Embedded AI Market Outlook And Industry Analysis Report 2032

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Embedded AI Global Market Report 2023
Market Size, Trends and Global Forecast 2023-2032
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Point-of-Use Embedded AI Market Segments
The Business Research Company segments its
Point-of-Use Embedded AI Market report as
Hardware, Software, Services
By Offering
Sensor Data, Image And Video Data, Numeric Data,
Categorial Data, Other Data Types
By Data Type
Smart Phone, Wearable Device, Vehicle
Electronics, Smart Home, Security Monitoring,
Drone, Robot, Other Applications
By Application
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Point-of-Use Embedded AI Market Statistics
The global embedded AI market is expected to grow
from 11.64 billion in 2022 to 13.04 billion in
2023 at a compound annual growth rate (CAGR) of
12. The Russia-Ukraine war disrupted the chances
of global economic recovery from the COVID-19
pandemic. The war between these two countries has
led to economic sanctions on multiple countries,
surge in commodity prices, and supply chain
disruptions, causing inflation across goods and
services and resulted in increased interest rates
affecting many markets across the globe. The
embedded AI market is expected to reach 20.36
billion in 2027 at a CAGR of 11.8.
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Key Market Drivers And Trends
Drivers
An increase in industrial automation is expected
to propel the growth of the embedded AI market
going forward.
Trends
Innovation of technological products are a key
trend gaining popularity in the embedded AI
market.
Region
North America was the largest region in the
embedded AI market in 2022.
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Key Market Players

• Major players in the Point-of-Use Embedded AI
  Market are
• Google LLC
• Microsoft Corporation
• Amazon Web Services Inc.
• Siemens
• Intel Corporation

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5 Reasons Why TBRC Is The Solution You Need

1. Measure the impact of high global inflation on
   market growth
2. Outperform competitors using forecast data and
   the drivers and trends shaping the market
3. Get a comprehensive market sizing report with a
   truly global perspective covering 60 geographies
   from The Business Research Company, with data
   from 2017 to 2023 and forecasts up to 2032.
4. Assess the Russia-Ukraine wars impact on
   commodity supply and its direct and indirect
   impact on all the markets
5. Benchmark performance against key competitors.

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