Telecom Analytics Market Share, Sales & Trends – 2033

Q: How Big is the Telecom Analytics Market in 2023?

The market is valued at US$ 6.21 billion in 2023. Read Report

Telecom Analytics Market Snapshot (2023 to 2033)

The telecom analytics market analysis report by Future Market Insights shows that the global telecom analytics market is estimated to reach US$ 6.21 billion in 2023. The projected market growth from 2023 to 2033 is expected to be 13.9%. Telecom analytics software is expected to be the highest revenue-generating segment, projected to record a CAGR of over 13.5% from 2023 to 2033.

Attributes	Details
Global Telecom Analytics Market Size (2023)	US$ 6.21 billion
Global Telecom Analytics Market Size (2033)	US$ 22.91 billion
Global Telecom Analytics Market CAGR (2023 to 2033)	13.9%
United States Telecom Analytics Market Size (2033)	US$ 7.1 billion
United States Telecom Analytics Market CAGR (2023 to 2033)	13.4%
Key Companies Covered	SAP Oracle IBM SAS Institute Adobe Cisco Teradata Micro Focus TIBCO MicroStrategy Tableau Panorama Software Qlik OpenText Alteryx Sisense

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Revenue Of Telecom Analytics Market From 2018 to 2022 Compared To Demand Outlook For 2023 to 2033

As per the telecom analytics market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2018 to 2022, the value of the telecom analytics market increased at around 11.8% CAGR.

The rising need for customer churn prevention, demand for better revenue control, increased cyber threats, and unusual activities are projected to drive market expansion. However, telecom operators' lack of understanding of telecom analytics is projected to limit market growth.

Furthermore, the importance of Private Branch Exchange (PBX) in internal systems, mobile device vulnerabilities, and customer and network data analytics to develop a focused upselling plan for successful subscriber engagement is projected to offer growth to the market.

Factors Propelling the Telecom Analytics Demand

The adoption of analytics products and services by telecom providers has been enormously successful. One of the primary reasons predicted to fuel the market's development prospects during the projected period is the increased implementation of telecom analytics for lowering churn and enhancing customer loyalty.

As per Quantzig, telecom businesses may cut customer turnover by 50% while increasing recurring customers by 15%. Therefore, telecom service providers employ analytics tools to improve customer service, minimize revenue losses, and cut sales and marketing expenses.

The demand to optimize corporate activities that influence revenue is also driving the expansion of the telecom analytics industry. Telecom firms' revenue is primarily determined by customers, the sale of value-added solutions, billing rates, and other factors.

Telecom analytics systems may offer qualitative and quantitative metrics and subjective Key Performance Indicators (KPIs) measures to various applications for business, network, or consumer use cases.

This may assist in monitoring crucial subscriber decisions, which affect revenues, by calculating propensity scores from pertinent information such as subscriber experiences (xDRs), region, associates (TAP), network (probes), and activities (logs). Owing to these features, the market is likely to develop throughout the forecast period.

Furthermore, IoT, Data Science, and Big Data technologies provide significant prospects for data-driven company optimization in terms of revenue maximization, customer comprehension, and cost efficiency. In today's data-heavy environment, communication, social media platforms, phone data records, consumer habits, payment details, and government websites generate massive amounts of data.

Telecom providers need help managing this increase in data volume. When data is acquired properly and correctly evaluated, it can provide important insights. Consequently, the increasing adoption of new technologies in the telecom industry is projected to boost market development possibilities in the near future.

Telecommunications firms are focusing on enhancing network resilience and determining how COVID-19 may affect their planned investments, notably in 5G. These companies are also constantly improving to help customers needing internet connectivity more than ever. Data is being used as a tool in certain nations to track and restrict the transmission of the virus.

Some potential impact includes increased network usage, with several telecom companies reporting significant surges. The frequency of voice calls is also expanding significantly in some nations. Network reliability has also become a constant concern. Europe's network infrastructure is seeing spikes in connection loss rates, decreased audio quality, and connection rate decreases.

The European Union has attempted to prevent potential disruptions by requesting that streaming services limit image quality. In the United States, operators are growing capacities by leasing spectrum from competitors.

