세계의 IT 운영 분석(ITOA) 시장 : 제공별, 데이터 소스별, 기술별, 용도별, 최종사용자별, 지역별 - 예측(-2029년)

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.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Breakup of primary profiles
    • 2.1.2.2 Key industry insights
• 2.2 DATA TRIANGULATION
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 TOP-DOWN APPROACH
  • 2.3.2 BOTTOM-UP APPROACH
• 2.4 MARKET FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 LIMITATIONS OF STUDY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN IT OPERATIONS ANALYTICS MARKET
• 4.2 IT OPERATIONS ANALYTICS MARKET, BY KEY END USER
• 4.3 IT OPERATIONS ANALYTICS MARKET IN NORTH AMERICA, BY OFFERING AND KEY VERTICAL
• 4.4 IT OPERATIONS ANALYTICS MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Proliferation of extensive operational data
    • 5.2.1.2 Complex multi-cloud environments drive demand for unified IT operations analytics
    • 5.2.1.3 Increasing need for real-time insights and automation
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Frequent changes in IT operations
    • 5.2.2.2 Increasing complexities and dynamic nature of IT architecture
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Rising count of data centers
    • 5.2.3.2 Growing need for holistic 360-degree visibility
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Limited investments by organizations to upgrade prevailing IT systems
    • 5.2.4.2 Lack of skilled professional IT workforce
• 5.3 IT OPERATIONS ANALYTICS: EVOLUTION
• 5.4 SUPPLY CHAIN ANALYSIS
• 5.5 ECOSYSTEM ANALYSIS
  • 5.5.1 SOLUTION PROVIDERS
  • 5.5.2 SERVICE PROVIDERS
  • 5.5.3 END USERS
  • 5.5.4 REGULATORY BODIES
• 5.6 CASE STUDY ANALYSIS
  • 5.6.1 HPE IT IMPLEMENTED OPERATIONS BRIDGE ANALYTICS FOR SPEEDY ISSUE RESOLUTION
  • 5.6.2 JUPITER SHOP CHANNEL IMPLEMENTED SPLUNK TO UNIFY AND STREAMLINE DATA ANALYSIS PROCESSES
  • 5.6.3 APPDYNAMICS HELPED ALASKA AIRLINES ACHIEVE FLAWLESS DIGITAL EXPERIENCES AND ENHANCED CUSTOMER SATISFACTION
  • 5.6.4 BMC SOLUTIONS ENABLED BUCHANAN TECHNOLOGIES TO EFFECTIVELY MANAGE SURGE IN CALL VOLUMES WHILE MAINTAINING HIGH SERVICE QUALITY
  • 5.6.5 NORLYS IMPLEMENTED SCIENCELOGIC'S SL1 PLATFORM TO STREAMLINE OPERATIONS AND ENHANCE PERFORMANCE
  • 5.6.6 SUMO LOGIC HELPED MEDIDATA IDENTIFY AND CORRECT PROBLEMS QUICKLY
  • 5.6.7 SPLUNK SOLUTIONS HELPED TRANSUNION IN QUICK DISCOVERY OF INCIDENT ROOT CAUSES AND INCREASED CUSTOMER SATISFACTION
• 5.7 REGULATORY LANDSCAPE
  • 5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.7.1.1 North America
      • 5.7.1.1.1 US
      • 5.7.1.1.2 Canada
    • 5.7.1.2 Europe
    • 5.7.1.3 Asia Pacific
      • 5.7.1.3.1 China
      • 5.7.1.3.2 India
      • 5.7.1.3.3 Japan
      • 5.7.1.3.4 South Korea
    • 5.7.1.4 Middle East & Africa
      • 5.7.1.4.1 UAE
      • 5.7.1.4.2 KSA
    • 5.7.1.5 Latin America
      • 5.7.1.5.1 Brazil
      • 5.7.1.5.2 Mexico
• 5.8 PATENT ANALYSIS
  • 5.8.1 METHODOLOGY
    • 5.8.1.1 Patents filed, by document type
    • 5.8.1.2 Innovation and patent applications
      • 5.8.1.2.1 Key applicants in IT operations analytics market
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 KEY TECHNOLOGIES
    • 5.9.1.1 Big data analytics
    • 5.9.1.2 Artificial Intelligence (AI)
    • 5.9.1.3 Machine Learning (ML)
  • 5.9.2 COMPLEMENTARY TECHNOLOGIES
    • 5.9.2.1 Cloud computing
    • 5.9.2.2 IoT
    • 5.9.2.3 Edge computing
    • 5.9.2.4 Containerization
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Cybersecurity
    • 5.9.3.2 Robotic process automation
    • 5.9.3.3 Data lakes
    • 5.9.3.4 Blockchain
• 5.10 PRICING ANALYSIS
  • 5.10.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP THREE APPLICATIONS
  • 5.10.2 INDICATIVE PRICING ANALYSIS OF IT OPERATIONS ANALYTICS SOLUTIONS, BY OFFERING
• 5.11 INVESTMENT AND FUNDING SCENARIO
• 5.12 PORTER'S FIVE FORCES ANALYSIS
  • 5.12.1 THREAT OF NEW ENTRANTS
  • 5.12.2 THREAT OF SUBSTITUTES
  • 5.12.3 BARGAINING POWER OF SUPPLIERS
  • 5.12.4 BARGAINING POWER OF BUYERS
  • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
• 5.14 KEY CONFERENCES AND EVENTS, 2024-2025
• 5.15 KEY STAKEHOLDERS & BUYING CRITERIA
  • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.15.2 BUYING CRITERIA
• 5.16 TECHNOLOGY ROADMAP OF IT OPERATIONS ANALYTICS MARKET
• 5.17 STAGES OF IT OPERATIONS ANALYTICS
  • 5.17.1 SEARCH
  • 5.17.2 VISUALIZE
  • 5.17.3 ANALYZE
• 5.18 IMPACT OF GENERATIVE AI ON IT OPERATIONS ANALYTICS MARKET
  • 5.18.1 TOP USE CASES & MARKET POTENTIAL
    • 5.18.1.1 Key use cases
  • 5.18.2 PREDICTIVE MAINTENANCE
  • 5.18.3 AUTOMATED INCIDENT RESPONSE
  • 5.18.4 ANOMALY DETECTION
  • 5.18.5 CAPACITY PLANNING
  • 5.18.6 ROOT CAUSE ANALYSIS
  • 5.18.7 PERFORMANCE MONITORING

