U.S. Workload Scheduling And Automation Market Size, Share & Trends Analysis Report By Deployment (Cloud, On-premise), By Enterprise Size, By End-use (BFSI, IT & Telecommunication, Retail, Healthcare), And Segment Forecasts, 2023 - 2030
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U.S. Workload Scheduling And Automation Market Growth & Trends
The U.S. workload scheduling and automation market size is estimated to reach USD 1.30 billion by 2030, registering a compound annual growth rate (CAGR) of nearly 7.0% from 2023 to 2030, according to a new report by Grand View Research, Inc. The growth of the market is attributed to the continued digitalization and penetration of cloud computing coupled with increasing demand for scalability. The growing inclination of businesses to automate their processes has augmented the demand for workload scheduling and automation tools. These solutions help companies to automate various backend workflows by triggering, scheduling, and executing them in a way that improves overall efficiency along with reduction in costs, which is expected to drive the U.S. workload scheduling market growth over the forecast period.
The growing trend of the U.S. workload scheduling and automation to potentially help enterprises reduce manual errors, improve the execution of batch tasks, and optimize storage and job scheduling is driving market growth. For instance, in May 2023, Fortra, LLC, an information technology management company, launched a link between JAMS and Automate, the company’s workload automation and robotic automation solutions, to increase their efficiency in automation solutions and reduce errors across multiple industries. These technological advancements by market players in the U.S. are expected to augment the demand for the U.S. workload scheduling & automation market over the forecast period.
Furthermore, the implementation of advanced technologies, such as Artificial Intelligence (AI) and Machine Learning (ML), allows vendors to enhance their Workload Automation (WLA) tools to ensure improved operational and managerial processes, integration capabilities, and the overall customer experience in the country, which is driving the U.S. workload scheduling and automation market over the forecast period. Prominent companies, such as Oracle, Cisco Systems, Inc., and IBM Corporation, play a crucial role in guiding clients through their digital transformation journey amid the growing preference for cloud computing and pervasive network access along with the increasing number of tech-savvy users and trading partners.
U.S. Workload Scheduling And Automation Market Report Highlights
U.S. Workload Scheduling And Automation Market Growth & Trends
The U.S. workload scheduling and automation market size is estimated to reach USD 1.30 billion by 2030, registering a compound annual growth rate (CAGR) of nearly 7.0% from 2023 to 2030, according to a new report by Grand View Research, Inc. The growth of the market is attributed to the continued digitalization and penetration of cloud computing coupled with increasing demand for scalability. The growing inclination of businesses to automate their processes has augmented the demand for workload scheduling and automation tools. These solutions help companies to automate various backend workflows by triggering, scheduling, and executing them in a way that improves overall efficiency along with reduction in costs, which is expected to drive the U.S. workload scheduling market growth over the forecast period.
The growing trend of the U.S. workload scheduling and automation to potentially help enterprises reduce manual errors, improve the execution of batch tasks, and optimize storage and job scheduling is driving market growth. For instance, in May 2023, Fortra, LLC, an information technology management company, launched a link between JAMS and Automate, the company’s workload automation and robotic automation solutions, to increase their efficiency in automation solutions and reduce errors across multiple industries. These technological advancements by market players in the U.S. are expected to augment the demand for the U.S. workload scheduling & automation market over the forecast period.
Furthermore, the implementation of advanced technologies, such as Artificial Intelligence (AI) and Machine Learning (ML), allows vendors to enhance their Workload Automation (WLA) tools to ensure improved operational and managerial processes, integration capabilities, and the overall customer experience in the country, which is driving the U.S. workload scheduling and automation market over the forecast period. Prominent companies, such as Oracle, Cisco Systems, Inc., and IBM Corporation, play a crucial role in guiding clients through their digital transformation journey amid the growing preference for cloud computing and pervasive network access along with the increasing number of tech-savvy users and trading partners.
