Hyper Automation Market Revenue To Surpass US$ 32,632 Mn By 2030 – Exclusive Report By Acumen Research And Consulting
Acumen Research and Consulting
Acumen Research and Consulting

Acumen Research and Consulting recently published report titled “Hyper Automation Market - Global Industry Analysis, Market Size, Opportunities and Forecast, 2022-2030”

TOKYO, April 28, 2022 (GLOBE NEWSWIRE) -- The global hyper automation market is anticipated to expand at a CAGR of more than 18.7% for the next few years, reaching a value of more than US$ 32,632 million by 2030.

Hyper automation is a wise combination of leading technologies such as artificial intelligence (AI), machine learning (ML), RPA, and advanced analytics. This enables a broad range of enterprise-level users to take advantage of the best virtual workforce, which is both immune and intelligent. Hyper automation provides a full package to user groups by enabling the discovery, design, build, enhancement, and self-learning features for a diverse set of use cases across functions and domains.

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According to McKinsey report, 2.6 trillion hours of work are automated in the United States alone each year, and The Wall Street Journal reported 37,000 US-based AI job postings, a 45 percent increase from the previous year. According to an IBM IBV study, this increase in AI jobs will generate $134 billion in labor value by 2022.

COVID-19 Impact on the Hyper Automation Industry

Growing automation trends in the manufacturing and healthcare sectors are gaining traction globally, driving the hyper automation market growth. Several manufacturing companies are implementing hyper automation in order to reduce operational expenditure (OPEX) and improve overall manufacturing process efficiency. Nonetheless, a global slowdown in manufacturing activity is having a negative impact on market size in 2020, owing to the COVID-19 pandemic.

Global Hyper Automation Market Growth Factors

Some of the leading factors that are driving the global hyper automation market include growth in digitalization, improved efficiency, reduced operational cost, and increased demand for automation in the manufacturing process.

Automation makes identifying vulnerabilities and implementing fixes simple, allowing businesses to be proactive and solve security issues before they become a problem. Smart software can also learn what constitutes typical use and detect problems, such as violations of security policies, automatically. Automation may help with security and compliance in a variety of ways. According to a recent RedHat survey, enhancing security and compliance were the top drivers for deploying automation technologies for 47% of firms.