Summary

The global AI in Networks market is expected to be valued at USD 10.9 billion in 2024 and is projected to reach USD 46.8 billion by 2029 and grow at a CAGR of 33.8% from 2024 to 2029. The increasing adoption of 5G technology is one of the growth drivers for the AI in networks market. With the proliferation of IoT devices, video surveillance, and smart city initiatives, the adoption of 5G is rising. The technology is being used for high-bandwidth applications in smart cities, video surveillance, and more. The use of 5G technology thus generates vast amounts of data, leading to the demand for AI to manage and optimize network data to improve customer experience.

"AI in networks market for software offering to account for the second highest CAGR during the forecast period."
The AI in networks market for software offerings is projected to grow at the second-highest CAGR during the forecast period. The increasing demand for enhanced network data analytics and insights primarily drives the growth. The software offers real-time insights into network performance and potential threats. This enables network operators to enhance network operations and mitigate problems before they damage service quality. Additionally, software solutions can be deployed in less time compared to hardware solutions, making them suitable for large-scale infrastructure.
"AI in networks market for machine learning technology to account for the highest market share during the forecast period."
Machine learning technology in AI in networks market is expected to hold the highest market share during the forecast period. Machine learning algorithms automate various network management tasks, reducing human intervention and errors. Additionally, machine learning algorithms handle vast amounts of network traffic. It processes, manages, and utilizes this data to generate real-time insights for managing network operations. With the increase in internet penetration and the use of high bandwidth services such as video streaming and online gaming, the demand for machine learning technology to handle and manage data is rising.


"Telecom service providers end-use industry in AI in networks market to account for the highest market share during the forecast period."
Telecom service providers in the AI in networks market are projected to hold the highest market share during the forecast period. With the increasing adoption of 5G technology, telecom providers are increasingly adopting AI-driven network solutions to manage various network operations. Companies use artificial intelligence technology to identify cyber threats, manage network traffic, and perform network automation tasks. Additionally, AI-driven solutions help telecom operators detect equipment issues in advance by analyzing historical data, enabling companies to schedule maintenance timely and reduce downtime.
"AI in networks market for North America to account for the highest market share during the forecast period."
The AI in networks market in North America is expected to hold the highest share during the forecast period. The growth is primarily driven by the presence of large AI and network companies in the region, contributing to the growth of AI in the networks market. Additionally, due to the presence of numerous tech companies, the threat of cyberattacks also increases, driving the demand for advanced AI-driven networking solutions. These AI-driven solutions help companies deploy advanced security measures and provide real-time threat detection.
The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
• By Company Type: Tier 1 – 10%, Tier 2 – 55%, and Tier 3 – 35%
• By Designation: C-level Executives – 45%, Managers – 25%, and Others – 30%
• By Region: North America – 55%, Europe – 20%, Asia Pacific – 15%, RoW – 10%
The key players operating in the AI in networks market are NVIDIA Corporation (US), Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).
Research Coverage:
The research report categorizes the AI in networks market, By Offering (Routers and Ethernet Switches, Software, AI-networking platform, and Services), Technology (Generative AI, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Other technologies), Deployment (On-premise, Cloud and Hybrid), Network Function (Network Optimization, Network Cybersecurity, Network Predictive Maintenance, Network Troubleshooting, and Others), End-Use Industry (Telecom Service Providers, Enterprises, Data Centers, Government, and Other End-use industry), Region (North America, Europe, Asia Pacific, and RoW).
Key Benefits of Buying the Report
• Analysis of key drivers (Rising adoption of 5G technology, Increased demand for network efficiency, Proliferation of IoT devices, Increase in data traffic), restraints (High implementation costs, Data privacy and security concerns, Complexities in AI in Networks integration), opportunities (Rising demand for enhanced analytics, Increasing prevalence of smart city initiatives, Rise in network automation demand), and challenges (Rapid change in technology landscape, Compatibility and interoperability issues) influencing the growth of the AI in networks market.

• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the AI in networks market

• Market Development: Comprehensive information about lucrative markets – the report analyses the AI in networks market across varied regions.

• Market Diversification: Exhaustive information about new services, untapped geographies, recent developments, and investments in the AI in networks market

• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the AI in networks market, such as NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).

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Table of Contents

1 INTRODUCTION 21
1.1 STUDY OBJECTIVES 21
1.2 MARKET DEFINITION 21
1.3 STUDY SCOPE 22
1.3.1 MARKETS COVERED 22
1.3.2 INCLUSIONS AND EXCLUSIONS 22
1.3.3 YEARS CONSIDERED 23
1.4 CURRENCY CONSIDERED 23
1.5 LIMITATIONS 23
1.6 STAKEHOLDERS 24
2 RESEARCH METHODOLOGY 25
2.1 RESEARCH DATA 25
2.1.1 SECONDARY DATA 26
2.1.1.1 List of key secondary sources 26
2.1.1.2 Key data from secondary sources 26
2.1.2 PRIMARY DATA 27
2.1.2.1 List of primary interview participants 27
2.1.2.2 Key data from primary sources 28
2.1.2.3 Key industry insights 28
2.1.2.4 Breakdown of primaries 29
2.1.3 SECONDARY AND PRIMARY RESEARCH 30
2.2 MARKET SIZE ESTIMATION METHODOLOGY 30
2.2.1 BOTTOM-UP APPROACH 32
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side) 32
2.2.2 TOP-DOWN APPROACH 33
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side) 33
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 34
2.4 RESEARCH ASSUMPTIONS 35
2.5 RISK ASSESSMENT 36
2.6 RESEARCH LIMITATIONS 36
3 EXECUTIVE SUMMARY 37
4 PREMIUM INSIGHTS 41
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN NETWORKS MARKET 41
4.2 ASIA PACIFIC: AI IN NETWORKS MARKET, BY COUNTRY AND END USER 42
4.3 NORTH AMERICA: AI IN NETWORKS MARKET, BY COUNTRY 42
4.4 AI IN NETWORKS MARKET, BY COUNTRY 43
5 MARKET OVERVIEW 44
5.1 INTRODUCTION 44
5.2 MARKET DYNAMICS 44
5.2.1 DRIVERS 45
5.2.1.1 Rising adoption of 5G technology 45
5.2.1.2 Increased demand for network efficiency 46
5.2.1.3 Proliferation of IoT devices 46
5.2.1.4 Increase in data traffic 47
5.2.2 RESTRAINTS 47
5.2.2.1 High implementation costs 48
5.2.2.2 Data privacy and security concerns 48
5.2.2.3 Complexities in integration of AI in networks 48
5.2.3 OPPORTUNITIES 49
5.2.3.1 Rising demand for enhanced analytics 49
5.2.3.2 Increasing prevalence of smart city initiatives 50
5.2.3.3 Rise in network automation demand 50
5.2.4 CHALLENGES 51
5.2.4.1 Rapid changes in technology landscape 51
5.2.4.2 Compatibility and interoperability issues 51
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 52
5.4 PRICING ANALYSIS 53
5.4.1 AVERAGE SELLING PRICE OF AI IN NETWORKS OFFERED
BY KEY PLAYERS, BY OFFERING 53
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION 54
5.5 VALUE CHAIN ANALYSIS 55
5.6 ECOSYSTEM ANALYSIS 56
5.7 INVESTMENT AND FUNDING SCENARIO 58
5.8 TECHNOLOGY ANALYSIS 58
5.8.1 KEY TECHNOLOGIES 58
5.8.1.1 Machine learning algorithms 58
5.8.1.2 Natural language processing 58
5.8.1.3 Predictive analytics 58
5.8.1.4 Edge computing 58
5.8.2 COMPLEMENTARY TECHNOLOGIES 59
5.8.2.1 5G technology 59
5.8.2.2 Internet of Things (IoT) 59
5.8.2.3 Cloud computing 59
5.8.2.4 Blockchain technology 59
 
