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2021
Aiops Market

AIOps Market by Component (Platform and Services), Application (Real-Time Analytics, Infrastructure Management, Network & Security Management, Application Performance Management, & Others), Deployment (On Premise and Cloud), and Industry Verticals (BFSI, Healthcare & Life Sciences, Retail & Consumer Goods, Telecom & IT, Manufacturing, Government, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2030

A12506
Pages: 361
Jul 2021 | 544 Views
   
Author(s) : Abhijith Nair , Vineet Kumar
Tables: 183
Charts: 83
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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AIOps Market Statistics: 2030

The global AIOps market size was valued at $26.33 billion in 2020, and is projected to reach $644.96 billion by 2030, registering a CAGR of 37.90% from  2021 to 2030. AIOps is the application of artificial intelligence to IT operations. It has become essential for monitoring and managing modern IT environments that are hybrid, dynamic, distributed and componentized. In a real world setting, the AIOps platform ingests heterogeneous data from many different sources about all components of the IT environment networks, applications, infrastructure, cloud instances, storage and more.

AIOps Market is expected to grow post the COVID-19 pandemic, due to rapid spread of coronavirus across the world and work-from-home policies introduced to counter the spread of the virus by minimizing contacts. Many businesses invested in AIOps solutions to ease the growing complexity in the IT needs of many business enterprises

In 2020, the global AIOps industry share was dominated by the platform segment, and is expected to maintain its dominance in the upcoming years. Conversational AIOps platforms come in all shapes and sizes. Some are point solutions to address specific needs, others such as Teneo provide enterprise needs to develop a global conversational AI interface. By application, the real-time analytics is estimated to emerge as fastest growing application. It applies logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data. On-demand real-time analytics waits for users or systems to request a query and then delivers the analytic results. Continuous real-time analytics is more proactive and alerts users or triggers responses as events occur.

AI-Ops-Market-2021-2030

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Asia-Pacific is predicted to grow at the highest CAGR during the AIOps market forecast period, as it is witnessing dynamic changes within the adoption of automation in various business functions across verticals. The demand for AI-powered solutions and services is growing across Asia-Pacific due to rapid generation of huge volumes of knowledge. AI-powered solutions and services, such as ML, drive innovations within the realm of knowledge analytics and address gaps associated with the previously used tools. This boosts the growth of the enterprises within Asia-Pacific to adopt big data technologies. APAC governments are actively investing in AI, but long-term solutions would take time to return into effect, due to structural reasons like insufficient data for ML and a shortage of AI professionals. As a result, progress within the implementation is going to be largely driven by the private sector innovation and at an equivalent time their ability to figure with local governments to tackle the infrastructure challenges and therefore the availability of the required skillset among the local manpower.

The report focuses on the growth prospects, restraints, and AIOps market analysis. The study provides Porter’s five forces analysis of the network security industry to understand impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the AIOps market trends.

AIOps Market
By Type

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Service segment is projected as one of the most lucrative segments.

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Segment review

The AIOps industry is mainly segmented on the basis of component, deployment mode, and application & industry verticals. Based on component, the market is segmented into platform and service, while on the basis deployment mode, the market is segmented into on premise and cloud. On the basis of application, it is segmented into real-time analytics, infrastructure management, network and security management, application performance management, and others. By industry verticals, the market is segmented into BFSI, healthcare and life sciences, retail and consumer goods, telecom and it, manufacturing, government, media and entertainment, and others. By region, the AIOps market is studied across North America, Europe, Asia-Pacific, and LAMEA.

AIOps Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

APAC is projected as one of the most significant region.

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COVID Impact Analysis

AIOps Market is expected to grow post the COVID-19 pandemic, due to rapid spread of coronavirus across the world and work-from-home policies introduced to counter the spread of the virus by minimizing contacts. Many businesses invested in AIOps solutions to ease the growing complexity in the IT needs of many business enterprises.

Furthermore, the limited availability of staff during the pandemic made it difficult for a traditional operational mode to function properly. Moreover, remote working exerted a lot more pressure on manual operational modes.

