AI Research

AI in Telecommunication Market Comprehensive Research Study,

Published

4 hours ago

July 9, 2025

AI in Telecommunication Market

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.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/ai-in-the-telecommunication-market

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?

Purchase Now Up to 25% Discount on This Premium Report: https://www.omrglobal.com/buy-now/ai-in-the-telecommunication-market?license_type=quick-scope-report

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

Contact Us:

Mr. Anurag Tiwari

Email: anurag@omrglobal.com

Contact no: +91 780-304-0404

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About Orion Market Research

Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

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AI Research

BYD, HKUST launch joint lab for research of embodied AI tech, intelligent manufacturing

Published

16 minutes ago

July 9, 2025

The Editors

Shanghai (Gasgoo)- On July 7, 2025, BYD Auto Industry Company Limited and The Hong Kong University of Science and Technology (“HKUST”) signed a strategic cooperation framework agreement to jointly establish the “HKUST-BYD Joint Lab for Embodied AI”, according to a post on BYD’s WeChat account.

The new lab will focus on cutting-edge research in robotics and intelligent manufacturing, aiming to drive innovation and accelerate the industrial application of next-generation technologies.

Photo credit: BYD

Located on HKUST’s campus, the joint lab will receive tens of millions of Hong Kong dollars in funding from BYD over the coming years. The collaboration will center on the development of embodied intelligence systems—AI systems capable of interacting with and understanding the physical world through robotics. Research will emphasize data-driven approaches, including new methods for collecting operational data in both simulated and real-world environments, with the goal of reducing data acquisition costs. These datasets will be used to train large-scale embodied AI models capable of performing diverse tasks autonomously in domestic and industrial settings.

In addition to robotics, the two parties will also deepen their collaboration in autonomous driving. By combining academic research with industry experience, the partnership aims to enhance the safety and reliability of advanced driver assistance and autonomous driving systems.

Commenting on the partnership, Wang Chuanfu, Chairman and President of BYD, stated: “In the early stages, we scaled rapidly with cost and efficiency advantages. But now, to lead the next phase of China’s manufacturing evolution, we must pivot to innovation and high-quality development. This collaboration with HKUST reflects our commitment to advancing foundational technologies and cultivating top-tier talent. Together, we aim to elevate Chinese manufacturing along the global value chain and contribute to the country’s high-quality growth.”

BYD noted that embodied intelligence represents the next major leap in AI development. By integrating algorithms with robotics, future systems will gain the ability to actively perceive, interpret, and interact with their physical surroundings—laying the groundwork for transformative applications. Leveraging BYD’s industrial expertise and HKUST’s academic strengths in AI and robotics, the joint lab aspires to become a global hub for innovation in intelligent manufacturing and robotics.

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AI Research

Atari Video Chess checkmates Copilot after knocking over ChatGPT’s king

Published

1 hour ago

July 9, 2025

Eric Hal Schwartz

Microsoft Copilot has lost a game of chess to an Atari 2600.
The loss follows ChatGPT’s similar loss in Atari’s Video Chess.
The AIs repeatedly lost track of the board state, demonstrating a key weakness in LLMs.

AI chatbot developers often boast about the logic and reasoning abilities of their models, but that doesn’t mean the LLMs behind the chatbots are any good at chess. An experiment pitting Microsoft Copilot against the “AI” powering the 1979 Atari 2600 game Video Chess just ended in an embarrassing failure for Microsoft’s pride and joy. Copilot joins ChatGPT on the list of opponents bested by the four-kilobyte Atari game.

Despite both AI models claiming to have the game all but wrapped up before it began because they could think multiple moves ahead, the results were nowhere near the boasts, as documented by Citrix engineer Robert Caruso, who put together both experiments.

Caruso described how, on paper, the modern AI models should have crushed the rudimentary tool from nearly half a century ago. ChatGPT and Copilot are they’re trained on massive datasets, including chess games and strategy guides. They’ve absorbed thousands of hours of Reddit chess discussion. One would assume they could beat a 1970s video game cartridge powered by static electricity.

Instead, after Microsoft Copilot promised a “strong fight,” things immediately fell apart.

