Summary

The global network automation market will grow from USD 8.69 billion in 2026 to USD 14.42 billion by 2032, at a compound annual growth rate (CAGR) of 8.8% during the forecast period. The market is being propelled by the increasing scale and heterogeneity of modern network infrastructure, where enterprises must manage data centers, branch environments, cloud resources, and distributed endpoints through increasingly complex operational frameworks. As network teams face pressure to provision services faster while maintaining configuration consistency, automation is gaining importance as a means of standardizing repetitive tasks, coordinating changes, and reducing operational dependencies. The growing adoption of software-defined networking, network orchestration, APIs, and infrastructure-as-code is further enabling organizations to integrate network operations with broader IT workflows. At the same time, the increasing deployment of cloud-native applications, edge infrastructure, and high-performance computing environments is creating demand for networks capable of responding dynamically to changing workloads. AI-assisted network operations are also expanding the scope of automation by enabling anomaly detection, predictive maintenance, automated troubleshooting, and closed-loop remediation. However, adoption can be constrained by the complexity of modernizing legacy infrastructure, integration requirements across heterogeneous network environments, implementation costs, and the availability of personnel with specialized automation skills. These factors are influencing how enterprises prioritize automation investments and transition toward more centralized, programmable, and autonomous network operations.

Based on offering, the software segment is expected to hold the largest market share during the forecast period.
Software is expected to account for the largest share of the network automation market as organizations increasingly adopt platforms that provide centralized control over network configuration, orchestration, monitoring, and optimization. Automation software enables network teams to create repeatable workflows, apply policies consistently, and coordinate operations across multi-vendor infrastructure without relying extensively on manual device-level intervention. The growing integration of automation platforms with cloud management, observability, IT service management, and DevOps environments is expanding their role beyond traditional configuration management. In addition, AI-enabled capabilities are allowing software platforms to support intelligent event analysis, predictive insights, and automated remediation, improving the responsiveness of network operations. The increasing adoption of programmable infrastructure and API-based network management is further supporting demand for software that can connect disparate network resources and operational systems. As enterprises seek to improve network agility while controlling operational complexity, software platforms are becoming a core component of automated network management strategies.

Based on network type, the cloud networks segment is expected to grow at the highest CAGR during the forecast period.
Cloud networks are expected to experience the fastest growth as enterprises increasingly distribute applications and workloads across public cloud, private cloud, and hybrid environments. Managing connectivity across these environments requires greater levels of orchestration to ensure that network resources remain aligned with application requirements and changing workloads. Automation enables organizations to provision cloud network resources, manage policies, configure connectivity, and coordinate changes across distributed environments with greater speed and consistency. The expansion of multi-cloud strategies is further increasing the need for centralized visibility and automated workflows that can operate across different cloud platforms and network architectures. Integration with cloud-native orchestration tools and application deployment pipelines is also enabling network operations to become more closely connected with compute and application lifecycles. As enterprises continue to adopt dynamic cloud environments, the ability to automate network provisioning and policy enforcement is expected to make cloud networking a significant growth area within the market.

Asia Pacific is expected to grow at the highest CAGR during the forecast period.
Asia Pacific is expected to register the highest growth in the network automation market as enterprises and service providers across the region accelerate infrastructure modernization and digital transformation initiatives. Increasing investments in cloud infrastructure, data centers, telecommunications networks, and distributed computing environments are creating a broader requirement for automated network management. The rapid expansion of enterprise connectivity and the growing scale of digital services are also increasing the operational burden associated with manually configuring and maintaining network infrastructure. Organizations are therefore adopting software-driven approaches to improve provisioning speed, network visibility, and resource utilization. In addition, the development of advanced data center infrastructure and the expansion of edge computing are creating new use cases for programmable and automated networks. Service providers are also increasingly focused on improving operational efficiency and accelerating the deployment of network services across large-scale infrastructure. As organizations across the region move toward cloud-centric and software-defined environments, increasing investments in network modernization are expected to support the rapid adoption of network automation solutions throughout Asia Pacific.
Breakdown of primaries
We interviewed Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant network automation market companies.
・By Company: Tier I: 35%, Tier II: 40%, and Tier III: 25%
・By Designation: C-Level Executives: 40%, Director Level: 25%, and Others: 35%
・By Region: North America: 25%, Europe: 35%, Asia Pacific: 30%, Rest of World: 10%
Some of the significant network automation vendors are Cisco (US), IBM (US), HPE (US), Huawei (China), Broadcom (US), Arista Networks (US), Nokia (Finland), Ericsson (Sweden), Extreme Networks (US), Fujitsu (Japan).
Research coverage:
The market report covered the network automation market across segments. We estimated the market size and growth potential for many segments based on offering, network automation type, network type, end user, and region. It contains a thorough competitive analysis of the major market participants, information about their businesses, essential observations about their product offerings, current trends, and critical market strategies.
Reasons to buy this report:

