Summary

The global IT operations analytics (ITOA) market is valued at USD 26.8 billion in 2024 and is estimated to reach USD 127.4 billion in 2029, registering a CAGR of 36.6% during the forecast period.
With the rapidly changing IT industry and increased complexity of IT environments, a huge amount of operational data is generated. Earlier, enterprises used to rely on traditional data analytics tools that were not efficient which led to less ROI for large operational data. With the introduction of ITOA solutions, organizations could analyze operational data effectively to derive meaningful insights. ITOA solutions help organizations to quickly discover the cause of IT system performance problems and analyze them in a more scalable and cost-effective manner. Organizations can deploy these solutions to analyze significant amounts of operational data obtained from different applications. Deploying ITOA solutions with real-time analytical capabilities provides better analytical results.
“By application, the infrastructure management segment is projected to hold the largest market size during the forecast period.”
Infrastructure management involves supervision and optimization of the IT infrastructure, which consists of both physical and virtual elements in an enterprise, including server and storage management. This assures smooth and effective operation of systems, networking equipment, and data centers. Infrastructure management oversees performance and configurations while maintaining hardware and software for the overall IT environment. In this respect, infrastructure management tools in the ITOA market provide real-time insights about the health and performance of IT assets. Routine maintenance activities are carried out to undertake patching, updates, and hardware replacement for avoiding disruptions and system stability. Companies using predictive analytics technology are able to know and prepare for a number of problems in advance, before they begin to affect the company's operations.
“By technology, hybrid segment is registered to grow at the highest CAGR during the forecast period.”
Predictive analytics tech helps companies foresee and tackle potential problems before they affect operations. By using past data and machine learning predictive analytics in the ITOA market lets IT teams spot patterns, predict system actions, and stop outages or slowdowns. This capability is particularly important in today's complex IT environments, where failures or downtime can result in severe operational and financial consequences. With seamless and efficient IT operations remaining on the radar of every business, predictive analytics within the ITOA market accelerates very fast and moves to the top of the growth agenda.
“Asia Pacific is projected to witness the highest CAGR during the forecast period.”
The Asia Pacific region is currently undergoing rapid expansion and is emerging as the most rapidly growing market in the IT operations analytics market. Most of the organizations have started using analytics in an isolated way to address specific business issues, limiting the potential value to increase performance and efficiency. Countries like China, India, Japan, and South Korea are observing substantial investments in network and security management and anomaly detection solutions that would reduce downtime and total cost of ownership. The increasing adoption of cloud computing in this region provides opportunities to vendors to provide ITOA solutions in cloud. There has been a rapid rise in the demand for ITOA tools that identify security gaps in network infrastructure as well as web and mobile applications. These tools also reduce risks. Organizations have started deploying high-end ITOA solutions for analyzing huge chunks of IT operational data to extract valuable insights.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the ITOA market.
 By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%
 By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
 By Region: North America: 25%, Europe: 30%, Asia Pacific: 30%, Middle East & Africa: 10%, Latin America: 5%
Major vendors offering IT operations analytics solutions and services across the globe are Microsoft (US), IBM (US), Oracle (US), Cisco (US), OpenText (Canada), Hitachi (Japan), Dynatrace (US), Broadcom (US), SolarWinds (US), BMC Software (US), NetApp (US), Elastic (US), Nexthink (Switzerland), HCL Technologies (India), New Relic (US), ServiceNow (US), Dell Technologies (US), HPE (US), Cloud Software Group (US), Veritas Technologies (US), BigPanda (US), ExtraHop Networks (US), Squadcast (US), ScienceLogic (US), Apica (Sweden), Diamanti (US), MCG (Denmark), Evolven (US), XPLG (US), HEAL Software (US), Sumo Logic (US), Devo (US), meshIQ (US), and CloudFabrix (US).
