インテリジェントネットワーク市場- 世界の産業規模、シェア、動向、機会、予測、セグメント別、サービスタイプ別、企業規模別、エンドユーザー別、地域別、競合、2019年～2029年

インテリジェントネットワークの世界市場規模は2023年に52億3,000万米ドル、予測期間中のCAGRは24.86%で2029年には200億米ドルに達すると予測されています。

インテリジェントネットワーク市場は、通信ネットワークの効率性、柔軟性、パフォーマンスを向上させるために設計された高度なネットワーキング技術とソリューションの範囲を包含しています。この市場の特徴は、人工知能（AI）、機械学習（ML）、ビッグデータ分析、自動化など、さまざまな最先端技術が統合されていることであり、これらの技術が連携することで、変化する状況やユーザーの要求にインテリジェントに適応できるネットワークが構築されます。インテリジェントネットワークは、リアルタイム・データと予測分析を活用して、トラフィック管理を最適化し、リソース割り当てを改善し、堅牢なネットワーク・セキュリティを確保します。AIとMLアルゴリズムを採用することで、これらのネットワークは膨大な量のデータを分析してパターンを特定し、異常を検出し、潜在的な障害を事前に予測することができるため、事前のメンテナンスが可能になり、ダウンタイムが短縮されます。クラウドベースのサービスやモノのインターネット（IoT）デバイスへの依存が高まる中、この機能は特に重要です。インテリジェントネットワーク市場の成長は、企業が高品質のサービスやアプリケーションを顧客に提供しようとする中で、ユーザー・エクスペリエンスを向上させる必要性によっても促進されます。ビデオストリーミング、仮想現実、拡張現実など、帯域幅を多用するアプリケーションの台頭により、ネットワークは最適なパフォーマンスを確保するためにリソースを動的に調整できなければなりません。さらに、5G技術へのシフトは、インテリジェントネットワーキング・ソリューションの需要をさらに高めています。5Gネットワークは、スマートシティ、コネクテッド・ビークル、産業オートメーションなどの多様な使用事例をサポートするため、より高度な管理を必要とするからです。企業がデジタルトランスフォーメーションを受け入れ続ける中、複雑なアプリケーションをサポートし、シームレスな接続性を提供できるネットワークの必要性がますます高まっています。さらに、インテリジェントネットワーク市場は、サイバー脅威が高度化するにつれてネットワーク・セキュリティが重視されるようになり、その恩恵を受けることが期待されます。インテリジェントネットワークは、高度な脅威検知・対応機能を実装することでセキュリティ対策を強化し、企業が機密データを保護し、規制要件へのコンプライアンスを維持することを可能にします。このようなセキュリティへのプロアクティブなアプローチは、データ侵害が深刻な財務的影響や風評被害をもたらしかねない今日のデジタル環境では不可欠です。さらに、ハイブリッドクラウドやマルチクラウド環境の台頭により、さまざまなクラウドサービスやプラットフォームとシームレスに統合できるインテリジェントなネットワーキングソリューションの導入が必要となり、企業はテクノロジーへの投資を最大限に活用できるようになります。全体として、インテリジェントネットワーク市場は、組織がネットワークを設計、管理、最適化する方法における変革的なシフトを意味します。企業が新たなテクノロジーの力を活用して競争力を高めようとする中、インテリジェントネットワーキング・ソリューションの需要は大きく伸びると思われます。多くの企業が研究開発に投資し、企業の新興国市場のニーズに対応する先進的なソリューションを開発しているため、市場は技術革新の時期を迎えています。このように、インテリジェントネットワーク市場は、技術の進歩、データ需要の増加、セキュリティとユーザーエクスペリエンスへの関心の高まりによって、今後数年間で力強い成長が見込まれています。

市場促進要因

ネットワークパフォーマンスの向上に対する需要の高まり

IoTデバイスとアプリケーションの急増

セキュリティ対策強化の必要性

主な市場課題

統合と相互運用性の複雑さ

セキュリティとプライバシーに関する懸念

主な市場動向

AIによる自動化の台頭

ネットワーク・セキュリティ強化の重視

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別（情報認識、トラフィック予測と分類、リソース管理とネットワーク導入、パフォーマンス予測と構成推定）
  • 企業規模別（中小企業・大企業）
  • エンドユーザー別（通信サービスプロバイダー、クラウドサービスプロバイダー、マネージドネットワークサービスプロバイダーなど）
  • 地域別
• 企業別（2023）
• 市場マップ

