Global AI in Networks Market Size Study, by Offering, by Technology, by Deployment Mode, by Network Function, by End-Use Industry and Regional Forecasts 2022-2032

Description

Global AI in Networks Market is estimated at USD 8.19 billion in 2023 and is projected to witness an extraordinary growth rate with a CAGR of 33.88% during the forecast period from 2024 to 2032. AI in Networks encompasses the integration of advanced artificial intelligence technologies within networking infrastructures, aimed at optimizing performance, enhancing security, and improving operational efficiency. This market is rapidly gaining traction as AI-driven solutions become indispensable for managing complex network systems, facilitating automated network management, traffic optimization, and predictive maintenance. As networks continue to expand and diversify, the demand for AI in networks is expected to soar, driven by the necessity for real-time insights, seamless connectivity, and robust cybersecurity.

The Global AI in Networks Market is fueled by increasing demand for automated network management solutions, the growing intricacy of modern networking systems, and the rising necessity for sophisticated cybersecurity protocols. Additionally, the evolution of 5G networks and the proliferation of IoT devices are further augmenting the market, as these advancements generate vast quantities of data requiring advanced AI technologies for effective management. However, challenges such as high implementation costs and the shortage of skilled professionals capable of deploying and managing AI-driven networks may pose significant barriers to market expansion.

The key regions considered for the market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America is expected to maintain its dominance in the AI in Networks market, supported by its advanced technological infrastructure, substantial investments in AI research, and the presence of major market players. Furthermore, the Asia-Pacific region is poised for the most rapid growth during the forecast period, propelled by accelerated digital transformation, the expansion of 5G networks, and supportive government initiatives promoting the development and adoption of AI and networking technologies.

Major market players included in this report are:

Hewlett Packard Enterprise Development LP
Arista Networks, Inc.
Juniper Networks, Inc.
Ciena Corporation
Extreme Networks
Fujitsu
Huawei Technologies Co., Ltd.
Nokia Corporation
VMware, Inc.
Fortinet, Inc.

The detailed segments and sub-segment of the market are explained below:

By Offering:

Routers and Ethernet Switches
Software
AI-Networking Platform
Services

By Technology:

Generative AI
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Other Technologies

By Deployment Mode:

On-premises
Cloud-based

By Network Function:

Network Optimization
Network Cybersecurity
Network Predictive Maintenance
Network Troubleshooting
Others

By End-Use Industry:

Telecom Service Providers
Enterprises
Data Centers
Government
Other End-use Industry

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market

Chapter 1. Global AI in Networks Market Executive Summary

1.1. Global AI in Networks Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Offering
- 1.3.2. By Technology
- 1.3.3. By Deployment Mode
- 1.3.4. By Network Function
- 1.3.5. By End-Use Industry
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI in Networks Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global AI in Networks Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing demand for automated network management
- 3.1.2. Growing complexity of modern networks
- 3.1.3. Rising need for enhanced cybersecurity measures
3.2. Market Challenges
- 3.2.1. High implementation costs
- 3.2.2. Shortage of skilled professionals
3.3. Market Opportunities
- 3.3.1. Development of AI-driven 5G networks
- 3.3.2. Expansion of IoT ecosystems
- 3.3.3. Adoption of AI in edge computing

Chapter 4. Global AI in Networks Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Networks Market Size & Forecasts by Offering 2022-2032

5.1. Segment Dashboard
5.2. Global AI in Networks Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Routers and Ethernet Switches
- 5.2.2. Software
- 5.2.3. AI-Networking Platform
- 5.2.4. Services

Chapter 6. Global AI in Networks Market Size & Forecasts by Technology 2022-2032

6.1. Segment Dashboard
6.2. Global AI in Networks Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Generative AI
- 6.2.2. Machine Learning
- 6.2.3. Deep Learning
- 6.2.4. Natural Language Processing (NLP)
- 6.2.5. Other Technologies

Chapter 7. Global AI in Networks Market Size & Forecasts by Deployment Mode 2022-2032

