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Generative Artificial Intelligence (AI) in Telecom Market

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Dublin, July 21, 2025 (GLOBE NEWSWIRE) — The “Generative Artificial Intelligence (AI) in Telecom Market Opportunities and Strategies to 2034” report has been added to ResearchAndMarkets.com’s offering.

This report describes and explains the generative artificial intelligence (AI) in telecom market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.

The global generative artificial intelligence (AI) in telecom market reached a value of nearly $477.15 million in 2024, having grown at a compound annual growth rate (CAGR) of 49.87% since 2019. The market is expected to grow from $477.15 million in 2024 to $3.76 billion in 2029 at a rate of 51.15%. The market is then expected to grow at a CAGR of 50.44% from 2029 and reach $29.0 billion in 2034.

Growth in the historic period resulted from the increasing digital penetration, expansion to rural area, development of smart cities and fraud detection and prevention in telecom. Factors that negatively affected growth in the historic period was lack of skilled professionals in AI. Going forward, the increase in deployment of 5G, increase in cloud computing, demand of IoT and connected devices and the increasing government initiative will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in telecom market in the future include high implementation costs and cybersecurity threats.

North America was the largest region in the generative artificial intelligence (AI) in telecom market, accounting for 47.13% or $224.89 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative artificial intelligence (AI) in telecom market will be Asia-Pacific and Middle East where growth will be at CAGRs of 61.94% and 57.92% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 55.78% and 54.44% respectively.

The global generative artificial intelligence (AI) in telecom markets is fairly fragmented, with large number of players operating in the market. The top 10 competitors in the market made up 16.43% of the total market in 2023. International Business Machines Corporation (IBM) was the largest competitor with a 2.62% share of the market, followed by Microsoft Corporation with 2.41%, Alphabet (Google LLC) with 2.14%, Amazon.com Inc. with 1.90%, Nokia Corporation with 1.50%, Telefonaktiebolaget LM Ericsson with 1.35%, Intel Corporation with 1.26%, Infosys Limited with 1.11%, Capgemini SE with 1.10% and Amdocs Limited with 1.05%.

The generative artificial intelligence (AI) in telecom market is segmented by type into text-based, image-based and voice-based. The text-based market was the largest segment of the generative artificial intelligence (AI) in telecom market segmented by type, accounting for 43.18% or $206.03 million of the total in 2024. Going forward, the voice-based segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in telecom market segmented by type, at a CAGR of 58.50% during 2024-2029.

The generative artificial intelligence (AI) in telecom market is segmented by component into software and services. The software market was the largest segment of the generative artificial intelligence (AI) in telecom market segmented by component, accounting for 70.30% or $335.45 million of the total in 2024. Going forward, the software segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in telecom market segmented by component, at a CAGR of 52.60% during 2024-2029.

The generative artificial intelligence (AI) in telecom market is segmented by deployment into on-premises, cloud-based, edge and hybrid models. The on-premises market was the largest segment of the generative artificial intelligence (AI) in telecom market segmented by component, accounting for 46.05% or $219.73 million of the total in 2024. Going forward, the edge segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in telecom market segmented by component, at a CAGR of 62.71% during 2024-2029.

The generative artificial intelligence (AI) in telecom market is segmented by application into network optimization, predictive maintenance, improved call center operations and customer support, personalized product or service recommendations, security and fraud detection, marketing and personalized product recommendations and other applications. The network optimization market was the largest segment of the generative artificial intelligence (AI) in telecom market segmented by application, accounting for 24.10% or $114.99 million of the total in 2024. Going forward, the security and fraud detection segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in telecom market segmented by application, at a CAGR of 58.89% during 2024-2029.

