2024 年至 2031 年按應用程式、最終用戶和地區劃分的智慧網路市場

2024 年至 2031 年智慧網路市場評估

在技術發展、客戶期望變化以及提高網路效率和安全性的迫切需求等因素的推動下，智慧網路產業正在經歷快速成長。智慧網路結合人工智慧 (AI)、機器學習 (ML) 和進階資料分析等新興技術，正在改變跨產業資料傳輸、管理和保護的方式。這種顛覆性影響將波及通訊、IT 和服務、醫療保健、汽車等許多嚴重依賴彈性和適應性網路基礎設施的產業。預計到 2024 年該市場的收入將超過 66.8 億美元，到 2031 年估值將達到約 398.6 億美元。

需求的成長主要是由於資料消耗的急劇增長和連網設備的激增。物聯網 (IoT) 的引入導致連網設備數量大幅增加，從智慧家庭設備到工業感測器。這種成長需要先進的網路解決方案來管理和優化數據流量，以避免擁塞，確保順暢的連接並保持高水準的效能。傳統的網路基礎設施往往不適合處理如此動態和大規模的資料流，因此智慧網路至關重要，預計2024年至2031年期間市場將以25%的複合年增長率成長。

智慧型網路市場定義/概述

智慧型網路 (IN) 是一種複雜的通訊架構，它透過提供超越基本呼叫路由和語音傳輸的高級服務和功能來改善標準電話網路。 IN 的理念最早在 20 世紀 80 年代提出，旨在透過將服務邏輯與底層交換架構分離，使通訊網路更加靈活、動態、更能回應消費者的需求。這種解耦使得無需改變底層網路硬體即可快速開發和部署新服務，在可擴展性、可維護性和創造力方面具有顯著的優勢。

智慧型網路的一個主要應用是呼叫管理服務。這些服務包括呼叫轉移、呼叫篩選和呼叫等待，並且是集中管理的，而不是在單獨的交換節點進行管理。營運商可以利用IN架構的業務控制點（SCP）更有效率、更靈活地提供這些功能。這種集中管理還可以實現更高級的服務，例如企業虛擬私人網路 (VPN)，它可以動態建立和維護以滿足組織不斷變化的需求。

未來智慧網路的使用預計將改變我們的數位和實體環境的許多元素。從通訊和醫療保健到智慧城市和工業自動化，人工智慧、機器學習和物聯網與網路基礎設施的整合有望提高效率、可靠性和用戶體驗。隨著這些技術的進步，智慧網路將在推動創新、改善生活品質和促進永續發展方面發揮關鍵作用。充分發揮智慧網路潛力的旅程正在進行中，它將對整個社會產生影響，開啟一個全新的互聯互通和智慧自動化時代。

電信領域的智慧網路採用將如何推動智慧網路市場？

近年來，由於對先進通訊服務的需求不斷增長以及對更高效的網路管理的需求，智慧網路在通訊中的應用顯著增加。智慧網路可以自動執行許多網路任務，改變了電信公司營運網路的方式。智慧網路的主要優勢之一是它能夠自動執行呼叫路由和管理任務，從而使營運商能夠快速輕鬆地向其客戶推出新服務。這種自動化消除了人工幹預，減少了錯誤和營運成本，同時加速了新服務的推出。

現代通訊網路日益複雜，再加上設備的激增和對高頻寬應用的不斷增長的需求，需要更複雜的網路管理方法。智慧型網路由於其不斷增強的功能，非常適合解決此類問題。智慧網路使得營運商能夠更好地管理其網絡，以滿足客戶需求，同時保持較高的服務品質和效能。

隨著通訊服務升級、網路管理效率提高、營運成本降低等需求，通訊領域正逐步採用智慧網路。將人工智慧、機器學習、虛擬化和 SDN 技術融入智慧網絡，顯著提高了其功能，包括自我優化、自我修復和提高靈活性。這些發展對於解決當今日益複雜且效能要求高的通訊網路問題至關重要。因此，智慧網路將在通訊環境中發揮越來越重要的作用，使營運商能夠為其客戶提供更好的服務，同時保持營運效率和成本效益。

