Market Overview:
The global workload optimization software market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for cloud-based workload optimization software and the growing need for reducing data center costs. The on-premises segment is expected to dominate the global workload optimization software market during the forecast period, owing to its advantages such as improved security and control over data. However, the cloud-based segment is projected to grow at a higher CAGR than that of on-premises during the forecast period, due to its benefits such as scalability and flexibility.
Product Definition:
Workload Optimization Software is used to optimize the workload on a computer system. This can be done by either managing how resources are allocated or by managing the tasks that are run on the system. Workload optimization can improve performance and efficiency, and can help to extend the life of hardware.
On-premises:
On-premises software is a type of cloud computing that involves the installation of an application or service on the end user's system without relying on a remote server. The information being processed is stored and managed internally by the company, thereby eliminating third-party involvement. On-premises software solutions are generally used for data security and privacy protection as well as to maintain control over confidential information.
Cloud Based:
Cloud-based solutions are used to deploy, develop, and support software applications on the cloud. The major advantages of using cloud-based software include low cost of ownership and easy deployment. Cloud based workload optimization software is a type of SaaS (Software as a Service) solution that provides various benefits such as scalability, elasticity in terms of costs & resources along with improved ease-of-use for end users which results into increased productivity for organizations.
Application Insights:
The large enterprises segment dominated the global workload optimization software market in 2017. This can be attributed to factors such as larger data volumes, more complex business processes and a diverse set of applications across different industries. The segment is expected to retain its dominance over the forecast period owing to factors such as size and complexity of their operations which demand advanced IT infrastructure for managing resources effectively.
SMEs are projected to register the highest CAGR over the forecast period due to increasing adoption of cloud-based WLOs by small businesses for improving application performance and reducing costs associated with hardware investments. Furthermore, an increase in competition among SMEs resulting from rapid urbanization has led them towards adopting WLOs that offer easy-to-use interfaces along with comprehensive features at a reduced cost, driving growth among this category of end users.
Regional Analysis:
The Asia Pacific region accounted for the largest revenue share in 2017 and is expected to continue its dominance over the forecast period. The growth can be attributed to increasing adoption of cloud-based workload optimization software by small & medium enterprises (SMEs) and large enterprises. Furthermore, rising demand for high performance computing centers in countries such as China, Japan, South Korea, India among others is anticipated to drive regional market growth over the forecast period.
North America accounted for a significant revenue share in 2017 owing to presence of major players such as IBM Corporation; Hewlett Packard Enterprise Development LP; Microsoft Corporation; Cisco Systems Inc.; Oracle Corporation among others which are investing heavily on developing new products and enhancing their existing product portfolio with latest features that enable better resource management across multiple platforms including mainframe & distributed servers, virtual machines/servers etc. This factor is also expected to contribute toward regional market growth during the forecast period.
Growth Factors:
- Increasing demand for data center efficiency and optimization
- Proliferation of big data and the need for faster analysis
- The need to improve resource utilization to support business growth
- Growing trend of cloud adoption and the consequent increase in workloads5. Emergence of new technologies, such as artificial intelligence (AI) and machine learning (ML), that are increasing the complexity of enterprise workloads
Scope Of The Report
Report Attributes
Report Details
Report Title
Workload Optimization Software Market Research Report
By Type
On-premises, Cloud Based
By Application
Large Enterprises, SMEs
By Companies
Cisco, Hitachi Vantara, Intel, Cloudera, ActiveBatch, BMC, IBM, Dell, Stonebranch, SMA Technologies, Redwood, Broadcom
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
159
Number of Tables & Figures
112
Customization Available
Yes, the report can be customized as per your need.
Global Workload Optimization Software Market Report Segments:
The global Workload Optimization Software market is segmented on the basis of:
Types
On-premises, Cloud Based
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
Large Enterprises, SMEs
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:
- Cisco
- Hitachi Vantara
- Intel
- Cloudera
- ActiveBatch
- BMC
- IBM
- Dell
- Stonebranch
- SMA Technologies
- Redwood
- Broadcom
Highlights of The Workload Optimization 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:
- On-premises
- Cloud Based
- By Application:
- Large Enterprises
- SMEs
- 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 Workload Optimization 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.
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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?
Workload optimization software is a computer program that helps users to manage their work by optimizing the use of their time and resources. It can help employees to better understand how they are using their time, make better decisions about when and how to work, and improve productivity.
Some of the key players operating in the workload optimization software market are Cisco, Hitachi Vantara, Intel, Cloudera, ActiveBatch, BMC, IBM, Dell, Stonebranch, SMA Technologies, Redwood, Broadcom.
The workload optimization software market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Workload Optimization 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 Workload Optimization Software Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Workload Optimization 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 Workload Optimization 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 Workload Optimization Software Market Size & Forecast, 2018-2028 4.5.1 Workload Optimization Software Market Size and Y-o-Y Growth 4.5.2 Workload Optimization Software Market Absolute $ Opportunity
Chapter 5 Global Workload Optimization 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 Workload Optimization Software Market Size Forecast by Type
5.2.1 On-premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Workload Optimization 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 Workload Optimization Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Workload Optimization 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 Workload Optimization 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 Workload Optimization Software Analysis and Forecast
9.1 Introduction
9.2 North America Workload Optimization 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 Workload Optimization Software Market Size Forecast by Type
9.6.1 On-premises
9.6.2 Cloud Based
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 Workload Optimization Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
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 Workload Optimization Software Analysis and Forecast
10.1 Introduction
10.2 Europe Workload Optimization 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 Workload Optimization Software Market Size Forecast by Type
10.6.1 On-premises
10.6.2 Cloud Based
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 Workload Optimization Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
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 Workload Optimization Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Workload Optimization 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 Workload Optimization Software Market Size Forecast by Type
11.6.1 On-premises
11.6.2 Cloud Based
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 Workload Optimization Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
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 Workload Optimization Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Workload Optimization 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 Workload Optimization Software Market Size Forecast by Type
12.6.1 On-premises
12.6.2 Cloud Based
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 Workload Optimization Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
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) Workload Optimization Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Workload Optimization 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) Workload Optimization Software Market Size Forecast by Type
13.6.1 On-premises
13.6.2 Cloud Based
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) Workload Optimization Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
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 Workload Optimization Software Market: Competitive Dashboard
14.2 Global Workload Optimization Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cisco
14.3.2 Hitachi Vantara
14.3.3 Intel
14.3.4 Cloudera
14.3.5 ActiveBatch
14.3.6 BMC
14.3.7 IBM
14.3.8 Dell
14.3.9 Stonebranch
14.3.10 SMA Technologies
14.3.11 Redwood
14.3.12 Broadcom