The top opportunities in the generative artificial intelligence (AI) in telecom markets segmented by type will arise in the text-based segment, which will gain $1.22 billion of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in telecom markets segmented by component will arise in the software segment, which will gain $2.44 billion of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in telecom markets segmented by deployment will arise in the cloud-based segment, which will gain $1.07 billion of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in telecom markets segmented by application will arise in the network optimization segment, which will gain $722.3 million of global annual sales by 2029. The generative artificial intelligence (AI) in telecom market size will gain the most in the USA at $1.12 billion.

Market-trend-based strategies for the generative artificial intelligence (AI) in telecom market include focus on adopting strategic partnerships approach to develop advanced telecom solutions, focus on developing innovative business support system (BSS) platforms to enhance customer engagement and operational efficiency, focus on prioritizing the development of AI models tailored for network automation, predictive maintenance, customer service optimization and revenue management, focus on strategic investments for developing advanced AI models, expanding cloud-based solutions and integrating AI into telecom infrastructure to drive efficiency and innovation, focus on developing innovative generative artificial intelligence suites to enhance customer experience, automate network management and optimize operations and focus on prioritizing the development of advanced technological solutions like GenAI Telco platforms to improve customer experience and optimize network performance.

Player-adopted strategies in the generative artificial intelligence (AI) in telecom market include focus on expanding business capabilities through partnership to expand its operational capabilities and expanding manufacturing capabilities through innovative launch.

To take advantage of the opportunities, the analyst recommends the generative artificial intelligence (AI) in telecom focus on enhancing bss platforms with advanced ai integration, focus on developing tailored ai models for telecom operations, focus on strategic investments and infrastructure integration to accelerate growth, focus on developing comprehensive generative ai solutions to enhance efficiency and customer experience, focus on developing genai telco platforms to enhance customer experience and operational efficiency, expand in emerging markets, continue to focus on developed markets, focus on tiered pricing models and value-based monetization, focus on strategic content partnerships and educational outreach, focus on event-driven marketing and thought leadership positioning, focus on developing targeted solutions for telecom end-users.

Major Market Trends

  • Strategic Partnerships Driving Generative AI Advancements in Telecom
  • Advancing Telecom Efficiency Through AI-Integrated BSS Platforms
  • Innovative Telecom-Specific AI Models for Network Efficiency
  • AI Investments Fueling Next-Gen Telecom Innovations
  • Revolutionizing Network Management With Generative AI Suites
  • Enhancing Telecom Operations and Sales With AI-Driven Innovation

Key Mergers and Acquisitions

  • KDDI Corporation Acquired Elyza Inc.

Markets Covered:

  • Type: Text-Based; Image-Based; Voice-Based
  • Component: Software; Services
  • Deployment: on-Premises; Cloud-Based; Edge; Hybrid
  • Application: Network Optimization; Predictive Maintenance; Improved Call Center Operations and Customer Support; Personalized Product Or Service Recommendations; Security and Fraud Detection; Marketing and Personalized Product Recommendations; Other Applications

Key Attributes:

Report Attribute Details
No. of Pages 349
Forecast Period 2024 – 2034
Estimated Market Value (USD) in 2024 $477.2 Million
Forecasted Market Value (USD) by 2034 $29000 Million
Compound Annual Growth Rate 50.8%
Regions Covered Global