With information on the most accurate revenue estimates for the whole network automation industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's increased understanding of the competitive environment, which will help them better position their companies and develop go-to-market strategies. The research offers information on the main market drivers, constraints, opportunities, and challenges, as well as aids players in understanding the pulse of the industry.

The report provides insights on the following pointers:

Analysis of key drivers (Rising network complexity & scale, need for operational efficiency & cost reduction, and security & compliance requirements), restraints (High initial investment & integration challenges, and lack of skilled workforce), opportunities (Integration of AI and ML in network automation to drive autonomous networks, 5G & edge computing expansion, and cloud-native & multi-vendor interoperability), and challenges (Security risks of automated networks, and vendor lock-in & interoperability issues).

・Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the network automation market

・Market Development: In-depth details regarding profitable markets: the paper examines the global network automation market

・Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the network automation market

・Competitive Assessment: Thorough analysis of the market shares, expansion plans, platforms, and service portfolios of the top competitors in the network automation industry, such as Cisco (US), IBM (US), HPE (US), Huawei (China), Broadcom (US), Arista Networks (US), Nokia (Finland), Ericsson (Sweden), Extreme Networks (US), Fujitsu (Japan), NetBrain Technologies (US), Gluware (US), SolarWinds (US), Riverbed (US), Forward Networks (US), Palo Alto Networks (US), Aviz Networks (US), Itential (US), BackBox (US), Flock9 (Netherlands), Anuta Networks (US), Versa Networks (US), Infoblox (US), Auvik Networks (Canada), Arrcus (US), BlueCat (Canada), and Stardust Systems (US)