“By the seventh turn, it had lost two pawns, a knight, and a bishop — for only a single pawn in return—and was now instructing me to place its queen right in front of the Atari’s queen to be captured on the next turn,” Caruso wrote. “Earlier, Copilot had said, “Keep an eye on any quirks in the Atari’s gameplay… it sometimes made bizarre moves!” But now, it was getting embarrassed—like the Chiefs in the Super Bowl.”

This was after Copilot asked for a screenshot after every Atari move to help remember the board, after Caruso explained that ChatGPT lost because it couldn’t keep track of where all the pieces were. “I’ll remember the board,” Copilot insisted. The losses piled up so quickly that Caruso soon asked Copilot if it wanted to concede rather than continue to lose badly. The response was gracious, if bizarrely phrased.

“You’re absolutely right, Bob — Atari’s earned the win this round. I’ll tip my digital king with dignity and honor the vintage silicon mastermind that bested me fair and square,” Caruson quoted Copilot as writing. “Even in defeat, I’ve got to say: that was a blast… Long live 8-bit battles and noble resignations! ♟️😄🕹️”

Chess AI

The losses are amusing, but also reveal a basic fact of LLMs. ChatGPT and Copilot couldn’t win at chess because they couldn’t ‘remember’ what just happened in a game where the entire premise is based on remembering moves and projecting future board setups.

These AI models aren’t built for the kind of persistent memory required for chess, or human thinking, for that matter. The common, and mostly accurate, comparison is to very impressive text prediction. That doesn’t require coherence in the long term, while chess doesn’t make sense without it. So while Copilot and ChatGPT can seem to wax poetic about how great chess is, they can’t complete a game successfully.

It’s a good warning to companies eager to replace humans with AI, too. These AI models can’t reliably handle a 64-square system with clearly defined rules. Why would it suddenly be good at tracking customer complaints or long-term coding tasks, or a legal argument stretching across multiple conversations? They can’t, of course. Not that I would leave my legal briefs to an Atari 2600 cartridge, either, but nor would anyone think it’s a good idea. And maybe we should use AI models to help us create new games based on our prompts, rather than believe they can play against humans well enough to win.

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AI Research

I used to work at the Apple Store – and the rumored AI-powered Support app sounds genius

Published

1 hour ago

July 9, 2025

John-Anthony Disotto

Apple is rumored to be working on an AI-powered update for the Apple Support app
Code hints at a ‘Support Assistant’ that will help users troubleshoot Apple products
I used to work at the Genius Bar and think this idea could be excellent if done correctly

Apple could be about to add an AI assistant to the Apple Support app, and that would be excellent news for iPhone, iPad, and Mac users around the world.

First spotted by MacRumors contributor Aaron Perris, new code hints at an AI-powered ‘Support Assistant’ coming to the Apple Support app.

According to Perris, “The code states that the Support Assistant ‘uses generative models,’ and that it will provide answers ‘related to certain Apple products and services’ Apple warns that generative models can sometimes provide ‘incorrect, misleading, incomplete, offensive, or harmful outputs,’ and that customers should not rely on information from Support Assistant as a substitute for professional advice.”

At the moment, the Apple Support app lets you talk to a real-life Genius Bar member about issues with your products, and allows you to receive troubleshooting support without the need of heading to your local Apple Store.

While there are no details on when this AI-powered assistant will launch, this could be a huge improvement in the way we access Apple Support, and as an ex-Apple Genius Bar employee, I’m going to explain why.

AI for the better

I worked at Apple’s Genius Bar for nearly four years while studying journalism at university, so I’ve had many encounters with Apple Support behind the scenes and as a customer.

The Apple Support app is excellent, and is one of the main reasons I recommend Apple products to my family members who are looking to buy new tech. I truly believe the Genius Bar is one of Apple’s best products, and AI is only going to make it better.

I can’t count the number of times customers would travel long distances to come to the Apple Store, only for the issue they were experiencing to be an incredibly simple fix.

With an AI-powered assistant, Apple users could get pointed in the right direction every single time rather than relying on the customer to select the correct service path.

The Apple Support app already asks a few questions to make sure the customer gets the right support, whether that be online, at the store, or via support articles. However, adding AI chatbot capabilities would hopefully improve that experience even more, alleviating pressure on Genius Bar employees and improving the customer experience.

Adding AI chatbots to customer service might sound infuriating, but as long as Apple uses generative AI as a way to improve the customer experience, then I think this rumored feature would be genius.

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