The Asia Pacific Image Recognition Market would witness market growth of 17.2% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific Image Recognition Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$11.51 billion by 2031. The Japan market is registering a CAGR of 16.6% during (2024 - 2031). Additionally, The India market would showcase a CAGR of 18% during (2024 - 2031).
In smart devices and IoT, this recognition plays a crucial role by enhancing capabilities such as security and surveillance. IoT technologies, especially with edge computing and artificial intelligence, allow for sophisticated monitoring systems. These systems can identify and track objects and individuals, enhancing security protocols and providing real-time alerts.
Moreover, the availability of more powerful computing resources at lower costs, such as cloud computing platforms and specialized processing hardware like GPUs, has democratized access to advanced recognition capabilities. Small startups and large enterprises alike can now deploy sophisticated recognition technologies without significant upfront investment in hardware, making these tools more accessible than ever before.
In South Korea, the increasing demand for this technology is attributed to the expansion of the retail, consumer goods, telecom, and IT sectors. According to the Ministry of Trade, Industry, and Energy (MOTIE), the retail sector experienced significant growth in 2023, driven by the adoption of smart retail technologies and enhanced consumer experiences. This recognition is implemented for customer analytics, automated merchandising, and fraud prevention.
Additionally, the Australian Bureau of Statistics reported a 0.1% month-on-month growth and 1.3% compared with April 2023 in the retail sector in April 2024, driven by the rise of e-commerce and digital transformation initiatives. Image recognition is used for inventory tracking, customer engagement, and loss prevention. Hence, all these elements will aid in the expansion of the market.
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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The China market dominated the Asia Pacific Image Recognition Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$11.51 billion by 2031. The Japan market is registering a CAGR of 16.6% during (2024 - 2031). Additionally, The India market would showcase a CAGR of 18% during (2024 - 2031).
In smart devices and IoT, this recognition plays a crucial role by enhancing capabilities such as security and surveillance. IoT technologies, especially with edge computing and artificial intelligence, allow for sophisticated monitoring systems. These systems can identify and track objects and individuals, enhancing security protocols and providing real-time alerts.
Moreover, the availability of more powerful computing resources at lower costs, such as cloud computing platforms and specialized processing hardware like GPUs, has democratized access to advanced recognition capabilities. Small startups and large enterprises alike can now deploy sophisticated recognition technologies without significant upfront investment in hardware, making these tools more accessible than ever before.
In South Korea, the increasing demand for this technology is attributed to the expansion of the retail, consumer goods, telecom, and IT sectors. According to the Ministry of Trade, Industry, and Energy (MOTIE), the retail sector experienced significant growth in 2023, driven by the adoption of smart retail technologies and enhanced consumer experiences. This recognition is implemented for customer analytics, automated merchandising, and fraud prevention.
Additionally, the Australian Bureau of Statistics reported a 0.1% month-on-month growth and 1.3% compared with April 2023 in the retail sector in April 2024, driven by the rise of e-commerce and digital transformation initiatives. Image recognition is used for inventory tracking, customer engagement, and loss prevention. Hence, all these elements will aid in the expansion of the market.
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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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. Asia Pacific Image Recognition Market by Deployment Mode
Chapter 6. Asia Pacific Image Recognition Market by Vertical
Chapter 7. Asia Pacific Image Recognition Market by Component
Chapter 8. Asia Pacific Image Recognition Market by Application
Chapter 9. Asia Pacific Image Recognition Market by Technology
Chapter 10. Asia Pacific 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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