GITNUX MARKETDATA REPORT 2024

Intelligent Process Automation Industry Statistics

The Intelligent Process Automation industry is expected to experience significant growth in the coming years, with a projected market value reaching $16.3 billion by 2026.

Highlights: Intelligent Process Automation Industry Statistics

  • The global intelligent process automation market size is expected to reach USD 16.3 billion by 2025
  • In 2020, the North American region held the largest share in the Intelligent Process Automation market.
  • Europe was the second-largest regional market for Intelligent Process Automation in 2020.
  • The banking, financial services, and insurance sector dominates the application of intelligent process automation.
  • The Asia Pacific region is expected to witness the fastest growth in the Intelligent Process Automation market during 2021-2028.
  • The large enterprises segment accounted for the largest intelligent process automation market share in 2020.
  • The Natural Language Processing technology is projected to grow at the highest CAGR during the forecast period in the intelligent process automation market.
  • Over 76% of enterprises globally are prioritizing intelligent process automation in their digital transformation strategies.
  • More than 69% of businesses have implemented robotic process automation (RPA), a key component of intelligent process automation.
  • Intelligent Process Automation solutions are expected to potentially replace 140 million full-time employees worldwide by 2025.
  • The US constitutes over 30% of the intelligent process automation market.
  • Companies investing in Intelligent Process Automation can expect an average of 20% cost savings over the next 2 years.
  • The use of machine learning, a component of intelligent process automation, in organizations has doubled from 2018 to 2020, from 20% to 39%.
  • As of 2020, 50% of organizations are in the process of implementing intelligent automation at scale.
  • Intelligent Process Automation can increase productivity by up to 20%.
  • 88% of enterprises worldwide expect Robotic Process Automation (RPA) and Artificial Intelligence (AI) to bring value to their company’s operations, which are key elements of intelligent process automation.
  • Intelligent Process Automation is being used by 23 percent of organizations worldwide to help automate daily tasks and boost productivity.

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The Latest Intelligent Process Automation Industry Statistics Explained

The global intelligent process automation market size is expected to reach USD 16.3 billion by 2025

The statistic that the global intelligent process automation market size is projected to reach USD 16.3 billion by 2025 indicates the anticipated growth and significance of this industry. Intelligent process automation refers to the use of technology, such as artificial intelligence and machine learning, to improve and automate business processes. The expected market size reflects the increasing adoption of automation technologies across various sectors to streamline operations, reduce costs, and enhance efficiency. The forecasted growth highlights the expanding market opportunities for companies offering intelligent automation solutions, driven by the need for organizations to stay competitive and agile in a rapidly evolving business landscape.

In 2020, the North American region held the largest share in the Intelligent Process Automation market.

The statistic indicates that in 2020, the North American region had the highest market share in the sector of Intelligent Process Automation, which encompasses technologies like robotic process automation, machine learning, and natural language processing to automate business processes. This suggests that North America outpaced other regions such as Europe, Asia-Pacific, and Latin America in adopting and investing in Intelligent Process Automation solutions, potentially due to factors like advanced digital infrastructure, a conducive business environment, and a high level of technological innovation. This dominance in market share could signify a strong demand and uptake of automation technologies among businesses in North America, positioning the region as a key player in driving advancements and growth within the Intelligent Process Automation market.

Europe was the second-largest regional market for Intelligent Process Automation in 2020.

This statistic indicates that in 2020, Europe ranked as the second-largest regional market for Intelligent Process Automation (IPA) solutions, following another region that had a higher adoption or market share. The term “Intelligent Process Automation” typically refers to the use of advanced technologies such as artificial intelligence, machine learning, and robotics to automate business processes and improve operational efficiency. The fact that Europe held the second-largest position suggests that the region had a significant uptake of IPA technologies, reflecting a growing trend towards digitization and automation in European industries. This statistic highlights Europe’s active participation in leveraging technological advancements to streamline processes and drive innovation in business operations.

The banking, financial services, and insurance sector dominates the application of intelligent process automation.

This statistic suggests that within the realm of intelligent process automation, the banking, financial services, and insurance sector is the most prevalent or prominent in its application. This sector appears to be leading the way in adopting and utilizing automation technologies to improve operational efficiency, enhance customer experiences, and streamline various business processes. The dominance of intelligent process automation in this sector could be attributed to the high volume of repetitive tasks, data-intensive processes, and regulatory requirements that are inherent in banking, financial services, and insurance activities. As a result, organizations within these industries are leveraging automation solutions to optimize their operations, reduce costs, and remain competitive in the rapidly evolving landscape of financial services.

