Global AI in Telecommunications Market Size study, by Deployment, by Technology, by Application and Regional Forecasts 2022-2032

Description

Global AI in Telecommunications Market is valued at approximately USD 2.36 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 43.1% over the forecast period 2024-2032. AI in telecommunications refers to the strategic implementation of artificial intelligence technologies to streamline operations, enhance service delivery, and drive business growth within the telecom sector. By leveraging AI algorithms and machine learning, telecom companies optimize network performance, automate routine tasks, and personalize customer interactions. It enables them to enhance operational efficiency, reduce operational costs, and stay competitive in a rapidly evolving market. AI's predictive capabilities also aid in anticipating network issues, ensuring uninterrupted service, and enhancing overall customer satisfaction, resulting in increased revenue and market share. The usage of AI in the telecommunication sector is rapidly growing worldwide, driven by the increasing demand for advanced network management, the need for personalized customer experiences, and the industry's drive for greater operational efficiency and cost savings.

The telecommunications sector is witnessing a rise in the integration of AI in telecommunication technologies to enhance operational efficiencies and service offerings. A key driver of this trend is the adoption of streamlined AI application development methodologies, enabling telecom firms to swiftly deploy tailored AI solutions internally. This approach involves leveraging pre-built AI models and frameworks, significantly reducing the time and resources required for AI application development. As a result, telecom companies can expedite the creation and implementation of AI-powered solutions, such as network optimization, automated customer service, and predictive maintenance. Moreover, internal AI development empowers telecom firms to maintain control over their AI strategies, ensuring alignment with their strategic objectives and adherence to data privacy regulations. In essence, streamlined AI app development is enabling telecom companies to harness AI's transformative potential and drive innovation across the AI in telecommunication. Moreover, the leveraging of generative AI for operationalizing processes and efficient data management and automation presents various lucrative opportunities over the forecast years. However, data privacy concerns and a lack of skilled AI talent are challenging the market growth throughout the forecast period of 2024-2032.

The key regions considered for the Global AI in Telecommunications Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is a dominating region in the Global AI in Telecommunications Market in terms of revenue. The market growth in the region is being attributed to factors including its advanced telecommunications infrastructure, including robust network connectivity, high-speed internet, and widespread coverage, creating a conducive environment for implementing AI solutions. Whereas, the market in Asia Pacific is anticipated to grow at the fastest rate over the forecast period fueled by technological advancements, particularly in emerging economies such as China and India, which are driving the adoption of Artificial Intelligence (AI) in various industries, including telecommunications.

Major market players included in this report are:

Infosys Limited (India)
IBM Corporation (U.S.)
Cisco Systems Inc. (U.S.)
Telefonaktiebolaget LM Ericsson (Sweden)
Nokia Corporation (Finland)
Intel Corporation (U.S.)
Alphabet Inc. (U.S.)
Nuance Communications, Inc. (U.S.)
Nvidia Corporation (U.S.)
AT&T Corporation (U.S.)
Huawei Technologies Co., Ltd.
Ericsson AB
Cisco Systems, Inc.
Juniper Networks, Inc.
ZTE Corporation

The detailed segments and sub-segment of the market are explained below:

By Deployment

Cloud
On-Premises

By Technology

Machine Learning
Natural Language Processing
Big Data
Others (Deep Learning)

By Application

Network/IT Operations Management
Customer Service and Marketing VDAS
CRM Management
Radio Access Network
Customer Experience Management
Predictive Maintenance
Others (Fraud Mitigation)

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global AI in Telecommunications Market Executive Summary

1.1. Global AI in Telecommunications Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Deployment
- 1.3.2. By Technology
- 1.3.3. By Application
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI in Telecommunications Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global AI in Telecommunications Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Demand for Advanced Network Management
- 3.1.2. Need for Personalized Customer Experiences
- 3.1.3. Industry's Drive for Greater Operational Efficiency and Cost Savings
3.2. Market Challenges
- 3.2.1. Data Privacy Concerns
- 3.2.2. Lack of Skilled AI Talent
3.3. Market Opportunities
- 3.3.1. Leveraging Generative AI for Operationalizing Processes
- 3.3.2. Efficient Data Management and Automation