5.8.3 ADJACENT TECHNOLOGIES 59
5.8.3.1 Software-defined networking 59
5.8.3.2 Network function virtualization 59
5.8.3.3 Cybersecurity solutions 59
5.8.3.4 Big data analytics 59
5.9 PATENT ANALYSIS 60
5.10 TRADE ANALYSIS 65
5.11 KEY CONFERENCES AND EVENTS DURING 2024–2025 67
5.12 CASE STUDY ANALYSIS 68
5.12.1 VODAFONE PARTNERS WITH NOKIA TO ENHANCE ITS NETWORK OPERATIONS THROUGH AI SOLUTIONS 68
5.12.2 AT&T COLLABORATES WITH IBM TO INTEGRATE AI INTO ITS
NETWORK MANAGEMENT 68
5.12.3 DEUTSCHE TELEKOM WORKS WITH HUAWEI TO LEVERAGE AI FOR NETWORK AUTOMATION AND MANAGEMENT 69
5.12.4 TELEFÓNICA PARTNERS WITH ERICSSON TO DEPLOY AI SOLUTIONS
IN ITS NETWORK 69
5.12.5 ORANGE COLLABORATES WITH CISCO TO IMPLEMENT AI IN
ITS NETWORK INFRASTRUCTURE 70
5.13 TARIFF AND REGULATORY LANDSCAPE 70
5.13.1 TARIFF ANALYSIS 70
5.13.2 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 71
5.13.3 STANDARDS & REGULATIONS RELATED TO AI IN NETWORKS MARKET 74
5.14 PORTER'S FIVE FORCES ANALYSIS 75
5.14.1 THREAT OF NEW ENTRANTS 76
5.14.2 THREAT OF SUBSTITUTES 76
5.14.3 BARGAINING POWER OF SUPPLIERS 76
5.14.4 BARGAINING POWER OF BUYERS 76
5.14.5 INTENSITY OF COMPETITIVE RIVALRY 77
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 77
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 77
5.15.2 BUYING CRITERIA 78
6 AI IN NETWORKS MARKET, BY USE CASE 79
6.1 INTRODUCTION 79
6.2 AI-DRIVEN ISSUE IDENTIFICATION 79
6.3 IMPROVED WIRELESS PERFORMANCE 79
6.4 AI-ENHANCED ENDPOINT ANALYTICS 80
7 AI IN NETWORKS MARKET, BY OFFERING 81
7.1 INTRODUCTION 82
7.2 ROUTERS AND ETHERNET SWITCHES 83
7.2.1 DATA PROCESSING AND NETWORK OPTIMIZATION – KEY SEGMENT DRIVERS 83
7.3 SOFTWARE 85
7.3.1 EFFICIENT DEPLOYMENT, OPTIMIZATION, AND MANAGEMENT OF AI-DRIVEN NETWORKS TO BOOST SEGMENT 85
7.3.1.1 Network Management Software 87
7.3.1.2 Network Security Software 87
7.3.1.3 Software-defined Networking 87
7.4 AI NETWORKING PLATFORMS 88
7.4.1 INCREASING COMPLEXITY AND SCALE OF MODERN NETWORKS
TO DRIVE MARKET 88
7.5 SERVICES 90
7.5.1 IDENTIFICATION OF AI INTEGRATION OPPORTUNITIES – KEY DRIVER 90
8 AI IN NETWORKS MARKET, BY NETWORK FUNCTION 92
8.1 INTRODUCTION 93
8.2 OPTIMIZATION 94
8.2.1 INTELLIGENT SOLUTIONS FOR ENHANCED PERFORMANCE
NETWORKS – KEY DRIVER 94
8.3 CYBERSECURITY 95
8.3.1 INCREASING CYBER THREATS AND NEED TO PROTECT SENSITIVE
DATA TO DRIVE MARKET 95
8.4 PREDICTIVE MAINTENANCE 95
8.4.1 DEMAND FOR LOW DOWNTIME AND OPTIMIZED RESOURCE
ALLOCATION TO DRIVE MARKET 95
8.5 TROUBLESHOOTING 96
8.5.1 ENHANCED OPERATIONAL EFFICIENCY AND RELIABILITY IN
AI NETWORKS – KEY DRIVER 96
8.6 OTHER NETWORK FUNCTIONS 97
8.6.1 INCREASING DATA VOLUMES AND DIVERSE APPLICATIONS TO
DRIVE MARKET 97
9 AI IN NETWORKS MARKET, BY DEPLOYMENT MODE 98
9.1 INTRODUCTION 99
9.2 ON-PREMISES 100
9.2.1 HIGH DEMAND FOR DATA PRIVACY AND SECURITY TO
ACCELERATE MARKET GROWTH 100
9.3 CLOUD 101
9.3.1 DEMAND FOR COST-EFFECTIVE NETWORKING SOLUTIONS TO
DRIVE SEGMENT 101
10 AI IN NETWORKS MARKET, BY TECHNOLOGY 103
10.1 INTRODUCTION 104
10.2 MACHINE LEARNING 106
10.2.1 ENHANCES SECURITY AND ENABLES PREDICTIVE ANALYTICS FOR EFFICIENT RESOURCE ALLOCATION 106
 