Top impacting factors    

Factors such as amount of data and alerts to be assessed and faster and more accurate root cause analysis drive the market growth. However, need for highly skilled professionals to implement and update and heavy functional demand restrain the market growth. Further, growth in awareness regarding the capabilities of AIOps in the enterprise and corporate world, increase in cloud adoption, and rise in data volumes are estimated to create lucrative opportunity for the AIOps market growth.

Faster and more accurate root cause analysis

With AIOps, enterprises can avail the benefit of faster root and more accurate root cause analysis for many internal and supply chain complications, which is difficult with manual processes traditionally used in enterprise and business environments. According to the poll conducted by Broadcom, around 97% of IT professionals believe that AIOps will provide actionable insights to assist in automating and improving overall IT operations activities. Such factors influence the overall growth of the global AIOps market opportunity in the coming years.

Increase in cloud adoption and rise in data volumes

As IT tools and devices become more and more sophisticated, DevOps systems have been evolving to be smarter for seamless and efficient business operations, resulting in an increase in the adoption of AIOps. Automation of these procedures is also being fueled by the growing usage of cloud computing throughout the world. As a result, more businesses are migrating to the cloud, and this is most likely to cause the need for AIOps platforms to surge even more in their AIOps market demands in the coming few years.

Moreover, growth of the AIOps market is also supported by digitization trends in small scale business enterprises, as more and more small and medium scale enterprises shift toward digital platforms for their operational needs, automation through AI becomes more viable and cost-effective for their business, paving new opportunities for their business.

Key Benefits For Stakeholders

  • The study provides an in-depth analysis of the AIOps market share along with the current trends and future estimations to elucidate imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on the AIOps market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the AIOps industry.
  • The quantitative analysis of AIOps market for the period 2020–2030 is provided to determine the market potential.

Key Market Segments

By Component

  • Platform
  • Services

By Deployment Mode

  • On Premise
  • Cloud

By Application

  • Real-Time Analytics
  • Infrastructure Management
  • Network & Security Management
  • Application Performance Management
  • Others

By Industry Vertical 

  • BFSI
  • Healthcare & Life Sciences
  • Retail & Consumer Goods
  • Telecom & IT
  • Manufacturing
  • Government
  • Media & Entertainment
  • Others

BY REGION

  • North America
    • U.S.
    • Canada
  • Europe 
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • Russia
    • Rest of Europe
  • Asia-Pacific 
    • China
    • India
    • Japan
    • India
    • Australia
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

KEY MARKET PLAYERS

  • BM
  • Splunk
  • CA Technologies
  • VMware
  • Micro Focus
  • HCL Technologies
  • Appdynamics
  • BMC Software
  • Moogsoft
  • Fixstream
 

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS

1.3.1.Key market players

1.4.RESEARCH METHODOLOGY

1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.KEY FINDINGS

2.1.1.Top impacting factors
2.1.2.Top investment pockets

2.2.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FORCES SHAPING THE AI OPS MARKET
3.3.MARKET DYNAMICS

3.3.1.Drivers

3.3.1.1.Amount of data and alerts to be assessed
3.3.1.2.Faster and more accurate root cause analysis

3.3.2.Restraints

3.3.2.1.Need for highly skilled professionals to implement and update
3.3.2.2.Heavy functional demands: 

3.3.3.Opportunities

3.3.3.1.Increasing awareness about the capabilities of AIOps in the enterprise and corporate world
3.3.3.2.Increasing cloud adoption and rising data volumes

3.4.COVID-19 IMPACT ANALYSIS ON THE AI OPS MARKET

3.4.1.Impact on market size
3.4.2.Consumer trends, preferences, and budget impact
3.4.3.Economic impact
3.4.4.Key player strategies to tackle negative impact
3.4.5.Opportunity window

CHAPTER 4:AI OPS MARKET, BY COMPONENT

4.1.OVERVIEW
4.2.PLATFORM

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.SERVICES

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

CHAPTER 5:AI OPS MARKET, BY DEPLOYMENT MODE

5.1.OVERVIEW
5.2.ON PREMISE

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.CLOUD

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

CHAPTER 6:AI OPS MARKET, BY APPLICATION

6.1.OVERVIEW
6.2.REAL TIME ANALYTICS

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.INFRASTRUCTURE MANAGEMENT

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

6.4.NETWORK AND SECURITY MANAGEMENT

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis, by country

6.5.OTHERS

6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market analysis, by country

