Growth Opportunities for Telecommunications Service Providers in Artificial Intelligence, 2024
Published on: 18-Dec-2024 | SKU: TE_2024_1212

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AI refers to technologies that emulate human intelligence and assist decision-making with self-learning capabilities. Machine learning (ML) is a sub-field of AI that focuses on imitating how humans learn and includes the development and use of algorithms that can learn and adapt without following explicit instructions.

Telcos have emerged as essential channel partners for procuring AI technology. Their ability to work closely with enterprises to build solutions, offer professional and managed services, and integrate AI-based tools and platforms make them crucial ecosystem participants.

All major telcos have started implementing AI technology; however, they are at different stages of maturity—from proofs of concept to deploying multiple AI use cases in scale. A clear strategy and roadmap articulation are critical in AI adoption. Few telcos have architectures that support integrated enterprise data pools, including data gathered from real-time sources, indicating low data readiness to support AI applications. This results in difficulty training AI models for GenAI applications and ineffective AI outcomes.

This report highlights emerging AI use cases across telcos and horizontal business functions, drivers, and restraints impacting the AI market. It also offers telcos opportunities to explore industry-specific AI solutions and data management.

Frost & Sullivan conducted detailed primary interviews with telcos that stand out in different regions to generate a competitive profile and understand relevant AI developments, strategies, and value propositions. In addition, we performed extensive secondary research across our internal database and other public information sources, such as financial reports, industry associations, statistic agencies, and specialized websites.

Author: Renato Pasquini

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on AI’s Applications for Telecommunications Service Providers (Telcos)

Scope of Analysis

Research Process and Methodology

Key Competitors

Growth Drivers

Growth Restraints

AI Adoption in Telcos’ Segments of the AI Market: Distinct yet Interrelated

AI Adoption in Telcos: Enterprise Decision-making Evolution with AI-based Models

AI Adoption in Telcos: Utilization and Impact

AI Adoption in Telcos: Investment

Applying AI to Generate New Revenue Streams: Telcos Shift from Connectivity to Data Services

Applying AI to Generate New Revenue Streams: Telcos’ New Business Models

Applying AI to Generate New Revenue Streams: GenAI and Edge AI

Applying AI to Generate New Revenue Streams: Use Cases in the Business-to-Business (B2B) Segment

Applying AI to Generate New Revenue Streams: New B2B Portfolio for Telcos

Applying AI to Generate New Revenue Streams: Key AI Vertical Use Cases for Telcos

Applying AI to Generate New Revenue Streams: Key AI Vertical Use Cases for Telcos (continued)

Applying AI to Generate New Revenue Streams: Network Operations Management for Telcos

Applying AI to Generate New Revenue Streams: Customer Experience Management for Telcos

Comparison of Top AI Initiatives

Comparison of Top AI Initiatives (continued)

Comparison of Top AI Initiatives (continued)

Comparison of Top AI Initiatives (continued)

SK Telecom: Key AI Developments

SK Telecom: Global AI Company’s Positioning Since 2022

KT Corporation: Key AI Focus Areas

KT Corporation: AICT Company’s Positioning Since 2024

Telefónica: Building Blocks for a Cognitive Platform

Telefónica: Key AI Focus Areas

Telefónica: AI Adoption Program That Launched in 2024

Vodafone: Key AI Developments

Vodafone: Multivendor AI Architecture That Released in 2024

Verizon: Key AI Focus Areas

Verizon: AI Strategy That Released in 2024

AT&T: Key AI Developments

AT&T: Key AI Focus Areas

Growth Opportunity 1: AI Professional Services

Growth Opportunity 1: AI Professional Services (continued)

Growth Opportunity 2: AI Industry Vertical Solutions

Growth Opportunity 2: AI Industry Vertical Solutions (continued)

Growth Opportunity 3: Conversational Platforms

Growth Opportunity 3: Conversational Platforms (continued)

Growth Opportunity 4: Autonomous Networks

Growth Opportunity 4: Autonomous Networks (continued)

