AI Research
AI in Telecommunication Market Comprehensive Research Study,
The AI in Telecommunication Market size is estimated to be approximately USD 6.5 billion in 2024 and is anticipated to reach around USD 28.7 billion by 2033, growing at a CAGR of about 17.5% from 2025 to 2033.
AI in Telecommunication Market Overview
The AI in Telecommunication Market is rapidly evolving as telecom operators increasingly adopt AI technologies to enhance network efficiency, optimize customer experience, and drive automation. AI applications such as predictive maintenance, fraud detection, network optimization, and virtual assistants are becoming integral to telecom infrastructure. The growing demand for high-speed data, 5G rollout, and the need for real-time analytics are further accelerating AI adoption in this sector. Additionally, AI helps in reducing operational costs and improving service reliability, making it a critical component for telecom companies striving for competitive advantage. The market is also witnessing significant investments in AI-driven software and solutions tailored specifically for telecommunications. Overall, the integration of AI is reshaping the telecom landscape by enabling smarter, faster, and more responsive networks.
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Advantages of requesting a Sample Copy of the Report:
1) To understand how our report can bring a difference to your business strategy
2) To understand the analysis and growth rate in your region
3) Graphical introduction of global as well as the regional analysis
4) Know the top key players in the market with their revenue analysis
5) SWOT analysis, PEST analysis, and Porter’s five force analysis
The report further explores the key business players along with their in-depth profiling
IBM Corporation, Microsoft Corporation, Google LLC, AT&T Inc., Cisco Systems, Intel Corporation, NVIDIA Corporation, Infosys Limited, Huawei Technologies, and Amazon Web Services (AWS).
AI in Telecommunication Market Segments:
By Component:
• Hardware
• Software
• Services
By Application:
• Network Optimization
• Predictive Maintenance
• Fraud Detection
• Customer Experience Management
• Virtual Assistants & Chatbots
• Security & Threat Intelligence
• Others
By Deployment Mode:
• Cloud-Based
• On-Premises
By Organization Size:
• Small & Medium Enterprises (SMEs)
• Large Enterprises
Report Drivers & Trends Analysis:
The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging AI in Telecommunication Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.
Competitive Landscape Analysis:
In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the AI in Telecommunication Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.
Regional Outlook:
The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.
» North America (U.S., Canada, Mexico)
» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
» South America (Brazil, Argentina, Rest of SA)
» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
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Key Benefits for Stakeholders:
⏩ The study represents a quantitative analysis of the present AI in Telecommunication Market trends, estimations, and dynamics of the market size from 2025 to 2032 to determine the most promising opportunities.
⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.
⏩ In-depth analysis, as well as the market size and segmentation, help you identify current AI in Telecommunication Market opportunities.
⏩ The largest countries in each region are mapped according to their revenue contribution to the market.
⏩ The AI in Telecommunication Market research report gives a thorough analysis of the current status of the AI in Telecommunication Market’s major players.
Key questions answered in the report:
➧ What will the market development pace of the AI in Telecommunication Market?
➧ What are the key factors driving the AI in Telecommunication Market?
➧ Who are the key manufacturers in the market space?
➧ What are the market openings, market hazards,s and market outline of the AI in Telecommunication Market?
➧ What are the sales, revenue, and price analysis of the top manufacturers of the AI in Telecommunication Market?
➧ Who are the distributors, traders, and dealers of AI in Telecommunication Market?
➧ What are the market opportunities and threats faced by the vendors in the AI in Telecommunication Market?
➧ What are deals, income, and value examination by types and utilizations of the AI in Telecommunication Market?
➧ What are deals, income, and value examination by areas of enterprises in the AI in Telecommunication Market?
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Reasons To Buy The AI in Telecommunication Market Report:
➼ In-depth analysis of the market on the global and regional levels.
➼ Major changes in market dynamics and competitive landscape.
➼ Segmentation on the basis of type, application, geography, and others.
➼ Historical and future market research in terms of size, share growth, volume, and sales.
➼ Major changes and assessment in market dynamics and developments.
➼ Emerging key segments and regions
➼ Key business strategies by major market players and their key methods
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This release was published on openPR.
Northumbria University is to provide its students and staff with access to Claude for Education – a leading AI platform specifically tailored for higher education.
Northumbria will become only the second university in the UK, alongside the London School of Economics and other leading international institutions, to offer Claude for Education as a tool to its university community.
With artificial intelligence rapidly transforming many aspects of our lives, Northumbria’s students and staff will now be provided with free access to many of the tools and skills they will need to succeed in the new global AI-environment.