第6章 北米のインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別
  • 企業規模別
  • エンドユーザー別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別
  • 企業規模別
  • エンドユーザー別
  • 国別
• 欧州：国別分析
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン

第8章 アジア太平洋地域のインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別
  • 企業規模別
  • エンドユーザー別
  • 国別
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 南米のインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別
  • 企業規模別
  • エンドユーザー別
  • 国別
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第10章 中東・アフリカのインテリジェントネットワーク市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • サービスタイプ別
  • 企業規模別
  • エンドユーザー別
  • 国別
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • クウェート
  • トルコ

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

第13章 企業プロファイル

• Cisco Systems, Inc
• Huawei Technologies Co., Ltd.
• Nokia Corporation
• Juniper Networks, Inc.
• NVIDIA Corporation
• Capgemini Services SAS
• Colt Technology Services Group Limited
• Tech Mahindra Limited

第14章 戦略的提言

第15章 調査会社について・免責事項

Global Intelligent Network Market was valued at USD 5.23 billion in 2023 and is expected to reach USD 20.00 billion by 2029 with a CAGR of 24.86% during the forecast period. The Intelligent Network Market encompasses a range of advanced networking technologies and solutions designed to enhance the efficiency, flexibility, and performance of communication networks. This market is characterized by the integration of various cutting-edge technologies, including artificial intelligence (AI), machine learning (ML), big data analytics, and automation, which work together to create networks that can intelligently adapt to changing conditions and user demands. Intelligent networks leverage real-time data and predictive analytics to optimize traffic management, improve resource allocation, and ensure robust network security. By employing AI and ML algorithms, these networks can analyze vast amounts of data to identify patterns, detect anomalies, and predict potential failures before they occur, enabling proactive maintenance and reducing downtime. This capability is particularly critical as organizations increasingly rely on cloud-based services and Internet of Things (IoT) devices, which generate enormous volumes of data that traditional networking solutions may struggle to manage effectively. The growth of the Intelligent Network Market is also driven by the need for improved user experiences, as businesses seek to deliver high-quality services and applications to customers. With the rise of bandwidth-intensive applications such as video streaming, virtual reality, and augmented reality, networks must be capable of dynamically adjusting their resources to ensure optimal performance. Additionally, the shift towards 5G technology is further fueling the demand for intelligent networking solutions, as 5G networks require more sophisticated management to support diverse use cases, including smart cities, connected vehicles, and industrial automation. As businesses continue to embrace digital transformation, the need for networks that can support complex applications and provide seamless connectivity is becoming increasingly important. Furthermore, the Intelligent Network Market is expected to benefit from the growing emphasis on network security, as cyber threats become more sophisticated. Intelligent networks can enhance security measures by implementing advanced threat detection and response capabilities, allowing organizations to safeguard their sensitive data and maintain compliance with regulatory requirements. This proactive approach to security is vital in today's digital landscape, where data breaches can have severe financial and reputational consequences. Moreover, the rise of hybrid and multi-cloud environments necessitates the deployment of intelligent networking solutions that can seamlessly integrate with various cloud services and platforms, enabling organizations to maximize their investments in technology. Overall, the Intelligent Network Market represents a transformative shift in the way organizations design, manage, and optimize their networks. As businesses seek to harness the power of emerging technologies to gain a competitive edge, the demand for intelligent networking solutions is set to grow significantly. The market is poised for innovation, with numerous players investing in research and development to create more advanced solutions that cater to the evolving needs of enterprises. As such, the Intelligent Network Market is expected to see robust growth in the coming years, driven by advancements in technology, increasing data demands, and a heightened focus on security and user experience.

