Hyperautomation Market 2031 Trends: Expected to Grow at a CAGR of 30.4% from 2022 to 2031, Claims AMR

According to a new report published by Allied Market Research, titled, "Hyperautomation Market," The hyperautomation market size was valued at $6.9 billion in 2021, and is estimated to reach $98.3 billion by 2031, growing at a CAGR of 30.4% from 2022 to 2031.

Hyperautomation is the fusion of automation and robotics technologies such as artificial intelligence in a single system. Through this technology, robotic process automation is combined with technologies such as machine learning, deep learning, and natural language processing. By analyzing the data, artificial intelligence or machine learning facilitates decision-making.

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Furthermore, the digitalization of the traditional manufacturing plants and increased adoption of automated manufacturing processes by various industries drive the growth of the hyperautomation market. In addition, high growth of digital transformation with advanced techniques in hyperautomation fuels the growth of the hyperautomation market. However, lack of skilled manpower and trainers in hyperautomation and high initial cost of automation system is expected to impede the hyperautomation market growth. Furthermore, increase in demand for automation among major industries is expected to offer remunerative opportunities for expansion during the hyperautomation market forecast.

Depending on enterprise size, the hyperautomation market was dominated by large public sector, due to its cost-saving benefits, along with other capabilities such as higher productivity and efficiencies which can be achieved through automation. However, SMEs are expected to witness growth at the highest rate during the forecast period, due to increased demand of advanced technology for operational efficiency and adoption of IoT technology, which further drives hyperautomation market demand.

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Depending upon region, the hyperautomation market was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to the technological advancements in end-use industries such as healthcare, automotive, retail, and BFSI among others in the region. However, Asia-Pacific is expected to witness significant growth during the forecast period, owing to rapid conversion of traditional manufacturing plants into automated plants.

Covid-19 Scenario

1. The hyperautomation market has recorded continuous investments for its developments and has become a massive contributor to economic growth before 2020.

2. However, the COVID-19 pandemic led to the implementation the global lokdown which resulted to substantially impact the value chain of the hyperautomation market.

3. Furthermore, the COVID-19 pandemic impacted almost all the industries globally including hyperautomation and machinery. As a result, a drop was witnessed in the growth trend of the market during the first half of 2020.

4. Nevertheless, the demand is expected to increase in the post-pandemic, due to the growing concern for smart automation, energy and resource efficiency.

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The key players profiled in the hyperautomation market analysis are Appian, Automation Anywhere, ALLERIN TECH PVT LTD, Catalytic, Celonis, Decisions, ElectroNeek Robotics Inc, G1ANT, Laiye, OneGlobe LLC, Infosys Limited, SolveXia, Tata Consultancy services, Microsoft Corporation, IBM Corporation, ProcessMaker and Automate.io. These players have adopted various strategies to increase their market penetration and strengthen their position in the hyperautomation industry.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients in making strategic business decisions and achieving sustainable growth in their respective market domains.

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