Hyperautomation Market
PUBLISHED: 2024 ID: SMRC27204
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Hyperautomation Market

Hyperautomation Market Forecasts to 2030 - Global Analysis By Type (Tools, Integration Technologies, Infrastructure Automation, Security Automation, Collaboration Automation and Other Types), Deployment Mode, Organization Size, Technology, Application, End User and By Geography

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4.7 (64 reviews)
Published: 2024 ID: SMRC27204

This report covers the impact of COVID-19 on this global market
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According to Stratistics MRC, the Global Hyperautomation Market is accounted for $12.9 billion in 2024 and is expected to reach $42.1 billion by 2030 growing at a CAGR of 21.8% during the forecast period.  Hyperautomation is a strategy aimed at automating business and IT processes by integrating technologies like RPA, AI, and ML. It aims to transform isolated processes into intelligent systems, enhancing efficiency and effectiveness. Key characteristics include integrating technologies like process mining, AI, and workflow automation, targeting enterprise-wide processes, and focusing on continuous improvement through data insights to refine processes and enhance decision-making capabilities.

According to the Society of Actuaries (SOA), nearly two-thirds of executives anticipate that predictive analytic tools will cut organizational costs by 15% or more by 2023. 

Market Dynamics: 

Driver: 

Booming e-commerce sector

E-commerce companies are utilizing hyperautomation solutions to automate order processing, inventory management, customer engagement, targeted marketing, pricing and competitive analysis, and supply chain optimization. These solutions reduce manual intervention, improve order fulfillment speed, and optimize inventory levels. AI-powered chatbots and virtual assistants provide 24/7 assistance, while AI-based forecasting models predict demand. Hyperautomation also enhances supply chain accuracy, efficiency, and cost-effectiveness. Thus the industry's rapid growth and focus on automation are driving its adoption.

Restraint:

Lack of skilled personnel

Hyperautomation solutions can be delayed due to the lack of skilled professionals, leading to inefficiencies and suboptimal performance. This can result in increased costs, as companies may need to invest in training programs or external consultants. Additionally, the lack of skilled professionals can deter organizations from adopting hyperautomation, as they may perceive the challenges as too complex or costly hampering the growth of the market.  

Opportunity:

Increased demand for automation in banking and digital transformation initiatives

Automation in the banking sector offers numerous benefits, including enhanced operational efficiency, improved customer experience, competitive advantage, cost reduction, and scalability. By streamlining processes like customer onboarding, transaction processing, and compliance checks, banks can lower operational costs and deliver faster service. Additionally, automation helps maintain regulatory compliance, encourages innovation in services, and enables data-driven decision-making, enhancing strategic planning and operational effectiveness.

Threat:

Complexity of implementation

Hyperautomation projects can increase costs due to their complexity, requiring additional resources and specialized training. This can lead to operational disruptions, decreased productivity, and customer dissatisfaction. The complexity of implementation can also cause resistance among employees, leading to a lack of buy-in and the incorrect implementation can result in suboptimal performance, reducing benefits and deterring companies from investing in these solutions.

Covid-19 Impact: 

The COVID-19 pandemic has significantly accelerated the hyperautomation market, resulting in increased demand for automation solutions and accelerated digital transformation. Organizations have adapted to remote work and digital operations, leading to increased investments in hyperautomation technologies. Hyperautomation has become a focus for resilience and efficiency, particularly in sectors like healthcare, banking, and retail. These sectors have benefited from automation in managing patient records, automating billing processes, and improving service delivery and regulatory compliance.

The integration technologies segment is expected to be the largest during the forecast period

The integration technologies is expected to be the largest during the forecast period owing to AI, machine learning, and robotic process automation are technologies that enhance efficiency and productivity by automating various processes. This can improve financial services productivity by up to 30% by minimizing manual intervention. Additionally, integrating these technologies with redesigned operational processes can lower operational costs by up to 30% by 2024, as it automates repetitive tasks and improves resource allocation.

The artificial intelligence segment is expected to have the highest CAGR during the forecast period

The artificial intelligence segment is expected to have the highest CAGR during the forecast period because AI algorithms can also automate complex business processes by analyzing historical data, identifying patterns, and suggesting improvements. This reduces human intervention and automates repetitive tasks, decision-making, and exception handling, enhancing decision-making and process automation thus propelling the growth of the market..