6 IT OPERATIONS ANALYTICS MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: IT OPERATIONS ANALYTICS MARKET DRIVERS
• 6.2 SOLUTION
  • 6.2.1 INCREASING ADOPTION OF AI AND ML IN IT OPERATIONS TO DRIVE MARKET
  • 6.2.2 CLOUD
  • 6.2.3 ON-PREMISES
• 6.3 SERVICES
  • 6.3.1 INCREASING DEMAND FOR DETECTION, PRIORITIZATION, DIAGNOSIS, AND RESOLUTION OF SERVICE ISSUES TO BOOST MARKET
  • 6.3.2 PROFESSIONAL SERVICES
    • 6.3.2.1 Consulting
    • 6.3.2.2 System integration & implementation
    • 6.3.2.3 Support & maintenance
  • 6.3.3 MANAGED SERVICES

7 IT OPERATIONS ANALYTICS MARKET, BY DATA SOURCE

• 7.1 INTRODUCTION
  • 7.1.1 DATA SOURCE: IT OPERATIONS ANALYTICS MARKET DRIVERS
• 7.2 MACHINE DATA
  • 7.2.1 GROWING DEMAND FOR REAL-TIME SYSTEM VISIBILITY AND ANALYTICS TO BOLSTER MARKET GROWTH
• 7.3 WIRE DATA
  • 7.3.1 COMPREHENSIVE, UNBIASED NETWORK VISIBILITY TO DRIVE DEMAND FOR WIRE DATA
• 7.4 AGENT DATA
  • 7.4.1 INCREASING NEED FOR DETAILED PERFORMANCE METRICS TO PROPEL ADOPTION OF AGENT-BASED DATA
• 7.5 SYNTHETIC DATA
  • 7.5.1 SIMULATED USER INTERACTIONS TO BOOST USE OF SYNTHETIC DATA
• 7.6 HUMAN DATA
  • 7.6.1 RISING NEED FOR USER INSIGHTS TO ACCELERATE DEMAND FOR ANALYZING HUMAN DATA

