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市場調查報告書
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1876712

通訊和IT服務領域生成式人工智慧市場預測至2032年：按組件、部署模式、通訊功能、IT服務功能、組織規模、應用、最終用戶和地區分類的全球分析

GenAI in Telecom & IT Services Market Forecasts to 2032 - Global Analysis By Component, Deployment Model, Telecom Function, IT Services Function, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球通訊和 IT 服務領域的生成式人工智慧市場規模將達到 6.7946 億美元，到 2032 年將達到 121.6211 億美元，預測期內複合年成長率將達到 51.0%。

生成式人工智慧正在透過簡化工作流程和增強數位互動，變革通訊和IT服務產業。通訊公司正在部署人工智慧驅動的聊天機器人，以快速解決客戶問題並提案個人化服務。在IT領域，生成式人工智慧透過自動程式碼產生、進階品質檢查和即時偵錯工具來提高生產力。網路營運部門正在利用預測分析來偵測擁塞、最大限度地減少停機時間並加強系統安全性。生成式人工智慧也改善了多語言溝通，為全球科技公司支援世界各地的客戶提供支援奠定了基礎。

根據普華永道的一項調查，50% 的通訊公司已經部署了至少一項生成式人工智慧應用，而科技公司和媒體娛樂公司的這一比例分別為 80% 和 50%，這表明儘管通訊業正在積極推進這項技術，但它仍在追趕技術領導者。

自動化和營運成本降低

降低成本和實現自動化是推動生成式人工智慧在通訊業和IT服務產業發展的核心因素。大型通訊業者需要處理大量任務，例如收費、故障排除、客戶支援和網路維護。生成式人工智慧可以自動完成許多此類日常任務，從而顯著減少對人工的依賴。通訊公司正在部署基於人工智慧的支援系統、預測性故障檢測和自動化配置流程。同時，IT服務公司正在利用生成式人工智慧來縮短編碼週期、實現測試自動化並降低計劃成本。減少錯誤、加快執行速度和降低營運成本的綜合優勢，使生成式人工智慧成為提升效率和為數位服務供應商帶來長期財務收益的強大驅動力。

資料隱私和安全問題

隱私風險顯著限制了生成式人工智慧在通訊和IT產業的應用。服務供應商管理敏感的客戶記錄、個人識別資訊和通訊數據，這些資訊必須防止洩漏。當人工智慧模型分析這些資訊時，企業必須遵守嚴格的合規標準，以確保資料安全處理。任何洩漏都可能損害品牌聲譽，並導致巨額罰款。擁有高度敏感資料庫的企業往往會避免大規模人工智慧訓練，以防止資料外洩和濫用。此外，資料本地化法規也使跨國營運商的跨境部署變得複雜。這些合規負擔和網路風險導致許多組織緩慢採用生成式人工智慧，從而延緩了其在嚴格監管的通訊環境中的全面部署。

勞動生產力和自動化支持

生成式人工智慧在通訊和IT產業的巨大成長潛力在於提升員工效率。人工智慧工具能夠自動執行耗時的任務，例如工單路由、文件建立、客戶互動和品質檢查。生成式人工智慧助理可以為工程師提供程式碼提案和即時偵錯指導，從而改善開發成果。客服中心團隊在客戶互動過程中可以獲得即時指導，縮短處理時間並降低錯誤率。知識助理可以幫助員工快速找到解決方案，減輕培訓負擔並提高準確性。透過接手重複性任務，生成式人工智慧使員工能夠專注於關鍵任務。這提高了生產力，提升了服務水平，並透過減少人工瓶頸實現了業務規模化。

網路安全和攻擊風險日益增加

安全漏洞對生成式人工智慧在通訊和IT服務領域的應用構成重大威脅。攻擊者可以利用人工智慧系統，透過創建逼真的網路釣魚攻擊、惡意腳本和惡意內容來滲透網路。資料投毒會改變模型行為，導致預測錯誤和系統故障。通訊公司經營關鍵的通訊基礎設施，一旦入侵成功，可能導致大規模服務中斷或數百萬客戶記錄外洩。生成式人工智慧模型還可以儲存寶貴的數據，使其成為駭客的理想目標。由於人工智慧驅動的攻擊發展速度遠超傳統安全措施，各組織面臨日益嚴峻的網路風險，因此在擴展生成式人工智慧部署之前，必須加強自身的防禦能力。

