查看购物车
  • Traditional Chinese
  • English
  • Japanese
网路分析市场 – 2023 年至 2028 年预测
市场调查报告书
商品编码
1410037

网路分析市场 – 2023 年至 2028 年预测

Network Analytics Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

网路分析市场预计在预测期内将以 22.5% 的复合年增长率成长。

网路分析是指检查和解释从电脑网路收集的资料以深入了解其效能、安全性和整体功能的过程。这包括分析网路流量模式、识别潜在瓶颈、侦测异常和安全威胁以及优化网路基础架构。网路分析利用资料探勘、机器学习和统计分析等各种技术来帮助企业做出资讯的决策，提高网路效率，并提高网路基础设施的可靠性和弹性。我们将帮助您确保这一点。

介绍

网路分析市场是指提供专注于电脑网路分析和最佳化的技术和解决方案的行业。透过检查网路资料并深入资讯效能、安全性和效率，企业可以做出明智的决策并改善其网路基础设施。该市场是由网路视觉性需求不断增长、云端处理采用不断增加以及网路环境复杂性不断增加等因素所推动的。该市场服务于各种行业，包括 IT 和通讯、银行、医疗保健、製造和 IT 服务，有助于提高网路效能、侦测威胁并确保平稳、安全的网路运作。

促进因素

云端处理的日益普及：

云端处理服务的快速普及增加了对网路分析解决方案的需求，这些解决方案可以优化效能、监控云端基础的网路并确保云端资源的高效利用。

物联网 (IoT) 设备的激增：

智慧感测器和连网型设备等物联网设备的快速成长产生了大量的网路资料。网路分析工具使组织能够有效地管理和分析这些资料，从而获得洞察力以提高决策和营运效率。

网路可见性和威胁侦测

随着网路威胁变得越来越复杂和精密，企业需要具有全面网路可见度和进阶威胁侦测功能的强大网路分析解决方案。这包括识别异常、检测潜在的安全漏洞以及及时回应和缓解。

优化网路效能

网路分析解决方案在优化网路效能方面发挥关键作用。识别并解决瓶颈、延迟问题和频宽限制，以实现高效的网路营运和无缝的用户体验。

数位转型措施：

在数位转型时代，企业依靠网路分析来支持其倡议。透过利用分析功能，企业可以确保可扩展性、敏捷性以及向数位平台的平稳过渡，以更好地在数位形势中竞争。

增强网路安全

网路分析解决方案对于加强网路安全至关重要。实现即时监控、威胁情报和主动识别安全漏洞，以帮助预防和减轻潜在的网路威胁。

即时网路监控需求：

即时网路监控对于企业快速识别和解决网路问题至关重要。网路分析解决方案提供全面的即时监控、诊断和报告功能，以确保最佳的网路效能并减少停机时间。

巨量资料分析的成长：

网路资料的数量、速度和种类不断增加，需要强大的巨量资料分析能力。网路分析解决方案使企业能够从大量网路资料中提取有价值的见解，从而做出资讯的决策、主动的网路管理并提高营运效率。

网路复杂度：

随着混合网路、多重云端环境和软体定义网路 (SDN) 等技术的出现，网路基础架构变得越来越复杂。网路分析解决方案透过提供可见性、控制和自动化功能来帮助管理和优化这种复杂的环境。