8 IT OPERATIONS ANALYTICS MARKET, BY TECHNOLOGY

• 8.1 INTRODUCTION
  • 8.1.1 TECHNOLOGY: IT OPERATIONS ANALYTICS MARKET DRIVERS
• 8.2 DESCRIPTIVE ANALYTICS
  • 8.2.1 CLEAR UNDERSTANDING OF HISTORICAL DATA TO HELP IDENTIFY TRENDS AND PATTERNS
• 8.3 PREDICTIVE ANALYTICS
  • 8.3.1 FORECASTING OF POTENTIAL SYSTEM ISSUES TO MINIMIZE DOWNTIME AND IMPROVE SYSTEM RELIABILITY
• 8.4 PRESCRIPTIVE ANALYTICS
  • 8.4.1 ACTIONABLE INSIGHTS TO IMPROVE DECISION-MAKING AND EFFICIENCY
• 8.5 DIAGNOSTIC ANALYTICS
  • 8.5.1 UNCOVERING ROOT CAUSES OF ISSUES TO ENHANCE RELIABILITY AND PERFORMANCE

9 IT OPERATIONS ANALYTICS MARKET, BY APPLICATION

• 9.1 INTRODUCTION
  • 9.1.1 APPLICATION: IT OPERATIONS ANALYTICS MARKET DRIVERS
• 9.2 LOG MANAGEMENT & ANALYSIS
  • 9.2.1 REAL-TIME INSIGHTS AND ENHANCED SECURITY TO ENSURE SMOOTH OPERATION AND SECURITY OF IT ENVIRONMENTS
• 9.3 APPLICATION PERFORMANCE MONITORING
  • 9.3.1 OPTIMIZED APPLICATION PERFORMANCE TO ENSURE SEAMLESS USER EXPERIENCE AND BUSINESS CONTINUITY
• 9.4 ANOMALY DETECTION & ROOT CAUSE ANALYSIS
  • 9.4.1 SURGING NEED FOR MINIMIZING DOWNTIME AND IMPROVING SYSTEM PERFORMANCE TO DRIVE MARKET
• 9.5 NETWORK MANAGEMENT
  • 9.5.1 ADVANCED ANALYTICS AND MACHINE LEARNING TO HELP DETECT AND ADDRESS NETWORK ISSUES PROACTIVELY
• 9.6 IT SERVICE MANAGEMENT
  • 9.6.1 AUTOMATION AND STREAMLINING OF PROCESSES TO REDUCE MANUAL EFFORT, MINIMIZE ERRORS, AND IMPROVE RESPONSE TIMES
• 9.7 INFRASTRUCTURE MANAGEMENT
  • 9.7.1 TRACKING OF KEY METRICS TO HELP IN PROACTIVE ADDRESSING OF POTENTIAL ISSUES
• 9.8 SECURITY & EVENT MANAGEMENT
  • 9.8.1 ROBUST SECURITY AND EVENT MANAGEMENT TO ENHANCE OPERATIONAL EFFICIENCY AND ENSURE SEAMLESS USER EXPERIENCE
• 9.9 OTHER APPLICATIONS