10.3 DEEP LEARNING 107
10.3.1 ENABLES ADVANCED ANOMALY DETECTION AND
DECISION-MAKING CAPABILITIES 107
10.4 GENERATIVE AI 108
10.4.1 ENABLES AUTONOMOUS NETWORK MANAGEMENT, ENHANCING CYBERSECURITY MEASURES 108
10.5 NATURAL LANGUAGE PROCESSING 109
10.5.1 ENHANCES NETWORK MANAGEMENT AND OPERATIONAL EFFICIENCY 109
10.6 OTHER TECHNOLOGIES 110
10.6.1 ENABLE ENHANCED REAL-TIME DATA PROCESSING 110
11 AI IN NETWORKS MARKET, BY END USER 112
11.1 INTRODUCTION 113
11.2 TELECOM SERVICE PROVIDERS 114
11.2.1 INCREASING ADOPTION OF 5G NETWORKS TO DRIVE MARKET 114
11.3 ENTERPRISES 115
11.3.1 DEMAND FOR SCALABLE NETWORK MANAGEMENT SOLUTIONS
TO DRIVE SEGMENT 115
11.3.2 LARGE ENTERPRISES 116
11.3.3 SMES 117
11.4 DATA CENTERS 117
11.4.1 INCREASING DEMAND FOR CLOUD INFRASTRUCTURE TO BOOST SEGMENT 117
11.5 GOVERNMENT 118
11.5.1 RISE IN AI INFRASTRUCTURE INITIATIVES TO DRIVE MARKET GROWTH 118
11.6 OTHER END USERS 119
11.6.1 DEMAND FOR ENHANCED CYBERSECURITY TO FUEL GROWTH 119
12 AI IN NETWORKS MARKET, BY REGION 121
12.1 INTRODUCTION 122
12.2 NORTH AMERICA 123
12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 124
12.2.2 US 127
12.2.2.1 Increasing demand for cloud computing and 5G technology
to drive market 127
12.2.3 CANADA 128
12.2.3.1 Investments in cybersecurity solutions to drive market 128
12.2.4 MEXICO 128
12.2.4.1 Expansion of data centers to drive demand 128
12.3 EUROPE 129
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 130
12.3.2 UK 134
12.3.2.1 Increasing investments in 5G infrastructure to provide opportunities for market growth 134
 
