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市場調查報告書
商品編碼
2037333

智慧網路通訊市場：預測（至 2034 年）－按元件、服務類型、部署方式、網路類型、應用、最終使用者和地區分類的全球分析

Telecom Intelligent Network Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software, and Services), Service Type, Deployment Mode, Network Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2026 年全球智慧通訊網路市場規模將達到 72 億美元，預計在預測期內將以 20.9% 的複合年成長率成長，到 2034 年將達到 328 億美元。

智慧通訊網路是指服務供應商，從而最佳化網路效能、降低營運成本並提高用戶體驗品質 (QoE)。

實施人工智慧驅動的網路自動化

通訊業者對人工智慧和機器學習平台的投資，使得網路自主管理、故障預測和動態流量最佳化成為可能，加速了智慧網路基礎設施的部署。 5G網路密度的不斷提高、多接入邊緣運算（MAEC）的部署以及海量物聯網設備的連接，都帶來了傳統基於規則的系統無法有效應對的營運管理挑戰。因此，營運商被迫採用融合即時分析和自動化決策能力的智慧網路解決方案，以在控制不斷上漲的營運成本的同時，維持服務品質。

傳統網路整合的複雜性

通訊業者維護龐大的傳統網路基礎設施，包括電路交換語音平台、傳統OSS/BSS系統和專有網路設備，在部署需要與現有基礎設施投資互通性的智慧網路解決方案時，面臨著巨大的技術整合挑戰。傳統網路智慧化帶來的高度整合複雜性、漫長的部署週期以及大量的專業服務需求，造成了預算限制和專案風險，從而延緩了高度依賴大規模現有基礎設施的營運商採用智慧網路的進程。

轉變網路即服務 (NaaS)經營模式

通訊業者利用智慧網路能力，透過雲端以「網路即服務 (NaaS)」的形式向企業客戶提供可程式設計網路資源和自動化服務配置，從而抓住重大商機，持續創造託管業務收益。智慧網路平台使營運商能夠透過性能保障服務等級協定 (SLA)、自動化網路切片和即時品質保證等方式實現服務差異化，隨著企業對應用感知型網路智慧的需求透過數位轉型計畫不斷成長，這些平台為營運商提供了超越普通連接服務的溢價機會。

雲端服務供應商之間的網路智慧競爭

超大規模資料中心業者雲端服務供應商正透過軟體定義廣域網路 (SD-WAN) 解決方案、雲端原生網路管理工具和人工智慧驅動的連線最佳化服務，直接向企業客戶擴展其網路智慧平台產品，進而對通訊業者的業務收益構成競爭壓力。雲端服務供應商在人工智慧基礎設施、全球網路營運和企業軟體整合方面的技術能力，使其能夠提供可靠的替代性智慧網路服務，從而繞過通訊業者在企業市場領域提供的傳統智慧網路價值提案。

新冠疫情的影響：

在住宅寬頻和企業遠端存取基礎設施領域，新冠疫情引發的網路流量激增凸顯了智慧網路自動化在即時管理網路容量方面的重要性，而無需相應增加維運人員。疫情後企業數位轉型加速發展，需要可靠、高效能的網路連接，並具備自動化的服務等級協定 (SLA) 保障和主動故障管理功能。這持續推動通訊業者加大對智慧網路平台的投資，並在企業客戶群中部署託管服務。

在預測期內，雲端/SaaS 採用領域預計將佔據最大佔有率。

預計在預測期內，雲端/SaaS領域將佔據最大的市場佔有率。這主要歸功於商業性對基於訂閱的智慧網路平台產品的普遍偏好。這種模式無需前期資本投入，縮短了部署時間，並透過雲端原生架構提供持續的功能更新。通訊業者和企業客戶青睞這種模式，因為它能夠滿足智慧網路分析、自動化編配以及需要彈性擴展運算資源的AI驅動最佳化等工作負載的需求。

