minimize operating costs and reduce the time required for troubleshooting and resolving network-related incidents.
In February 2023, Google Cloud partnered with Ericsson aimed at help telecom operators enhance their network performance and customer experience. In this case, Google Cloud will apply analytics together with machine learning abilities to help Ericsson clients gain insights into their network data.
Another example is Oracle Corporation, which announced the release of the second application in our Network Analytics portfolio in February 2023, known as Oracle Network Analytics Data Director, that lets operators flexibly incorporate their 5G cores into existing operational tools even if these tools do not include other network functions provided by Oracle. Technically speaking, it receives traffic from various sources, including Oracle’s own Service Communication Proxy (SCP) or even Network Repository Function (NRF) used within Oracle’s infrastructure towards subscriber applications deployment. The encryption technique allows end-users to secure incoming and outgoing data throughout their entire journey.
IBM also recently announced a partnership with AT&T in February 2022 that would assist AT&T to advance further its network analytics abilities through using IBM Watson AI partner technology to determine how AT&T can improve output quality based on feedback given from examining their computerized data about networking.
Telecom Analytics Market Segmentation
Telecom Analytics Type Outlook
- Customer Analytics
- Network Analytics
- Subscriber Analytics
- Location Analytics
- Price Analytics
- Service analytic
Telecom Analytics Solution Outlook
- Customer Management
- Network Management
- Marketing Management
- Sales & Distribution
- Others
Telecom Analytics Market By Services Outlook
- Professional Services
- Managed Services
Telecom Analytics Market By Deployment Models Outlook
- On-Premise
- Cloud-Based
Telecom Analytics Regional Outlook
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North America
- US
- Canada
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Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
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Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Australia
- Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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