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PUBLISHER: Juniper Research Ltd | PRODUCT CODE: 1426515

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PUBLISHER: Juniper Research Ltd | PRODUCT CODE: 1426515

Global Generative AI in Mobile Messaging: 2024-2028

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'Generative AI Spend on Mobile Messaging to Reach $11bn Globally by 2028, as Marketing Targets Automated Hyper-personalisation'

KEY STATISTICS
Total market value in 2024:$11.2bn
2024 to 2028 market growth:1,250%
Forecast period:2024-2028

Overview

Our “Generative AI in Mobile Messaging” research suite provides in-depth evaluation of how brands and enterprises will use generative AI as a tool to improve mobile messaging communication content through increased personalisation and efficiency. It assesses the technologies and strategies available to mobile messaging vendors and CPaaS platforms over 4 key technologies:

  • Chatbots
  • MMS Business Messaging
  • RCS Business Messaging
  • SMS Business Messaging

SAMPLE VIEW

Market Trends & Forecasts

The suite includes both a data deliverable; sizing the market and providing key forecast data across 60 countries, as well as a Strategy & Trends document which gives a complete assessment of the key trends, challenges and recommendations for stakeholders. Together, they provide an essential tool for understanding this rapidly growing market; enabling communication platform and LLM (Large Language Model) vendors to shape their future strategy.

Key Features

  • Key Takeaways & Strategic Recommendations: In-depth analysis of the key findings for the generative AI in mobile messaging market, accompanied by strategic recommendations for stakeholders.
  • Market Dynamics: Insights into key trends within the generative AI in mobile messaging market, including across 4 key messaging channels: chatbots, SMS, RCS, and MMS. It also addresses the challenges of generative AI adoption, including AI hallucination and data privacy concerns, and analyses the key industries and use cases.
  • Benchmark Industry Forecasts: The overview of the generative AI in mobile messaging includes forecasts for total generative AI spend across the key messaging channels.
  • Juniper Research Competitor Leaderboard: Key player product and positioning, and capability and capacity assessment for 14 vendors within generative AI in mobile messaging, via the Juniper Research Competitor Leaderboard:
    • Bird
    • CM.com
    • Genesys
    • GMS (Global Message Services)
    • Gupshup
    • Infobip
    • Kasisto
    • LivePerson
    • Route Mobile
    • Sinch
    • Twilio
    • Vonage
    • Webex
    • Zendesk

Market Data & Forecasts

The market-leading research suite for the “Generative AI in Mobile Messaging” market includes access to the full set of forecast data of 34 tables and over 15,500 datapoints. Metrics in the research suite include:

  • Total Generative AI Spend on Mobile Communications
  • Total Number of B2C Businesses Using Generative AI in Communications

Metrics are provided for the following key channels:

  • Chatbots (Web & App-based)
  • SMS
  • MMS
  • RCS

Juniper Research Interactive Forecast Excel contains the following functionality:

  • Statistics Analysis: Users benefit from the ability to search for specific metrics; displayed in for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
  • Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
  • Country Comparison Tool: Users can select countries and compare each of them for specific countries. The ability to export graphs is included in this tool.
  • What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via 5 interactive scenarios
KEY STATISTICS
Total market value in 2024:$11.2bn
2024 to 2028 market growth:1,250%
Forecast period:2024-2028

Overview

Our “Generative AI in Mobile Messaging” research suite provides in-depth evaluation of how brands and enterprises will use generative AI as a tool to improve mobile messaging communication content through increased personalisation and efficiency. It assesses the technologies and strategies available to mobile messaging vendors and CPaaS platforms over 4 key technologies:

  • Chatbots
  • MMS Business Messaging
  • RCS Business Messaging
  • SMS Business Messaging

SAMPLE VIEW

Market Trends & Forecasts

The suite includes both a data deliverable; sizing the market and providing key forecast data across 60 countries, as well as a Strategy & Trends document which gives a complete assessment of the key trends, challenges and recommendations for stakeholders. Together, they provide an essential tool for understanding this rapidly growing market; enabling communication platform and LLM (Large Language Model) vendors to shape their future strategy.

