Cloud Based Workload Scheduling Software Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The cloud based workload scheduling software market size has grown rapidly in recent years. It will grow from $1.83 billion in 2024 to $2.07 billion in 2025 at a compound annual growth rate (CAGR) of 13.2%. The growth in the historic period can be attributed to the rise of cloud computing, scalability demands, and complexity of workload management.

The cloud based workload scheduling software market size is expected to see rapid growth in the next few years. It will grow to $3.37 billion in 2029 at a compound annual growth rate (CAGR) of 12.9%. The growth in the forecast period can be attributed to edge computing integration, AI and machine learning integration, hybrid and multi-cloud adoption, data sovereignty and compliance, and industry-specific Solutions. Major trends in the forecast period include containerization and Kubernetes orchestration, integration with infrastructure as code, and autonomous workload management systems.

The upward trajectory of cloud computing adoption is set to drive the expansion of cloud-based workload scheduling software in the foreseeable future. Cloud computing, characterized by the delivery of computing services via the Internet, encompasses servers, storage, databases, networking, and software, among other resources. This surge in cloud computing adoption is fueled by its cost-effectiveness, scalability, accessibility, security, and environmental advantages. Cloud-based workload scheduling software plays a pivotal role in efficiently allocating and managing computing resources, optimizing workload distribution and execution across the cloud infrastructure. For instance, in December 2023, as per the European Union (EU), the adoption of cloud-based solutions within the EU witnessed a notable 4.2% increase, with 45.2% of enterprises procuring cloud computing services, signifying a substantial upswing compared to 2021. Consequently, the rising adoption of cloud computing is propelling the growth of the cloud-based workload scheduling software market.

Key players in the cloud-based workload scheduling software market are channeling their efforts towards introducing innovative solutions, such as resource management and job scheduling platforms, aimed at optimizing cloud computing operations. These platforms facilitate the efficient allocation of resources and execution of tasks within cloud computing environments. For instance, in December 2023, Google Cloud, a US-based technology company, unveiled the Dynamic Workload Scheduler, a cloud-based workload scheduling software tailored for the AI hypercomputer. It enhances the utilization and cost-effectiveness of AI or ML resources, including TPUs and NVIDIA GPUs, by effectively scheduling workloads such as training and fine-tuning tasks. The Flex Start Mode enables users to request GPU and TPU capacity for tasks such as model fine-tuning and shorter training jobs on demand, automatically provisioning VMs and prioritizing shorter requests to optimize resource utilization and costs. Leveraging Google Borg technology renowned for real-time scheduling capabilities within the Google ML Fleet, the scheduler offers enhanced flexibility and efficiency for customers.

In January 2023, Redwood Software, a Netherlands-based company, completed the acquisition of Tidal Software for an undisclosed sum. This strategic move strengthens Redwood's position in enterprise automation, augmenting its automation suite with Redwood's expanded offerings, including RunMyJobs and ActiveBatch, empowering businesses to enhance efficiency and cut costs. Tidal Software, a US-based firm, specializes in cloud-based workload scheduling software supporting centralized management and control of job scheduling across diverse business, operations, and IT processes.

Major companies operating in the cloud based workload scheduling software market are Microsoft Corporation, Dell Technologies, Amazon Web Services, International Business Machines Corporation, Cisco Systems Inc., Broadcom Inc., VMware Inc., Chef Software Inc., Splunk Inc., BMC Software Inc., Datadog Inc., Zoho Corporation Pvt. Ltd., Citrix Systems Inc., New Relic Inc., HelpSystems LLC, HashiCorp Terraform, PagerDuty Inc., Turbonomic Inc., Puppet Inc., OpsRamp Inc., Stonebranch Inc., SaltStack Inc., Adaptive Computing Inc., Redwood Software.

North America was the largest region in the cloud based workload scheduling software market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud based workload scheduling software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the cloud based workload scheduling software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The cloud based workload scheduling software market includes revenues earned by entities providing services such as automated task scheduling, workflow orchestration, and monitoring and reporting services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Cloud-based workload scheduling software is a software solution crafted to automate the scheduling, orchestration, and management of computing activities, jobs, or workloads in cloud computing environments. Its purpose is to assist enterprises in optimizing workload management, enhancing operational efficiency, maximizing resource utilization, and promoting business agility.

This software comes in various types, including private cloud, public cloud, and hybrid solutions. A private cloud is engineered to efficiently manage and allocate computing resources for diverse tasks within a private cloud infrastructure. It encompasses different pricing models such as subscription-based and pay-as-you-go. It finds utility across a spectrum of organizations including small and medium enterprises as well as large enterprises, catering to various applications spanning corporate organizations, government institutions, and beyond.

The cloud based workload scheduling software research report is one of a series of new reports that provides cloud based workload scheduling software market statistics, including the cloud based workload scheduling software industry's global market size, regional shares, competitors with a cloud based workload scheduling software market share, detailed cloud based workload scheduling software market segments, market trends and opportunities, and any further data you may need to thrive in the cloud based workload scheduling software industry. This cloud based workload scheduling software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.