7.1. Segment Dashboard
7.2. Global AI in Networks Market: Deployment Mode Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. On-premises
- 7.2.2. Cloud-based

Chapter 8. Global AI in Networks Market Size & Forecasts by Network Function 2022-2032

8.1. Segment Dashboard
8.2. Global AI in Networks Market: Network Function Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. Network Optimization
- 8.2.2. Network Cybersecurity
- 8.2.3. Network Predictive Maintenance
- 8.2.4. Network Troubleshooting
- 8.2.5. Others

Chapter 9. Global AI in Networks Market Size & Forecasts by End-Use Industry 2022-2032

9.1. Segment Dashboard
9.2. Global AI in Networks Market: End-Use Industry Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 9.2.1. Telecom Service Providers
- 9.2.2. Enterprises
- 9.2.3. Data Centers
- 9.2.4. Government
- 9.2.5. Other End-use Industry

Chapter 10. Global AI in Networks Market Size & Forecasts by Region 2022-2032

10.1. North America AI in Networks Market
- 10.1.1. U.S. AI in Networks Market
  - 10.1.1.1. Offering breakdown size & forecasts, 2022-2032
  - 10.1.1.2. Technology breakdown size & forecasts, 2022-2032
  - 10.1.1.3. Deployment Mode breakdown size & forecasts, 2022-2032
  - 10.1.1.4. Network Function breakdown size & forecasts, 2022-2032
  - 10.1.1.5. End-Use Industry breakdown size & forecasts, 2022-2032
- 10.1.2. Canada AI in Networks Market
  - 10.1.2.1. Offering breakdown size & forecasts, 2022-2032
  - 10.1.2.2. Technology breakdown size & forecasts, 2022-2032
  - 10.1.2.3. Deployment Mode breakdown size & forecasts, 2022-2032
  - 10.1.2.4. Network Function breakdown size & forecasts, 2022-2032
  - 10.1.2.5. End-Use Industry breakdown size & forecasts, 2022-2032
10.2. Europe AI in Networks Market
- 10.2.1. U.K. AI in Networks Market
- 10.2.2. Germany AI in Networks Market
- 10.2.3. France AI in Networks Market
- 10.2.4. Spain AI in Networks Market
- 10.2.5. Italy AI in Networks Market
- 10.2.6. Rest of Europe AI in Networks Market
10.3. Asia-Pacific AI in Networks Market
- 10.3.1. China AI in Networks Market
- 10.3.2. India AI in Networks Market
- 10.3.3. Japan AI in Networks Market
- 10.3.4. Australia AI in Networks Market
- 10.3.5. South Korea AI in Networks Market
- 10.3.6. Rest of Asia Pacific AI in Networks Market
10.4. Latin America AI in Networks Market
- 10.4.1. Brazil AI in Networks Market
- 10.4.2. Mexico AI in Networks Market
- 10.4.3. Rest of Latin America AI in Networks Market
10.5. Middle East & Africa AI in Networks Market
- 10.5.1. Saudi Arabia AI in Networks Market
- 10.5.2. South Africa AI in Networks Market
- 10.5.3. Rest of Middle East & Africa AI in Networks Market

Chapter 11. Competitive Intelligence

11.1. Key Company SWOT Analysis
11.2. Top Market Strategies
11.3. Company Profiles
- 11.3.1. Hewlett Packard Enterprise Development LP
  - 11.3.1.1. Key Information
  - 11.3.1.2. Overview
  - 11.3.1.3. Financial (Subject to Data Availability)
  - 11.3.1.4. Product Summary
  - 11.3.1.5. Market Strategies
- 11.3.2. Arista Networks, Inc.
- 11.3.3. Juniper Networks, Inc.
- 11.3.4. Ciena Corporation
- 11.3.5. Extreme Networks
- 11.3.6. Fujitsu
- 11.3.7. Huawei Technologies Co., Ltd.
- 11.3.8. Nokia Corporation
- 11.3.9. VMware, Inc.
- 11.3.10. Fortinet, Inc.

Chapter 12. Research Process

12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
12.2. Research Attributes