Key Features

  • Key Takeaways & Strategic Recommendations: In-depth analysis of the key findings for the generative AI in mobile messaging market, accompanied by strategic recommendations for stakeholders.
  • Market Dynamics: Insights into key trends within the generative AI in mobile messaging market, including across 4 key messaging channels: chatbots, SMS, RCS, and MMS. It also addresses the challenges of generative AI adoption, including AI hallucination and data privacy concerns, and analyses the key industries and use cases.
  • Benchmark Industry Forecasts: The overview of the generative AI in mobile messaging includes forecasts for total generative AI spend across the key messaging channels.
  • Juniper Research Competitor Leaderboard: Key player product and positioning, and capability and capacity assessment for 14 vendors within generative AI in mobile messaging, via the Juniper Research Competitor Leaderboard:
    • Bird
    • CM.com
    • Genesys
    • GMS (Global Message Services)
    • Gupshup
    • Infobip
    • Kasisto
    • LivePerson
    • Route Mobile
    • Sinch
    • Twilio
    • Vonage
    • Webex
    • Zendesk

Market Data & Forecasts

The market-leading research suite for the “Generative AI in Mobile Messaging” market includes access to the full set of forecast data of 34 tables and over 15,500 datapoints. Metrics in the research suite include:

  • Total Generative AI Spend on Mobile Communications
  • Total Number of B2C Businesses Using Generative AI in Communications

Metrics are provided for the following key channels:

  • Chatbots (Web & App-based)
  • SMS
  • MMS
  • RCS

Juniper Research Interactive Forecast Excel contains the following functionality:

  • Statistics Analysis: Users benefit from the ability to search for specific metrics; displayed in for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
  • Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
  • Country Comparison Tool: Users can select countries and compare each of them for specific countries. The ability to export graphs is included in this tool.
  • What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via 5 interactive scenarios

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Market Takeaways
  • 1.2. Strategic Recommendations

2. Future Market Outlook

  • 2.1.1. Introduction to Generative AI in Mobile Messaging
  • 2.1.2. Growth of Generative AI in Mobile Messaging Market
    • i. Overview
      • Figure 2.1: Total Generative AI Spend on Mobile Communications ($), Split by Key Regions, 2020 vs 2028
      • Figure 2.2: Traffic Leveraging Generative AI in 2024 ($m), Split by 4 Key Channels
    • ii. Chatbots
      • Figure 2.3: History of Chatbots
      • Figure 2.4: Spend per Mobile Subscriber on Chatbot Traffic Leveraging Generative AI in Top 10 Countries in 2024 ($)
    • iii. SMS
      • Figure 2.5: A2P SMS Traffic Leveraging Generative AI in 2024 (m), Split by 8 Key Regions
    • iv. RCS
      • Figure 2.6: Revenue from RCS Traffic Leveraging Generative AI ($m), Split by 8 Key Regions, 2023-2025
    • v. MMS
      • Figure 2.7: MMS Traffic Leveraging Generative AI in the US (m), 2023-2028
  • 2.1.3. Generative AI Technologies
    • i. Different Types of Generative AI
      • Figure 2.8: Different Types of Generative AI
      • Figure 2.9: Training a GAN Model
      • Figure 2.10: Training a VAE Model
      • Figure 2.11: Training a RNN Model
      • Figure 2.12: Training a Transformer Model
    • ii. Different Models Used by Communication Platforms
    • iii. Integration of Generative AI with Conversational AI
  • 2.1.4. Enterprise Applications of Generative AI Technology
    • Figure 2.13: Different Use Cases of Generative AI
    • i. Banking and Finance
    • ii. Retail and eCommerce
    • iii. Healthcare
    • iv. Transportation and Travel
  • 2.1.5. Challenges of Generative AI for Communications

3. Juniper Research Competitor Leaderboard

  • 3.1. Why Read This Report
    • Table 3.1: Juniper Research Leaderboard: Generative AI in Mobile Messaging Vendors Included & Product Portfolio
    • Figure 3.2: Juniper Research Competitor Leaderboard: Generative AI in Mobile Messaging Vendors
    • Table 3.3: Juniper Research Leaderboard: Generative AI in Mobile Messaging Vendors & Positioning
    • Table 3.4: Juniper Research Competitor Leaderboard Heatmap: Generative AI Mobile Messaging Vendors
    • 3.1.1. Bird
      • i. Corporate Information
        • Table 3.14: Bird's Acquisitions, 2020-Present
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.2. CM.com
      • i. Corporate Information
        • Table 3.5: CM.com's Acquisitions, 2021-Present
        • Table 3.6: CM.com's Select Financial Information (€m), 2020-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.3. Genesys
      • i. Corporate Information
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.4. GMS (Global Message Services)
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partners
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.5. Gupshup
      • i. Corporate Information
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 3.7: Gupshup's Auto Bot Builder
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.6. Infobip
      • i. Corporate Information
        • Table 3.8: Infobip's Acquisitions,- April 2021 to Present
        • Table 3.9: Infobip's Select Financial Information ($m), 2019-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 3.1.7. Kasisto
    • i. Corporate Information
    • ii. Geographical Spread
    • iii. Key Clients & Strategic Partnerships
    • iv. High-level View of Offerings
      • Figure 3.10: Kasisto's KAI Platform Intelligence Channel Integration
      • Figure 3.11: Example of Kasisto's IDA
    • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.8. LivePerson
      • i. Corporate Information
        • Table 3.12: LivePerson's Financial Revenue ($m) 2021-2022, Split by Segment
        • Table 3.13: LivePerson's Acquisitions, 2018-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.9. Route Mobile
      • i. Corporate Information
        • Table 3.15: Route Mobile's Annual Financial Information (₹Cr), 2022-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.10. Sinch
      • i. Corporate Information
        • Table 3.16: Sinch's Most Recent Acquisitions
        • Table 3.17: Sinch's Selected Financial Information ($m), 2021-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.1.11. Twilio
      • i. Corporate Information
        • Table 3.18: Twilio's Acquisitions, Nov 2019-Dec 2023
        • Table 3.19: Twilio's Revenue Information, 2020-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Clients & Strategic Development Opportunities
    • 3.1.12. Vonage
      • i. Corporate Information
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Clients & Strategic Development Opportunities
    • 3.1.13. Webex
      • i. Corporate Information
        • Table 3.20: Cisco Webex's Selected Financial Information ($bn), 2020-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Clients & Strategic Development Opportunities
    • 3.1.14. Zendesk
      • i. Corporate Information
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Clients & Strategic Development Opportunities
  • 3.2. Juniper Research Leaderboard Assessment Methodology
  • 3.3. Limitations & Interpretations
    • Table 3.21: Juniper Research Competitor Leaderboard Scoring Criteria