新冠疫情的影響：

新冠疫情危機促使通訊和IT服務業大幅提升了生成式人工智慧的應用，因為各組織機構紛紛向遠距辦公和線上服務交付模式轉型。隨著數據使用量的激增，電信業者利用人工智慧最佳化網路效能、控制擁塞並自動回應客戶請求。 IT公司已將生成式人工智慧整合到遠端支援系統、自動化開發平臺和雲端安全中，以管理分散式團隊。對雲端採用需求的不斷成長，也增加了對人工智慧驅動的遷移工具和效能監控的需求。儘管財務壓力減緩了一些投資，但生成式人工智慧已透過降低成本、維持服務運作和簡化遠距辦公流程證明了自身的價值，從而加速了長期的數位轉型。

預計在預測期內，生成式人工智慧平台細分市場將佔據最大的市場佔有率。

預計在預測期內，生成式人工智慧平台將佔據最大的市場佔有率，因為它是通訊和IT環境中所有人工智慧驅動型營運的主要技術基礎。企業依靠這些平台進行模型建構、資料處理、服務自動化，並將智慧嵌入到客戶支援、網路管理和軟體開發中。這些平台能夠輕鬆與現有系統整合，幫助營運商建立客製化解決方案，而無需進行大規模的基礎設施變更。這些平台能夠支援從聊天機器人到預測性維護等各種用例，為企業提供長期的擴充性和創新潛力。隨著數位轉型的快速擴展，生成式人工智慧平台仍將是推動整個通訊和IT服務生態系統採用人工智慧的最重要組成部分。

預計在預測期內，雲端基礎市場將實現最高的複合年成長率。

預計在預測期內，雲端基礎解決方案將實現最高成長率，因為它為在通訊和IT環境中部署生成式人工智慧提供了更高的靈活性、擴充性和更低的基礎設施成本。企業無需維護實體硬體，即可利用雲端資源快速建置、測試和更新模型。這實現了即時處理、自動升級，並與處理收費、分析和客戶管理的數位平台無縫整合。雲端基礎的生成式人工智慧還支援遠端辦公和全球服務交付，使其非常適合現代分散式營運。隨著對人工智慧驅動的自動化和網路智慧的需求不斷成長，雲端解決方案正成為最具吸引力的選擇，與邊緣部署、本地部署和混合部署相比，其採用率更高，複合年成長率也更高。

佔比最大的地區：

由於北美擁有完善的數位基礎設施、在人工智慧創新領域投入巨資，以及眾多大型通訊業者和IT服務供應商的強大影響力，預計北美將在預測期內佔據最大的市場佔有率。生成式人工智慧已被廣泛應用於自動化客戶支援、最佳化網路和提升軟體交付效率，而北美地區在人工智慧的應用方面處於領先地位。憑藉成熟的生態系統和完善的製度準備，北美企業能夠更好地應對大規模人工智慧應用。

複合年成長率最高的地區：

預計亞太地區在預測期內將呈現最高的複合年成長率。這主要得益於中國、印度、日本和澳洲等國家的數位化，以及5G、智慧基礎設施和物聯網系統的廣泛應用。該地區的電信業者和IT公司正在快速整合生成式人工智慧，以實現網路自動化、提升客戶服務並最佳化營運。政府對人工智慧策略的大力支持以及對雲端運算和資料中心不斷成長的投資，進一步推動了這一發展勢頭。因此，亞太地區的成長率預計將高於其他成熟市場，為生成式人工智慧在該領域的拓展提供了巨大的機會。

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    • 根據主要企業的產品系列、地理覆蓋範圍和策略聯盟基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球通訊和IT服務領域生成式人工智慧市場（按組件分類）

