Market Overview:
The global intelligent workload management market is expected to grow from USD 2.02 billion in 2018 to USD 4.06 billion by 2030, at a CAGR of 10.5% during the forecast period. The growth of the market can be attributed to the increasing demand for cloud-based services and growing need for optimized data center operations. However, lack of awareness about intelligent workload management solutions among enterprises may restrain the growth of this market during the forecast period. Based on type, the global intelligent workload management market is segmented into software and services. The software segment is further divided into tools and platforms/suites segments. The tools segment includes schedulers, resource monitors, performance analyzers, and others (storage virtualization products). The platforms/suites segment includes IBM SmartCloud Orchestrator (IBM SCO), VMware vRealize Suite (VMware VRS), Microsoft System Center 2012 R2 Orchestrator (Microsoft SCO), Oracle Enterprise Manager Ops Center 12c Cloud Edition (Oracle EM OC12CE), Hewlett Packard HP Operations Manager iSO 9500 Edition for Clouds(HP OM iSO9500E) Others).
Product Definition:
Intelligent Workload Management (IWM) is a set of software capabilities that optimize the usage of computing resources to improve the performance and efficiency of data-intensive applications. IWM can automatically identify and migrate workloads to the most appropriate compute infrastructure, whether on-premises or in the cloud, maximizing performance and minimizing costs.
– Improved application performance: By migrating workloads to where they can run most efficiently, IWM can help improve application performance by up to 30%.
– Reduced costs: By optimizing resource utilization, IWM can help reduce total IT spending by up to 20%.
– Increased agility: With dynamic allocation of resources, IWM helps organizations respond quickly to changes in business demands.
Software:
Software is the part of IT that helps to manage and automate tasks. In IWLM market, software plays a vital role in workload management. It helps in automating various processes such as data processing, system monitoring and configuration management among others. The growth factor for this market includes factors such as growing need for automation of business processes across organizations coupled with increasing adoption rate of cloud computing services which are further expected to increase the demand for software solutions over forecast period.
Services:
The services are used to deploy, configure, operate and manage applications across various computing platforms. It helps in optimizing business operations and delivering enhanced user experience. The service plays a vital role in increasing the performance of IT infrastructure by managing the complexities involved in application delivery over the cloud.
Intelligent workload management is about controlling or monitoring programs that perform specific tasks without human intervention.
Application Insights:
The manufacturing sector accounted for the largest market share in 2017 and is expected to grow at a significant rate over the forecast period. The growth of this segment can be attributed to increasing demand for automation in manufacturing facilities, especially across emerging economies. The adoption of AI platforms by manufacturers offering services such as supply chain management, production scheduling, and asset tracking & monitoring is anticipated to drive the market growth over the forecast period.
The retail & e-commerce segment accounted for a considerable market share in 2017 owing to increasing penetration of advanced technologies such as big data analytics and cloud computing among retailers globally. Moreover, an increase in consumer spending on luxury goods has resulted in increased use of intelligent workload management solutions by online retailers globally. This trend is expected to continue driving demand across various industry verticals over the coming years.
Regional Analysis:
The North American regional market dominated the intelligent workload management industry in 2016 and accounted for over 35% of the total revenue share. The region is expected to maintain its lead throughout the forecast period owing to early adoption of technology coupled with a high level of digitalization across various sectors, such as government, healthcare, media & entertainment, and others. Moreover, an increasing number of smart cities projects are driving infrastructure development in North America that would require considerable processing power. This factor is anticipated to drive demand for intelligent workload management solutions over the next eight years.
The Asia Pacific regional market is projected to grow at a lucrative rate during the forecast period due to increasing investments from governments across various countries along with growing awareness regarding cloud computing among enterprises in this region.
Growth Factors:
- Increasing demand for data-driven decision making across industries
- Proliferation of big data and IoT technologies
- Growing need for reducing operational costs and improving efficiency
- Emergence of cloud-based workload management solutions
- Increased focus on business continuity and disaster recovery
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Workload Management Market Research Report
By Type
Software, Services
By Application
BFSI, IT & Telecom, Retail and e-commerce, Healthcare, Manufacturing, Government, Energy and utilities, Media and entertainment, Others
By Companies
Amazon Web Services, Inc, BMC Software, Inc, Broadcom Inc, Cloudera, Inc, Dell Inc, Google Inc, Hewlett Packard Enterprise, CloudSphere, IBM Corporation, Microsoft Corporation, Micro Focus, OpenStack, RiverMeadow Software, Inc
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
151
Number of Tables & Figures
106
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Workload Management Market Report Segments:
The global Intelligent Workload Management market is segmented on the basis of:
Types
Software, Services
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
BFSI, IT & Telecom, Retail and e-commerce, Healthcare, Manufacturing, Government, Energy and utilities, Media and entertainment, 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:
- Amazon Web Services, Inc
- BMC Software, Inc
- Broadcom Inc
- Cloudera, Inc
- Dell Inc
- Google Inc
- Hewlett Packard Enterprise
- CloudSphere
- IBM Corporation
- Microsoft Corporation
- Micro Focus
- OpenStack
- RiverMeadow Software, Inc
Highlights of The Intelligent Workload Management 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:
- Software
- Services
- By Application:
- BFSI
- IT & Telecom
- Retail and e-commerce
- Healthcare
- Manufacturing
- Government
- Energy and utilities
- Media and entertainment
- 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 Intelligent Workload Management 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?
