The document analytics global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Document Analytics Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The document analytics market size has grown exponentially in recent years. It will grow from $2.38 billion in 2023 to $3.55 billion in 2024 at a compound annual growth rate (CAGR) of 49.1%. The growth in the historic period can be attributed to shift to digital transformation, increased demand for compliance and regulatory adherence, need for operational efficiency, focus on customer experience and insights,industry-specific solutions..
The document analytics market size is expected to see exponential growth in the next few years. It will grow to $17.45 billion in 2028 at a compound annual growth rate (CAGR) of 48.9%. The growth in the forecast period can be attributed to increasing demand for predictive analytics from documents, emergence of hybrid models, evolving user experience and collaboration tools, rise in demand for workflow automation, focus on contextual understanding.. Major trends in the forecast period include advanced natural language processing (nlp), ai-powered document processing, enhanced optical character recognition (ocr), focus on data security and privacy, integration with workflow automation..
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Scope Of Document Analytics Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Market Drivers –
Rising initiatives to digitize content is the significant factor driving the growth of the document analytics market. Various governments are taking steps to digitalize the contents to enhance the security and easy access of the documents, this will increase the usage of document analytics. For instance, in August 2021, the Internal Revenue Service (IRS) of the United States has awarded five $7.5 million contracts using an experimental procurement vehicle in support of a multiple solution competition to digitize paper files. The IRS intended to use the pilot IRS program to test innovative solutions capable of receiving, preparing, reproducing, sorting, storing, validating, returning, and transferring digital files of IRS documents and records to build programs that help the scanning of paper files and the extraction of machine-readable data. The various initiatives to digitalize content will invariably increase the demand for document analytics technologies and services. Hence, the rising initiatives to digitize content is expected to propel the document analytics market growth.
Market Trends –
Product innovations have emerged as the key trend gaining popularity in the 5G chipset market. The major players in the market are developing innovative products for market growth. For instance, in June 2021, Samsung Electronics, a South Korea-based electronics company, developed 3GPP Rel.16 compliant chipsets, a range of next-generation 5G chipsets that deliver cutting-edge 5G technologies. The new chipsets consist of a second-generation 5G modem System-on-Chip (SoC), a third-generation mmWave Radio Frequency Integrated Circuit (RFIC) chip, and a Digital Front End (DFE)-RFIC integrated chip. These are designed to increase power efficiency, boost performance, and reduce the size of 5G solutions.
The document analytics market covered in this report is segmented –
1) By Product Type: Solutions, Services, Professional Services, Managed Services
2) By Industry Vertical: BFSI, Government, Healthcare And Life Sciences, Retail And eCommerce, Manufacturing, Transportation And Logistics, Other Industry Verticals
3) By Deployment Type: Cloud, On-Premise
4) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
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Regional Insights –
North America was the largest region in the document analytics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the document analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Key Companies –
Major companies operating in the document analytics market report are ABBYY Group, Celaton Limited, Extract Systems LLC, HCL Technologies Limited, HyperScience Inc., Automation Anywhere Inc., International Business Machines Corporation, OpenText Corporation, Adobe Inc., SAP SE, Microsoft Corporation, Kapow Software Inc., Guavus Inc., Dexlock Technologies Private Limited, AntWorks Pte. Ltd., WorkFusion Inc., Infrrd Inc., Datamatics Global Services Limited, Kodak Alaris Inc., Hyland Software Inc., Parascript LLC, M-Files Corporation, Ephesoft Inc., Rossum Corporation, Nanonets Inc., Zoho Corporation Pvt. Ltd., UiPath Inc., Datafleck Ltd., DocuSign Inc., Cognite AS
Table of Contents
1. Executive Summary
2. Document Analytics Market Report Structure
3. Document Analytics Market Trends And Strategies
4. Document Analytics Market – Macro Economic Scenario
5. Document Analytics Market Size And Growth
…..
27. Document Analytics Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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