Research Coverage
The market study covers IT operations analytics (ITOA) across segments. It aims at estimating the market size and the growth potential across different segments, such as offering (solutions [cloud & on-premises] and services), technology, data source, application, end user and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for IT operations analytics and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:

• Analysis of key drivers (proliferation of huge amounts of IT operations data, complex multi-cloud environments drive demand for unified IT operations analytics, need for real-time insights and automation to boost the adoption of the IT operations analytics solutions), restraints (frequent changes in IT operations, increasing complexities and dynamic nature of IT architecture, opportunities (increasing number of data centers, growing need of companies for holistic 360-degree visibility) and challenges (limited investments by organizations to upgrade the prevailing IT system, lack of skilled professional IT workforce)
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the IT operations analytics (ITOA) market.

• Market Development: Comprehensive information about lucrative markets – the report analyses the IT operations analytics (ITOA) market across varied regions.

• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in IT operations analytics market strategies; the report also helps stakeholders understand the pulse of the IT operations analytics market and provides them with information on key market drivers, restraints, challenges, and opportunities.

• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Cisco (US), IBM (US), Oracle (US), Microsoft (US) and Broadcom (US) among others in the IT operations analytics market.

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Table of Contents

1 INTRODUCTION 32
1.1 STUDY OBJECTIVES 32
1.2 MARKET DEFINITION 32
1.2.1 INCLUSIONS AND EXCLUSIONS 33
1.3 MARKET SCOPE 34
1.3.1 MARKET SEGMENTATION 34
1.3.2 YEARS CONSIDERED 35
1.4 CURRENCY CONSIDERED 35
1.5 STAKEHOLDERS 36
2 RESEARCH METHODOLOGY 38
2.1 RESEARCH DATA 38
2.1.1 SECONDARY DATA 39
2.1.2 PRIMARY DATA 39
2.1.2.1 Breakup of primary profiles 40
2.1.2.2 Key industry insights 40
2.2 DATA TRIANGULATION 41
2.3 MARKET SIZE ESTIMATION 42
2.3.1 TOP-DOWN APPROACH 42
2.3.2 BOTTOM-UP APPROACH 43
2.4 MARKET FORECAST 47
2.5 RESEARCH ASSUMPTIONS 48
2.6 LIMITATIONS OF STUDY 50
3 EXECUTIVE SUMMARY 51
4 PREMIUM INSIGHTS 57
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN IT OPERATIONS ANALYTICS MARKET 57
4.2 IT OPERATIONS ANALYTICS MARKET, BY KEY END USER 57
4.3 IT OPERATIONS ANALYTICS MARKET IN NORTH AMERICA, BY OFFERING AND
KEY VERTICAL 58
4.4 IT OPERATIONS ANALYTICS MARKET, BY REGION 58
