Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Workload Optimization Software Market by Type (On-premises, Cloud Based), By Application (Large Enterprises, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Workload Optimization Software Market by Type (On-premises, Cloud Based), By Application (Large Enterprises, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 224733 4200 Service & Software 377 159 Pages 4.7 (33)
                                          

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.


Global Workload Optimization Software Industry Outlook


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:

  1. Cisco
  2. Hitachi Vantara
  3. Intel
  4. Cloudera
  5. ActiveBatch
  6. BMC
  7. IBM
  8. Dell
  9. Stonebranch
  10. SMA Technologies
  11. Redwood
  12. Broadcom

Global Workload Optimization Software Market Overview


Highlights of The Workload Optimization Software Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. On-premises
    2. Cloud Based
  1. By Application:

    1. Large Enterprises
    2. SMEs
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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.

How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
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  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
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Global Workload Optimization Software Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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

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