CHAPTER 7:AI OPS MARKET, BY END USER

7.1.OVERVIEW
7.2.BFSI

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.HEALTHCARE AND LIFE SCIENCE

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

7.4.RETAIL AND CONSUMER GOODS

7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country

7.5.TELECOM AND IT

7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country

7.6.GOVERNMENT

7.6.1.Key market trends, growth factors, and opportunities
7.6.2.Market size and forecast, by region
7.6.3.Market analysis, by country

7.7.MEDIA AND ENTERTAINMENT

7.7.1.Key market trends, growth factors, and opportunities
7.7.2.Market size and forecast, by region
7.7.3.Market analysis, by country

7.8.OTHERS

7.8.1.Key market trends, growth factors, and opportunities
7.8.2.Market size and forecast, by region
7.8.3.Market analysis, by country

CHAPTER 8:AI OPS MARKET, BY REGION

8.1.OVERVIEW
8.2.NORTH AMERICA

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, By Component
8.2.3.Market size and forecast, by Deployment Mode
8.2.4.Market size and forecast, by Application
8.2.5.Market size and forecast, by End User
8.2.6.Market analysis, by country

8.2.6.1.U.S. 

8.2.6.1.1.Market size and forecast, By Component
8.2.6.1.2.Market size and forecast, by Deployment Mode
8.2.6.1.3.Market size and forecast, by Application
8.2.6.1.4.Market size and forecast, by End User

8.2.6.2.Canada

8.2.6.2.1.Market size and forecast, By Component
8.2.6.2.2.Market size and forecast, by Deployment Mode
8.2.6.2.3.Market size and forecast, by APPLICATION
8.2.6.2.4.Market size and forecast, by End User

8.3.EUROPE

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, By Component
8.3.3.Market size and forecast, by Deployment Mode
8.3.4.Market size and forecast, by APPLICATION
8.3.5.Market size and forecast, by End User
8.3.6.Market analysis, by country

8.3.6.1.UK

8.3.6.1.1.Market size and forecast, By Component
8.3.6.1.2.Market size and forecast, by Deployment Mode
8.3.6.1.3.Market size and forecast, by Application
8.3.6.1.4.Market size and forecast, by End User

8.3.6.2.Germany

8.3.6.2.1.Market size and forecast, By Component
8.3.6.2.2.Market size and forecast, by Deployment Mode
8.3.6.2.3.Market size and forecast, by Application
8.3.6.2.4.Market size and forecast, by End User

8.3.6.3.France

8.3.6.3.1.Market size and forecast, By Component
8.3.6.3.2.Market size and forecast, by Deployment Mode
8.3.6.3.3.Market size and forecast, by APPLICATION
8.3.6.3.4.Market size and forecast, by End User

8.3.6.4.Italy

8.3.6.4.1.Market size and forecast, By Component
8.3.6.4.2.Market size and forecast, by Deployment Mode
8.3.6.4.3.Market size and forecast, by APPLICATION
8.3.6.4.4.Market size and forecast, by End User

8.3.6.5.Spain

8.3.6.5.1.Market size and forecast, By Component
8.3.6.5.2.Market size and forecast, by Deployment Mode
8.3.6.5.3.Market size and forecast, by APPLICATION
8.3.6.5.4.Market size and forecast, by End User

8.3.6.6.Russia

8.3.6.6.1.Market size and forecast, By Component
8.3.6.6.2.Market size and forecast, by Deployment Mode
8.3.6.6.3.Market size and forecast, by APPLICATION
8.3.6.6.4.Market size and forecast, by End User

8.3.6.7.Rest of Europe

8.3.6.7.1.Market size and forecast, By Component
8.3.6.7.2.Market size and forecast, by Deployment Mode
8.3.6.7.3.Market size and forecast, by APPLICATION
8.3.6.7.4.Market size and forecast, by End User

