首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1649525

基於人工智慧的光學字元辨識市場：預測（2025-2030）

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

出版日期: 2025年01月08日 | 出版商:

Knowledge Sourcing Intelligence | 英文 138 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

基於人工智慧的光學字元辨識市場預計將從 2025 年的 113.69 億美元成長到 2030 年的 234.56 億美元，複合年成長率為 15.59%。

基於人工智慧的光學字元辨識 (OCR) 工具是先進的軟體解決方案，旨在自動擷取和識別各種類型的文件和影像。這項技術最大限度地減少了錯誤並提高了處理速度。全球基於人工智慧的 OCR 市場的成長受到銀行、金融服務和保險 (BFSI) 行業不斷成長的電力輸出的推動。在該領域，基於人工智慧的OCR解決方案透過建立文件的數位副本來改善「了解您的客戶」（KYC）流程和身份驗證，從而提高文件驗證的效率和準確性並提高客戶滿意度。根據英國政府的報告，2023年金融和保險業對該國GDP的貢獻約為8.8%，即2,082億英鎊。

基於人工智慧的光學字元辨識市場促進因素：

智慧型手機的使用日益增多：智慧型手機在世界各地的廣泛應用是推動基於人工智慧的 OCR 平台擴展的關鍵因素。智慧型手機透過 OCR 技術改善了用戶體驗，並擴大了覆蓋範圍。近年來，智慧型手機用戶數量大幅增加，預計在預測期內仍將持續成長。根據印度國際貿易部的報告，到2024年中期，印度智慧型手機用戶數量將達到約6.5億，而網路用戶數量將達到約9.5億。此外，根據GSMA全球報告，2023年，智慧型手機普及率將為亞太地區78%、歐亞大陸83%、歐洲82%、大中華區84%、拉丁美洲80%、北美86%。

影響基於人工智慧的光學字元辨識市場的地理趨勢：

北美顯著成長：由於人工智慧的進步和對業務數位化的高度重視，北美（尤其是美國）基於人工智慧的 OCR 市場正在經歷快速成長。在美國，OCR 系統中人工智慧技術的採用正在增加，使其能夠有效地檢測、提取和處理從手寫筆記到掃描圖像和列印文字的各種文件。這種轉變提高了工作流程的效率、準確性和資源分配，同時降低了與手動資料輸入相關的成本。

隨著美國擁抱數位化和自動化的更廣泛趨勢，對基於人工智慧的 OCR 解決方案的需求正在成長。在政府鼓勵該領域發展的舉措支持下，主要企業最近產品推出正在拓展人工智慧技術的功能。例如，Revvity 宣布了 Transcribe AI。 Transcribe AI 是一種先進的資料輸入系統，它使用 AI 輔助 OCR 來轉錄臨床實驗室的手寫測試申請。此外，加州再生醫學研究所（CIRM）在2024年4月的會議上宣布將在各種臨床計畫上投資約8,900萬美元。總而言之，由於智慧型手機使用量的增加、BFSI 領域的需求不斷成長、OCR 系統的技術進步以及北美有助於數位化和全行業自動化努力的關鍵發展，全球基於人工智慧的光學字元識別市場預計將實現顯著成長。

為什麼要購買這份報告？

深刻分析：獲得深入的市場洞察，涵蓋主要地區和新興地區，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透率。
市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
可行的建議：利用洞察力做出策略決策，在動態環境中開闢新的業務流和收益。
受眾廣泛：對於新興企業、研究機構、顧問公司、中小企業和大型企業都有益且具有成本效益。

它有什麼用途？

產業與市場分析、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

研究範圍

2022 年至 2030 年的實際資料和預測
成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
競爭定位、策略與市場佔有率分析
細分和區域分析，包括收益成長和預測國家
公司概況（策略、產品、財務、主要發展等）

基於人工智慧的光學字元辨識市場細分如下：

按輸入類型

影像
文件
掃描器

按最終用戶

BFSI
政府
飛機場
衛生保健
零售
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
英國
德國
法國
西班牙
其他
中東和非洲
沙烏地阿拉伯
UAE
其他
亞太地區
中國
日本
印度
韓國
澳洲
新加坡
印尼
其他

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

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