10 IT OPERATIONS ANALYTICS MARKET, BY END USER

• 10.1 INTRODUCTION
  • 10.1.1 END USER: IT OPERATIONS ANALYTICS MARKET DRIVERS
• 10.2 BFSI
  • 10.2.1 ROBUST ITOA SOLUTIONS TO HELP PROTECT CUSTOMER DATA FROM FRAUD AND THREATS
• 10.3 HEALTHCARE & LIFE SCIENCES
  • 10.3.1 REAL-TIME DATA INSIGHTS TO DRIVE IMPROVED PATIENT CARE AND OPERATIONAL EFFICIENCY
• 10.4 RETAIL & ECOMMERCE
  • 10.4.1 IMPROVING CUSTOMER EXPERIENCE AND INVENTORY MANAGEMENT THROUGH REAL-TIME DATA INSIGHTS
• 10.5 GOVERNMENT & DEFENSE
  • 10.5.1 ENHANCING SECURITY THROUGH INFRASTRUCTURE MONITORING AND ANALYSIS
• 10.6 MANUFACTURING
  • 10.6.1 MINIMIZING DOWNTIME AND OPTIMIZING PRODUCTION THROUGH EQUIPMENT PERFORMANCE MONITORING
• 10.7 IT & ITES
  • 10.7.1 ENHANCING SERVICE RELIABILITY AND EFFICIENCY THROUGH REAL-TIME IT SYSTEM INSIGHTS
• 10.8 TRANSPORTATION & LOGISTICS
  • 10.8.1 SURGING DEMAND FOR REAL-TIME TRACKING AND ROUTE MANAGEMENT TO BOOST MARKET
• 10.9 ENERGY & UTILITIES
  • 10.9.1 OPTIMIZING DATA FOR PREDICTIVE MAINTENANCE AND OPERATIONAL EFFICIENCY IN INFRASTRUCTURE
• 10.10 TELECOMMUNICATION
  • 10.10.1 SURGING NEED FOR REAL-TIME INSIGHTS INTO CUSTOMER BEHAVIORS, SERVICE USAGE PATTERNS, AND CUSTOMER INTERESTS TO DRIVE MARKET
• 10.11 OTHER END USERS

11 IT OPERATIONS ANALYTICS MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: IT OPERATIONS ANALYTICS MARKET DRIVERS
  • 11.2.2 MACROECONOMIC OUTLOOK
  • 11.2.3 US
    • 11.2.3.1 Increasing complexity of IT environments and increasing demand for advanced analytics tools to fuel market growth
  • 11.2.4 CANADA
    • 11.2.4.1 Government support and significant investments in infrastructure development to drive market
• 11.3 EUROPE
  • 11.3.1 EUROPE: IT OPERATIONS ANALYTICS MARKET DRIVERS
  • 11.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 11.3.3 UK
    • 11.3.3.1 Stringent data regulations and supportive policies to accelerate market growth
  • 11.3.4 GERMANY
    • 11.3.4.1 Highly skilled workforce and robust infrastructure to drive market
  • 11.3.5 FRANCE
    • 11.3.5.1 Adoption of advanced analytical technologies to foster market growth
  • 11.3.6 SPAIN
    • 11.3.6.1 Strategic focus on digital transformation and significant investments in high-tech sectors to bolster market growth
  • 11.3.7 ITALY
    • 11.3.7.1 Significant investments and government initiatives to foster growth
  • 11.3.8 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: IT OPERATIONS ANALYTICS MARKET DRIVERS
  • 11.4.2 MACROECONOMIC OUTLOOK
  • 11.4.3 CHINA
    • 11.4.3.1 Rapid technological advancements and investments to drive market
  • 11.4.4 JAPAN
    • 11.4.4.1 Government support for technological innovation and presence of leading tech companies to boost market
  • 11.4.5 INDIA
    • 11.4.5.1 Thriving technology landscape and increasing digitalization efforts to fuel market growth
  • 11.4.6 SOUTH KOREA
    • 11.4.6.1 Robust infrastructure and government initiatives to drive technological innovation
  • 11.4.7 ASEAN
    • 11.4.7.1 Proactive AI strategies and robust digital economies to drive market
  • 11.4.8 AUSTRALIA & NEW ZEALAND
    • 11.4.8.1 Growing need to revolutionize IT infrastructure with AI and advanced data analytics to fuel market growth
  • 11.4.9 REST OF ASIA PACIFIC
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: IT OPERATIONS ANALYTICS MARKET DRIVERS
  • 11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 11.5.3 MIDDLE EAST
    • 11.5.3.1 UAE
      • 11.5.3.1.1 Strategic partnerships with leading tech giants to favor market growth
    • 11.5.3.2 Saudi Arabia
      • 11.5.3.2.1 Investment initiatives and strategic collaborations to propel market growth
    • 11.5.3.3 Turkey
      • 11.5.3.3.1 Digital transformation and tech innovation to boost market
    • 11.5.3.4 Qatar
      • 11.5.3.4.1 Digital transformation agenda and strategic investments in technology to boost market
    • 11.5.3.5 Rest of Middle East
  • 11.5.4 AFRICA
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: MARKET DRIVERS
  • 11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 11.6.3 BRAZIL
    • 11.6.3.1 Increasing adoption of cloud computing, AI, and big data analytics to bolster market growth
  • 11.6.4 MEXICO
    • 11.6.4.1 Dynamic private sector and growing investments in digital transformation to boost market
  • 11.6.5 ARGENTINA
    • 11.6.5.1 Advancements in technology and supportive government initiatives to drive market
  • 11.6.6 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