Region with largest share:

North America is projected to hold the largest market share during the forecast period owing to the rapid digitalization of traditional industries is driving hyperautomation adoption, with companies integrating advanced technologies like Robotic Process Automation, AI, and Machine Learning to improve operational efficiency and reduce costs. The U.S. manufacturing sector is a major contributor to the hyperautomation market.

Region with highest CAGR:

Asia Pacific is projected to witness the highest CAGR over the forecast period driven by the increasing demand for efficiency and productivity, cost reduction, and improved customer experience in industries like banking, healthcare, and manufacturing, and government initiatives promoting digital transformation. Moreover India is expected to be an attractive market for hyperautomation due to the numerous safe city projects announced in the country, which will encourage the use of AI, ML, and big data.

Key players in the market

Some of the key players in Hyperautomation market include akaBot, Allerin Tech Pvt. Ltd., Alteryx, Appian, Automate.io, Automation Anywhere, Catalytic Inc, Honeywell International Inc., Mitsubishi Electric Corporation, OneGlobe LLC, PagerDuty, Inc., Rocketbot, Simple Fractal, SolveXia, Tata Consultancy Services Ltd., UiPath and Wipro Ltd.

Key Developments:

In September 2024, Honeywell announced the completion of its acquisition of CAES Systems Holdings LLC (CAES) from private equity firm Advent International for approximately $1.9 billion in an all-cash transaction.

In August 2024, Honeywell announced collaboration with Cisco on an AI-powered solution that automatically adapts building systems based on fluctuating usage levels, reducing energy consumption and optimizing the environment for worker productivity and comfort.

In August 2024, Honeywell announced the launch of INNCOM Direct, an easy-to-install energy management system that uses automation to help improve energy efficiency in mid-market hotel properties.

Types Covered:
• Tools
• Integration Technologies
• Infrastructure Automation
• Security Automation
• Collaboration Automation
• Other Types

Deployment Modes Covered:
• Cloud-Based
• On-Premises 

Organization Sizes Covered:
• Large Enterprises
• Small & Medium Enterprises

Technologies Covered:
• Artificial Intelligence 
• Machine Learning 
• Natural Language Processing 
• Chatbots 
• Internet of Things 
• Context-Aware Computing 
• Business Process Management 
• Other Technologies 

Applications Covered:
• Customer Experience Enhancement 
• Operational Efficiency Improvement 
• Decision Making Support 
• Compliance & Regulatory Adherence 
• Employee Productivity Enhancement 
• Other Applications 

End Users Covered:
• Manufacturing 
• Healthcare 
• Financial Services 
• Retail 
• Government 
• Other End Users  

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary         
           
2 Preface          
 2.1 Abstract         
 2.2 Stake Holders        
 2.3 Research Scope        
 2.4 Research Methodology       
  2.4.1 Data Mining       
  2.4.2 Data Analysis       
  2.4.3 Data Validation       
  2.4.4 Research Approach       
 2.5 Research Sources        
  2.5.1 Primary Research Sources      
  2.5.2 Secondary Research Sources      
  2.5.3 Assumptions       
           
3 Market Trend Analysis        
 3.1 Introduction        
 3.2 Drivers         
 3.3 Restraints        
 3.4 Opportunities        
 3.5 Threats         
 3.6 Technology Analysis       
 3.7 Application Analysis       
 3.8 End User Analysis        
 3.9 Emerging Markets        
 3.10 Impact of Covid-19        
           
4 Porters Five Force Analysis        
 4.1 Bargaining power of suppliers       
 4.2 Bargaining power of buyers       
 4.3 Threat of substitutes       
 4.4 Threat of new entrants       
 4.5 Competitive rivalry        
           
5 Global Hyperautomation Market, By Type      
 5.1 Introduction        
 5.2 Tools         
  5.2.1 Robotic Process Automation      
  5.2.2 Artificial Intelligence (AI) Tools     
  5.2.3 Machine Learning Platforms      
  5.2.4 Business Process Automation Tools     
  5.2.5 Low-Code/No-Code Development Platforms    
 5.3 Integration Technologies       
  5.3.1 Application Programming Interfaces     
  5.3.2 Event-Driven Software Architecture     
  5.3.3 Cloud Integration Platforms      
 5.4 Infrastructure Automation       
  5.4.1 Infrastructure as Code      
  5.4.2 Serverless Computing      
  5.4.3 Containerization & Orchestration     
 5.5 Security Automation       
  5.5.1 Security Orchestration, Automation, and Response    
  5.5.2 Identity & Access Management (IAM) Automation    
 5.6 Collaboration Automation       
  5.6.1 Workflow Automation Tools      
  5.6.2 Collaboration Platforms      
 5.7 Other Types        
           