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Table of Contents

1 INTRODUCTION 34
1.1 STUDY OBJECTIVES 34
1.2 MARKET DEFINITION 34
1.3 STUDY SCOPE 34
1.3.1 MARKET SEGMENTATION 34
1.3.2 INCLUSIONS AND EXCLUSIONS 35
1.3.3 YEARS CONSIDERED 36
1.4 CURRENCY CONSIDERED 36
1.5 STAKEHOLDERS 37
1.6 SUMMARY OF CHANGES 37
2 EXECUTIVE SUMMARY 38
2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS 38
2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 40
2.3 DISRUPTIVE TRENDS IN NETWORK AUTOMATION MARKET 41
2.4 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST 42
3 PREMIUM INSIGHTS 43
3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NETWORK AUTOMATION MARKET 43
3.2 NETWORK AUTOMATION MARKET, BY OFFERING, 2026 43
3.3 NETWORK AUTOMATION MARKET, BY END USER, 2026 44
3.4 NETWORK AUTOMATION MARKET, BY NETWORK AUTOMATION TYPE, 2026 44
3.5 NETWORK AUTOMATION MARKET, BY NETWORK TYPE, 2026 45
3.6 NETWORK AUTOMATION MARKET, BY ENTERPRISE, 2026 45
3.7 NORTH AMERICA: NETWORK AUTOMATION MARKET, BY TOP 3 NETWORK TYPES & COUNTRY, 2026 46
3.8 ASIA PACIFIC: NETWORK AUTOMATION MARKET, BY TOP 3 NETWORK TYPES & COUNTRIES, 2026 46
4 MARKET OVERVIEW 47
4.1 INTRODUCTION 47
4.2 MARKET DYNAMICS 47
4.2.1 DRIVERS 48
4.2.1.1 Rising network complexity & scale 48
4.2.1.2 Need for operational efficiency & cost reduction 48
4.2.1.3 Security & compliance requirements 49
4.2.1.4 Expansion of AI infrastructure & high-performance data center networks 49
4.2.2 RESTRAINTS 49
4.2.2.1 High initial investment & integration challenges 49
4.2.2.2 Lack of skilled workforce 50
4.2.2.3 Data quality & automation readiness constraints 50
4.2.3 OPPORTUNITIES 50
4.2.3.1 Integration of AI and ML in network automation 50
4.2.3.2 5G rollout & edge computing expansion 50
4.2.3.3 Cloud-native & API-driven network automation 51
4.2.3.4 Expansion of closed-loop & intent-based network operations 51
4.2.4 CHALLENGES 51
4.2.4.1 Security risks of automated networks 51
4.2.4.2 Vendor lock-in & interoperability issues 52
4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 52
4.3.1 INTERCONNECTED MARKETS 52
4.3.2 CROSS-SECTOR OPPORTUNITIES 53
4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 54
5 INDUSTRY TRENDS 55
5.1 PORTER’S FIVE FORCES ANALYSIS 55
5.1.1 THREAT OF NEW ENTRANTS 56
5.1.2 THREAT OF SUBSTITUTES 56
5.1.3 BARGAINING POWER OF SUPPLIERS 56
5.1.4 BARGAINING POWER OF BUYERS 56
5.1.5 INTENSITY OF COMPETITIVE RIVALRY 57
5.2 MACROECONOMIC OUTLOOK 57
5.2.1 INTRODUCTION 57
5.2.2 GDP TRENDS AND FORECAST 57
5.2.3 TRENDS IN NETWORK AUTOMATION MARKET 59
5.3 SUPPLY CHAIN ANALYSIS 60
5.3.1 TECHNOLOGY & INFRASTRUCTURE PROVIDERS 60
5.3.2 SOFTWARE & PLATFORM PROVIDERS 61
5.3.3 INTEGRATION & SERVICE PROVIDERS 61
5.3.4 END USERS 61
5.4 ECOSYSTEM ANALYSIS 61
5.5 PRICING ANALYSIS 62
5.5.1 INDICATIVE PRICING OF NETWORK AUTOMATION OFFERINGS, 2025 63
5.5.2 INDICATIVE PRICING OF NETWORK AUTOMATION SOFTWARE, BY NETWORK SCALE, 2025 63
5.6 KEY CONFERENCES AND EVENTS, 2026–2027 64
5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 65
5.8 INVESTMENT AND FUNDING SCENARIO 65
5.9 CASE STUDY ANALYSIS 66