• 12.1 OVERVIEW
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 12.3 REVENUE ANALYSIS
• 12.4 MARKET SHARE ANALYSIS
  • 12.4.1 MARKET RANKING ANALYSIS
• 12.5 PRODUCT COMPARATIVE ANALYSIS
  • 12.5.1 SPLUNK IT SERVICE INTELLIGENCE (CISCO)
  • 12.5.2 IBM TURBONOMIC (IBM)
  • 12.5.3 SCIENCELOGIC SL1 (SCIENCELOGIC)
• 12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 12.6.1 STARS
  • 12.6.2 EMERGING LEADERS
  • 12.6.3 PERVASIVE PLAYERS
  • 12.6.4 PARTICIPANTS
  • 12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
    • 12.6.5.1 Company footprint
    • 12.6.5.2 Region footprint
    • 12.6.5.3 Offering footprint
    • 12.6.5.4 Application footprint
• 12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
  • 12.7.1 PROGRESSIVE COMPANIES
  • 12.7.2 RESPONSIVE COMPANIES
  • 12.7.3 DYNAMIC COMPANIES
  • 12.7.4 STARTING BLOCKS
  • 12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    • 12.7.5.1 Detailed list of key startups/SMEs
    • 12.7.5.2 Competitive benchmarking of key startups/SMEs
• 12.8 COMPETITIVE SCENARIO AND TRENDS
  • 12.8.1 PRODUCT LAUNCHES
  • 12.8.2 DEALS
• 12.9 COMPANY VALUATION AND FINANCIAL METRICS

