The global artificial intelligence in telecommunication market size is projected to be valued at US$ 1,180.9 million in 2023 and is anticipated to reach US$ 14,496 million by 2033, with a notable CAGR of 28.5% from 2023 to 2033.
The adoption of 5G technologies in mobile networks, as well as the growing demand for effective and efficient network management solutions, have been driving artificial intelligence in the telecommunication market growth. Also, increased AI-embedded smartphone penetration and the increased acceptance of AI solutions in various telecom applications are expected to boost the demand for artificial intelligence in telecommunication.
Artificial intelligence in the telecommunication market is gaining traction and popularity as maintenance of the telecom network became the first priority for telecom companies. A network failure reveals the company's lack of honesty and disregard for its clients. Further, network failure also results in financial losses for the company. AI is being employed to solve this issue.
The demand for artificial intelligence in telecommunication is rising as telecom companies can significantly pinpoint the problem with AI. Downtime can be reduced with AI, which is another factor propelling artificial intelligence in the telecommunication market growth. Further, by utilizing context-aware technologies and IoT processes, maintenance work may be completed swiftly.
Drones are being used by many businesses to perform network maintenance. Comarch is one such company that uses AI-enabled drones to provide solutions for telecom network maintenance.
Telecom vendors typically deploy AI for customer care apps like chatbots and virtual assistants to address various support requests for installation, maintenance, and troubleshooting. Moreover, telecom companies are implementing AI to improve customer experience which is projected to boost the adoption of artificial intelligence in telecommunication.
| Attributes | Details |
|---|---|
| Artificial Intelligence in Telecommunication Market CAGR (2023 to 2033) | 28.5% |
| Artificial Intelligence in Telecommunication Market Value (2023) | US$ 1,180.9 million |
| Artificial Intelligence in Telecommunication Market Value (2033) | US$ 14,496 million |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
Principal Consultant
The customer analytics category is likely to have a significant market share with a valuation of US$ 2,350 million by 2033 due to the increased demand for real-time behavioral insights.
Artificial intelligence enables operators to collect and evaluate consumer data from the perspective of subscriber intelligence. This information can then be used in a variety of circumstances, including adverts and personalized offers for the subscriber. Additionally, it can also be utilized by network operators to optimize network consumption.
The virtual assistance segment is predicted to expand notably at a CAGR of 25.5% during the forecast period as customer service automation generates significant savings for telecom firms. Customer service chatbots in the communication business can be effectively educated since machine learning algorithms can automate questions and send clients to the most appropriate person.
| Region/Country | North America |
|---|---|
| Key Growth Factors |
|
| Key Statistic | Projected to account for the second largest share with a value of US$ 2,100 million by 2033. |
| Region/Country | Europe |
|---|---|
| Key Growth Factors |
|
| Key Statistic | Estimated to dominate artificial intelligence in the telecommunication market by 2033 with a CAGR of 26.5% from 2023 to 2033. |
| Region/Country | Middle East & Africa |
|---|---|
| Key Growth Factors |
|
| Key Statistic | Anticipated to be valued at US$ 500 million and expanded at a significant CAGR of 32% from 2023 to 2033. |
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
The presence of active players in the artificial intelligence in telecommunication market makes it competitive. Further, market players are working on expanding their client base through various strategic initiatives such as partnerships, mergers and acquisitions, and collaborations. For example,
Startups in the artificial intelligence in the telecommunication market are conducting their own AI research to strengthen their business models. It is easy for telecom firms to make accurate decisions when using AI.
With the appropriate forecasts from AI systems, users can gain insight into their decisions before putting them into action in real life. Telecom firms can get an advantage over their competitors by utilizing AI's predictive skills. For example,
Recent Developments in the Artificial Intelligence in Telecommunication Market
| Report Attribute | Details |
|---|---|
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Artificial Intelligence in Telecommunication Market CAGR (2023 to 2033) | 28.5% |
| Artificial Intelligence in Telecommunication Market Value (2023) | US$ 1,180.9 million |
| Artificial Intelligence in Telecommunication Market Value (2033) | US$ 14,496 million |
| Quantitative Units | Revenue in USD million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered | Deployment, Application, Region |
| Regions Covered | North America; Latin America; Western Europe; Eastern Europe; South Asia & Pacific; East Asia; The Middle East & Africa (MEA) |
| Key Countries Profiled | The United States, Canada, Brazil, Mexico, Germany, The United Kingdom, France, Spain, Italy, Poland, Russia, Czech Republic, Romania, India, Bangladesh, Australia, New Zealand, China, Japan, South Korea, GCC Countries, South Africa, Israel |
| Key Companies Covered | IBM Corporation; Microsoft; Intel Corporation; Google; AT&T Intellectual Property; Cisco Systems; Nuance Communications, Inc.; Evolv Technology Solutions, Inc.; H2O.ai; Infosys Limited; Salesforce.com, Inc.; NVIDIA Corporation |
| Customization | Available Upon Request |
The material tester market was valued at US$ 800 million in 2023.
Humboldt Mfg. Co., Aimil Ltd., Matest, EIE Instruments, Controls Group, Torontech Inc., and more.
