GITNUX MARKETDATA REPORT 2024

AI In The Telecommunication Industry Statistics

AI is expected to revolutionize the telecommunications industry by optimizing network performance, improving customer experience, and enabling predictive maintenance.

Highlights: Ai In The Telecommunication Industry Statistics

  • By 2027, AI in the telecommunication market is expected to reach USD 14.6 billion, growing at a CAGR of 28.3 % during 2020-2027.
  • Automated customer service is the most substantial field of AI application in telecommunications, with 80% of telecoms using AI to automate and optimize their services.
  • As of 2020, nearly 67% of telecommunications companies started using machine learning and other AI technologies.
  • The Asia-Pacific AI in telecommunications market accounted for the highest revenue in 2019 with over 29%.
  • The global predictive maintenance market in the telecom industry is predicted to grow at a 38.9% CAGR by 2025 due to AI advancements.
  • Voice recognition makes up 68.7% of the revenue in the global AI market in telecommunication.
  • Around 64% of telecom companies aim to use AI to identify cybersecurity threats.
  • AI’s total global investment across different industries, including telecommunications, is expected to reach $57.6 billion by 2021.
  • By 2035, AI technologies could increase business productivity by up to 40% in the telecommunications industry.
  • As per a study by BCG, commercial applications of AI in telecom are projected to produce up to $1.5 trillion in value by 2030.
  • Automated Threat Intelligence & Prevention Systems held the largest market share of 29% in the AI in Telecommunication Market in 2017.
  • The AI in Telecommunication market was worth approximately 2.51 billion U.S. dollars in 2018.
  • More than 30% of the tasks in 60% of all jobs, including those in the telecommunications sector, could be automated by using AI technologies.
  • In 2021, 31% of telecoms have started investing in AI for predictive maintenance.
  • The North American region held the largest share in the AI in telecommunication market and is expected to dominate during the forecast period with the U.S. contributing most of the revenue.
  • According to a study by Accenture, 86% of telecom executives believe that AI will significantly accelerate technology access and deployment in the industry over the next three years.

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AI (Artificial Intelligence) has been revolutionizing various industries, including the telecommunications sector. In this blog post, we will explore the impact of AI in the telecommunication industry and delve into the statistics that showcase its transformational power. Stay tuned to discover how AI is reshaping the way we communicate and interact in the digital age.

The Latest Ai In The Telecommunication Industry Statistics Explained

By 2027, AI in the telecommunication market is expected to reach USD 14.6 billion, growing at a CAGR of 28.3 % during 2020-2027.

This statistic indicates that the artificial intelligence (AI) sector in the telecommunications industry is predicted to experience substantial growth in the coming years. By the year 2027, the market size for AI in telecommunications is projected to reach USD 14.6 billion. This growth is estimated to happen at a compound annual growth rate (CAGR) of 28.3% over the period from 2020 to 2027. Such rapid expansion demonstrates the increasing importance and utilization of AI technology within the telecommunications sector, likely driven by the need for enhanced customer experiences, improved operational efficiency, and the evolution towards more advanced network infrastructure.

Automated customer service is the most substantial field of AI application in telecommunications, with 80% of telecoms using AI to automate and optimize their services.

The statistic indicates that automated customer service is the predominant area of artificial intelligence (AI) application within the telecommunications industry, with 80% of telecom companies leveraging AI to streamline and enhance their customer services. This widespread adoption of AI in automated customer service signifies its significant impact and benefits for telecom providers, such as increased efficiency, reduced operational costs, and improved customer satisfaction. By utilizing AI technologies, telecoms can automate routine tasks, provide faster responses to customer inquiries, and offer personalized experiences, ultimately leading to more effective service delivery. Overall, this statistic highlights the growing importance of AI in transforming customer service processes within the telecommunications sector.

As of 2020, nearly 67% of telecommunications companies started using machine learning and other AI technologies.

The statistic indicates that the adoption of machine learning and other artificial intelligence (AI) technologies among telecommunications companies has significantly increased, with nearly 67% of such companies implementing these technologies as of 2020. This suggests a growing trend within the industry to leverage AI for various applications such as improving network performance, enhancing customer service, optimizing operations, and developing innovative services. The widespread adoption of machine learning and AI technologies in telecommunications reflects a recognition of the potential benefits these advanced technologies offer in terms of efficiency, competitiveness, and customer experience. This trend also underscores the importance for companies in this sector to stay abreast of technological advancements and embrace digital transformation strategies to remain competitive in the rapidly evolving telecommunications landscape.

The Asia-Pacific AI in telecommunications market accounted for the highest revenue in 2019 with over 29%.