Key Market Drivers

Increasing Demand for Enhanced Network Performance

The rising demand for enhanced network performance is a primary driver for the Intelligent Network Market. Organizations today rely heavily on digital platforms for their operations, which necessitates a robust and efficient network infrastructure capable of handling vast amounts of data traffic. Intelligent networks leverage advanced technologies such as artificial intelligence (AI), machine learning (ML), and analytics to optimize network performance, ensuring low latency, high availability, and seamless connectivity. This is particularly crucial for industries such as finance, healthcare, and telecommunications, where real-time data transmission is essential for operational efficiency and customer satisfaction. Furthermore, as businesses increasingly adopt cloud-based services and Internet of Things (IoT) devices, the complexity of managing these networks grows, highlighting the need for intelligent solutions that can dynamically adjust to changing demands. By utilizing automated processes and predictive analytics, intelligent networks can proactively identify and resolve issues before they impact performance, thereby reducing downtime and improving overall service quality. This heightened focus on performance optimization drives investments in intelligent networking technologies, fueling market growth as organizations seek to enhance their competitive edge in an increasingly digital landscape.

Proliferation of IoT Devices and Applications

The proliferation of Internet of Things (IoT) devices and applications significantly contributes to the growth of the Intelligent Network Market. As more devices become interconnected, the volume of data generated is skyrocketing, creating challenges for traditional network architectures that often struggle to cope with the increased traffic. Intelligent networks are specifically designed to handle the unique demands of IoT ecosystems, enabling efficient data routing, processing, and storage. The integration of AI and ML within these networks allows for intelligent data management, ensuring that critical information is prioritized and transmitted effectively while less important data can be managed with lower bandwidth. Moreover, the ability to analyze data in real-time facilitates immediate decision-making and response, essential for applications such as smart cities, autonomous vehicles, and industrial automation. As organizations continue to deploy IoT solutions to improve operational efficiency and drive innovation, the demand for intelligent networking solutions that can support these initiatives will continue to rise. This trend not only bolsters the Intelligent Network Market but also encourages further advancements in network technologies to accommodate the growing IoT landscape.

Need for Enhanced Security Measures

The escalating need for enhanced security measures is a crucial driver of the Intelligent Network Market. With the rise in cyber threats and data breaches, organizations are prioritizing security as a fundamental aspect of their network infrastructure. Intelligent networks incorporate advanced security protocols and threat detection mechanisms that utilize AI and ML to identify potential vulnerabilities and respond to security incidents in real-time. By leveraging automated threat intelligence and anomaly detection, these networks can proactively safeguard sensitive data and ensure compliance with regulatory requirements. Furthermore, the complexity of modern cyber threats necessitates a more sophisticated approach to security that traditional methods may not provide. Intelligent networks enable organizations to implement multi-layered security strategies, encompassing everything from endpoint protection to data encryption, thereby creating a more resilient network environment. As businesses increasingly recognize the importance of robust security measures in maintaining customer trust and operational continuity, investments in intelligent networking solutions are likely to accelerate, driving market growth. This emphasis on security not only enhances the appeal of intelligent networks but also fosters innovation in security technologies to meet the evolving threat landscape.

Key Market Challenges

Complexity of Integration and Interoperability

One of the foremost challenges facing the intelligent network market is the complexity of integration and interoperability among diverse network components and systems. As organizations increasingly adopt intelligent networking solutions, they encounter significant hurdles in ensuring seamless integration with existing infrastructure and legacy systems. The intelligent network often involves a variety of technologies, including Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and various cloud-based services, each with its own protocols, standards, and operational paradigms. This fragmentation can lead to compatibility issues, resulting in difficulties in deploying new solutions or scaling existing ones. Moreover, organizations may be reluctant to invest in intelligent networking technologies due to concerns over the complexity of transitioning from traditional networking architectures. The integration of disparate systems requires extensive planning, skilled personnel, and considerable financial resources, which can strain budgets and timelines. Additionally, the lack of standardized protocols across different vendors can further complicate integration efforts, leading to potential performance bottlenecks and security vulnerabilities. Businesses must navigate these complexities to realize the full benefits of intelligent networks, which can deter adoption rates and hinder overall market growth.