8.4.ASIA-PACIFIC

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, By Component
8.4.3.Market size and forecast, by Deployment Mode
8.4.4.Market size and forecast, by APPLICATION
8.4.5.Market size and forecast, by End User
8.4.6.Market analysis, by country

8.4.6.1.China

8.4.6.1.1.Market size and forecast, By Component
8.4.6.1.2.Market size and forecast, by Deployment Mode
8.4.6.1.3.Market size and forecast, by APPLICATION
8.4.6.1.4.Market size and forecast, by End User

8.4.6.2.India

8.4.6.2.1.Market size and forecast, By Component
8.4.6.2.2.Market size and forecast, by Deployment Mode
8.4.6.2.3.Market size and forecast, by APPLICATION
8.4.6.2.4.Market size and forecast, by End User

8.4.6.3.Japan

8.4.6.3.1.Market size and forecast, By Component
8.4.6.3.2.Market size and forecast, by Deployment Mode
8.4.6.3.3.Market size and forecast, by APPLICATION
8.4.6.3.4.Market size and forecast, by End User

8.4.6.4.Australia

8.4.6.4.1.Market size and forecast, By Component
8.4.6.4.2.Market size and forecast, by Deployment Mode
8.4.6.4.3.Market size and forecast, by APPLICATION
8.4.6.4.4.Market size and forecast, by End User

8.4.6.5.South Korea

8.4.6.5.1.Market size and forecast, By Component
8.4.6.5.2.Market size and forecast, by Deployment Mode
8.4.6.5.3.Market size and forecast, by APPLICATION
8.4.6.5.4.Market size and forecast, by End User

8.4.6.6.Southeast Asia

8.4.6.6.1.Market size and forecast, By Component
8.4.6.6.2.Market size and forecast, by Deployment Mode
8.4.6.6.3.Market size and forecast, by APPLICATION
8.4.6.6.4.Market size and forecast, by End User

8.4.6.7.Rest of Asia-Pacific

8.4.6.7.1.Market size and forecast, By Component
8.4.6.7.2.Market size and forecast, by Deployment Mode
8.4.6.7.3.Market size and forecast, by APPLICATION
8.4.6.7.4.Market size and forecast, by End User

8.5.LAMEA

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, By Component
8.5.3.Market size and forecast, by Deployment Mode
8.5.4.Market size and forecast, by APPLICATION
8.5.5.Market size and forecast, by End User
8.5.6.Market analysis, by country

8.5.6.1.Latin America

8.5.6.1.1.Market size and forecast, By Componen
8.5.6.1.2.Market size and forecast, by Deployment Mode
8.5.6.1.3.Market size and forecast, by APPLICATION
8.5.6.1.4.Market size and forecast, by End User

8.5.6.2.Middle East

8.5.6.2.1.Market size and forecast, By Component
8.5.6.2.2.Market size and forecast, by Deployment Mode
8.5.6.2.3.Market size and forecast, by APPLICATION
8.5.6.2.4.Market size and forecast, by End User

8.5.6.3.Africa

8.5.6.3.1.Market size and forecast, By Component
8.5.6.3.2.Market size and forecast, by Deployment Mode
8.5.6.3.3.Market size and forecast, by APPLICATION
8.5.6.3.4.Market size and forecast, by End User

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.KEY PLAYER POSITIONING ANALYSIS, 2020
9.2.TOP WINNING STRATEGIES
9.3.COMPETITIVE DASHBOARD

CHAPTER 10:COMPANY PROFILE

10.1.APPDYNAMICS

10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Operating business segments
10.1.5.Product portfolio
10.1.6.R&D expenditure
10.1.7.Business performance
10.1.8.Key strategic moves and developments

10.2.BMC SOFTWARE, INC. 

