Market Overview

Global Cognitive Operations Market 2018-2023 - Focus on ITOA, APM, Infrastructure Management, Network Analytics, and Security Analytics


Dublin, Aug. 16, 2018 (GLOBE NEWSWIRE) -- The "Cognitive Operations Market by Component (Solutions and Services), Application (ITOA, APM, Infrastructure Management, Network Analytics, and Security Analytics), Deployment Mode, Enterprise Size, Vertical, and Region - Global Forecast to 2023" report has been added to's offering.

The global cognitive operations market size is expected to grow from USD 7.27 billion in 2018 to USD 21.67 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 24.4% during the forecast period.

The report segments the global cognitive operations market by component (solutions and services), deployment mode, application, enterprise size, vertical, and region. Cognitive operations solutions help providers of Artificial Intelligence (AI), cognitive, and analytics solutions and services, government agencies, consulting firms, independent software vendors, cloud service providers, Information Technology (IT) directors/managers, system integrators, Managed Security Service Providers (MSSPs), and value-added resellers to solve various IT operations problems and optimize the IT operations processes.

The major growth factors for the market include the growing need to monitor the complex IT environment, and an increasing focus on the adoption of cloud-based cognitive IT operations solutions. Cognitive operations solutions enable organizations to automatically build predictive models by analyzing the data collected from various IT operations tools and devices, thus optimizing IT operations, automating manual and repetitive tasks, and proactively responding to problems in real time.

However, for Small and Medium-sized Enterprises (SMEs), it becomes a challenge to invest a huge capital for developing solutions. Therefore, budget constraints may restrain the growth of cognitive operations market.

Security analytics application to register the fastest growth rate during the forecast period

Based on applications, the cognitive operations market has segments of IT operations analytics (ITOA), application performance management (APM), infrastructure management, network analytics, security analytics, and others (log and event management, predictive maintenance, anomaly detection, app experience analytics, and root cause analytics). As security analytics applications enable organizations to identify the emerging security threats with the help of evidence-based knowledge, the demand for these applications will grow among enterprises to quickly respond to the emerging threats.

Asia Pacific (APAC) to register growth at the highest CAGR during the forecast period

APAC is expected to grow at the highest CAGR in the global cognitive operations market during the forecast period. Major growth factors for the market in APAC include the increasing complexities in IT environment, growing adoption of cognitive operations solutions in the Banking, Financial Services, and Insurance (BFSI) vertical for optimizing the IT operations processes, and a growing demand to deliver an enhanced customer experience across all the major industry verticals. North America is expected to hold the largest market size during the forecast period, owing to the growth in Research and Development (R&D) and advancements in the cognitive technology.

In the process to determine and verify the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in the Cognitive Operations Market
4.2 Market By Vertical
4.3 Market Analysis, By Region

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers Growing Need to Monitor the Complex IT Environment Increasing Focus Toward Adoption of Cloud-Based Cognitive IT Operations Solutions
5.2.2 Restraints Lack of Skills and Expertise
5.2.3 Opportunities Growing Need to Deliver an Enhanced Customer Experience Increasing Need to Analyze Growing IT Operations Data
5.2.4 Challenges Constantly Changing IT Operations Environment Integration of Cognitive Operations Capabilities With the Existing Systems
5.3 Cognitive Operations Market: Use Cases
5.3.1 Use Case 1: AI-Powered Monitoring Solutions to Enhance the Customer Experience (IT Services)
5.3.2 Use Case 2: AI-Powered Software for Enterprise Security (Digital Marketing and Media)
5.3.3 Use Case 3: AI-Powered Capacity Optimization Solution to Improve the Efficiency and Reduce the Cost of IT Resources (Italian Bank)
5.3.4 Use Case 4: AI-Powered Platform to Simplify Infrastructure Management and Improve Transparency (IT Service)
5.3.5 Use Case 5: AI-Powered Platform to Improve Customer Experience (Banking and Finance)
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 Sarbanes-Oxley Act 2002
5.4.3 General Data Protection Regulation
5.4.4 Basel

6 Cognitive Operations Market, By Component
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.2 Platforms
6.3 Services
6.3.1 Deployment and Integration
6.3.2 Training and Consulting
6.3.3 Support and Maintenance

7 Market By Application
7.1 Introduction
7.2 IT Operations Analytics
7.3 Application Performance Management
7.4 Infrastructure Management
7.5 Network Analytics
7.6 Security Analytics
7.7 Others

8 Cognitive Operations Market, By Deployment Mode
8.1 Introduction
8.2 Cloud
8.3 On-Premises

9 Market By Enterprise Size
9.1 Introduction
9.2 Large Enterprises
9.3 Small and Medium-Sized Enterprises

10 Cognitive Operations Market, By Vertical
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.3 Healthcare and Life Sciences
10.4 IT and Telecom
10.5 Retail and Ecommerce
10.6 Manufacturing
10.7 Government
10.8 Media and Entertainment
10.9 Others

11 Cognitive Operations Market, By Region

12 Competitive Landscape
12.1 Overview
12.2 Top Players in the Cognitive Operations Market
12.3 Competitive Scenario
12.3.1 New Product Launches/Product Upgradations
12.3.2 Partnerships and Collaborations
12.3.3 Mergers and Acquisitions

13 Company Profiles
13.1 Introduction
13.2 IBM
13.3 CA Technologies
13.4 Micro Focus
13.5 VMware
13.6 Splunk
13.7 BMC Software
13.8 HCL Technologies
13.9 New Relic
13.10 Servicenow
13.11 Cloudfabrix
13.12 Loom Systems
13.13 Dynatrace
13.14 Devo
13.15 Logz.Io
13.16 Corvil
13.17 Interlink Software Services
13.18 Correlata
13.19 Science Logic
13.20 Sumo Logic
13.21 Risc Networks
13.22 Bay Dynamics
13.23 Appnomic
13.24 Appdynamics
13.25 Zenoss
13.26 Ymor

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Related Topics: Machine Learning and Data Mining

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