インテリジェントネットワーク市場：用途、エンドユーザー、地域別、2024年～2031年

インテリジェントネットワーク市場の評価、2024年～2031年

インテリジェントネットワーク業界は、技術開発の融合、顧客の期待の変化、ネットワークの効率とセキュリティの改善という差し迫ったニーズによって大きく成長しています。人工知能（AI）、機械学習（ML）、高度なデータ分析などの最新技術を組み合わせたインテリジェントネットワークは、さまざまな産業でデータの配信、管理、セキュリティの方法を変革しています。この破壊的なインパクトは、通信、IT・サービス、ヘルスケア、自動車、その他様々な産業で感じられ、回復力と適応力のあるネットワーク・インフラに大きく依存しています。市場は2024年に66億8,000万米ドルの収益を超え、2031年までに約398億6,000万米ドルの評価額に達すると予想されています。

この需要増加の主な要因は、データ消費の急激な増加と接続機器の急増です。モノのインターネット（IoT）のイントロダクションより、スマートな家庭用ガジェットから産業用センサーに至るまで、ネットワークに接続されるデバイスの数が著しく増加しています。このような増加には、データ・トラフィックを管理・最適化して輻輳を回避し、スムーズな接続性を保証し、高レベルのパフォーマンスを維持できる高度なネットワーク・ソリューションが必要です。従来のネットワーク・インフラは、このようなダイナミックで大規模なデータ・フローを処理するのに適していないことが多く、インテリジェントネットワークが不可欠であるため、市場は2024年から2031年にかけてCAGR 25%で成長します。

インテリジェントネットワーク市場定義/概要

インテリジェントネットワーク（IN）は、基本的な通話ルーティングや音声トランスミッションを超える高度なサービスや機能を可能にすることで、標準的な電話網を改善する複雑な通信アーキテクチャです。1980年代に初めて導入されたINの考え方は、サービス・ロジックを基礎となる交換アーキテクチャから切り離すことで、通信ネットワークをより柔軟かつダイナミックにし、消費者のニーズに応えることを目的としています。この分離により、基礎となるネットワーク・ハードウェアを変更することなく、新サービスの迅速な開発と展開が可能となり、拡張性、保守性、創造性の面で大きなメリットをもたらします。

インテリジェントネットワークの主なアプリケーションは、通話管理サービスです。これらのサービスには、コール転送、コールスクリーニング、コールウェイティングなどがあり、個々のスイッチングノードではなく、中央で管理されます。オペレータは、INアーキテクチャのサービス・コントロール・ポイント（SCP）を利用することで、これらの機能をより効率的かつ柔軟に提供することができます。また、この集中管理により、企業向けの仮想プライベート・ネットワーク（VPN）のような、より高度なサービスも可能になり、組織の変化する要件に合わせて動的に作成・維持することができます。

インテリジェントネットワークの将来的な利用は、デジタル環境と物理環境の多くの要素を変革すると期待されています。通信、ヘルスケアからスマートシティ、産業オートメーションに至るまで、AI、ML、IoTをネットワークインフラに統合することで、効率性、信頼性、ユーザーエクスペリエンスの向上が約束されます。これらの技術が進歩するにつれて、インテリジェントネットワークはイノベーションの推進、生活の質の向上、持続可能な開発の推進において重要な役割を果たすようになると思われます。インテリジェントネットワークの可能性を完全に実現する道のりは現在進行中であり、その影響は社会全体に及び、コネクテッドネスとインテリジェント・オートメーションの新時代が到来することになります。

通信におけるインテリジェントネットワークの採用は、インテリジェントネットワーク市場をどのように牽引するか？

通信におけるインテリジェントネットワークの利用は、高度な通信サービスに対する需要の高まりと、ネットワーク管理効率の向上に対するニーズから、近年大幅に増加しています。数多くのネットワーク・タスクを自動化するインテリジェントネットワークは、通信会社のネットワーク運用方法を一変させました。インテリジェントネットワークの主な利点のひとつは、コール・ルーティングや管理業務を自動化できることで、オペレーターは迅速かつ容易に顧客に新サービスを展開できます。この自動化により、手作業による介入が不要になり、エラーや運用コストが削減されるとともに、新サービスのイントロダクションが加速されます。