5.9.1 LEADING FINANCIAL FIRM AUTOMATES APPLICATION SERVICES WITH CISCO ACI AND AVI NETWORKS 66
5.9.2 HARRY REID INTERNATIONAL AIRPORT ACHIEVES SEAMLESS CONNECTIVITY AND OPERATIONAL INSIGHTS WITH HPE ARUBA NETWORKING 67
5.9.3 VODAFONE GROUP CREATES NIMBLE SERVICE INNOVATION PLATFORM WITH VMWARE NFV 67
5.9.4 IBM CIO ORGANIZATION OPTIMIZES MULTI-TENANT ENVIRONMENT WITH TURBONOMIC AUTOMATION 68
5.9.5 ARÇELIK MODERNIZES MANUFACTURING WITH HIGH-PERFORMANCE NOKIA PRIVATE 5G NETWORK 68
5.9.6 FINANCIAL SERVICES COMPANY ACHIEVES CLOUD TRANSFORMATION WITH ARISTA’S CONVERGED CLOUD FABRIC 68
5.10 IMPACT OF 2025 US TARIFF – NETWORK AUTOMATION MARKET 69
5.10.1 INTRODUCTION 69
5.10.2 IMPACT OF 2025 US TARIFF ON NETWORK AUTOMATION MARKET 69
5.10.3 KEY TARIFF RATES 70
5.10.4 PRICE IMPACT ANALYSIS 70
5.10.4.1 Strategic shifts and emerging trends 71
5.10.5 IMPACT ON COUNTRIES/REGIONS 71
5.10.5.1 US 71
5.10.5.2 China 71
5.10.5.3 Europe 71
5.10.5.4 Asia Pacific (excluding China) 71
5.10.6 IMPACT ON END-USER INDUSTRIES 72
5.10.6.1 Banking, financial services, and insurance (BFSI) 72
5.10.6.2 Healthcare and life sciences 72
5.10.6.3 Retail and e-commerce 72
5.10.6.4 Telecom and technology 72
5.10.6.5 Government and public sector 72
5.10.6.6 Manufacturing and industrial 72
6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS 73
6.1 KEY TECHNOLOGIES 73
6.1.1 SOFTWARE-DEFINED NETWORKING (SDN) 73
6.1.2 NETWORK FUNCTION VIRTUALIZATION (NFV) 73
6.1.3 INTENT-BASED NETWORKING (IBN) 73
6.1.4 ARTIFICIAL INTELLIGENCE (AI) & MACHINE LEARNING (ML) 74
6.2 ADJACENT TECHNOLOGIES 74
6.2.1 CLOUD COMPUTING 74
6.2.2 5G 74
6.2.3 NETWORK MONITORING & OBSERVABILITY 75
6.3 COMPLEMENTARY TECHNOLOGIES 75
6.3.1 DIGITAL TWIN 75
6.3.2 ROBOTIC PROCESS AUTOMATION (RPA) 75
6.4 TECHNOLOGY ROADMAP 76
6.4.1 SHORT-TERM (2026–2027) 76
6.4.2 MID-TERM (2028–2029) 76
6.4.3 LONG-TERM (2030+) 76
6.5 PATENT ANALYSIS 77
6.6 IMPACT OF AI/GEN AI ON NETWORK AUTOMATION MARKET 79
6.6.1 TOP USE CASES AND MARKET POTENTIAL 80
6.6.2 CASE STUDIES OF AI IMPLEMENTATION IN NETWORK AUTOMATION MARKET 80
6.6.3 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS 81
6.6.4 CLIENTS’ READINESS TO ADOPT GENERATIVE AI IN NETWORK AUTOMATION MARKET 81
7 REGULATORY LANDSCAPE 82
7.1 REGIONAL REGULATIONS AND COMPLIANCE 82
7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
7.1.2 KEY REGULATIONS 83
7.1.2.1 North America 83
7.1.2.1.1 US 83
7.1.2.1.2 Canada 83
7.1.2.2 Europe 84
7.1.2.3 Asia Pacific 84
7.1.2.3.1 South Korea 84
7.1.2.3.2 China 84
7.1.2.3.3 India 84
7.1.2.4 Middle East & Africa 84
7.1.2.4.1 UAE 84
7.1.2.4.2 KSA 84
7.1.2.5 Latin America 85
7.1.2.5.1 Brazil 85
7.1.2.5.2 Mexico 85
7.1.3 INDUSTRY STANDARDS 85
8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 86
8.1 DECISION-MAKING PROCESS 86
8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 88
8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 88
8.2.2 BUYING CRITERIA 89
8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 90
8.4 UNMET NEEDS OF VARIOUS END-USE INDUSTRIES 91
9 NETWORK AUTOMATION MARKET, BY OFFERING 93
9.1 INTRODUCTION 94
9.1.1 OFFERING: MARKET DRIVERS 94
9.2 SOFTWARE 95
