Are you looking to add Workload Automation to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Workload Automation statistics of 2024.
My team and I scanned the entire web and collected all the most useful Workload Automation stats on this page. You don’t need to check any other resource on the web for any Workload Automation statistics. All are here only 🙂
How much of an impact will Workload Automation have on your day-to-day? or the day-to-day of your business? Should you invest in Workload Automation? We will answer all your Workload Automation related questions here.
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On this page, you’ll learn about the following:
Best Workload Automation Statistics
☰ Use “CTRL+F” to quickly find statistics. There are total 100 Workload Automation Statistics on this page 🙂Workload Automation Benefits Statistics
- 74%of consumers expect a chatbot to be available to provide website assistance While there are many benefits to automating workflows and processes, some organizations are facing challenges when it comes to implementation. [0]
Workload Automation Market Statistics
- The global workload scheduling and automation market size was valued at USD 2.22 billion in 2019 and is expected to grow at a compound annual growth rate of 6.5% from 2020 to 2027. [1]
- The large enterprise segment accounted for the largest market share of over 53% in 2019. [1]
- Enduse Insights The retail segment held the largest market share of around 25% in 2019 owing to the increasing adoption of WLA solutions by retailers for in house operations, such as logistics and inventory management. [1]
- The global workload scheduling & automation market size was estimated at USD 2.22 billion in 2019 and is expected to reach USD 2.34 billion in 2020. [1]
- The global workload scheduling & automation market is expected to witness a compound annual growth rate of 6.5% from 2020 to 2027 to reach USD 3.64 billion by 2027. [1]
- Large enterprise segment accounted for the largest market share of over 55% in 2019. [1]
- 75%of companies use marketing automation software. [0]
- 83%of marketing departments automate social media posting, 75% automate email marketing, 58% automate social media advertising, and 36% automate social media engagement. [0]
- 14%of companies are using AI for sales and marketing segmentation. [0]
- IT leaders say that their marketing departments are seeing the highest ROI from automation at this current time, while 13% say it’s their sales departments. [0]
- 39%of organizations say that their marketing automation system produces higher quality leads. [0]
- 55%of businesses say that their marketing automation tool helps them to generate more leads. [0]
- 58%of companies that deploy chatbots, use them for sales or marketing. [0]
- 61%of marketers fear that automation tools lack personal connection, while 39% are worried about reduced control over the process. [0]
Workload Automation Software Statistics
- 31%of business leaders agree that automation software leads to reduced labor costs. [0]
- 36%of organizations are already implementing business process management software to automate workflows. [0]
- 29%of companies are planning to implement business process management software in the near future. [0]
- 24%of organizations are already implementing low code workflow automation software, like frevvo. [0]
- 29%of organizations are planning to implement low code workflow automation software in the near future. [0]
- 54%of business leaders believe that automation software will reduce the need for HR staff and hiring managers. [0]
- 75%of companies use marketing automation software. [0]
- The top industry researching this solution are professionals from a computer software company, accounting for 27% of all views. [2]
Workload Automation Adoption Statistics
- Gartner expects over 75% of large enterprises in mature economies will use container management by 2024 due to a growing adoption of cloud native applications and infrastructure. [3]
- Enduse Insights The retail segment held the largest market share of around 25% in 2019 owing to the increasing adoption of WLA solutions by retailers for in house operations, such as logistics and inventory management. [1]
- Regional Insights North America accounted for a major share of over 40% in 2019 owing to the early adoption of workload scheduling and automation solutions by enterprises in the region. [1]
Workload Automation Latest Statistics
- By 2025, 40% of physical experience based businesses will improve financial results and outperform competitors by extending into paid virtual experiences. [3]
- By 2024, organizations with IT teams that understand the needs of customers will outperform other organizations’ customer experience metrics by 20%. [3]
- By 2024, 40% of all enterprise workloads will be deployed in cloud infrastructure and platform services, up from 20% in 2020. [3]
- Through 2024, enhancements in analytics and automatic remediation capabilities will refocus 30% of IT operations efforts, from support to continuous engineering. [3]
- By 2024, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%. [3]
- By 2025, 50% of enterprises will have devised artificial intelligence orchestration platforms to operationalize , up from fewer than 10% in 2020. [3]
- By 2024, 30% of digital businesses will mandate DNA storage trials, addressing the exponential growth of data poised to overwhelm existing storage technology. [3]
- By 2024, 75% of organizations will have deployed multiple data hubs to drive mission critical data and analytics sharing and governance. [3]
- By 2025, customers will be the first humans to touch more than 20% of all products and produce. [3]
- By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. [3]