监理合规要求：

金融、医疗保健和通讯行业面临严格的监管合规标准。网路分析解决方案透过提供符合监管要求的监控、审核和报告功能，帮助确保合规性、资料隐私和网路安全。

主要企业提供的产品

  • 思科绿色网路分析：思科绿色网路分析是一套工具，可协助企业透过最佳化网路基础架构来减少对环境的影响。该套件包括用于监控能源消耗、确定可以节省能源的领域以及报告环境绩效的工具。
  • IBM Cloud Pak for Network Automation： IBM 的 Cloud Pak for Network Automation 是一个云端基础的平台，可协助企业实现网路营运自动化。该平台包含许多减少网路营运对环境影响的功能，包括在非高峰时段安排网路变更的能力以及追踪网路营运碳排放的能力。
  • 瞻博网路 Contrail Green：Juniper NetworksContrail Green 是一款软体定义网路 (SDN) 解决方案，可协助企业减少环境足迹。该解决方案包括优化网路流量、降低功耗和提高冷却效率的功能。
  • Palo Alto Networks Cortex XDR： Palo Alto Networks Cortex XDR 是一个安全分析平台，可协助企业侦测和回应威胁。该平台包含许多功能，可减少保全行动对环境的影响，包括分析云端上安全资料和使用机器学习识别威胁的能力。

云端基础的部署模型的积极成长：

云端基础的部署模型在网路分析市场中正在经历积极的成长。这是因为它扩充性和弹性，允许企业轻鬆扩展其网路分析基础设施以满足需求。此外，云端基础的部署消除了对本地硬体的需求并降低了维护成本，使其成为寻求经济高效且敏捷的网路分析解决方案的企业的有吸引力的选择。

北美地区预计将占很大份额：

预计北美将在网路分析市场中占据主要份额。这是由于成熟技术供应商的存在、通讯和 IT 等行业先进网路技术的高采用率以及对网路安全和优化的日益重视。该地区还拥有强大的数位基础设施和对网路分析优势的高度认识，推动了对创新解决方案的需求，并为北美在网路分析市场的主导地位做出了贡献。

主要进展：

  • 2022 年 12 月，Oracle Communications 将推出其网路分析产品组合中的第二个应用程式 Oracle Network Analytics Data Director，以支援 5G 营运的发展。随着 5G 网路变得越来越复杂，需要洞察力驱动的自动化，Data Director 使营运商能够灵活地将 5G 核心整合到现有的营运工具中，甚至是Oracle不提供的工具。 2023 年 2 月，诺基亚发布了 AVA Customer and Mobile Network Insights，这是一种云端原生分析软体解决方案，可简化通讯服务供应商(CSP) 5G 网路资料的收集和分析。该解决方案利用人工智慧和机器学习来实现智慧型决策并提高营运效率、网路效能和客户体验。

主要细分市场

按部署模型

  • 本地
  • 在云端

按最终用户产业

  • 云端服务供应商
  • 託管服务供应商
  • 电信业者
  • 其他的

按申请

  • 客户分析
  • 风险管理和故障检测
  • 网路效能管理
  • 合规管理
  • 品管
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 台湾
  • 泰国
  • 印尼
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查过程
  • 调查资料

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第 5 章网路分析市场：按部署模型

  • 介绍
  • 本地
  • 在云端

第 6 章 网路分析市场：按最终用户产业

  • 介绍
  • 云端服务供应商
  • 託管服务供应商
  • 通讯提供者
  • 其他的

第 7 章网路分析市场：按应用分类

  • 介绍
  • 客户分析
  • 风险管理和故障检测
  • 网路效能管理
  • 合规管理
  • 品管
  • 其他的

第 8 章网络分析市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 台湾
    • 泰国
    • 印尼
    • 其他的

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作

第十章 公司简介

  • Accenture
  • Cisco Systems, Inc.
  • Hewlett Packard Enterprise Development LP
  • IBM Corporation
  • Juniper Networks, Inc.
  • TIBCO Software Inc.
  • Telefonaktiebolaget LM Ericsson
  • Huawei Technologies Co., Ltd.
  • SAS Institute, Inc.
  • Nokia
简介目录
Product Code: KSI061615701

The Network Analytics market is estimated to grow at a CAGR of 22.5% during the forecast period.

Network analytics refers to the process of examining and interpreting data collected from computer networks to gain insights into their performance, security, and overall functioning. It involves analyzing network traffic patterns, identifying potential bottlenecks, detecting anomalies or security threats, and optimizing network infrastructure. By leveraging various techniques such as data mining, machine learning, and statistical analysis, network analytics helps organizations make informed decisions, enhance network efficiency, and ensure the reliability and resilience of their network infrastructure.

