The global mobile messaging market size is set to reach US$ 101.41 billion in 2023. Overall sales of mobile messaging are likely to surge at 15.9% CAGR, taking the forecasted market valuation to US$ 443.53 billion by the end of 2033.
The market is expected to change rapidly over the years. The key trends that are expected to shape the market are:
Rise of Rich Communication Services (RCS): RCS is a next-generation messaging protocol that aims to replace the traditional SMS protocol. RCS enables advanced features such as read receipts, group chats, high-resolution media sharing, and more. It also allows businesses to add branding elements, interactive buttons, and rich media to their messages. More mobile carriers and messaging app providers are adopting RCS to enhance the user experience. For example, Google has been pushing RCS adoption through its Android Messages app, which is pre-installed on many Android phones.
Integration with Artificial Intelligence (AI): Messaging apps are increasingly incorporating AI-powered chatbots to provide instant customer support, automate business processes, and deliver personalized content. Chatbots use natural language processing (NLP) and machine learning (ML) to understand user queries and respond with relevant information. For example, some airlines use chatbots to provide flight updates and help customers rebook flights in case of delays or cancellations. Facebook Messenger has also introduced chatbots that can be integrated with business websites to provide instant customer support.
Growth of Business Messaging: Businesses are leveraging messaging apps to connect with customers in real time, provide customer support, and facilitate transactions. Messaging platforms are adding new features to support business messaging, such as appointment scheduling, payments, and e-commerce. For example, WhatsApp Business enables small businesses to create a profile, automate text messaging, and respond to customer queries. Facebook Messenger has also introduced tools for businesses to facilitate transactions, such as in-app payments and purchase receipts.
Expansion of Social Messaging: Social messaging apps like WhatsApp, Facebook Messenger, and WeChat are becoming more than just text messaging apps. They are evolving into social media platforms that offer a range of features such as video calls, newsfeeds, stories, and more. Messaging platforms are also integrating with other social media platforms to provide a seamless user experience. For example, Instagram users can now connect their accounts to Facebook Messenger to send and receive messages from both platforms.
Attributes | Details |
---|---|
Mobile Messaging Market CAGR (2023 to 2033) | 15.9% |
Mobile Messaging Market Size (2023) | US$ 101.41 billion |
Mobile Messaging Market Size (2033) | US$ 443.53 billion |
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According to recent research by Future Market Insights, the mobile messaging market is projected to expand at a rate of 15.9% during the forecast period from 2023 to 2033. The market outlook could be divided into short-term, medium-term, and long-term.
Short term (2023 to 2025): Messaging apps are adding more advanced features such as video calling, file sharing, and group chats. These features provide a richer user experience and make messaging apps more appealing to users. The availability of advanced text messaging features is expected to continue to drive the growth of the mobile messaging market in the short term.
Medium-term (2025 to 2028): Messaging apps are becoming an essential channel for businesses to engage with their customers. Messaging allows for more personalized and targeted communication, helping businesses build stronger relationships with their customers. With the growing importance of customer engagement, messaging apps are expected to continue to play a significant role in the mobile messaging market.
Long-term (2028 to 2033): Chatbots are AI-powered conversational agents that can communicate with users through messaging apps. The integration of chatbots into text messaging apps has opened up new opportunities for businesses to provide better customer service and increase engagement. Chatbots can handle routine inquiries, freeing up customer service agents to handle more complex issues. This trend has driven the growth of chatbots, which is expected to continue in the coming years.
Growing Smartphone Penetration: The number of smartphone users worldwide is expected to reach 3.8 billion in 2021, and this number is projected to grow to over 4.3 billion by 2023. With the increasing availability and affordability of smartphones, more people have access to mobile messenger, driving the demand for mobile messaging.
Need for Instant Communication: People expect to communicate instantly with their contacts, whether it's for personal or business purposes. Mobile text messaging apps provide a convenient and fast way to communicate, especially for real-time conversations. With the popularity of messaging apps, people can stay connected with their contacts from anywhere, at any time.
Shift to Remote Work: The COVID-19 pandemic has accelerated the shift towards remote work, with many employees working from home. Messaging apps have become an essential tool for remote teams to communicate and collaborate effectively. Many businesses are relying on messaging apps to maintain communication with their employees, making the mobile messaging market more critical than ever.
Rise of Social Media: Social media platforms such as Facebook, Instagram, and Twitter have become popular communication channels, especially among younger generations. Messaging apps have evolved to incorporate social media features, making them more appealing to users. This trend has driven the growth of social messaging, which is expected to continue in the coming years.
Increasing Use of Mobile Payments: The growth of mobile payments has created new opportunities for mobile messengers. Many text messaging apps now offer payment features that allow users to transfer money to their contacts without leaving the app. This trend has driven the growth of mobile payments, which is expected to continue to grow in the coming years.
