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市場調査レポート
商品コード
1743348
ネットワーク監視市場の市場規模、シェア、成長分析、提供別、帯域幅別、技術別、エンドユーザー別、地域別-2025年~2032年産業予測Network Monitoring Market Size, Share, and Growth Analysis, By Offering (Equipment, Network TAPs), By Bandwidth (1&10 Gbps, 40 Gbps), By Technology, By End User, By Region - Industry Forecast 2025-2032 |
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ネットワーク監視市場の市場規模、シェア、成長分析、提供別、帯域幅別、技術別、エンドユーザー別、地域別-2025年~2032年産業予測 |
出版日: 2025年06月02日
発行: SkyQuest
ページ情報: 英文 192 Pages
納期: 3~5営業日
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ネットワーク監視の世界市場規模は2023年に43億米ドルと評価され、2024年の47億9,000万米ドルから2032年には112億7,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは11.3%で成長する見通しです。
世界のネットワーク監視市場は、ヘルスケア、エネルギー、公益事業など、さまざまな分野がサイバー脅威の深刻化によりセキュリティを優先していることから、大幅な拡大が見込まれています。企業はクラウドの導入、IoTの普及、リモートワークなど、ますます複雑化するIT環境に直面しており、高度なネットワーク監視ソリューションの需要が急増しています。企業は機密情報を保護し、業務効率を確保するため、AIを活用したネットワーク分析と脅威の自動検知に注力しています。データセンターの増加やデジタルサービスへのシフトは、スケーラブルで費用対効果の高い監視ツールの必要性をさらに高めています。監視システムに関連する高コストは成長の妨げになるが、業界のリーダーたちは、洗練されていながら手頃な価格のソリューションを開発するために革新的な取り組みを行っており、この課題を軽減し、市場ダイナミクスを強化することが期待されています。
Global Network Monitoring Market size was valued at USD 4.3 billion in 2023 and is poised to grow from USD 4.79 billion in 2024 to USD 11.27 billion by 2032, growing at a CAGR of 11.3% during the forecast period (2025-2032).
The global network monitoring market is gearing up for substantial expansion as various sectors, including healthcare, energy, and utilities, prioritize security due to escalating cyber threats. As organizations face increasingly complex IT environments from cloud adoption, IoT proliferation, and remote work, the demand for advanced network monitoring solutions is surging. Companies are focusing on AI-driven network analytics and automated threat detection to protect sensitive information and ensure operational efficiency. The rise in data centers and the shift towards digital services further fuel the need for scalable and cost-effective monitoring tools. Although the high costs associated with monitoring systems can hinder growth, industry leaders are innovating to develop sophisticated yet affordable solutions, promising to alleviate this challenge and enhance market dynamics.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Network Monitoring market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Network Monitoring Market Segments Analysis
Global Network Monitoring Market is segmented by Offering, Bandwidth, Technology, End User and region. Based on Offering, the market is segmented into Equipment, Network TAPs, Data Monitoring Switches and Software & Services. Based on Bandwidth, the market is segmented into 1&10 Gbps, 40 Gbps and 100 Gbps. Based on Technology, the market is segmented into Ethernet, Fiber Optic and InfiniBand. Based on End User, the market is segmented into Enterprises, Telecommunications Industry, Government Organizations and Cloud Service Providers. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Network Monitoring Market
In today's digital-first environment, organizations depend on robust and continuous network connectivity to facilitate essential functions like cloud computing, video conferencing, and e-commerce. The increasing intricacy of networks, particularly with the rise of multi-cloud and hybrid systems, has rendered real-time monitoring vital for operational success. Cutting-edge, AI-driven network monitoring solutions empower businesses to identify anomalies, foresee potential failures, and enhance performance instantaneously. By incorporating advanced technologies such as deep packet inspection (DPI), machine learning-based anomaly detection, and predictive analytics, companies can significantly reduce downtime and maintain smooth network operations, ensuring they meet the demands of their customers and stakeholders effectively.
Restraints in the Global Network Monitoring Market
A significant barrier to the adoption of advanced network monitoring solutions in the global market is the elevated costs associated with both deployment and ongoing maintenance. While large enterprises may have the financial capacity to invest in AI-powered network analytics, automation tools, and sophisticated sensors, small and medium-sized businesses (SMBs) frequently encounter affordability challenges. The expenses linked to hardware sensors, software licenses, cloud storage, and the hiring of skilled IT personnel to oversee the monitoring systems can be quite daunting. Furthermore, the complexity and high costs associated with integrating these advanced solutions into existing legacy systems deter many businesses from transitioning from traditional monitoring tools to AI-driven alternatives due to financial apprehensions.
Market Trends of the Global Network Monitoring Market
The Global Network Monitoring market is increasingly influenced by the integration of AI-driven network automation and predictive analytics, a trend set to dominate through 2024 and beyond. This shift allows organizations to enhance their operational efficiencies by employing advanced machine learning algorithms for anomaly detection, bandwidth optimization, and predictive system maintenance. For instance, the launch of Juniper Networks' innovative AI-powered platform reflects the industry's pivot towards proactive network management, empowering enterprises to anticipate and address potential failures before they manifest. Furthermore, AI-enhanced monitoring systems bolster cybersecurity by detecting threats in real-time, significantly improving response times and ensuring robust network performance.