June 22, 2024
ICT

AI in Telecommunication Market Size, Trend, Report 2033

The global AI in telecommunication market size was valued at USD 1.34 billion in 2023 and is expected to grow to around USD 42.66 billion by 2033, significant at a CAGR of 41.40% from 2024 to 2033.

Key Takeaways

  • North America contributed more than 35% of market share in 2023.
  • Asia-Pacific is estimated to expand the fastest CAGR between 2024 and 2033.
  • By component, the solution segment has held the largest market share of 59% in 2023.
  • By component, the service segment is anticipated to grow at a remarkable CAGR of 44.9% between 2024 and 2033.
  • By application, the customer analytics segment generated over 29% of market share in 2023.
  • By application, the virtual assistance segment is expected to expand at the fastest CAGR over the projected period.
  • By technology, the data analytics segment generated over 32% of market share in 2023.
  • By technology, the machine learning segment is expected to expand at the fastest CAGR over the projected period.

AI In Telecommunication Market Size 2024 To 2033

The AI in Telecommunication market has witnessed substantial growth in recent years, driven by the integration of artificial intelligence technologies within the telecommunications sector. This synergy has resulted in the creation of innovative solutions that enhance network efficiency, customer experience, and overall operational effectiveness. As telecom companies seek to stay competitive and meet the demands of an increasingly digital world, AI applications are becoming integral to their strategies.

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Growth Factors

The growth of AI in Telecommunication is fueled by several factors. Firstly, the rising demand for high-speed connectivity and low-latency communication has prompted telecom operators to invest in AI-driven network optimization. Additionally, the deployment of AI in predictive maintenance and fault detection has proven crucial in minimizing downtime and ensuring seamless service delivery. The increasing adoption of 5G technology further amplifies the need for AI solutions to manage the complexity of these advanced networks.

AI in Telecommunication Market Scope

Report Coverage Details
Growth Rate from 2024 to 2033 CAGR of 41.40%
Global Market Size in 2023 USD 1.34 Billion
Global Market Size by 2033 USD 42.66 Billion
U.S. Market Size in 2023 USD 0.33 Billion
U.S. Market Size by 2033 USD 10.60 Billion
Base Year 2023
Forecast Period 2024 to 2033
Segments Covered By Component, By Application, and By Technology
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Read More: Men Skin Care Products Market Size To Cross USD 29.61 Bn By 2033

AI in Telecommunication Market Dynamics

Drivers:

Key drivers propelling the AI in Telecommunication market include the need for enhanced customer experience through personalized services and real-time issue resolution. AI-powered chatbots and virtual assistants are increasingly being employed for customer interactions, reducing response times and improving overall satisfaction. Moreover, the optimization of network resources, predictive analytics for capacity planning, and the automation of routine tasks are driving efficiency gains for telecom operators.

Opportunities:

Opportunities in the AI in Telecommunication market abound, especially in the development of advanced analytics tools that harness the vast amounts of data generated by telecom networks. Furthermore, the exploration of AI applications in cybersecurity for threat detection and prevention presents a promising avenue. As the industry evolves, collaborations between telecom companies and AI solution providers offer opportunities to create innovative products and services.

Challenges:

Despite the promising growth, the AI in Telecommunication market faces challenges such as the high upfront costs associated with implementing AI solutions and the need for skilled professionals to manage and optimize these technologies. Additionally, concerns around data privacy and security pose challenges in the adoption of AI applications, necessitating robust regulatory frameworks to address these issues.

Region Snapshot

The adoption of AI in Telecommunication is a global phenomenon, with various regions contributing to its growth. Developed regions such as North America and Europe are at the forefront, driven by technological advancements and significant investments in AI research and development. Meanwhile, emerging markets in Asia-Pacific show immense potential, spurred by the rapid expansion of telecommunications infrastructure and increasing smartphone penetration.

