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Embedded AI Trends and Forecast
The future of the global embedded AI market looks promising with opportunities in the consumer electronics, industrial, automotive & transportation, ICT (information and communications technology), and aerospace & defense markets. The global embedded AI market is expected to reach an estimated $20.9 billion by 2030 with a CAGR of 12.6% from 2024 to 2030. The major drivers for this market are increasing demand for intelligent devices, rising proliferation of the internet of things (IOT), and growing need for edge computing.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Embedded AI by Segment
The study includes a forecast for the global embedded AI by offering, data type, vertical, and region.
Embedded AI Market by Offering [Shipment Analysis by Value from 2018 to 2030]:
• Hardware
• Software
• Services
Embedded AI Market by Data Type [Shipment Analysis by Value from 2018 to 2030]:
• Numerical Data
• Categorical Data
• Image & Video Data
Embedded AI Market by Vertical [Shipment Analysis by Value from 2018 to 2030]:
• Automotive
• Manufacturing
• Healthcare & Life Sciences
• Telecom
Embedded AI Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Embedded AI Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies embedded AI companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the embedded AI companies profiled in this report include-
• Google
• IBM
• Microsoft
• AWS
• Nvidia
• Intel
• Qualcomm
• ARM
• AMD
• Mediatek
Embedded AI Market Insights
Lucintel forecasts that numeric data is expected to witness highest growth over the forecast period as it is easy to store and process and it can be used in a wide range of embedded AI applications.
Within this market, manufacturing will remain the largest segment.
North America will remain the largest region over the forecast period due to the strong presence of technology companies, availability of funding and increasing adoption of intelligent edge devices in the region.
Features of the Global Embedded AI Market
Market Size Estimates: Embedded AI market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Embedded AI market size by offering, data type, vertical, and region in terms of value ($B).
Regional Analysis: Embedded AI market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different offerings, data types, verticals, and regions for the embedded AI market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the embedded AI market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q.1 What is the embedded AI market size?
Answer: The global embedded AI market is expected to reach an estimated $20.9 billion by 2030.
Q.2 What is the growth forecast for embedded AI market?
Answer: The global embedded AI market is expected to grow with a CAGR of 12.6% from 2024 to 2030.
Q.3 What are the major drivers influencing the growth of the embedded AI market?
Answer: The major drivers for this market are increasing demand for intelligent devices, rising proliferation of the internet of things (IOT), and growing need for edge computing.
Q4. What are the major segments for embedded AI market?
Answer: The future of the global embedded AI market looks promising with opportunities in the consumer electronics, industrial, automotive & transportation, ICT (information and communications technology), and aerospace & defense markets.
Q5. Who are the key embedded AI market companies?
Answer: Some of the key embedded AI companies are as follows:
• Google
• IBM
• Microsoft
• AWS
• Nvidia
• Intel
• Qualcomm
• ARM
• AMD
• Mediatek
Q6. Which embedded AI market segment will be the largest in future?
Answer: Lucintel forecasts that numeric data is expected to witness highest growth over the forecast period as it is easy to store and process and it can be used in a wide range of embedded AI applications.
Q7. In embedded AI market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to the strong presence of technology companies, availability of funding and increasing adoption of intelligent edge devices in the region.
Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the embedded AI market by offering (hardware, software, and services), data type (numerical data, categorical data, and image & video data), vertical (automotive, manufacturing, healthcare & life sciences, and telecom), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Embedded Ai Market, Embedded Ai Market Size, Embedded Ai Market Growth, Embedded Ai Market Analysis, Embedded Ai Market Report, Embedded Ai Market Share, Embedded Ai Market Trends, Embedded Ai Market Forecast, Embedded Ai Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents
1. Executive Summary
2. Global Embedded AI Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Embedded AI Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Embedded AI Market by Offering
3.3.1: Hardware
3.3.2: Software
3.3.3: Services
3.4: Global Embedded AI Market by Data Type
3.4.1: Numerical Data
3.4.2: Categorical Data
3.4.3: Image & Video Data
3.5: Global Embedded AI Market by Vertical
3.5.1: Automotive
3.5.2: Manufacturing
3.5.3: Healthcare & Life Sciences
3.5.4: Telecom
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Embedded AI Market by Region
4.2: North American Embedded AI Market
4.2.1: North American Embedded AI Market by Data Type: Numerical Data, Categorical Data, and Image & Video Data
4.2.2: North American Embedded AI Market by Vertical: Automotive, Manufacturing, Healthcare & Life Sciences, and Telecom
4.3: European Embedded AI Market
4.3.1: European Embedded AI Market by Data Type: Numerical Data, Categorical Data, and Image & Video Data
4.3.2: European Embedded AI Market by Vertical: Automotive, Manufacturing, Healthcare & Life Sciences, and Telecom
4.4: APAC Embedded AI Market
4.4.1: APAC Embedded AI Market by Data Type: Numerical Data, Categorical Data, and Image & Video Data
4.4.2: APAC Embedded AI Market by Vertical: Automotive, Manufacturing, Healthcare & Life Sciences, and Telecom
4.5: ROW Embedded AI Market
4.5.1: ROW Embedded AI Market by Data Type: Numerical Data, Categorical Data, and Image & Video Data
4.5.2: ROW Embedded AI Market by Vertical: Automotive, Manufacturing, Healthcare & Life Sciences, and Telecom
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Embedded AI Market by Offering
6.1.2: Growth Opportunities for the Global Embedded AI Market by Data Type
6.1.3: Growth Opportunities for the Global Embedded AI Market by Vertical
6.1.4: Growth Opportunities for the Global Embedded AI Market by Region
6.2: Emerging Trends in the Global Embedded AI Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Embedded AI Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Embedded AI Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Google
7.2: IBM
7.3: Microsoft
7.4: AWS
7.5: NVIDIA
7.6: Intel
7.7: Qualcomm
7.8: ARM
7.9: AMD
7.10: MediaTek
.
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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