高部署成本、資料技術限制阻礙智慧網路市場發展？

採用智慧網路解決方案對網路營運商來說是一個里程碑，帶來了效能、安全性和管理效率的提升。然而，這種改變也存在問題，其中最大的問題就是成本高昂。這些解決方案需要在硬體、軟體以及管理和維護這些複雜系統的人力上進行大量投資。這種巨大的初始成本可能是採用的一大障礙，特別是對於資本有限的小型企業。對於此類營運商來說，投資尖端技術的財務負擔可能過高，迫使他們選擇不太先進但更經濟的網路方案。

這種整合的複雜性和所需的資源可能令人望而生畏，尤其是對於沒有大型技術團隊或財務靈活性來聘請外部專家的小型企業而言。遷移期間遇到的任何停機或效能問題都可能對營運商的服務品質和客戶滿意度產生嚴重影響。

智慧網路解決方案預計在網路管理和效能方面取得進步，但其採用受到巨大的財務、技術和營運障礙的阻礙。硬體、軟體和勞動力成本高、即時數據處理的限制以及將新系統整合到現有基礎設施的複雜性是採用的主要障礙。這些限制對中小企業的影響尤其嚴重，它們必須仔細權衡潛在的回報與所需的大量支出和資源。因此，受營運商對這些複雜問題的謹慎態度的影響，智慧網路市場的發展軌跡受到限制。

目錄

第 1 章 全球智慧網路市場：簡介

市場概況
• 研究範圍
• 先決條件

第 2 章執行摘要

第 3 章：經過驗證的市場研究方法

• 資料探勘
• 驗證
• 主要來源
• 資料來源列表

第四章 全球智慧網路市場展望

• 概述
• 市場動態
  • 驅動程式
  • 阻礙因素
  • 機會
• 波特五力模型
• 價值鏈分析

第 5 章 全球智慧網路市場（按應用）

• 概述
• 資訊意識
• 流量預測與分類
• 資源管理與網路招聘
• 效能預測與配置推斷

6. 全球智慧網路市場（依最終用戶劃分）

• 概述
• 通訊服務提供者
• 雲端服務供應商 託管網路服務供應商
• 其他公司

7. 全球智慧網路市場（按區域）

• 概述
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 其他歐洲國家
  亞太地區
  • 中國
  • 日本
  • 印度
  • 其他亞太地區
• 世界其他地區
  • 拉丁美洲
  • 中東和非洲

第八章 全球智慧網路市場：競爭格局

• 概述
• 各公司的市場排名
• 主要發展策略

第九章 公司簡介

• Cisco Systems
• Huawei Technologies
• Ericsson
• Tech Mahindra Limited
• Aruba Networks
• Nokia Corporation
• Juniper Networks
• Colt Technology Services
• Netcracker Inc.
• Sandvine

第 10 章附錄

• 相關研究

Intelligent Network Market Valuation - 2024-2031

The intelligent network industry is seeing significant growth driven by a convergence of technology developments, changing customer expectations, and the pressing need for improved network efficiency and security. Intelligent networks which combine modern technologies such as artificial intelligence (AI), machine learning (ML), and sophisticated data analytics are transforming the way data is delivered, managed, and secured across several industries. This disruptive impact is being felt in telecommunications, IT services, healthcare, automotive, and a variety of other industries that rely significantly on resilient and adaptable network infrastructure by enabling the market to surpass a revenue of USD 6.68 Billion valued in 2024 and reach a valuation of around USD 39.86 Billion by 2031.

The key drivers of this rising demand are the exponential rise of data consumption and the proliferation of connected devices. The introduction of the Internet of Things (IoT) has resulted in a remarkable increase in the number of devices connected to networks ranging from smart household gadgets to industrial sensors. This rise needs sophisticated network solutions that can manage and optimize data traffic to avoid congestion, assure smooth connectivity, and maintain high levels of performance. Traditional network infrastructures are frequently ill-equipped to handle such dynamic and large data flows rendering intelligent networks vital by enabling the market to grow at a CAGR of 25% from 2024 to 2031.

Intelligent Network Market: Definition/ Overview

The Intelligent Network (IN) is a complex telecommunications architecture that improves standard telephone networks by allowing advanced services and capabilities that go beyond basic call routing and voice transmission. The IN idea which was first introduced in the 1980s aimed to make telecommunications networks more flexible, dynamic, and responsive to consumer needs by separating service logic from the underlying switching architecture. This decoupling enables the rapid development and deployment of new services without modifying the underlying network hardware providing considerable benefits in terms of scalability, maintainability, and creativity.

