Artificial Intelligence in Telecommunication Market

Artificial Intelligence in Telecommunication Market Overview (2023 to 2033)

The global artificial intelligence in telecommunication market size is projected to be valued at USD 1,180.9 million in 2023 and is anticipated to reach USD 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)	USD 1,180.9 million
Artificial Intelligence in Telecommunication Market Value (2033)	USD 14,496 million

Key Artificial Intelligence in Telecommunication Market Dynamics

• The adoption of artificial intelligence in telecommunication is growing as telecom companies use AI in many aspects of their operations, including enhancing customer satisfaction and network stability.
• The demand for artificial intelligence in telecommunication is projected to rise as AI is primarily used in customer service applications by telecom firms.
• The use of chatbots and virtual assistants to handle a huge volume of installation, maintenance, and troubleshooting support queries are some of the key trends in artificial intelligence in the telecommunication market.
• Governments all over the world are accelerating the rollout of 5G as they recognize how important it is for digital transformation and demand to drive automation and artificial intelligence in the telecommunication market.
• The Internet of Things (IoT), which is powered by edge computing and AI, and digital transformation are likely to be fueled by fifth-generation technologies across the wireless communication industry. Also, the adoption of artificial intelligence in telecommunication is probably driven by rising consumer demand for better services and a smooth customer experience.
• Growing 5G rollouts are probably going to open up significant growth opportunities for telecom operators to provide corporations with process automation services powered by edge computing and AI as well as outsourced IT services are expected to propel the market growth.

The Challenges in the Artificial Intelligence in Telecommunication Market

• Artificial intelligence (AI) is a relatively new technology. With a scarcity of local expertise, assembling an in-house team might be time-consuming and unproductive.
• Implementing an AI system in the absence of relevant data is a futile task. Many telecommunication organizations struggle with data collection due to a variety of challenges.
• One of the most typical reasons that AI integration efforts fail is due to outdated legacy systems. Before embarking on such a project, it is crucial to ensure that the IT infrastructure is prepared to handle it.

Segmentation Outlook for the Artificial Intelligence in Telecommunication Market

Lead Segment of the Artificial Intelligence in Telecommunication Market by Application

The customer analytics category is likely to have a significant market share with a valuation of USD 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-wise Insights

Region/Country	North America
Key Growth Factors	Region's status as an early adopter of modern technology. An increasing number of telecom companies use automation and artificial intelligence for customer service and network efficiency.
Key Statistic	Projected to account for the second largest share with a value of USD 2,100 million by 2033.

Region/Country	Europe
Key Growth Factors	Telecom operators have been spotted prioritizing investments to make better data-informed judgments according to a report issued in February 2022 by the European Telecommunication Network Operators' Association (ETNO). Recorded its largest investment in 5G and Fiber to the Home (FTTH) networks in 2020, with capital expenditure (Capex) of around 72.21 billion.
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	The area has emerged as a trailblazer in sophisticated networking, with Qatar, Saudi Arabia, Bahrain, and the UAE developing 5G networks. Middle Eastern telecom key players Zain Group, STC Group, Etisalat Group, du, and Mobily agreed to work together in July 2021 to adopt Open Radio Access Network (Open RAN) technologies on their existing networks.
Key Statistic	Anticipated to be valued at USD 500 million and expanded at a significant CAGR of 32% from 2023 to 2033.

Competition Landscape of Artificial Intelligence in Telecommunication Market

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,

• Vodafone Ltd. struck an outsourcing agreement with IBM Corp. in May 2019. This collaboration is expected to give the former company a hybrid cloud-based digital platform to improve customer engagement and corporate efficiency.

The Start-up Ecosystem in the Artificial Intelligence in Telecommunication Market

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,

• Cujo.ai has a one-of-a-kind product called Sentry, which can handle massive datasets in seconds. This AI system has advanced to the point where it can determine whether or not there is a security issue. These systems are highly trained with real-world data, allowing them to detect and respond to unauthorized network behaviors.

Recent Developments in the Artificial Intelligence in Telecommunication Market

• Google teamed with AT&T Intellectual Property in March 2020 to assist organizations to harness Google Cloud's technology leveraging 5G network connectivity. Both firms are creating 5G solutions by merging AT&T Intellectual Property's 5G network capabilities and Google Cloud's strengths in analytics, AI/machine learning, and networking.
• Nokia released AVA Telco AI as a Service in May 2021, which offers cloud-based artificial intelligence solutions that enables communication service providers (CSP) to automate capacity planning, network management, and service assurance.
• In June 2019, Vodafone Group launched 'TOBi,' a machine-learning chatbot that allows human customer service representatives to focus on difficult situations.
• The Telecom Regulatory Authority of India (TRAI) issued suggestions on the implementation of artificial intelligence and big data in the telecommunications industry in July 2023. Among the important points addressed in these proposals are the establishment of an AI regulator and a broader scope for TRAI's participation in spam control.
• Alepo announced TelcoBot.ai, a generative AI chatbot solution specifically built for telecom operators to optimize productivity, boost customer assistance and engagement, collect important consumer insights, and prioritize data protection, in August 2023.

Report Scope

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)	USD 1,180.9 million
Artificial Intelligence in Telecommunication Market Value (2033)	USD 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

Table of Content

• 1. Executive Summary
• 2. Market Overview
• 3. Market Background
• 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
• 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution
  • 5.1. AI Platform
  • 5.2. Services
    • 5.2.1. Professional Services
    • 5.2.2. Managed Services
• 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
  • 6.1. Cloud-based
  • 6.2. On-premises
• 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
  • 7.1. Network Security
  • 7.2. Network Optimization
  • 7.3. Customer Analytics
  • 7.4. Virtual Assistance
  • 7.5. Other Applications
• 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
  • 8.1. North America
  • 8.2. Latin America
  • 8.3. Western Europe
  • 8.4. Eastern Europe
  • 8.5. South Asia and Pacific
  • 8.6. East Asia
  • 8.7. Middle East and Africa
• 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
• 16. Key Countries Market Analysis
• 17. Market Structure Analysis
• 18. Competition Analysis
  • 18.1. IBM Corporation
  • 18.2. Microsoft
  • 18.3. Intel Corporation
  • 18.4. Google
  • 18.5. AT&T Intellectual Property
  • 18.6. Cisco Systems
  • 18.7. Nuance Communications, Inc.
  • 18.8. Evolv Technology Solutions, Inc.
  • 18.9. H2O.ai
  • 18.10. Infosys Limited
  • 18.11. Salesforce.com, Inc.
  • 18.12. NVIDIA Corporation
• 19. Assumptions & Acronyms Used
• 20. Research Methodology