10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.Key strategic moves and developments

10.3.CA TECHNOLOGIES

10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Operating business segments
10.3.5.Product portfolio
10.3.6.R&D expenditure
10.3.7.Business performance
10.3.8.Key strategic moves and developments

10.4.FIXSTREAM

10.4.1.Company overview
10.4.2.Key executives
10.4.3.Company snapshot
10.4.4.Product portfolio
10.4.5.Key strategic moves and developments

10.5.HCL TECHNOLOGIES LIMITED

10.5.1.Company overview
10.5.2.Key Executives
10.5.3.Company snapshot
10.5.4.Operating business segments
10.5.5.Product portfolio
10.5.6.Business performance
10.5.7.Key strategic moves and developments

10.6.INTERNATIONAL BUSINESS MACHINES CORPORATION

10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Operating business segments
10.6.5.Product portfolio
10.6.6.R&D Expenditure
10.6.7.Business performance
10.6.8.Key strategic moves and developments

10.7.MICRO FOCUS

10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D expenditure
10.7.7.Business performance
10.7.8.Key strategic moves and developments

10.8.MOOGSOFT

10.8.1.Company overview
10.8.2.Key executives
10.8.3.Company snapshot
10.8.4.Product portfolio
10.8.5.Key strategic moves and developments

10.9.SPLUNK INC. 

10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Operating business segments
10.9.5.Product portfolio
10.9.6.R&D expenditure
10.9.7.Business performance
10.9.8.Key strategic moves and developments

10.10.VMWARE, INC. 

10.10.1.Company overview
10.10.2.Key executives
10.10.3.Company snapshot
10.10.4.Operating business segments
10.10.5.Product portfolio
10.10.6.R&D expenditure
10.10.7.Business performance
10.10.8.Key strategic moves and developments