Security Concerns: Messaging apps store sensitive personal information, and as the usage of messaging apps grows, so does the potential for data breaches and privacy violations. This can lead to a loss of trust among users and businesses, resulting in lower adoption rates.
Competition from Established Players: The mobile messenger market is highly competitive, with established players such as WhatsApp, Facebook Messenger, and WeChat dominating the market. It can be challenging for new entrants to gain market share and establish themselves in such a competitive market.
Regulatory Challenges: The mobile messaging market is subject to various regulations related to data privacy, data protection, and content moderation. Complying with these regulations can be challenging and costly for messaging app providers, which may limit their growth potential.
Limited Internet Connectivity: In some parts of the world, internet connectivity is limited, which can limit the adoption of mobile messaging apps. Without access to a stable internet connection, users may not be able to use messaging apps effectively, limiting the market's growth potential in these regions.
Technological Limitations: The market is constantly evolving, with new features and technologies being introduced regularly. Messaging app providers must keep up with these changes and innovate to remain competitive. However, technological limitations, such as device compatibility and network infrastructure, can make it challenging for messaging app providers to offer new and advanced features.
User Retention: The market is highly competitive, and mobile messengers must continuously engage their users to retain them. Messaging apps that fail to provide a compelling user experience risk losing their users to competitors, which can limit their growth potential.
Monetization Challenges: Many messaging apps are free to use, which can make it challenging for messaging app providers to monetize their services. Developing sustainable revenue models can be a significant challenge for messaging app providers, which may limit their growth potential in the long term.
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The USA has one of the highest smartphone penetration rates in the world, with around 81% of adults owning a smartphone as of 2021. With the increasing availability and affordability of smartphones, more people have access to text messaging, driving the demand for mobile messaging.
Social media platforms such as Facebook, Instagram, and Twitter have a strong presence in the USA, with high adoption rates among users. Messaging apps have evolved to incorporate social media features, making them more appealing to users. This trend has driven the growth of social messaging in the USA.
The USA mobile messenger market is a highly competitive space with several prominent players. Here are some of the top companies in the US market:
India has the second-largest internet user base in the world, with over 750 million users, according to the Internet and Mobile Association of India (IAMAI). With such a high number of internet users, there is a huge potential for growth in the market.
India's e-commerce market is expected to grow significantly in the coming years. Messaging apps are becoming an essential tool for e-commerce businesses in India to communicate with their customers, provide customer support, and enable transactions.
Top companies in India’s mobile messaging market:
Japan has one of the highest rates of internet penetration in the world, with over 93% of the population using the internet. With such a high number of internet users, there is a huge potential for growth in the market.
Top companies in the Japanese mobile messenger market include:
China has a very large mobile payment market, with companies like Alipay and WeChat Pay dominating the space. Messaging apps in China are integrating mobile payment features into their platforms, which has created new opportunities for businesses to reach customers and for individuals to make transactions.
Social messaging, where mobile messengers incorporate social media features, is becoming more popular in China. This trend has driven the growth of social messaging in the country.
Top companies in the Chinese mobile messenger market include:
The growth potential for the banking and financial institutions vertical in the mobile messaging industry is unparalleled. This is attributed to the surging adoption of business mobility and premium messaging services, which are propelling the expansion of the BFSI sector.
In today's digital age, customer engagement has become a key component in building brand loyalty, and the BFSI sector is no exception. With the proliferation of mobile messaging solutions, financial institutions can now communicate with customers in real-time, providing them with transaction data, retail banking activities, and support for their financial needs.
The increasing number of internet users and the widespread use of smartphones have heightened the demand for prompt and efficient customer service. This trend is driving the explosive growth of mobile messaging in the BFSI industry, enabling financial institutions to build stronger relationships with their customers and stay ahead of the competition.
The mobile messaging market is highly competitive, and the market players have adopted various strategies to gain a larger market share. Here are a few examples:
Through 2033, the Mobile Messaging Market is projected to develop at a CAGR of 15.9%.
In 2023, the market is expected to attain US$ 101.41 billion.
By 2033, the industry is to have expanded to US$ 443.53 billion.
The demand gets driven up as mobile subscribers are steadily rising in number.
Text-based mobile marketing is acquiring popularity.
Data security and privacy issues limit the growth of the mobile messaging market.