- By 2024, 80% of hyperautomation offerings will have limited industry specific depth mandating additional investment for IP, curated data, architecture, integration and development. [3]
- By 2024, more than 70% of the large global enterprises will have over 70 concurrent hyperautomation initiatives mandating governance or facing significant instability. [3]
- By 2025, more than 20% of all products will be manufactured, packed, shipped, and delivered without being touched —. [3]
- Technological progress is helping to drive hyperautomation as well Gartner expects that by 2024, organizations will be able to run a full 25% more tasks autonomously. [3]
- By 2024, 25% of traditional large enterprise CIOs will be held accountable for digital business operational results, effectively becoming “COO by proxy.”. [3]
- By 2024, 70% of customer experience projects will make use of information technology. [3]
- By 2025, more than 50% of organizations will use a distributed cloud option at the location of their choice, enabling transformational business models. [3]
- By year end 2024, 20% of installed edge computing platforms will be delivered and managed by hyperscale cloud providers, compared to less than 1% in 2020. [3]
- By 2024, 75% of organizations monitoring IaaS/PaaS environments will consume metrics via cloud providers’ APIs. [3]
- Through 2024, enhancements in digital workplace infrastructure processes driven by analytics and automatic remediation capabilities will refocus 30% of IT operations management, from support to continuous engineering. [3]
- By 2024, endpoint analytics and automation will help digital workplace service staff shift 30% of time spent on endpoint support and repair to continuous engineering. [3]
- 76% of survey respondents say that demand for new digital products and services increased in 2020. [3]
- Even more respondents (83%). [3]
- This is evident from the industry research survey conducted in 2018, which revealed that around 64% of the respondents identified IT workload operations as the most automated function in the industry. [1]
- The cloud segment accounted for a major revenue share of around 55% in 2019. [1]
- The Future of Cloud Report 2018 has revealed that almost 27% of the industry experts foresee around 95% of the workloads being run on the cloud over the next five years. [1]
- According to the Logic Monitor Survey, 83% of the enterprise workloads would be handled on the cloud by 2020. [1]
- Various industry estimates suggest that automation solutions would be performing around 25% of the work across the banking functions, thereby freeing employees to focus on higher value tasks and projects. [1]
- 43%of businesses say that they plan to reduce their workforce due to technology integration. [0]
- Conversely, however, 34% plan to expand their workforce due to technology integration. [0]
- Over80%of business leaders report that they are speeding up work process automation and expanding their use of remote work. [0]
- 50%of business leaders say that they’re planning to accelerate the automation of repetitive tasks within their organization. [0]
- Gartner predicts that69%of all managerial work will be automated by 2024. [0]
- 31%of organizations are worried about labor displacement and job loss that could come from job automation and artificial intelligence. [0]
- 7 to 24%of currently employed women and 8 to 28% of men may need to transition into different skill sets due to shifts in labor demands caused by automation. [0]
- 73%of IT leaders say that thanks to automation success, employees are saving between 10 and 50% of the time they previously spent doing manual tasks. [0]
- IT leaders say that automation technology saves departments between 10 and 50% on costs previously associated with manual processing. [0]
- 51%of automation initiatives are aimed at boosting efficiency. [0]
- 42%of business leaders agree that workflow automation speeds up the completion of repetitive tasks. [0]
- 78%of business leaders believe that automating tasks in the organization increases productivity for everyone involved. [0]
- 85%of business leaders believe that automating some of the workload will give them and their employees more time to focus on the goals that truly matter to the company. [0]
- 50%of companies are already using AI for at least one business function. [0]
- 25%of organizations are currently using AI in their process automation efforts, while 53% plan to implement this soon. [0]
- Strategy is important43%of AI high performers have a clearly defined AI vision and strategy. [0]
- 24%of organizations are using AI to enhance product development. [0]
- 15%of companies are using AI to optimize yield, efficiency, and throughput in manufacturing. [0]
- 62%of organizations are using AI to support IT operations, while 54% use it to improve business process efficiency, 48% are supporting manufacturing operations, and 49% are using AI for research and product development. [0]
- 45%of companies use AI to reduce business costs. [0]
- 38%of companies are implementing machine learning to reduce costs, while 34% want to improve the customer experience, 26% are looking to reduce churn, and 17% want to increase conversion rates. [0]
- 66%of companies have increased their revenue by deploying AI technology. [0]
- Budgets from $500k to $5 million have increased by55%yearon. [0]
- 48%of organizations are working on installing business process automation solutions that specifically automate management of manual tasks. [0]
- 67%of organizations are implementing business process automation solutions that increase endto end visibility across different systems. [0]
- 95%of businesses need to manage unstructured data –– 40% need to do so regularly. [0]
