The need to reduce customer churn and increase customer satisfaction, growth in need to automate workflow and streamline telecom analytics operations, increase in demand for fraud detection due to network attacks, a surge in adoption of customer-centric strategies, as well as rise in awareness about the benefits of telecom analytics are the major factors that fuel the growth of the telecom analytics market. However, lack of awareness about telecom analytics solution is expected to hinder the telecom analytics market growth. On the contrary, integration of new technologies such as machine learning and AI in telecom analytics is expected to provide lucrative opportunities for the market growth in the coming years.
The telecom analytics market is segmented on the basis of component, deployment, organization size, application, and region. By component, the market is categorized into solution and service. On the basis of deployment, it is classified into on-premise and cloud. As per organization size, market is divided into large enterprises and small & medium sized enterprises (SMEs). Depending on application, it is divided into customer management, network management, sales & marketing management, risk & compliance management, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The company profiles of telecom analytics market players included in this report are SAP SE, Oracle, SAS Institute, Teradata, Tibco, Adobe, Cisco, IBM, Tableau, and Sisense.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the global telecom analytics market along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restrains, and opportunities and their impact analyses on the market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global telecom analytics market from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS
By Component
- Solution
- Services
By Deployment
- Cloud
- On-premise
By Organization Size
- Large enterprises
- Small & Medium sized Enterprises (SMEs)
By Application
- Customer Management
- Network Management
- Sales & Marketing Management
- Risk & Compliance Management
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS
- SAP SE
- Oracle
- SAS Institute
- Teradata
- Tibco
- Adobe
- Cisco
- IBM
- Tableau
- Sisense
Table of Contents
Executive Summary
According to the report titled 'Telecom analytics Market by Component, Deployment, Organization Size, and Application: Global Opportunity Analysis and Industry Forecast, 2019-2026', the global market was valued at $3.52 billion in 2018, and is projected to reach $9.89 billion by 2026, growing at a CAGR of 13.9% from 2019 to 2026.Telecom analytics includes sophisticated business intelligence technologies that are bundled to complete the complicated necessities of telecom organizations. These include dropping churn and fraud, increase in sales, enhancement in risk management, and decline in operational costs. Moreover, this telecommunication analytics enables the trend analysis and auto suggestions for resolving the frequently arising complaints based on the previously stored data and their solution, which drives the market growth. In addition, rise in focus on adopting customer-centric strategies and need for network optimization, propels the market growth. Use of AI and machine learning in multiple aspects of the telecom business for enhancing customer experience and predictive maintenance for improving network reliability is expected to offer lucrative opportunities for the telecom analytics market during the forecast period. In addition, market players are adopting various business strategies to strengthen their foothold in the market and increase their market penetration. AI-based predictive analytics can help telecom companies provide better services by fixing problems beforehand with communications hardware; monitoring the state of equipment, predicting catastrophe based on patterns.
The cloud segment dominated the telecom analytics market in 2018, and is projected to maintain its dominance during the forecast period. This is attributed to key benefits offered by cloud-based software for businesses such as unlimited accessibility, low cost, and ease of implementation. Cloud deployment is also expected to gain traction in the coming years owing to the need for more agility, scalability, and increase in amount of data generated in the telecom sector.
The network management segment held the majority of global telecom analytics market share in 2018 and is projected to maintain its dominance during the forecast period. However, the risk & compliance segment is expected to witness the highest growth rate, as the telecommunication industry is experiencing the threat of cyber-attacks & data breaches.
Region wise, the global market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the telecom analytics market growth in this region include a surge in adoption of advanced technologies such as AI & machine learning by telecom operators in this region, great awareness about the advantages of adopting big data analytics among CSPs, presence of fastest connectivity services and major adoption of 5G and presence of large number of key vendors in this region. However, Asia-Pacific is expected to witness highest growth, owing to continuous increase in number of mobile device users, rise in number of internet subscribers, and a surge in competition among telecom operators to offer faster connectivity in cheaper rates, and others. In addition, increase in spending for customer experience by telecom organizations across the developing countries such as India and Japan boosts the market growth.
Key findings of the study:
Depending on component, the solution segment led the telecom analytics market size in terms of revenue in 2018.
By deployment, the cloud segment accounted for the highest market share in 2018.
Based on organization size, large enterprises dominated the telecom analytics market share in year 2018.
Region wise, North America generated the highest revenue in 2018; however, Asia-Pacific is anticipated to exhibit substantial growth during the telecom analytics market forecast period.
Depending on application, the network management segment is anticipated to exhibit substantial growth during the forecast period.
The global telecom analytics market analysis includes some of the key market players such as SAP SE, Oracle, SAS Institute, Teradata, Tibco, Adobe, Cisco, IBM, Tableau, and Sisense.
Companies Mentioned
- SAP SE
- Oracle
- SAS Institute
- Teradata
- Tibco
- Adobe
- Cisco
- IBM
- Tableau
- Sisense.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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