by The AI in telecommunication market would grow at a CAGR of 41.40% over the predicted time frame. The market is expected to increase in value from US$ 1.34 billion in 2023 to US$ 42.66 billion by 2033.
The on AI in telecommunication Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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.
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A recent report provides crucial insights along with application based and forecast information in the Global AI in telecommunication Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the AI in telecommunication market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
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 |
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Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global AI in telecommunication market are included as given below:
AI in Telecommunication Market Companies
- Amdocs
- Bharti Airtel
- Amazon Web Services (AWS)
- SK Telecom
- American Tower Corporation
- PowerX
- Actifai
- CSG
- Nokia
- Vodafone Ltd.
- 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
Report Objectives
- To define, describe, and forecast the global AI in telecommunication market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the AI in telecommunication market
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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