Market Overview:
The global cloud-based workload scheduling software market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for cloud-based workload scheduling software from corporate organizations, government institutes, and others. Additionally, the growing trend of hybrid cloud is also contributing to the growth of this market. However, lack of awareness about benefits offered by cloud-based workload scheduling software may restrain the growth of this market during the forecast period.
Product Definition:
Cloud-based Workload Scheduling Software is software that allows users to schedule and manage their workloads remotely, through the cloud. This type of software can be very important for businesses, as it can help them optimize their resources and improve their efficiency.
Private Cloud:
Private cloud is a type of cloud computing that provides an organization with more control and ownership over its data. It allows the user to deploy a private network, which can be used by multiple organizations for their internal purposes. The technology offers benefits such as scalability, agility, and reliability in computing resources at lower costs compared to public or hybrid clouds.
Public Cloud:
Public cloud is a group of remote computing services that can be used by the general public as well as businesses. It provides shared pool of hardware resources that can be accessed by multiple users at the same time. The major advantage offered by this type of service is cost efficiency, since it uses economies of scale to provide more resources at lower prices.
Also, these services are easier to deploy than private clouds and offer greater scalability.
Application Insights:
The corporate organizations segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The growth of this segment can be attributed to factors such as increasing demand for flexible work schedules, need to reduce costs, and need for improved resource management. Furthermore, growing concerns regarding data breaches and employee safety are driving companies toward cloud-based WBS software solutions.
The government institutes segment is expected to register a notable CAGR during the forecast period owing to increased public-sector automation initiatives aimed at reducing costs associated with manual labor scheduling practices. Cloud-based Workload Scheduling Software (WBS) solutions are being adopted by govermnent institutes as they offer flexibility in terms of resource scheduling while ensuring compliance with regulatory requirements such as Americans With Disabilities Act (ADA).
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of major players such as Amazon Web Services, Inc.; IBM Corporation; and Google LLC. Moreover, increasing demand for cloud-based solutions to manage IT infrastructure has been driving regional growth. The region is expected to continue its dominance over the forecast period owing to factors such as high disposable income and growing adoption of emerging technologies by enterprises.
Asia Pacific is anticipated to witness significant growth over the next eight years owing with rapid developments taking place in countries like China and India pertaining internet infrastructure along with rising number of users opting for online shopping applications developed on AWS platform or using third-party hosted services providers offering cloud computing services based on AWS model.
Growth Factors:
- Increased demand for cloud-based workload scheduling software from small and medium businesses (SMBs) due to the growing trend of cloud adoption.
- The need for agility and faster time to market by enterprises is driving the demand for cloud-based workload scheduling software.
- Growing popularity of DevOps methodology is also fueling the growth of the Cloud-based Workload Scheduling Software market as it requires automation tools for continuous integration and delivery process.
- Increasing number of data centers worldwide is expected to create opportunities for vendors in the Cloud-based Workload Scheduling Software market over the next few years.
Scope Of The Report
Report Attributes
Report Details
Report Title
Cloud-based Workload Scheduling Software Market Research Report
By Type
Private Cloud, Public Cloud, Hybrid Clou
By Application
Corporate Organizations, Govermnent Instututes, Others
By Companies
IBM, Cisco, Microsoft, VMware, BMC Software, Broadcom, Wrike, ServiceNow, Symantec, Stonebranch, Sanicon Services, Cloudify, Adaptive Computing
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
135
Number of Tables & Figures
95
Customization Available
Yes, the report can be customized as per your need.
Global Cloud-based Workload Scheduling Software Market Report Segments:
The global Cloud-based Workload Scheduling Software market is segmented on the basis of:
Types
Private Cloud, Public Cloud, Hybrid Clou
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Corporate Organizations, Govermnent Instututes, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Cisco
- Microsoft
- VMware
- BMC Software
- Broadcom
- Wrike
- ServiceNow
- Symantec
- Stonebranch
- Sanicon Services
- Cloudify
- Adaptive Computing
Highlights of The Cloud-based Workload Scheduling Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Private Cloud
- Public Cloud
- Hybrid Clou
- By Application:
- Corporate Organizations
- Govermnent Instututes
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Cloud-based Workload Scheduling Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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- Consumer Insights
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Cloud-based workload scheduling software is a type of software that helps organizations manage their workflows and schedules. The software can be accessed from any device, and it can help organizations automate tasks and processes.