  • 介紹
  • 生成式人工智慧平台
  • 生成式人工智慧服務
  • 生成式人工智慧基礎設施

6. 全球通訊和IT服務領域生成式人工智慧市場（按部署模式分類）

  • 介紹
  • 本地部署
  • 雲端基礎的
  • 邊緣運算
  • 混合

7. 全球通訊與IT服務領域生成式人工智慧市場（依通訊職能分類）

  • 介紹
  • 核心網路營運
  • OSS/BSS自動化
  • RAN 和開放式 RAN 智慧
  • 用戶生命週期管理
  • 計費和收入最佳化

8. 全球通訊與IT服務領域生成式人工智慧市場（依IT服務功能分類）

  • 介紹
  • ITSM 和 AIOps
  • DevOps 和 CI/CD 自動化
  • 打造數位化工作場所
  • 企業數據智慧

9. 全球通訊和IT服務領域生成式人工智慧市場（按組織規模分類）

  • 介紹
  • 主要企業
  • 小型企業

10. 全球通訊和IT服務領域生成式人工智慧市場（按應用分類）

  • 介紹
  • 最佳化網路效能
  • 設備的預測性維護
  • 虛擬代理支援
  • 威脅偵測與網路防禦
  • 宣傳活動個人化
  • 自動化服務配置
  • 服務等級協定 (SLA) 監控和執行
  • 推薦系​​統

11. 全球通訊和IT服務領域生成式人工智慧市場（按最終用戶分類）

  • 介紹
  • 通訊業者
  • 託管服務供應商
  • IT顧問公司
  • 雲端基礎設施供應商

12. 全球通訊和IT服務領域生成式人工智慧市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第14章 企業概況

  • Accenture
  • IBM
  • NTT DATA
  • Tredence
  • Startek
  • LeewayHertz
  • Talentica Software
  • Softlabs Group
  • GlobalLogic
  • Hexaware Technologies
  • Persistent Systems
  • Virtusa
  • Birlasoft
  • Ericsson
  • Microsoft
Product Code: SMRC32332

According to Stratistics MRC, the Global GenAI in Telecom & IT Services Market is accounted for $679.46 million in 2025 and is expected to reach $12162.11 million by 2032 growing at a CAGR of 51.0% during the forecast period. Generative AI is transforming Telecom and IT Services by streamlining workflows and enhancing digital interactions. Telecom companies deploy AI-enabled chatbots to resolve customer issues faster while offering tailored service suggestions. In the IT domain, GenAI boosts productivity through automated code writing, smarter quality checks, and instant debugging tools. Network operations benefit from predictive analytics that detect congestion, minimize downtime, and bolster system security. GenAI also improves cross-language communication, helping global tech firms support customers around the world.

According to PwC, 50% of telecom companies have already deployed at least one GenAI application. This compares to 80% in technology firms and 50% in media & entertainment, showing telecom is actively engaging but still catching up to tech leaders.

Market Dynamics:

Driver:

Automation & operational cost reduction

Cost savings and automation are core factors fueling GenAI growth across Telecom and IT Services. Large operators manage high-volume operations such as billing, troubleshooting, customer support, and network maintenance. With GenAI, many of these routine tasks become autonomous, significantly lowering reliance on human agents. Telecom companies deploy AI-based support systems, predictive outage detection, and automated provisioning processes. Meanwhile, IT service firms apply GenAI to shorten coding cycles, automate testing, and reduce project costs. The combined benefit of fewer errors, faster execution, and low operating expenditure makes generative AI a powerful enabler of efficiency and long-term financial gains for digital service providers.

Restraint:

Data privacy & security concerns

Privacy risks significantly limit GenAI deployment in Telecom and IT sectors. Service providers manage confidential customer records, personal identifiers, and communication data, which must be protected from breaches. When AI models analyze such information, companies must follow strict compliance standards and ensure secure handling. Any breach can damage brand reputation and invite heavy fines. Enterprises with sensitive databases often avoid large-scale AI training to prevent exposure or unauthorized usage. Data localization rules also make cross-country implementation complex for multinational operators. Due to these compliance burdens and cyber risks, many organizations adopt GenAI slowly, delaying full-scale deployment in regulated telecom environments.

Opportunity:

Workforce productivity & automation support

Workforce efficiency is a strong growth opportunity for GenAI in the telecom and IT domain. AI tools automate time-consuming activities such as ticket routing, documentation, customer interactions, and quality checks. GenAI copilots support engineers with coding suggestions and instant debugging advice, improving development output. Call center teams get real-time guidance during customer conversations, reducing handling time and error rates. Knowledge assistants help employees find solutions quickly, cutting training efforts and enhancing accuracy. By taking over repetitive duties, GenAI frees employees to focus on critical tasks. This boosts productivity, raises service standards, and allows organizations to scale operations with fewer manual bottlenecks.