6 Global Hyperautomation Market, By Deployment Mode     
 6.1 Introduction        
 6.2 Cloud-Based        
 6.3 On-Premises        
           
7 Global Hyperautomation Market, By Organization Size     
 7.1 Introduction        
 7.2 Large Enterprises        
 7.3 Small & Medium Enterprises       
           
8 Global Hyperautomation Market, By Technology      
 8.1 Introduction        
 8.2 Artificial Intelligence       
 8.3 Machine Learning        
 8.4 Natural Language Processing       
 8.5 Chatbots         
 8.6 Internet of Things        
 8.7 Context-Aware Computing       
 8.8 Business Process Management      
 8.9 Other Technologies        
           
9 Global Hyperautomation Market, By Application      
 9.1 Introduction        
 9.2 Customer Experience Enhancement      
 9.3 Operational Efficiency Improvement      
 9.4 Decision Making Support       
 9.5 Compliance & Regulatory Adherence      
 9.6 Employee Productivity Enhancement      
 9.7 Other Applications        
           
10 Global Hyperautomation Market, By End User      
 10.1 Introduction        
 10.2 Manufacturing        
 10.3 Healthcare        
 10.4 Financial Services        
 10.5 Retail         
 10.6 Government        
 10.7 Other End Users        
           
11 Global Hyperautomation Market, By Geography      
 11.1 Introduction        
 11.2 North America        
  11.2.1 US        
  11.2.2 Canada        
  11.2.3 Mexico        
 11.3 Europe         
  11.3.1 Germany        
  11.3.2 UK        
  11.3.3 Italy        
  11.3.4 France        
  11.3.5 Spain        
  11.3.6 Rest of Europe       
 11.4 Asia Pacific        
  11.4.1 Japan        
  11.4.2 China        
  11.4.3 India        
  11.4.4 Australia        
  11.4.5 New Zealand       
  11.4.6 South Korea       
  11.4.7 Rest of Asia Pacific       
 11.5 South America        
  11.5.1 Argentina       
  11.5.2 Brazil        
  11.5.3 Chile        
  11.5.4 Rest of South America      
 11.6 Middle East & Africa       
  11.6.1 Saudi Arabia       
  11.6.2 UAE        
  11.6.3 Qatar        
  11.6.4 South Africa       
  11.6.5 Rest of Middle East & Africa      
           
12 Key Developments         
 12.1 Agreements, Partnerships, Collaborations and Joint Ventures    
 12.2 Acquisitions & Mergers       
 12.3 New Product Launch       
 12.4 Expansions        
 12.5 Other Key Strategies       
           
13 Company Profiling         
 13.1 akaBot         
 13.2 Allerin Tech Pvt. Ltd.       
 13.3 Alteryx         
 13.4 Appian         
 13.5 Automate.io        
 13.6 Automation Anywhere       
 13.7 Catalytic Inc        
 13.8 Honeywell International Inc.       
 13.9 Mitsubishi Electric Corporation      
 13.10 OneGlobe LLC        
 13.11 PagerDuty, Inc.        
 13.12 Rocketbot        
 13.13 Simple Fractal        
 13.14 SolveXia         
 13.15 Tata Consultancy Services Ltd.       
 13.16 UiPath         
 13.17 Wipro Ltd.        
           