預計在預測期內，軟體定義網路 (SDN) 領域將呈現最高的複合年成長率。

在預測期內，軟體定義網路 (SDN) 領域預計將呈現最高的成長率。這主要是由於通訊業者正從以專有硬體為中心的網路架構轉向軟體定義基礎設施。該基礎設施可程式設計集中式可程式控制、自動化網路配置和動態流量工程功能，為在營運商級網路環境中部署全面的智慧網路自動化和人工智慧驅動的最佳化奠定了基礎。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國主要通訊業者（如AT&T、Verizon和T-Mobile）部署了先進的智慧網路自動化平台來管理其5G網路的複雜性；企業對人工智慧驅動的網路效能最佳化有著強勁的需求；以及對專注於電信領域的人工智慧和機器學習軟體公司進行了大量風險投資和策略投資，這些公司正在開發智慧下一代網路平台解決方案。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於中國、日本、韓國和印度大規模部署5G網路智慧自動化項目；人口密集的都市區電信基礎設施對人工智慧驅動的網路最佳化需求迅速成長；以及各國政府大力推動數位基礎設施建設，這些因素共同營造了有利於亞洲主要電信市場加速採用智慧網路技術的政策環境。

免費客製化服務：

訂閱本報告的用戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他公司（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣量身定做的主要國家/地區的市場估算、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 成長要素、挑戰與機遇
  • 競爭格局概述
  • 戰略考慮和建議

第2章：分析框架

  • 分析的目標和範圍
  • 相關人員分析
  • 分析的前提條件與限制
  • 分析方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 科技與創新趨勢
  • 新興市場和高成長市場
  • 監管和政策環境
  • 感染疾病的影響及恢復前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商議價能力
    • 買方的議價能力
    • 替代產品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球通訊智慧網路市場：按組件分類

  • 硬體
    • 伺服器
    • 路由器和交換機
    • 網路基礎設施設備
  • 軟體
    • 網路管理平台
    • 人工智慧/分析引擎
    • 自動化和編配工具
  • 服務
    • 諮詢服務
    • 實施與整合
    • 託管服務
    • 支援和維護

第6章 全球智慧網路通訊市場：依服務類型分類

  • 免費電話服務
  • 高級費率服務
  • VPN（虛擬私人網路）服務
  • UPT (Universal Personal Telecommunications)
  • 替代收費服務

第7章 全球智慧網路通訊市場：依部署方式分類

  • 現場
  • 雲/SaaS
  • 混合實現

第8章 全球智慧網路通訊市場：依網路類型分類

  • AIN（高級智慧網路）
  • NGN（下一代網路）
  • SDN（軟體定義網路）
  • NFV（網路功能虛擬化）
  • 5G智慧網路

第9章 全球智慧網路通訊市場：依應用領域分類

  • 資訊感知
  • 交通預測與分類
  • 資源管理與網路最佳化
  • 效能預測和配置推斷
  • 網路安全與完整性管理
  • 收費和客戶管理
  • 內容傳送和流量管理

第10章 全球智慧網路通訊市場：依最終用戶分類

  • 電信服務供應商
  • 雲端服務供應商
  • 託管網路服務供應商
  • 公司
  • 政府/公共部門

第11章 全球通訊智慧網路市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 產業加值網路與供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 企業合併（M&A）
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Cisco Systems, Inc.
  • Huawei Technologies Co., Ltd.
  • Telefonaktiebolaget LM Ericsson
  • Nokia Corporation
  • Juniper Networks, Inc.
  • Hewlett Packard Enterprise Company
  • Dell Technologies Inc.
  • Ciena Corporation
  • International Business Machines Corporation（IBM）
  • ZTE Corporation
  • Fujitsu Limited
  • NEC Corporation
  • Samsung Electronics Co., Ltd.
  • Arista Networks, Inc.
  • Ribbon Communications Inc.
Product Code: SMRC35745

According to Stratistics MRC, the Global Telecom Intelligent Network Market is accounted for $7.2 billion in 2026 and is expected to reach $32.8 billion by 2034 growing at a CAGR of 20.9% during the forecast period. Telecom intelligent network refers to advanced network architecture solutions and managed services encompassing AI-driven automation platforms, machine learning analytics engines, and software-defined control systems deployed across telecommunications infrastructure to enable real-time network decision-making, predictive maintenance, dynamic resource allocation, and autonomous service provisioning that optimize network performance, reduce operational costs, and enhance subscriber quality of experience across fixed, mobile, and converged telecommunications networks operated by service providers.

Market Dynamics:

Driver:

AI-Driven Network Automation Adoption

Telecommunications operator investment in artificial intelligence and machine learning platforms enabling autonomous network management, predictive fault resolution, and dynamic traffic optimization is accelerating intelligent network infrastructure deployment. Growing network complexity from 5G densification, multi-access edge computing rollout, and massive IoT device connectivity creating operational management challenges that conventional rule-based systems cannot address efficiently, compelling operators to deploy intelligent network solutions incorporating real-time analytics and automated decision-making capabilities to maintain service quality while controlling operational expenditure growth.