9.2.1 ENABLING PROGRAMMABLE AND INTELLIGENT NETWORK OPERATIONS 95
9.3 SERVICES 96
9.3.1 PROFESSIONAL SERVICES 97
9.3.1.1 Enabling strategic implementation and integration of network automation 97
9.3.1.2 Advisory & consulting 99
9.3.1.3 Deployment & integration 100
9.3.1.4 Training & support 101
9.3.2 MANAGED SERVICES 102
9.3.2.1 Ensuring continuous optimization and reliable network operations 102
10 NETWORK AUTOMATION MARKET, BY NETWORK AUTOMATION TYPE 104
10.1 INTRODUCTION 105
10.1.1 NETWORK AUTOMATION TYPE: MARKET DRIVERS 105
10.2 ORCHESTRATION AUTOMATION 106
10.2.1 COORDINATING NETWORK WORKFLOWS AND RESOURCES TO SIMPLIFY OPERATIONS ACROSS COMPLEX ENVIRONMENTS 106
10.3 PROVISIONING AUTOMATION 107
10.3.1 ACCELERATING NETWORK RESOURCE DEPLOYMENT AND CONFIGURATION TO IMPROVE OPERATIONAL CONSISTENCY 107
10.4 SCRIPT-DRIVEN NETWORK AUTOMATION 108
10.4.1 ENABLING FLEXIBLE, TASK-SPECIFIC AUTOMATION THROUGH PROGRAMMABLE NETWORK WORKFLOWS 108
10.5 AI-DRIVEN NETWORK AUTOMATION 109
10.5.1 APPLYING AI AND ANALYTICS TO ENABLE PREDICTIVE, ADAPTIVE, AND INCREASINGLY AUTONOMOUS NETWORK OPERATIONS 109
10.6 INTENT-BASED NETWORK AUTOMATION 110
10.6.1 TRANSLATING HIGH-LEVEL OPERATIONAL REQUIREMENTS INTO DYNAMIC NETWORK POLICIES 110
10.7 NETWORK SECURITY AUTOMATION 111
10.7.1 AUTOMATING SECURITY POLICIES, THREAT RESPONSE, AND NETWORK PROTECTION TO IMPROVE RESILIENCE 111
10.8 OTHER NETWORK AUTOMATION TYPES 113
11 NETWORK AUTOMATION MARKET, BY NETWORK TYPE 114
11.1 INTRODUCTION 115
11.1.1 NETWORK TYPE: MARKET DRIVERS 115
11.2 DATA CENTER NETWORKS 116
11.2.1 AUTOMATING DATA CENTER OPERATIONS TO SUPPORT DYNAMIC WORKLOADS AND SCALABLE INFRASTRUCTURE 116
11.3 CLOUD NETWORKS 117
11.3.1 AUTOMATING CONNECTIVITY AND RESOURCE MANAGEMENT ACROSS DYNAMIC CLOUD ENVIRONMENTS 117
11.4 WIRELESS NETWORKS 118
11.4.1 AUTOMATING WIRELESS OPERATIONS TO IMPROVE PERFORMANCE AND CONNECTIVITY AT SCALE 118
11.5 SOFTWARE-DEFINED WIDE AREA NETWORKS (SD-WAN) 119
11.5.1 DISTRIBUTED WAN OPERATIONS THROUGH CENTRALIZED POLICY AND TRAFFIC MANAGEMENT 119
11.6 CAMPUS NETWORKS 120
11.6.1 ENTERPRISE CAMPUS MANAGEMENT THROUGH AUTOMATED PROVISIONING AND POLICY CONTROL 120
11.7 OTHER NETWORK TYPES 121
12 NETWORK AUTOMATION MARKET, BY END USER 123
12.1 INTRODUCTION 124
12.1.1 END USER: MARKET DRIVERS 124
12.2 SERVICE PROVIDERS 125
12.2.1 AUTOMATING LARGE-SCALE NETWORK OPERATIONS TO IMPROVE SERVICE AGILITY AND RESOURCE UTILIZATION 125
12.3 ENTERPRISES 126
12.3.1 MODERNIZING DISTRIBUTED NETWORK INFRASTRUCTURE THROUGH AUTOMATION 126
12.3.2 BFSI 128
12.3.3 HEALTHCARE 129
12.3.4 RETAIL & E-COMMERCE 130
12.3.5 MANUFACTURING 131
12.3.6 GOVERNMENT & DEFENSE 132
12.3.7 ENERGY & UTILITIES 133
12.3.8 OTHER ENTERPRISES 134
13 NETWORK AUTOMATION MARKET, BY REGION 136
13.1 INTRODUCTION 137
13.2 NORTH AMERICA 138
13.2.1 US 143
13.2.1.1 AI infrastructure and autonomous operations reshape enterprise networking 143
13.2.2 CANADA 147
13.2.2.1 Growing adoption of cloud-based and AI-assisted NetOps 147
13.3 EUROPE 152
13.3.1 UK 157
13.3.1.1 Moving network automation toward autonomous enterprise operations 157
13.3.2 GERMANY 162