Telecom service providers throughout the world are taking a range of steps to enhance the consumer experience and provide individuals with access to internet connectivity. In the United Kingdom, carriers have boosted bandwidth, supplied limitless minutes, and anonymized data to help in tracing the proliferation of COVID-19.

Due to the wide environment and huge mobile population in China, good connectivity and data sharing have been critical in checking for infected persons and managing the outbreak.

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Region-wise Analysis

North America is projected to Offer Numerous Opportunities for Telecom Analytics Market

During the projected period, North America held the largest share in the global telecom analytics market, with a market size of US$ 7.1 billion by 2033. The telecom industry in North America is primarily growing owing to significant expenditure on analytics solutions.

The existence of some industry's most notable firms, such as IBM Corporation and Oracle Corporation, is another factor affecting regional growth. Furthermore, the telecom business in North America is widespread, with the growing use of communication products. This widespread distribution of the telecom business creates massive amounts of data, which aids market expansion in the region.

Country-wise Analysis

United States Lies at the CenterStage for Telecom Analytics Market Revenue

The United States is expected to account for the leading market share of US$ 7.1 billion by the end of 2033 with an expected CAGR of 13.4% by the end of 2033. Constant progressions in IT technology and infrastructures used for customer support, the presence of a large variety of market vendors, and the availability of skilled technical knowledge related to managing modern consumer needs and helpdesk software are the key factors fuelling the telecom analytics market in the country.

The United States is home to some world's key cellular service providers, which rely heavily on client feedback. Thus, by utilizing telecom analytics, communications service providers (CSPs) in the region may deliver higher-quality service while reducing costs. Verizon, a large telecommunications firm in the United States has established several AI and analytics units.

The Data Science and Artificial Intelligence department, for example, is concerned with bringing analytics and cognitive technologies to Verizon's interactions with consumers. The need for consumer analytics solutions is projected to rise as more organizations follow suit.

Category-wise Insights

Customer Management is Projected to Witness the Fastest Growth in the Coming Years

Customer Management segment is forecasted to record a CAGR of over 13.4% from 2023 to 2033. Telecom companies are spending more on client maintenance and retention. However, the price opinion of offering solutions and services to clients has remained the same, resulting in flat revenues. Despite the industry's effective customer-first management model, consumer requirements have rapidly evolved.

Telecom Analytics Software is Expected to Score Highest Growth in the Coming Years

The demand for telecom analytics software is forecasted to register a CAGR of around 13.5% from 2023 to 2033. Telecom Analytics Software is being deployed in the telecom sector to meet their complex business intelligence needs, including risk management, churn reduction, fraud identification, up-sell, and cross-sell product and service plans.

Telecom analytics software assists in reducing risk and making sound business decisions. Furthermore, it helps businesses differentiate themselves through a competitive strategy and brings forth subscriber-focused scores to aid in revenue growth. As a result of the advantages of telecom analytics, the industry is expected to grow significantly during the projected period.

Competitive Analysis

The industry is segmented and characterized by intense rivalry among key operational firms. The leading companies are concentrating on increasing their market presence through various tactics such as acquisitions, mergers, and joint ventures or partnerships.

These techniques also assist firms in regionally expanding their business operations and improving their regional offers. The industry rivalry is expected to heat up even further as more businesses focus on developing innovative, cost-effective telecom analytics products and services. As a result, the market's leading players are looking forward to developing solutions that best fulfill the needs of telecom operators.

Some Key Developments in this Telecom Analytics Market Include

In January 2021, SAP agreed to acquire Signavio, a provider of enterprise business process analytics and process management. The acquisition may increase SAP's ability to help businesses swiftly analyze, enhance, transform, and control their operations at scale. Subject to regulatory authorization, the acquisition was scheduled to conclude in the first half of 2021.
In September 2021, BT Group, BT Group, the United Kingdom's top mobile and internet services company, used Oracle Communications Cloud Native Converged Policy Management to manage network resources and speed up the launch of new 5G services. This technology allowed BT Group to test and deploy 5G services such as live video broadcasting and zero-rated 5G downloadable media content over its EE mobile network.
In Oct 2021, IBM invested in Volta Networks, a networking software developer for the cloud, to complement its portfolio with software developers.