Restraint:

Legacy Network Integration Complexity

Telecommunications operators maintaining extensive legacy network infrastructure including circuit-switched voice platforms, traditional OSS/BSS systems, and proprietary network equipment face significant technical integration challenges when deploying intelligent network solutions that require interoperability with existing infrastructure investments. High integration complexity, extended deployment timelines, and substantial professional services requirements for legacy network intelligent transformation create budget constraints and project risk that slow intelligent network adoption among operators with large installed base infrastructure dependencies.

Opportunity:

Network-as-a-Service Business Model Transformation

Telecommunications operators leveraging intelligent network capabilities to deliver programmable network resources and automated service provisioning as cloud-delivered network-as-a-service offerings to enterprise customers represent substantial commercial opportunity for recurring managed service revenue generation. Intelligent network platforms enabling operator service differentiation through guaranteed performance SLAs, automated network slicing, and real-time quality assurance create premium pricing opportunities beyond commodity connectivity as enterprise demand for application-aware network intelligence grows across digital transformation initiatives.

Threat:

Cloud Provider Network Intelligence Competition

Hyperscaler cloud providers expanding network intelligence platform offerings directly to enterprise customers through software-defined wide area networking solutions, cloud-native network management tools, and AI-powered connectivity optimization services create competitive pressure on telecommunications operator intelligent network managed service revenue streams. Cloud provider technical capabilities in AI infrastructure, global network operations, and enterprise software integration enabling credible intelligent network service alternatives that bypass traditional operator intelligent network value propositions in enterprise market segments.

Covid-19 Impact:

COVID-19 pandemic-driven network traffic surge across residential broadband and enterprise remote access infrastructure validated the operational necessity of intelligent network automation for real-time capacity management without proportional operations staffing increases. Post-pandemic enterprise digital transformation acceleration requiring reliable, high-performance network connectivity with automated SLA assurance and proactive fault management continues driving telecom operator intelligent network platform investment and managed service deployment across enterprise customer segments.

The Cloud / SaaS Deployment segment is expected to be the largest during the forecast period

The Cloud / SaaS segment is expected to account for the largest market share during the forecast period, due to the dominant commercial preference for subscription-based intelligent network platform delivery eliminating upfront capital expenditure, accelerating deployment timelines, and providing continuous feature updates through cloud-native architecture that telecommunications operators and enterprise customers favor for intelligent network analytics, automated orchestration, and AI-driven optimization workloads requiring elastic compute resource scaling.

The Software-Defined Networking (SDN) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Software-Defined Networking (SDN) segment is predicted to witness the highest growth rate, driven by telecommunications operator migration from proprietary hardware-centric network architectures to software-defined infrastructure enabling centralized programmable control, automated network configuration, and dynamic traffic engineering capabilities that form the foundational layer for deploying comprehensive intelligent network automation and AI-driven optimization across carrier-grade network environments.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to leading United States telecommunications operators including AT&T, Verizon, and T-Mobile deploying advanced intelligent network automation platforms to manage 5G network complexity, strong enterprise demand for AI-driven network performance optimization, and significant venture and strategic investment in telecom-focused artificial intelligence and machine learning software companies developing next-generation intelligent network platform solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, Japan, South Korea, and India implementing large-scale 5G network intelligent automation programs, rapidly growing demand for AI-driven network optimization across dense urban telecommunications infrastructure, and strong government digital infrastructure mandates creating policy environments favorable for accelerated intelligent network technology deployment across major Asian telecommunications markets.

Key players in the market

Some of the key players in Telecom Intelligent Network Market include Huawei Technologies, Ericsson, Nokia, ZTE Corporation, Cisco Systems, IBM, Accenture, Amdocs, NetCracker Technology, Comverse Technology, Tata Consultancy Services, Tech Mahindra, TEOCO, JDSU (Viavi Solutions), and Subex Limited.

Key Developments:

In March 2026, Nokia introduced an expanded AVA cognitive intelligence platform incorporating large language model capabilities for natural language network operations queries, automated root cause analysis, and predictive capacity planning across multi-vendor 5G and fixed network environments.

In February 2026, Cisco Systems launched an enhanced AI-driven intent-based networking platform for telecommunications operators featuring autonomous policy enforcement, real-time network state analysis, and closed-loop remediation for enterprise managed service deployments.