Intelligent workload management (IWM) is a technology that helps organizations manage the workloads of employees by automating and optimizing work processes. IWM can help reduce the time it takes to complete tasks, improve employee productivity, and reduce stress levels.
Some of the major companies in the intelligent workload management market are Amazon Web Services, Inc, BMC Software, Inc, Broadcom Inc, Cloudera, Inc, Dell Inc, Google Inc, Hewlett Packard Enterprise, CloudSphere, IBM Corporation, Microsoft Corporation, Micro Focus, OpenStack, RiverMeadow Software, Inc.
The intelligent workload management market is expected to register a CAGR of 10.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Workload Management 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 Intelligent Workload Management Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Workload Management 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 Intelligent Workload Management 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 Intelligent Workload Management Market Size & Forecast, 2018-2028
4.5.1 Intelligent Workload Management Market Size and Y-o-Y Growth
4.5.2 Intelligent Workload Management Market Absolute $ Opportunity
Chapter 5 Global Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Type
5.2.1 Software
5.2.2 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 IT & Telecom
6.2.3 Retail and e-commerce
6.2.4 Healthcare
6.2.5 Manufacturing
6.2.6 Government
6.2.7 Energy and utilities
6.2.8 Media and entertainment
6.2.9 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Workload Management 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 Intelligent Workload Management 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 Intelligent Workload Management Analysis and Forecast
9.1 Introduction
9.2 North America Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Type
9.6.1 Software
9.6.2 Services
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 Intelligent Workload Management Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 IT & Telecom
9.10.3 Retail and e-commerce
9.10.4 Healthcare
9.10.5 Manufacturing
9.10.6 Government
9.10.7 Energy and utilities
9.10.8 Media and entertainment
9.10.9 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 Intelligent Workload Management Analysis and Forecast
10.1 Introduction
10.2 Europe Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Type
10.6.1 Software
10.6.2 Services
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 Intelligent Workload Management Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 IT & Telecom
10.10.3 Retail and e-commerce
10.10.4 Healthcare
10.10.5 Manufacturing
10.10.6 Government
10.10.7 Energy and utilities
10.10.8 Media and entertainment
10.10.9 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 Intelligent Workload Management Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Type
11.6.1 Software
11.6.2 Services
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 Intelligent Workload Management Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 IT & Telecom
11.10.3 Retail and e-commerce
11.10.4 Healthcare
11.10.5 Manufacturing
11.10.6 Government
11.10.7 Energy and utilities
11.10.8 Media and entertainment
11.10.9 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 Intelligent Workload Management Analysis and Forecast
12.1 Introduction
12.2 Latin America Intelligent Workload Management 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 Intelligent Workload Management Market Size Forecast by Type
12.6.1 Software
12.6.2 Services
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 Intelligent Workload Management Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 IT & Telecom
12.10.3 Retail and e-commerce
12.10.4 Healthcare
12.10.5 Manufacturing
12.10.6 Government
12.10.7 Energy and utilities
12.10.8 Media and entertainment
12.10.9 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) Intelligent Workload Management Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Intelligent Workload Management 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) Intelligent Workload Management Market Size Forecast by Type
13.6.1 Software
13.6.2 Services
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) Intelligent Workload Management Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 IT & Telecom
13.10.3 Retail and e-commerce
13.10.4 Healthcare
13.10.5 Manufacturing
13.10.6 Government
13.10.7 Energy and utilities
13.10.8 Media and entertainment
13.10.9 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 Intelligent Workload Management Market: Competitive Dashboard
14.2 Global Intelligent Workload Management Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Amazon Web Services, Inc
14.3.2 BMC Software, Inc
14.3.3 Broadcom Inc
14.3.4 Cloudera, Inc
14.3.5 Dell Inc
14.3.6 Google Inc
14.3.7 Hewlett Packard Enterprise
14.3.8 CloudSphere
14.3.9 IBM Corporation
14.3.10 Microsoft Corporation
14.3.11 Micro Focus
14.3.12 OpenStack
14.3.13 RiverMeadow Software, Inc
