The North America AI-Driven Hyperautomation Market is expected to witness market growth of 19.1% CAGR during the forecast period (2024-2031).
The US market dominated the North America AI-Driven Hyperautomation Market by Country in 2023; thereby, achieving a market value of $38.06 billion by 2031, growing at a CAGR of 18.3 % during the forecast period. The Canada market is expected to witness a CAGR of 21.5% during 2024-2031. Additionally, the Mexico market would experience a CAGR of 20.6% during 2024-2031.
AI-driven hyperautomation refers to the advanced integration of artificial intelligence (AI) technologies into hyperautomation, automating business workflows and tasks across an organization. While hyperautomation typically involves using technologies like Robotic Process Automation (RPA), machine learning (ML), and other automation tools to streamline repetitive tasks, AI-driven hyperautomation takes this concept further by incorporating intelligent decision-making capabilities.
The demand for automated processes has been present for several decades. The introduction of artificial intelligence and machine learning has conferred a fresh facet upon the landscape of automation, rendering it more intelligent, scalable, and able to manage an ever-expanding variety of business procedures. The AI-driven hyperautomation market has been experiencing exponential growth, driven by the need for businesses to operate more efficiently and maintain competitiveness in an increasingly digital world. Companies across healthcare, finance, manufacturing, logistics, retail, and energy sectors are increasingly leveraging AI-driven hyperautomation solutions to transform their operations, improve customer satisfaction, and enhance productivity.
Mexico's manufacturing sector, particularly driven by industries such as automotive and electronics, is also experiencing a surge in demand for automation technologies. In the first quarter of 2024, the country's manufacturing sector contributed $6.26 trillion MXN to its gross domestic product (GDP), underscoring its vital role in the national economy.
To stay competitive in the market, Mexican manufacturers increasingly invest in sophisticated automation solutions like robotics and AI-driven systems to enhance productivity and streamline production processes. The Mexican government has actively supported these efforts through initiatives that promote investment in advanced manufacturing technologies, aiming to optimize production efficiency and bolster the sector’s competitiveness. As such, the region presents significant opportunities for the growth of the market.
Based on Component, the market is segmented into Solutions and Services (Professional Services and Managed Service). Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises (SMEs). Based on Technology, the market is segmented into Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP), AI & Cognitive Computing, Intelligent Document Processing (IDP), Business Process Management (BPM), and Other Technology.
The US market dominated the North America AI-Driven Hyperautomation Market by Country in 2023; thereby, achieving a market value of $38.06 billion by 2031, growing at a CAGR of 18.3 % during the forecast period. The Canada market is expected to witness a CAGR of 21.5% during 2024-2031. Additionally, the Mexico market would experience a CAGR of 20.6% during 2024-2031.
AI-driven hyperautomation refers to the advanced integration of artificial intelligence (AI) technologies into hyperautomation, automating business workflows and tasks across an organization. While hyperautomation typically involves using technologies like Robotic Process Automation (RPA), machine learning (ML), and other automation tools to streamline repetitive tasks, AI-driven hyperautomation takes this concept further by incorporating intelligent decision-making capabilities.
The demand for automated processes has been present for several decades. The introduction of artificial intelligence and machine learning has conferred a fresh facet upon the landscape of automation, rendering it more intelligent, scalable, and able to manage an ever-expanding variety of business procedures. The AI-driven hyperautomation market has been experiencing exponential growth, driven by the need for businesses to operate more efficiently and maintain competitiveness in an increasingly digital world. Companies across healthcare, finance, manufacturing, logistics, retail, and energy sectors are increasingly leveraging AI-driven hyperautomation solutions to transform their operations, improve customer satisfaction, and enhance productivity.
Mexico's manufacturing sector, particularly driven by industries such as automotive and electronics, is also experiencing a surge in demand for automation technologies. In the first quarter of 2024, the country's manufacturing sector contributed $6.26 trillion MXN to its gross domestic product (GDP), underscoring its vital role in the national economy.
To stay competitive in the market, Mexican manufacturers increasingly invest in sophisticated automation solutions like robotics and AI-driven systems to enhance productivity and streamline production processes. The Mexican government has actively supported these efforts through initiatives that promote investment in advanced manufacturing technologies, aiming to optimize production efficiency and bolster the sector’s competitiveness. As such, the region presents significant opportunities for the growth of the market.
Based on Component, the market is segmented into Solutions and Services (Professional Services and Managed Service). Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises (SMEs). Based on Technology, the market is segmented into Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP), AI & Cognitive Computing, Intelligent Document Processing (IDP), Business Process Management (BPM), and Other Technology.
List of Key Companies Profiled
- UiPath, Inc.
- Automation Anywhere, Inc.
- Blue Prism Group PLC (SS&C Technologies Holdings, Inc.)
- Wipro Limited
- Honeywell International, Inc.
- Tata Consultancy Services Ltd.
- Mitsubishi Electric Corporation
- Microsoft Corporation
- Google LLC
- NVIDIA Corporation
Market Report Segmentation
By Component
- Solutions
- Services
- Professional Services
- Managed Service
By Enterprise Size
- Large Enterprises
- Small & Medium-Sized Enterprises (SMEs)
By Technology
- Robotic Process Automation (RPA)
- Machine Learning (ML)
- Natural Language Processing (NLP)
- AI & Cognitive Computing
- Intelligent Document Processing (IDP)
- Business Process Management (BPM)
- Other Technology
By Function
- Process Automation
- Data Analytics & Insights
- Customer Service Automation
- IT Operations Automation (ITOps)
- Business Process Management & Optimization
- Document Processing Automation
- Other Function
By Country
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA AI-Driven Hyperautomation Market by Component
Chapter 6. LAMEA AI-Driven Hyperautomation Market by Enterprise Size
Chapter 7. LAMEA AI-Driven Hyperautomation Market by Technology
Chapter 8. LAMEA AI-Driven Hyperautomation Market by Function
Chapter 9. LAMEA AI-Driven Hyperautomation Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- UiPath, Inc.
- Automation Anywhere, Inc.
- Blue Prism Group PLC (SS&C Technologies Holdings, Inc.)
- Wipro Limited
- Honeywell International, Inc.
- Tata Consultancy Services Ltd.
- Mitsubishi Electric Corporation
- Microsoft Corporation
- Google LLC
- NVIDIA Corporation
Methodology
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