文檔分析全球市場規模、份額和增長分析：按產品類型、部署類型、行業、組織規模 - 2023-2030 年行業預測

Global Document Analytics Market Size, Share, Growth Analysis, By Product type, By Deployment type, By Industrial Vertical, By Organization size - Industry Forecast 2023-2030

出版日期: 2023年04月02日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

全球文檔分析市場規模將從 2022 年的 16.3 億美元增至 2030 年的 620.2 億美元，預測期內（2023-2030 年）複合年增長率為 49.8%。人工智能和自然語言處理 (NLP) 的技術進步對市場的增長做出了重大貢獻。

本報告提供了全球文檔分析市場的研究分析，提供市場動態和前景、細分分析、公司簡介等。

內容

執行摘要

調查方法

母市場分析

主要市場考慮因素

技術分析
價格分析
供應鏈分析
價值鏈分析
市場生態系統
知識產權分析
貿易分析
啟動分析
原材料分析
創新矩陣
管道產品分析
宏觀經濟指標
主要投資分析
關鍵成功因素
爭用程度

市場動態與展望

市場動態
驅動程序
機會
制約因素
任務
監管情況
波特五力分析
對未來混亂的特殊考慮

全球文檔分析市場，按產品類型

市場概況
服務
解決方案

全球文檔分析市場：按部署類型

市場概況
雲
本地

全球文檔分析市場：按行業分類

市場概況
BFSI
政府
醫療
生命科學
零售
電子商務
製造業
交通
物流
其他

全球文檔分析市場：按組織規模劃分

市場概況
大公司
中小企業 (SME)

按地區劃分的全球文檔分析市場規模

市場概況
北美
美國
加拿大
歐洲
德國
西班牙
法國
英國
歐洲其他地區
亞太地區
中國
印度
日本
韓國
亞太地區其他地區
拉丁美洲
巴西
其他拉丁美洲地區
中東和非洲
海灣合作委員會國家
南非
其他中東和非洲地區

競爭格局

前 5 家公司的比較
主要公司的市場定位（2021 年）
主要市場公司採用的策略
關鍵成功策略
最近的市場活動
主要公司的市場份額（2021 年）

主要公司簡介

IBM Corporation
ABBYY
OpenText Corporation
Kofax, Inc.
Adobe Systems, Inc.
SAP SE
Lexmark International, Inc.
HP Inc.
WorkFusion
Hyland Software, Inc.
SAS Institute Inc.
Canon Inc.
Microsoft Corporation
Google LLC
TIBCO Software Inc.
Icertis, Inc.
M-Files Corporation
Box, Inc.
DocuSign, Inc.
Dropbox, Inc.

簡介目錄

Product Code: SQSG45E2056

Document Analytics Market size was valued at USD 1.09 billion in 2021 and is poised to grow from USD 1.63 billion in 2022 to USD 62.02 billion by 2030, growing at a CAGR of 49.8% in the forecast period (2023-2030).

The global document analytics market refers to the industry that provides solutions and services for extracting valuable insights and information from unstructured documents. Document analytics involves the use of technologies such as natural language processing (NLP), machine learning, and artificial intelligence (AI) to analyze and interpret textual data from various document formats such as PDFs, Word documents, emails, and images. It enables organizations to automate data extraction, improve document management, and gain actionable insights from large volumes of unstructured data.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Air Document Analytics 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 Document Analytics Market is segmented based on Product Type, Deployment type, Industry Vertical, Organization Site, and region. Based on Deployment Type, the market is segmented Services and Solutions. Based on Deployment type, the market is segmented into Cloud and on-premise. Based on Industry Vertical, the market is categorized into BFSI, Government, Healthcare and Life Sciences, Retail and eCommerce, Manufacturing, Transportation and Logistics, and Others. Based on Organization Site, the market is segmented into Large Enterprises and Small and Medium-sized Enterprises (SMEs). By region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and MEA.

Driver

Document analytics helps organizations streamline their operations by automating manual document processing tasks. By automating data extraction, classification, and analysis, organizations can improve operational efficiency, reduce errors, and save time and resources. The advancements in AI and NLP technologies have significantly contributed to the growth of the document analytics market. These technologies enable intelligent document processing, semantic analysis, and sentiment analysis, allowing organizations to derive deeper insights from their documents and enhance decision-making processes.

Restraint

The analysis of sensitive documents raises data privacy and security concerns. Organizations need to ensure that proper security measures are in place to protect confidential information during document analytics processes. Concerns about data breaches and compliance with data protection regulations can restrain the market growth.

Market Trends

Intelligent document processing combines OCR (Optical Character Recognition) technology, AI, and NLP to automate document classification, data extraction, and validation processes. This trend aims to improve accuracy, efficiency, and scalability in document analytics workflows. With the increasing emphasis on data privacy regulations and compliance standards, document analytics solutions are evolving to meet these requirements. The integration of features like redaction, anonymization, and audit trails ensures compliance with regulations such as GDPR (General Data Protection Regulation).