5 MARKET OVERVIEW AND INDUSTRY TRENDS 59
5.1 INTRODUCTION 59
5.2 MARKET DYNAMICS 59
5.2.1 DRIVERS 60
5.2.1.1 Proliferation of extensive operational data 60
5.2.1.2 Complex multi-cloud environments drive demand for unified IT operations analytics 60
5.2.1.3 Increasing need for real-time insights and automation 60
5.2.2 RESTRAINTS 61
5.2.2.1 Frequent changes in IT operations 61
5.2.2.2 Increasing complexities and dynamic nature of IT architecture 61
5.2.3 OPPORTUNITIES 61
5.2.3.1 Rising count of data centers 61
5.2.3.2 Growing need for holistic 360-degree visibility 61
5.2.4 CHALLENGES 62
5.2.4.1 Limited investments by organizations to upgrade prevailing IT systems 62
5.2.4.2 Lack of skilled professional IT workforce 62
5.3 IT OPERATIONS ANALYTICS: EVOLUTION 63
5.4 SUPPLY CHAIN ANALYSIS 65
5.5 ECOSYSTEM ANALYSIS 66
5.5.1 SOLUTION PROVIDERS 67
5.5.2 SERVICE PROVIDERS 67
5.5.3 END USERS 67
5.5.4 REGULATORY BODIES 68
5.6 CASE STUDY ANALYSIS 68
5.6.1 HPE IT IMPLEMENTED OPERATIONS BRIDGE ANALYTICS FOR SPEEDY ISSUE RESOLUTION 68
5.6.2 JUPITER SHOP CHANNEL IMPLEMENTED SPLUNK TO UNIFY AND STREAMLINE DATA ANALYSIS PROCESSES 69
5.6.3 APPDYNAMICS HELPED ALASKA AIRLINES ACHIEVE FLAWLESS DIGITAL EXPERIENCES AND ENHANCED CUSTOMER SATISFACTION 69
5.6.4 BMC SOLUTIONS ENABLED BUCHANAN TECHNOLOGIES TO EFFECTIVELY MANAGE SURGE IN CALL VOLUMES WHILE MAINTAINING HIGH SERVICE QUALITY 70
5.6.5 NORLYS IMPLEMENTED SCIENCELOGIC’S SL1 PLATFORM TO STREAMLINE OPERATIONS AND ENHANCE PERFORMANCE 71
5.6.6 SUMO LOGIC HELPED MEDIDATA IDENTIFY AND CORRECT PROBLEMS QUICKLY 71
5.6.7 SPLUNK SOLUTIONS HELPED TRANSUNION IN QUICK DISCOVERY OF INCIDENT ROOT CAUSES AND INCREASED CUSTOMER SATISFACTION 72
5.7 REGULATORY LANDSCAPE 73
5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 73
5.7.1.1 North America 77
5.7.1.1.1 US 77
5.7.1.1.2 Canada 77
5.7.1.2 Europe 78
5.7.1.3 Asia Pacific 78
5.7.1.3.1 China 78
5.7.1.3.2 India 78
5.7.1.3.3 Japan 78
5.7.1.3.4 South Korea 78
5.7.1.4 Middle East & Africa 79
5.7.1.4.1 UAE 79
5.7.1.4.2 KSA 79
5.7.1.5 Latin America 79
5.7.1.5.1 Brazil 79
5.7.1.5.2 Mexico 79
5.8 PATENT ANALYSIS 80
5.8.1 METHODOLOGY 80
5.8.1.1 Patents filed, by document type 80
5.8.1.2 Innovation and patent applications 80
5.8.1.2.1 Key applicants in IT operations analytics market 81
5.9 TECHNOLOGY ANALYSIS 85
5.9.1 KEY TECHNOLOGIES 85
5.9.1.1 Big data analytics 85
5.9.1.2 Artificial Intelligence (AI) 86
5.9.1.3 Machine Learning (ML) 86
5.9.2 COMPLEMENTARY TECHNOLOGIES 86
5.9.2.1 Cloud computing 86
5.9.2.2 IoT 87
5.9.2.3 Edge computing 87
5.9.2.4 Containerization 87
5.9.3 ADJACENT TECHNOLOGIES 88
5.9.3.1 Cybersecurity 88
5.9.3.2 Robotic process automation 88
5.9.3.3 Data lakes 89
5.9.3.4 Blockchain 89
5.10 PRICING ANALYSIS 90
5.10.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP THREE APPLICATIONS 90
