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What are the latest figures on the workload scheduling and automation market’s size and projected CAGR?
The workload scheduling and automation market size has grown rapidly in recent years. It will grow from $3.28 billion in 2024 to $3.64 billion in 2025 at a compound annual growth rate (CAGR) of 11.1%. The growth in the historic period can be attributed to digital transformation initiatives, rising complexity of IT environments, focus on cost optimization, need for business continuity and disaster recovery, increasing volume of data and demand for real-time analytics.
The workload scheduling and automation market size is expected to see rapid growth in the next few years. It will grow to $5.47 billion in 2029 at a compound annual growth rate (CAGR) of 10.7%. The growth in the forecast period can be attributed to focus on security and compliance, remote workforce management, increasing complexity of business processes, growing importance of DevOps practices, focus on customer experience and need for scalability. Major trends in the forecast period include rapid technological advancements, increasing adoption of cloud computing, integration of ai and machine learning, cloud-native workload automation, hyperautomation and event-driven automation.
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Which Market drivers have played a significant role in driving the workload scheduling and automation market?
The growing demand for cloud computing is expected to propel the growth of the workload scheduling and automation market going forward. Cloud computing is the delivery of computing services over the Internet, offering resources such as storage, processing power, and software on a pay-as-you-go basis, enabling scalability, flexibility, and cost-efficiency for users. In workload scheduling and automation, cloud computing allows for the deployment of scalable infrastructure and software resources over the Internet, facilitating efficient management of tasks, data processing, and system maintenance. For instance, in December 2023, according to Eurostat, a Luxembourg-based government agency, 42.5% of businesses in the EU (European Union) purchased cloud computing services. This was primarily for office software, file storage, and email. Compared to 2021, there was a 4.2 percentage point increase in the share of EU firms purchasing cloud computing services. Therefore, the growing demand for cloud computing is driving the growth of the workload scheduling and automation market.
What are the key segments within the workload scheduling and automation market?
The workload scheduling and automation market covered in this report is segmented –
1) By Deployment: On-premise, Cloud
2) By Enterprise: Large Enterprise, Small And Medium Enterprise
3) By End-Use: Banking, Financial Services And Insurance (BFSI), Information Technology (IT) And Telecommunication, Retail, Healthcare, Government And Public Sector, Manufacturing, Other End-Users
Subsegments:
1) By On-premise: On-Premise Deployment Solutions, On-Premise Automation Tools
2) By Cloud: Cloud-Based Workload Scheduling Solutions, Cloud-Based Automation Tools
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Which key players are shaping the workload scheduling and automation market?
Major companies operating in the workload scheduling and automation market are Foxconn Technology Group, Dell Technologies Inc., Bosch Group, Siemens AG, Hitachi Ltd., Lenovo Group Limited, General Electric Company, Intel Corporation, International Business Machines Corporation, Caterpillar Inc., Deere & Company, Mitsubishi Electric Corporation, Schneider Electric SE, Honeywell International Inc., 3M Company, ABB Ltd., Hewlett-Packard Enterprise Company, Danaher Corporation, Johnson Controls International plc, Emerson Electric Co., Rockwell Automation Inc., Fanuc Corporation
Which transformative trends will shape the workload scheduling and automation market landscape?
Major companies operating in the workload scheduling and automation market are focused on developing innovative solutions, such as self-healing workflow automation platforms, to gain a competitive edge in the market. A self-healing workflow automation platform is a software solution designed to automatically detect, diagnose, and resolve issues or failures within workflows or processes without the need for human intervention. For instance, in September 2024, Qualitia, an India-based technology company, launched Qualitia Boson on the Salesforce AppExchange, an AI-native self-healing test automation platform specifically designed for Salesforce deployments. This innovative technology dramatically shortens the Salesforce testing cycle from weeks to mere hours, allowing Banking, Financial Services, and Insurance (BFSI) clients to implement quality solutions 30% faster, 72% cheaper, and with 100% reliability. Qualitia Boson’s self-healing capabilities automatically adjust to changes in the software environment, facilitating continuous and efficient testing without requiring manual intervention.
How do regional factors impact the workload scheduling and automation market, and which region is the largest contributor?
North America was the largest region in the workload scheduling and automation market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the workload scheduling and automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Workload Scheduling And Automation Market Report 2025 Offer?
The workload scheduling and automation market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Workload scheduling and automation refers to the process of efficiently distributing and managing tasks, processes, or jobs among computing resources such as servers, networks, and cloud environments via automated tools and systems. It aims to simplify and optimize the execution of diverse tasks, increase resource utilization, improve system reliability, and eliminate manual involvement in routine processes.
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