Threat:

Rising cyber security & misuse risks

Security vulnerabilities pose a significant threat to GenAI growth in Telecom and IT services. Attackers can misuse AI systems to create realistic phishing attempts, harmful scripts, or fraudulent content that infiltrates networks. Data poisoning can alter model behavior, leading to false predictions or system malfunctions. Because telecom companies operate essential communication infrastructure, a successful breach could trigger major service disruptions or expose millions of customer records. GenAI models may also store valuable data, making them attractive hacking targets. As AI-powered attacks evolve faster than traditional security controls, organizations face heightened cyber risks, forcing companies to strengthen defenses before expanding GenAI adoption.

Covid-19 Impact:

The COVID-19 crisis significantly boosted GenAI usage in Telecom and IT Services as organizations transitioned to remote operations and online service delivery. With sudden spikes in data usage, telecom companies relied on AI to optimize network performance, control congestion, and respond to customer requests automatically. IT firms integrated GenAI into remote support systems, automated development pipelines, and cloud security to manage distributed teams. Demand for cloud adoption grew, increasing the need for AI-powered migration tools and performance monitoring. Although some investments slowed due to financial pressures, GenAI demonstrated strong value by cutting costs, maintaining service uptime, and enabling remote workforce efficiency, accelerating long-term digital modernization.

The GenAI platforms segment is expected to be the largest during the forecast period

The GenAI platforms segment is expected to account for the largest market share during the forecast period because they serve as the primary technology layer that powers all AI-driven operations in telecom and IT environments. Companies depend on these platforms to build models, process data, automate services, and embed intelligence into customer support, network management, and software development. They enable easy integration with existing systems, allowing operators to create tailored solutions without major infrastructure changes. Since platforms can support multiple use cases-from chatbots to predictive maintenance-organizations gain long-term scalability and innovation potential. With digital transformation expanding rapidly, GenAI platforms remain the most important segment for enabling AI adoption across telecom and IT service ecosystems.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate because it offers high flexibility, scalability, and lower infrastructure costs for GenAI rollout in telecom and IT environments. Companies can build, test, and update models quickly using cloud resources instead of maintaining physical hardware. It enables real-time processing, automated upgrades, and smooth integration with digital platforms that handle billing, analytics, and customer management. Cloud-based GenAI also supports remote workforces and global service delivery, making it suitable for modern, decentralized operations. With increasing demand for AI-powered automation and network intelligence, cloud solutions become the most attractive option, driving stronger adoption and higher CAGR compared to edge, on-premises, or hybrid deployments.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This is due to its well-established digital infrastructure, substantial funding in AI innovation and the strong footprint of key telecom and IT service providers. Generative AI is already being used extensively here for automating customer support, optimizing networks, and advancing software delivery, positioning the region at the forefront of adoption. Organizations in North America are more prepared to deploy AI at scale, owing to mature ecosystems and institutional readiness.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This is driven by digitalization in nations like China, India, Japan and Australia, plus the widespread deployment of 5G, smart infrastructure and IoT systems. Telecom companies and IT firms in the region are rapidly integrating GenAI for automating networks, enhancing customer service and optimizing operations. Strong government backing of AI strategies and growing cloud and data centre investment further fuel this momentum. Thus, Asia-Pacific is expected to register a higher growth rate than more established markets, presenting major opportunities for GenAI expansion in the sector.

Key players in the market

Some of the key players in GenAI in Telecom & IT Services Market include Accenture, IBM, NTT DATA, Tredence, Startek, LeewayHertz, Talentica Software, Softlabs Group, GlobalLogic, Hexaware Technologies, Persistent Systems, Virtusa, Birlasoft, Ericsson and Microsoft.

Key Developments:

In November 2025, NTT DATA and ServiceNow announced an expanded strategic partnership to accelerate AI-led transformation for enterprises. The companies will execute joint go-to-market and delivery commitments, including co-developing and co-selling AI-powered solutions to help organizations to transform the way work gets done.

