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로봇 프로세스 자동화(RPA) 시장 예측 : 분석과 데이터베이스(2021년)

RPA Market Forecast Report - 2021 Analysis & Database

리서치사 OMDIA
발행일 2021년 05월 상품코드 1024847
페이지 정보 영문 배송안내 1-2일 (영업일 기준)
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로봇 프로세스 자동화(RPA) 시장 예측 : 분석과 데이터베이스(2021년) RPA Market Forecast Report - 2021 Analysis & Database
발행일 : 2021년 05월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

로봇 프로세스 자동화(RPA)와 지능형 자동화(IA) 시장은 2019년부터 2026년간 37%의 연평균 복합 성장률(CAGR)로 성장할 전망으로, 각 지역과 산업 확대에 힘입어 강력한 성장을 이룰 것으로 예측됩니다. 보다 많은 기업이 AI 전략을 채용하여 시간과 비용을 절약할 뿐만 아니라, 더 나은 비지니스 성과를 거두기 위한 추가적인 방법을 모색하고 있기 때문에 IA는 RPA에 비해 빠르게 발전할 것으로 예상됩니다.

RPA 및 IA 시장은 COVID- 19 팬데믹이 발생하기 이전부터 급성장을 이루고 있었습니다. 보다 적은 리소스로 보다 많은 일을 할 필요성, 보다 영속적인 하이브리드 또는 올 리모트 워크 전략으로의 이동, 기업 운영과 공급망 디지털화 및 자동화 등은 모두 기업의 RPA 및 IA 분야에서 현재 및 가까운 미래의 중요 투자 분야가 될 전망입니다.

로봇 프로세스 자동화(RPA) 시장에 대해 조사했으며, 시장 현황과 예측, 지역·업계·비지니스 기능별 하이라이트 및 전망 등의 정보를 제공합니다.

목차

  • 개요
  • 시장 현황
  • 예측 결과
  • 지역 하이라이트와 전망
  • 업계 하이라이트와 전망
  • 비지니스 기능 하이라이트와 전망
  • 부록

그림, 표, 다운로드 리스트

LSH 21.09.23

Report Summary:

Catalyst

The market for robotic process automation (RPA) and intelligent automation (IA) was already on a strong growth trajectory before the COVID-19 pandemic, particularly because of IA generating quite a bit of buzz on the back of ever-advancing artificial intelligence (AI) technologies and capabilities. Despite the onslaught of challenges brought on by the pandemic, IA, in particular, remains high on the list of enterprise IT priorities because of unprecedented resource constraints. Having to do more with fewer resources, pivoting to a more permanent hybrid or all-remote working strategy, and digitizing and automating enterprise operations and supply chains have all become critical areas of enterprise RPA and IA areas of investment both now and in the near term.

Over the longer term, enterprises will continue to embrace automation and AI technologies as they nurture digital cultures and continue to adjust to the ever-evolving, ever-more digital ways of doing business. RPA and IA are well-suited to automate an ever-growing number of processes across IT, HR, sales, marketing, finance and accounting, and customer service departments to make processes such as new hire onboarding and invoicing less time consuming for employees and allow their time to be focused on higher level, business outcome-oriented tasks.

While RPA and IA are well-known for the positive financial impact they have on businesses, especially in the way of cost and time savings, they also help make IT and business workflows and operations more resilient to any forthcoming disruptions and more agile, enabling companies to pivot and act fast if and when needed. Together, these benefits lend a hand to business continuity, something at the forefront of so many conversations at this time as the pandemic persists.

Omdia view

RPA can be most easily described as software that programmatically automates the performance of routine, rules-based repetitive tasks that can be broken down into a series of steps or processes that span multiple applications or systems. Many of the tasks that are particularly good candidates for RPA are those that were once handled solely by humans, such as data entry. IA takes RPA a step further, plying AI technologies such as machine learning (ML), natural language processing (NLP), image recognition, and more such tasks and processes that are not entirely rules-based (i.e., they are highly variable and require decision making) and those that involve unstructured data such as text, images, video, and audio files can be either partially or fully automated as well.

RPA and IA are evolving to support the automation of increasingly sophisticated tasks and processes, but at the same time, they are becoming more user-friendly, for both technical and non-technical users as vendors incorporate low- and no-code options into more facets of their platforms. Omdia expects a notable uptick in enterprise RPA and IA deployments through 2026 and beyond across regions and industries as organizations of all types and sizes look to become more streamlined, strategic, and resilient to business and supply chain disruptions. Continued advancements in AI technologies, policies, and governance will significantly affect the IA space. It is increasingly important for vendors and enterprises alike to mind global, regional, industry, and company regulations and policies around AI as the technology plays an ever more prominent role in technology, business, and government even while most current laws and regulations remain outdated in terms of factoring in new technologies. Key vendors in this space include Appian, AntWorks, Automation Anywhere, Blue Prism, Datamatics, EdgeVerve, Hyland, IBM, Jacada, Kofax, Kryon Systems, Microsoft, NICE, Pegasystems, Redwood Software, SAP, UiPath, and WorkFusion. The market is fast evolving and everchanging, with niche players emerging onto the scene, large enterprise software vendors acquiring their way into the market, and business process management (BPM) and process mining vendors enhancing their own capabilities.

Key messages & Predictions

  • Automation provides organizations a layer of resilience for organizations against operational disruptions such as the COVID-19 pandemic, during which many businesses have had to alter their day-to-day internal and customer-facing operations. As a result, AI and automation are moving up the list of enterprise IT priorities.
  • Enterprises value the positive impact AI is having on the robustness of RPA solutions, driving demand for IA, which enables organizations to automate processes with variable unstructured data that require decision making (i.e., they are not entirely rules based), something RPA alone cannot do.
  • First-mover enterprises have helped pave the way for fast followers to get started with RPA and intelligent automation, generating use cases as well as helping improve vendors' portfolio developments.
  • Intelligent capabilities and features are and will continue to be targeted areas of investment for both enterprises and RPA vendors alike.
  • The RPA and IA market is poised for strong growth, with a 37% compound annual growth rate (CAGR) between 2019-26, driven by growth across all regions and all industries.
  • IA will show greater momentum than RPA as more companies advance their AI strategies and look for additional ways to save time and cost but to also promote better business outcomes. ML and NLP, in particular, provide the opportunity for enterprises to enhance their customer facing processes and capabilities, ultimately improving both the employee and customer experiences.

Table of Contents

  • Summary
  • Market context
  • Forecast results
  • Regional highlights and outlook
  • Industry highlights and outlook
  • Business function highlights and outlook
  • Appendix

List of figures, tables and downloads

  • Figure 1: Change in importance of technologies because of COVID-19
  • Figure 2: RPA and IA market size and projected growth
  • Figure 3: RPA and IA current splits and projections
  • Figure 4: RPA and IA regional splits and forecasts
  • Figure 5: RPA and IA industry splits and forecasts
  • Figure 6: RPA and IA business function splits and forecasts
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