- 59%of big data professionals say their organizations are increasing investment in big data. [0]
- 30%of organizations are investing in big data to modernize their IT systems, while 23% are looking to make cost savings, and 20% are trying to accelerate business growth. [0]
- 45%of companies using big data operate at least part of the data on the cloud. [0]
- In fact, it’s estimated that 67% of enterprise infrastructure will be cloud based by the end of 2020. [0]
- 45%of human resources departments are focusing on intelligent or process automation over the next year. [0]
- 70%of business leaders believe that an automation tool could help them build more effective teams. [0]
- 61%of decision makers believe that automation technology could help hiring managers pick the right talent for the job. [0]
- 10%of companies are using AI to optimize talent management. [0]
- 56%of HR departments have increased their revenue by using AI technology. [0]
- Only2%of companies are using sales automation for sales order fulfillment. [0]
- 36%of companies use automation to generate sales quotes. [0]
- 34%of organizations are using automated guided self. [0]
- 60%of customer service professionals say that most of their recommendations for the next best action are automated. [0]
- 38%of customer service reps say their organization uses chatbots to automate customer service interactions. [0]
- 25%of global data and analytics decision makers said their firm lacks an overall vision or strategy for automation. [0]
- 37%of organizations say that implementation costs are a barrier to implementing automation. [0]
- 29%of organizations say that employee training and resistance is a challenge when rolling out automated solutions. [0]
- 54%of companies say that their biggest challenge to automating workflows is mapping complex processes. [0]
- 62%of companies are concerned about the cybersecurity risks associated with AI. [0]
- Total 1 % Of All 0.0 0.0 0.0. [4]
I know you want to use Workload Automation Software, thus we made this list of best Workload Automation Software. We also wrote about how to learn Workload Automation Software and how to install Workload Automation Software. Recently we wrote how to uninstall Workload Automation Software for newbie users. Don’t forgot to check latest Workload Automation statistics of 2024.
Reference
- frevvo – https://www.frevvo.com/blog/workflow-automation-statistics/.
- grandviewresearch – https://www.grandviewresearch.com/industry-analysis/workload-scheduling-automation-market.
- peerspot – https://www.peerspot.com/products/ibm-workload-automation-reviews.
- advsyscon – https://www.advsyscon.com/blog/gartner-it-automation/.
- cvedetails – https://www.cvedetails.com/product/31918/CA-Workload-Automation-Ae.html?vendor_id=174.
How Useful is Workload Automation
One of the key benefits of workload automation is its ability to handle complex workflows that involve multiple steps and dependencies. This automation eliminates the need for manual intervention at each stage of the process, which not only saves time but also reduces the risk of human error. By automating these routine tasks, employees can focus on more strategic, value-added activities that can drive the business forward.
Workload automation also enables organizations to leverage their existing infrastructure to its fullest potential. By automating processes and optimizing resource utilization, businesses can achieve significant cost savings and maximize the return on their IT investments. This efficient use of resources allows organizations to scale their operations according to business demands without incurring additional expenses.
Furthermore, workload automation enables organizations to meet stringent service level agreements (SLAs) and compliance requirements. By automating the scheduling and execution of tasks, businesses can ensure that critical processes are completed on time and in accordance with regulatory guidelines. This not only helps organizations avoid costly penalties but also enhances their reputation and credibility in the market.
In today’s increasingly digital and interconnected world, workload automation is crucial for ensuring seamless integration across various systems and applications. By automating the flow of data and information between different platforms, organizations can break down silos, increase visibility, and improve collaboration among teams. This connected ecosystem not only boosts operational efficiency but also drives innovation and accelerates time-to-market for new products and services.
Moreover, workload automation plays a vital role in disaster recovery and business continuity planning. By automating the backup and recovery processes, organizations can minimize downtime, reduce data loss, and ensure uninterrupted operations in case of unforeseen events. This proactive approach to risk management not only protects business-critical assets but also provides stakeholders with the assurance that the business is resilient and well-prepared for any contingency.
In conclusion, workload automation is an invaluable tool that can help organizations streamline operations, improve efficiency, and drive business growth. By automating repetitive tasks, optimizing resource utilization, meeting compliance requirements, fostering collaboration, and enhancing disaster recovery capabilities, workload automation enables businesses to stay competitive, agile, and resilient in today’s dynamic and fast-changing business landscape. As organizations continue to embrace digital transformation and adopt new technologies, workload automation will only become more indispensable in unlocking new possibilities and achieving sustainable success.
In Conclusion
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