Security and Privacy Concerns

Another significant challenge in the intelligent network market is the heightened security and privacy concerns associated with increasingly interconnected systems. As intelligent networks integrate advanced technologies such as the Internet of Things (IoT), artificial intelligence, and big data analytics, they become more vulnerable to cyber threats and attacks. The proliferation of connected devices expands the attack surface, making it challenging for organizations to secure all endpoints effectively. Cybercriminals are continually evolving their tactics, targeting vulnerabilities within intelligent networks to gain unauthorized access to sensitive data or disrupt services. This evolving threat landscape necessitates robust security measures, including real-time monitoring, threat detection, and incident response capabilities. However, many organizations lack the resources or expertise to implement comprehensive security strategies, leading to potential gaps in their defenses. Furthermore, stringent regulatory requirements regarding data privacy and protection add another layer of complexity. Organizations must navigate a maze of compliance obligations while ensuring that their intelligent network solutions safeguard personal and sensitive information. Failure to address these security and privacy concerns can result in significant reputational damage, legal ramifications, and financial losses, ultimately impeding the growth and adoption of intelligent networking technologies.

Key Market Trends

Rise of AI-Driven Automation

The Intelligent Network market is increasingly characterized by the rise of AI-driven automation, which is transforming how organizations manage and optimize their network operations. As businesses strive for greater efficiency and agility, integrating artificial intelligence (AI) into network management systems enables real-time data analysis and decision-making. AI algorithms can analyze vast amounts of network traffic data, identify patterns, and predict potential issues before they escalate into significant problems. This proactive approach to network management minimizes downtime and enhances the overall performance of IT infrastructures. Moreover, AI-driven automation allows for the dynamic allocation of network resources, ensuring optimal bandwidth utilization and improved user experiences. The ability to automate routine tasks-such as configuration management, troubleshooting, and performance monitoring-frees up IT staff to focus on strategic initiatives, fostering innovation within organizations. Additionally, AI capabilities enable intelligent threat detection and response, enhancing network security. As cyber threats become increasingly sophisticated, the application of AI in intelligent networks offers robust defense mechanisms that can adapt to evolving threats in real time. This trend is driving organizations to invest in AI-powered solutions, which are expected to be a significant growth driver in the Intelligent Network market over the coming years.

Emphasis on Enhanced Network Security

The emphasis on enhanced network security is a critical trend shaping the Intelligent Network market. As organizations increasingly rely on digital infrastructures, the frequency and sophistication of cyberattacks have escalated, necessitating robust security measures within intelligent networks. This trend is driving the development and integration of advanced security protocols, including zero-trust architectures and AI-based threat detection systems. Intelligent networks are now designed with built-in security features that monitor traffic patterns, detect anomalies, and respond to threats in real time. The adoption of software-defined networking (SDN) and network functions virtualization (NFV) allows organizations to implement more flexible and secure network architectures that can adapt to emerging threats. Furthermore, as regulatory compliance becomes more stringent, businesses are compelled to prioritize security within their network strategies to safeguard sensitive data and maintain customer trust. The integration of advanced encryption methods and secure access controls is becoming standard practice in intelligent networks to protect against unauthorized access and data breaches. This growing focus on security not only helps organizations mitigate risks but also enhances their overall operational resilience. As the landscape of cyber threats continues to evolve, the demand for intelligent network solutions that prioritize security will only intensify, making it a vital area of growth within the market.

Segmental Insights

Service Type Insights

The Information Cognition segment held the largest Market share in 2023. The Intelligent Network market, particularly within the Information Cognition segment, is experiencing robust growth driven by several key factors. As organizations increasingly rely on data to inform decision-making, the need for sophisticated systems that can process, analyze, and derive insights from vast amounts of information has become paramount. Intelligent networks leverage advanced technologies such as artificial intelligence (AI) and machine learning (ML) to enhance data processing capabilities, enabling real-time analysis and predictive insights that are crucial for optimizing operations and improving customer experiences. This demand is further fueled by the exponential growth of data generated from various sources, including IoT devices, social media, and transactional systems, necessitating the implementation of intelligent networks that can efficiently manage and interpret this data influx. Moreover, the rise of digital transformation initiatives across industries is driving organizations to seek innovative solutions that not only streamline operations but also enhance their ability to adapt to changing market conditions. As businesses strive to remain competitive, investing in intelligent networks that provide actionable insights and cognitive capabilities is becoming a strategic imperative. Additionally, the increasing complexity of network environments, characterized by hybrid cloud infrastructures and diverse application ecosystems, underscores the need for intelligent networks that can provide seamless integration and interoperability among various systems. This complexity necessitates the deployment of information cognition technologies that can autonomously manage network resources, detect anomalies, and optimize performance without requiring extensive human intervention.

