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1535859

认知网路市场 - 按组件（解决方案、服务）、按技术（机器学习、NLP、深度学习、大数据分析）、按部署模式（本地、云端）、按网路类型、按最终用户和预测， 2024 - 2032

Cognitive Network Market - By Component (Solution, Services), By Technology (Machine Learning, NLP, Deep Learning, Big Data Analytics), By Deployment Mode (On-Premises, Cloud), By Network Type, By End-user & Forecast, 2024 - 2032

出版日期: 2024年06月19日 | 出版商:

Global Market Insights Inc. | 英文 280 Pages | 商品交期: 2-3个工作天内

价格

简介目录

在物联网设备广泛采用的推动下，认知网路市场规模在 2024 年至 2032 年期间将以 25% 的复合年增长率成长。根据 Exploding Topics 的数据，目前全球有超过 140 亿台连网物联网设备。这一数字资料将大幅增长，预计到 2030 年物联网设备数量将达到 254.4 亿台。。认知网路提供了必要的基础设施来处理与物联网激增相关的复杂性，提供增强的资料处理能力、即时分析和自动回应。强大且可扩展的网路系统的必要性正在推动市场成长。

认知网路产业根据组件、技术、部署、网路类型、最终用户和地区进行分类。

到 2032 年，服务领域将获得关注。提供者正在提供客製化服务，帮助组织实施和优化认知网路解决方案，确保与现有基础设施无缝集成，并最大限度地发挥认知技术的优势。这些服务不仅支援认知网路的部署，而且还促进持续的增强和更新，以跟上技术进步的步伐。

到 2032 年，云端细分市场将占据显着的市场份额，这得益于多种优势，包括降低基础设施成本、更容易扩展和增强可访问性。透过利用云端技术，组织可以部署认知网路解决方案，而无需在硬体和软体方面进行大量的前期投资。该模型还支援远端管理和监控，使企业无论身在何处都能够保持高水准的营运效率。

在该地区高度重视技术创新和数位转型的推动下，欧洲认知网路产业规模将在 2032 年快速扩张。欧洲企业越来越多地采用认知网路解决方案来提高营运效率并在快速发展的数位环境中保持竞争力。此外，欧盟支持性的监管环境和旨在推进数位基础设施的融资措施进一步推动了区域市场的成长。

产业生态系统分析
供应商格局
- 网路设备供应商
- 技术提供者
- 云端服务供应商
- 电信营运商
- 系统整合商
- 最终用户
利润率分析
组件和创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 对 5G 网路的需求不断增长
  - 设备数量的增加需要更智慧的网路管理
  - 整合可扩展、反应迅速的网路管理
  - 增强网路自动化和预测能力
- 产业陷阱与挑战
  - 平衡增强分析与隐私法规
  - 认知能力的初始投资较高
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
解决方案
- 网管
- 安全管理
- SLA管理
服务
- 专业服务
  - 咨询
  - 一体化
  - 支援与维护
- 託管服务

第 6 章：市场估计与预测：依技术分类，2021 - 2032

主要趋势
机器学习
自然语言处理
深度学习
巨量资料分析

第 7 章：市场估计与预测：依部署模式，2021 - 2032 年

主要趋势
本地
云

第 8 章：市场估计与预测：按网路类型，2021 - 2032 年

主要趋势
电信网路
企业网路
资料中心网络
物联网 (IoT) 网路

第 9 章：市场估计与预测：按最终用户划分，2021 - 2032 年

主要趋势
电信
卫生保健
製造业
零售
BFSI
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

A10 Networks, Inc.
Amdocs
Arista Networks, Inc.
Ciena Corporation
Cisco Systems, Inc.
Cognitive Talent Solutions Inc.
Ericsson
Extreme Networks, Inc.
F5 Networks, Inc.
Fortinet, Inc.
Hewlett Packard Enterprise (HPE)
Huawei Technologies Co., Ltd.
IBM Corporation
Infinera
Juniper Networks, Inc.
Keysight Technologies
Netcracker Technology Corp.
Nokia Corporation
Radware
Virtusa
VMware, Inc.

简介目录

Product Code: 9924

The Cognitive Network Market size will grow at 25% CAGR during 2024-2032, driven by the widespread adoption of IoT devices. According to Exploding Topics, currently, there are over 14 billion connected IoT devices worldwide. This number is projected to grow significantly, with estimates suggesting 25.44 billion IoT devices by 2030. As the number of connected devices continues to surge, there is an increasing need for intelligent network solutions capable of managing and analyzing vast amounts of data generated by these devices. Cognitive networks provide the necessary infrastructure to handle the complexities associated with the proliferation of IoT, offering enhanced data processing capabilities, real-time analytics, and automated responses. The necessity for robust and scalable network systems is driving market growth.

The cognitive network industry is classified based on component, technology, deployment, network type, end-user and region.

The services segment will gain traction through 2032. Cognitive network services encompass a range of offerings including network design and integration, management, and maintenance. Providers are offering tailored services to help organizations implement and optimize cognitive network solutions, ensuring seamless integration with existing infrastructure and maximizing the benefits of cognitive technologies. These services not only support the deployment of cognitive networks but also facilitate ongoing enhancements and updates to keep pace with technological advancements.

The cloud segment will account for a notable market share by 2032, backed by several advantages, including reduced infrastructure costs, easier scalability, and enhanced accessibility. By leveraging cloud technology, organizations can deploy cognitive network solutions without the need for significant upfront investments in hardware and software. This model also supports remote management and monitoring, enabling businesses to maintain high levels of operational efficiency regardless of their geographic location.

Europe cognitive network industry size will expand at a fast pace through 2032, driven by the region's strong emphasis on technological innovation and digital transformation. European enterprises are increasingly adopting cognitive network solutions to enhance their operational efficiency and stay competitive in a rapidly evolving digital landscape. Additionally, the European Union's supportive regulatory environment and funding initiatives aimed at advancing digital infrastructure are further boosting the regional market growth.

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates & calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Networking equipment vendors
- 3.2.2 Technology providers
- 3.2.3 Cloud service providers
- 3.2.4 Telecom operators
- 3.2.5 System integrators
- 3.2.6 End user
3.3 Profit margin analysis
3.4 Component & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Rising demand for 5G Networks
  - 3.8.1.2 Increased devices demand smarter network management
  - 3.8.1.3 Integration for scalable, responsive network management
  - 3.8.1.4 Enhance network automation and predictive capabilities
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Balancing enhanced analytics with privacy regulations
  - 3.8.2.2 High initial investment for cognitive capabilities
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Solution
- 5.2.1 Network management
- 5.2.2 Security management
- 5.2.3 SLA management
5.3 Services
- 5.3.1 Professional services
  - 5.3.1.1 Consulting
  - 5.3.1.2 Integration
  - 5.3.1.3 Support & maintenance
- 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Machine learning
6.3 NLP
6.4 Deep learning
6.5 Big data analytics

Chapter 7 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 On-premises
7.3 Cloud

Chapter 8 Market Estimates & Forecast, By Network Type, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Telecom networks
8.3 Enterprise networks
8.4 Data center networks
8.5 Internet of things (IoT) networks

Chapter 9 Market Estimates & Forecast, By End-User, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Telecommunications
9.3 Healthcare
9.4 Manufacturing
9.5 Retail
9.6 BFSI
9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.3.8 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.5.4 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA