Artificial Intelligence (AI) in Telecommunication Market Size Worth USD 54.51 Billion In 2032 | Published by Emergen Research

The global Artificial Intelligence (AI) in telecommunication market size was USD 1.70 Billion in 2022 and is expected to register a steady revenue CAGR of 41.4% during the forecast period, according to latest analysis by Emergen Research. Rising adoption of AI solutions in various telecom applications, increasing need for monitoring the content spread on telecommunication networks, and advent of 5G technology in smartphones are key factors driving market revenue growth. AI in telecom uses software & algorithms to estimate human perception to analyze big data, such as data consumption, call record, and use of the application, to improve the customer experience. Governments all over the world are focusing on implementing 5G as a result of their understanding about how it would affect society and the economy's digital revolution.

5G technologies are expected to drive digital transformation, Internet of Things (loT), edge computing, and Al in the cellular communication sector. In addition, rising consumer demand for better services and a seamless customer experience is another key factor driving revenue growth of the market. Telecom operators are expected to profit financially from opportunities to provide enterprise process automation services powered by edge computing and Al as well as outsourced Information Technology (IT) services as 5G installations rise.

A number of well-known telecom service companies, such as Charter Communications, AT&T, and Verizon, are expected to make large investments in Al.

The report is attuned with the latest market changes and economic landscape with regard to the currently unfolding COVID-19 pandemic. The crisis has affected the demand and supply pattern, as well as the trends of the industry. It has also brought an economic slowdown that has affected the business of the key manufacturers of the industry. The report estimates the impact of this crisis on the current scenario and future prospects and provides a post-COVID market scenario.

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Drivers of Artificial Intelligence (AI) in Telecommunication Market Growth :
Several factors are driving the adoption of AI in the telecommunications market. Firstly, the exponential growth of data generated by telecom networks, including call records, network logs, and customer interactions, necessitates advanced analytics tools to extract valuable insights and ensure efficient network management. Secondly, the increasing complexity of telecom infrastructure and the need for real-time decision-making call for AI-driven automation solutions to streamline operations and reduce manual intervention. Additionally, the rising demand for personalized services and proactive customer support motivates telecom companies to leverage AI-powered chatbots and virtual assistants to deliver tailored experiences and resolve queries efficiently.

Advantages and Growth Factors :
The incorporation of AI in telecommunication offers numerous advantages and growth opportunities. By analyzing vast amounts of data in real-time, AI algorithms can identify network anomalies, predict potential failures, and optimize resource allocation, leading to improved network performance and reliability. Moreover, AI-driven customer engagement tools enable telecom providers to offer personalized recommendations, targeted marketing campaigns, and proactive support services, enhancing customer satisfaction and loyalty. Furthermore, AI-powered network optimization and predictive maintenance help reduce operational costs and downtime, contributing to increased profitability and competitiveness in the telecom market.

The report also discusses the key players involved in the market such as:
IBM Corporation, Google LLC, Microsoft, Intel Corporation, AT&T Intellectual Property, Infosys Limited, Salesforce, Inc., Cisco Systems, Inc., Nuance Communications, Inc., NVIDIA Corporation, Sentient.io, H2O.ai, Evolv AI, ZTE Corporation, and Huawei Technologies Co., Ltd.

The report provides a thorough estimation of the overall impact of the pandemic on the Artificial Intelligence (AI) in Telecommunication Market and its vital segments. The report also discusses the impact of the pandemic across different regions of the market. It also offers a current and future assessment of the impact of the pandemic on the Artificial Intelligence (AI) in Telecommunication Market

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Segment Analysis

Emergen Research has segmented the global AI in telecommunication market on the basis of component, deployment mode, technology, application, and region:
• Component Outlook (Revenue, USD Billion; 2019-2032)
o Solutions
1. Software Tools
2. Platforms
o Services
1. Professional Services
2. Managed Services

• Deployment Mode Outlook (Revenue, USD Billion; 2019-2032)
o On-Premise
o Cloud
• Technology Outlook (Revenue, USD Billion; 2019-2032)
o Machine Learning (ML)
o Natural Language Processing (NLP)
o Others

• Application Outlook (Revenue, USD Billion; 2019-2032)
o Customer Analytics
o Network Security
o Network Optimization
o Self-Diagnostics
o Virtual Assistance
o Others

• Regional Outlook (Revenue, USD Billion; 2019-2032)
o North America
1. U.S.
2. Canada
3. Mexico
o Europe
1. Germany
2. France
3. UK
4. Italy
5. Spain
6. Benelux
7. Rest of Europe
o Asia Pacific
1. China
2. India
3. Japan
4. South Korea
5. Rest of APAC
o Latin America
1. Brazil
2. Rest of LATAM
o Middle East & Africa
1. Saudi Arabia
2. UAE
3. South Africa
4. Turkey
5. Rest of Middle East & Africa

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