5.10.2 INDICATIVE PRICING ANALYSIS OF IT OPERATIONS ANALYTICS SOLUTIONS, BY OFFERING 91
5.11 INVESTMENT AND FUNDING SCENARIO 92
5.12 PORTER’S FIVE FORCES ANALYSIS 92
5.12.1 THREAT OF NEW ENTRANTS 93
5.12.2 THREAT OF SUBSTITUTES 93
5.12.3 BARGAINING POWER OF SUPPLIERS 94
5.12.4 BARGAINING POWER OF BUYERS 94
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 94
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 95
5.14 KEY CONFERENCES AND EVENTS, 2024–2025 96
5.15 KEY STAKEHOLDERS & BUYING CRITERIA 97
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 97
5.15.2 BUYING CRITERIA 98
5.16 TECHNOLOGY ROADMAP OF IT OPERATIONS ANALYTICS MARKET 99
5.17 STAGES OF IT OPERATIONS ANALYTICS 101
5.17.1 SEARCH 101
5.17.2 VISUALIZE 101
5.17.3 ANALYZE 101
5.18 IMPACT OF GENERATIVE AI ON IT OPERATIONS ANALYTICS MARKET 102
5.18.1 TOP USE CASES & MARKET POTENTIAL 102
5.18.1.1 Key use cases 102
5.18.2 PREDICTIVE MAINTENANCE 103
5.18.3 AUTOMATED INCIDENT RESPONSE 103
5.18.4 ANOMALY DETECTION 103
5.18.5 CAPACITY PLANNING 103
5.18.6 ROOT CAUSE ANALYSIS 103
5.18.7 PERFORMANCE MONITORING 103
6 IT OPERATIONS ANALYTICS MARKET, BY OFFERING 104
6.1 INTRODUCTION 105
6.1.1 OFFERING: IT OPERATIONS ANALYTICS MARKET DRIVERS 105
6.2 SOLUTION 107
6.2.1 INCREASING ADOPTION OF AI AND ML IN IT OPERATIONS TO DRIVE MARKET 107
6.2.2 CLOUD 108
6.2.3 ON-PREMISES 109
6.3 SERVICES 110
6.3.1 INCREASING DEMAND FOR DETECTION, PRIORITIZATION, DIAGNOSIS, AND RESOLUTION OF SERVICE ISSUES TO BOOST MARKET 110
6.3.2 PROFESSIONAL SERVICES 112
6.3.2.1 Consulting 114
6.3.2.2 System integration & implementation 114
6.3.2.3 Support & maintenance 115
6.3.3 MANAGED SERVICES 116
7 IT OPERATIONS ANALYTICS MARKET, BY DATA SOURCE 118
7.1 INTRODUCTION 119
7.1.1 DATA SOURCE: IT OPERATIONS ANALYTICS MARKET DRIVERS 119
7.2 MACHINE DATA 120
7.2.1 GROWING DEMAND FOR REAL-TIME SYSTEM VISIBILITY AND ANALYTICS TO BOLSTER MARKET GROWTH 120
7.3 WIRE DATA 121
7.3.1 COMPREHENSIVE, UNBIASED NETWORK VISIBILITY TO DRIVE DEMAND FOR WIRE DATA 121
7.4 AGENT DATA 122
7.4.1 INCREASING NEED FOR DETAILED PERFORMANCE METRICS TO PROPEL ADOPTION OF AGENT-BASED DATA 122
7.5 SYNTHETIC DATA 123
7.5.1 SIMULATED USER INTERACTIONS TO BOOST USE OF SYNTHETIC DATA 123
7.6 HUMAN DATA 124
7.6.1 RISING NEED FOR USER INSIGHTS TO ACCELERATE DEMAND FOR ANALYZING HUMAN DATA 124
8 IT OPERATIONS ANALYTICS MARKET, BY TECHNOLOGY 126
8.1 INTRODUCTION 127
8.1.1 TECHNOLOGY: IT OPERATIONS ANALYTICS MARKET DRIVERS 127
8.2 DESCRIPTIVE ANALYTICS 128
8.2.1 CLEAR UNDERSTANDING OF HISTORICAL DATA TO HELP IDENTIFY TRENDS AND PATTERNS 128
8.3 PREDICTIVE ANALYTICS 129
8.3.1 FORECASTING OF POTENTIAL SYSTEM ISSUES TO MINIMIZE DOWNTIME AND IMPROVE SYSTEM RELIABILITY 129
8.4 PRESCRIPTIVE ANALYTICS 130