U.S. Workload Scheduling And Automation Market Report Highlights
- Based on the deployment segment, the cloud segment is expected to register the highest CAGR of 9.8% over the forecast period owing to various benefits, such as improved scalability and reliability, better security, and improved customer service, associated with cloud deployment
- Based on the enterprise size segment, the small and medium enterprise segment is expected to register the highest CAGR of 7.5% in 2022. This can be attributed to the expansion of the IT sector, increasing number of startups, and growing preference for WLA solutions among these enterprises
- Based on the end-use segment, the IT and telecommunication segment captured the largest revenue share of over 23.9% in 2022 with the continued development of new business models, network platforms, and capabilities to harness the Internet of Things
CHAPTER 1. METHODOLOGY AND SCOPE
1.1. Market Segmentation & Scope
1.2. Market Definition
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. GVR’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Snapshot
2.2. Segment Snapshot
2.3. Competitive Landscape
CHAPTER 3. INDUSTRY OUTLOOK
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market driver analysis
3.3.2. Market restraint analysis
3.3.3. Market challenges
3.3.4. Market opportunities
3.4. Industry Analysis Tools
3.4.1. PORTER’S analysis
3.4.2. MACROECONOMIC analysis
3.5. U.S. Workload Scheduling & Automation Market - Technology Trends
3.6. U.S. Workload Scheduling & Automation Market - Use Cases
3.7. U.S. Workload Scheduling & Automation Market - COVID-19 Impact Analysis
CHAPTER 4. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: DEPLOYMENT ESTIMATES & TREND ANALYSIS
4.1. Deployment Movement Analysis & Market Share, 2022 & 2030
4.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By Deployment (USD Million)
4.2.1. On-premise
4.2.2. Cloud
CHAPTER 5. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: ENTERPRISE SIZE ESTIMATES & TREND ANALYSIS
5.1. Enterprise Size Movement Analysis & Market Share, 2022 & 2030
5.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By Enterprise Size (USD Million)
5.2.1. Large Enterprise
5.2.2. Small & Medium Enterprise
CHAPTER 6. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: END-USE ESTIMATES & TREND ANALYSIS
6.1. End-use Movement Analysis & Market Share, 2022 & 2030
6.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By End-use (USD Million)
6.2.1. BFSI
6.2.2. IT & Telecommunication
6.2.3. Retail
6.2.4. Healthcare
6.2.5. Government & Public Sector
6.2.6. Manufacturing
6.2.7. Others
CHAPTER 7. COMPETITIVE LANDSCAPE
7.1 Key Participants
7.1.1. ASG Technologies Group, Inc.
7.1.2. BMC Software, Inc.
7.1.3. CA Technologies (Broadcom Inc.)
7.1.4. Cisco Systems, Inc.
7.1.5. HCL Technologies Limited
7.1.6. Hitachi Vantara Corporation
7.1.7. IBM Corporation
7.1.8. Oracle Corporation
7.1.9. Redwood Software, Inc.
7.1.10. ServiceNow
7.1.11. SMA Technologies
7.1.12. Stonebranch Inc.
7.1.13. VMWare Inc.
7.2 Recent Development & Impact, By Key Market Participants
7.3 Company Categorization
7.4 Participant’s Overview
7.5 Financial Performance
7.6 Product Benchmarking
7.7 Company Heat Map Analysis
7.8 Company Market Share Analysis, 2022
7.9 Strategy Mapping
7.9.1 Expansion
7.9.2 Mergers & acquisition
7.9.3 Collaborations
7.9.4 New product launches
7.9.5 Research & Development
1.1. Market Segmentation & Scope
1.2. Market Definition
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. GVR’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Snapshot
2.2. Segment Snapshot
2.3. Competitive Landscape
CHAPTER 3. INDUSTRY OUTLOOK
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market driver analysis
3.3.2. Market restraint analysis
3.3.3. Market challenges
3.3.4. Market opportunities
3.4. Industry Analysis Tools
3.4.1. PORTER’S analysis
3.4.2. MACROECONOMIC analysis
3.5. U.S. Workload Scheduling & Automation Market - Technology Trends
3.6. U.S. Workload Scheduling & Automation Market - Use Cases
3.7. U.S. Workload Scheduling & Automation Market - COVID-19 Impact Analysis
CHAPTER 4. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: DEPLOYMENT ESTIMATES & TREND ANALYSIS
4.1. Deployment Movement Analysis & Market Share, 2022 & 2030
4.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By Deployment (USD Million)
4.2.1. On-premise
4.2.2. Cloud
CHAPTER 5. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: ENTERPRISE SIZE ESTIMATES & TREND ANALYSIS
5.1. Enterprise Size Movement Analysis & Market Share, 2022 & 2030
5.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By Enterprise Size (USD Million)