The Asia Pacific region is expected to witness the fastest growth in the Intelligent Process Automation market during 2021-2028.

The statistic indicates that the Asia Pacific region is projected to experience the most rapid expansion in the Intelligent Process Automation sector between 2021 and 2028. This growth could be attributed to factors such as increasing adoption of automation technologies by businesses in the region, advancements in artificial intelligence and machine learning, rising demand for operational efficiency and cost savings, and a growing awareness of the benefits of intelligent automation solutions. The Asia Pacific market for Intelligent Process Automation is anticipated to outpace other regions in terms of growth rate, presenting significant opportunities for businesses and technology providers in the region.

The large enterprises segment accounted for the largest intelligent process automation market share in 2020.

The statistic that the large enterprises segment accounted for the largest intelligent process automation market share in 2020 indicates that among different types of businesses, including small, medium, and large enterprises, the larger organizations led in adopting and investing in intelligent process automation technology. This suggests that large enterprises have recognized the value and potential benefits of automation in streamlining operations, improving efficiency, and driving business growth. Their significant market share highlights their focus on leveraging advanced automation solutions to enhance productivity, reduce costs, and stay competitive in today’s rapidly evolving business landscape.

The Natural Language Processing technology is projected to grow at the highest CAGR during the forecast period in the intelligent process automation market.

The statement suggests that among various technologies in the intelligent process automation market, Natural Language Processing (NLP) is expected to exhibit the highest Compound Annual Growth Rate (CAGR) during the forecast period. This indicates a strong growth trajectory for NLP technology, which involves the ability of computers to understand, analyze, and generate human language. The projected growth in NLP within the intelligent process automation market suggests increasing adoption and utilization of NLP-driven solutions for automating and streamlining processes that involve language-based data and interactions. This growth can be driven by the increasing demand for automation in various industries, as well as advancements in NLP capabilities and applications.

Over 76% of enterprises globally are prioritizing intelligent process automation in their digital transformation strategies.

The statistic indicates that a significant majority of enterprises worldwide, specifically over 76%, are placing high importance on incorporating intelligent process automation into their digital transformation initiatives. This suggests that businesses are recognizing the potential benefits of utilizing technologies like artificial intelligence and machine learning to streamline and optimize their operations. By prioritizing intelligent process automation, organizations aim to increase efficiency, reduce costs, and enhance the quality of their services or products, ultimately seeking to stay competitive and agile in a rapidly evolving digital landscape. This statistic underscores the growing trend towards automation as a key component of digital transformation strategies across various industries and regions.

More than 69% of businesses have implemented robotic process automation (RPA), a key component of intelligent process automation.

The statistic that more than 69% of businesses have implemented robotic process automation (RPA), a key component of intelligent process automation, indicates a rapidly growing adoption of automation technologies within the business sector. RPA involves the use of software robots to streamline and automate repetitive tasks, leading to increased efficiency, productivity, and cost savings for organizations. The fact that a significant majority of businesses have embraced RPA reflects a strong recognition of the benefits automation can bring in terms of enhancing operational processes and staying competitive in the increasingly digital and fast-paced business environment. It suggests that businesses are increasingly leveraging technology to optimize their operations and drive business growth.

Intelligent Process Automation solutions are expected to potentially replace 140 million full-time employees worldwide by 2025.

The statistic suggests that the adoption of Intelligent Process Automation (IPA) solutions is predicted to have a significant impact on the global workforce by potentially replacing 140 million full-time employees by the year 2025. IPA refers to the use of technologies like artificial intelligence, machine learning, and robotics to automate routine and repetitive tasks currently performed by human workers. The projected number of jobs potentially impacted highlights the potential scale of disruption that IPA could bring to various industries and job roles. This statistic underscores the growing trend towards automation and digital transformation in the workplace, which could lead to both opportunities and challenges for the workforce in the upcoming years.

The US constitutes over 30% of the intelligent process automation market.

The statistic “The US constitutes over 30% of the intelligent process automation market” indicates that the United States holds a significant market share in the field of intelligent process automation. This suggests that a substantial portion of companies investing in automation technologies, such as robotic process automation and artificial intelligence, are based in the US or are operating within the US market. The high percentage reflects the US market’s significant presence and influence in driving the development and adoption of automation technologies globally, highlighting the country’s strong position in the advancement of digital transformation and innovation in business processes.

Companies investing in Intelligent Process Automation can expect an average of 20% cost savings over the next 2 years.

The statistic suggests that companies that choose to invest in Intelligent Process Automation (IPA) can anticipate saving an average of 20% on their costs within the next 2 years. IPA involves leveraging technologies like artificial intelligence and machine learning to automate repetitive and predictable tasks within business processes. By implementing IPA, organizations can streamline operations, reduce manual labor, minimize errors, and increase efficiency. The projected 20% cost savings indicates the potential financial benefits that companies can realize through the adoption of IPA, making it an appealing investment for businesses aiming to improve their bottom line and operational effectiveness.

The use of machine learning, a component of intelligent process automation, in organizations has doubled from 2018 to 2020, from 20% to 39%.

The statistic suggests a significant increase in the adoption of machine learning, a key aspect of intelligent process automation, within organizations over the two-year period from 2018 to 2020. Specifically, the proportion of organizations utilizing machine learning technology has doubled from 20% in 2018 to 39% in 2020. This growth implies a strong trend towards integrating advanced automation and predictive analytics techniques into business operations to enhance efficiency, decision-making, and overall competitiveness. The notable rise in machine learning adoption signifies a growing recognition of its transformative potential and the increasing importance of leveraging data-driven insights for driving business success in today’s rapidly evolving digital landscape.

As of 2020, 50% of organizations are in the process of implementing intelligent automation at scale.

The statistic “As of 2020, 50% of organizations are in the process of implementing intelligent automation at scale” indicates that a significant portion of organizations are currently adopting advanced automation technologies to enhance their operations. Intelligent automation involves the combination of artificial intelligence and robotic process automation to streamline processes, reduce costs, and improve efficiency. This statistic highlights a growing trend among businesses to leverage cutting-edge technologies to stay competitive in a rapidly evolving marketplace. By embracing intelligent automation at scale, organizations can potentially transform their operations and drive innovation in their respective industries.

Intelligent Process Automation can increase productivity by up to 20%.

The statistic stating that Intelligent Process Automation can increase productivity by up to 20% indicates the potential impact that implementing automation technologies can have on operational efficiency. By leveraging advanced algorithms and machine learning capabilities, Intelligent Process Automation can streamline processes, reduce manual tasks, and improve decision-making speed within an organization. This can lead to significant time savings and enhanced productivity levels, allowing employees to focus on more strategic tasks and driving overall business performance. The 20% productivity increase suggests a substantial improvement in operational output, making automation a valuable tool for organizations seeking to enhance their competitive edge and achieve greater efficiency in today’s rapidly evolving digital landscape.

88% of enterprises worldwide expect Robotic Process Automation (RPA) and Artificial Intelligence (AI) to bring value to their company’s operations, which are key elements of intelligent process automation.

The statistic that 88% of enterprises worldwide expect Robotic Process Automation (RPA) and Artificial Intelligence (AI) to bring value to their company’s operations highlights the growing recognition and excitement around the potential benefits of intelligent process automation. As businesses increasingly embrace digital transformation, incorporating RPA and AI technologies is seen as a way to streamline operations, enhance efficiency, and drive innovation. This expectation reflects a broader trend towards automation and the integration of cutting-edge technologies to optimize workflows and decision-making processes in order to remain competitive in today’s rapidly evolving business landscape.

Intelligent Process Automation is being used by 23 percent of organizations worldwide to help automate daily tasks and boost productivity.

The statistic suggests that Intelligent Process Automation (IPA) is being increasingly adopted by organizations around the world, with 23 percent using this technology to automate daily tasks and enhance productivity. IPA combines artificial intelligence, machine learning, and automation to streamline workflows and repetitive tasks, allowing employees to focus on more strategic and high-value activities. By leveraging IPA, organizations can reduce human errors, improve operational efficiency, and drive overall business growth. This data highlights a growing trend towards embracing automation technologies as a key strategy for enhancing competitiveness and innovation in the constantly evolving business landscape.

Conclusion

Overall, the statistics presented in this blog post highlight the significant growth and impact of the Intelligent Process Automation industry. As organizations continue to adopt automation technologies to improve efficiency and productivity, these trends are expected to soar even higher in the coming years. Stay informed, stay ahead, and embrace the power of Intelligent Process Automation.

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How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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