Components Covered:

  • Hardware
  • Software
  • Services

Service Types Covered:

  • Freephone Services
  • Premium Rate Services
  • Virtual Private Network (VPN) Services
  • Universal Personal Telecommunications
  • Alternative Billing Services

Deployment Modes Covered:

  • On-Premises
  • Cloud / SaaS
  • Hybrid Deployment

Network Types Covered:

  • Advanced Intelligent Network (AIN)
  • Next-Generation Networks (NGN)
  • Software-Defined Networking (SDN)
  • Network Functions Virtualization (NFV)
  • 5G Intelligent Networks

Applications Covered:

  • Information Cognition
  • Traffic Prediction & Classification
  • Resource Management & Network Optimization
  • Performance Prediction & Configuration Extrapolation
  • Network Security & Integrity Management
  • Billing & Customer Management
  • Content Delivery & Traffic Management

End Users Covered:

  • Telecom Service Providers
  • Cloud Service Providers
  • Managed Network Service Providers
  • Enterprises
  • Government & Public Sector

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 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Telecom Intelligent Network Market, By Component

  • 5.1 Hardware
    • 5.1.1 Servers
    • 5.1.2 Routers & Switches
    • 5.1.3 Network Infrastructure Equipment
  • 5.2 Software
    • 5.2.1 Network Management Platforms
    • 5.2.2 AI & Analytics Engines
    • 5.2.3 Automation & Orchestration Tools
  • 5.3 Services
    • 5.3.1 Consulting Services
    • 5.3.2 Deployment & Integration
    • 5.3.3 Managed Services
    • 5.3.4 Support & Maintenance

6 Global Telecom Intelligent Network Market, By Service Type

  • 6.1 Freephone Services
  • 6.2 Premium Rate Services
  • 6.3 Virtual Private Network (VPN) Services
  • 6.4 Universal Personal Telecommunications
  • 6.5 Alternative Billing Services

7 Global Telecom Intelligent Network Market, By Deployment Mode

  • 7.1 On-Premises
  • 7.2 Cloud / SaaS
  • 7.3 Hybrid Deployment

8 Global Telecom Intelligent Network Market, By Network Type

  • 8.1 Advanced Intelligent Network (AIN)
  • 8.2 Next-Generation Networks (NGN)
  • 8.3 Software-Defined Networking (SDN)
  • 8.4 Network Functions Virtualization (NFV)
  • 8.5 5G Intelligent Networks

9 Global Telecom Intelligent Network Market, By Application

  • 9.1 Information Cognition
  • 9.2 Traffic Prediction & Classification
  • 9.3 Resource Management & Network Optimization
  • 9.4 Performance Prediction & Configuration Extrapolation
  • 9.5 Network Security & Integrity Management
  • 9.6 Billing & Customer Management
  • 9.7 Content Delivery & Traffic Management

10 Global Telecom Intelligent Network Market, By End User

  • 10.1 Telecom Service Providers
  • 10.2 Cloud Service Providers
  • 10.3 Managed Network Service Providers
  • 10.4 Enterprises
  • 10.5 Government & Public Sector

11 Global Telecom Intelligent Network Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Cisco Systems, Inc.
  • 14.2 Huawei Technologies Co., Ltd.
  • 14.3 Telefonaktiebolaget LM Ericsson
  • 14.4 Nokia Corporation
  • 14.5 Juniper Networks, Inc.
  • 14.6 Hewlett Packard Enterprise Company
  • 14.7 Dell Technologies Inc.
  • 14.8 Ciena Corporation
  • 14.9 International Business Machines Corporation (IBM)
  • 14.10 ZTE Corporation
  • 14.11 Fujitsu Limited
  • 14.12 NEC Corporation
  • 14.13 Samsung Electronics Co., Ltd.
  • 14.14 Arista Networks, Inc.
  • 14.15 Ribbon Communications Inc.

