Hyperautomation

Hyperautomation is a business-driven approach that integrates Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) to address complex business challenges. With the ever-evolving market landscape and intense competition, businesses must continuously adapt to changing environmental factors. As a result, organisations are increasingly adopting hyperautomation as a technological solution, not only to eliminate redundant tasks but also to handle intricate processes that were once difficult to execute.

By streamlining end-to-end business operations, hyperautomation enhances efficiency through improved data collection, segregation, and decision-making processes. The growing interest in hyperautomation has led to significant investments from private institutions and startups, further accelerating market expansion. For instance, in 2022, Accel raised USD 18.3 billion to support the development of AI-based technologies, while AEye secured USD 314 million to advance robotic vision applications for industrial automation.

As businesses seek to optimise workflow efficiency, improve decision-making, and reduce operational costs, hyperautomation continues to gain traction across various industries. The integration of AI and RPA in enterprise processes allows organisations to enhance productivity and scalability. With continuous technological advancements and increased investment in AI-driven automation, the hyperautomation market is poised for significant growth in the coming years.

New research on the Hyperautomation market (Brainy Insights) offers in-depth analysis of the Market including overall size, share, and product definitions. It also delves into supply chain analysis, examining the supply chain ratio, upstream raw materials and equipment, downstream demand analysis, and detailed import /export information.

The global hyperautomation market was valued at USD 36.46 billion in 2022 and is expected to grow at a CAGR of 16.5% from 2023 to 2032, reaching an estimated USD 168 billion by 2032. The increasing digitisation of traditional manufacturing plants has been a key driver of market growth. Additionally, the rising demand to reduce overall business operational costs presents lucrative opportunities for the expansion of hyperautomation solutions during the forecast period.

Market Summary On The Basis Of The Type, The Market Has Been Bifurcated Into

by Technology Type:

• Biometrics
• Machine Learning
• Context-Aware Computing
• Natural Learning Generation
• Chatbots
• Robotic Process Automation

Based On The Application / End Users, The Market Has Been Divided Into

by End-User Industry:

• BFSI
• Retail
• IT & Telecom
• Education
• Automotive
• Manufacturing
• Healthcare & Life Science

Top Leading Companies:

UiPath, Wipro Ltd., Tata Consultancy Services Ltd., Mitsubishi Electric Corporation, OneGlobe LLC, SolveXia, Appian, Automation Anywhere Inc., Allerin Tech Pvt. Ltd., PagerDuty, Inc., Honeywell International Inc

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