Overview:
The telecom analytics market is expected to reach US$ 16.61 Bn in 2030, growing at a CAGR of 14.0% during the forecast period from 2023 to 2030. The advent of big data analytics have changed the way telecom sectors are managing their operations. The massive amount of data created by telecom devices users is a goldmine for telecom companies. This unstructured data when converted into structured data (with the help of data analytics) will helps in finding meaningful insights and form customer-centric KPIs of their customers. Data analytics helps operators to enhance their service, customer experience and revenue management. These benefits offered by data analytics in telecom sector has increased its demand in recent years.
With the advancement in 5G network along with rising penetration of smartphones and IoT devices, data generation is expected to widespread in the coming years. About 2.54 Quintillion bytes of data was created worldwide every day in the year 2018. By 2020, it is estimated that 1.7 MB of data will be created every second by each person across the world. Subsequently, telecom analytics is expected to register profound penetration across the world during the forecast period. Telcos can provide Data Analytics as a Service (DAaaS) to other industries such as healthcare, retail, financial services and advertising, etc. and generate new stream of revenue without investing much.
Cloud-based Segment accounted for the Largest Market Share in 2018
Based on deployment type, cloud-based segment has major share in telecom analytics market in 2020. Cloud-based analytics provides readily available data models, servers, advanced tools and analytics. This saves time and money for building infrastructure like in case of on-premise analytics. Cloud-based analytics offers real-time access to data for broader user base. These solutions are high powered and can deliver result in no time. In cloud platform, unlimited data storage limit is available on demand unlike on-premise platform where there is limit on storage capacity and performance. Subsequently, cloud-based analytics segment would continue leading the market registering high growth rate.
North America Gathered Largest Market Share in 2018
In 2020, North America led the telecom analytics market worldwide. The region is expected to witness considerable growth during the forecast period from 2023 to 2030. Many telecom operators are situated in North America and there is growing competition among these players to increase their number of subscribers. By 2020, more than 30% of market share is captured by this region.
As of 2019, more than 90% of Americans use internet for communication which is more than 275 million people. Millions of GB data created by these users is used for analyzing the customer choices and personality. Large number of internet users in the region and their creation of huge data has forced the players to invest in telecom analytics to stay competitive in the big market of North America. This in turn helps to grow the telecom analytics market in North America.
Competitive Insights
Major players profiled in telecom analytics market include IBM, Oracle Corporation, SAP SE, Adobe Inc., Tableau Software, Alteryx, Inc., MicroStrategy Incorporated, Sisense, Inc., Teradata Corporation, Micro Focus International plc, TIBCO Software Inc., OpenText Corporation and Panorama Software, etc. among others. These companies are adopting several strategies such as merger and partnership for gaining larger share of the market.
For instance, in July 2019, TIM S/A, a top telecom provider in Brazil has deployed Customer Experience Management (CEM) solutions of OpenText Corporation. With this deployment the 18 million subscribers of TIM S/A can access their telecom bills via digital devices on demand.
Furthermore, in May 2019, Sisense, Inc. announced the merger of Periscope Data to deliver analytics and business intelligence platforms. With this merger, Sisense, Inc. will provide platform to builders which will help in transforming complex data into AI-powered applications.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Telecom Analytics market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
| ATTRIBUTE | DETAILS |
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| Research Period | 2022-2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Year | 2022 |
| Unit | USD Million |
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Region Segment (2022-2032; US$ Million)
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Key questions answered in this report
