2026 Global: Cloud-Based Workload Scheduling Software Market-Competitive Review (2032) report
Description
The 2026 Global: Cloud-Based Workload Scheduling Software Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for cloud-based workload scheduling software market by geography and historical trend. The scope of the report extends to sizing of the cloud-based workload scheduling software market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Cloud-Based Workload Scheduling Software Market is dominated by ten major companies offering scalable, hybrid, and SaaS-native solutions for automating complex IT workflows, batch jobs, and multi-cloud orchestration in 2025. Leading players include IBM, Broadcom, VMware, Adaptive Computing, and Kohlberg Kravis Roberts (KKR), which provide enterprise-grade platforms for high-volume workloads, DevOps integration, and real-time scheduling. Redwood RunMyJobs stands out as a fully hosted SaaS solution optimized for hybrid and multi-cloud environments, featuring dependency-based execution and seamless API connectivity without on-premises hardware needs. BMC Control-M, under Broadcom, excels in mainframe and data-intensive automation, supporting SaaS delivery alongside on-premises for flexible hybrid IT, while Tidal Workload Automation delivers comprehensive cross-platform orchestration ideal for dependency-driven enterprise jobs across cloud and multi-cloud setups. These firms leverage AI-driven forecasting and low-code tools to minimize downtime and enhance scalability for global operations.
Stonebranch Workload Automation and ActiveBatch Workload Automation further solidify market leadership with event-based, real-time scheduling for on-premises, hybrid, and cloud deployments, including Super REST API adapters for vendor-agnostic integration. IBM Workload Automation caters to container-ready, high-volume batch processing in public or private clouds, emphasizing flexible scaling for complex hybrid jobs, while VMware integrates virtualization with workload orchestration for secure, multi-cloud efficiency. Adaptive Computing focuses on dynamic resource provisioning in cloud data centers, appealing to organizations prioritizing optimization and elasticity. Backed by investors like KKR, these companies drive innovation in self-service portals and CI/CD pipeline support, addressing demands from mid-sized businesses to Fortune 500 enterprises amid rising cloud adoption rates. Their platforms reduce manual scripting, enabling IT teams to handle diverse tech stacks with minimal overhead.
Emerging trends amplify the dominance of these ten companies, as Broadcom's CA Automic (formerly) evolves into enterprise-wide service orchestration for mainframes and distributed systems, complemented by Activeeon's open-source flexibility for scalable cloud resources. Market growth is fueled by AI enhancements in workload balancing, scenario planning, and skill-based assignments, with leaders like IBM and Redwood reporting strong uptake in marketing automation and data pipelines. Tidal and Stonebranch prioritize low-code event orchestration for SaaS or hybrid models, ensuring compliance in regulated sectors. Collectively, these firms control significant share through robust integrations, SLA enforcement, and consumption-based pricing, positioning them to capture expanding demand for cloud-native scheduling amid digital transformation.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for cloud-based workload scheduling software market by geography and historical trend. The scope of the report extends to sizing of the cloud-based workload scheduling software market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Cloud-Based Workload Scheduling Software Market is dominated by ten major companies offering scalable, hybrid, and SaaS-native solutions for automating complex IT workflows, batch jobs, and multi-cloud orchestration in 2025. Leading players include IBM, Broadcom, VMware, Adaptive Computing, and Kohlberg Kravis Roberts (KKR), which provide enterprise-grade platforms for high-volume workloads, DevOps integration, and real-time scheduling. Redwood RunMyJobs stands out as a fully hosted SaaS solution optimized for hybrid and multi-cloud environments, featuring dependency-based execution and seamless API connectivity without on-premises hardware needs. BMC Control-M, under Broadcom, excels in mainframe and data-intensive automation, supporting SaaS delivery alongside on-premises for flexible hybrid IT, while Tidal Workload Automation delivers comprehensive cross-platform orchestration ideal for dependency-driven enterprise jobs across cloud and multi-cloud setups. These firms leverage AI-driven forecasting and low-code tools to minimize downtime and enhance scalability for global operations.
Stonebranch Workload Automation and ActiveBatch Workload Automation further solidify market leadership with event-based, real-time scheduling for on-premises, hybrid, and cloud deployments, including Super REST API adapters for vendor-agnostic integration. IBM Workload Automation caters to container-ready, high-volume batch processing in public or private clouds, emphasizing flexible scaling for complex hybrid jobs, while VMware integrates virtualization with workload orchestration for secure, multi-cloud efficiency. Adaptive Computing focuses on dynamic resource provisioning in cloud data centers, appealing to organizations prioritizing optimization and elasticity. Backed by investors like KKR, these companies drive innovation in self-service portals and CI/CD pipeline support, addressing demands from mid-sized businesses to Fortune 500 enterprises amid rising cloud adoption rates. Their platforms reduce manual scripting, enabling IT teams to handle diverse tech stacks with minimal overhead.
Emerging trends amplify the dominance of these ten companies, as Broadcom's CA Automic (formerly) evolves into enterprise-wide service orchestration for mainframes and distributed systems, complemented by Activeeon's open-source flexibility for scalable cloud resources. Market growth is fueled by AI enhancements in workload balancing, scenario planning, and skill-based assignments, with leaders like IBM and Redwood reporting strong uptake in marketing automation and data pipelines. Tidal and Stonebranch prioritize low-code event orchestration for SaaS or hybrid models, ensuring compliance in regulated sectors. Collectively, these firms control significant share through robust integrations, SLA enforcement, and consumption-based pricing, positioning them to capture expanding demand for cloud-native scheduling amid digital transformation.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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