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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

Publisher Global Market Insights
Published Jun 19, 2024
Length 280 Pages
SKU # GMI19085022

Description

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


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.

Table of Contents

280 Pages
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
Chapter 11 Company Profiles
11.1 A10 Networks, Inc.
11.2 Amdocs
11.3 Arista Networks, Inc.
11.4 Ciena Corporation
11.5 Cisco Systems, Inc.
11.6 Cognitive Talent Solutions Inc.
11.7 Ericsson
11.8 Extreme Networks, Inc.
11.9 F5 Networks, Inc.
11.10 Fortinet, Inc.
11.11 Hewlett Packard Enterprise (HPE)
11.12 Huawei Technologies Co., Ltd.
11.13 IBM Corporation
11.14 Infinera
11.15 Juniper Networks, Inc.
11.16 Keysight Technologies
11.17 Netcracker Technology Corp.
11.18 Nokia Corporation
11.19 Radware
11.20 Virtusa
11.21 VMware, Inc.

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