智慧型流程自動化的全球市場 - 市場規模，佔有率，成長分析:各零件，各技術，各類服務，各業界 - 產業預測(2022年～2028年)

Global Intelligent Process Automation Market Size, Share, Growth Analysis, By Component(Solutions, services), By Technology(NLP, Virtual Agents), By Service(Consulting, Design), By Vertical(BFSI, healthcare) - Industry Forecast 2022-2028

出版日期: 2023年04月24日 | 出版商:

SkyQuest | 英文 165 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

全球智慧型流程自動化的市場規模在2021年估算為119億5,000萬美金。該市場在預測期間(2023年～2030年)時預計將以13.8％的年複合成長率擴大，從2022年的136億美元成長到2030年435億3,000萬美元。

本報告提供全球智慧型流程自動化市場相關調查，提供市場概要，以及各零件，各技術，各類服務，各業界，各地區的趨勢，及加入此市場的主要企業簡介等資訊。

The global Intelligent Process Automation (IPA) market refers to the use of software tools and technologies, such as artificial intelligence and machine learning, to automate repetitive tasks and processes in various industries. IPA aims to streamline operations and increase efficiency, allowing businesses to reduce costs and improve productivity. The market is expected to experience significant growth due to increasing adoption of automation technologies, and the need for businesses to stay competitive in a rapidly changing digital landscape.

Top-down and bottom-up approaches were used to estimate and validate the size of Intelligent Process Automation market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Segments covered in this report

Global Intelligent Process Automation Market is segmented based on Component, Technology, Service, Vertical, and Region. Based on Component the market is further sub segmented into Solution, Service. Based on Technology the market is further sub-segmented intoML, NLP, Virtual Agents. Based on Service the market is further sub segmented into consulting, design and implementation, and training and support. Based on Vertical, the market is segregated into BFSI, healthcare, retail, IT and telecom, manufacturing, and others. Based on Region, the market is further sub-segments into North America, Europe, Asia Pacific, Latin America, and MEA .

Driver

The use of RPA technology allows businesses to automate manual data entry tasks, leading to the elimination of the need for human labor. AI, with the assistance of neural networks, can self-learn from input data, analyze past data models, and make intelligent decisions, resulting in an IPA workflow that combines RPA, ML, AI, and cognitive learning. As the usage of RPA increases, so does the need for IPA. Robots replicate human behavior in automating labor-intensive manual processes, such as data entry, providing speed and efficiency. In addition, AI adds significant intelligence and judgment to evaluate data in ways that humans cannot, recognize patterns, and learn from previous decisions, making increasingly informed conclusions. IPA reduces the need for human involvement in data entry, information validation, and document sorting, ultimately reducing the time required for the underwriting stage.

Restrain

However, having a skilled workforce is crucial to operate a newly automated operational model effectively. Identifying individuals who possess expertise in RPA and AI requires technical proficiency, knowledge of the organization's business processes, and the ability to adapt management techniques. In addition to hiring or upskilling individuals to build automation, it is equally important to assign people to continuous maintenance, support, and troubleshooting. According to McKinsey, there is a shortage of skilled labor, with around 25% in the US, 27% in Europe, and 31% in Asia for implementing IPA solutions.

Trend

Intelligent Process Automation (IPA) is a cutting-edge technology application that integrates artificial intelligence and emerging technologies, such as cognitive automation, machine learning, and computer vision, to manage high-volume and repetitive tasks. Its software is designed to eliminate repetitive and routine tasks, streamlining corporate processes, resulting in improved customer satisfaction through faster turnaround times and more efficient interactions.

Executive Summary

Market overview

Exhibit: Executive Summary - Chart on Market Overview
Exhibit: Executive Summary - Data Table on Market Overview
Exhibit: Executive Summary - Chart on Global Global Intelligent Process Automation Market Characteristics
Exhibit: Executive Summary - Chart on Market by Geography
Exhibit: Executive Summary - Chart on Market Segmentation
Exhibit: Executive Summary - Chart on Incremental Growth
Exhibit: Executive Summary - Data Table on Incremental Growth
Exhibit: Executive Summary - Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

Market Dynamics
Exhibit: Impact analysis of DROC, 2021
Drivers
Opportunities
Restraints
Challenges
SWOT Analysis

KEY MARKET INSIGHTS

Technology Analysis
(Exhibit: Data Table: Name of technology and details)
Pricing Analysis
(Exhibit: Data Table: Name of technology and pricing details)
Supply Chain Analysis
(Exhibit: Detailed Supply Chain Presentation)
Value Chain Analysis
(Exhibit: Detailed Value Chain Presentation)
Ecosystem Of the Market
Exhibit: Parent Market Ecosystem Market Analysis
Exhibit: Market Characteristics of Parent Market
IP Analysis
(Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
Trade Analysis
(Exhibit: Data Table: Import and Export data details)
Startup Analysis
(Exhibit: Data Table: Emerging startups details)
Raw Material Analysis
(Exhibit: Data Table: Mapping of key raw materials)
Innovation Matrix
(Exhibit: Positioning Matrix: Mapping of new and existing technologies)
Pipeline product Analysis
(Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
Macroeconomic Indicators

COVID IMPACT

Introduction
Impact On Economy-scenario Assessment
Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
Revised Market Size
Exhibit: Data Table on Global Global Intelligent Process Automation Market size and forecast 2021-2027 ($ million)
Impact Of COVID On Key Segments
Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
COVID Strategies By Company
Exhibit: Analysis on key strategies adopted by companies