Universal testing machine and Hardness testing machine.
Introduction of novel material testing machines with enhanced software capabilities and analysis.
China and India are experiencing high demand for material tester.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033 5.3.1. AI Platform 5.3.2. Services 5.3.2.1. Professional Services 5.3.2.2. Managed Services 5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033 6.3.1. Cloud-based 6.3.2. On-premises 6.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 7.3.1. Network Security 7.3.2. Network Optimization 7.3.3. Customer Analytics 7.3.4. Virtual Assistance 7.3.5. Other Applications 7.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Western Europe 8.3.4. Eastern Europe 8.3.5. South Asia and Pacific 8.3.6. East Asia 8.3.7. Middle East and Africa 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Solution 9.2.3. By Deployment 9.2.4. By Application 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Solution 9.3.3. By Deployment 9.3.4. By Application 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Solution 10.2.3. By Deployment 10.2.4. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Solution 10.3.3. By Deployment 10.3.4. By Application 10.4. Key Takeaways 11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. UK 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Western Europe 11.2.2. By Solution 11.2.3. By Deployment 11.2.4. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Solution 11.3.3. By Deployment 11.3.4. By Application 11.4. Key Takeaways 12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Poland 12.2.1.2. Russia 12.2.1.3. Czech Republic 12.2.1.4. Romania 12.2.1.5. Rest of Eastern Europe 12.2.2. By Solution 12.2.3. By Deployment 12.2.4. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Deployment 12.3.4. By Application 12.4. Key Takeaways 13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Bangladesh 13.2.1.3. Australia 13.2.1.4. New Zealand 13.2.1.5. Rest of South Asia and Pacific 13.2.2. By Solution 13.2.3. By Deployment 13.2.4. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Deployment 13.3.4. By Application 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Solution 14.2.3. By Deployment 14.2.4. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Deployment 14.3.4. By Application 14.4. Key Takeaways 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Solution 15.2.3. By Deployment 15.2.4. By Application 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Deployment 15.3.4. By Application 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Solution 16.1.2.2. By Deployment 16.1.2.3. By Application 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Solution 16.2.2.2. By Deployment 16.2.2.3. By Application 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Solution 16.3.2.2. By Deployment 16.3.2.3. By Application 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Solution 16.4.2.2. By Deployment 16.4.2.3. By Application 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Solution 16.5.2.2. By Deployment 16.5.2.3. By Application 16.6. UK 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Solution 16.6.2.2. By Deployment 16.6.2.3. By Application 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Solution 16.7.2.2. By Deployment 16.7.2.3. By Application 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Solution 16.8.2.2. By Deployment 16.8.2.3. By Application 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Solution 16.9.2.2. By Deployment 16.9.2.3. By Application 16.10. Poland 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Solution 16.10.2.2. By Deployment 16.10.2.3. By Application 16.11. Russia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Solution 16.11.2.2. By Deployment 16.11.2.3. By Application 16.12. Czech Republic 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Solution 16.12.2.2. By Deployment 16.12.2.3. By Application 16.13. Romania 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Solution 16.13.2.2. By Deployment 16.13.2.3. By Application 16.14. India 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Solution 16.14.2.2. By Deployment 16.14.2.3. By Application 16.15. Bangladesh 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Solution 16.15.2.2. By Deployment 16.15.2.3. By Application 16.16. Australia 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Solution 16.16.2.2. By Deployment 16.16.2.3. By Application 16.17. New Zealand 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Solution 16.17.2.2. By Deployment 16.17.2.3. By Application 16.18. China 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Solution 16.18.2.2. By Deployment 16.18.2.3. By Application 16.19. Japan 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Solution 16.19.2.2. By Deployment 16.19.2.3. By Application 16.20. South Korea 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Solution 16.20.2.2. By Deployment 16.20.2.3. By Application 16.21. GCC Countries 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Solution 16.21.2.2. By Deployment 16.21.2.3. By Application 16.22. South Africa 16.22.1. Pricing Analysis 16.22.2. Market Share Analysis, 2022 16.22.2.1. By Solution 16.22.2.2. By Deployment 16.22.2.3. By Application 16.23. Israel 16.23.1. Pricing Analysis 16.23.2. Market Share Analysis, 2022 16.23.2.1. By Solution 16.23.2.2. By Deployment 16.23.2.3. By Application 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Solution 17.3.3. By Deployment 17.3.4. By Application 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. IBM Corporation 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. Microsoft 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. Intel Corporation 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Google 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. AT&T Intellectual Property 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Cisco Systems 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Nuance Communications, Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. Evolv Technology Solutions, Inc. 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. H2O.ai 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Infosys Limited 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.11. Salesforce.com, Inc. 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.12. NVIDIA Corporation 18.1.12.1. Overview 18.1.12.2. Product Portfolio 18.1.12.3. Profitability by Market Segments 18.1.12.4. Sales Footprint 18.1.12.5. Strategy Overview 18.1.12.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
Explore Technology Insights
View Reports
Artificial Intelligence in Telecommunication Market
