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市场调查报告书
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1876712

通讯和IT服务领域生成式人工智慧市场预测至2032年：按组件、部署模式、通讯功能、IT服务功能、组织规模、应用、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球通讯和 IT 服务领域的生成式人工智慧市场规模将达到 6.7946 亿美元，到 2032 年将达到 121.6211 亿美元，预测期内复合年增长率将达到 51.0%。

生成式人工智慧正在透过简化工作流程和增强数位互动，变革通讯和IT服务产业。通讯公司正在部署人工智慧驱动的聊天机器人，以快速解决客户问题并提案个人化服务。在IT领域，生成式人工智慧透过自动程式码产生、进阶品质检查和即时侦错工具来提高生产力。网路营运部门正在利用预测分析来侦测拥塞、最大限度地减少停机时间并加强系统安全性。生成式人工智慧也改善了多语言沟通，为全球科技公司支援世界各地的客户提供支援奠定了基础。

根据普华永道的一项调查，50% 的通讯公司已经部署了至少一项生成式人工智慧应用，而科技公司和媒体娱乐公司的这一比例分别为 80% 和 50%，这表明儘管通讯业正在积极推进这项技术，但它仍在追赶技术领导者。

自动化和营运成本降低

降低成本和实现自动化是推动生成式人工智慧在通讯业和IT服务产业发展的核心因素。大型通讯业者需要处理大量任务，例如收费、故障排除、客户支援和网路维护。生成式人工智慧可以自动完成许多此类日常任务，从而显着减少对人工的依赖。通讯公司正在部署基于人工智慧的支援系统、预测性故障检测和自动化配置流程。同时，IT服务公司正在利用生成式人工智慧来缩短编码週期、实现测试自动化并降低计划成本。减少错误、加快执行速度和降低营运成本的综合优势，使生成式人工智慧成为提升效率和为数位服务供应商带来长期财务收益的强大驱动力。

资料隐私和安全问题

隐私风险显着限制了生成式人工智慧在通讯和IT产业的应用。服务供应商管理敏感的客户记录、个人识别资讯和通讯数据，这些资讯必须防止洩漏。当人工智慧模型分析这些资讯时，企业必须遵守严格的合规标准，以确保资料安全处理。任何洩漏都可能损害品牌声誉，并导致巨额罚款。拥有高度敏感资料库的企业往往会避免大规模人工智慧训练，以防止资料外洩和滥用。此外，资料本地化法规也使跨国营运商的跨境部署变得复杂。这些合规负担和网路风险导致许多组织缓慢采用生成式人工智慧，从而延缓了其在严格监管的通讯环境中的全面部署。

劳动生产力和自动化支持

生成式人工智慧在通讯和IT产业的巨大成长潜力在于提升员工效率。人工智慧工具能够自动执行耗时的任务，例如工单路由、文件建立、客户互动和品质检查。生成式人工智慧助理可以为工程师提供程式码提案和即时侦错指导，从而改善开发成果。客服中心团队在客户互动过程中可以获得即时指导，缩短处理时间并降低错误率。知识助理可以帮助员工快速找到解决方案，减轻培训负担并提高准确性。透过接手重复性任务，生成式人工智慧使员工能够专注于关键任务。这提高了生产力，提升了服务水平，并透过减少人工瓶颈实现了业务规模化。

网路安全和攻击风险日益增加

安全漏洞对生成式人工智慧在通讯和IT服务领域的应用构成重大威胁。攻击者可以利用人工智慧系统，透过创建逼真的网路钓鱼攻击、恶意脚本和恶意内容来渗透网路。资料投毒会改变模型行为，导致预测错误和系统故障。通讯公司经营关键的通讯基础设施，一旦入侵成功，可能导致大规模服务中断或数百万客户记录外洩。生成式人工智慧模型还可以储存宝贵的数据，使其成为骇客的理想目标。由于人工智慧驱动的攻击发展速度远超传统安全措施，各组织面临日益严峻的网路风险，因此在扩展生成式人工智慧部署之前，必须加强自身的防御能力。

新冠疫情的影响：

新冠疫情危机促使通讯和IT服务业大幅提升了生成式人工智慧的应用，因为各组织机构纷纷向远距办公和线上服务交付模式转型。随着数据使用量的激增，电信业者利用人工智慧优化网路效能、控制拥塞并自动回应客户请求。 IT公司已将生成式人工智慧整合到远端支援系统、自动化开发平臺和云端安全中，以管理分散式团队。对云端采用需求的不断增长，也增加了对人工智慧驱动的迁移工具和效能监控的需求。儘管财务压力减缓了一些投资，但生成式人工智慧已透过降低成本、维持服务运作和简化远距办公流程证明了自身的价值，从而加速了长期的数位转型。