List of Tables

  • Table 1 Global Telecom Intelligent Network Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Telecom Intelligent Network Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Telecom Intelligent Network Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Telecom Intelligent Network Market Outlook, By Servers (2023-2034) ($MN)
  • Table 5 Global Telecom Intelligent Network Market Outlook, By Routers & Switches (2023-2034) ($MN)
  • Table 6 Global Telecom Intelligent Network Market Outlook, By Network Infrastructure Equipment (2023-2034) ($MN)
  • Table 7 Global Telecom Intelligent Network Market Outlook, By Software (2023-2034) ($MN)
  • Table 8 Global Telecom Intelligent Network Market Outlook, By Network Management Platforms (2023-2034) ($MN)
  • Table 9 Global Telecom Intelligent Network Market Outlook, By AI & Analytics Engines (2023-2034) ($MN)
  • Table 10 Global Telecom Intelligent Network Market Outlook, By Automation & Orchestration Tools (2023-2034) ($MN)
  • Table 11 Global Telecom Intelligent Network Market Outlook, By Services (2023-2034) ($MN)
  • Table 12 Global Telecom Intelligent Network Market Outlook, By Consulting Services (2023-2034) ($MN)
  • Table 13 Global Telecom Intelligent Network Market Outlook, By Deployment & Integration (2023-2034) ($MN)
  • Table 14 Global Telecom Intelligent Network Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 15 Global Telecom Intelligent Network Market Outlook, By Support & Maintenance (2023-2034) ($MN)
  • Table 16 Global Telecom Intelligent Network Market Outlook, By Service Type (2023-2034) ($MN)
  • Table 17 Global Telecom Intelligent Network Market Outlook, By Freephone Services (2023-2034) ($MN)
  • Table 18 Global Telecom Intelligent Network Market Outlook, By Premium Rate Services (2023-2034) ($MN)
  • Table 19 Global Telecom Intelligent Network Market Outlook, By Virtual Private Network (VPN) Services (2023-2034) ($MN)
  • Table 20 Global Telecom Intelligent Network Market Outlook, By Universal Personal Telecommunications (2023-2034) ($MN)
  • Table 21 Global Telecom Intelligent Network Market Outlook, By Alternative Billing Services (2023-2034) ($MN)
  • Table 22 Global Telecom Intelligent Network Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 23 Global Telecom Intelligent Network Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 24 Global Telecom Intelligent Network Market Outlook, By Cloud / SaaS (2023-2034) ($MN)
  • Table 25 Global Telecom Intelligent Network Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 26 Global Telecom Intelligent Network Market Outlook, By Network Type (2023-2034) ($MN)
  • Table 27 Global Telecom Intelligent Network Market Outlook, By Advanced Intelligent Network (AIN) (2023-2034) ($MN)
  • Table 28 Global Telecom Intelligent Network Market Outlook, By Next-Generation Networks (NGN) (2023-2034) ($MN)
  • Table 29 Global Telecom Intelligent Network Market Outlook, By Software-Defined Networking (SDN) (2023-2034) ($MN)
  • Table 30 Global Telecom Intelligent Network Market Outlook, By Network Functions Virtualization (NFV) (2023-2034) ($MN)
  • Table 31 Global Telecom Intelligent Network Market Outlook, By 5G Intelligent Networks (2023-2034) ($MN)
  • Table 32 Global Telecom Intelligent Network Market Outlook, By Application (2023-2034) ($MN)
  • Table 33 Global Telecom Intelligent Network Market Outlook, By Information Cognition (2023-2034) ($MN)
  • Table 34 Global Telecom Intelligent Network Market Outlook, By Traffic Prediction & Classification (2023-2034) ($MN)
  • Table 35 Global Telecom Intelligent Network Market Outlook, By Resource Management & Network Optimization (2023-2034) ($MN)
  • Table 36 Global Telecom Intelligent Network Market Outlook, By Performance Prediction & Configuration Extrapolation (2023-2034) ($MN)
  • Table 37 Global Telecom Intelligent Network Market Outlook, By Network Security & Integrity Management (2023-2034) ($MN)
  • Table 38 Global Telecom Intelligent Network Market Outlook, By Billing & Customer Management (2023-2034) ($MN)
  • Table 39 Global Telecom Intelligent Network Market Outlook, By Content Delivery & Traffic Management (2023-2034) ($MN)
  • Table 40 Global Telecom Intelligent Network Market Outlook, By End User (2023-2034) ($MN)
  • Table 41 Global Telecom Intelligent Network Market Outlook, By Telecom Service Providers (2023-2034) ($MN)
  • Table 42 Global Telecom Intelligent Network Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 43 Global Telecom Intelligent Network Market Outlook, By Managed Network Service Providers (2023-2034) ($MN)
  • Table 44 Global Telecom Intelligent Network Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 45 Global Telecom Intelligent Network Market Outlook, By Government & Public Sector (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.