LIST OF TABLES

TABLE 01.AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 02.AI OPS MARKET FOR PLATFORM, BY REGION, 2020-2030 ($BILLION) 
TABLE 03.AI OPS MARKET FOR SERVICES, BY REGION, 2020-2030 ($BILLION) 
TABLE 04.GLOBAL AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2028($BILLION) 
TABLE 05.AI OPS MARKET REVENUE FOR ON PREMISE, BY REGION 2020-2028($BILLION) 
TABLE 06.AI OPS MARKET REVENUE FOR CLOUD, BY REGION, 2020-2028($BILLION) 
TABLE 07.AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 08.AI OPS MARKET FOR APPLICATION AND MOBILE DEVICE SECURITY, BY REGION, 2020-2030 ($BILLION) 
TABLE 09.INFRASTRUCTURE MANAGEMENT AI OPS MARKET, BY REGION, 2020-2030 ($BILLION) 
TABLE 10.NETWORK SECURITY MANGEMENT FOR AI OPS MARKET, BY REGION, 2020-2030 ($BILLION) 
TABLE 11.OTHERS  DEFINED SECURITY MARKET, BY REGION, 2020-2030 ($BILLION) 
TABLE 12.AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 13.AI OPS MARKET FOR BFSI, BY REGION, 2020-2030 ($BILLION) 
TABLE 14.AI OPS MARKET FOR HEALTHCARE AND LIFESCIENCE, BY REGION, 2020-2030 ($BILLION) 
TABLE 15.AI OPS MARKET FOR RETAIL AND CONSUMER GOODS, BY REGION, 2020-2030 ($BILLION) 
TABLE 16.AI OPS MARKET FOR IT AND TELECOM, BY REGION, 2020-2030 ($BILLION) 
TABLE 17.AI OPS MARKET FOR GOVERNMENT, BY REGION, 2020-2030 ($BILLION) 
TABLE 18.AI OPS MARKET FOR MEDIA AND ENTERTAINMENT, BY REGION, 2020-2030 ($BILLION) 
TABLE 19.AI OPS MARKET FOR OTHERS, BY REGION, 2020-2030 ($BILLION) 
TABLE 20.AI OPS MARKET, BY REGION, 2020-2030 ($BILLION) 
TABLE 21.NORTH AMERICA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 22.NORTH AMERICA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 23.NORTH AMERICA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 24.NORTH AMERICA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 25.NORTH AMERICA AI OPS MARKET, BY COUNTRY, 2020-2030 ($BILLION) 
TABLE 26.U.S. AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 27.U.S. AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 28.U.S. AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 29.U.S. AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 30.CANADA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 31.CANADA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 32.CANADA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 33.CANADA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 34.EUROPE AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 35.EUROPE AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 36.EUROPE AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 37.EUROPE AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 38.EUROPE AI OPS MARKET, BY COUNTRY, 2020-2030 ($BILLION) 
TABLE 39.UK AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 40.UK AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 41.UK AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 42.UK AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 43.GERMANY AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 44.GERMANY AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 45.GERMANY AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 46.GERMANY AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 47.FRANCE AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 48.FRANCE AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 49.FRANCE AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 50.FRANCE AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 51.ITALY AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 52.ITALY AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 53.ITALY AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 54.ITALY AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 55.SPAIN AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 56.SPAIN AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 57.SPAIN AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 58.SPAIN AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 59.RUSSIA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 60.RUSSIA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 61.RUSSIA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 62.RUSSIA AI OPS MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($BILLION) 
TABLE 63.REST OF EUROPE AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 64.REST OF EUROPE AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 65.REST OF EUROPE AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 66.REST OF EUROPE AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 67.ASIA-PACIFIC AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 68.ASIA-PACIFIC AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 69.ASIA-PACIFIC AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 70.ASIA-PACIFIC AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 71.ASIA-PACIFIC AI OPS MARKET, BY COUNTRY, 2020-2030 ($BILLION) 
TABLE 72.CHINA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 73.CHINA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 74.CHINA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 75.CHINA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 76.INDIA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 77.INDIA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 78.INDIA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 79.INDIA AI OPS MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($BILLION) 
TABLE 80.JAPAN AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 81.JAPAN AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 82.JAPAN AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 83.JAPAN AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 84.AUSTRALIA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 85.AUSTRALIA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 86.AUSTRALIA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 87.AUSTRALIA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 88.SOUTH KOREA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 89.SOUTH KOREA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 90.SOUTH KOREA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 91.SOUTH KOREA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 92.SOUTHEAST ASIA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 93.SOUTH KOREA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 94.SOUTHEAST ASIA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 95.SOUTH KOREA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 96.REST OF ASIA-PACIFIC AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 97.REST OF ASIA-PACIFIC AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 98.REST OF ASIA-PACIFIC AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 99.REST OF ASIA-PACIFIC AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 100.LAMEA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 101.LAMEA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 102.LAMEA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 103.LAMEA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 104.LAMEA AI OPS MARKET, BY COUNTRY, 2020-2030 ($BILLION) 
TABLE 105.LATIN AMERICA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 106.LATIN AMERICA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 107.LATIN AMERICA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 108.LATIN AMERICA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 109.MIDDLE EAST AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 110.MIDDLE EAST AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 111.MIDDLE EAST AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 112.MIDDLE EAST AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 113.AFRICA AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
TABLE 114.AFRICA AI OPS MARKET, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
TABLE 115.AFRICA AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
TABLE 116.AFRICA AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
TABLE 117.APPDYNAMICS: KEY EXECUTIVES
TABLE 118.APPDYNAMICS: COMPANY SNAPSHOT
TABLE 119.CISCO SYSTEMS, INC.: PRODUCT CATEGORIES
TABLE 120.APPDYNAMICS: PRODUCT PORTFOLIO
TABLE 121.BMC SOFTWARE, INC.: KEY EXECUTIVES
TABLE 122.BMC SOFTWARE, INC.: COMPANY SNAPSHOT
TABLE 123.BMC SOFTWARE, INC.: PRODUCT PORTFOLIO
TABLE 124.BROADCOM INC.: KEY EXECUTIVES
TABLE 125.CA TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 126.CA TECHNOLOGIES: OPERATING SEGMENTS
TABLE 127.BROADCOM INC.: AIOPS PRODUCT PORTFOLIO
TABLE 128.RESOLVE SYSTEMS: KEY EXECUTIVES
TABLE 129.FIXSTREAM: COMPANY SNAPSHOT
TABLE 130.FIXSTREAM: PRODUCT PORTFOLIO
TABLE 131.FIXSTREAM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 132.HCL TECHNOLOGIES LIMITED: KEY EXECUTIVES
TABLE 133.HCL TECHNOLOGIES LIMITED: COMPANY SNAPSHOT
TABLE 134.HCL TECHNOLOGIES LIMITED: OPERATING SEGMENTS
TABLE 135.HCL TECHNOLOGIES LIMITED: PRODUCT PORTFOLIO
TABLE 136.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 137.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 138.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 139.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 140.MICRO FOCUS: KEY EXECUTIVES
TABLE 141.MICRO FOCUS: COMPANY SNAPSHOT
TABLE 142.MICRO FOCUS: OPERATING SEGMENTS
TABLE 143.MICRO FOCUS: PRODUCT PORTFOLIO
TABLE 144.MOOGSOFT: KEY EXECUTIVES
TABLE 145.MOOGSOFT: COMPANY SNAPSHOT
TABLE 146.MOOGSOFT: PRODUCT PORTFOLIO
TABLE 147.SPLUNK INC.: KEY EXECUTIVES
TABLE 148.SPLUNK INC.: COMPANY SNAPSHOT
TABLE 149.SPLUNK INC.: OPERATING SEGMENTS
TABLE 150.BROADCOM INC.: AIOPS PRODUCT PORTFOLIO
TABLE 151.VMWARE, INC.: KEY EXECUTIVES
TABLE 152.VMWARE, INC.: COMPANY SNAPSHOT
TABLE 153.VMWARE, INC.: OPERATING SEGMENTS
TABLE 154.VMWARE, INC.: PRODUCT PORTFOLIO
TABLE 155.VMWARE, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

