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2023-2030 年全球电信市场人工智慧 (AI)
市场调查报告书
商品编码
1380417

2023-2030 年全球电信市场人工智慧 (AI)

Global Artificial Intelligence (AI) in Telecommunication Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 190 Pages | 商品交期: 2-3个工作天内

价格

预计在预测期内（2023-2030 年），全球电信市场人工智慧 (AI) 将以 40.6% 的CAGR成长。市场的成长归功于全球的客户支援和服务。由人工智慧支援的虚拟助理和聊天机器人用于回答常见的客户问题、解决问题并提供资讯。透过更快的回应时间和更高的客户满意度，自动化改善了客户服务和支援。例如，2023 年9 月，诺基亚推出了「企业边缘充电」软体解决方案，用于推动智慧城市、公用事业和铁路垂直产业的货币化能力，因为该公司寻求策略性地增强其在企业领域的市场主导地位。

细分市场前景

全球电信市场人工智慧（AI）按组件、部署模型、技术和应用进行细分。根据组件，市场分为解决方案和服务。根据部署模型，市场分为本地和云端。根据技术，市场细分为机器学习、自然语言处理、资料分析等。此外，根据应用，市场细分为客户分析、网路安全、网路优化、自我诊断、虚拟协助等。自然语言处理 (NLP) 子类别预计将占据组件细分市场的很大一部分市场份额。这归因于使用自然语言处理（NLP）技术来读取以数位格式储存的资料，并用于理解各种语言的人类语音，这是不断扩大的电信行业的资料库。

预计解决方案细分市场将在全球电信市场人工智慧（AI）市场中占据相当大的份额

其中，解决方案细分市场预计将在全球电信市场人工智慧（AI）市场中占据相当大的份额。细分市场的成长归因于网路有效性和成本最小化。数位营运技术员应用程式的使用促进了营运效率的提高，该应用程式还可以管理网路效能并最大限度地降低营运成本。例如，2023年9月，Netcracker Technology推出了新的GenAI Telco解决方案，为电信产业带来了生成式人工智慧（GenAI）技术的价值。通讯服务供应商 (CSP) 可以透过新解决方案以安全、受控的方式利用其电信资料和知识，从而使他们的客户、业务合作伙伴及其自身营运受益。它包括以电信为中心的应用程式的协助，包括护理助理、代理合作伙伴、销售助理、目录助理和数位营运技术人员。

区域展望

全球电信市场人工智慧（AI）根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（英国、义大利、西班牙、德国、法国和欧洲其他地区）、亚太地区（印度、中国、日本、韩国和亚洲其他地区）以及世界其他地区（中东和非洲以及拉丁美洲）。其中，由于对该行业的额外投资，并且出现了各种供应商来满足快速增长的需求，预计北美将在全球市场中占据显着份额。

亚太地区全球电信市场人工智慧 (AI) 预计将以显着的CAGR成长

在所有地区中，亚太地区预计在预测期内将以相当大的CAGR成长。地区成长归因于印度电信业在该地区的成长。在5G技术的推动下，印度电信业对于国内外投资者来说是一个具有潜在成长和投资机会的领域。基础设施、技术开发和数位服务预计将成为增加投资的领域。根据印度投资局2022年9月数据显示，印度电信业在过去七年中取得了巨大成长。 5G技术的引入预计将对印度经济产生巨大影响，预计未来二十年将增加4,500亿美元。预计到 2025 年，智慧型手机普及率将达到 10 亿，这将创造许多新的商机。还需要2,200万名技术工人来操作与5G技术相关的硬体和软体，例如物联网（IoT）、人工智慧（AI）、机器人和云端运算。该行业提供了一系列有吸引力的投资机会。

此外，电信公司正在利用人工智慧来改善客户服务，例如使用聊天机器人和虚拟助理。这有助于提供更及时的回应，改善用户体验，并有可能提高客户忠诚度。 2023年7月，印度电信监理局（TRAI）发布了电信领域使用人工智慧和大资料的建议。建立 AI 监管机构以及 TRAI 在防止垃圾邮件方面发挥更广泛的作用。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • AT&T Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Cisco Systems, Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Evolv
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 全球电信市场人工智慧 (AI) 按组成部分
    • 解决方案
    • 服务
  • 全球电信市场人工智慧（AI）部署模式
    • 本地部署
    • 云
  • 按技术分類的全球电信市场人工智慧 (AI)
    • 机器学习（ML）
    • 自然语言处理（NLP）
    • 数据分析
    • 其他（人工智慧增强虚拟助理、强化学习、网路功能虚拟化
  • 全球人工智慧（AI）在电信市场的应用
    • 客户分析
    • 网路安全
    • 网路最佳化
    • 自诊断
    • 虚拟协助
    • 其他（资料流量预测、诈欺侦测）