1. Executive Summary | Mobile Messaging Market
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 Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033
5.3.1. Hardware
5.3.2. Software
5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
6.3.1. Platform
6.3.2. A2P Service
6.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Component, 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 End User
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
8.3.1. Banking, Financial Services, and Insurance
8.3.2. Retail and E-commerce
8.3.3. Hyperlocal Business
8.3.4. Healthcare
8.3.5. Travel and Hospitality
8.3.6. Other End Users
8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End User, 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. Europe
9.3.4. South Asia
9.3.5. East Asia
9.3.6. Oceania
9.3.7. Middle East and Africa (MEA)
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. The USA
10.2.1.2. Canada
10.2.2. By Type
10.2.3. By Component
10.2.4. By Deployment Mode
10.2.5. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By Component
10.3.4. By Deployment Mode
10.3.5. By End User
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 Type
11.2.3. By Component
11.2.4. By Deployment Mode
11.2.5. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By Component
11.3.4. By Deployment Mode
11.3.5. By End User
11.4. Key Takeaways
12. 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 Europe
12.2.2. By Type
12.2.3. By Component
12.2.4. By Deployment Mode
12.2.5. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By Component
12.3.4. By Deployment Mode
12.3.5. By End User
12.4. Key Takeaways
13. South Asia 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. India
13.2.1.2. Malaysia
13.2.1.3. Singapore
13.2.1.4. Thailand
13.2.1.5. Rest of South Asia
13.2.2. By Type
13.2.3. By Component
13.2.4. By Deployment Mode
13.2.5. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By Component
13.3.4. By Deployment Mode
13.3.5. By End User
13.4. Key Takeaways
14. East Asia 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. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Type
14.2.3. By Component
14.2.4. By Deployment Mode
14.2.5. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Type
14.3.3. By Component
14.3.4. By Deployment Mode
14.3.5. By End User
14.4. Key Takeaways
15. Oceania 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. Australia
15.2.1.2. New Zealand
15.2.2. By Type
15.2.3. By Component
15.2.4. By Deployment Mode
15.2.5. By End User
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Type
15.3.3. By Component
15.3.4. By Deployment Mode
15.3.5. By End User
15.4. Key Takeaways
16. MEA 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 Type
16.2.3. By Component
16.2.4. By Deployment Mode
16.2.5. By End User
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Type
16.3.3. By Component
16.3.4. By Deployment Mode
16.3.5. By End User
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. The USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Type
17.1.2.2. By Component
17.1.2.3. By Deployment Mode
17.1.2.4. By End User
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Type
17.2.2.2. By Component
17.2.2.3. By Deployment Mode
17.2.2.4. By End User
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Type
17.3.2.2. By Component
17.3.2.3. By Deployment Mode
17.3.2.4. By End User
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Type
17.4.2.2. By Component
17.4.2.3. By Deployment Mode
17.4.2.4. By End User
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Type
17.5.2.2. By Component
17.5.2.3. By Deployment Mode
17.5.2.4. By End User
17.6. The United Kingdom
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Type
17.6.2.2. By Component
17.6.2.3. By Deployment Mode
17.6.2.4. By End User
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Type
17.7.2.2. By Component
17.7.2.3. By Deployment Mode
17.7.2.4. By End User
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Type
17.8.2.2. By Component
17.8.2.3. By Deployment Mode
17.8.2.4. By End User
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Type
17.9.2.2. By Component
17.9.2.3. By Deployment Mode
17.9.2.4. By End User
17.10. India
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Type
17.10.2.2. By Component
17.10.2.3. By Deployment Mode
17.10.2.4. By End User
17.11. Malaysia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Type
17.11.2.2. By Component
17.11.2.3. By Deployment Mode
17.11.2.4. By End User
17.12. Singapore
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Type
17.12.2.2. By Component
17.12.2.3. By Deployment Mode
17.12.2.4. By End User
17.13. Thailand
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Type
17.13.2.2. By Component
17.13.2.3. By Deployment Mode
17.13.2.4. By End User
17.14. China
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Type
17.14.2.2. By Component
17.14.2.3. By Deployment Mode
17.14.2.4. By End User
17.15. Japan
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Type
17.15.2.2. By Component
17.15.2.3. By Deployment Mode
17.15.2.4. By End User
17.16. South Korea
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Type
17.16.2.2. By Component
17.16.2.3. By Deployment Mode
17.16.2.4. By End User
17.17. Australia
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Type
17.17.2.2. By Component
17.17.2.3. By Deployment Mode
17.17.2.4. By End User
17.18. New Zealand
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Type
17.18.2.2. By Component
17.18.2.3. By Deployment Mode
17.18.2.4. By End User
17.19. GCC Countries
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Type
17.19.2.2. By Component
17.19.2.3. By Deployment Mode
17.19.2.4. By End User
17.20. South Africa
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Type
17.20.2.2. By Component
17.20.2.3. By Deployment Mode
17.20.2.4. By End User
17.21. Israel
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Type
17.21.2.2. By Component
17.21.2.3. By Deployment Mode
17.21.2.4. By End User
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 Type
18.3.3. By Component
18.3.4. By Deployment Mode
18.3.5. By End User
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Verizon
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. Mblox
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. Twilio, Inc.
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. AT&T
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. Beepsend
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. CLX Communications
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. Dialogue Communications Ltd.
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. Infobip Ltd.
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. Mahindra Comviva
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. Tata Communications Ltd.
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
20. Assumptions & Acronyms Used
21. Research Methodology
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