Companies Featured

  • International Business Machines Corporation (IBM)
  • Microsoft Corporation
  • Alphabet (Google LLC)
  • Amazon.com Inc.
  • Nokia Corporation
  • Telefonaktiebolaget LM Ericsson
  • Intel Corporation
  • Infosys Limited
  • Capgemini SE
  • Amdocs Limited
  • Subex
  • Indosat Ooredoo Hutchison
  • Telkom Indonesia
  • Optus
  • TPG Telecom
  • Macquarie Telecom Group
  • Tata Communications
  • China Telecom
  • China Mobile
  • Baidu
  • Tencent
  • Huawei
  • China Unicom
  • Alibaba Group
  • Nippon Telegraph and Telephone Corporation (NTT)
  • GMO Internet Group
  • SAKURA Internet Inc
  • Highreso
  • SK Telecom
  • LG Uplus
  • Naver Corporation
  • Daewoo Information Systems
  • Bouygues Telecom
  • Deutsche Telekom
  • Tietoevry
  • SparkOptimus
  • EY
  • Iliad S.A
  • Telefonica S.A
  • Telecom Italia (TIM)
  • BT Group plc
  • Vodafone Group plc
  • Telekom Romania Mobile
  • STX Next
  • Deviniti
  • Esperanto Technologies
  • 10Clouds
  • Coherent Solutions
  • Alltegrio
  • Altom
  • Optiva Inc.
  • Rogers Communications
  • Telus Communications
  • Videotron
  • SaskTel
  • Cogeco
  • OpenAI
  • Anthropic
  • Hugging Face
  • Meta
  • Synthesia
  • Accenture
  • Deloitte
  • Netcracker Technology
  • Transaction Network Services (TNS)
  • Amdocs Limited
  • Aira Technologies Inc
  • Brasil TecPar
  • HatchWorks
  • Dualboot Partners
  • Azumo
  • Huawei Technologies Co
  • e& Group
  • Mobcoder
  • Amdocs
  • Aristek Systems
  • Suffescom Solutions Inc
  • Orange
  • MTN
  • Cassava Technologies
  • Safaricom

For more information about this report visit https://www.researchandmarkets.com/r/n8sxja

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.



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Metal Gear Solid back with remake years after Kojima left Konami

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3 hours ago

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August 31, 2025

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Tom GerkenTechnology reporter

Konami A video game character rendered in modern, high-quality graphics. She has long dirty blonde hair and blue eyes. She is wearing a jacket and has goggles hanging around her neck.Konami

EVA, one of the main characters in the remade game (image brightened from source)

Metal Gear is one of the best-selling video game series in history, shifting more than 60 million copies.

The series pioneered cinematics in gaming by blending cutting-edge cutscenes, voice acting and dynamic camera angles to create something that would have looked more at home on the big screen at the time.

Metal Gear tackled themes not commonly seen in games, such as nuclear disarmament and child soldiers, and posed philosophical questions while also leveraging offbeat humour.

The games would often break the fourth wall and ask players to find solutions to puzzles in unusual ways – such as looking on the back cover of the game’s physical box.

The series’ significant place in gaming history meant fans were stunned when its creator Hideo Kojima quit game publisher Konami in an acrimonious split in 2015.

One of gaming’s biggest titles was left directionless – and there’s been no game in the best-selling series since.

But now, a decade later, Konami has released a remake of the third game in the series: Metal Gear Solid Delta.

So what happened between Konami and Kojima, and how does the new game hold up without its original creator?

Why did Kojima leave Konami?

“The impact Metal Gear has had on game-making makes it one of the most heralded entertainment franchises in the world, and made Hideo Kojima one of the industry’s most famous creators,” industry expert Christopher Dring told the BBC.

With such success, you might think it was a match made in heaven, but there were issues bubbling under the surface.

While nothing has been said publicly, one generally accepted theory behind the split relates to the spiralling cost of 2015’s Metal Gear Solid V, estimated by some at more than $80m (£59m) – a very significant development cost at the time.

It is not known exactly what happened between Konami and Kojima, but the studio was clearly fed up with the amount of money he was spending to make a single game – with Kojima’s internal studio actually removed from promotional materials for Metal Gear Solid V at the time.

Konami got the game out the door, but it seemed to be scaled back from its original vision despite the high cost, with repeated levels and a third chapter that never emerged.

Even so, the game still received excellent reviews and won several awards, but the rift between company and creator seemed unfixable.

And in an act that proved highly controversial – and perhaps shows how heated things had become behind the scenes – when Metal Gear Solid V won an award, Konami informed the developer he was not allowed to collect it.