Claude for Education is a next-generation AI assistant built by Anthropic and trained to be safe, accurate and secure. It provides universities with ethical and transparent access to AI that ensures data security and copyright compliance and acts as a 24/7 study partner for students, designed to guide learning and develop critical thinking rather than providing direct answers.
Known as a UK leader in responsible AI-based research and education, Northumbria University recently launched its Centre for Responsible AI and is leading a multi-million pound UKRI AI Centre for Doctoral Training in Citizen-Centred Artificial Intelligence to train the next generation of leaders in AI development.
Professor Graham Wynn explained: “Today’s students are digitally native and recent data show many use AI routinely. They expect their universities to provide a modern, technology-enhanced education, providing access to AI tools along with clear guidance on the responsible use of AI.
“We know that the availability of secure and ethical AI tools is a significant consideration for our applicants and our investment in Claude for Education will position Northumbria as a forward-thinking leader in ethical AI innovation.
“Empowering students and staff, providing cutting-edge learning opportunities, driving social mobility and powering an inclusive economy are at the heart of everything we do. We know how important it is to eliminate digital poverty and provide equitable access to the most powerful AI tools, so our students and graduates are AI literate with the skills they need for the workplaces of the future.
“The introduction of Claude for Education will provide our students and staff with free universal access to cutting-edge AI technology, regardless of their financial circumstances.”
The University is now working with Anthropic to establish the technical infrastructure and training to roll out Claude for Education in autumn 2025.
Wiley has announced plans for a strategic partnership with Anthropic, an artificial intelligence research and development company with an emphasis on responsible AI.
Wiley is adopting the Model Context Protocol (MCP), an open standard created by Anthropic, which aims to enable seamless integration between authoritative, peer-reviewed content and AI tools across multiple platforms. Beginning with a pilot program, and subject to definitive agreement, Wiley and Anthropic will work to ensure university partners have streamlined, enhanced access to their Wiley research content.
Another key focus of the partnership is to establish standards for how AI tools properly integrate scientific journal content into results while providing appropriate context for users, including author attribution and citations.
“The future of research lies in ensuring that high-quality, peer-reviewed content remains central to AI-powered discovery,” said Josh Jarrett, Senior Vice President of AI Growth at Wiley. “Through this partnership, Wiley is not only setting the standard for how academic publishers integrate trusted scientific content with AI platforms but is also creating a scalable solution that other institutions and publishers can adopt. By adopting MCP, we’re demonstrating our commitment to interoperability and helping to ensure authoritative, peer-reviewed research will be discoverable in an increasingly AI-driven landscape.”
The announcement coincides with Anthropic’s broader Claude for Education initiative, which highlights new partnerships and tools designed to amplify teaching, learning, administration and research in higher education.
“We’re excited to partner with Wiley to explore how AI can accelerate and enhance access to scientific research,” said Lauren Collett, who leads Higher Education partnerships at Anthropic. “This collaboration demonstrates our commitment to building AI that amplifies human thinking—enabling students to access peer-reviewed content with Claude, enhancing learning and discovery while maintaining proper citation standards and academic integrity.”
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Tax solutions provider
“The tax compliance industry is at the dawn of unprecedented innovation driven by rapid advancements in AI,” says Danny Fields, executive vice president and chief technology officer of Avalara. “Avalara’s technology mission is to equip customers with reliable, intuitive tools that simplify their work and accelerate business outcomes.”
Avi for Tax, specifically, offers the ability to instantly check the tax status of products and services using plain language queries to receive trusted, clearly articulated responses grounded in Avalara’s tax database. Users can also access real-time official guidance that supports defensible tax positions and enables proactive adaptation to evolving tax regulations, as well as quickly obtain precise sales tax rates tailored to specific street addresses to facilitate compliance accuracy down to local jurisdictional levels. The solution comes with an intuitive conversational interface that allows even those without tax backgrounds to use the tool.
For existing users of Avi Tax Research, the AI solution is available now with no additional setup required. New customers can
The announcement comes shortly after Avalara announced new application programming interfaces for its 1099 and W-9 solutions, allowing companies to embed their compliance workflows into their existing ERP, accounting, e-commerce or marketplace platforms. An API is a type of software bridge that allows two computer systems to directly communicate with each other using a predefined set of definitions and protocols. Any software integration depends on API access to function. Avalara’s API access enables users to directly collect W-9 forms from vendors; validate tax IDs against IRS databases; confirm mailing addresses with the U.S. Postal Service; electronically file 1099 forms with the IRS and states; and deliver recipient copies from one central location. Avalara’s new APIs allow for e-filing of 1099s with the IRS without even creating a FIRE account.
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