Chapter 4. Global AI in Telecommunications Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 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
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Telecommunications Market Size & Forecasts by Deployment 2022-2032

5.1. Segment Dashboard
5.2. Global AI in Telecommunications Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Cloud
- 5.2.2. On-Premises

Chapter 6. Global AI in Telecommunications Market Size & Forecasts by Technology 2022-2032

6.1. Segment Dashboard
6.2. Global AI in Telecommunications Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Machine Learning
- 6.2.2. Natural Language Processing
- 6.2.3. Big Data
- 6.2.4. Others (Deep Learning)

Chapter 7. Global AI in Telecommunications Market Size & Forecasts by Application 2022-2032

7.1. Segment Dashboard
7.2. Global AI in Telecommunications Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. Network/IT Operations Management
- 7.2.2. Customer Service and Marketing VDAS
- 7.2.3. CRM Management
- 7.2.4. Radio Access Network
- 7.2.5. Customer Experience Management
- 7.2.6. Predictive Maintenance
- 7.2.7. Others (Fraud Mitigation)

Chapter 8. Global AI in Telecommunications Market Size & Forecasts by Region 2022-2032

8.1. North America AI in Telecommunications Market
- 8.1.1. U.S. AI in Telecommunications Market
  - 8.1.1.1. Deployment breakdown size & forecasts, 2022-2032
  - 8.1.1.2. Technology breakdown size & forecasts, 2022-2032
  - 8.1.1.3. Application breakdown size & forecasts, 2022-2032
- 8.1.2. Canada AI in Telecommunications Market
8.2. Europe AI in Telecommunications Market
- 8.2.1. U.K. AI in Telecommunications Market
- 8.2.2. Germany AI in Telecommunications Market
- 8.2.3. France AI in Telecommunications Market
- 8.2.4. Spain AI in Telecommunications Market
- 8.2.5. Italy AI in Telecommunications Market
- 8.2.6. Rest of Europe AI in Telecommunications Market
8.3. Asia-Pacific AI in Telecommunications Market
- 8.3.1. China AI in Telecommunications Market
- 8.3.2. India AI in Telecommunications Market
- 8.3.3. Japan AI in Telecommunications Market
- 8.3.4. Australia AI in Telecommunications Market
- 8.3.5. South Korea AI in Telecommunications Market
- 8.3.6. Rest of Asia Pacific AI in Telecommunications Market
8.4. Latin America AI in Telecommunications Market
- 8.4.1. Brazil AI in Telecommunications Market
- 8.4.2. Mexico AI in Telecommunications Market
- 8.4.3. Rest of Latin America AI in Telecommunications Market
8.5. Middle East & Africa AI in Telecommunications Market
- 8.5.1. Saudi Arabia AI in Telecommunications Market
- 8.5.2. South Africa AI in Telecommunications Market
- 8.5.3. Rest of Middle East & Africa AI in Telecommunications Market

Chapter 9. Competitive Intelligence

9.1. Key Company SWOT Analysis
9.2. Top Market Strategies
9.3. Company Profiles
- 9.3.1. Infosys Limited
  - 9.3.1.1. Key Information
  - 9.3.1.2. Overview
  - 9.3.1.3. Financial (Subject to Data Availability)
  - 9.3.1.4. Product Summary
  - 9.3.1.5. Market Strategies
- 9.3.2. IBM Corporation
- 9.3.3. Cisco Systems Inc.
- 9.3.4. Telefonaktiebolaget LM Ericsson
- 9.3.5. Nokia Corporation
- 9.3.6. Intel Corporation
- 9.3.7. Alphabet Inc.
- 9.3.8. Nuance Communications, Inc.
- 9.3.9. Nvidia Corporation
- 9.3.10. AT&T Corporation
- 9.3.11. Huawei Technologies Co., Ltd.
- 9.3.12. Ericsson AB
- 9.3.13. Cisco Systems, Inc.
- 9.3.14. Juniper Networks, Inc.
- 9.3.15. ZTE Corporation

Chapter 10. Research Process

10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
10.2. Research Attributes