Regulatory pressures and the growing emphasis on data security are compelling organizations to adopt intelligent networking solutions that ensure compliance while safeguarding sensitive information. The ability of intelligent networks to leverage advanced analytics for threat detection and mitigation adds an additional layer of security, making them a preferred choice for organizations looking to enhance their cybersecurity posture. Additionally, the proliferation of smart devices and the growing trend towards automation in various sectors, including manufacturing, healthcare, and finance, are creating an environment ripe for intelligent network solutions. As these sectors increasingly adopt intelligent systems to improve operational efficiency and enhance service delivery, the Information Cognition segment of the Intelligent Network market is expected to expand significantly. Moreover, advancements in cloud computing and edge computing technologies are providing the necessary infrastructure to support the deployment of intelligent networks. These technologies enable organizations to process data closer to the source, reducing latency and improving the speed of information cognition. As a result, organizations can achieve faster decision-making and more agile responses to market dynamics. In conclusion, the Intelligent Network market within the Information Cognition segment is poised for substantial growth, driven by the increasing demand for advanced data processing capabilities, the complexity of modern network environments, the need for enhanced security measures, and the ongoing digital transformation across industries. By leveraging AI and ML technologies, organizations can harness the power of information cognition to optimize their operations, drive innovation, and maintain a competitive edge in an ever-evolving marketplace.

Regional Insights

North America region held the largest market share in 2023. The Intelligent Network Market in North America is primarily driven by the rapid advancement of technology and the increasing demand for efficient, reliable, and secure networking solutions across various industries. One of the key factors contributing to this growth is the widespread adoption of cloud computing and the need for networks that can support high-speed data transfer and real-time analytics. Businesses are increasingly relying on cloud services for their operations, which necessitates the development of intelligent networks that can dynamically allocate resources and optimize performance based on real-time data traffic. Furthermore, the rise of the Internet of Things (IoT) is significantly impacting the market, as the proliferation of connected devices demands more sophisticated network management solutions. Intelligent networks enable seamless connectivity and communication between these devices, enhancing operational efficiency and enabling new business models. Another major driver is the increasing focus on network security, as organizations face a growing number of cyber threats. Intelligent networking solutions often incorporate advanced security features, such as threat detection and response capabilities, ensuring that data is protected against potential breaches. Additionally, regulatory compliance requirements in various sectors, including healthcare and finance, are pushing organizations to adopt intelligent networks that can ensure data integrity and confidentiality while facilitating compliance with industry standards.

The demand for enhanced customer experiences is also driving the intelligent network market, as businesses seek to leverage data insights to deliver personalized services and improve customer engagement. Intelligent networks enable organizations to analyze customer data in real-time, allowing for more targeted marketing strategies and improved service delivery. Moreover, the growing trend of remote work and the need for flexible working arrangements are prompting organizations to invest in intelligent networking solutions that can support a distributed workforce. These solutions facilitate secure remote access to corporate networks, ensuring that employees can work efficiently from various locations without compromising security. The evolution of 5G technology is another significant factor propelling the intelligent network market in North America. With its promise of ultra-low latency and enhanced capacity, 5G is set to transform networking capabilities, enabling new applications and services that require high-speed connectivity. This evolution creates a demand for intelligent networks that can effectively manage the complexities associated with 5G deployment and optimize performance for various use cases, such as smart cities, autonomous vehicles, and advanced manufacturing. Furthermore, the increasing investments in network infrastructure and digital transformation initiatives by both public and private sectors in North America are fueling market growth. Governments and enterprises are recognizing the importance of upgrading their network capabilities to support innovation and economic growth, leading to increased funding and resources allocated to intelligent networking solutions. As organizations continue to navigate the complexities of digital transformation, the Intelligent Network Market in North America is poised for substantial growth, driven by the confluence of technological advancements, evolving business needs, and an emphasis on security and efficiency. In conclusion, the combination of cloud adoption, IoT proliferation, security concerns, customer experience enhancement, remote work facilitation, 5G evolution, and infrastructure investments collectively serve as powerful drivers for the Intelligent Network Market in the North American region, positioning it for continued expansion and innovation in the coming years.