8.4.1 ACTIONABLE INSIGHTS TO IMPROVE DECISION-MAKING AND EFFICIENCY 130
8.5 DIAGNOSTIC ANALYTICS 131
8.5.1 UNCOVERING ROOT CAUSES OF ISSUES TO ENHANCE RELIABILITY AND PERFORMANCE 131
9 IT OPERATIONS ANALYTICS MARKET, BY APPLICATION 133
9.1 INTRODUCTION 134
9.1.1 APPLICATION: IT OPERATIONS ANALYTICS MARKET DRIVERS 134
9.2 LOG MANAGEMENT & ANALYSIS 136
9.2.1 REAL-TIME INSIGHTS AND ENHANCED SECURITY TO ENSURE SMOOTH OPERATION AND SECURITY OF IT ENVIRONMENTS 136
9.3 APPLICATION PERFORMANCE MONITORING 137
9.3.1 OPTIMIZED APPLICATION PERFORMANCE TO ENSURE SEAMLESS USER EXPERIENCE AND BUSINESS CONTINUITY 137
9.4 ANOMALY DETECTION & ROOT CAUSE ANALYSIS 138
9.4.1 SURGING NEED FOR MINIMIZING DOWNTIME AND IMPROVING SYSTEM PERFORMANCE TO DRIVE MARKET 138
9.5 NETWORK MANAGEMENT 140
9.5.1 ADVANCED ANALYTICS AND MACHINE LEARNING TO HELP DETECT AND ADDRESS NETWORK ISSUES PROACTIVELY 140
9.6 IT SERVICE MANAGEMENT 141
9.6.1 AUTOMATION AND STREAMLINING OF PROCESSES TO REDUCE MANUAL EFFORT, MINIMIZE ERRORS, AND IMPROVE RESPONSE TIMES 141
9.7 INFRASTRUCTURE MANAGEMENT 142
9.7.1 TRACKING OF KEY METRICS TO HELP IN PROACTIVE ADDRESSING OF POTENTIAL ISSUES 142
9.8 SECURITY & EVENT MANAGEMENT 143
9.8.1 ROBUST SECURITY AND EVENT MANAGEMENT TO ENHANCE OPERATIONAL EFFICIENCY AND ENSURE SEAMLESS USER EXPERIENCE 143
9.9 OTHER APPLICATIONS 145
10 IT OPERATIONS ANALYTICS MARKET, BY END USER 147
10.1 INTRODUCTION 148
10.1.1 END USER: IT OPERATIONS ANALYTICS MARKET DRIVERS 148
10.2 BFSI 150
10.2.1 ROBUST ITOA SOLUTIONS TO HELP PROTECT CUSTOMER DATA FROM FRAUD AND THREATS 150
10.3 HEALTHCARE & LIFE SCIENCES 151
10.3.1 REAL-TIME DATA INSIGHTS TO DRIVE IMPROVED PATIENT CARE AND OPERATIONAL EFFICIENCY 151
10.4 RETAIL & ECOMMERCE 152
10.4.1 IMPROVING CUSTOMER EXPERIENCE AND INVENTORY MANAGEMENT THROUGH REAL-TIME DATA INSIGHTS 152
10.5 GOVERNMENT & DEFENSE 153
10.5.1 ENHANCING SECURITY THROUGH INFRASTRUCTURE MONITORING AND ANALYSIS 153
10.6 MANUFACTURING 155
10.6.1 MINIMIZING DOWNTIME AND OPTIMIZING PRODUCTION THROUGH EQUIPMENT PERFORMANCE MONITORING 155
10.7 IT & ITES 156
10.7.1 ENHANCING SERVICE RELIABILITY AND EFFICIENCY THROUGH REAL-TIME IT SYSTEM INSIGHTS 156
10.8 TRANSPORTATION & LOGISTICS 157
10.8.1 SURGING DEMAND FOR REAL-TIME TRACKING AND ROUTE MANAGEMENT TO BOOST MARKET 157
10.9 ENERGY & UTILITIES 158
10.9.1 OPTIMIZING DATA FOR PREDICTIVE MAINTENANCE AND OPERATIONAL EFFICIENCY IN INFRASTRUCTURE 158
10.10 TELECOMMUNICATION 159
10.10.1 SURGING NEED FOR REAL-TIME INSIGHTS INTO CUSTOMER BEHAVIORS, SERVICE USAGE PATTERNS, AND CUSTOMER INTERESTS TO DRIVE MARKET 159
10.11 OTHER END USERS 160
11 IT OPERATIONS ANALYTICS MARKET, BY REGION 162
11.1 INTRODUCTION 163
11.2 NORTH AMERICA 165
11.2.1 NORTH AMERICA: IT OPERATIONS ANALYTICS MARKET DRIVERS 165
11.2.2 MACROECONOMIC OUTLOOK 165
11.2.3 US 173