Introduction:

The network analytics market refers to the industry that offers technologies and solutions focused on analyzing and optimizing computer networks. It involves examining network data to gain insights into performance, security, and efficiency, allowing organizations to make informed decisions and improve their network infrastructure. The market is driven by factors such as the rising demand for network visibility, the increasing adoption of cloud computing, and the growing complexity of network environments. It caters to various sectors including telecommunications, banking, healthcare, manufacturing, and IT services, among others, helping them enhance network performance, detect threats, and ensure a smooth and secure network operation.

Drivers:

Increasing Adoption of Cloud Computing:

The rapid adoption of cloud computing services drives the demand for network analytics solutions to optimize performance, monitor cloud-based networks, and ensure efficient utilization of cloud resources.

Proliferation of Internet of Things (IoT) Devices:

The exponential growth of IoT devices, such as smart sensors and connected devices, generates massive amounts of network data. Network analytics tools help organizations manage and analyze this data effectively, enabling insights for improved decision-making and operational efficiency.

Network Visibility and Threat Detection:

With the growing complexity and sophistication of cyber threats, organizations require robust network analytics solutions for comprehensive network visibility and advanced threat detection capabilities. This includes identifying anomalies, detecting potential security breaches, and enabling timely response and mitigation.

Network Performance Optimization:

Network analytics solutions play a crucial role in optimizing network performance. They help organizations identify and address bottlenecks, latency issues, and bandwidth constraints, ensuring efficient network operations and delivering a seamless user experience.

Digital Transformation Initiatives:

In the era of digital transformation, organizations rely on network analytics to support their initiatives. By leveraging analytics capabilities, businesses can ensure scalability, agility, and smooth migration to digital platforms, thereby enhancing their competitiveness in the digital landscape.

Network Security Enhancement:

Network analytics solutions are essential for enhancing network security. They enable real-time monitoring, threat intelligence, and proactive identification of security vulnerabilities, helping organizations prevent and mitigate potential cyber threats.

Demand for Real-Time Network Monitoring:

Real-time network monitoring is critical for organizations to identify and resolve network issues promptly. Network analytics solutions provide comprehensive monitoring, diagnostics, and reporting capabilities in real-time, ensuring optimal network performance and reducing downtime.

Growth of Big Data Analytics:

The increasing volume, velocity, and variety of network data require robust big data analytics capabilities. Network analytics solutions enable organizations to extract valuable insights from the vast amount of network data, leading to informed decision-making, proactive network management, and improved operational efficiency.

Increasing Network Complexity:

With the advent of technologies like hybrid networks, multi-cloud environments, and software-defined networking (SDN), network infrastructure has become more complex. Network analytics solutions help organizations manage and optimize this complex environment by providing visibility, control, and automation capabilities.

Regulatory Compliance Requirements:

Industries such as finance, healthcare, and telecommunications face stringent regulatory compliance standards. Network analytics solutions assist in ensuring compliance, data privacy, and network security by providing monitoring, auditing, and reporting capabilities that align with regulatory requirements.

Products offered by key companies:

  • Cisco Green Network Analytics: Cisco's Green Network Analytics is a suite of tools that helps organizations to reduce their environmental impact by optimizing their network infrastructure. The suite includes tools for monitoring energy consumption, identifying areas where energy can be saved, and reporting on environmental performance.
  • IBM Cloud Pak for Network Automation: IBM's Cloud Pak for Network Automation is a cloud-based platform that helps organizations to automate their network operations. The platform includes a number of features that help to reduce the environmental impact of network operations, such as the ability to schedule network changes during off-peak hours and the ability to track the carbon footprint of network operations.
  • Juniper Networks Contrail Green: Juniper Networks Contrail Green is a software-defined networking (SDN) solution that helps organizations to reduce their environmental impact. The solution includes features for optimizing network traffic, reducing power consumption, and improving cooling efficiency.
  • Palo Alto Networks Cortex XDR: Palo Alto Networks Cortex XDR is a security analytics platform that helps organizations to detect and respond to threats. The platform includes a number of features that help to reduce the environmental impact of security operations, such as the ability to analyze security data in the cloud and the ability to use machine learning to identify threats.