デバイスの急増や広帯域アプリケーションのニーズの高まりと相まって、現代の通信ネットワークは複雑さを増しており、ネットワーク管理により高度なアプローチが必要となっています。インテリジェントネットワークは、その機能が向上しているため、このような問題に対処するのに理想的です。インテリジェントネットワークにより、事業者はネットワークの管理を改善し、高いサービス品質とパフォーマンスを維持しながら、顧客のニーズを満たすことができます。

インテリジェントネットワークは、通信サービスのアップグレード、ネットワーク管理効率の向上、運用コストの削減に対する需要から、通信に採用されつつあります。AI、ML、仮想化、SDN技術をインテリジェントネットワークに取り入れることで、自己最適化、自己回復、敏捷性の向上など、その機能が大幅に向上しています。これらの開発は、ますます複雑化し、性能面での要求が厳しくなっている現在の通信ネットワークの問題を解決する上で極めて重要です。その結果、インテリジェントネットワークは通信環境においてますます重要な役割を果たすようになり、通信事業者は運用効率と費用対効果を維持しながら、顧客に改善されたサービスを提供できるようになります。

高い導入コストとデータ技術的制限がインテリジェントネットワーク市場を阻む？

インテリジェントネットワーク・ソリューションの導入は、ネットワーク事業者にとって、パフォーマンス、セキュリティ、管理効率の向上をもたらす画期的な出来事です。しかし、この変化には問題がないわけではなく、その最たるものが高額な費用の問題です。これらのソリューションは、ハードウェアとソフトウェア、そしてこれらの高度なシステムを管理・維持するためのマンパワーに多大な投資を必要とします。この多額の初期費用は、特に資金に限りのある小規模な事業者にとっては、導入の大きな障害となるかもしれないです。このような事業者にとって、最先端技術に投資する金銭的負担は法外に高く、先進的ではないが経済的なネットワーク・オプションを選択せざるを得ないかもしれないです。

特に、大規模な技術チームがなかったり、外部の専門家を雇う経済的柔軟性がなかったりする小規模な事業者にとっては、この統合の複雑さと必要なリソースは大変なものになる可能性があります。移行中にダウンタイムやパフォーマンスの問題が発生すれば、事業者のサービス品質や顧客満足度に深刻な影響を及ぼす可能性があるためです。

インテリジェントネットワーク・ソリューションは、ネットワーク管理とパフォーマンスの進歩を約束するものだが、その導入は、財政的、技術的、運用上の厳しいハードルによって妨げられています。ハードウェア、ソフトウェア、人件費の高コストと、リアルタイムのデータ処理の限界、新しいシステムを既存のインフラに統合する複雑さが、導入の大きな障壁となっています。このような制限は、潜在的な報酬と必要な多額の支出やリソースを慎重に比較検討しなければならない中小企業に不釣り合いな影響を与えます。その結果、インテリジェントネットワーク市場は、こうした複雑な問題に対処する事業者の慎重なアプローチに影響され、制約された開発軌道をたどっています。

目次

第1章 世界のインテリジェントネットワーク市場：イントロダクション

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 世界のインテリジェントネットワーク市場の展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 インテリジェントネットワークの世界市場：用途別

• 概要
• 情報認知
• トラフィック予測と分類
• リソース管理とネットワーク採用
• 性能予測と構成の外挿

第6章 インテリジェントネットワークの世界市場：エンドユーザー別

• 概要
• 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
• その他企業

第7章 インテリジェントネットワークの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第8章 世界のインテリジェントネットワーク市場：競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第9章 企業プロファイル

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

第10章 付録

• 関連調査

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