11.2.3.1 Increasing complexity of IT environments and increasing demand for advanced analytics tools to fuel market growth 173
11.2.4 CANADA 174
11.2.4.1 Government support and significant investments in infrastructure development to drive market 174
11.3 EUROPE 175
11.3.1 EUROPE: IT OPERATIONS ANALYTICS MARKET DRIVERS 175
11.3.2 EUROPE: MACROECONOMIC OUTLOOK 176
11.3.3 UK 182
11.3.3.1 Stringent data regulations and supportive policies to accelerate market growth 182
11.3.4 GERMANY 183
11.3.4.1 Highly skilled workforce and robust infrastructure to drive market 183
11.3.5 FRANCE 184
11.3.5.1 Adoption of advanced analytical technologies to foster market growth 184
11.3.6 SPAIN 185
11.3.6.1 Strategic focus on digital transformation and significant investments in high-tech sectors to bolster market growth 185
11.3.7 ITALY 186
11.3.7.1 Significant investments and government initiatives to foster growth 186
11.3.8 REST OF EUROPE 187
11.4 ASIA PACIFIC 188
11.4.1 ASIA PACIFIC: IT OPERATIONS ANALYTICS MARKET DRIVERS 188
11.4.2 MACROECONOMIC OUTLOOK 189
11.4.3 CHINA 197
11.4.3.1 Rapid technological advancements and investments to drive market 197
11.4.4 JAPAN 198
11.4.4.1 Government support for technological innovation and presence of leading tech companies to boost market 198
11.4.5 INDIA 199
11.4.5.1 Thriving technology landscape and increasing digitalization efforts to fuel market growth 199
11.4.6 SOUTH KOREA 200
11.4.6.1 Robust infrastructure and government initiatives to drive technological innovation 200
11.4.7 ASEAN 200
11.4.7.1 Proactive AI strategies and robust digital economies to drive market 200
11.4.8 AUSTRALIA & NEW ZEALAND 201
11.4.8.1 Growing need to revolutionize IT infrastructure with AI and advanced data analytics to fuel market growth 201
11.4.9 REST OF ASIA PACIFIC 202
11.5 MIDDLE EAST & AFRICA 203
11.5.1 MIDDLE EAST & AFRICA: IT OPERATIONS ANALYTICS MARKET DRIVERS 203
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 204
 
11.5.3 MIDDLE EAST 211
11.5.3.1 UAE 211
11.5.3.1.1 Strategic partnerships with leading tech giants to favor market growth 211
11.5.3.2 Saudi Arabia 212
11.5.3.2.1 Investment initiatives and strategic collaborations to propel market growth 212
11.5.3.3 Turkey 213
11.5.3.3.1 Digital transformation and tech innovation to boost market 213
11.5.3.4 Qatar 214
11.5.3.4.1 Digital transformation agenda and strategic investments in technology to boost market 214
11.5.3.5 Rest of Middle East 215
11.5.4 AFRICA 216
11.6 LATIN AMERICA 216
11.6.1 LATIN AMERICA: MARKET DRIVERS 217
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 217
11.6.3 BRAZIL 224
11.6.3.1 Increasing adoption of cloud computing, AI, and big data analytics to bolster market growth 224
11.6.4 MEXICO 225
