The global Embedded AI market is anticipated to grow at a considerable CAGR of 9.6% during the forecast period (2023-2030). The increasing demand for advanced technologies that can provide personalized and adaptive experiences to users to boost the adoption of embedded Al solutions in the market. The demand for personalized experiences has led to the integration of Al capabilities into various embedded systems.The program explores the specialized tools, frameworks, technologies, platforms, and methods used to create exciting new embedded AI devices.
Browse the full report description of “Embedded AI Market Size, Share & Trends Analysis Report by Offering (Hardware, Software, and Services), by Data Type (Numerical Data, Categorical Data, and Image & Video Data), and by Vertical (BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others), Forecast Period (2023-2030)” at https://www.omrglobal.com/industry-reports/embedded-ai-market
For instance, in August 2023, CAMS launched AI-embedded KYC to onboard customers instantly. CAMSKRA, a CAMS subsidiary and a leading KRA (KYC Registration Agency) serving capital market players, has simplified the KYC registration process by leveraging Artificial intelligence (AI) to verify and confirm the KYC status of new customers. The growing demand for intelligent and autonomous systems for personalized experience is further driving the development and adoption of embedded Al solutions.
In May 2023, SAP SE and IBM Corp. announced that IBM Watson technology embedded into SAP solutions to provide new AI-driven insights and automation to help accelerate innovation and create more efficient and effective user experiences across the SAP solution portfolio. Artificial intelligence (AI) is being incorporated into small, low-power embedded computing devices for consumer electronics, industry, and the Internet of Things (IoT). For instance, in March 2022, NVIDIA launched the embedded AI computing platform for medical devices and computational sensing systems. .
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Offering
o By Data Type
o By Vertical
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- includes Google LLC, IBM Corp., Microsoft Corp., Amazon Web Services, Inc., NeuroPace, Inc., and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Embedded AI Market Report Segment
By Offering
By Data Type
By Vertical
Global Embedded AI Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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