The Latin America, Middle East and Africa Image Recognition Market would witness market growth of 18.9% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Image Recognition Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$3.33 billion by 2031. The Argentina market is showcasing a CAGR of 19.8% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 18.5% during (2024 - 2031).
The field of image recognition has a wide variety of applications in the real world. In the retail sector, this technology is used to improve client experiences, manage inventory, and streamline the checkout process by utilizing augmented reality applications. The automotive industry is crucial in developing autonomous driving systems, helping vehicles identify and respond to objects, road signs, and pedestrians. Security is another area where this recognition has become indispensable, from monitoring public spaces to authenticating users based on facial recognition.
Image recognition technologies have also been highly advantageous to the healthcare sector. Advanced algorithms can now diagnose diseases from medical imaging with accuracy that rivals or exceeds human experts. These instruments are employed to identify a wide range of conditions, including fractures and tumors in X-rays and the early detection of diseases such as diabetic retinopathy and cancer in scans.
In the same vein, Saudi Arabia is constructing numerous smart cities, such as NEOM, Red Sea, Qiddiya, Waad Alshamal, and SPARK, with the objective of becoming the most connected and digitized nation in the world by 2030. Saudi Arabia's IoT sector is anticipated to reach $2.9 billion by 2025, as per the International Data Corporation (IDC).
As these technologies are implemented, Saudi Arabia must develop robust regulatory frameworks to manage the ethical and privacy concerns associated with these technologies, especially those related to surveillance and personal data handling. The establishment of explicit regulations will be essential for the responsible use of technology and the preservation of public trust. Therefore, the growth of the region's telecom, IT, and associated industries will lead to a higher demand for this technology.
Based on Deployment Mode, the market is segmented into Cloud, and On-Premise. Based on Vertical, the market is segmented into BFSI, Media & Entertainment, Retail & Consumer Goods, Telecom & IT, Government, Healthcare, Transportation & Logistics, and Others. Based on Component, the market is segmented into Hardware, Software, and Services (Professional Services, and Managed Services).
Based on Professional Services Type, the market is segmented into Implementation, Consulting & Training, and Support & Maintenance. Based on Application, the market is segmented into Scanning & Imaging, Security & Surveillance, Image Search, Marketing & Advertising, and Others. Based on Technology, the market is segmented into Code Recognition, Digital Image Processing, Facial Recognition, Object Recognition, Pattern Recognition, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The Brazil market dominated the LAMEA Image Recognition Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$3.33 billion by 2031. The Argentina market is showcasing a CAGR of 19.8% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 18.5% during (2024 - 2031).
The field of image recognition has a wide variety of applications in the real world. In the retail sector, this technology is used to improve client experiences, manage inventory, and streamline the checkout process by utilizing augmented reality applications. The automotive industry is crucial in developing autonomous driving systems, helping vehicles identify and respond to objects, road signs, and pedestrians. Security is another area where this recognition has become indispensable, from monitoring public spaces to authenticating users based on facial recognition.
Image recognition technologies have also been highly advantageous to the healthcare sector. Advanced algorithms can now diagnose diseases from medical imaging with accuracy that rivals or exceeds human experts. These instruments are employed to identify a wide range of conditions, including fractures and tumors in X-rays and the early detection of diseases such as diabetic retinopathy and cancer in scans.
In the same vein, Saudi Arabia is constructing numerous smart cities, such as NEOM, Red Sea, Qiddiya, Waad Alshamal, and SPARK, with the objective of becoming the most connected and digitized nation in the world by 2030. Saudi Arabia's IoT sector is anticipated to reach $2.9 billion by 2025, as per the International Data Corporation (IDC).
As these technologies are implemented, Saudi Arabia must develop robust regulatory frameworks to manage the ethical and privacy concerns associated with these technologies, especially those related to surveillance and personal data handling. The establishment of explicit regulations will be essential for the responsible use of technology and the preservation of public trust. Therefore, the growth of the region's telecom, IT, and associated industries will lead to a higher demand for this technology.
Based on Deployment Mode, the market is segmented into Cloud, and On-Premise. Based on Vertical, the market is segmented into BFSI, Media & Entertainment, Retail & Consumer Goods, Telecom & IT, Government, Healthcare, Transportation & Logistics, and Others. Based on Component, the market is segmented into Hardware, Software, and Services (Professional Services, and Managed Services).
Based on Professional Services Type, the market is segmented into Implementation, Consulting & Training, and Support & Maintenance. Based on Application, the market is segmented into Scanning & Imaging, Security & Surveillance, Image Search, Marketing & Advertising, and Others. Based on Technology, the market is segmented into Code Recognition, Digital Image Processing, Facial Recognition, Object Recognition, Pattern Recognition, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
- Hitachi, Ltd.
- Microsoft Corporation
- NEC Corporation
- Thales Group S.A.
- 3M Company
- Cognitec Systems GmbH (Salto Systems, S.L.)
- IBM Corporation
- Onfido Limited (Entrust Corporation)
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Google LLC (Alphabet Inc.)
Market Report Segmentation
By Deployment Mode- Cloud
- On-Premise
- BFSI
- Media & Entertainment
- Retail & Consumer Goods
- Telecom & IT
- Government
- Healthcare
- Transportation & Logistics
- Others
- Hardware
- Software
- Services
- Professional Services
- Implementation
- Consulting & Training
- Support & Maintenance
- Managed Services
- Scanning & Imaging
- Security & Surveillance
- Image Search
- Marketing & Advertising
- Others
- Code Recognition
- Digital Image Processing
- Facial Recognition
- Object Recognition
- Pattern Recognition
- Others
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA Image Recognition Market by Deployment Mode
Chapter 6. LAMEA Image Recognition Market by Vertical
Chapter 7. LAMEA Image Recognition Market by Component
Chapter 8. LAMEA Image Recognition Market by Application
Chapter 9. LAMEA Image Recognition Market by Technology
Chapter 10. LAMEA Image Recognition Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Hitachi, Ltd.
- Microsoft Corporation
- NEC Corporation
- Thales Group S.A.
- 3M Company
- Cognitec Systems GmbH (Salto Systems, S.L.)
- IBM Corporation
- Onfido Limited (Entrust Corporation)
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Google LLC (Alphabet Inc.)
Methodology
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