Artificial Intelligence (AI) for Telecommunication Market Analysis 2021, Size, Top Players with Share, Total Revenues, Product Scope, Business Development and Opportunities till 2030

In a recently published report, Artificial Intelligence (AI) for Telecommunication Market report for till 2030. The report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to regain 25% by the end of 2021- Positive Growth in the economic demand and supply.

U S Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Artificial Intelligence (AI) for Telecommunication Market products.

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Moreover, increase in ICT spending around the globe for hardware, software, services, new technologies and telecom among others is also anticipated to contribute to the growth of the market in the coming years. The spending on new technologies recorded around USD 0.6 million in 2018 and is further estimated to reach close to USD 1.3 million by 2023. The total ICT spending around the globe further recorded close to USD 5 million in 2019 and is further.

Global Artificial Intelligence (AI) for Telecommunication Market valued approximately USD 651.2 million in 2017 is anticipated to grow with a healthy growth rate of more than 42% over the forecast period 2018-2025. The Artificial Intelligence (AI) for Telecommunication Market is continuously growing in the global scenario at significant pace. Artificial intelligence (AI) is group of methodology that focus on formation of intelligent machines with the help of human intelligence such as visual perception, speech recognition, decision-making, and translation between languages.

The main application of artificial intelligence in telecommunications is for network management. The two key technologies that are widely in telecommunication industry are expert systems and machine learning. Transformation of communications service providers to digital service providers, complexity of service offerings demand automation and emergence of fifth generation mobile networks along with internet of things are the substantial driving factors of the market during the forecast period.

In the statistics by Eurostat, the total value of the ICT sector including manufacturing and services of ICT in Europe, was estimated to be more than EUR 475 billion in the year 2017. Out of these, the ICT services sector accounted for the largest share. Moreover, the ICT services sector is predicted to be ten times larger than that of ICT manufacturing. On the other hand, the ICT services consist of computer programming, consultancy and related activities, along with telecommunication activities, out of which the former held about 49.1% share while the latter held around 30.3% share in the year 2017. These factors are estimated to impact positively towards the growth of the market in the next few years. According to the statistics by GSMA Intelligence, total cellular connections worldwide as of May 2020 was recorded to 10,18 billion.

As per the Eurostat, the total value of the ICT sector in Europe, including the ICT manufacturing and ICT services, was estimated to be more than EUR 475 billion in 2017. In this sector, the ICT services account for the major share as it is predicted to be ten times larger than the share held by ICT manufacturing. ICT services consist of computer programming, consultancy and related activities which held about 49.1% share while the telecommunications activities held around 30.3% share in the segment in 2017. These factors are estimated to impact the market growth in a positive manner in the next few years.

Moreover, rising focus on AI technologies with upcoming wireless technologies is the major factors that likely to create numerous opportunity in the near future. In addition, Artificial Intelligence (AI) for Telecommunication improve interaction with data coupled with better end-point control are another factors that impelling the growth in the market of Artificial Intelligence (AI) for Telecommunication during the forecast period. However, slow rollout of software-defined networks and network function virtualization and lack of skilled professionals are the factors that limiting the growth of the market across the world.

The regional analysis of Global Artificial Intelligence (AI) for Telecommunication Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share due to rising R&D in autonomous vehicle, healthcare, cybersecurity and security and presence of access control technologies in the region. Europe is estimated to grow at stable growth rate in the global Artificial Intelligence (AI) for Telecommunication market over the upcoming years. Further, Asia-Pacific anticipated to exhibit higher growth rate / CAGR over the forecast period 2018-2025 owing to rising investment on AI technologies in the region.

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 The major market player included in this report are:
Atomwise Inc.
Lifegraph
Zebra Medical Vision Inc.
Baidu Inc.
Microsoft Corporation
IBM


The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

Tools
Services

By Application:

Traffic Classification
Resource Utilization & Network Optimization
Anomaly Detection
Prediction
Network Orchestration

By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025

Target Audience of the Global Artificial Intelligence (AI) for Telecommunication Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

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TABLE OF CONTENTS

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Million)
1.3.1. Artificial Intelligence (AI) for Telecommunication Market, by Component, 2015-2025 (USD Million)
1.3.2. Artificial Intelligence (AI) for Telecommunication Market, by Application, 2015-2025 (USD Million)
1.3.3. Artificial Intelligence (AI) for Telecommunication Market, by Region, 2015-2025 (USD Million)
1.4. Estimation Methodology
1.5. Research Assumption

Chapter 2. Artificial Intelligence (AI) for Telecommunication Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates

Chapter 3. Artificial Intelligence (AI) for Telecommunication Market Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities


Chapter 4. Artificial Intelligence (AI) for Telecommunication Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Value Chain Analysis
4.3.1. Supplier
4.3.2. Manufacturers/Service Provider
4.3.3. Distributors
4.3.4. End-Users
4.4. Key Buying Criteria
4.5. Regulatory Framework
4.6. Cost Structure Analysis
4.6.1. Raw Material Cost Analysis
4.6.2. Manufacturing Cost Analysis
4.6.3. Labour Cost Analysis

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