4. Market Forecasts & Key Takeaways

  • 4.1. Generative AI in Mobile Messaging
    • 4.1.1. Generative AI in Mobile Messaging Methodology
    • 4.1.2. Businesses Using Generative AI in Communications
      • Figure & Table 4.1: Total Number of B2C Businesses Using Generative AI in Communications (m), Split by 8 Key Regions, 2023-2028
    • 4.1.3. Generative AI Spend on Mobile Communications
      • Figure & Table 4.2: Total Generative AI Spend on Mobile Communications ($Split by 8 Key Regions, 2023-2028
      • Figure 4.3: Summary of Generative AI in Mobile Messaging Forecast Methodology
  • 4.2. Generative AI Chatbots Market
    • 4.2.1. Generative AI Chatbots Methodology
    • 4.2.2. Chatbot Visits that Leverage Generative AI
      • Figure & Table 4.4: Total Chatbot Visits that Leverage Generative AI (m), Split by 8 Key Regions, 2023-2028
      • Table 4.5: Total Chatbot Visits That Leverage Generative AI (m), Split into Web and App-based Chatbots, 2023-2028
    • 4.2.3. Generative AI Revenue from Chatbots
      • Figure & Table 4.6: Total Generative AI Revenue from Chatbots ($m), Split by 8 Key Regions, 2023-2028
      • Figure 4.7: Generative AI Chatbots Forecast Methodology
  • 4.3. Generative AI and SMS
    • 4.3.1. Generative AI and SMS Forecast Methodology
    • 4.3.2. A2P SMS Traffic Leveraging Generative AI
      • Figure & Table 4.8: Total A2P SMS Traffic That Leverages Generative AI (m), Split by 8 Key Regions, 2023-2028
    • 4.3.3. Revenue from A2P SMS Traffic Leveraging Generative AI
      • Figure & Table 4.9: Total Revenue from A2P SMS Traffic Leveraging Generative ($m), Split by 8 Key Regions, 2023-2028
      • Figure 4.10: Generative AI and A2P SMS Forecast Methodology
  • 4.4. Generative AI and RCS
    • 4.4.1. Generative AI and RCS Forecast Methodology
    • 4.4.2. A2P RCS Traffic Leveraging Generative AI
      • Figure & Table 4.11: Total A2P RCS Traffic That Leverages Generative AI (m), Split by 8 Key Regions, 2023-2028
    • 4.4.3. Revenue from A2P RCS Traffic Leveraging Generative AI
      • Figure & Table 4.12: Total Revenue from A2P RCS Traffic Leveraging Generative AI ($m), Split by 8 Key Regions, 2023-2028
      • Figure 4.13: Generative AI and A2P RCS Forecast Methodology
  • 4.5. Generative AI and MMS
    • 4.5.1. Generative AI and MMS Forecast Methodology
    • 4.5.2. A2P MMS Traffic Leveraging Generative AI
      • Figure & Table 4.14: Total A2P MMS Traffic That Leverages Generative AI (m), 2023-2028
    • 4.5.3. Revenue from A2P MMS Traffic Leveraging Generative AI
      • Figure & Table 4.15: Total Revenue from A2P MMS Traffic Leveraging Generative AI ($m), 2023-2028
      • Figure 4.16: Generative AI and A2P MMS Forecast Methodology
      • i.Endnotes
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