12.3.3 GERMANY 134
12.3.3.1 Increasing adoption of AI and cloud computing to boost market 134
12.3.4 FRANCE 135
12.3.4.1 Growing concerns for cybersecurity to accelerate market growth 135
12.3.5 ITALY 135
12.3.5.1 Increasing initiatives toward digital transformation to
drive market growth 135
12.3.6 REST OF EUROPE 136
12.4 ASIA PACIFIC 137
12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 138
12.4.2 CHINA 141
12.4.2.1 Growing 5G infrastructure and increasing investment in telecommunication sector to drive market growth 141
12.4.3 JAPAN 142
12.4.3.1 Increasing demand for cloud infrastructure to drive market growth 142
12.4.4 SOUTH KOREA 143
12.4.4.1 Need for robust network security solutions to present opportunities for players 143
12.4.5 REST OF ASIA PACIFIC 143
12.5 ROW 144
12.5.1 MACROECONOMIC OUTLOOK FOR ROW 144
12.5.2 MIDDLE EAST 147
12.5.2.1 GCC Countries 147
12.5.2.1.1 Government initiatives to build smart infrastructure
to drive market 147
12.5.2.2 Rest of Middle East 148
12.5.3 SOUTH AMERICA 148
12.5.3.1 Growing investment in 5G infrastructure in Brazil and Colombia to drive market 148
12.5.4 AFRICA 148
12.5.4.1 Increasing internet penetration and government initiatives in region to drive market 148
13 COMPETITIVE LANDSCAPE 150
13.1 INTRODUCTION 150
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 150
13.3 REVENUE ANALYSIS OF KEY PLAYERS: AI IN NETWORKS MARKET 152
13.4 MARKET SHARE ANALYSIS, 2023 152
13.4.1 KEY PLAYERS: AI IN NETWORKS MARKET, 2023 154
13.5 COMPANY FINANCIAL METRICS 156
13.6 COMPANY VALUATION AND FINANCIAL METRICS 156
13.7 BRAND COMPARISON 157
 
13.8 COMPANY EVALUATION MATRIX, KEY PLAYERS 158
13.8.1 STARS 158
13.8.2 EMERGING LEADERS 158
13.8.3 PERVASIVE PLAYERS 158
13.8.4 PARTICIPANTS 158
13.8.5 COMPANY FOOTPRINT 160
13.8.5.1 Offering footprint 161
13.8.5.2 Deployment mode footprint 162
13.8.5.3 Technology footprint 163
13.8.5.4 Network function footprint 164
13.8.5.5 End user footprint 165
13.8.5.6 Region footprint 167
13.9 COMPANY EVALUATION MATRIX, (STARTUPS/SMES), 2023 168
13.9.1 PROGRESSIVE COMPANIES 168
13.9.2 RESPONSIVE COMPANIES 168
13.9.3 DYNAMIC COMPANIES 168
13.9.4 STARTING BLOCKS 168
13.9.5 COMPETITIVE BENCHMARKING STARTUPS/SMES, 2023 170
13.9.5.1 Detailed list of key startups/SMEs 170
13.9.5.2 Competitive benchmarking of key startups/SMEs 170
13.10 COMPETITIVE SCENARIO & TRENDS 171
14 COMPANY PROFILES 178
14.1 KEY PLAYERS 178
14.1.1 NVIDIA CORPORATION 178
14.1.1.1 Business overview 178
14.1.1.2 Products/Solutions/Services offered 180
14.1.1.3 Recent developments 181
14.1.1.3.1 Product/Service launches 181
14.1.1.3.2 Deals 181
14.1.1.4 MnM view 181
14.1.1.4.1 Right to win 181
14.1.1.4.2 Strategic choices 182
14.1.1.4.3 Weaknesses/Competitive threats 182
14.1.2 CISCO SYSTEMS, INC. 183
14.1.2.1 Business overview 183
14.1.2.2 Products/Solutions/Services offered 185
14.1.2.3 Recent developments 186
14.1.2.3.1 Product/Service launches 186
14.1.2.3.2 Deals 186
 