Intelligent Networks principal applications are in call management services. These services include call forwarding, call screening, and call waiting, which are administered centrally rather than by individual switching nodes. Operators can provide these capabilities more efficiently and flexibly by exploiting the IN architecture's service control points (SCPs). This central management also enables more advanced services such as virtual private networks (VPNs) for enterprises which can be dynamically created and maintained to meet the organization's changing requirements.

The future use of Intelligent Networks is expected to transform many elements of our digital and physical environments. From telecoms and healthcare to smart cities and industrial automation, integrating AI, ML, and IoT into network infrastructures promises to improve efficiency, reliability, and user experience. As these technologies advance, Intelligent Networks will play a critical role in driving innovation, increasing quality of life, and promoting sustainable development. The road to fully realize the potential of Intelligent Networks is ongoing and its impact will be felt throughout society ushering in a new era of connectedness and intelligent automation.

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How will Adoption of Intelligent Network in Telecommunication Drive the Intelligent Network Market?

The use of intelligent networks in telecommunications has increased significantly in recent years owing mostly to the growing demand for advanced communication services and the need for improved network management efficiency. Intelligent networks which are meant to automate numerous network tasks have transformed how telecommunications companies operate their networks. One of the primary benefits of intelligent networks is their capacity to automate call routing and administration operations allowing operators to roll out new services to customers fast and easily. This automation eliminates the need for manual intervention lowering errors and operational expenses while accelerating the introduction of new services.

The rising complexity of modern telecommunication networks combined with the proliferation of devices and the growing need for high-bandwidth applications necessitates a more sophisticated approach to networking administration. Intelligent networks with their increased capabilities are ideal for addressing these difficulties. They let operators to better manage their networks ensuring that they can satisfy their customers' needs while maintaining high levels of service quality and performance.

Intelligent networks are being adopted in telecommunications due to the demand for upgraded communication services, increased network management efficiency, and lower operational costs. The incorporation of AI, ML, virtualization, and SDN technologies into intelligent networks has considerably improved their capabilities resulting in self-optimization, self-healing, and increased agility. These developments are critical in solving the issues of current telecommunication networks which are becoming increasingly complicated and demanding in terms of performance. As a result, intelligent networks are becoming an increasingly important part of the telecommunications environment allowing operators to provide improved services to their customers while preserving operational efficiency and cost-effectiveness.

How High Deployment Costs and Data Technical Limitations Hamper the Intelligent Network Market?

The implementation of intelligent network solutions represents a watershed moment for network operators offering increased performance, security, and administrative efficiency. However, this change is not without its problems, the most prominent of which being the high expenses involved. These solutions demand significant investment in hardware and software as well as manpower to administer and maintain these advanced systems. This large upfront cost might be a significant obstacle to adoption especially for smaller operators with limited funds. For these operators, the financial burden of investing in cutting-edge technology may be prohibitively expensive forcing them to go with less advanced but more economical network options.

The complexity and resource requirements of this integration can be daunting especially for smaller operators that may lack significant technical teams or the financial flexibility to employ outside expertise. The possibility of integration-related disruptions can also be a major deterrent as any downtime or performance issues during the transition might have serious consequences for the operator's service quality and customer satisfaction.

Intelligent network solutions provide promise advances in network management and performance but their implementation is hampered by severe financial, technical, and operational hurdles. The high costs of hardware, software, and personnel combined with limits in real-time data processing and the complexities of integrating new systems into existing infrastructure provide significant barriers to adoption. These limits disproportionately affect smaller firms who must carefully weigh the potential rewards against the significant expenditure and resources necessary. As a result, the intelligent network market is on a constrained development trajectory affected by operators' cautious approach to handling these complex problems.

Category-Wise Acumens

Will Increasing Need for Networking Operations Drive the Application Segment?

The information cognition market is expected to increase significantly during the projected period driven by an increasing demand for improved data collection and analysis capabilities in networking operations. Information cognition refers to the sophisticated procedures and technology used to acquire, store, analyze, and interpret data in order to comprehend and manage complex networking settings. This market expansion is being driven by a number of factors including the increasing volume of data generated by networking activities, the increasing complexity of network infrastructures, and the growing demand for real-time data processing and analysis.

The increasing adoption of advanced networking technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and the Internet of Things (IoT) contributes to the growing demand for information cognition in networking operations. These technologies add levels of complexity to network administration needing more advanced data collection and analysis tools. Information cognition solutions allow network administrators to collect and interpret enormous amounts of data in real time resulting in actionable insights that improve decision-making processes.

