The AIOps Platform Market

Artificial Intelligence for IT Operations (AIOps) platform is considered to be developed from IT operations analytics (ITOA) and it refers to the solutions which deploy artificial intelligence and machine learning abilities to automate tasks and processes without any intervention of human. AIOps platforms gather, elucidate and analyze huge amount of IT data by applying various forms of algorithms to the data in real-time. AIOps is engaged in dealing with real-time data and enables an organization to identify the problems and automatically address them using several algorithms. Rising organization preference towards digital transformation and increasing adoption of many innovative technologies as to improve efficiency in businesses is a key factor projected to accelerated growth of the global AIOPs platform market in the coming years. In addition, surging demand for real time data analysis due to its ability to analyze huge amount of data through application of several algorithm is another factor anticipated to further boost growth of the target market over the forecast period. Moreover, the emergence of new technology, such as stream mining in-database analytics and in-memory analytics which provides real time analytical solutions for fraud detection, situational intelligence and customer interactions is another major factor projected to drive growth of the global market over the forecast period. Furthermore, the rising adoption of cloud-based platform among several industrial verticals such as healthcare, banking, e-commerce, etc., along with the installation of Internet of things devices– provides large volume of real time data which in turn is estimated to compel growth of the global AIOps platform market over the forecast period.

Ongoing trend witnessed in the target market is growing adoption of Internet of Things devices as to produce real time analysis among various industries is projected to support growth of the global AIOps platform market over the forecasted time span. In addition, the rising government initiatives for improving current infrastructure are anticipated to generate potential lucrative opportunities for the global AIOps platforms market over the forecast period.

The global AIOps Platform Market is segregated on the basis of Component as Platform and Services. Based on Organization Size the global AIOps Platform Market is segmented in Small and Mid-Size Companies and Large Enterprises. Based on Industry Vertical the global AIOps Platform Market is segmented in Banking, Financial Services, and Insurance, Healthcare and Life Sciences, Retail and Consumer Goods, IT and Telecom, Government, Manufacturing, Media and Entertainment and Others.

The global AIOps Platform Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The AIOps Platform Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Aims Innovation, AppDynamics, Inc., Appnomic Systems Pvt., Ltd., BMC Software, Inc., CA Technologies and others are among the major players in the global AIOps Platform Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In May 2020, IBM Corporation signed a contract with PagerDuty to connect human and machine data to provide a strong AIOps solution to PagerDuty customers. By leveraging more than 350 PagerDuty integrations and more than 11 years of analysis of how customers respond to events, IBM Watson AIOps will be able to offer users with complete information on events which may be of concern will effect on the IT department to act in real time to resolve problems.Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     AIOps Platform Market, By Component

5.1.      Key Points

5.2.  Platform

5.3.  Services

6.    AIOps Platform Market, By Organization Size

6.1.      Key Points

6.2. Small and Mid-Size Companies

6.3. Large Enterprises

7.     AIOps Platform Market, By Industry Vertical

7.1.      Key Points

7.2.  Banking, Financial Services, and Insurance

7.3.  Healthcare and Life Sciences

7.4.  Retail and Consumer Goods

7.5.  IT and Telecom

7.6.  Government

7.7.  Manufacturing

7.8.  Media and Entertainment

7.9.  Others

8.    Competitive Landscape

8.1.      Introduction

8.2.     Start-up companies- AIOps Platform Market

8.3.     Recent Developments

8.3.1.     Mergers & Acquisitions

8.3.2.    New Product Developments

8.3.3.    Portfolio/Production Capacity Expansions

8.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

8.3.5.    Others

9.    Company Profile

9.1.  Aims Innovation

9.2. AppDynamics, Inc.

9.3. Appnomic Systems Pvt., Ltd.

9.4. BMC Software, Inc.

9.5.  CA Technologies

9.6. CloudFabrix Software Inc.,

9.7.  Correlsense Inc.

9.8. Corvil Limited

9.9. Devo

9.10.                   Dynatrace LLC

9.11.                     Extrahop Networks

9.12.                   FixStream Networks Inc.

9.13.                    GAVS Technologies N.A., Inc

9.14.                   Grok

9.15.                    HCL Technologies Ltd.

9.16.                   IBM Corporation