Some of the major players in the cloud-based workload scheduling software market are IBM, Cisco, Microsoft, VMware, BMC Software, Broadcom, Wrike, ServiceNow, Symantec, Stonebranch, Sanicon Services, Cloudify, Adaptive Computing.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Cloud-based Workload Scheduling Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Cloud-based Workload Scheduling Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Cloud-based Workload Scheduling Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Cloud-based Workload Scheduling Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Cloud-based Workload Scheduling Software Market Size & Forecast, 2018-2028
4.5.1 Cloud-based Workload Scheduling Software Market Size and Y-o-Y Growth
4.5.2 Cloud-based Workload Scheduling Software Market Absolute $ Opportunity
Chapter 5 Global Cloud-based Workload Scheduling Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Cloud-based Workload Scheduling Software Market Size Forecast by Type
5.2.1 Private Cloud
5.2.2 Public Cloud
5.2.3 Hybrid Clou
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Cloud-based Workload Scheduling Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Cloud-based Workload Scheduling Software Market Size Forecast by Applications
6.2.1 Corporate Organizations
6.2.2 Govermnent Instututes
6.2.3 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Cloud-based Workload Scheduling Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Cloud-based Workload Scheduling Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Cloud-based Workload Scheduling Software Analysis and Forecast
9.1 Introduction
9.2 North America Cloud-based Workload Scheduling Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Cloud-based Workload Scheduling Software Market Size Forecast by Type
9.6.1 Private Cloud
9.6.2 Public Cloud
9.6.3 Hybrid Clou
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Cloud-based Workload Scheduling Software Market Size Forecast by Applications
9.10.1 Corporate Organizations
9.10.2 Govermnent Instututes
9.10.3 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Cloud-based Workload Scheduling Software Analysis and Forecast
10.1 Introduction
10.2 Europe Cloud-based Workload Scheduling Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Cloud-based Workload Scheduling Software Market Size Forecast by Type
10.6.1 Private Cloud
10.6.2 Public Cloud
10.6.3 Hybrid Clou
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Cloud-based Workload Scheduling Software Market Size Forecast by Applications
10.10.1 Corporate Organizations
10.10.2 Govermnent Instututes
10.10.3 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Cloud-based Workload Scheduling Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Cloud-based Workload Scheduling Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Cloud-based Workload Scheduling Software Market Size Forecast by Type
11.6.1 Private Cloud
11.6.2 Public Cloud
11.6.3 Hybrid Clou
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Cloud-based Workload Scheduling Software Market Size Forecast by Applications
11.10.1 Corporate Organizations
11.10.2 Govermnent Instututes
11.10.3 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Cloud-based Workload Scheduling Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Cloud-based Workload Scheduling Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Cloud-based Workload Scheduling Software Market Size Forecast by Type
12.6.1 Private Cloud
12.6.2 Public Cloud
12.6.3 Hybrid Clou
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Cloud-based Workload Scheduling Software Market Size Forecast by Applications
12.10.1 Corporate Organizations
12.10.2 Govermnent Instututes
12.10.3 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Cloud-based Workload Scheduling Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Cloud-based Workload Scheduling Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Cloud-based Workload Scheduling Software Market Size Forecast by Type
13.6.1 Private Cloud
13.6.2 Public Cloud
13.6.3 Hybrid Clou
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Cloud-based Workload Scheduling Software Market Size Forecast by Applications
13.10.1 Corporate Organizations
13.10.2 Govermnent Instututes
13.10.3 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Cloud-based Workload Scheduling Software Market: Competitive Dashboard
14.2 Global Cloud-based Workload Scheduling Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Cisco
14.3.3 Microsoft
14.3.4 VMware
14.3.5 BMC Software
14.3.6 Broadcom
14.3.7 Wrike
14.3.8 ServiceNow
14.3.9 Symantec
14.3.10 Stonebranch
14.3.11 Sanicon Services
14.3.12 Cloudify
14.3.13 Adaptive Computing
