查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1649525

基于人工智慧的光学字元辨识市场：预测（2025-2030）

AI-Based Optical Character Recognition Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 138 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

基于人工智慧的光学字元辨识市场预计将从 2025 年的 113.69 亿美元成长到 2030 年的 234.56 亿美元，复合年增长率为 15.59%。

基于人工智慧的光学字元辨识 (OCR) 工具是先进的软体解决方案，旨在自动撷取和识别各种类型的文件和影像。这项技术最大限度地减少了错误并提高了处理速度。全球基于人工智慧的 OCR 市场的成长受到银行、金融服务和保险 (BFSI) 行业不断增长的电力输出的推动。在该领域，基于人工智慧的OCR解决方案透过建立文件的数位副本来改善「了解您的客户」（KYC）流程和身份验证，从而提高文件验证的效率和准确性并提高客户满意度。根据英国政府的报告，2023年金融和保险业对该国GDP的贡献约为8.8%，即2,082亿英镑。

基于人工智慧的光学字元辨识市场驱动因素：

  • 智慧型手机的使用日益增多：智慧型手机在世界各地的广泛应用是推动基于人工智慧的 OCR 平台扩展的关键因素。智慧型手机透过 OCR 技术改善了用户体验，并扩大了覆盖范围。近年来，智慧型手机用户数量大幅增加，预计在预测期内仍将持续成长。根据印度国际贸易部的报告，到2024年中期，印度智慧型手机用户数量将达到约6.5亿，而网路用户数量将达到约9.5亿。此外，根据GSMA全球报告，2023年，智慧型手机普及率将为亚太地区78%、欧亚大陆83%、欧洲82%、大中华区84%、拉丁美洲80%、北美86%。

影响基于人工智慧的光学字元辨识市场的地理趋势：

  • 北美显着成长：由于人工智慧的进步和对业务数位化的高度重视，北美（尤其是美国）基于人工智慧的 OCR 市场正在经历快速成长。在美国，OCR 系统中人工智慧技术的采用正在增加，使其能够有效地检测、提取和处理从手写笔记到扫描图像和列印文字的各种文件。这种转变提高了工作流程的效率、准确性和资源分配，同时降低了与手动资料输入相关的成本。

随着美国拥抱数位化和自动化的更广泛趋势，对基于人工智慧的 OCR 解决方案的需求正在增长。在政府鼓励该领域发展的倡议支持下，主要企业最近产品推出正在拓展人工智慧技术的功能。例如，Revvity 宣布了 Transcribe AI。 Transcribe AI 是一种先进的资料输入系统，它使用 AI 辅助 OCR 来转录临床实验室的手写测试申请。此外，加州再生医学研究所（CIRM）在2024年4月的会议上宣布将在各种临床计画上投资约8,900万美元。总而言之，由于智慧型手机使用量的增加、BFSI 领域的需求不断增长、OCR 系统的技术进步以及北美有助于数位化和全行业自动化努力的关键发展，全球基于人工智慧的光学字元识别市场预计将实现显着增长。

为什么要购买这份报告？

  • 深刻分析：获得深入的市场洞察，涵盖主要地区和新兴地区，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透率。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中开闢新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问公司、中小企业和大型企业都有益且具有成本效益。

它有什么用途？

产业与市场分析、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022 年至 2030 年的实际资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略与市场占有率分析
  • 细分和区域分析，包括收益成长和预测国家
  • 公司概况（策略、产品、财务、主要发展等）

基于人工智慧的光学字元辨识市场细分如下：

按输入类型

  • 影像
  • 文件
  • 扫描器

按最终用户

  • BFSI
  • 政府
  • 飞机场
  • 卫生保健
  • 零售
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 澳洲
  • 新加坡
  • 印尼
  • 其他的

目录

第 1 章 简介

  • 市场概况
  • 市场定义
  • 研究范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 研究过程

第三章执行摘要

  • 主要发现

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

5. 基于人工智慧的光学字元辨识市场（按输入类型）

  • 介绍
  • 影像
  • 文件
  • 扫描器

第六章 基于人工智慧的光学字元辨识市场（按最终用户划分）

  • 介绍
  • BFSI
  • 政府
  • 飞机场
  • 卫生保健
  • 零售
  • 其他的

7. 人工智慧光学字元辨识市场（按地区）

  • 介绍
  • 北美洲
    • 按输入类型
    • 按最终用户
    • 按国家
  • 南美洲
    • 按输入类型
    • 按最终用户
    • 按国家
  • 欧洲
    • 按输入类型
    • 按最终用户
    • 按国家
  • 中东和非洲
    • 按输入类型
    • 按最终用户
    • 按国家
  • 亚太地区
    • 按输入类型
    • 按最终用户
    • 按国家

第八章 竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第九章 公司简介

  • 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.
简介目录
Product Code: KSI061614868

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.