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • Google
  • H2O.ai, Inc.
  • IBM Corp.
  • Infosys Ltd.
  • Intel
  • Microsoft
  • NetCracker Technology Corp.
  • Nokia
  • Nuance Communications, Inc.,
  • NVIDIA Corp.
  • Salesforce, Inc.
Product Code: OMR2027826

Title: Global Artificial Intelligence (AI) in Telecommunication Market Size, Share & Trends Analysis Report by Component (Solution and Service), by Deployment Model (On-Premise and Cloud), by Technology (Machine Learning (ML), Natural Language Processing (NLP), Data Analytics, and Others), and by Application (Customer Analytics, Network Security, Network Optimization, Self-, Diagnostics, Virtual Assistance, and Others)Forecast Period (2023-2030).

The global Artificial Intelligence (AI) in Telecommunication market is anticipated to grow at a CAGR of 40.6 % during the Forecast Period (2023-2030). The market's growth is attributed to customer support and service across the globe. Virtual assistants and chatbots powered by AI are utilized to answer common customer questions, solve problems, and offer information. Through faster response times and higher customer satisfaction, automation improves customer service and support. For instance, in September 2023, Nokia launched an 'Enterprise Edge Charging' software solution for driving monetization capabilities for smart cities, utilities, and railway verticals, as the business seeks to strategically increase its market dominance in the enterprise sector.

Segmental Outlook

The global artificial intelligence (AI) in telecommunication market is segmented on the component, deployment model, technology, and application. Based on the component, the market is sub-segmented into solution, and service. Based on the deployment model, the market is sub-segmented into on-premise, and cloud. Based on the technology, the market is sub-segmented into machine learning, natural language processing, data analytics, and others. Further, on the basis of application, the market is sub-segmented into customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others. The natural language processing (NLP) subcategory is expected to capture a significant portion of the market share within the component segment. This is attributed to the use of natural language processing (NLP) technology to read data stored in digital format and utilized to comprehend human speech in a variety of languages, a database for the expanding telecom sector.

The Solution Sub-Segment is Anticipated to Hold a Considerable Share of the Global Artificial Intelligence (AI) in Telecommunication Market

Among the component, the Solution sub-segment is expected to hold a considerable share of the global artificial intelligence (AI) in telecommunication market. The segmental growth is attributed to the network effectiveness and cost minimization. An increase in operational efficiency is facilitated by the utilization of the Digital Operations Technician application, that additionally manages network performance and minimizes operational costs. For instance, in September 2023, Netcracker Technology launched new GenAI Telco Solution, which brings value of generative artificial intelligence (GenAI) technology to the telecom industry. Communications service providers (CSPs) can utilize its telecom data and knowledge in a secure and controlled manner with the new solution to benefit their clients, business partners, and their own operations. It includes assistance with telco-centric applications including care assistant, agent partner, sales assistant, catalogue assistant, and digital operations technician.

Regional Outlook

The global artificial intelligence (AI) in telecommunication market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to the additional amount has been invested in the sector, and a variety of vendors have emerged to serve the fast expanding demand.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence (AI) in Telecommunication Market

Among all regions, the Asia-Pacific regions is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the increase in India's telecom sector in the region. India's telecommunication sector, driven by 5G technology, is a region of potential growth and investment opportunity for domestic and international investors. Infrastructure, technology development, and digital services are expected to be areas of increased investment. According to the Invest India, in September 2022, the telecommunication sector in India has seen tremendous growth over the past seven years. The introduction of 5G technology is expected to have a large impact on the Indian economy, with an estimated increase of $450 billion over the next two decades. Smartphone penetration is forecasted to reach one billion in 2025, and this will create many new business opportunities. There will also be a need for 22 million skilled workers to operate hardware and software related to 5G technology such as the Internet of Things (IoT), Artificial Intelligence (AI), robotics and cloud computing. This sector offers a range of attractive investment opportunities.