13 COMPANY PROFILES

• 13.1 INTRODUCTION
• 13.2 MAJOR PLAYERS
  • 13.2.1 IBM
    • 13.2.1.1 Business overview
    • 13.2.1.2 Products/Solutions/Services offered
    • 13.2.1.3 Recent developments
      • 13.2.1.3.1 Product launches
      • 13.2.1.3.2 Deals
    • 13.2.1.4 MnM view
      • 13.2.1.4.1 Key strengths
      • 13.2.1.4.2 Strategic choices
      • 13.2.1.4.3 Weaknesses and competitive threats
  • 13.2.2 CISCO
    • 13.2.2.1 Business overview
    • 13.2.2.2 Products/Solutions/Services offered
    • 13.2.2.3 Recent developments
      • 13.2.2.3.1 Product launches
      • 13.2.2.3.2 Deals
    • 13.2.2.4 MnM view
      • 13.2.2.4.1 Key strengths
      • 13.2.2.4.2 Strategic choices
      • 13.2.2.4.3 Weaknesses and competitive threats
  • 13.2.3 ORACLE
    • 13.2.3.1 Business overview
    • 13.2.3.2 Products/Solutions/Services offered
    • 13.2.3.3 Recent developments
      • 13.2.3.3.1 Product launches
      • 13.2.3.3.2 Deals
      • 13.2.3.3.3 Expansions
    • 13.2.3.4 MnM view
      • 13.2.3.4.1 Key strengths
      • 13.2.3.4.2 Strategic choices
      • 13.2.3.4.3 Weaknesses and competitive threats
  • 13.2.4 OPENTEXT
    • 13.2.4.1 Business overview
    • 13.2.4.2 Products/Solutions/Services offered
    • 13.2.4.3 Recent developments
      • 13.2.4.3.1 Product launches
      • 13.2.4.3.2 Deals
    • 13.2.4.4 MnM view
      • 13.2.4.4.1 Key strengths
      • 13.2.4.4.2 Strategic choices
      • 13.2.4.4.3 Weaknesses and competitive threats
  • 13.2.5 MICROSOFT
    • 13.2.5.1 Business overview
    • 13.2.5.2 Products/Solutions/Services offered
    • 13.2.5.3 Recent developments
      • 13.2.5.3.1 Deals
  • 13.2.6 DYNATRACE
    • 13.2.6.1 Business overview
    • 13.2.6.2 Products/Solutions/Services offered
    • 13.2.6.3 Recent developments
      • 13.2.6.3.1 Product launches
      • 13.2.6.3.2 Deals
  • 13.2.7 HITACHI
    • 13.2.7.1 Business overview
    • 13.2.7.2 Products/Solutions/Services offered
    • 13.2.7.3 Recent developments
      • 13.2.7.3.1 Product launches
      • 13.2.7.3.2 Deals
  • 13.2.8 BROADCOM
    • 13.2.8.1 Business overview
    • 13.2.8.2 Products/Solutions/Services offered
    • 13.2.8.3 Recent developments
      • 13.2.8.3.1 Product launches
      • 13.2.8.3.2 Deals
  • 13.2.9 SOLARWINDS
    • 13.2.9.1 Business overview
    • 13.2.9.2 Products/Solutions/Services offered
    • 13.2.9.3 Recent developments
      • 13.2.9.3.1 Product launches
      • 13.2.9.3.2 Deals
  • 13.2.10 BMC SOFTWARE
    • 13.2.10.1 Business overview
    • 13.2.10.2 Products/Solutions/Services offered
    • 13.2.10.3 Recent developments
      • 13.2.10.3.1 Product launches
      • 13.2.10.3.2 Deals
• 13.3 MAJOR PLAYERS
  • 13.3.1 NETAPP
  • 13.3.2 ELASTIC
  • 13.3.3 NEXTHINK
  • 13.3.4 HCL TECHNOLOGIES
  • 13.3.5 NEW RELIC
  • 13.3.6 SERVICENOW
  • 13.3.7 DELL TECHNOLOGIES
  • 13.3.8 HPE
  • 13.3.9 CLOUD SOFTWARE GROUP
  • 13.3.10 VERITAS TECHNOLOGIES
• 13.4 STARTUPS/SMES
  • 13.4.1 BIGPANDA
  • 13.4.2 EXTRAHOP NETWORKS
  • 13.4.3 SQUADCAST
  • 13.4.4 SCIENCELOGIC
  • 13.4.5 APICA
  • 13.4.6 DIAMANTI
  • 13.4.7 MCG A/S
  • 13.4.8 EVOLVEN
  • 13.4.9 XPLG
  • 13.4.10 HEAL SOFTWARE
  • 13.4.11 SUMO LOGIC
  • 13.4.12 DEVO
  • 13.4.13 MESHIQ
  • 13.4.14 CLOUDFABRIX

14 ADJACENT AND RELATED MARKETS

• 14.1 INTRODUCTION
  • 14.1.1 BIG DATA MARKET-GLOBAL FORECAST TO 2028
    • 14.1.1.1 Market definition
    • 14.1.1.2 Market overview
      • 14.1.1.2.1 Big data market, by offering
      • 14.1.1.2.2 Big data software market, by type
      • 14.1.1.2.3 Big data software market, by deployment mode
      • 14.1.1.2.4 Big data market, by business function
      • 14.1.1.2.5 Big data market, by data type
      • 14.1.1.2.6 Big data market, by vertical
      • 14.1.1.2.7 Big data market, by region
  • 14.1.2 AIOPS PLATFORM MARKET-GLOBAL FORECAST TO 2028
    • 14.1.2.1 Market definition
    • 14.1.2.2 Market overview
      • 14.1.2.2.1 AIOps platform market, by offering
      • 14.1.2.2.2 AIOps platform market, by service
      • 14.1.2.2.3 AIOps platform market, by deployment mode
      • 14.1.2.2.4 AIOps platform market, by application
      • 14.1.2.2.5 AIOps platform market, by vertical
      • 14.1.2.2.6 AIOps platform market, by region

15 APPENDIX

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS