Artificial Intelligence Insight Series - Artificial Intelligence In Telecom Market Brief Analysis of Top Leading Companies Like: AT&T, Verizon, Nokia, Huawei, Ciena, Rakuten, Orange

Global Artificial Intelligence Insight Series - Artificial Intelligence In Telecom Market report 2021 focuses on the industry status, future forecast, growth opportunity, key market, and key players. This study is very useful information for new and growing companies to display themselves in the market. Additionally, the report offers an in-depth analysis of Artificial Intelligence Insight Series - Artificial Intelligence In Telecom industry size, share, growth, segment, manufacturers and advancements, key trends, market drivers, challenges, standardization, deployment models, opportunities, strategies, future roadmap, and 2027 forecast.

The report revolves around key players and provides an analysis of production processes, technology, capacity, and raw material sourcing. Value chain, production volume, product specification, service sector, supply chain, distribution network, key customers, and global scope are also evaluated in the report. Financial assessments taking into account sales volume, pricing structure, capital investment, production cost structure, gross margin, revenue, and growth rate are included in the report to provide a thorough insight into the organizational and financial strengths and weaknesses of key players.

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Growing complexities in the communication networks today call for an intelligent approach to network planning and optimization. With the rise of Artificial Intelligence (AI) techniques, new technology paradigms such as network virtualization, self-organizing 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. The 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.

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 analyzed 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.

So, what would be the reality in 2021? Enquire, know and get: https://www.worldwidemarketreports.com/covidimpact/273937

The complete version of the Report will include the impact of the COVID-19, and anticipated change on the future outlook of the industry, by taking into account the political, economic, social, and technological parameters.

M&A Analysis
An assessment of the acquisition trends since 2014 provides insights into 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 ones 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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