Furthermore, Telecom companies are employing AI to improve customer service, such as through the use of chatbots and virtual assistants. This can help to provide more timely responses, improve user experience, and potentially increase customer loyalty. in July 2023, The Telecom Regulatory Authority of India (TRAI) released recommendations on the use of artificial intelligence and big data in the telecom sector. The establishment of an AI regulator and a broader range of TRAI's role in preventing spam.

Market Players Outlook

The major companies serving the global artificial intelligence (AI) in telecommunication market include: Google, H2O.ai, Inc., IBM Corp., Infosys Ltd., Intel, and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in February 2023, Bharti Airtel launched it has built an AI-based solution, collaborated with NVIDIA that improves the overall customer experience for all in-bound calls to its contact center.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global artificial intelligence (AI) in telecommunication market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. AT&T Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Cisco Systems, Inc.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Evolv
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Artificial Intelligence (AI) in Telecommunication Market by Component
    • 4.1.1. Solution
    • 4.1.2. Service
  • 4.2. Global Artificial Intelligence (AI) in Telecommunication Market by Deployment Mode
    • 4.2.1. On-Premise
    • 4.2.2. Cloud
  • 4.3. Global Artificial Intelligence (AI) in Telecommunication Market by Technology
    • 4.3.1. Machine Learning (ML)
    • 4.3.2. Natural Language Processing (NLP)
    • 4.3.3. Data Analytics
    • 4.3.4. Others (AI-Enhanced Virtual Assistants, Reinforcement Learning, and Network Function Virtualization
  • 4.4. Global Artificial Intelligence (AI) in Telecommunication Market by Application
    • 4.4.1. Customer Analytics
    • 4.4.2. Network Security
    • 4.4.3. Network Optimization
    • 4.4.4. Self-Diagnostics
    • 4.4.5. Virtual Assistance
    • 4.4.6. Others (Data Traffic Forecasting, and Fraud Detection)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Google
  • 6.2. H2O.ai, Inc.
  • 6.3. IBM Corp.
  • 6.4. Infosys Ltd.
  • 6.5. Intel
  • 6.6. Microsoft
  • 6.7. NetCracker Technology Corp.
  • 6.8. Nokia
  • 6.9. Nuance Communications, Inc.,
  • 6.10. NVIDIA Corp.
  • 6.11. Salesforce, Inc.

LIST OF TABLES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 2. GLOBAL SOLUTION ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL SERVICE ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 5. GLOBAL ON-PREMISE BASED ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL CLOUD-BASED ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 8. GLOBAL MACHINE LEARNING IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL NLP IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL DATA ANALYTICS IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL OTHER TECHNOLOGIES IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 13. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR CUSTOMER ANALYTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR NETWORK SECURITY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR NETWORK OPTIMIZATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR SELF-DIAGNOSTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR VIRTUAL ASSISTANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR OTHERS APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 20. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 21. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 22. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 23. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 24. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 25. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 26. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 27. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 28. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 29. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 30. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 31. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 32. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 33. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY , 2022-2030 ($ MILLION)
  • 34. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 35. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 37. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 38. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY COMPONENT, 2022 VS 2030 (%)
  • 2. GLOBAL SOLUTION ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL SERVICE ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY DEPLOYMENT MODEL, 2022 VS 2030 (%)
  • 5. GLOBAL ON-PREMISE BASED ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL CLOUD-BASED ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY TECHNOLOGY, 2022 VS 2030 (%)
  • 8. GLOBAL MACHINE LEARNING IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL NLP IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL DATA ANALYTICS IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL OTHER TECHNOLOGIES IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY APPLICATION, 2022 VS 2030 (%)
  • 13. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR CUSTOMER ANALYTICS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR NETWORK SECURITY MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR NETWORK OPTIMIZATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR SELF-DIAGNOSTICS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR VIRTUAL ASSISTANCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION FOR OTHERS APPLICATIONS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 20. US ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. CANADA ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. UK ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. FRANCE ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. ITALY ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. SPAIN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. INDIA ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. CHINA ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. JAPAN ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET SIZE, 2022-2030 ($ MILLION)