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Artificial Intelligence in Telecom –
Industry Adoption Analysis


June 2019 | 88 pages

Be among the first to understand emerging AI trends shaping the telecom industry


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What’s included:

Five business models shaping up with the integration of AI in the telecommunication industry

AI strategies of 15 major companies including AT&T, Verizon, Huawei, Rakuten, Telefonica, and China Telecom

Analysis of 8 emerging technology trends based on M&A deals since 2014

Future technology requirements based on Netscribes’ analysis of the current market scenario

Key capabilities and technology focus areas of 40 startups

Top 23 telecom-focused AI startups based on funding value

Top startups focusing on SON, cloud-native, network security and analytics, interference cancellation, AI hardware, and AI assistants

Frontrunners, followers and late-adopters of AI technologies in the telecom industry

Insights and recommendations for companies in the telecom industry and ancillary industries like semiconductors, IT, and investment companies



About

The telecom industry is at the forefront of Artificial intelligence (AI) innovation and adoption. AI offers tremendous opportunities for operators to overcome network management and optimization complexities, traditional hardware dependencies, and to reduce costs. By automating decisions around resource allocation, virtualization, traffic management, and network maintenance, AI can enable more intelligent network planning. In addition, AI will be instrumental in helping operators capitalize on 5G through better planning and network capacity utilization. Given the exploding demand for speedier and more efficient data connectivity, there’s no question that success in the telecom industry will belong to companies that best utilize the power of AI.

This report evaluates the state of AI adoption in the telecom industry, while revealing the companies that are leading the charge. By buying this report, you’ll obtain keen insights into the applications of AI in telecom, investment opportunities, market gaps, and emerging expectations from telecom companies and AI-based solution providers.


1. Impact of AI in the Telecom Ecosystem

  • Overview of the Telecom Value Chain Participants
  • Role of AI in the Telecom Ecosystem

2. Use Cases of AI in the Telecom Industry

  • Use Case 1: AI in Network Optimization
  • Use Case 2: AI for 5G Networks
  • Use Case 3: AI in Cloud
  • Use Case 4: AI Security
  • Use Case 5: Other AI Implementations

3. How is AI Transforming Telecom Business Models?

  • Business Model 1: AI Managed Services
  • Business Model 2: AI Powered Chipsets
  • Business Model 3: Data Monetization
  • Business Model 4: Open Source Platforms
  • Business Model 5: AI-Enabled Cloud Services

4. Overview of the AI Adoption by Key Telecom Companies

  • Adoption Status of Telecom Companies

5. How is AI Driving M&A Activity in Telecom Sector?

  • Technology Drivers of the Deals
  • Technology Distribution
  • Overview of the Acquired Technologies
  • Prominent Acquirers in the Space
  • Post-deal Integration Examples
  • Netscribes Analysis and Insights
  • Overview of the Deals

6. How are Startups Innovating in the AI Telecom Space?

  • Key Challenges Targeted by Startups
  • Startups Focusing on:
    • SON
    • Cloud Native Networks
    • Network Security and Analytics
    • Interference Cancellation
    • AI Hardware
    • Conversational AI

7. Insights & Recommendations

  • Current Adoption Status of AI in Telecom
  • Recommendations for Telecom Companies
  • Recommendations for Other Industry Players


Onam Prasad:

Onam holds a Master’s degree from the University of Illinois at Chicago with specialization in telecommunications. At the University of Illinois her course of study covered subjects including wireless communications, RF systems, semiconductors, networking, digital communication, etc. She was also a member of Society of Women Engineers and attended many conferences and sessions related to initiatives by women technologists and awareness of technology across diversity. Onam has research expertise in topics related to IoT, 5G, connectivity solutions, autonomous systems, RF devices, semiconductor fabrication, telecommunication equipment, ICs and Chipsets, etc. She works on custom research projects and provides technology consulting and advisory to clients on a range of aspects including creation of strategic partnerships, development and adoption of innovative or disruptive technologies, R&D and product roadmap creation, etc. by leveraging robust research approaches and methodologies that combine competitive intelligence, patent landscape, M&A, trend analysis and other important parameters. The combination of her education, expertise and professional experiences makes her one of Netscribes lead analysts in the electronics, telecom and semiconductors domains.


Faisal Shaikh:

Faizal has been associated with Netscribes’ Innovation Research team since the last 3 years. He has worked on emerging technology domains including IoT connectivity solutions and management, sensing/antenna technologies for autonomous vehicles and connected cars, 5G technology trends, hardware security solutions, RF front-end for portable devices, advanced semiconductor chipsets, futuristic display technologies, etc.

His areas of interest include semiconductor fabrication and processing, networking and 5G related studies, telecommunications, display technologies, user interfaces, sensors and robotics among others. He has been actively involved in technology assessment/consulting, competitor analysis and benchmarking, and technology roadmap studies that require complete understanding of the ecosystem.

Faizal graduated with a Bachelor’s degree in Engineering with specialization in Electronics and Telecommunications from Mumbai University.



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