The information cognition market is expected to increase significantly during the projected period driven by an increasing demand for sophisticated data collection and analysis capabilities in networking operations. The growth of complicated networking technologies, the growing threat of cyber-attacks, the push for network automation, and the overall trend of digital transformation are all driving this demand. As enterprises traverse the intricacies of today's network settings, information cognition will play an increasingly important role in maintaining efficient, secure, and dependable network operations.

Will the Increasing Demand for Massive Integrated Network Infrastructure Drive the End-User Segment?

The cloud service providers market is expected to develop at an unparalleled rate during the projected period owing to a number of strategic efforts and technology advancements aimed at improving worldwide connection and service delivery. The growing demand for digital transformation across businesses has prompted cloud service providers to aggressively expand their infrastructure. This growth is primarily driven by the creation of new data centers throughout the world which serve as the foundation for offering cloud-based services with low latency. The spread of these data centers is about more than simply improving service quality, it is also about meeting end users growing expectations for seamless and speedy access to apps and content.

The increasing deployment of 5G technology is expected to boost demand for cloud services. 5G provides much higher data transfer rates and lower latency than previous generations of mobile networks. This innovation expands the potential for cloud-based applications particularly those demanding real-time data processing and high bandwidth such as augmented reality (AR), virtual reality (VR), and self-driving cars. Cloud service providers are expected to play a critical role in the 5G ecosystem by providing the infrastructure and services required to support these sophisticated applications.

The cloud service provider's category is seeing tremendous growth driven by rising demand for digital transformation, the expansion of global data center networks, and the adoption of new technologies. Critical elements driving this growth include efforts to reduce latency through smart data center location, the deployment of vast integrated network infrastructures, and the implementation of advanced network management and security measures.

Country/Region-wise Acumens

Will the Adoption of Innovative Technologies Such as Deep Learning and Virtualization of Network Drive the Market in North America?

North America is expected to dominate the intelligent network market over the projected period owing to its strong technological infrastructure and rapid adoption of cutting-edge advancements. The region's significant investment in innovative technologies such as deep learning, analytics, and network virtualization reinforces its global market leadership. Several causes have contributed to the increase in intelligent network adoption in North America, the most notable of which is the rapid development and deployment of deep learning technology.

The proliferation of IoT applications across a variety of industries including healthcare, manufacturing, and transportation highlights the need for intelligent networks. IoT devices generate massive volumes of data that must be processed and analyzed in real-time necessitating extremely efficient and scalable network solutions. Intelligent networks provide the essential infrastructure to enable these applications allowing for real-time data processing and decision-making.

North America's dominant position in the intelligent network market is due to the increasing adoption of novel technologies such as deep learning, analytics, and network virtualization. These technologies lay the groundwork for innovative, efficient, and scalable network systems that can handle the increasing need for high-speed connectivity and real-time data processing. North America is well-positioned to maintain its dominance in the global intelligent network environment over the projection period, thanks to a strong technology ecosystem and proactive regulatory frameworks.

Will the Increasing Government Activities Boost the Asia Pacific Region?

The Asia-Pacific region is expected to experience a considerable increase in revenue growth over the forecast period owing to a combination of factors creating unparalleled momentum in the area. Key among these causes is the growing involvement of governments from across Asia Pacific combined with strategic initiatives sponsored by key market players. This convergence of government drive and private sector dynamism is transforming Asia Pacific's economic environment, propelling it into an era of unprecedented growth and innovation.

The Asia Pacific region has emerged as a strategic hub for multinational firms and significant market players seeking to expand and invest. Recognizing the enormous growth potential of Asia Pacific's dynamic emerging markets, businesses are increasingly investing resources and capital to build a strong presence in the region. Market leaders in a variety of industries from technology and healthcare to consumer goods and automotive are actively expanding their operations releasing innovative products, and forming strategic alliances to capitalize on the enormous prospects offered by Asia Pacific markets.

The Asia Pacific market is expected to grow and expand at an unprecedented rate during the forecast period owing to a combination of factors such as proactive government initiatives, strategic investments by key market players, technological advancements, changing consumer dynamics, and favorable regulatory frameworks. As the region continues to rise as a global economic powerhouse, firms and investors alike are well-positioned to benefit on the numerous opportunities afforded by this dynamic and vibrant market environment.

