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AI in Telecommunication Market Size, Share, Growth, Sales Revenue and Key Drivers Analysis Research Report by 2026 | IBM, Microsoft, Intel, Google

ai in telecommunication market size share growth sales revenue and key drivers analysis research report by 2026 ibm microsoft intel google

AI in Telecommunicat

iCrowdNewswire   Feb 3, 2021  7:00 AM ET

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The AI in telecommunication market is expected to grow from USD 0.80 billion in 2018 to USD 3.74 billion by 2026, at a CAGR of 18.6% during the forecast period. The driving factor for growth being the enhanced growth of AI different telecommunication industries and the need to check the security for the contents shared on telecommunication network.

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Leading Players Profiled in the Report Include:

IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US),  ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).

The increasing demand to build a smarter world with the help of various technologies is moving faster than ever. Artificial intelligence (AI) is one such factor that is driving the need for the smart world. Because of its potential to invent new ideas and technologies, it is the most noticeable technology among various parts of the industries. Telecommunication industry is one such industry that is using AI in a larger portion ton deliver customer service by providing better network performance and reality. The leading telecommunication industries from various parts of the world is using AI to increase revenue and process big data. The rapid need for personalized customer experience is increasing the growth of the market.

Players will require increased investments to tackle these challenges and facilitate growth in the coming years. This report comprises drivers, restraints, opportunities, and challenges pertaining to the Cloud robotics market; and extensive value chain analysis, patent analysis, analysis of the current manufacturing capability and technology status, commercialization potential in different devices, along with market size forecasts till 2026.

Further key findings from the report suggest

Growth of AI in Telecommunication Market is directly fueled by the enhanced growth of AI in different telecommunication industries and need to check the content shared in telecommunication industry. The Ai in telecommunication market is expected to grow from USD 0.80 billion in 2018 to USD 3.74 billion by 2026, at a CAGR of 18.6% during the forecast period

The growth of AI in different telecommunication industries and need to check the content shared in telecommunication industry are one of the factors expected to drive the market. However, the issues faced with incompatibility and scarcity of professionals may act as the restraining factors for the growth of the market.

Based on deployment type, the market is segmented as on cloud, on premise. The cloud deployment uses less expensive algorithms to perform along with the features of being flexible, easy and quite affordable, which makes it the faster growing deployment type accepted by various industries than the on premise. The installation and maintenance cost is also affordable than the on premise.

Based on Use, the market is segmented as customer analysis, network optimization, network security self-diagnosis and virtual assistants. Virtual assistants uses AI to follow commands and instructions given by the user. One such example of virtual assistance is the online retailer spring that was one of the first among all to initiate the use of Facebook’s messenger’s Bot store to offer personal shopping assistance for the shoppers by engaging them in a simple conversations.

Based on technology, the market is segmented as Machine Learning and Natural learning. Machine learning along with the technology advancement is growing at a huge rate in today’s fast moving world. The AI for the machine learning is expected to grow the highest CAGR of 18 % during the forecast period. The growing demand of machine learning in different industries like automotive, healthcare and manufacturing, e.t.c are benefitting the growth of this market.

Based on region, the market is being segmented into Europe, APAC, North America, and Row. The largest share of about 40.0% is being brought by Asia Pacific in the global market and is expected to hold the place in terms of both usage and manufacturing in the upcoming years. The key contributors to the regional growth are Taiwan, Japan, and China.

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For the purpose of this report, the market has been segmented on the basis of deployment, Technology, Application and region:

Deployment mode (Revenue, USD Million; 2016–2026)

    • cloud
    • on premise

Use (Revenue, USD Million; 2016–2026)

    • Customer analysis
    • Network optimization
    • Network security
    • Self-diagnosis
    • Virtual assistants

Technology (Revenue, USD Million; 2016–2026)

    • Machine & deep learning
    • Natural learning

Regional Outlook (Revenue, USD Million; 2016–2026)

    • North America
    • Europe
    • Asia Pacific
    • Rest of the World

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Table of contents                            

Chapter 1. Market Synopsis

   1.1. Market Definition

   1.2. Research Scope & Premise

   1.3. Methodology

   1.4. Market Estimation Technique

Chapter 2. Executive Summary

   2.1. Summary Snapshot, 2016 – 2026

Chapter 3. AI in Telecommunication market Segmentation & Impact Analysis

   3.1. AI in Telecommunication Market Segmentation Analysis

   3.2. AI in Telecommunication Market Value Chain Analysis, 2017-2026

   3.3. AI in Telecommunication Market Impact Analysis

        3.3.1. Market driver analysis

                3.3.1.1. Enhanced growth of AI in different telecommunication industries

                3.3.1.2. Need to check the security for the contents shared in several telecommunication industry

       3.3.2. Market restraint analysis

                3.3.2.1. Issues faced with incompatibility

                3.3.2.2. Scarce Professionals

       3.3.3. Market opportunities

                3.3.3.1. Enhancement of new technologies like Cloud based AI in telecommunication industry

                3.3.3.2. Future growth in the use of smartphones with built in AI.

       3.3.4. Market Challenges

                3.3.4.1. Lack of inefficient professionals

                3.3.4.2. Issues associated with the identity and security of an individual

   3.4. Industry analysis – Porter’s Analysis

   3.5. AI in Telecommunication Market Competitive scenario, 2018

Chapter 4. AI in Telecommunication Market by Technology (Insights & Trends)

   4.1. AI in Telecommunication market by Technology, 2019 & 2026

   4.2. Machine learning & deep learning

   4.3. Natural learning process

Continued…

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