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The RPA and hyperautomation market size is valued to increase USD 31.64 billion, at a CAGR of 27.77% from 2023 to 2028. Rise in need for automation within major industries will drive the RPA and hyperautomation market.
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The RPA and hyperautomation industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The solutions segment is estimated to witness significant growth during the forecast period.
The market trends indicate a significant growth trajectory, with solution implementations accounting for a substantial market share in 2023. These solutions leverage automation technologies, including AI, machine learning, and cognitive automation, to streamline business processes and enhance operational efficiency. The market's continuous evolution is marked by the increasing adoption of natural language processing, workflow orchestration, and error reduction capabilities. Hyperautomation platforms facilitate the integration of various automation tools, enabling seamless data flow between software robots, data integration, and API connections. Training programs and exception handling are essential components of RPA and hyperautomation, ensuring a digital workforce that adapts to evolving business requirements.
Compliance requirements and security protocols are also prioritized, with return on investment and audit trails being crucial factors in the decision-making process. Optical character recognition and intelligent automation are integral to the market's expansion, offering organizations the ability to automate complex tasks and processes. Integration platforms and digital workforces are increasingly being adopted to optimize business processes, with machine learning models and change management strategies playing a pivotal role in ensuring successful implementations. Future industry growth is anticipated to be robust, with organizations in various sectors, including finance, healthcare, and manufacturing, recognizing the potential benefits of RPA and hyperautomation.
The Solutions segment was valued at USD 2.91 billion in 2018 and showed a gradual increase during the forecast period.
The market's ongoing development is expected to bring about cost savings automation, automation anywhere, and the continued refinement of process mining tools and business process management systems. Incorporating RPA and hyperautomation into business operations can lead to substantial time and cost savings, enabling organizations to focus on strategic initiatives and drive growth.
APAC is estimated to contribute 42% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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North America's rapid digital transformation fuels the market's growth. With businesses in the region among the first to adopt new technologies, they have generated vast amounts of data, necessitating efficient management solutions. RPA and hyperautomation offer significant benefits, including reduced labor requirements, substantial time and cost savings, and freed resources for strategic decision-making. As of now, North America accounts for a substantial market share due to these advantages.
The region's industry verticals, such as finance, healthcare, and manufacturing, are major contributors to this trend. This business process automation adoption not only enhances operational efficiency but also positions companies for future success.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The market is witnessing significant growth as businesses worldwide seek to streamline operations and enhance productivity through AI-driven process automation. Hyperautomation, an extension of RPA, integrates advanced technologies like machine learning, artificial intelligence, and process mining to automate complex business processes. Implementing hyperautomation and RPA comes with challenges, including the need for robust change management strategies, human-in-the-loop workflows, and exception handling. Best practices include careful planning, prioritizing processes, and considering the total cost of ownership, including implementation, maintenance, and training costs. Intelligent automation ROI calculations are crucial for businesses to assess the financial benefits of these technologies.
Workflow orchestration software comparisons help organizations select the right solution for their needs, while process mining enables business process improvement by analyzing existing workflows and identifying inefficiencies. Data integration strategies for RPA are essential to ensure seamless communication between systems. Security considerations are paramount, with cloud-based RPA deployment models offering flexibility and scalability but requiring robust security measures. Low-code RPA platforms simplify implementation, enabling businesses to automate processes quickly and efficiently. Human-in-the-loop automation workflows strike a balance between automation and human intervention, ensuring accuracy and efficiency. According to market information, more than 60% of RPA projects involve the use of cloud-based platforms, reflecting the growing preference for flexibility and scalability.
This trend is expected to continue, with the cloud-based RPA market projected to expand at a rapid pace. Successfully implementing RPA and hyperautomation requires careful planning, selecting the right company, and developing a comprehensive strategy. Compliance requirements are also essential considerations, with regulations like GDPR and HIPAA driving the need for robust data security and privacy measures. Future trends in intelligent automation include the integration of RPA with other technologies like artificial intelligence, machine learning, and natural language processing, enabling more sophisticated automation capabilities. This integration is expected to drive significant growth in the market.
The RPA and hyperautomation market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the RPA and hyperautomation market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape of RPA And Hyperautomation Industry
Companies are implementing various strategies, such as strategic alliances, RPA and hyperautomation market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Akabot - The Alteryx automation platform is a leading solution in the Robotic Process Automation (RPA) hyperautomation market.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled RPA And Hyperautomation Market insights. See full methodology.
Market Scope |
|
Report Coverage |
Details |
Page number |
165 |
Base year |
2023 |
Historic period |
2018-2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 27.77% |
Market growth 2024-2028 |
USD 31635.5 million |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
22.76 |
Key countries |
US, Canada, India, Japan, Australia, South Korea, China, UK, Germany, South Africa, and Saudi Arabia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
What is the expected growth of the RPA And Hyperautomation Market between 2024 and 2028?
USD 31.64 billion, at a CAGR of 27.77%
What segmentation does the market report cover?
The report segmented by Component (Solutions and Services), Technology (RPA, Business process management suites, Decision management systems, and Integration platform as a service), Geography (North America, APAC, Europe, South America, and Middle East and Africa), Deployment (Cloud, On-premises, Cloud, and On-premises), Organization Size (SMEs, Large Enterprises, SMEs, and Large Enterprises), and Verticals (BFSI, IT and Telecom, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Transportation and Logistics, Others, BFSI, IT and Telecom, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Transportation and Logistics, and Others)
Which regions are analyzed in the report?
North America, APAC, Europe, South America, and Middle East and Africa
What are the key growth drivers and market challenges?
Rise in need for automation within major industries, Lack of awareness regarding RPA and hyperautomation solutions
Who are the major players in the RPA And Hyperautomation Market?
Key Companies Akabot, Alteryx Inc., Appian Corp., Automation Anywhere Inc., Celonis SE, Compulink Management Center Inc., Datamatics Global Services Limited, Fortra LLC, International Business Machines Corp., Juniper Networks Inc., Microsoft Corp., NICE Ltd., PagerDuty Inc., Pegasystems Inc., ProcessMaker Inc., SAP SE, SolveXia Pty Ltd., SS and C Technologies Holdings Inc., UiPath Inc., and Zendesk Inc.
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Technology
8 Market Segmentation by Deployment
9 Market Segmentation by Organization Size
10 Market Segmentation by Verticals
11 Customer Landscape
12 Geographic Landscape
13 Drivers, Challenges, and Opportunity/Restraints
14 Competitive Landscape
15 Competitive Analysis
16 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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