Benefits and Impacts of Growth Opportunities

Action Items & Next Steps

List of Exhibits

Legal Disclaimer

List of Figures
  • AI in Telecommunications: Growth Drivers, Global, 2025–2030
  • AI in Telecommunications: Growth Restraints, Global, 2025–2030
  • AI in Telecommunications: AI Life Cycle Segments, Global, 2024
  • AI in Telecommunications: Decision-making Evolution with AI-based Models, Global, 2024
  • AI in Telecommunications: AI Utilization Level, Global, 2024
  • AI in Telecommunications: AI Impact in Business Areas, Global, 2024
  • AI in Telecommunications: AI Investment, Global, 2024
  • AI in Telecommunications: Telco Digital Transformation, Global, 2024
  • AI in Telecommunications: Telcos’ Unique Positioning to Monetize AI Opportunities, Global, 2024
  • AI in Telecommunications: Multimodal AI Capabilities, Global, 2024

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AI refers to technologies that emulate human intelligence and assist decision-making with self-learning capabilities. Machine learning (ML) is a sub-field of AI that focuses on imitating how humans learn and includes the development and use of algorithms that can learn and adapt without following explicit instructions. Telcos have emerged as essential channel partners for procuring AI technology. Their ability to work closely with enterprises to build solutions, offer professional and managed services, and integrate AI-based tools and platforms make them crucial ecosystem participants. All major telcos have started implementing AI technology; however, they are at different stages of maturity—from proofs of concept to deploying multiple AI use cases in scale. A clear strategy and roadmap articulation are critical in AI adoption. Few telcos have architectures that support integrated enterprise data pools, including data gathered from real-time sources, indicating low data readiness to support AI applications. This results in difficulty training AI models for GenAI applications and ineffective AI outcomes. This report highlights emerging AI use cases across telcos and horizontal business functions, drivers, and restraints impacting the AI market. It also offers telcos opportunities to explore industry-specific AI solutions and data management. Frost & Sullivan conducted detailed primary interviews with telcos that stand out in different regions to generate a competitive profile and understand relevant AI developments, strategies, and value propositions. In addition, we performed extensive secondary research across our internal database and other public information sources, such as financial reports, industry associations, statistic agencies, and specialized websites. Author: Renato Pasquini
More Information
Deliverable Type Market Research
Author Renato Pasquini
Industries Telecom
No Index No
Is Prebook No
Keyword 1 telecom AI market
Keyword 2 telecom automation
Keyword 3 AI-driven telecom services
List of Charts and Figures AI in Telecommunications: Growth Drivers, Global, 2025–2030~ AI in Telecommunications: Growth Restraints, Global, 2025–2030~ AI in Telecommunications: AI Life Cycle Segments, Global, 2024~ AI in Telecommunications: Decision-making Evolution with AI-based Models, Global, 2024~ AI in Telecommunications: AI Utilization Level, Global, 2024~ AI in Telecommunications: AI Impact in Business Areas, Global, 2024~ AI in Telecommunications: AI Investment, Global, 2024~ AI in Telecommunications: Telco Digital Transformation, Global, 2024~ AI in Telecommunications: Telcos’ Unique Positioning to Monetize AI Opportunities, Global, 2024~ AI in Telecommunications: Multimodal AI Capabilities, Global, 2024~
Podcast No
Predecessor PE89-01-00-00-00
WIP Number KB33-01-00-00-00

Growth Opportunities for Telecommunications Service Providers in Artificial Intelligence, 2024

TelecomGrowth Opportunities for Telecommunications Service Providers in Artificial Intelligence, 2024

AI-powered Innovation Unlocks New Revenue Streams, Operational Efficiency, and Customer Value

RELEASE DATE
18-Dec-2024
REGION
Global
Deliverable Type
Market Research
Research Code: KB33-01-00-00-00
SKU: TE_2024_1212
AvailableYesPDF Download
$2,450.00
In stock
SKU
TE_2024_1212