预计在预测期内，生成式人工智慧平台细分市场将占据最大的市场份额。

预计在预测期内，生成式人工智慧平台将占据最大的市场份额，因为它是通讯和IT环境中所有人工智慧驱动型营运的主要技术基础。企业依靠这些平台进行模型建构、资料处理、服务自动化，并将智慧嵌入到客户支援、网路管理和软体开发中。这些平台能够轻鬆与现有系统集成，帮助营运商建立客製化解决方案，而无需进行大规模的基础设施变更。这些平台能够支援从聊天机器人到预测性维护等各种用例，为企业提供长期的扩充性和创新潜力。随着数位转型的快速扩展，生成式人工智慧平台仍将是推动整个通讯和IT服务生态系统采用人工智慧的最重要组成部分。

预计在预测期内，云端基础市场将实现最高的复合年增长率。

预计在预测期内，云端基础解决方案将实现最高成长率，因为它为在通讯和IT环境中部署生成式人工智慧提供了更高的灵活性、扩充性和更低的基础设施成本。企业无需维护实体硬件，即可利用云端资源快速建置、测试和更新模型。这实现了即时处理、自动升级，并与处理收费、分析和客户管理的数位平台无缝整合。云端基础的生成式人工智慧还支援远端办公和全球服务交付，使其非常适合现代分散式营运。随着对人工智慧驱动的自动化和网路智慧的需求不断增长，云端解决方案正成为最具吸引力的选择，与边缘部署、本地部署和混合部署相比，其采用率更高，复合年增长率也更高。

占比最大的地区：

由于北美拥有完善的数位基础设施、在人工智慧创新领域投入巨资，以及众多大型通讯业者和IT服务供应商的强大影响力，预计北美将在预测期内占据最大的市场份额。生成式人工智慧已被广泛应用于自动化客户支援、优化网路和提升软体交付效率，而北美地区在人工智慧的应用方面处于领先地位。凭藉成熟的生态系统和完善的製度准备，北美企业能够更好地应对大规模人工智慧应用。

复合年增长率最高的地区：

预计亚太地区在预测期内将呈现最高的复合年增长率。这主要得益于中国、印度、日本和澳洲等国家的数位化，以及5G、智慧基础设施和物联网系统的广泛应用。该地区的电信业者和IT公司正在快速整合生成式人工智慧，以实现网路自动化、提升客户服务并优化营运。政府对人工智慧策略的大力支持以及对云端运算和资料中心不断增长的投资，进一步推动了这一发展势头。因此，亚太地区的成长率预计将高于其他成熟市场，为生成式人工智慧在该领域的拓展提供了巨大的机会。

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  • 公司概况
    • 对其他市场公司（最多 3 家公司）进行全面分析
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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球通讯和IT服务领域生成式人工智慧市场（按组件划分）

  • 介绍
  • 生成式人工智慧平台
  • 生成式人工智慧服务
  • 生成式人工智慧基础设施

6. 全球通讯和IT服务领域生成式人工智慧市场（按部署模式划分）

  • 介绍
  • 本地部署
  • 云端基础的
  • 边缘运算
  • 杂交种

7. 全球通讯与IT服务领域生成式人工智慧市场（依通讯职能划分）

  • 介绍
  • 核心网路营运
  • OSS/BSS自动化
  • RAN 和开放式 RAN 智能
  • 用户生命週期管理
  • 计费和收入优化

8. 全球通讯与IT服务领域生成式人工智慧市场（依IT服务功能划分）

  • 介绍
  • ITSM 和 AIOps
  • DevOps 和 CI/CD 自动化
  • 打造数位化工作场所
  • 企业数据智能

9. 全球通讯和IT服务领域生成式人工智慧市场（按组织规模划分）

  • 介绍
  • 大公司
  • 小型企业

10. 全球通讯和IT服务领域生成式人工智慧市场（按应用划分）

  • 介绍
  • 优化网路效能
  • 设备的预测性维护
  • 虚拟代理支援
  • 威胁侦测与网路防御
  • 宣传活动个人化
  • 自动化服务配置
  • 服务等级协定 (SLA) 监控和执行
  • 推荐系​​统

11. 全球通讯和IT服务领域生成式人工智慧市场（按最终用户划分）

  • 介绍
  • 通讯业者
  • 託管服务供应商
  • IT顾问公司
  • 云端基础设施供应商

12. 全球通讯和IT服务领域生成式人工智慧市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十三章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十四章 企业概况

  • 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.