Artificial Intelligence Insight Series - Artificial Intelligence in Telecom - Nokia, Ericsson, Cisco and Zephyrtel

Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market - Global Market Analysis and Forecast to 2024, provides a 360-degree overview of the Global market. Approximations associated with the market values over the forecast period are based on empirical research and data collected through both primary and secondary sources. The authentic processes followed to exhibit various aspects of the market makes the data reliable in context to a particular time period and industry.

It provides market intelligence on different sections of the report types, dependent on end-users and geography. Prediction and Artificial Intelligence Insight Series - Artificial Intelligence in Telecom market size are given in the report concerning volume, value, and both. Reveal qualitative Artificial Intelligence Insight Series - Artificial Intelligence in Telecom evaluation of those variables responsible for controlling and both driving potential and growing market opportunities also have been discussed.

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Report Overview and Coverage:

Growing complexities in the communication networks today calls 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 chipsets 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.

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 maximizing 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 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.
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.
• Virtualization of networks is fueling 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.

This report is highly informative document with inclusion of comprehensive market data associated with the significant elements and subdivision of the “Global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market” that may impact the growth scenarios of the industry. The report may commendably help trades and decision makers to address the challenges and to gain benefits from highly competitive “Global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market”.

“Global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market” is research report of comprehensive nature which entails information in relation with major regional markets, current scenarios. This includes key regional areas such as North America, Global, Asia-Pacific, etc. and the foremost countries such as Global, Germany, United Kingdom, Japan, South Korea, Global and China.

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Important Points in Global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market Trends Report:

Market Methodology and Repository: Methodology/Research Approach, Research Programs/Design, Global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market Size Estimation, Economy Breakdown, and Data Triangulation, Repository (Secondary Resources, Main Resources), Disclaimer.
Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Key Players, Types and Application: Key Players Profile, SWOT Analysis and Forecast, Revenue Volume Sales Price Cost, and Gross-margin, Contest by Players/Suppliers, Region, Types, and Application.
Industry Chain and Supply Chain: Industry Chain Structure, R&D, Recyclables (Components), global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Market Manufacturing Plants, Regional Trading (Import export and Neighbourhood Sales), on the Web Sales Channel, off Line Channel, End-users, Manufacturing (Key Components, Assembly Manufacturing).
Artificial Intelligence Insight Series - Artificial Intelligence in Telecom Economy by Manufacturing Cost Analysis: Price Trend, Key Providers, Market Concentration Cost of Chemical Materials, Proportion of Manufacturing Cost Structure (Labour Cost), Manufacturing Process Analysis.

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Research Objectives:

To study and analyze the global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Artificial Intelligence Insight Series - Artificial Intelligence in Telecom market by identifying its various subsegments.
Focuses on the key global Artificial Intelligence Insight Series - Artificial Intelligence in Telecom players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence Insight Series - Artificial Intelligence in Telecom with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Artificial Intelligence Insight Series - Artificial Intelligence in Telecom submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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