Getty Images Hideo Kojima. He has black hair in a short cut and wears large black glasses. He is smiling while he talks at a conference. He is wearing a trim black jacket and black t-shirt.Getty Images

Hideo Kojima has become one of the most famous names in gaming over the past three decades

A few months later, Kojima was gone, and in the years that followed, his former studio pivoted.

“Konami shifted its strategy for a while, away from console games, and focused its efforts on the amusements markets, things like pachinko machines,” Mr Dring said.

“They also focused increasingly on mobile.”

It meant Konami’s other classic franchises like Castlevania and Silent Hill also went without new games for a decade.

Meanwhile, Kojima’s new studio signed a blockbuster deal with Sony to develop the monster hit Death Stranding for PlayStation, followed by a sequel this year.

Why a remake now?

Gaming has pivoted towards remakes in recent years.

High-profile games like Resident Evil 4, Final Fantasy VII and Demon’s Souls, all classics in their day, have been remade with the benefits of modern graphics and game design to big fanfare – and strong sales figures.

“It’s a hugely lucrative and growing sector,” said Mr Dring.

“The industry is getting older, gamers are entering middle age and are nostalgic for classic titles.

Mr Drings points out that one of the best-selling games of the year so far is Elder Scrolls V: Oblivion Remastered, a remake of a classic Role-Playing Game (RPG) from 2007, selling millions of copies since its release in April.

Konami has begun a return to publishing games by focusing in this area, with a Silent Hill remake coming last year and a new Survival Kids game released earlier in 2025.

So it is a potentially lucrative move – but is Metal Gear Solid 3: Snake Eater the right game to remake?

Konami A jungle scene from a video game. It is instantly recognisable as an older video game, with blocky rocks and pixel-y trees.Konami

A jungle scene from Metal Gear Solid 3’s original release in 2004. Believe it or not, these were considered ground-breaking graphics at the time

Fans of the series told the BBC Metal Gear Solid 3 was chosen for good reason.

YouTuber Zak Ras said there was “immense significance” behind the game.

“Most people will say their favourite entry to the series is either Metal Gear Solid 1 or 3,” he said.

“Story-wise, given that it’s the first prequel set at the very beginning of the series timeline, it’s one of the few entries you can go into completely blind with absolutely no required knowledge of the series, other than very first Metal Gear from 1987.”

Ras said Metal Gear Solid 3 struck a good balance between gameplay and cinematic storytelling, making it a good choice for people who have never played a game in the series before.

For example, the game opens with an introduction heavily influenced by James Bond films, meaning new fans are eased into the series’ weirder elements.

And the brothers behind PythonSelkan Studios – known as Python & Selkan to their 122,000 YouTube subscribers – agreed.

“Completing the game was an incredible experience in itself,” they said. “Snake Eater’s gut-wrenching ending is what stood out most, leaving an impact on us that no other game had ever left before.”

“This game holds a special place in our hearts,” they added.

Metal Gear without Kojima

The brothers said, as lifelong fans of the series, they were “incredibly excited” by the announcement.

The pair are currently playing the remake, and have been “very impressed” by its improved graphics and audio.

They described the game as a “truly a faithful recreation”, adding that it improved “the essence of the original without changing its fundamental structure”.

Konami A jungle scene rendered in a video game. In the foreground, photo-realistic plants grow in front of a large tree. Several trees in the background are broken up by a beam of light.Konami

The game’s lush jungle setting has benefitted from two decades of improvements in graphical fidelity

So far so good for Metal Gear Solid without Hideo Kojima – which Ras put down to the game being true to the original.

One example he highlights is that the voice performances have been kept the same, and players can choose whether to use the original control scheme or a more modern take.

“There’s no doubt it is Kojima’s directorial ‘genes’ that are being dominantly expressed here,” he said.

“Kojima expressed a desire to move on from Metal Gear since as early as MGS2 and leave the series in the hands of others to continue.

“It may have taken him another 14 years and five director credits for that to happen, but it is now reality.”

And however the remake fares with fans, one household won’t be picking up a new copy – Kojima himself has laughed off the suggestion that he would play the new game.

