文檔分析全球市场规模、份额和增长分析：按产品类型、部署类型、行业、组织规模 - 2023-2030 年行业预测

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个工作天内

价格

简介目录

全球文檔分析市场规模将从 2022 年的 16.3 亿美元增至 2030 年的 620.2 亿美元，预测期内（2023-2030 年）复合年增长率为 49.8%。人工智能和自然语言处理 (NLP) 的技术进步对市场的增长做出了重大贡献。

本报告提供了全球文檔分析市场的研究分析，提供市场动态和前景、细分分析、公司简介等。

内容

执行摘要

调查方法

母市场分析

主要市场考虑因素

技术分析
价格分析
供应链分析
价值链分析
市场生态系统
知识产权分析
贸易分析
启动分析
原材料分析
创新矩阵
管道产品分析
宏观经济指标
主要投资分析
关键成功因素
争用程度

市场动态与展望

市场动态
驱动程序
机会
制约因素
任务
监管情况
波特五力分析
对未来混乱的特殊考虑

全球文檔分析市场，按产品类型

市场概况
服务
解决方案

全球文檔分析市场：按部署类型

市场概况
云
本地

全球文檔分析市场：按行业分类

市场概况
BFSI
政府
医疗
生命科学
零售
电子商务
製造业
交通
物流
其他

全球文檔分析市场：按组织规模划分

市场概况
大公司
中小企业 (SME)

按地区划分的全球文檔分析市场规模

市场概况
北美
美国
加拿大
欧洲
德国
西班牙
法国
英国
欧洲其他地区
亚太地区
中国
印度
日本
韩国
亚太地区其他地区
拉丁美洲
巴西
其他拉丁美洲地区
中东和非洲
海湾合作委员会国家
南非
其他中东和非洲地区

竞争格局

前 5 家公司的比较
主要公司的市场定位（2021 年）
主要市场公司采用的策略
关键成功策略
最近的市场活动
主要公司的市场份额（2021 年）

主要公司简介

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.

简介目录

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).