Top Market Shifts Transforming the AI In Telecommunication Market Landscape: Key Insights

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What Is the Expected CAGR for the AI In Telecommunication Market Through 2025?
The market for AI in telecommunications has seen a significant expansion lately. The future predicts a rise from $3.41 billion in 2024 to $4.72 billion in 2025, marked by a compound annual growth rate (CAGR) of 38.3%. The historical growth is believed to be driven by an uptick in network intricacy, heightened customer service demands, a surge in data creation and the need for its analysis, challenges in network security, competition, and the necessity for operational efficiency.

What's the Projected Size of the Global AI In Telecommunication Market by 2029?
In the coming years, the AI in telecommunication market is anticipated to experience substantial expansion. The market is projected to reach $19.2 billion by 2029, with a Compound Annual Growth Rate (CAGR) of 42.0%. This anticipated increase during the forecast period can be attributed to factors such as 5G network expansion, improved customer experience objectives, integration of edge computing, increased cybersecurity concerns, and a heightened need for network automation. The projected period also indicates notable trends such as the use of AI for revenue assurance, optimizing spectrum management using AI, the application of AI in edge computing for instantaneous services, the use of AI in virtual network functions, and 'green' telecommunications utilizing AI.

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Top Growth Drivers in the AI In Telecommunication Industry: What's Accelerating the Market?
The surge in over-the-top (OTT) services is anticipated to fuel the expansion of the AI in telecommunications market. Over-The-Top (OTT) services relate to programs and utilities delivered via the Internet, circumventing traditional distribution channels such as satellite, cable, and broadcast television. In recent years, the appetite for OTT services has skyrocketed as customers progressively veer away from conventional media consumption practices and appreciate the versatility and accessibility of streaming content online. As OTT services' popularity increases, telecommunications suppliers are ensuring their networks can accommodate the heightened traffic. For example, WebFX, a tech-centered digital marketing solutions provider based in the US, reported in August 2022 that 85% of American millennials subscribe to at least one OTT video platform, and 70% of consumers watch more than three hours of mobile OTT video content every day. Furthermore, by 2027, over 3.5 million active OTT AVOD users are predicted, and Netflix is expected to have 221 million active subscribers globally, positioning it as the leading OTT service. Hence, the ascendance of over-the-top (OTT) services is steering the advancement of the AI in telecommunications market.

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What Trends Will Shape the AI In Telecommunication Market Through 2029 and Beyond?
Leading businesses within the AI in telecommunications sector are making strides in technological advancements to bolster data security, ensure regulatory conformity, enhance operational productivity, and promote accountable usage of AI technologies across their networks. They are adopting technical controls - security measures grounded in technology - meant to protect data and information systems from potential threats through tools such as firewalls, encryption, and access restrictions. For example, the GSM Association (GSMA), a trade group headquartered in the UK, unveiled the Responsible AI (RAI) Maturity Roadmap for the telecommunications industry in September 2024. This roadmap offers telecom operators a structured approach to assess and optimize their use of AI responsibly, with tools for measuring present maturity against strategic objectives and guidelines for introducing best practices. The roadmap lays emphasis on five key areas: corporate vision, governance of AI, regulatory compliance through technical controls, cooperative efforts with third parties, and effective change management. By underscoring principles like fairness, human supervision, privacy, transparency, and sustainability, the roadmap casts the telecommunications sector as a pioneer in the ethical implementation of AI.

What Are the Main Segments in the AI In Telecommunication Market?
The ai in telecommunicationmarket covered in this report is segmented -

1) By Component: Solution, Service
2) By Technology: Machine Learning, Natural Language Processing (NLP), Data Analytics, Other Technologies
3) By Deployment Model: On-Premise, Cloud
4) By Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications

Subsegments:
1) By Solutions: Network Optimization, Network Security, Customer Analytics, Virtual Assistants, Predictive Maintenance
2) By Services: Professional Services, Managed Services

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Which Top Companies are Driving Growth in the AI In Telecommunication Market?
Major companies operating in the AI in telecommunication market include Intel Corporation, Nuance Communications Inc., Infosys Limited., ZTE Corporation, IBM Corporation, Google LLC, Microsoft Corporation, Salesforce Inc., Cisco Systems Inc., NVIDIA Corporation, Evolv Technology Solutions Inc., AI Incorporated, Sentient Technologies LLC, Comcast Corporation, Verizon Communications Inc., Windstream Holdings Inc., Nokia Corporation, Amazon Web Services Inc., Tech Mahindra Limited, Huawei Technologies Canada Co. Ltd., Samsung Electronics Co. Ltd., Orange Business, Deutsche Telekom AG, Telefonaktiebolaget LM Ericsson, China Mobile Limited, China Telecom Corporation Limited, China Unicom (Hong Kong) Limited, Vodafone Group Plc, BT Group plc

Which Regions Will Dominate the AI In Telecommunication Market Through 2029?
North America was the largest region in the AI in telecommunication market in 2024.Asia-Pacific is expected to be the fastest-growing region in the global AI in telecommunication market report during the forecast period. The regions covered in the AI in telecommunication market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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