Positive growth in the cloud-based deployment model segment:

The cloud-based deployment model is experiencing positive growth in the network analytics market. This is due to its scalability and flexibility, allowing organizations to easily scale their network analytics infrastructure based on demand. Additionally, cloud-based deployment eliminates the need for on-premises hardware and reduces maintenance costs, making it an attractive option for businesses looking for cost-effective and agile network analytics solutions.

The North American region is anticipated to hold a significant share:

North America is expected to hold a significant share in the network analytics market. This can be attributed to several factors such as the presence of established technology providers, the high adoption of advanced networking technologies in industries like telecommunications and IT, and the increasing emphasis on network security and optimization. Additionally, the region has a strong digital infrastructure and a high level of awareness about the benefits of network analytics, which drives the demand for innovative solutions and contributes to North America's prominent position in the network analytics market.

Key developments:

  • In Dec 2022, Oracle Communications has launched the Oracle Network Analytics Data Director, the second application in their Network Analytics portfolio, to support the evolution of 5G operations. As 5G networks become more complex and require insights-driven automation, the Data Director enables operators to flexibly integrate their 5G core into existing operational tools, even if those tools are not provided by Oracle.
  • In Feb 2023, Nokia has launched AVA Customer and Mobile Network Insights, a cloud-native analytics software solution that simplifies the collection and analysis of 5G network data for communication service providers (CSPs). The solution utilizes AI and machine learning to enable intelligent decision making and improve operational efficiency, network performance, and customer experience.

Key Segments:

By Deployment Model

  • On-Premise
  • On-Cloud

By End-User Industry

  • Cloud Service Provider
  • Managed Service Provider
  • Telecom Provider
  • Others

By Application

  • Customer Analysis
  • Risk Management And Fault Detection
  • Network Performance Management
  • Compliance Management
  • Quality Management
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Process
  • 2.2. Research Data

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. NETWORK ANALYTICS MARKET, BY DEPLOYMENT MODEL

  • 5.1. Introduction
  • 5.2. On-Premise
  • 5.3. On-Cloud

6. NETWORK ANALYTICS MARKET, BY END-USER INDUSTRY

  • 6.1. Introduction
  • 6.2. Cloud Service Provider
  • 6.3. Managed Service Provider
  • 6.4. Telecom Provider
  • 6.5. Others

7. NETWORK ANALYTICS MARKET, BY APPLICATION

  • 7.1. Introduction
  • 7.2. Customer Analysis
  • 7.3. Risk Management and Fault Detection
  • 7.4. Network Performance Management
  • 7.5. Compliance Management
  • 7.6. Quality Management
  • 7.7. Others

8. NETWORK ANALYTICS MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. United States
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. United Kingdom
    • 8.4.2. Germany
    • 8.4.3. France
    • 8.4.4. Italy
    • 8.4.5. Spain
    • 8.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. Japan
    • 8.6.2. China
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Taiwan
    • 8.6.6. Thailand
    • 8.6.7. Indonesia
    • 8.6.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations

10. COMPANY PROFILES

  • 10.1. Accenture
  • 10.2. Cisco Systems, Inc.
  • 10.3. Hewlett Packard Enterprise Development LP
  • 10.4. IBM Corporation
  • 10.5. Juniper Networks, Inc.
  • 10.6. TIBCO Software Inc.
  • 10.7. Telefonaktiebolaget LM Ericsson
  • 10.8. Huawei Technologies Co., Ltd.
  • 10.9. SAS Institute, Inc.
  • 10.10. Nokia