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Global AI in Telecommunication Market: Industry Analysis and Forecast (2020-2026)

Submitted by jay99 on Wed, 07/14/2021 - 21:25

Global AI in Telecommunication Market was valued at US$ 767.29 Mn. in 2019 and is expected to reach US$ 8.22 Mn. by 2026, at a CAGR of 48.55% during a forecast period.

Global AI in Telecommunication Market

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Global AI in Telecommunication Market Overview:

Artificial intelligence (AI) in telecommunication uses software & algorithms to estimate human perception to examine big data like call record, data consumption, and use of the application to increase the customer experience. Also, Artificial intelligence helps telecom operators to detect flaws in the network, network optimization, network security, and provide virtual assistance.

Global AI in the Telecommunication market is mainly driven by the integration of AI with future wireless networks. AI & ML (machine learning) technologies are expected to play a significant role in the integration of 5G cellular networking technologies and automating of the networks. Telecomm companies are integrating AI technologies in their 5G cellular networks to propose telecommunication services & tools.

For example, in 2018, SK Telecom Company stated to incorporate Artificial intelligence technologies in the 5G network that would accelerate the 5G-network ecosystem. On the flip side, the global AI in the telecommunication market is hampered by the lack of availability of cheaper hardware to improve AI-enabled products.

Developing AI Trends in the Telecom Industry:

The MMR report covers all the trends and technologies playing a major role in the growth of the Global AI in the Telecommunication market over the forecast period. Some of the trends are illustrated below, their detailed explanation is discussed in the MMR report with other supporting:

• Applications of Artificial intelligence are revolutionizing the way telecoms optimize, operate, and offer service to their customers.

Nowadays communications service providers (CSPs) face growing customer demands for higher quality services and well customer experiences (CX). Key players are addressing these opportunities by leveraging the huge amounts of data collected over the years from their huge customer base. This data is rejected from networks, devices, mobile applications, detailed customer profiles, services usage and billing data.

• Predictive Maintenance

AI-driven projecting analytics is one of the current trends helping telecoms offer better services by utilizing sophisticated algorithms, data, and ML techniques to predict future results based on past data. The AT&T company is using ML to enhance their end-to-end incident management process by identifying network issues in real-time. The technology can address 15 million alarms daily, restoring service before the consumers notice an outage.

• Virtual Assistants

Conversational AI platform is called virtual assistants - have learned to automate and scale one-on-one conversations so efficiently that the market is expected to grow to US$XX billion by 2025, a CAGR of XX.19% from 2020-2026. Virtual assistants are a developing trend in this sector, tapped to aid contend with the large number of support requests for installation, troubleshooting and maintenance, set up, which often overpower customer support centres.

Services Segment expected to Hold Largest Share in the AI in Telecommunication Market

Based on component, the services segment accounted for over 62% of the overall market share in 2019 thanks to growing awareness among telecommunication enterprises about the benefits and features of AI technology in the telecom industry. Furthermore, the rising adoption of AI in many applications in the telecom industry is fuelling the growth of the service segment.

Global AI in Telecommunication Market 1

Natural Language Processing (NLP) Segment is expected to grow at the highest CAGR of 49.27% during 2020-2026.

By technology, the natural language processing (NLP) segment is estimated to account for XX% of the total market share in 2019 and is expected to grow at the highest CAGR of 49.27% during the forecast period. This growth is attributed to the use of NLP technology to read the information stored in the digital format and used to understand the human languages from many data sets in the telecommunication industry.

Global AI in Telecommunication Market 2

North America is an Emerging Market

North America is expected to hold the largest XX% growth rate during 2020-2026 thanks to the presence of a majority of the major companies that are offering their solutions in the region. These include Intel Corporation (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Google (U.S.) & others.

Moreover, North America has been identified as one region that has observed wide adoption of AI across all the major end-user sectors. Further, high investment in R&D activities to help the adoption & upsurge the application areas of AI.

Asia Pacific occupied the second largest market share of XX.19% in 2019.

The fastest growth rate of APAC is attributed to the various facts likes growing telecom subscribers, increasing smartphone users, AI development plan & others. Such as China 13th five-year plant (2016-2020) contains its agenda to transform China into a Nation of Innovation. China has launched the 13th Five-Year National Science and Technology Innovation Plan called for China to grab the “high ground” in global scientific development in a year.

Competitive Landscape

In recent years, major players in the AI in the Telecommunication market have taken several strategic measures, such as facility expansions and partnerships.

The objective of the report is to present a comprehensive analysis of the Global AI in Telecommunication Market to the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language.

The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers.

The report also helps in understanding the Global AI in Telecommunication Market dynamics, structure by analyzing the market segments and project the Global AI in Telecommunication Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Global AI in Telecommunication Market make the report investor’s guide.

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Scope of the Global AI in Telecommunication Market: Inquire before buying

Global AI in Telecommunication Market, by Technology

• Machine learning and deep learning

• Natural Language Processing (NLP)

Global AI in Telecommunication Market, by Component

• Solutions

o Software tools

o Platforms

• Services

o Professional services

o Managed services

Global AI in Telecommunication Market, by Deployment Mode

• Cloud

• On-premises

Global AI in Telecommunication Market, by Application

• Customer analytics

• Network security

• Network optimization

• Self-diagnostics

• Virtual assistance

• Others (contact center analytics and marketing campaign analytics)

Global AI in Telecommunication Market, by Region

• North America

• Europe

• Asia-Pacific

• Middle East& Africa

• South America

Global AI in Telecommunication Market Key players

• Intel

• Google

• AT&T

• Microsoft

• ZTE Corporation.

• Cisco Systems

• Nuance Communications

• Sentient Technologies

• H2O.ai

• Evolv Technology Solutions

• Infosys

• alesforce

• Nvidia

• IBM Corp

• Salesforce.com

• Amdocs

• others

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