Competitive Landscape

The intelligent network market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions and political support. The organizations focus on innovating their product line to serve the vast population in diverse regions.

Some of the prominent players operating in the intelligent network market include:

Cisco Systems

Ericsson

Juniper Networks

Huawei Technologies

Nokia Corporation

Hewlett-Packard Company

Orange S.A.

Tech Mahindra Limited

Colt Technology Services

Sandvine

Netcracker, Inc.

Latest Developments

In September 2021, Mavenir, a network software supplier, has announced the next-generation Operations Support System (ngOSS), a new component of the MAVscale platform. This new solution enables Communication Service Providers (CSPs) to use ngOSS in their 4G networks while also preparing for the full potential of 5G capabilities through intelligent network operations. This is accomplished by using a potent combination of Artificial Intelligence (AI), Analytics, Automation, and Orchestration, backed up by Mavenir's experience delivering telecom network solutions.

In September 2022, Huawei announced increased capabilities for its Intelligent Cloud-Network Solution, which were created to meet the changing needs of clients and include three key scenarios: CloudFabric, CloudWAN, and CloudCampus. Huawei also released a white paper on wireless intelligent networks to assist enterprises with digital innovation.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL INTELLIGENT NETWORK MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL INTELLIGENT NETWORK MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL INTELLIGENT NETWORK MARKET, BY APPLICATION

• 5.1 Overview
• 5.2 Information Cognition
• 5.3 Traffic Prediction and Classification
• 5.4 Resource Management and Network Adoption
• 5.5 Performance prediction and Configuration Extrapolation

6 GLOBAL INTELLIGENT NETWORK MARKET, BY END USER

• 6.1 Overview
• 6.2 Telecom Service Providers
• 6.3 Cloud Service Providers
• 6.4 Managed Network Service Providers
• 6.5 Other Enterprises

7 GLOBAL INTELLIGENT NETWORK MARKET, BY GEOGRAPHY

• 7.1 Overview
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
  • 7.2.3 Mexico
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 U.K.
  • 7.3.3 France
  • 7.3.4 Rest of Europe
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Rest of Asia Pacific
• 7.5 Rest of the World
  • 7.5.1 Latin America
  • 7.5.2 Middle East & Africa

8 GLOBAL INTELLIGENT NETWORK MARKET COMPETITIVE LANDSCAPE

• 8.1 Overview
• 8.2 Company Market Ranking
• 8.3 Key Development Strategies

9 COMPANY PROFILES

• 9.1 Cisco Systems
  • 9.1.1 Overview
  • 9.1.2 Financial Performance
  • 9.1.3 Product Outlook
  • 9.1.4 Key Developments
• 9.2 Huawei Technologies
  • 9.2.1 Overview
  • 9.2.2 Financial Performance
  • 9.2.3 Product Outlook
  • 9.2.4 Key Developments
• 9.3 Ericsson
  • 9.3.1 Overview
  • 9.3.2 Financial Performance
  • 9.3.3 Product Outlook
  • 9.3.4 Key Developments
• 9.4 Tech Mahindra Limited
  • 9.4.1 Overview
  • 9.4.2 Financial Performance
  • 9.4.3 Product Outlook
  • 9.4.4 Key Developments
• 9.5 Aruba Networks
  • 9.5.1 Overview
  • 9.5.2 Financial Performance
  • 9.5.3 Product Outlook
  • 9.5.4 Key Developments
• 9.6 Nokia Corporation
  • 9.6.1 Overview
  • 9.6.2 Financial Performance
  • 9.6.3 Product Outlook
  • 9.6.4 Key Developments
• 9.7 Juniper Networks
  • 9.7.1 Overview
  • 9.7.2 Financial Performance
  • 9.7.3 Product Outlook
  • 9.7.4 Key Developments
• 9.8 Colt Technology Services
  • 9.8.1 Overview
  • 9.8.2 Financial Performance
  • 9.8.3 Product Outlook
  • 9.8.4 Key Developments
• 9.9 Netcracker Inc.
  • 9.9.1 Overview
  • 9.9.2 Financial Performance
  • 9.9.3 Product Outlook
  • 9.9.4 Key Developments
• 9.10 Sandvine
  • 9.10.1 Overview
  • 9.10.2 Financial Performance
  • 9.10.3 Product Outlook
  • 9.10.4 Key Developments

10 Appendix

• 10.1 Related Research