 FIGURE 01.KEY MARKET SEGMENTS
FIGURE 03.KEY FINDINGS
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 08.MODERATE THREAT OF SUBSTITUTES
FIGURE 09.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10.HIGH COMPETITIVE RIVALRY
FIGURE 11.MARKET DYNAMICS: GLOBAL AI OPS MARKET
FIGURE 12.AI OPS MARKET, BY COMPONENT, 2020-2030 ($BILLION) 
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR PLAFORM, BY COUNTRY,  2020 & 2030 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR SERVICES, BY COUNTRY,  2020 & 2030 (%)
FIGURE 15.GLOBAL AI OPS MARKET REVENUE, BY DEPLOYMENT MODE, 2020-2030 ($BILLION) 
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR ON PREMISE,  BY COUNTRY, 2020 & 2030(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR CLOUD,  BY COUNTRY, 2020 & 2030(%)
FIGURE 18.AI OPS MARKET, BY APPLICATION, 2020-2030 ($BILLION) 
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF REAL TIME ANALYTICS OF AI OPS MARKET, BY COUNTRY,  2020 & 2030(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF INFRASTRUCTURE MANAGEMENT AI OPS MARKET, BY COUNTRY,  2020 & 2030(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF NETWORK SECURITY GATEWAYS AI OPS MARKET, BY COUNTRY,  2020 & 2030(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF OTHERS AI OPS MARKET, BY COUNTRY,  2020 & 2030(%)
FIGURE 23.AI OPS MARKET, BY END USER, 2020-2030 ($BILLION) 
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR BFSI, BY COUNTRY,  2020 & 2030(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR HEALTHCARE AND LIFESCIENCE, BY COUNTRY,  2020 & 2030(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR RETAIL AND CONSUMER GOODS,  BY COUNTRY, 2020 & 2030(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR IT AND TELECOM,  BY COUNTRY, 2020 & 2030(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR GOVERNMENT,  BY COUNTRY, 2020 & 2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR MEDIA AND ENTERTAINMENT,  BY COUNTRY, 2020 & 2030(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF AI OPS MARKET FOR OTHERS,  BY COUNTRY, 2020 & 2030(%)
FIGURE 31.U.S. AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 32.CANADA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 33.UK AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 34.GERMANY AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 35.FRANCE AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 36.ITALY AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 37.SPAIN AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 38.RUSSIA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 39.REST OF EUROPE AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 40.CHINA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 41.INDIA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 42.JAPAN AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 43.AUSTRALIA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 44.SOUTH KOREA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 45.SOUTHEAST ASIA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 46.REST OF ASIA-PACIFIC AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 47.LATIN AMERICA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 48.MIDDLE EAST AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 49.AFRICA AI OPS MARKET, 2020-2030 ($BILLION) 
FIGURE 50.KEY PLAYER POSITIONING ANALYSIS: GLOBAL AI OPS MARKET
FIGURE 51.TOP WINNING STRATEGIES, BY YEAR, 2019-2021
FIGURE 52.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021
FIGURE 53.TOP WINNING STRATEGIES, BY COMPANY, 2019-2021
FIGURE 54.COMPETITIVE DASHBOARD
FIGURE 55.COMPETITIVE DASHBOARD
FIGURE 56.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 57.R&D EXPENDITURE, 2018–2020 ($MILLION) 
FIGURE 58.CISCO SYSTEMS, INC.: REVENUE, 2018–2020 ($MILLION) 
FIGURE 59.CISCO SYSTEMS, INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 60.CISCO SYSTEMS, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 61.R&D EXPENDITURE, 2018-2020 ($MILLION) 
FIGURE 62.BROADCOM INC.: REVENUE, 2018-2020 ($MILLION) 
FIGURE 63.BROADCOM INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 64.BROADCOM INC.: REVENUE SHARE BY REGION, 2020(%)
FIGURE 65.HCL TECHNOLOGIES LIMITED: REVENUE, 2018-2020 ($MILLION) 
FIGURE 66.HCL TECHNOLOGIES LIMITED: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 67.HCL TECHNOLOGIES LIMITED: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 68.R&D EXPENDITURE, 2018-2020 ($MILLION) 
FIGURE 69.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2018-2020 ($MILLION) 
FIGURE 70.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 71.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 72.R&D EXPENDITURE, 2018-2020 ($MILLION) 
FIGURE 73.MICRO FOCUS: REVENUE, 2018-2020 ($MILLION) 
FIGURE 74.MICRO FOCUS: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 75.MICRO FOCUS: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 76.R&D EXPENDITURE, 2018-2020 ($MILLION) 
FIGURE 77.SPLUNK INC.: REVENUE, 2018-2020 ($MILLION) 
FIGURE 78.SPLUNK INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 79.SPLUNK INC.: REVENUE SHARE BY REGION, 2020(%)
FIGURE 80.R&D EXPENDITURE, 2018-2020 ($MILLION) 
FIGURE 81.VMWARE, INC.: REVENUE, 2018–2020 ($MILLION) 
FIGURE 82.VMWARE, INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 83.VMWARE, INC.: REVENUE SHARE BY REGION, 2020 (%)