Key Market Players

• Cisco Systems, Inc
• Huawei Technologies Co., Ltd.
• Nokia Corporation
• Juniper Networks, Inc.
• NVIDIA Corporation
• Capgemini Services SAS
• Colt Technology Services Group Limited
• Tech Mahindra Limited

Report Scope:

In this report, the Global Intelligent Network Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Intelligent Network Market, By Service Type:

• Information Cognition
• Traffic Prediction & Classification
• Resource Management & Network Adoption
• Performance Prediction & Configuration Extrapolation

Intelligent Network Market, By Enterprise Size:

• Small & Medium Sized Enterprises
• Large Enterprises

Intelligent Network Market, By End-User:

• Telecom Service Providers
• Cloud Service Providers
• Managed Network Service Providers
• Others

Intelligent Network Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait
  • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Intelligent Network Market.

Available Customizations:

Global Intelligent Network Market report with the given Market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional Market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
• 1.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Formulation of the Scope
• 2.4. Assumptions and Limitations
• 2.5. Sources of Research
  • 2.5.1. Secondary Research
  • 2.5.2. Primary Research
• 2.6. Approach for the Market Study
  • 2.6.1. The Bottom-Up Approach
  • 2.6.2. The Top-Down Approach
• 2.7. Methodology Followed for Calculation of Market Size & Market Shares
• 2.8. Forecasting Methodology
  • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Intelligent Network Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Service Type (Information Cognition, Traffic Prediction & Classification, Resource Management & Network Adoption, and Performance Prediction & Configuration Extrapolation)
  • 5.2.2. By Enterprise Size (Small & Medium Sized Enterprises and Large Enterprises)
  • 5.2.3. By End-User (Telecom Service Providers, Cloud Service Providers, Managed Network Service Providers, and Others)
  • 5.2.4. By Region
• 5.3. By Company (2023)
• 5.4. Market Map

6. North America Intelligent Network Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Service Type
  • 6.2.2. By Enterprise Size
  • 6.2.3. By End-User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Intelligent Network Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Service Type
      • 6.3.1.2.2. By Enterprise Size
      • 6.3.1.2.3. By End-User
  • 6.3.2. Canada Intelligent Network Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Service Type
      • 6.3.2.2.2. By Enterprise Size
      • 6.3.2.2.3. By End-User
  • 6.3.3. Mexico Intelligent Network Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Service Type
      • 6.3.3.2.2. By Enterprise Size
      • 6.3.3.2.3. By End-User

7. Europe Intelligent Network Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Service Type
  • 7.2.2. By Enterprise Size
  • 7.2.3. By End-User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Intelligent Network Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Service Type
      • 7.3.1.2.2. By Enterprise Size
      • 7.3.1.2.3. By End-User
  • 7.3.2. United Kingdom Intelligent Network Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Service Type
      • 7.3.2.2.2. By Enterprise Size
      • 7.3.2.2.3. By End-User
  • 7.3.3. Italy Intelligent Network Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Service Type
      • 7.3.3.2.2. By Enterprise Size
      • 7.3.3.2.3. By End-User
  • 7.3.4. France Intelligent Network Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Service Type
      • 7.3.4.2.2. By Enterprise Size
      • 7.3.4.2.3. By End-User
  • 7.3.5. Spain Intelligent Network Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Service Type
      • 7.3.5.2.2. By Enterprise Size
      • 7.3.5.2.3. By End-User

8. Asia-Pacific Intelligent Network Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Service Type
  • 8.2.2. By Enterprise Size
  • 8.2.3. By End-User
  • 8.2.4. By Country
• 8.3. Asia-Pacific: Country Analysis
  • 8.3.1. China Intelligent Network Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Service Type
      • 8.3.1.2.2. By Enterprise Size
      • 8.3.1.2.3. By End-User
  • 8.3.2. India Intelligent Network Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Service Type
      • 8.3.2.2.2. By Enterprise Size
      • 8.3.2.2.3. By End-User
  • 8.3.3. Japan Intelligent Network Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Service Type
      • 8.3.3.2.2. By Enterprise Size
      • 8.3.3.2.3. By End-User
  • 8.3.4. South Korea Intelligent Network Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Service Type
      • 8.3.4.2.2. By Enterprise Size
      • 8.3.4.2.3. By End-User
  • 8.3.5. Australia Intelligent Network Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Service Type
      • 8.3.5.2.2. By Enterprise Size
      • 8.3.5.2.3. By End-User