Recent Developments

January 2023: Oracle introduced its new telecom analytics platform, Oracle Communications Analytics Cloud. This platform offers telecom organizations a consolidated view of their data, which can be utilized to acquire insights into user behavior, enhance network performance, and uncover fraud.
February 2023: IBM purchased Altitude Software, a developer of telecom analytics products. This purchase may give IBM a solid presence in the telecom analytics sector and assist the business in delivering a complete range of solutions to its clients.

Segments Covered In Telecom Analytics Market Analysis

By Components:

Software
Services
Managed Services
- Professional Services

By Application:

Customer Management
Sales and Marketing Management
Risk and Compliance Management
Network Management
Workforce Management
Other Applications

By Deployment Mode:

On-premises
Cloud

By Organization Size:

Large enterprises
SMEs

By Region:

North America
Europe
Asia Pacific
The Middle East and Africa
Latin America

Frequently Asked Questions

How Big is the Telecom Analytics Market in 2023?

The market is valued at US$ 6.21 billion in 2023.

What is the Projected Growth Rate for the Telecom Analytics Market?

The market is expected to expand at a CAGR of 13.9% from 2023 to 2033.

Which Segment is Expected to Dominate the Telecom Analytics Market?

The telecom analytics software segment is projected to record a CAGR of 13.5% through 2033.

Which Region Dominates the Telecom Analytics Market by 2033?

North America, specifically the United States, holds a leading market share.

What Factors are Driving the Demand for Telecom Analytics Solutions?

Increased adoption for customer churn prevention and enhanced customer service.