In August 2025, Accenture has agreed to acquire CyberCX, a leading privately-owned cybersecurity services provider serving both private and public sector organizations across Australia, New Zealand and internationally. The move represents Accenture's largest cybersecurity acquisition to date and will significantly bolster Accenture's cybersecurity services in Asia Pacific.

In April 2025, IBM announced its plans to establish a state-of-the-art Software Lab in Lucknow, Uttar Pradesh focused on advancing Generative AI and Agentic AI technologies. The Lab will be located at Platinum Mall, Sushant Golf City, Lucknow. IBM India Software Labs, one of the largest software development centers for IBM, plays a crucial role in the development of generative AI, data & AI, automation, cybersecurity and sustainability solutions.

Components Covered:

  • GenAI Platforms
  • GenAI Services
  • GenAI Infrastructure

Deployment Models Covered:

  • On-premises
  • Cloud-based
  • Edge Computing
  • Hybrid

Telecom Functions Covered:

  • Core Network Operations
  • OSS/BSS Automation
  • RAN & Open RAN Intelligence
  • Subscriber Lifecycle Management
  • Billing & Revenue Optimization

IT Services Functions Covered:

  • ITSM & AIOps
  • DevOps & CI/CD Automation
  • Digital Workplace Enablement
  • Enterprise Data Intelligence

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Applications Covered:

  • Network Performance Optimization
  • Equipment Predictive Maintenance
  • Virtual Agents for Support
  • Threat Detection & Cyber Defense
  • Campaign Personalization
  • Service Provisioning Automation
  • SLA Monitoring & Enforcement
  • Recommendation Systems

End Users Covered:

  • Telecom Operators
  • Managed Service Providers
  • IT Consulting Firms
  • Cloud Infrastructure Providers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global GenAI in Telecom & IT Services Market, By Component

  • 5.1 Introduction
  • 5.2 GenAI Platforms
  • 5.3 GenAI Services
  • 5.4 GenAI Infrastructure

6 Global GenAI in Telecom & IT Services Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-premises
  • 6.3 Cloud-based
  • 6.4 Edge Computing
  • 6.5 Hybrid

7 Global GenAI in Telecom & IT Services Market, By Telecom Function

  • 7.1 Introduction
  • 7.2 Core Network Operations
  • 7.3 OSS/BSS Automation
  • 7.4 RAN & Open RAN Intelligence
  • 7.5 Subscriber Lifecycle Management
  • 7.6 Billing & Revenue Optimization

8 Global GenAI in Telecom & IT Services Market, By IT Services Function

  • 8.1 Introduction
  • 8.2 ITSM & AIOps
  • 8.3 DevOps & CI/CD Automation
  • 8.4 Digital Workplace Enablement
  • 8.5 Enterprise Data Intelligence

9 Global GenAI in Telecom & IT Services Market, By Organization Size

  • 9.1 Introduction
  • 9.2 Large Enterprises
  • 9.3 Small & Medium Enterprises (SMEs)

10 Global GenAI in Telecom & IT Services Market, By Application

  • 10.1 Introduction
  • 10.2 Network Performance Optimization
  • 10.3 Equipment Predictive Maintenance
  • 10.4 Virtual Agents for Support
  • 10.5 Threat Detection & Cyber Defense
  • 10.6 Campaign Personalization
  • 10.7 Service Provisioning Automation
  • 10.8 SLA Monitoring & Enforcement
  • 10.9 Recommendation Systems

11 Global GenAI in Telecom & IT Services Market, By End User

  • 11.1 Introduction
  • 11.2 Telecom Operators
  • 11.3 Managed Service Providers
  • 11.4 IT Consulting Firms
  • 11.5 Cloud Infrastructure Providers

12 Global GenAI in Telecom & IT Services Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Accenture
  • 14.2 IBM
  • 14.3 NTT DATA
  • 14.4 Tredence
  • 14.5 Startek
  • 14.6 LeewayHertz
  • 14.7 Talentica Software
  • 14.8 Softlabs Group
  • 14.9 GlobalLogic
  • 14.10 Hexaware Technologies
  • 14.11 Persistent Systems
  • 14.12 Virtusa
  • 14.13 Birlasoft
  • 14.14 Ericsson
  • 14.15 Microsoft