14.1.2.4 MnM view 187
14.1.2.4.1 Right to win 187
14.1.2.4.2 Strategic choices 187
14.1.2.4.3 Weaknesses/Competitive threats 187
14.1.3 TELEFONAKTIEBOLAGET LM ERICSSON 188
14.1.3.1 Business overview 188
14.1.3.2 Products/solutions/services offered 189
14.1.3.3 Recent developments 190
14.1.3.3.1 Product/Service launches 190
14.1.3.3.2 Deals 190
14.1.3.4 MnM view 191
14.1.3.4.1 Right to win 191
14.1.3.4.2 Strategic choices 191
14.1.3.4.3 Weaknesses/Competitive threats 191
14.1.4 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP 192
14.1.4.1 Business overview 192
14.1.4.2 Products/solutions/services offered 193
14.1.4.3 Recent developments 194
14.1.4.3.1 Product/service launches 194
14.1.4.3.2 Deals 194
14.1.4.4 MnM view 195
14.1.4.4.1 Right to win 195
14.1.4.4.2 Strategic choices 195
14.1.4.4.3 Weaknesses/Competitive threats 195
14.1.5 ARISTA NETWORKS, INC. 196
14.1.5.1 Business overview 196
14.1.5.2 Products/Solutions/Services offered 197
14.1.5.3 Recent developments 197
14.1.5.3.1 Product/Service launches 197
14.1.5.4 MnM view 198
14.1.5.4.1 Right to win 198
14.1.5.4.2 Strategic choices 198
14.1.5.4.3 Weaknesses/Competitive threats 198
14.1.6 JUNIPER NETWORKS, INC. 199
14.1.6.1 Business overview 199
14.1.6.2 Products/Solutions/Services offered 200
14.1.6.3 Recent developments 202
14.1.6.3.1 Product/Service launches 202
14.1.6.3.2 Deals 203
 
14.1.7 CIENA CORPORATION 204
14.1.7.1 Business overview 204
14.1.7.2 Products/solutions/services offered 206
14.1.7.3 Recent developments 206
14.1.7.3.1 Deals 206
14.1.8 EXTREME NETWORKS 207
14.1.8.1 Business overview 207
14.1.8.2 Products/solutions/services offered 208
14.1.8.3 Recent developments 208
14.1.8.3.1 Product/Service launches 208
14.1.9 FUJITSU 209
14.1.9.1 Business overview 209
14.1.9.2 Products/solutions/services offered 211
14.1.10 HUAWEI TECHNOLOGIES CO., LTD. 212
14.1.10.1 Business overview 212
14.1.10.2 Products/solutions/services offered 213
14.1.11 NOKIA 215
14.1.11.1 Business overview 215
14.1.11.2 Products/solutions/services offered 217
14.1.11.3 Recent developments 218
14.1.11.3.1 Deals 218
14.2 OTHER PLAYERS 219
14.2.1 DELL INC. 219
14.2.2 FORWARD NETWORKS 220
14.2.3 FORTINET, INC. 221
14.2.4 ANUTA NETWORKS INTERNATIONAL LLC 222
14.2.5 PALO ALTO NETWORKS 223
14.2.6 NETSCOUT 223
14.2.7 A10 NETWORKS, INC. 224
14.2.8 VERSA NETWORKS, INC. 224
14.2.9 RIVERBED TECHNOLOGY 225
14.2.10 IBM 225
14.2.11 ALE INTERNATIONAL 226
14.2.12 BLUECAT NETWORKS 226
14.2.13 GIGABIT TECHNOLOGIES PVT. LTD. 227
14.2.14 SOLARWINDS WORLDWIDE, LLC 227
14.2.15 ZOHO CORPORATION PVT. LTD. 228
 
15 APPENDIX 229
15.1 DISCUSSION GUIDE 229
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 232
15.3 CUSTOMIZATION OPTIONS 234
15.4 RELATED REPORTS 234
15.5 AUTHOR DETAILS 235