 
 

The AI Ops market is experiencing a rapid growth, as the number of users and their digital activities increase so does the number of alerts (security threats and system anomalies) to process all this information through traditional manual operation functions. Machine learning and Artificial Intelligence based IT operations solutions with automation functionality can help resolve many of such issues much faster and can help with better monitoring of the enterprise operations networks.

According to a survey conducted by Broadcom, more than 47% of the participating organizations reported over 50,00 alerts per month, with a traditional IT team these could occupy a large chunk of valuable human resources of an enterprise and come out to be way more costly. With AIOps such scenarios can be handled with minimal human intervention, freeing up the time and resources of a business.

Automation of business operations is providing top-level executives and business corporations newer ways to minimize their losses while enhancing efficiency and optimizing their workflow patterns in regular day-to-day business operations. With the help of Artificial Intelligence empowering the usual IT operations of a business organization, the whole process can be automated, making organizations to reassign their human capital to focus on stuff that is more dependent on manual operations and functioning. Furthermore, large-scale automation can reduce the risks of errors that manual human operations might introduce. These factors are becoming more and more solid as the capabilities of AIOps are expanding, leaving suggestions of a high market growth in the coming years.

The AI Ops market is competitive and comprises a number of regional and global vendors competing based on factors such as cost of solutions & services, reliability, efficiency of products, and support services. The market is concentrated with major players consuming 45-50% of the share. The degree of concentration is expected to remain same during the forecast period. Furthermore, the growing use of cloud computing, big data, and the Internet of Things, among other technologies, has altered the corporate landscape by fostering maximum agility to attain competitiveness.

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