RPA產業市場報告:2021年

在 COVID-19大流行前，機器人流程自動化(RPA)和智慧自動化(IA)的聯合市場已經處於強勁的成長軌道，並且在整個大流行期間，沒有顯示出放緩的跡象。在自然語言處理(NLP)、機器學習(ML)、智慧文檔處理(IDP)和智慧捕獲等不斷進步的人工智慧(AI)技術和功能的支持下，IA引起了相當多的關注。

本報告提供主要產業上RPA/IA的市場機會，和各種產業上主要使用案例等介紹。

目錄

概要

• Catalyst and Omdia的見解
• 關鍵訊息
• 推薦事項

市場概要

• 市場規模
• 企業的採用和推動要素
• 市場動態

產業的見解

• 能源和公共事業
• 金融業務
• 醫療保健
• 資訊技術與服務
• 公共部門-零售
• 電信，媒體，娛樂

使用案例

• 前幾名的使用案例
• 客戶案例

附錄

圖，表格，下載的清單

Report Summary:

Catalyst

The combined market for robotic process automation (RPA) and intelligent automation (IA) was already on a strong growth trajectory before the COVID-19 pandemic, and throughout the pandemic, it has shown no signs of slowing. IA is generating quite a bit of buzz on the back of ever advancing artificial intelligence (AI) technologies and capabilities, such as natural language processing (NLP), machine learning (ML), intelligent document processing (IDP), and intelligent capture.

• Enterprises are increasingly embracing RPA and IA as they nurture digital cultures and seek to automate a growing number of processes across a wider array of business functions, such as HR, IT, finance and accounting, sales, marketing, and customer service.

Omdia view

Businesses are, at their core, largely the same, each relying on core business processes and workflows, such as HR, IT, finance and accounting, sales, customer service, marketing, operations, and procurement, despite their different value propositions and places in the world.

• Nuances present themselves when looking from industry to industry. For example, the financial services and healthcare industries are both highly regulated, but have different regulations, so solutions can be slightly tailored to each meet or exceed these requirements and standards. Moreover, some industries are largely B2B, while others are predominantly B2C, which impacts how an enterprise designs its digital customer experience.

• This report highlights the market opportunities for RPA/IA within major industries and what the key use cases are within each

Key messages

• 1. Adoption is on the rise with AI at the core of intelligent automation. The AI inherent in IA brings business process and workflow automation to a broader set of processes than RPA alone. As internal and customer-facing operations are digitized, the amount of data with which businesses can act upon and make decisions with is proliferating. Being able to do more with data at speed is core to improving performance and differentiation.

• 2. A number of use cases apply to all businesses. Processes in horizontal functions, such as HR, finance, and IT, are present in companies across all industries and of all sizes. These document intensive processes are prime candidates for automation across industries and represent a significant portion of the market opportunity within each.

• 3. RPA/IA meets more nuanced, industry specific use cases Industry-specific use cases are present in each sector, providing vendors and enterprises alike the opportunity to differentiate. One example involves vendors including point integrations/platform capabilities for pervasive software systems used throughout an industry, such as Epic Systems' EHR in the US healthcare space.

Appendix:

Further reading

• Further reading Enterprise RPA & Intelligent Automation Study (June 2021)

• AI Business Performance Metrics Database - 2Q21 Analysis (June 2021)

• Enterprise AI Contracts Database - 1Q21 (June 2021)

• Market Forecast: RPA & Intelligent Automation, 2019-26 (May 2021)

• Intelligent automation proves its utility in media & entertainment (September 2020)

• IT Drivers and Technology Priorities - IT Enterprise Insights 2021 (September 2020)

• "The State of Federal RPA," version 1.0., published by the RPA Federal Community of Practice (CoP) (November 1, 2021)

Table of Contents

Summary

• Catalyst and Omdia view
• Key messages
• Recommendations

Market overview

• Market sizing
• Enterprise adoption and drivers
• Market dynamics

Industry views

• Energy & utilities
• Financial services
• Healthcare
• Information technology & services
• Public sector - Retail
• Telecom, media & entertainment

Use cases

• Top use cases
• Customer examples

Appendix

List of figures, tables and downloads

• Figure 1: What is your organization's sentiment toward RPA/IA technology?
• Figure 2: Current RPA/IA utilization and plans
• Figure 3: At what stage do you expect your organization's RPA/IA usage to be at in 2 to 3 years?
• Figure 4: RPA & IA industry market sizing and forecasts
• Figure 5: RPA & IA energy & utilities market sizing and forecast
• Figure 6: RPA & IA financial services market sizing and forecast
• Figure 7: RPA & IA healthcare market sizing and forecast
• Figure 8: RPA & IA information technology & services market sizing and forecast
• Figure 9: RPA & IA public sector market sizing and Forecast
• Figure 10: RPA & IA retail market sizing and forecast
• Figure 11: RPA & IA telecom and media & entertainment market sizing and forecast
• Figure 12: AI business performance metrics by industry, 2Q21

• Table 1: RPA/IA media & entertainment use cases
• Table 2: Select recent enterprise contracts across industries
• Table 3: Select recent enterprise contracts across industries
• Table 4: Select recent enterprise contracts across industries