13.3.2.1 Industrial complexity pushing automation deeper into network operations 162
13.3.3 FRANCE 167
13.3.3.1 Digital infrastructure expansion increasing need for coordinated network management 167
13.3.4 ITALY 171
13.3.4.1 Accelerating network automation for digital future to drive market 171
13.3.5 REST OF EUROPE 175
13.4 ASIA PACIFIC 175
13.4.1 CHINA 181
13.4.1.1 Large-scale telecom operations accelerating closed-loop network automation 181
13.4.2 JAPAN 185
13.4.2.1 Automation extending from network operations to infrastructure deployment 185
13.4.3 INDIA 189
13.4.3.1 Large and diverse telecom infrastructure increasing demand for centralized automation 189
13.4.4 REST OF ASIA PACIFIC 193
13.5 MIDDLE EAST & AFRICA 193
13.5.1 UAE 199
13.5.1.1 Strong digital infrastructure supporting advanced network automation adoption 199
13.5.2 KSA 203
13.5.2.1 Digital infrastructure investments creating demand for network orchestration 203
13.5.3 SOUTH AFRICA 208
13.5.3.1 Network reliability and operational continuity driving automation adoption 208
13.5.4 REST OF MIDDLE EAST & AFRICA 213
13.6 LATIN AMERICA 213
13.6.1 BRAZIL 218
13.6.1.1 Data center and telecom modernization supporting network automation 218
13.6.2 MEXICO 222
13.6.2.1 Backbone modernization creating foundation for automated network management 222
13.6.3 REST OF LATIN AMERICA 226
14 COMPETITIVE LANDSCAPE 227
14.1 INTRODUCTION 227
14.2 KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2023–2026 227
14.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY NETWORK AUTOMATION PLAYERS 227
14.3 REVENUE ANALYSIS, 2021–2025 229
14.4 MARKET SHARE ANALYSIS, 2025 229
14.5 BRAND/PRODUCT COMPARISON 231
14.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025 232
14.6.1 STARS 232
14.6.2 EMERGING LEADERS 232
14.6.3 PERVASIVE PLAYERS 232
14.6.4 PARTICIPANTS 233
14.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025 234
14.6.5.1 Company footprint 234
14.6.5.2 Region footprint 235
14.6.5.3 Offering footprint 236
14.6.5.4 Network type footprint 237
14.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025 238
14.7.1 PROGRESSIVE COMPANIES 238
14.7.2 RESPONSIVE COMPANIES 238
14.7.3 DYNAMIC COMPANIES 238
14.7.4 STARTING BLOCKS 238
14.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025 240
14.7.5.1 Detailed list of key startups/SMEs 240
14.7.5.2 Competitive benchmarking of key startups/SMEs 241
14.8 COMPANY VALUATION AND FINANCIAL METRICS 242
14.9 COMPETITIVE SCENARIO 243
14.9.1 PRODUCT LAUNCHES 243
14.9.2 DEALS 245
15 COMPANY PROFILES 247
15.1 KEY PLAYERS 247
15.1.1 CISCO 247
15.1.1.1 Business overview 247
15.1.1.2 Products/Solutions/Services offered 248
15.1.1.3 Recent developments 249
15.1.1.3.1 Product launches/enhancements 249
15.1.1.3.2 Deals 250
15.1.1.4 MnM view 251
15.1.1.4.1 Key strengths 251
15.1.1.4.2 Strategic choices 251
15.1.1.4.3 Weaknesses and competitive threats 251
15.1.2 HPE 252
15.1.2.1 Business overview 252
15.1.2.2 Products/Solutions/Services offered 253
15.1.2.3 Recent developments 254
15.1.2.3.1 Product launches/enhancements 254
15.1.2.3.2 Deals 255
15.1.2.4 MnM view 256
15.1.2.4.1 Key strengths 256
