What is Artificial Intelligence Insight Series - Artificial Intelligence in Telecom? And How Does It Work? Get Insight of Key Players Like: AT&T, Verizon, Nokia, Huawei, Ciena, Rakuten, Orange

Growing complexities in the communication networks today calls for an intelligent approach to network planning and optimisation. With the rise of Artificial Intelligence (AI) techniques, new technology paradigms such as network virtualisation, self-organising networks (SONs), intelligent antennas, AI-powered radio-frequency (RF) front end and intelligent chip-sets can be easily embedded into the communication networks.

Telecom companies are therefore leveraging AI solutions to achieve hyper-automation of telecom networks and usher in an era of self-healing and self-configuring networks. Inclusion of network intelligence allows mobile network operators (MNOs) to achieve efficient network management and cross spectrum protection. This report includes a comprehensive analysis of the adoption of AI in telecom, highlighting the major technology trends and opportunities available across the ecosystem.

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Competitive Analysis
This section includes a study of key telecom companies and other emerging entities in the AI in telecom space. We assess the major telecom entities based on their partnerships, implementation strategies, and recent AI solutions and services. The analysis also highlights the transformation of current telecom business models with the integration of AI/ML techniques for driving new revenue streams and maximising benefits. Some of the key entities included in the report are AT&T, Verizon, Nokia, Huawei, Ciena, Rakuten, and Orange.

Further, the report includes approximately 40 startups that are concentrating on various technological aspects like SON, cloud-native, network analytics, AI hardware, and interference cancellation. Most of these emerging players are solving these telecom industry challenges by leveraging innovative AI solutions and services. We have analysed them closely to get a clear picture of their product and technology offerings, partnerships, customers, funding details, and future outlook. Some of the startups reported include Cellwize, Altiostar, CujoAI, Kumu Networks, GenXcomm, Cambricon, Pivotal Commware, Metawave, Senseon, Parallel Wireless, Galgus, and Affirmed Networks.

M&A Analysis
An assessment of the acquisition trends since 2014 provides insights about the technology drivers in the AI-driven telecom market. The key technologies include cloud-native solutions, security, virtualized RAN, SON, and network analytics.

Distribution of these deals over the years provides an overview of the roadmap that the acquirers are following and highlights the unique value proposition behind the mergers and acquisitions. The prominent participants in the space include telecom solution providers, MNOs, startups and investors. Some of the major acquirers include Nokia, Ericsson, Cisco and Zephyrtel.

Key Insights:
• Network intelligence-related solutions are becoming the new norm for deriving insights from massive network data.
• The growing need for hyper-automation in communication networks is setting the stage for SON technologies that will help drive autonomous networks of the future.
• Virtualisation of networks is fuelling the need for cloud-native solutions, ranging from the ones that provide security, to the one's constituting the network core.
• The telecom solution providers, including names like Ericsson, Nokia, and Cisco, led the charts with the highest number of AI-based acquisitions.
• Emerging companies took a lead role in solving the problem of RF spectrum interference.

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Table of Content:
1. Impact of AI in the Telecom Ecosystem
2. Use Cases of AI in the Telecom Industry
3. How is AI Transforming Telecom Business Models?
4. Overview of the AI Adoption by Key Telecom Companies
5. How is AI Driving M&A Activity in Telecom Sector?
6. How are Startups Innovating in the AI Telecom Space?
7. Insights & Recommendations

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