11.6.4.1 Dynamic private sector and growing investments in digital transformation to boost market 225
11.6.5 ARGENTINA 226
11.6.5.1 Advancements in technology and supportive government initiatives to drive market 226
11.6.6 REST OF LATIN AMERICA 227
12 COMPETITIVE LANDSCAPE 228
12.1 OVERVIEW 228
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 228
12.3 REVENUE ANALYSIS 230
12.4 MARKET SHARE ANALYSIS 231
12.4.1 MARKET RANKING ANALYSIS 232
12.5 PRODUCT COMPARATIVE ANALYSIS 234
12.5.1 SPLUNK IT SERVICE INTELLIGENCE (CISCO) 234
12.5.2 IBM TURBONOMIC (IBM) 234
12.5.3 SCIENCELOGIC SL1 (SCIENCELOGIC) 235
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 235
12.6.1 STARS 235
12.6.2 EMERGING LEADERS 235
12.6.3 PERVASIVE PLAYERS 235
12.6.4 PARTICIPANTS 235
 
12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 237
12.6.5.1 Company footprint 237
12.6.5.2 Region footprint 238
12.6.5.3 Offering footprint 239
12.6.5.4 Application footprint 240
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 242
12.7.1 PROGRESSIVE COMPANIES 242
12.7.2 RESPONSIVE COMPANIES 242
12.7.3 DYNAMIC COMPANIES 242
12.7.4 STARTING BLOCKS 242
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 244
12.7.5.1 Detailed list of key startups/SMEs 244
12.7.5.2 Competitive benchmarking of key startups/SMEs 245
12.8 COMPETITIVE SCENARIO AND TRENDS 246
12.8.1 PRODUCT LAUNCHES 246
12.8.2 DEALS 249
12.9 COMPANY VALUATION AND FINANCIAL METRICS 253
13 COMPANY PROFILES 254
13.1 INTRODUCTION 254
13.2 MAJOR PLAYERS 255
13.2.1 IBM 255
13.2.1.1 Business overview 255
13.2.1.2 Products/Solutions/Services offered 256
13.2.1.3 Recent developments 257
13.2.1.3.1 Product launches 257
13.2.1.3.2 Deals 258
13.2.1.4 MnM view 260
13.2.1.4.1 Key strengths 260
13.2.1.4.2 Strategic choices 261
13.2.1.4.3 Weaknesses and competitive threats 261
13.2.2 CISCO 262
13.2.2.1 Business overview 262
13.2.2.2 Products/Solutions/Services offered 263
13.2.2.3 Recent developments 266
13.2.2.3.1 Product launches 266
13.2.2.3.2 Deals 267
13.2.2.4 MnM view 269
13.2.2.4.1 Key strengths 269
13.2.2.4.2 Strategic choices 270
13.2.2.4.3 Weaknesses and competitive threats 270
 
13.2.3 ORACLE 271
13.2.3.1 Business overview 271
13.2.3.2 Products/Solutions/Services offered 272
13.2.3.3 Recent developments 273
13.2.3.3.1 Product launches 273
13.2.3.3.2 Deals 275
13.2.3.3.3 Expansions 276
13.2.3.4 MnM view 277
13.2.3.4.1 Key strengths 277
13.2.3.4.2 Strategic choices 277
13.2.3.4.3 Weaknesses and competitive threats 277
13.2.4 OPENTEXT 278
13.2.4.1 Business overview 278
13.2.4.2 Products/Solutions/Services offered 279
13.2.4.3 Recent developments 280
13.2.4.3.1 Product launches 280
13.2.4.3.2 Deals 281
13.2.4.4 MnM view 282
13.2.4.4.1 Key strengths 282
13.2.4.4.2 Strategic choices 283
13.2.4.4.3 Weaknesses and competitive threats 283
