Global Artificial Intelligence (AI) in Networks Market Size study & Forecast, by Component, Deployment, Technology, Application, End-Use, and Regional Forecasts 2025-2035

Description

The Global Artificial Intelligence (AI) in Networks Market was valued at approximately USD 11.49 billion in 2024 and is expected to grow at a staggering CAGR of 32.50% over the forecast period 2025-2035. Artificial Intelligence in networks is rapidly reshaping the future of digital infrastructure, redefining how modern networks operate, optimize, and evolve. By leveraging deep learning algorithms, predictive analytics, and autonomous decision-making capabilities, AI-driven network solutions enhance system intelligence, boost operational efficiency, and minimize human intervention. From predictive maintenance to automated fault detection and traffic optimization, AI is not only streamlining legacy networks but also unlocking the future potential of 5G, edge computing, and IoT ecosystems. The relentless growth of data and connected devices is fundamentally driving the need for smarter, self-healing, and resilient network architectures powered by AI.

The exponential surge in digital transformation initiatives across both enterprise and telecom sectors is propelling the adoption of AI across network infrastructures. The deployment of 5G networks, expansion of cloud-native services, and rising demand for real-time data processing have intensified the focus on intelligent network management. AI technologies embedded within network layers are now pivotal in orchestrating traffic, managing latency, ensuring data security, and optimizing bandwidth consumption. Moreover, the demand for zero-touch automation, combined with the complexities of hybrid cloud environments, has made AI essential to sustaining network scalability and uptime. Despite these promising growth drivers, issues related to high integration costs, data privacy, and lack of standardization may pose intermittent hurdles. However, ongoing advancements in AI frameworks, coupled with cross-industry collaborations and government-backed digital infrastructure programs, are expected to mitigate these constraints over the coming decade.

Regionally, North America is projected to dominate the AI in Networks market, buoyed by massive investments in 5G infrastructure, rapid cloud adoption, and a high concentration of tech giants fostering innovation through AI. The U.S., in particular, continues to lead the AI research and deployment landscape with its mature digital ecosystem. Meanwhile, Asia Pacific is anticipated to witness the fastest growth during the forecast period. Countries like China, Japan, South Korea, and India are increasingly deploying AI to enhance smart city projects, expand high-speed networks, and streamline telecom services. Europe is also advancing steadily, driven by stringent regulatory frameworks promoting secure, transparent, and ethical AI usage in networking. Latin America and the Middle East & Africa are gradually catching up, supported by expanding internet penetration and digital transformation agendas initiated by governments and private stakeholders.

Major market player included in this report are:

Cisco Systems, Inc.
Huawei Technologies Co., Ltd.
Juniper Networks, Inc.
Nokia Corporation
Ericsson
IBM Corporation
Hewlett Packard Enterprise (HPE)
Google LLC
Microsoft Corporation
Intel Corporation
Samsung Electronics Co., Ltd.
NEC Corporation
Dell Technologies Inc.
ZTE Corporation
VMware, Inc.

Global Artificial Intelligence (AI) in Networks Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Component:

Hardware
Software

By Deployment:

Cloud
On-premises

By Technology:

Machine Learning
Natural Language Processing
Context-Aware Computing
Others

By Application:

Network Security
Network Optimization
Predictive Maintenance
Traffic Management
Others

By End-use:

Telecom Operators
Data Centers
Cloud Service Providers
Enterprises
Others

By Region:

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

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
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 Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Networks Market Forces Analysis

3.1. Market Forces Shaping The Global AI in Networks Market (2024-2035)
3.2. Drivers
- 3.2.1. Proliferation of 5G and Edge Computing Deployments
- 3.2.2. Surge in Real-Time Data and Zero-Touch Automation Demand
3.3. Restraints
- 3.3.1. High Integration & Operational Costs
- 3.3.2. Data Privacy Concerns and Lack of Standardization
3.4. Opportunities
- 3.4.1. Expansion of Cloud-Native & Hybrid Network Architectures
- 3.4.2. Growth of IoT Ecosystems and Smart City Initiatives

Chapter 4. Global AI in Networks Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Buyer
- 4.1.2. Bargaining Power of Supplier
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's Five Forces Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis and Trends 2025
4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Networks Market Size & Forecasts by Component 2025-2035

5.1. Market Overview
5.2. Hardware
- 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.2.2. Market Size Analysis by Region, 2025-2035
5.3. Software
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis by Region, 2025-2035

Chapter 6. Global AI in Networks Market Size & Forecasts by Deployment 2025-2035

6.1. Market Overview
6.2. Cloud
- 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.2.2. Market Size Analysis by Region, 2025-2035
6.3. On-Premises
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis by Region, 2025-2035

Chapter 7. Global AI in Networks Market Size & Forecasts by Region 2025-2035

7.1. AI in Networks Market, Regional Market Snapshot
7.2. Top Leading & Emerging Countries
7.3. North America AI in Networks Market
- 7.3.1. U.S. AI in Networks Market
  - 7.3.1.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.3.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.3.2. Canada AI in Networks Market
  - 7.3.2.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.3.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
7.4. Europe AI in Networks Market
- 7.4.1. UK AI in Networks Market
  - 7.4.1.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.4.2. Germany AI in Networks Market
  - 7.4.2.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.4.3. France AI in Networks Market
  - 7.4.3.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.3.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.4.4. Spain AI in Networks Market
  - 7.4.4.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.4.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.4.5. Italy AI in Networks Market
  - 7.4.5.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.5.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.4.6. Rest of Europe AI in Networks Market
  - 7.4.6.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.4.6.2. Deployment Breakdown Size & Forecasts, 2025-2035
7.5. Asia Pacific AI in Networks Market
- 7.5.1. China AI in Networks Market
  - 7.5.1.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.5.2. India AI in Networks Market
  - 7.5.2.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.5.3. Japan AI in Networks Market
  - 7.5.3.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.3.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.5.4. Australia AI in Networks Market
  - 7.5.4.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.4.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.5.5. South Korea AI in Networks Market
  - 7.5.5.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.5.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.5.6. Rest of Asia Pacific AI in Networks Market
  - 7.5.6.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.5.6.2. Deployment Breakdown Size & Forecasts, 2025-2035
7.6. Latin America AI in Networks Market
- 7.6.1. Brazil AI in Networks Market
  - 7.6.1.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.6.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.6.2. Mexico AI in Networks Market
  - 7.6.2.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.6.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
7.7. Middle East & Africa AI in Networks Market
- 7.7.1. UAE AI in Networks Market
  - 7.7.1.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.7.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.7.2. Saudi Arabia AI in Networks Market
  - 7.7.2.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.7.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 7.7.3. South Africa AI in Networks Market
  - 7.7.3.1. Component Breakdown Size & Forecasts, 2025-2035
  - 7.7.3.2. Deployment Breakdown Size & Forecasts, 2025-2035

Chapter 8. Competitive Intelligence

8.1. Top Market Strategies
8.2. Cisco Systems, Inc.
- 8.2.1. Company Overview
- 8.2.2. Key Executives
- 8.2.3. Company Snapshot
- 8.2.4. Financial Performance (Subject to Data Availability)
- 8.2.5. Product/Services Portfolio
- 8.2.6. Recent Development
- 8.2.7. Market Strategies
- 8.2.8. SWOT Analysis
8.3. Huawei Technologies Co., Ltd.
8.4. Juniper Networks, Inc.
8.5. Nokia Corporation
8.6. Ericsson
8.7. IBM Corporation
8.8. Hewlett Packard Enterprise (HPE)
8.9. Google LLC
8.10. Microsoft Corporation
8.11. Intel Corporation