15.1.2.4.2 Strategic choices 257
15.1.2.4.3 Weaknesses and competitive threats 257
15.1.3 IBM 258
15.1.3.1 Business overview 258
15.1.3.2 Products/Solutions/Services offered 259
15.1.3.3 Recent developments 260
15.1.3.3.1 Product launches/enhancements 260
15.1.3.3.2 Deals 260
15.1.3.4 MnM view 261
15.1.3.4.1 Key strengths 261
15.1.3.4.2 Strategic choices 261
15.1.3.4.3 Weaknesses and competitive threats 261
15.1.4 HUAWEI 262
15.1.4.1 Business overview 262
15.1.4.2 Products/Solutions/Services offered 263
15.1.4.3 Recent developments 264
15.1.4.3.1 Product launches/enhancements 264
15.1.4.3.2 Deals 265
15.1.4.4 MnM view 265
15.1.4.4.1 Key strengths 265
15.1.4.4.2 Strategic choices 265
15.1.4.4.3 Weaknesses and competitive threats 265
15.1.5 NOKIA 266
15.1.5.1 Business overview 266
15.1.5.2 Products/Solutions/Services offered 267
15.1.5.3 Recent developments 268
15.1.5.3.1 Product launches/enhancements 268
15.1.5.3.2 Deals 269
15.1.5.4 MnM view 270
15.1.5.4.1 Key strengths 270
15.1.5.4.2 Strategic choices 270
15.1.5.4.3 Weaknesses and competitive threats 270
15.1.6 BROADCOM 271
15.1.6.1 Business overview 271
15.1.6.2 Products/Solutions/Services offered 272
15.1.6.3 Recent developments 273
15.1.6.3.1 Product launches/enhancements 273
15.1.6.3.2 Deals 273
15.1.7 ARISTA NETWORKS 274
15.1.7.1 Business overview 274
15.1.7.2 Products/Solutions/Services offered 275
15.1.7.3 Recent developments 276
15.1.7.3.1 Product launches/enhancements 276
15.1.7.3.2 Deals 277
15.1.8 ERICSSON 278
15.1.8.1 Business overview 278
15.1.8.2 Products/Solutions/Services offered 279
15.1.8.3 Recent developments 280
15.1.8.3.1 Product launches/enhancements 280
15.1.8.3.2 Deals 281
15.1.9 EXTREME NETWORKS 282
15.1.9.1 Business overview 282
15.1.9.2 Products/Solutions/Services offered 283
15.1.9.3 Recent developments 284
15.1.9.3.1 Product launches/enhancements 284
15.1.9.3.2 Deals 285
15.1.10 FUJITSU 286
15.1.10.1 Business overview 286
15.1.10.2 Products/Solutions/Services offered 287
15.1.10.3 Recent developments 288
15.1.10.3.1 Deals 288
15.2 OTHER PLAYERS 289
15.2.1 NETBRAIN TECHNOLOGIES 289
15.2.2 GLUWARE 290
15.2.3 SOLARWINDS 291
15.2.4 RIVERBED 292
15.2.5 FORWARD NETWORKS 293
15.2.6 PALO ALTO NETWORKS 294
15.3 STARTUPS/SMES 295
15.3.1 AVIZ NETWORKS 295
15.3.2 ITENTIAL 296
15.3.3 BACKBOX 297
15.3.4 FLOCK9 298
15.3.5 ANUTA NETWORKS 299
15.3.6 VERSA NETWORKS 300
15.3.7 INFOBLOX 301
15.3.8 AUVIK NETWORKS 302
15.3.9 ARRCUS 303
15.3.10 BLUECAT 304
15.3.11 STARDUST SYSTEMS 305
16 RESEARCH METHODOLOGY 306
16.1 RESEARCH DATA 306
16.1.1 SECONDARY DATA 307
16.1.1.1 Secondary sources 307
16.1.2 PRIMARY DATA 307
16.1.2.1 Breakup of primary profiles 308
16.1.2.2 Primary sources 308
16.1.2.3 Key industry insights 309
16.2 MARKET SIZE ESTIMATION 309
16.2.1 BOTTOM-UP APPROACH 310
16.2.2 TOP-DOWN APPROACH 313
16.3 MARKET BREAKUP AND DATA TRIANGULATION 314
16.4 MARKET FORECAST 315
16.5 RESEARCH ASSUMPTIONS 315
16.6 RESEARCH LIMITATIONS 316
17 APPENDIX 317
17.1 DISCUSSION GUIDE 317
17.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 320
17.3 CUSTOMIZATION OPTIONS 322
17.4 RELATED REPORTS 322
17.5 AUTHOR DETAILS 323