List of Tables          
1 Global Hyperautomation Market Outlook, By Region (2022-2030) ($MN)    
2 Global Hyperautomation Market Outlook, By Type (2022-2030) ($MN)    
3 Global Hyperautomation Market Outlook, By Tools (2022-2030) ($MN)    
4 Global Hyperautomation Market Outlook, By Robotic Process Automation (2022-2030) ($MN)  
5 Global Hyperautomation Market Outlook, By Artificial Intelligence (AI) Tools (2022-2030) ($MN) 
6 Global Hyperautomation Market Outlook, By Machine Learning Platforms (2022-2030) ($MN)  
7 Global Hyperautomation Market Outlook, By Business Process Automation Tools (2022-2030) ($MN) 
8 Global Hyperautomation Market Outlook, By Low-Code/No-Code Development Platforms (2022-2030) ($MN)
9 Global Hyperautomation Market Outlook, By Integration Technologies (2022-2030) ($MN)  
10 Global Hyperautomation Market Outlook, By Application Programming Interfaces (2022-2030) ($MN) 
11 Global Hyperautomation Market Outlook, By Event-Driven Software Architecture (2022-2030) ($MN) 
12 Global Hyperautomation Market Outlook, By Cloud Integration Platforms (2022-2030) ($MN)  
13 Global Hyperautomation Market Outlook, By Infrastructure Automation (2022-2030) ($MN)  
14 Global Hyperautomation Market Outlook, By Infrastructure as Code (2022-2030) ($MN)  
15 Global Hyperautomation Market Outlook, By Serverless Computing (2022-2030) ($MN)  
16 Global Hyperautomation Market Outlook, By Containerization & Orchestration (2022-2030) ($MN) 
17 Global Hyperautomation Market Outlook, By Security Automation (2022-2030) ($MN)  
18 Global Hyperautomation Market Outlook, By Security Orchestration, Automation, and Response (2022-2030) ($MN)
19 Global Hyperautomation Market Outlook, By Identity & Access Management (IAM) Automation (2022-2030) ($MN)
20 Global Hyperautomation Market Outlook, By Collaboration Automation (2022-2030) ($MN)  
21 Global Hyperautomation Market Outlook, By Workflow Automation Tools (2022-2030) ($MN)  
22 Global Hyperautomation Market Outlook, By Collaboration Platforms (2022-2030) ($MN)  
23 Global Hyperautomation Market Outlook, By Other Types (2022-2030) ($MN)   
24 Global Hyperautomation Market Outlook, By Deployment Mode (2022-2030) ($MN)  
25 Global Hyperautomation Market Outlook, By Cloud-Based (2022-2030) ($MN)   
26 Global Hyperautomation Market Outlook, By On-Premises (2022-2030) ($MN)   
27 Global Hyperautomation Market Outlook, By Organization Size (2022-2030) ($MN)   
28 Global Hyperautomation Market Outlook, By Large Enterprises (2022-2030) ($MN)   
29 Global Hyperautomation Market Outlook, By Small & Medium Enterprises (2022-2030) ($MN)  
30 Global Hyperautomation Market Outlook, By Technology (2022-2030) ($MN)   
31 Global Hyperautomation Market Outlook, By Artificial Intelligence (2022-2030) ($MN)  
32 Global Hyperautomation Market Outlook, By Machine Learning (2022-2030) ($MN)   
33 Global Hyperautomation Market Outlook, By Natural Language Processing (2022-2030) ($MN)  
34 Global Hyperautomation Market Outlook, By Chatbots (2022-2030) ($MN)   
35 Global Hyperautomation Market Outlook, By Internet of Things (2022-2030) ($MN)   
36 Global Hyperautomation Market Outlook, By Context-Aware Computing (2022-2030) ($MN)  
37 Global Hyperautomation Market Outlook, By Business Process Management (2022-2030) ($MN) 
38 Global Hyperautomation Market Outlook, By Other Technologies (2022-2030) ($MN)  
39 Global Hyperautomation Market Outlook, By Application (2022-2030) ($MN)   
40 Global Hyperautomation Market Outlook, By Customer Experience Enhancement (2022-2030) ($MN) 
41 Global Hyperautomation Market Outlook, By Operational Efficiency Improvement (2022-2030) ($MN) 
42 Global Hyperautomation Market Outlook, By Decision Making Support (2022-2030) ($MN)  
43 Global Hyperautomation Market Outlook, By Compliance & Regulatory Adherence (2022-2030) ($MN) 
44 Global Hyperautomation Market Outlook, By Employee Productivity Enhancement (2022-2030) ($MN) 
45 Global Hyperautomation Market Outlook, By Other Applications (2022-2030) ($MN)  
46 Global Hyperautomation Market Outlook, By End User (2022-2030) ($MN)   
47 Global Hyperautomation Market Outlook, By Manufacturing (2022-2030) ($MN)   
48 Global Hyperautomation Market Outlook, By Healthcare (2022-2030) ($MN)   
49 Global Hyperautomation Market Outlook, By Financial Services (2022-2030) ($MN)   
50 Global Hyperautomation Market Outlook, By Retail (2022-2030) ($MN)    
51 Global Hyperautomation Market Outlook, By Government (2022-2030) ($MN)   
52 Global Hyperautomation Market Outlook, By Other End Users (2022-2030) ($MN)   
           
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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