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AI-Based Optical Character Recognition Market - Forecasts from 2025 to 2030

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    Report

  • 138 Pages
  • January 2025
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6050602
The AI-based optical character recognition market is estimated to reach US$23.456 billion by 2030 from US$11.369 billion in 2025, growing at a CAGR of 15.59%.

An artificial intelligence-based optical character recognition (OCR) tool is an advanced software solution designed to automate the extraction and recognition of various types of documents and images. This technology minimizes errors and enhances processing speed. A significant driver of growth in the global AI-based OCR market is the expanding output of the banking, financial services, and insurance (BFSI) industry. In this sector, AI-based OCR solutions improve the Know Your Customer (KYC) processes and identity verification by creating digital copies of documents, thereby enhancing the efficiency and accuracy of document verification and increasing customer satisfaction. According to reports from the UK government, the financial and insurance sector contributed approximately 8.8% or GBP 208.2 billion to the nation's GDP in 2023.

Drivers of the AI-Based Optical Character Recognition Market:

  • Increasing Usage of Smartphones: The growing adoption of smartphones globally is a key factor driving the expansion of AI-based OCR platforms. Smartphones enhance user experience with OCR technology and broaden its reach to a larger audience. The number of smartphone users has risen significantly in recent years and is expected to continue growing during the forecast period. The International Trade Administration reported that India had around 650 million smartphone users by mid-2024, with approximately 950 million internet subscribers. Additionally, GSMA's global report indicated that smartphone adoption rates were 78% in Asia Pacific, 83% in Eurasia, and 82% in Europe in 2023, with Greater China, Latin America, and North America recording rates of 84%, 80%, and 86%, respectively.

Geographical Trends Shaping the AI-Based Optical Character Recognition Market:

  • Significant Growth in North America: The AI-based OCR market in North America, particularly in the United States, is experiencing rapid growth due to advancements in artificial intelligence and a strong focus on digitizing business operations. The U.S. is witnessing increased adoption of AI technologies within OCR systems, which enables effective detection, extraction, and processing of various written documents - from handwritten notes to scanned images and printed texts. This transformation enhances workflow efficiency, accuracy, and resource allocation while reducing costs associated with manual data entry.
The demand for AI-based OCR solutions is rising as the U.S. embraces broader trends in digitization and automation. Recent product launches by leading companies have expanded capabilities within AI technologies, supported by government initiatives that foster growth in this sector. Notable developments occurred in 2023 and 2024; for example, Revvity introduced Transcribe AI - an advanced data entry system that utilizes AI-supported OCR to transcribe handwritten information on test-request forms for clinical laboratories. Furthermore, CIRM (California Institute for Regenerative Medicine) announced an investment of approximately US$89 million in various clinical programs during its April 2024 meeting. Such initiatives are expected to drive growth in the cell line development market while facilitating advancements in cell-based vaccines. In summary, the global AI-based optical character recognition market is poised for substantial growth driven by increasing smartphone usage, rising demand from the BFSI sector, technological advancements in OCR systems, and significant developments within North America that support digitization and automation efforts across industries.

Reasons for buying this report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence.

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI-based optical character recognition market has been segmented as following:

  • By Input Type
    • Image
    • Documents
    • Scanners
  • By End-Users
    • BFSI
    • Government
    • Airports
    • Healthcare
    • Retail
    • Others
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Others
    • Asia Pacific Region
      • China
      • Japan
      • India
      • South Korea
      • Australia
      • Singapore
      • Indonesia
      • Others

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key benefits for the stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. The Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. AI-BASED OPTICAL CHARACTER RECOGNITION MARKET BY INPUT TYPE
5.1. Introduction
5.2. Image
5.3. Documents
5.4. Scanners
6. AI-BASED OPTICAL CHARACTER RECOGNITION MARKET BY END-USERS
6.1. Introduction
6.2. BFSI
6.3. Government
6.4. Airports
6.5. Healthcare
6.6. Retail
6.7. Others
7. AI-BASED OPTICAL CHARACTER RECOGNITION MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. By Input Type
7.2.2. By End-Users
7.2.3. By Country
7.2.3.1. United States
7.2.3.2. Canada
7.2.3.3. Mexico
7.3. South America
7.3.1. By Input Type
7.3.2. By End-Users
7.3.3. By Country
7.3.3.1. Brazil
7.3.3.2. Argentina
7.3.3.3. Others
7.4. Europe
7.4.1. By Input Type
7.4.2. By End-Users
7.4.3. By Country
7.4.3.1. United Kingdom
7.4.3.2. France
7.4.3.3. Germany
7.4.3.4. Spain
7.4.3.5. Others
7.5. Middle East and Africa
7.5.1. By Input Type
7.5.2. By End-Users
7.5.3. By Country
7.5.3.1. Saudi Arabia
7.5.3.2. UAE
7.5.3.3. Others
7.6. Asia Pacific
7.6.1. By Input Type
7.6.2. By End-Users
7.6.3. By Country
7.6.3.1. China
7.6.3.2. Japan
7.6.3.3. India
7.6.3.4. South Korea
7.6.3.5. Australia
7.6.3.6. Singapore
7.6.3.7. Indonesia
7.6.3.8. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. NAVER Cloud Corp
9.2. IDCentral
9.3. Cognex Corporation
9.4. Klippa App BV
9.5. Qualitas Technologies
9.6. Nano Net Technologies Inc
9.7. Docsumo
9.8. AI Gen Co Ltd
9.9. Google Inc.
9.10. Eden AI
9.11. Rossum
9.12. Alphamoon
9.13. Microsoft Inc.

Companies Mentioned

  • NAVER Cloud Corp
  • IDCentral
  • Cognex Corporation
  • Klippa App BV
  • Qualitas Technologies
  • Nano Net Technologies Inc
  • Docsumo
  • AI Gen Co Ltd
  • Google Inc.
  • Eden AI
  • Rossum
  • Alphamoon
  • Microsoft Inc.

Methodology

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Table Information