Global Generative Artificial Intelligence (AI) In Telecom Market to Reach $4.03 Billion by 2029, Growing at 53.2% CAGR

"What Is the Expected Size and Growth Rate of the Generative Artificial Intelligence (AI) In Telecom Market?
The market size of generative artificial intelligence (AI) in the telecom sector has seen explosive growth in the recent past. The market value, presently at $0.48 billion as of 2024, is projected to surge to $0.73 billion by 2025, demonstrating a compound annual growth rate (CAGR) of 53.5%. This significant growth during the historical period is a result of rising demand for superior customer service, increasing embracement of automation, expansion of over-the-top services, and the increased proliferation of telecom companies.

The market size for generative artificial intelligence (AI) in the telecom sector is projected to witness a remarkable surge in the forthcoming years, growing to $4.03 billion in 2029 with a compound annual growth rate (CAGR) of 53.2% . This significant growth in the projection period can be credited to the rising adoption of chatbots powered by generative AI, expansion of smart city projects, increased digital access, growth in the number of IoT devices, and escalating network requirements. Key trends anticipated during this forecast period involve progressions in AI technologies, inventive telecom solutions, incorporation of avant-garde technologies, advancement in digital transformation and innovation, as well as the integration of edge computing in Internet of Things.

What Factors Are Fueling Growth in the Generative Artificial Intelligence (AI) In Telecom Market?
The growth of generative artificial intelligence in telecom markets is likely to be spurred by the rising quantity of Internet of Things devices. These are interconnected devices with enhanced connectivity, allowing for data exchange and communication over networks. The proliferation of such devices is fueled by technological advancements, dropping costs, and an increased preference for automation and data-guided insights. The application of AI in telecom can augment IoT device connectivity, by boosting network management and anticipating maintenance requirements, subsequently enhancing efficiency and scalability. Ericsson, a telecommunications firm based in Sweden, reported in April 2024 that global IoT connections had hit 15.7 billion in 2023. The report also projected an increase of 16%, leading to 38.8 billion connections by 2029. Thus, the swelling number of IoT devices is a key contributor to the expansion of generative artificial intelligence within the telecom industry.

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Which Leading Companies Are Shaping the Growth of the Generative Artificial Intelligence (AI) In Telecom Market?
Major companies operating in the generative artificial intelligence (AI) in telecom market are Amazon Web Services, Microsoft Corporation, Verizon Communications Inc., AT&T Inc., Deutsche Telekom AG, Huawei Technologies Co. Ltd., International Business Machines Corporation, Vodafone Group Public Limited Company, Telefónica S.A., Nvidia Corporation, Telefonaktiebolaget LM Ericsson, Capgemini SE, NTT DATA, Infosys Limited, Wipro Limited, Amdocs Limited, Ciena Corporation, Netcracker Technology Corporation, UiPath Inc., Gsma Advisory Services Ltd, C3.AI inc, LeewayHertz Technologies Pvt Ltd, Subex Ltd, Alepo Technologies Private Limited, Cresta Intelligence Inc, Xaltius Pte. Ltd., Binmile Technologies Private Limited's, Kanerika

What Are the Major Trends Shaping the Generative Artificial Intelligence (AI) In Telecom Market?
Leading firms involved in generative artificial intelligence in the telecom sector are concentrating their efforts on creating cutting-edge solutions such as GenAI Telco platforms. These platforms, driven by AI, are custom-made for the telecom sector, allowing for process automation, superior network management, and improved customer service. For example, in September 2023, the US information technology company, Netcracker Technology, unveiled the GenAI Telco Solution to expedite the implementation of high-value use cases across the telecom sector. With this solution, communication service providers (CSPs) can securely use their significant telecom data and knowledge to provide excellent benefits to their customers, partners, and their businesses. The GenAI Telco Platform carries features for creating, testing, and fine-tuning telecom-specific scenarios like customer service, business operations, sales, and network management. By pairing with prevalent AI models, this solution lets CSPs boost customer engagement, increase operational proficiency, and realise substantial cost savings, all while adhering to data protection rules.

What Are the Key Segments of the Generative Artificial Intelligence (AI) In Telecom Market?
The generative artificial intelligence (AI) in telecom market covered in this report is segmented -

1) By Type: Text-Based, Image-Based, Voice-Based
2) By Component: Software, Services
3) By Deployment: On-Premises, Cloud-Based, Edge, Hybrid
4) By Application: Network Optimization, Predictive Maintenance, Improve Call Center Operations And Customer Support, Personalized Product Or Service Recommendations, Security And Fraud Detection, marketing And Personalized Product Recommendations, Other Applications

Subsegments:
1) By Text-Based: Chatbots And Virtual Assistants, Automated Customer Support, Sentiment Analysis Tools, Text Summarization And Generation
2) By Image-Based: Visual Quality Inspection, Image Recognition Systems, Augmented Reality (AR) Applications, Facial Recognition Technologies
3) By Voice-Based: Voice Assistants, Speech Recognition Systems, Voice Biometrics For Security, Voice Analysis For Customer Insights

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Which Region Dominates the Generative Artificial Intelligence (AI) In Telecom Market?
North America was the largest region in the generative AI in telecom market in 2024. The regions covered in the generative artificial intelligence (AI) in telecom market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

What Is Covered In The Generative Artificial Intelligence (AI) In Telecom Global Market Report?

- Market Size Analysis: Analyze the Generative Artificial Intelligence (AI) In Telecom Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Generative Artificial Intelligence (AI) In Telecom Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Generative Artificial Intelligence (AI) In Telecom Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Generative Artificial Intelligence (AI) In Telecom Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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