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Optical Character Recognition In Indonesia

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    Report

  • 47 Pages
  • May 2025
  • Region: Indonesia
  • GlobalData
  • ID: 6145335
Optical Character Recognition in Indonesia industry profile provides top-line qualitative and quantitative summary information including: market share, market size (value and volume 2019-24, and forecast to 2029). The profile also contains descriptions of the leading players including key financial metrics and analysis of competitive pressures within the market.

Key Highlights

  • Optical character recognition (OCR) is the process of electronically converting printed or handwritten text into machine-readable text that can be edited and searched electronically. OCR software analyses the shapes and patterns of characters in an image and converts them into ASCII (American Standard Code for Information Interchange) codes or Unicode characters. The OCR technology can be used to convert printed or written documents into a digital format, allowing for easy editing, storing, and sharing of the content. OCR technology is commonly used in various applications, such as digitizing books, converting paper documents into electronic format, recognizing license plate numbers, and processing forms and invoices.
  • The Indonesian optical character recognition market recorded revenues of $99.0 million in 2024, representing a compound annual growth rate (CAGR) of 13.9% between 2019 and 2024.
  • The software segment accounted for the market's largest proportion in 2024, with total revenues of $78.3 million, equivalent to 79.1% of the market's overall value.
  • The growth of the Indonesian OCR market is significantly driven by the rising cost of the workforce, which has incentivized organizations to adopt OCR systems as a cost-effective alternative to traditional, labor-intensive methods. According to the Organization for Economic Co-operation and Development (OECD), in 2024, the labor cost index in Indonesia reached 157.5, up 3.4% annually.

Scope

  • Save time carrying out entry-level research by identifying the size, growth, major segments, and leading players in the optical character recognition market in Indonesia
  • Use the Five Forces analysis to determine the competitive intensity and therefore attractiveness of the optical character recognition market in Indonesia
  • Leading company profiles reveal details of key optical character recognition market players’ global operations and financial performance
  • Add weight to presentations and pitches by understanding the future growth prospects of the Indonesia optical character recognition market with five year forecasts by both value and volume

Reasons to Buy

  • What was the size of the Indonesia optical character recognition market by value in 2024?
  • What will be the size of the Indonesia optical character recognition market in 2029?
  • What factors are affecting the strength of competition in the Indonesia optical character recognition market?
  • How has the market performed over the last five years?
  • Who are the top competitors in Indonesia's optical character recognition market?

Table of Contents

1 Executive Summary
1.1. Market value
1.2. Market value forecast
1.3. Category segmentation
1.4. Geography segmentation
1.5. Market rivalry
1.6. Competitive landscape
2 Market Overview
2.1. Market definition
2.2. Market analysis
3 Market Data
3.1. Market value
4 Market Segmentation
4.1. Category segmentation
4.2. Geography segmentation
5 Market Outlook
5.1. Market value forecast
6 Five Forces Analysis
6.1. Summary
6.2. Buyer power
6.3. Supplier power
6.4. New entrants
6.5. Threat of substitutes
6.6. Degree of rivalry
7 Competitive Landscape
7.1. Who are the leading players?
7.2. What strategies do the leading players follow?
7.3. What are the most recent developments in the market?
8 Company Profiles
8.1. Microsoft Corp
8.2. Google LLC
8.3. NTT DATA Group Corp
8.4. PT Verihubs Inteligensia Nusantara
8.5. Fintelite AI
9 Macroeconomic Indicators
9.1. Country data
10 Appendix
10.1. Methodology
10.2. Industry associations
10.3. Related the analyst research
10.4. About the Analyst
List of Tables
Table 1: Indonesia optical character recognition market value: $ million, 2019-24
Table 2: Indonesia optical character recognition market category segmentation: % share, by value, 2019-24
Table 3: Indonesia optical character recognition market category segmentation: $ million, 2019-24
Table 4: Indonesia optical character recognition market geography segmentation: $ million, 2024
Table 5: Indonesia optical character recognition market value forecast: $ million, 2024-29
Table 6: Microsoft Corp: Key Facts
Table 7: Microsoft Corp: annual financial ratios
Table 8: Microsoft Corp: key employees
Table 9: Microsoft Corp: key employees Continued
Table 10: Google LLC: Key Facts
Table 11: Google LLC: key employees
Table 12: Google LLC: key employees Continued
Table 13: NTT DATA Group Corp: Key Facts
Table 14: NTT DATA Group Corp: annual financial ratios
Table 15: NTT DATA Group Corp: key employees
Table 16: NTT DATA Group Corp: key employees Continued
Table 17: NTT DATA Group Corp: key employees Continued
Table 18: PT Verihubs Inteligensia Nusantara: Key Facts
Table 19: Fintelite AI: Key Facts
Table 20: Indonesia Size of Population (Million), 2020-24
Table 21: Indonesia Real GDP (Constant 2010 Prices, $ Billion), 2020-24
Table 22: Indonesia GDP (Current Prices, $ Billion), 2020-24
Table 23: Indonesia Inflation, 2020-24
Table 24: Indonesia Consumer Price Index (Absolute), 2020-24
Table 25: Indonesia Exchange Rate, 2019-24
List of Figures
Figure 1: Indonesia optical character recognition market value: $ million, 2019-24
Figure 2: Indonesia optical character recognition market category segmentation: $ million, 2019-24
Figure 3: Indonesia optical character recognition market geography segmentation: % share, by value, 2024
Figure 4: Indonesia optical character recognition market value forecast: $ million, 2024-29
Figure 5: Forces driving competition in the optical character recognition market in Indonesia, 2024
Figure 6: Drivers of buyer power in the optical character recognition market in Indonesia, 2024
Figure 7: Drivers of supplier power in the optical character recognition market in Indonesia, 2024
Figure 8: Factors influencing the likelihood of new entrants in the optical character recognition market in Indonesia, 2024
Figure 9: Factors influencing the threat of substitutes in the optical character recognition market in Indonesia, 2024
Figure 10: Drivers of degree of rivalry in the optical character recognition market in Indonesia, 2024

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Microsoft Corp
  • Google LLC
  • NTT DATA Group Corp
  • PT Verihubs Inteligensia Nusantara
  • Fintelite AI