9. South America Intelligent Network Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Service Type
  • 9.2.2. By Enterprise Size
  • 9.2.3. By End-User
  • 9.2.4. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil Intelligent Network Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Service Type
      • 9.3.1.2.2. By Enterprise Size
      • 9.3.1.2.3. By End-User
  • 9.3.2. Argentina Intelligent Network Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Service Type
      • 9.3.2.2.2. By Enterprise Size
      • 9.3.2.2.3. By End-User
  • 9.3.3. Colombia Intelligent Network Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Service Type
      • 9.3.3.2.2. By Enterprise Size
      • 9.3.3.2.3. By End-User

10. Middle East and Africa Intelligent Network Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Service Type
  • 10.2.2. By Enterprise Size
  • 10.2.3. By End-User
  • 10.2.4. By Country
• 10.3. Middle East and Africa: Country Analysis
  • 10.3.1. South Africa Intelligent Network Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Service Type
      • 10.3.1.2.2. By Enterprise Size
      • 10.3.1.2.3. By End-User
  • 10.3.2. Saudi Arabia Intelligent Network Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Service Type
      • 10.3.2.2.2. By Enterprise Size
      • 10.3.2.2.3. By End-User
  • 10.3.3. UAE Intelligent Network Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Service Type
      • 10.3.3.2.2. By Enterprise Size
      • 10.3.3.2.3. By End-User
  • 10.3.4. Kuwait Intelligent Network Market Outlook
    • 10.3.4.1. Market Size & Forecast
      • 10.3.4.1.1. By Value
    • 10.3.4.2. Market Share & Forecast
      • 10.3.4.2.1. By Service Type
      • 10.3.4.2.2. By Enterprise Size
      • 10.3.4.2.3. By End-User
  • 10.3.5. Turkey Intelligent Network Market Outlook
    • 10.3.5.1. Market Size & Forecast
      • 10.3.5.1.1. By Value
    • 10.3.5.2. Market Share & Forecast
      • 10.3.5.2.1. By Service Type
      • 10.3.5.2.2. By Enterprise Size
      • 10.3.5.2.3. By End-User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

• 13.1. Cisco Systems, Inc
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel/Key Contact Person
  • 13.1.5. Key Product/Services Offered
• 13.2. Huawei Technologies Co., Ltd.
  • 13.2.1. Business Overview
  • 13.2.2. Key Revenue and Financials
  • 13.2.3. Recent Developments
  • 13.2.4. Key Personnel/Key Contact Person
  • 13.2.5. Key Product/Services Offered
• 13.3. Nokia Corporation
  • 13.3.1. Business Overview
  • 13.3.2. Key Revenue and Financials
  • 13.3.3. Recent Developments
  • 13.3.4. Key Personnel/Key Contact Person
  • 13.3.5. Key Product/Services Offered
• 13.4. Juniper Networks, Inc.
  • 13.4.1. Business Overview
  • 13.4.2. Key Revenue and Financials
  • 13.4.3. Recent Developments
  • 13.4.4. Key Personnel/Key Contact Person
  • 13.4.5. Key Product/Services Offered
• 13.5. NVIDIA Corporation
  • 13.5.1. Business Overview
  • 13.5.2. Key Revenue and Financials
  • 13.5.3. Recent Developments
  • 13.5.4. Key Personnel/Key Contact Person
  • 13.5.5. Key Product/Services Offered
• 13.6. Capgemini Services SAS
  • 13.6.1. Business Overview
  • 13.6.2. Key Revenue and Financials
  • 13.6.3. Recent Developments
  • 13.6.4. Key Personnel/Key Contact Person
  • 13.6.5. Key Product/Services Offered
• 13.7. Colt Technology Services Group Limited
  • 13.7.1. Business Overview
  • 13.7.2. Key Revenue and Financials
  • 13.7.3. Recent Developments
  • 13.7.4. Key Personnel/Key Contact Person
  • 13.7.5. Key Product/Services Offered
• 13.8. Tech Mahindra Limited
  • 13.8.1. Business Overview
  • 13.8.2. Key Revenue and Financials
  • 13.8.3. Recent Developments
  • 13.8.4. Key Personnel/Key Contact Person
  • 13.8.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer