Robotic Process Automation Market Research Report
Report Scope:
The report provides an overview of the global RPA market and analyzes market trends. Using 2021 as the base year, the report provides market data for the forecast period 2022 through 2027 by making estimates with values derived from total revenues of prominent players. Revenue forecasts for this period are segmented based on solution, deployment, size of enterprise, industry and geography.
The report also identifies the major players in the RPA market, explains the major market drivers and current trends, and explores the competitive landscape. The report concludes with profiles of the major players in the global market.
Report Includes:
43 data tables and 30 additional tables
An up-to-date overview of the global market for robotic process automation (RPA) technology, and company competitive information of the top ten companies in RPA market scenario
Analyses of the global market trends, with historic market revenue for 2021, estimates for 2022, market forecasts for 2023 and 2025, and projections of compound annual growth rates (CAGRs) through 2027
Estimation of the actual market size for global robotic process automation in USD million values, market forecast, and corresponding market share analysis based on solution, deployment type, size of enterprise, end-use industry, and geographic region
Review of the promising new RPA tools and technologies still in the development, and their implementation with the greatest commercial potential during the forecast period (2022 to 2027)
Detailed understanding of the key market trends, drivers and restraints that will shape the market for RPA tools and technologies as the basis for projecting demand over the next five years
Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
Review of the patents issued on robotic process automation technology across each major category, and emerging new developments in the global RPA market
Updated information on recent mergers and acquisitions, partnerships, collaborations, and new product launches in the market for robotic process automation during 2019-2022
Descriptive company profiles of the leading global players, including Appian Corp., Blue Prism Group Plc, CGI Inc., Datamatics Global Services Ltd., NTT Advanced Technology Corp., Nice Robotic Automation, and UiPath Inc.THERMO FISHER SCIENTIFIC
Summary:
Organizations worldwide are realizing that RPA is capable of transforming their backend operations and procedures in an entirely new way with digital technology. It is a novel approach to automating corporate operations and procedures. It enables businesses to use software-driven robots, or bots, to automate routine, predetermined activities. It minimizes the human labor required for tiresome, repetitive jobs so that employees can concentrate on more important and more meaningful work.
RPA is a software technology that enables the creation, deployment and management of software robots that mimic human actions while dealing with digital systems and software. Software robots, like humans, can grasp what’s on a screen, complete the correct keystrokes, navigate systems, discover and retrieve data, and perform a variety of defined operations. However, software robots can perform such tasks faster and more reliably than humans, without the need to take breaks.
Through RPA, chatbots and other forms of digital assistants, intelligent bots are proliferating throughout the data ecosystem. The range of jobs that these bots are capable of performing is growing. Many knowledge workers consider chatbots to be an outdated, template-based version of what bots can perform in light of the popularity of digital assistants like Siri and Alexa in both personal and professional contexts. Nevertheless, the number of uses for these linguistically skilled bots is growing, and now includes both internal and external processes.
RPA software solutions can be installed without having to make changes to the current system, saving time and money on the installation process. Due to the significant cost and overall impact of rethinking their legacy, poorly linked IT infrastructure, many system-intensive organizations are unable to optimize their operations. RPA solves this problem by acting as a human worker who builds a communication link between various IT systems. However, the risk of data security escalates when a company allows access to RPA for enterprise data over the cloud. A bot’s poor design that unintentionally exposes sensitive data might have serious consequences.
Moreover, within these organizations, RPA can be used in multiple ways and across multiple processes. One new aspect of this is that the RPA solutions will also focus on external, customer-oriented processes in addition to internal processes. For instance, the classification of incoming email is one such area where smart robots are expected to offer huge productivity gains.
Intelligent process automation (IPA), a bridge between RPA and AI, primarily leverages machine learning (ML) and natural language processing (NLP) to tackle difficult business challenges and automate current manual processes with much higher accuracy and efficiency. By eliminating or moving monotonous and laborious tasks, these new advancements have enabled organizations to become even more profitable.
Reasons to Purchase Our Research Report:
Analyzing the outlook of the market with the recent trends and SWOT analysis
Market dynamics scenario, along with growth opportunities of the market in the years to come
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
Regional and country-level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
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Table of content
Chapter 1 Introduction
1.1 Overview
1.2 Study Goals and Objectives
1.3 Scope of Report
1.4 Whats New in this Update?
1.5 Reasons for Doing this Study
1.6 Intended Audience
1.7 Information Sources
1.8 Methodology
1.9 Geographic Breakdown
1.10 Analysts Credentials
1.11 BCC Custom Research
1.12 Related BCC Research Reports
Chapter 2 Summary and Highlights
Chapter 3 Market Overview and Technology Background
3.1 Overview
3.2 RPA Checklist
3.3 Market Dynamics
3.3.1 Market Drivers
3.3.2 Market Restraints
3.3.3 Market Opportunities
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