List of Tables

  • Table 1 Global GenAI in Telecom & IT Services Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global GenAI in Telecom & IT Services Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global GenAI in Telecom & IT Services Market Outlook, By GenAI Platforms (2024-2032) ($MN)
  • Table 4 Global GenAI in Telecom & IT Services Market Outlook, By GenAI Services (2024-2032) ($MN)
  • Table 5 Global GenAI in Telecom & IT Services Market Outlook, By GenAI Infrastructure (2024-2032) ($MN)
  • Table 6 Global GenAI in Telecom & IT Services Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 7 Global GenAI in Telecom & IT Services Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 8 Global GenAI in Telecom & IT Services Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 9 Global GenAI in Telecom & IT Services Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 10 Global GenAI in Telecom & IT Services Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 11 Global GenAI in Telecom & IT Services Market Outlook, By Telecom Function (2024-2032) ($MN)
  • Table 12 Global GenAI in Telecom & IT Services Market Outlook, By Core Network Operations (2024-2032) ($MN)
  • Table 13 Global GenAI in Telecom & IT Services Market Outlook, By OSS/BSS Automation (2024-2032) ($MN)
  • Table 14 Global GenAI in Telecom & IT Services Market Outlook, By RAN & Open RAN Intelligence (2024-2032) ($MN)
  • Table 15 Global GenAI in Telecom & IT Services Market Outlook, By Subscriber Lifecycle Management (2024-2032) ($MN)
  • Table 16 Global GenAI in Telecom & IT Services Market Outlook, By Billing & Revenue Optimization (2024-2032) ($MN)
  • Table 17 Global GenAI in Telecom & IT Services Market Outlook, By IT Services Function (2024-2032) ($MN)
  • Table 18 Global GenAI in Telecom & IT Services Market Outlook, By ITSM & AIOps (2024-2032) ($MN)
  • Table 19 Global GenAI in Telecom & IT Services Market Outlook, By DevOps & CI/CD Automation (2024-2032) ($MN)
  • Table 20 Global GenAI in Telecom & IT Services Market Outlook, By Digital Workplace Enablement (2024-2032) ($MN)
  • Table 21 Global GenAI in Telecom & IT Services Market Outlook, By Enterprise Data Intelligence (2024-2032) ($MN)
  • Table 22 Global GenAI in Telecom & IT Services Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 23 Global GenAI in Telecom & IT Services Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 24 Global GenAI in Telecom & IT Services Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 25 Global GenAI in Telecom & IT Services Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global GenAI in Telecom & IT Services Market Outlook, By Network Performance Optimization (2024-2032) ($MN)
  • Table 27 Global GenAI in Telecom & IT Services Market Outlook, By Equipment Predictive Maintenance (2024-2032) ($MN)
  • Table 28 Global GenAI in Telecom & IT Services Market Outlook, By Virtual Agents for Support (2024-2032) ($MN)
  • Table 29 Global GenAI in Telecom & IT Services Market Outlook, By Threat Detection & Cyber Defense (2024-2032) ($MN)
  • Table 30 Global GenAI in Telecom & IT Services Market Outlook, By Campaign Personalization (2024-2032) ($MN)
  • Table 31 Global GenAI in Telecom & IT Services Market Outlook, By Service Provisioning Automation (2024-2032) ($MN)
  • Table 32 Global GenAI in Telecom & IT Services Market Outlook, By SLA Monitoring & Enforcement (2024-2032) ($MN)
  • Table 33 Global GenAI in Telecom & IT Services Market Outlook, By Recommendation Systems (2024-2032) ($MN)
  • Table 34 Global GenAI in Telecom & IT Services Market Outlook, By End User (2024-2032) ($MN)
  • Table 35 Global GenAI in Telecom & IT Services Market Outlook, By Telecom Operators (2024-2032) ($MN)
  • Table 36 Global GenAI in Telecom & IT Services Market Outlook, By Managed Service Providers (2024-2032) ($MN)
  • Table 37 Global GenAI in Telecom & IT Services Market Outlook, By IT Consulting Firms (2024-2032) ($MN)
  • Table 38 Global GenAI in Telecom & IT Services Market Outlook, By Cloud Infrastructure Providers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.