5.2.1. Large Enterprise
5.2.2. Small & Medium Enterprise
CHAPTER 6. U.S. WORKLOAD SCHEDULING & AUTOMATION MARKET: END-USE ESTIMATES & TREND ANALYSIS
6.1. End-use Movement Analysis & Market Share, 2022 & 2030
6.2. U.S. Workload Scheduling & Automation Market Estimates & Forecast, By End-use (USD Million)
6.2.1. BFSI
6.2.2. IT & Telecommunication
6.2.3. Retail
6.2.4. Healthcare
6.2.5. Government & Public Sector
6.2.6. Manufacturing
6.2.7. Others
CHAPTER 7. COMPETITIVE LANDSCAPE
7.1 Key Participants
7.1.1. ASG Technologies Group, Inc.
7.1.2. BMC Software, Inc.
7.1.3. CA Technologies (Broadcom Inc.)
7.1.4. Cisco Systems, Inc.
7.1.5. HCL Technologies Limited
7.1.6. Hitachi Vantara Corporation
7.1.7. IBM Corporation
7.1.8. Oracle Corporation
7.1.9. Redwood Software, Inc.
7.1.10. ServiceNow
7.1.11. SMA Technologies
7.1.12. Stonebranch Inc.
7.1.13. VMWare Inc.
7.2 Recent Development & Impact, By Key Market Participants
7.3 Company Categorization
7.4 Participant’s Overview
7.5 Financial Performance
7.6 Product Benchmarking
7.7 Company Heat Map Analysis
7.8 Company Market Share Analysis, 2022
7.9 Strategy Mapping
7.9.1 Expansion
7.9.2 Mergers & acquisition
7.9.3 Collaborations
7.9.4 New product launches
7.9.5 Research & Development
LIST OF TABLES
Table 1 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By Deployment, 2018 - 2030 (USD Million)
Table 2 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By Enterprise Size, 2018 - 2030 (USD Million)
Table 3 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By End Use, 2018 - 2030 (USD Million)
Table 4 Recent Developments & Impact Analysis, By Key Market Participants
Table 5 Key company categorization
Table 6 Company Heat Map Analysis
Table 7 Key companies undergoing expansions
Table 8 Key companies involved in mergers and acquisitions
Table 9 Key companies undergoing collaborations
Table 10 Key companies launching new products
Table 11 Key Companies undertaking R&D activities
Table 1 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By Deployment, 2018 - 2030 (USD Million)
Table 2 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By Enterprise Size, 2018 - 2030 (USD Million)
Table 3 U.S. Workload Scheduling & Automation Market Revenue Estimates and Forecast, By End Use, 2018 - 2030 (USD Million)
Table 4 Recent Developments & Impact Analysis, By Key Market Participants
Table 5 Key company categorization
Table 6 Company Heat Map Analysis
Table 7 Key companies undergoing expansions
Table 8 Key companies involved in mergers and acquisitions
Table 9 Key companies undergoing collaborations
Table 10 Key companies launching new products
Table 11 Key Companies undertaking R&D activities
LIST OF FIGURES
Fig. 1 U.S. Workload Scheduling & Automation Market Segmentation
Fig. 2 Information Procurement
Fig. 3 Data Analysis Models
Fig. 4 Market Formulation and Validation
Fig. 5 Data Validating & Publishing
Fig. 6 Market Snapshot
Fig. 7 Segment Snapshot
Fig. 8 Competitive Landscape Snapshot
Fig. 9 U.S. Workload Scheduling & Automation Market Value, 2022 (USD Million)
Fig. 10 U.S. Workload Scheduling & Automation- Industry Value Chain Analysis
Fig. 11 U.S. Workload Scheduling & Automation Market Dynamics
Fig. 12 Key Market Driver Impact
Fig. 13 Key Market Restraint Impact
Fig. 14 U.S. Workload Scheduling & Automation Market: PORTER’s Five Forces Analysis
Fig. 15 U.S. Workload Scheduling & Automation Market: Macroeconomic Analysis
Fig. 16 U.S. Workload Scheduling & Automation Market, by Deployment, Key Takeaways
Fig. 17 Deployment movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 18 U.S. Workload Scheduling & Automation Market, by Enterprise Size, Key Takeaways
Fig. 19 Enterprise Size movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 20 U.S. Workload Scheduling & Automation Market, by End-use, Key Takeaways
Fig. 21 End-use movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 22 Key Company Categorization
Fig. 23 Company Market Share Analysis, 2022
Fig. 24 Strategic framework
Fig. 1 U.S. Workload Scheduling & Automation Market Segmentation
Fig. 2 Information Procurement
Fig. 3 Data Analysis Models
Fig. 4 Market Formulation and Validation
Fig. 5 Data Validating & Publishing
Fig. 6 Market Snapshot
Fig. 7 Segment Snapshot
Fig. 8 Competitive Landscape Snapshot
Fig. 9 U.S. Workload Scheduling & Automation Market Value, 2022 (USD Million)
Fig. 10 U.S. Workload Scheduling & Automation- Industry Value Chain Analysis
Fig. 11 U.S. Workload Scheduling & Automation Market Dynamics
Fig. 12 Key Market Driver Impact
Fig. 13 Key Market Restraint Impact
Fig. 14 U.S. Workload Scheduling & Automation Market: PORTER’s Five Forces Analysis
Fig. 15 U.S. Workload Scheduling & Automation Market: Macroeconomic Analysis
Fig. 16 U.S. Workload Scheduling & Automation Market, by Deployment, Key Takeaways
Fig. 17 Deployment movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 18 U.S. Workload Scheduling & Automation Market, by Enterprise Size, Key Takeaways
Fig. 19 Enterprise Size movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 20 U.S. Workload Scheduling & Automation Market, by End-use, Key Takeaways
Fig. 21 End-use movement analysis & market share, 2022 & 2030 (USD Million)
Fig. 22 Key Company Categorization
Fig. 23 Company Market Share Analysis, 2022
Fig. 24 Strategic framework