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Bitcoin Proxy’s Chief Seeks Funding Fix as ‘Flywheel’ Falters

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August 30, 2025

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Simon Gerovich, who turned a struggling Japanese hotelier into a Bitcoin stockpiler and investor darling, is feeling the heat.



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Anthropic Settles Landmark Artificial Intelligence Copyright Case

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5 hours ago

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August 30, 2025

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Anthropic’s settlement came after a mixed ruling on the “fair use” where it potentially faced massive piracy damages for downloading millions of books illegally. The settlement seems to clarify an important principle: how AI companies acquire data matters as much as what they do with it.

After warning both the district court and an appeals court that the potential pursuit of hundreds of billions of dollars in statutory damages created a “death knell” situation that would force an unfair settlement, Anthropic has settled its closely watched copyright lawsuit with authors whose books were allegedly pirated for use in Anthropic’s training data. Anthropic’s settlement this week in a landmark copyright case may signal how the industry will navigate the dozens of similar lawsuits pending nationwide. While settlement details remain confidential pending court approval, the timing reveals essential lessons for AI development and intellectual property law.

The settlement follows Judge William Alsup’s nuanced ruling that using copyrighted materials to train AI models constitutes transformative fair use (essentially, using copyrighted material in a new way that doesn’t compete with the original) — a victory for AI developers. The court held that AI models are “like any reader aspiring to be a writer” who trains upon works “not to race ahead and replicate or supplant them — but to turn a hard corner and create something different.”

(For readers unfamiliar with copyright law, “fair use” is a legal doctrine that allows limited use of copyrighted material without permission for purposes like criticism, comment, or — as courts are now determining — AI training. A key test is whether the new use “transforms” the original work by adding something new or serving a different purpose, rather than simply copying it. Think of it as the difference between a critic quoting a novel to review it versus someone photocopying the entire book to avoid buying it.)

After ruling in Anthropic’s favor on this issue, Judge Alsup drew a bright line at acquisition methods. Anthropic’s downloading of over seven million books from pirate sites like LibGen constituted infringement, the judge ruled, rejecting Anthropic’s “research purpose” defense: “You can’t just bless yourself by saying I have a research purpose and, therefore, go and take any textbook you want.”

The settlement’s timing suggests a pragmatic approach to risk management. While Anthropic could claim vindication on training methodology, defending its acquisition methods before a jury posed substantial financial exposure. Statutory damages for willful infringement can reach $150,000 per work, creating potential liability for Anthropic totaling in the billions.

Anthropic is still facing copyright suits from music publishers, including Universal Music Corp. and Concord Music Group Inc., as well as Reddit. The settlement with authors removes one of Anthropic’s many legal challenges. Lawyers for the plaintiffs said, “[t]his historic settlement will benefit all class members,” promising to announce details in the coming weeks.

This settlement solidifies the principles established in Judge Alsup’s prior ruling: how AI companies acquire training data matters as much as what they do with it. The court’s framework permits AI systems to learn from human cultural output, but only through legitimate channels.

For practitioners advising AI projects and companies, the lesson is straightforward: document data sources meticulously and ensure the legitimate acquisition of data. AI companies that previously relied on scraped or pirated content face strong incentives to negotiate licensing agreements or develop alternative training approaches. Publishers and authors gain leverage to demand compensation, even as the fair use doctrine limits their ability to block AI training entirely.

The Anthropic settlement marks neither a total victory nor a defeat for either side, but rather a recognition of the complex realities governing AI and intellectual property. It also remains to be seen what impact it will have on similar pending cases, including whether this will create a pattern of AI companies settling when facing potential class actions. In this new landscape, the legitimacy of the process matters as much as the innovation of the outcome. That balance will define the next chapter of AI development. Under Anthropic, it is apparent that to maximize chances of AI models constituting fair use, developers should use a bookstore, not a pirate’s flag.



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