首頁 > 市場調查報告書 > 通訊

網絡自動化

市場調查報告書

商品編碼

1535859

認知網路市場 - 按組件（解決方案、服務）、按技術（機器學習、NLP、深度學習、巨量資料分析）、按部署模式（本地、雲端）、按網路類型、按最終用戶和預測， 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個工作天內

價格

簡介目錄

在物聯網設備廣泛採用的推動下，認知網路市場規模在 2024 年至 2032 年期間將以 25% 的複合年成長率成長。根據 Exploding Topics 的數據，目前全球有超過 140 億台連網物聯網設備。這一數字資料將大幅成長，預計到 2030 年物聯網設備數量將達到 254.4 億台。。認知網路提供了必要的基礎設施來處理與物聯網激增相關的複雜性，提供增強的資料處理能力、即時分析和自動回應。強大且可擴展的網路系統的必要性正在推動市場成長。

認知網路產業根據組件、技術、部署、網路類型、最終用戶和地區進行分類。

到 2032 年，服務領域將獲得關注。提供者正在提供客製化服務，幫助組織實施和最佳化認知網路解決方案，確保與現有基礎設施無縫整合，並最大限度地發揮認知技術的優勢。這些服務不僅支援認知網路的部署，而且還促進持續的增強和更新，以跟上技術進步的步伐。

到 2032 年，雲端細分市場將佔據顯著的市場佔有率，這得益於多種優勢，包括降低基礎設施成本、更容易擴展和增強可訪問性。透過利用雲端技術，組織可以部署認知網路解決方案，而無需在硬體和軟體方面進行大量的前期投資。該模型還支援遠端管理和監控，使企業無論身在何處都能夠保持高水準的營運效率。

在該地區高度重視技術創新和數位轉型的推動下，歐洲認知網路產業規模將在 2032 年快速擴張。歐洲企業擴大採用認知網路解決方案來提高營運效率並在快速發展的數位環境中保持競爭力。此外，歐盟支持性的監管環境和旨在推進數位基礎設施的融資措施進一步推動了區域市場的成長。

產業生態系統分析
供應商格局
- 網路設備供應商
- 技術提供者
- 雲端服務供應商
- 電信營運商
- 系統整合商
- 最終用戶
利潤率分析
組件和創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 對 5G 網路的需求不斷成長
  - 設備數量的增加需要更智慧的網路管理
  - 整合可擴展、反應迅速的網路管理
  - 增強網路自動化和預測能力
- 產業陷阱與挑戰
  - 平衡增強分析與隱私法規
  - 認知能力的初始投資較高
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
解決方案
- 網管
- 安全管理
- SLA管理
服務
- 專業服務
  - 諮詢
  - 一體化
  - 支援與維護
- 託管服務

第 6 章：市場估計與預測：依技術分類，2021 - 2032

主要趨勢
機器學習
自然語言處理
深度學習
巨量資料分析

第 7 章：市場估計與預測：依部署模式，2021 - 2032 年

主要趨勢
本地
雲

第 8 章：市場估計與預測：按網路類型，2021 - 2032 年

主要趨勢
電信網路
企業網路
資料中心網路
物聯網 (IoT) 網路

第 9 章：市場估計與預測：按最終用戶分類，2021 - 2032 年

主要趨勢
電信
衛生保健
製造業
零售
BFSI
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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.

簡介目錄

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