The statistic implies that within the Asia-Pacific region, the market for artificial intelligence (AI) in telecommunications generated the most revenue in 2019 compared to other regions. Specifically, this market segment contributed to over 29% of the total revenue generated from AI applications in the telecommunications industry globally in that year. This indicates the significant role that AI plays in improving operations and services within the telecommunications sector in the Asia-Pacific region, highlighting the region’s advanced adoption and investment in AI technology for improving efficiency, customer experience, and overall performance in the telecommunications industry.

The global predictive maintenance market in the telecom industry is predicted to grow at a 38.9% CAGR by 2025 due to AI advancements.

The statistic ‘The global predictive maintenance market in the telecom industry is predicted to grow at a 38.9% Compound Annual Growth Rate (CAGR) by 2025 due to AI advancements’ indicates a strong projected expansion in the implementation of predictive maintenance solutions within the telecommunications sector. The significant 38.9% CAGR forecast highlights the rapid pace at which this market is expected to grow over the specified time frame, with AI advancements playing a key role in driving this growth. Predictive maintenance leverages data analytics and Artificial Intelligence to predict equipment failures before they occur, thereby enhancing operational efficiency and reducing downtime. As telecom companies increasingly adopt these advanced technologies to optimize their maintenance practices, the market for predictive maintenance solutions is poised for substantial growth by 2025.

Voice recognition makes up 68.7% of the revenue in the global AI market in telecommunication.

The statistic “Voice recognition makes up 68.7% of the revenue in the global AI market in telecommunication” indicates that a significant proportion of the revenue generated in the telecommunication sector within the global artificial intelligence (AI) market is attributed to voice recognition technologies. This suggests that voice recognition technology plays a crucial role in the telecommunication industry, likely due to its widespread adoption in various applications such as virtual assistants, automated customer service systems, and voice-controlled devices. The high revenue share of voice recognition highlights its importance and potential for further growth and innovation within the AI market, especially in the context of enhancing user experience and communication in telecommunication services.

Around 64% of telecom companies aim to use AI to identify cybersecurity threats.

The statistic suggests that a significant majority, around 64%, of telecommunications companies intend to leverage artificial intelligence (AI) technology in order to detect and combat cybersecurity threats within their operations. This indicates a growing recognition within the telecom industry of the potential benefits and effectiveness of AI in enhancing cybersecurity measures. By utilizing AI tools for threat identification, telecom companies can potentially bolster their defenses against evolving cyber threats, improve response times, and enhance overall security posture. This statistic underscores a trend towards the integration of advanced technologies, such as AI, in addressing the complex challenges posed by cybersecurity in the telecommunications sector.

AI’s total global investment across different industries, including telecommunications, is expected to reach $57.6 billion by 2021.

The statistic indicates that artificial intelligence (AI) is projected to attract a substantial level of investment worldwide, totaling $57.6 billion by the year 2021 across various industries such as telecommunications. This suggests a growing recognition of the potential value and impact of AI technology in transforming business processes and improving efficiency across sectors. The substantial investment also reflects the increasing adoption of AI-driven solutions to enhance competitiveness, drive innovation, and meet evolving consumer demands. As AI continues to advance and demonstrate its capabilities, businesses are allocating significant resources to leverage its benefits and stay ahead in the rapidly evolving digital landscape.

By 2035, AI technologies could increase business productivity by up to 40% in the telecommunications industry.

The statistic suggests that by the year 2035, the implementation and utilization of artificial intelligence (AI) technologies have the potential to bring about a significant boost in business productivity within the telecommunications industry. Specifically, it is estimated that AI solutions could lead to an increase of up to 40% in productivity levels for companies operating within this sector. This prediction implies that AI algorithms, automation tools, and other advanced technologies can streamline processes, enhance operational efficiency, and optimize resource utilization within telecommunications businesses, ultimately leading to substantial productivity gains. This projected impact underscores the transformative power of AI in revolutionizing the telecommunications industry and driving substantial improvements in operational performance over the next decade.

As per a study by BCG, commercial applications of AI in telecom are projected to produce up to $1.5 trillion in value by 2030.

This statistic indicates that, according to a study conducted by the Boston Consulting Group (BCG), the implementation of artificial intelligence (AI) in commercial applications within the telecommunications industry is expected to generate significant economic value. The projected value of up to $1.5 trillion by the year 2030 emphasizes the potential impact of AI in driving efficiencies, improving customer service, enhancing network optimization, and enabling innovative solutions within the telecom sector. This forecast highlights AI’s growing importance in transforming and revolutionizing the industry, ultimately leading to substantial financial gains and value creation over the next decade.

Automated Threat Intelligence & Prevention Systems held the largest market share of 29% in the AI in Telecommunication Market in 2017.

The statistic indicates that in 2017, Automated Threat Intelligence & Prevention Systems dominated the AI in Telecommunication Market with a market share of 29%. This suggests that these systems were the most widely adopted technology within the telecommunications industry for addressing cybersecurity threats and preventing potential attacks. The significant market share held by Automated Threat Intelligence & Prevention Systems highlights their importance in helping telecommunication companies enhance their security measures by leveraging artificial intelligence capabilities to identify and respond to security threats in real-time, ultimately safeguarding their networks, data, and operations effectively.

The AI in Telecommunication market was worth approximately 2.51 billion U.S. dollars in 2018.

The statistic indicates that the AI in Telecommunication market had an estimated value of around 2.51 billion U.S. dollars in the year 2018. This figure represents the total revenue generated from the implementation and utilization of artificial intelligence technologies within the telecommunications industry during that particular time period. The value suggests that there was a significant investment and adoption of AI solutions within the telecommunications sector as organizations sought to leverage advanced technologies to improve operational efficiency, enhance customer experiences, and drive innovation. This statistic reflects the growing importance of AI in transforming and shaping the telecommunication industry to meet the evolving demands and challenges of the digital era.

More than 30% of the tasks in 60% of all jobs, including those in the telecommunications sector, could be automated by using AI technologies.

The statistic suggests that a substantial portion of tasks within various job roles, specifically more than 30% of tasks in 60% of all jobs including those in the telecommunications sector, could potentially be automated through the application of artificial intelligence technologies. This indicates a significant potential for AI to streamline operations, boost efficiency, and potentially reshape the nature of work within these industries. The data implies that a considerable number of tasks may no longer require human intervention, leading to potential shifts in job roles and skill requirements as automation continues to advance. Overall, the statistic highlights the transformative impact that AI technologies could have on the workforce, particularly within the telecommunications sector and beyond.

In 2021, 31% of telecoms have started investing in AI for predictive maintenance.

The statistic indicates that in 2021, approximately 31% of telecommunications companies have initiated investments in artificial intelligence technology specifically for predictive maintenance purposes. This suggests that a significant portion of the telecom industry is recognizing and leveraging the potential benefits of AI in improving maintenance processes within their operations. By implementing AI for predictive maintenance, these companies aim to proactively address equipment issues and reduce downtime, ultimately enhancing operational efficiency and potentially reducing costs associated with maintenance. This statistic highlights a growing trend within the industry towards adopting advanced technologies to optimize their infrastructure and services.

The North American region held the largest share in the AI in telecommunication market and is expected to dominate during the forecast period with the U.S. contributing most of the revenue.

The statistic indicates that within the AI in telecommunication market, the North American region currently has the largest market share and is projected to continue dominating in the future. This dominance is primarily driven by the United States, which is expected to contribute the majority of the revenue in this sector. The strong presence of advanced telecommunications infrastructure, significant investments in AI technology, and a thriving tech ecosystem in North America, particularly in the U.S., have all contributed to this market leadership. As a result, companies operating in the AI in telecommunication sector may focus on leveraging opportunities in North America and particularly in the U.S. to maximize their market potential and revenue growth.

According to a study by Accenture, 86% of telecom executives believe that AI will significantly accelerate technology access and deployment in the industry over the next three years.

The statistic that 86% of telecom executives believe that AI will significantly accelerate technology access and deployment in the industry over the next three years, as reported by Accenture, highlights the high level of optimism and confidence among industry leaders regarding the transformative potential of artificial intelligence. This finding suggests that a majority of telecom executives view AI as a crucial driver of progress and innovation, anticipating its ability to revolutionize the sector by expediting the implementation of advanced technologies. The statistic underscores the growing importance of AI in shaping the future of the telecommunications industry and signals a widespread recognition of its capacity to enhance operational efficiency, customer experience, and overall competitiveness within the sector.

References

0. – https://www.zdnet.com

1. – https://www.www.bcg.com

2. – https://www.www.statista.com

3. – https://www.emerj.com

4. – https://www.www.marketdataforecast.com

5. – https://www.www.koreascience.or.kr

6. – https://www.www.researchandmarkets.com

7. – https://www.marketresearchfuture.com

8. – https://www.www.marketstudyreport.com

9. – https://www.enterprisebot.ai

10. – https://www.www.mckinsey.com

11. – https://www.www.mordorintelligence.com

12. – https://www.www.accenture.com

13. – https://www.www.idc.com

14. – https://www.www.globenewswire.com

15. – https://www.www.forbes.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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