The Asia Pacific Embedded AI Market should witness market growth of 14.6% CAGR during the forecast period (2023-2030).
IoT devices generate enormous amounts of data; by adding AI capabilities, such devices may analyze local data, do predictive analytics, and automate intelligently. Due to the integrated AI, IoT devices are now smarter, more efficient, and capable of providing personalized experiences. NPUs are specialized hardware accelerators that are used for AI activities. They provide quick processing and minimal energy usage for embedded AI systems. NPUs are becoming increasingly well-liked, and a wide range of embedded devices, such as smartphones, smart home appliances, and driverless cars, are incorporating them.
A greater focus has been placed on safeguarding the security and privacy of sensitive data handled at the edge due to the growth of these systems. Security measures such as secure enclaves and encryption were included in embedded AI breakthroughs to protect data and prevent illegal access.
Due to the expanding population of the subcontinent, Southeast Asia is now experiencing tremendous expansion. Due to Asia's fast pace of technical advancement and openness to new ideas, many businesses use this region's embrace of technology to their advantage. Leading embedded lending companies are headquartered in APAC, but the area attracts some of the most sophisticated regional fintech companies. The digital economy is one area where Asia Pacific's variety is evident. Even if notable fintech hubs like Singapore and Hong Kong exist, developing nations are steadily expanding their fintech capacities. As a consequence, the BFSI industry in the area is adopting embedded AI at a consistent pace. By leveraging the promise of embedded finance, some Southeast Asian businesses are already finding success. With all of these factors taken into account, the APAC region's market will see tremendous growth.
The China market dominated the Asia Pacific Embedded AI Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,711.9 million by 2030. The Japan market is registering a CAGR of 13.9% during (2023-2030). Additionally, The India market would showcase a CAGR of 15.3% during (2023-2030).
Based on Vertical, the market is segmented into BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing, and Others. Based on Data Type, the market is segmented into Numeric Data, Sensor Data, Image & Video Data, Categorical Data, and Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, AI Accelerators, and Others), Software (Edge Computing Platforms, AI & ML Framework, and AI Middleware & Others), and Services. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet Inc.), IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, Qualcomm, Inc., Salesforce, Inc., Siemens AG and Oracle Corporation.
IoT devices generate enormous amounts of data; by adding AI capabilities, such devices may analyze local data, do predictive analytics, and automate intelligently. Due to the integrated AI, IoT devices are now smarter, more efficient, and capable of providing personalized experiences. NPUs are specialized hardware accelerators that are used for AI activities. They provide quick processing and minimal energy usage for embedded AI systems. NPUs are becoming increasingly well-liked, and a wide range of embedded devices, such as smartphones, smart home appliances, and driverless cars, are incorporating them.
A greater focus has been placed on safeguarding the security and privacy of sensitive data handled at the edge due to the growth of these systems. Security measures such as secure enclaves and encryption were included in embedded AI breakthroughs to protect data and prevent illegal access.
Due to the expanding population of the subcontinent, Southeast Asia is now experiencing tremendous expansion. Due to Asia's fast pace of technical advancement and openness to new ideas, many businesses use this region's embrace of technology to their advantage. Leading embedded lending companies are headquartered in APAC, but the area attracts some of the most sophisticated regional fintech companies. The digital economy is one area where Asia Pacific's variety is evident. Even if notable fintech hubs like Singapore and Hong Kong exist, developing nations are steadily expanding their fintech capacities. As a consequence, the BFSI industry in the area is adopting embedded AI at a consistent pace. By leveraging the promise of embedded finance, some Southeast Asian businesses are already finding success. With all of these factors taken into account, the APAC region's market will see tremendous growth.
The China market dominated the Asia Pacific Embedded AI Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,711.9 million by 2030. The Japan market is registering a CAGR of 13.9% during (2023-2030). Additionally, The India market would showcase a CAGR of 15.3% during (2023-2030).
Based on Vertical, the market is segmented into BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing, and Others. Based on Data Type, the market is segmented into Numeric Data, Sensor Data, Image & Video Data, Categorical Data, and Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, AI Accelerators, and Others), Software (Edge Computing Platforms, AI & ML Framework, and AI Middleware & Others), and Services. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet Inc.), IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, Qualcomm, Inc., Salesforce, Inc., Siemens AG and Oracle Corporation.
Scope of the Study
By Vertical
- BFSI
- Healthcare & Lifesciences
- IT & Telecom
- Automotive
- Media & Entertainment
- Energy & Power
- Transportation & Logistics
- Government & Defense
- Manufacturing
- Others
By Data Type
- Numeric Data
- Sensor Data
- Image & Video Data
- Categorical Data
- Others
By Offering
- Hardware
- Processors
- Memory Units
- AI Accelerators
- Others
- Software
- Edge Computing Platforms
- AI & ML Framework
- AI Middleware & Others
- Services
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Intel Corporation
- Qualcomm, Inc.
- Salesforce, Inc.
- Siemens AG
- Oracle Corporation
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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 Embedded AI Market by Vertical
Chapter 6. Asia Pacific Embedded AI Market by Data Type
Chapter 7. Asia Pacific Embedded AI Market by Offering
Chapter 8. Asia Pacific Embedded AI Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Intel Corporation
- Qualcomm, Inc.
- Salesforce, Inc.
- Siemens AG
- Oracle Corporation
Methodology
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