13.2.5 MICROSOFT 284
13.2.5.1 Business overview 284
13.2.5.2 Products/Solutions/Services offered 285
13.2.5.3 Recent developments 286
13.2.5.3.1 Deals 286
13.2.6 DYNATRACE 288
13.2.6.1 Business overview 288
13.2.6.2 Products/Solutions/Services offered 289
13.2.6.3 Recent developments 290
13.2.6.3.1 Product launches 290
13.2.6.3.2 Deals 293
13.2.7 HITACHI 294
13.2.7.1 Business overview 294
13.2.7.2 Products/Solutions/Services offered 295
13.2.7.3 Recent developments 296
13.2.7.3.1 Product launches 296
13.2.7.3.2 Deals 298
 
13.2.8 BROADCOM 300
13.2.8.1 Business overview 300
13.2.8.2 Products/Solutions/Services offered 301
13.2.8.3 Recent developments 302
13.2.8.3.1 Product launches 302
13.2.8.3.2 Deals 302
13.2.9 SOLARWINDS 303
13.2.9.1 Business overview 303
13.2.9.2 Products/Solutions/Services offered 304
13.2.9.3 Recent developments 305
13.2.9.3.1 Product launches 305
13.2.9.3.2 Deals 307
13.2.10 BMC SOFTWARE 309
13.2.10.1 Business overview 309
13.2.10.2 Products/Solutions/Services offered 309
13.2.10.3 Recent developments 310
13.2.10.3.1 Product launches 310
13.2.10.3.2 Deals 311
13.3 MAJOR PLAYERS 313
13.3.1 NETAPP 313
13.3.2 ELASTIC 314
13.3.3 NEXTHINK 315
13.3.4 HCL TECHNOLOGIES 316
13.3.5 NEW RELIC 317
13.3.6 SERVICENOW 318
13.3.7 DELL TECHNOLOGIES 319
13.3.8 HPE 320
13.3.9 CLOUD SOFTWARE GROUP 321
13.3.10 VERITAS TECHNOLOGIES 322
13.4 STARTUPS/SMES 323
13.4.1 BIGPANDA 323
13.4.2 EXTRAHOP NETWORKS 324
13.4.3 SQUADCAST 325
13.4.4 SCIENCELOGIC 326
13.4.5 APICA 326
13.4.6 DIAMANTI 327
13.4.7 MCG A/S 328
13.4.8 EVOLVEN 329
13.4.9 XPLG 330
13.4.10 HEAL SOFTWARE 331
13.4.11 SUMO LOGIC 332
13.4.12 DEVO 333
13.4.13 MESHIQ 334
13.4.14 CLOUDFABRIX 335
14 ADJACENT AND RELATED MARKETS 336
14.1 INTRODUCTION 336
14.1.1 BIG DATA MARKET—GLOBAL FORECAST TO 2028 336
14.1.1.1 Market definition 336
14.1.1.2 Market overview 336
14.1.1.2.1 Big data market, by offering 338
14.1.1.2.2 Big data software market, by type 339
14.1.1.2.3 Big data software market, by deployment mode 340
14.1.1.2.4 Big data market, by business function 341
14.1.1.2.5 Big data market, by data type 342
14.1.1.2.6 Big data market, by vertical 343
14.1.1.2.7 Big data market, by region 345
14.1.2 AIOPS PLATFORM MARKET—GLOBAL FORECAST TO 2028 346
14.1.2.1 Market definition 346
14.1.2.2 Market overview 346
14.1.2.2.1 AIOps platform market, by offering 347
14.1.2.2.2 AIOps platform market, by service 348
14.1.2.2.3 AIOps platform market, by deployment mode 349
14.1.2.2.4 AIOps platform market, by application 349
14.1.2.2.5 AIOps platform market, by vertical 350
14.1.2.2.6 AIOps platform market, by region 351
15 APPENDIX 353
15.1 DISCUSSION GUIDE 353
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 359
15.3 CUSTOMIZATION OPTIONS 361
15.4 RELATED REPORTS 361
15.5 AUTHOR DETAILS 362