Recent Developments

  • In June 2023, Amdocs, a US-based provider of software and services for communication and media companies, introduced Amdocs amAIz, a cutting-edge telco generative AI framework. This innovative solution integrates carrier-grade architecture, combining open-source technology with large language AI models. Amdocs amAIz establishes a robust foundation for global communications service providers, enabling them to harness the extensive capabilities of generative AI.
  • In February 2023, Bharti Airtel, an India-based telecommunications service provider, revealed a collaboration with NVIDIA to develop an AI solution aimed at enhancing customer experiences for its contact center, specifically focusing on improving all inbound calls.
  • In September 2022, Amazon Web Services (AWS) and SK Telecom, a telecommunications company, formed a partnership to create a new range of computer vision services. This collaboration simplifies and optimizes the construction, utilization, and expansion of computer vision applications, ultimately enhancing productivity, equipment maintenance, and facility safety for customers, while concurrently reducing costs.
  • In November 2022, the African subsidiary of American Tower Corporation announced a strategic alliance with PowerX to introduce AI solutions in Africa’s telecommunications sector. The objective is to enhance energy efficiency and environmental benefits by optimizing energy consumption at tower locations.
  • In July 2022, Actifai, a software-as-a-service provider, joined forces with CSG, a customer engagement company, to revolutionize customer acquisition for cable and telecommunications service providers. The collaboration introduces an AI-powered offer recommendation solution, seamlessly integrating Actifai’s AI software to enhance average revenue per user (ARPU), increase sales conversions, and improve the overall customer sales and support experience. The partnership aims to leverage Actifai’s AI software to boost average revenue per user.

AI in Telecommunication Market Companies

  • Amdocs
  • Bharti Airtel
  • Amazon Web Services (AWS)
  • SK Telecom
  • American Tower Corporation
  • PowerX
  • Actifai
  • CSG
  • Nokia
  • Vodafone Ltd.
  • Google
  • AT&T Intellectual Property
  • Genpact
  • Actifai
  • NVIDIA

Segments Covered in the Report

By Component

  • Solution
  • Service

By Application

  • Network Security
  • Network Optimization
  • Customer Analytics
  • Virtual Assistance
  • Self-Diagnostics
  • Others

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Data Analytics
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Telecommunication Market 

5.1. COVID-19 Landscape: AI in Telecommunication Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Telecommunication Market, By Component

8.1. AI in Telecommunication Market Revenue and Volume, by Component, 2024-2033

8.1.1 Solution

8.1.1.1. Market Revenue and Volume Forecast (2021-2033)

8.1.2. Service

8.1.2.1. Market Revenue and Volume Forecast (2021-2033)

Chapter 9. Global AI in Telecommunication Market, By Application

9.1. AI in Telecommunication Market Revenue and Volume, by Application, 2024-2033

9.1.1. Network Security

9.1.1.1. Market Revenue and Volume Forecast (2021-2033)

9.1.2. Network Optimization

9.1.2.1. Market Revenue and Volume Forecast (2021-2033)

9.1.3. Customer Analytics

9.1.3.1. Market Revenue and Volume Forecast (2021-2033)

9.1.4. Virtual Assistance

9.1.4.1. Market Revenue and Volume Forecast (2021-2033)

9.1.5. Self-Diagnostics

9.1.5.1. Market Revenue and Volume Forecast (2021-2033)

9.1.6. Others

9.1.6.1. Market Revenue and Volume Forecast (2021-2033)

Chapter 10. Global AI in Telecommunication Market, By Technology 

10.1. AI in Telecommunication Market Revenue and Volume, by Technology, 2024-2033

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Volume Forecast (2021-2033)

10.1.2. Natural Language Processing (NLP)

10.1.2.1. Market Revenue and Volume Forecast (2021-2033)

10.1.3. Data Analytics

10.1.3.1. Market Revenue and Volume Forecast (2021-2033)

10.1.4. Others

10.1.4.1. Market Revenue and Volume Forecast (2021-2033)

Chapter 11. Global AI in Telecommunication Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.1.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.1.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.1.4. U.S.

11.1.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.1.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.1.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.1.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.1.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.2. Europe

11.2.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.2.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.2.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.2.4. UK

11.2.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.2.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.2.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.2.5. Germany

11.2.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.2.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.2.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.2.6. France

11.2.6.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.2.6.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.2.6.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.2.7.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.2.7.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.3. APAC

11.3.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.3.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.3.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.3.4. India

11.3.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.3.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.3.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.3.5. China

11.3.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.3.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.3.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.3.6. Japan

11.3.6.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.3.6.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.3.6.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.3.7.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.3.7.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.4. MEA

11.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.4.4. GCC

11.4.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.4.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.4.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.4.5. North Africa

11.4.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.4.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.4.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.4.6. South Africa

11.4.6.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.4.6.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.4.6.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.4.7.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.4.7.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.5. Latin America

11.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.5.4. Brazil

11.5.4.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.5.4.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.5.4.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Volume Forecast, by Component (2021-2033)

11.5.5.2. Market Revenue and Volume Forecast, by Application (2021-2033)

11.5.5.3. Market Revenue and Volume Forecast, by Technology (2021-2033)

Chapter 12. Company Profiles

12.1. Amdocs

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Bharti Airtel

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Amazon Web Services (AWS)

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. SK Telecom

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. American Tower Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. PowerX

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Actifai

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. CSG

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Nokia

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Vodafone Ltd.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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