Table of Content

1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Components
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Components, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Components, 2023 to 2033
5.3.1. Software
5.3.2. Services
5.3.3. Managed Services
5.3.3.1. Professional Services
5.4. Y-o-Y Growth Trend Analysis By Components, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Components, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Customer Management
6.3.2. Sales and Marketing Management
6.3.3. Risk and Compliance Management
6.3.4. Network Management
6.3.5. Workforce Management
6.3.6. Other Applications
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode , 2023 to 2033
7.3.1. On-premises
7.3.2. Cloud
7.4. Y-o-Y Growth Trend Analysis By Deployment Mode , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment Mode , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033
8.3.1. Large Enterprises
8.3.2. SMEs
8.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Western Europe
9.3.4. Eastern Europe
9.3.5. South Asia and Pacific
9.3.6. East Asia
9.3.7. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. USA.
10.2.1.2. Canada
10.2.2. By Components
10.2.3. By Application
10.2.4. By Deployment Mode
10.2.5. By Organization Size
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Components
10.3.3. By Application
10.3.4. By Deployment Mode
10.3.5. By Organization Size
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Components
11.2.3. By Application
11.2.4. By Deployment Mode
11.2.5. By Organization Size
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Components
11.3.3. By Application
11.3.4. By Deployment Mode
11.3.5. By Organization Size
11.4. Key Takeaways
12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. United Kingdom.
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Western Europe
12.2.2. By Components
12.2.3. By Application
12.2.4. By Deployment Mode
12.2.5. By Organization Size
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Components
12.3.3. By Application
12.3.4. By Deployment Mode
12.3.5. By Organization Size
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Poland
13.2.1.2. Russia
13.2.1.3. Czech Republic
13.2.1.4. Romania
13.2.1.5. Rest of Eastern Europe
13.2.2. By Components
13.2.3. By Application
13.2.4. By Deployment Mode
13.2.5. By Organization Size
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Components
13.3.3. By Application
13.3.4. By Deployment Mode
13.3.5. By Organization Size
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Bangladesh
14.2.1.3. Australia
14.2.1.4. New Zealand
14.2.1.5. Rest of South Asia and Pacific
14.2.2. By Components
14.2.3. By Application
14.2.4. By Deployment Mode
14.2.5. By Organization Size
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Components
14.3.3. By Application
14.3.4. By Deployment Mode
14.3.5. By Organization Size
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Components
15.2.3. By Application
15.2.4. By Deployment Mode
15.2.5. By Organization Size
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Components
15.3.3. By Application
15.3.4. By Deployment Mode
15.3.5. By Organization Size
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Components
16.2.3. By Application
16.2.4. By Deployment Mode
16.2.5. By Organization Size
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Components
16.3.3. By Application
16.3.4. By Deployment Mode
16.3.5. By Organization Size
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA.
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Components
17.1.2.2. By Application
17.1.2.3. By Deployment Mode
17.1.2.4. By Organization Size
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Components
17.2.2.2. By Application
17.2.2.3. By Deployment Mode
17.2.2.4. By Organization Size
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Components
17.3.2.2. By Application
17.3.2.3. By Deployment Mode
17.3.2.4. By Organization Size
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Components
17.4.2.2. By Application
17.4.2.3. By Deployment Mode
17.4.2.4. By Organization Size
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Components
17.5.2.2. By Application
17.5.2.3. By Deployment Mode
17.5.2.4. By Organization Size
17.6. United Kingdom.
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Components
17.6.2.2. By Application
17.6.2.3. By Deployment Mode
17.6.2.4. By Organization Size
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Components
17.7.2.2. By Application
17.7.2.3. By Deployment Mode
17.7.2.4. By Organization Size
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Components
17.8.2.2. By Application
17.8.2.3. By Deployment Mode
17.8.2.4. By Organization Size
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Components
17.9.2.2. By Application
17.9.2.3. By Deployment Mode
17.9.2.4. By Organization Size
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Components
17.10.2.2. By Application
17.10.2.3. By Deployment Mode
17.10.2.4. By Organization Size
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Components
17.11.2.2. By Application
17.11.2.3. By Deployment Mode
17.11.2.4. By Organization Size
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Components
17.12.2.2. By Application
17.12.2.3. By Deployment Mode
17.12.2.4. By Organization Size
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Components
17.13.2.2. By Application
17.13.2.3. By Deployment Mode
17.13.2.4. By Organization Size
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Components
17.14.2.2. By Application
17.14.2.3. By Deployment Mode
17.14.2.4. By Organization Size
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Components
17.15.2.2. By Application
17.15.2.3. By Deployment Mode
17.15.2.4. By Organization Size
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Components
17.16.2.2. By Application
17.16.2.3. By Deployment Mode
17.16.2.4. By Organization Size
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Components
17.17.2.2. By Application
17.17.2.3. By Deployment Mode
17.17.2.4. By Organization Size
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Components
17.18.2.2. By Application
17.18.2.3. By Deployment Mode
17.18.2.4. By Organization Size
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Components
17.19.2.2. By Application
17.19.2.3. By Deployment Mode
17.19.2.4. By Organization Size
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Components
17.20.2.2. By Application
17.20.2.3. By Deployment Mode
17.20.2.4. By Organization Size
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Components
17.21.2.2. By Application
17.21.2.3. By Deployment Mode
17.21.2.4. By Organization Size
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2022
17.22.2.1. By Components
17.22.2.2. By Application
17.22.2.3. By Deployment Mode
17.22.2.4. By Organization Size
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2022
17.23.2.1. By Components
17.23.2.2. By Application
17.23.2.3. By Deployment Mode
17.23.2.4. By Organization Size
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Components
18.3.3. By Application
18.3.4. By Deployment Mode
18.3.5. By Organization Size
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. SAP
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Oracle
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. IBM
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. SAS Institute
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Adobe
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Cisco
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Teradata
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Micro Focus
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. TIBCO
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. MicroStrategy
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
19.1.11. Tableau
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Panorama Software
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. Qlik
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. OpenText
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
19.1.15. Alteryx
19.1.15.1. Overview
19.1.15.2. Product Portfolio
19.1.15.3. Profitability by Market Segments
19.1.15.4. Sales Footprint
19.1.15.5. Strategy Overview
19.1.15.5.1. Marketing Strategy
19.1.16. Sisense
19.1.16.1. Overview
19.1.16.2. Product Portfolio
19.1.16.3. Profitability by Market Segments
19.1.16.4. Sales Footprint
19.1.16.5. Strategy Overview
19.1.16.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology

Telecom Analytics Market

A Detailed Analysis of Telecom Analytics Market by Software and Others