한글목차

임베디드 AI 동향 및 전망

세계 임베디드 AI 시장은 2024년부터 2030년까지 12.6%의 CAGR을 나타내고, 2030년까지 약 209억 달러에 달할 것으로 예상됩니다. 이 시장의 주요 동인은 지능형 기기에 대한 수요 증가, 사물인터넷(IoT) 보급 확대, 엣지 컴퓨팅에 대한 수요 증가 등입니다. 세계 임베디드 AI 시장의 미래는 가전, 산업, 자동차 및 운송, ICT(정보통신기술), 항공우주 및 국방 시장에서 기회가 있을 것으로 예상됩니다.

임베디드 AI 시장 인사이트

루킨텔은 수치 데이터는 저장과 처리가 용이하고 다양한 임베디드 AI 용도에 사용될 수 있기 때문에 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상하고 있습니다.

제조업은 이 시장에서 가장 큰 부문이 될 것입니다.

북미는 기술 기업의 존재감이 강하고, 자금 조달이 가능하며, 인텔리전트 엣지 디바이스의 채택이 증가함에 따라 예측 기간 동안 가장 규모가 큰 지역으로 남을 것으로 보입니다.

이 보고서는 다음과 같은 11가지 주요 질문에 대한 답변을 담고 있습니다.

• Q.1. 시장 부문 중 가장 유망하고 성장성이 높은 기회는 무엇인가?
• Q.2. 향후 성장이 가속화될 부문과 그 이유는?
• Q.3. 향후 성장이 가속화될 것으로 예상되는 지역과 그 이유는?
• Q.4. 시장 역학에 영향을 미치는 주요 요인은? 시장의 주요 과제와 비즈니스 리스크는 무엇인가?
• Q.5. 이 시장에서의 비즈니스 리스크와 경쟁 위협은 무엇인가?
• Q.6. 이 시장의 새로운 트렌드와 그 이유는?
• Q.7. 시장에서의 고객 수요 변화에는 어떤 것들이 있는가?
• Q.8. 이 시장의 새로운 발전과 그 발전을 주도하고 있는 기업은?
• Q.9. 이 시장의 주요 기업은? 주요 기업들은 사업 성장을 위해 어떤 전략적 노력을 기울이고 있는가?
• Q.10. 이 시장의 경쟁 제품에는 어떤 것들이 있으며, 소재 및 제품 대체에 따른 시장 점유율 하락의 위협은 어느 정도인가?
• Q.11. 지난 5년간 어떤 M&A가 이루어졌고, 업계에 어떤 영향을 미쳤는가?

목차

제1장 주요 요약

제2장 세계의 임베디드 AI 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계 촉진요인과 과제

제3장 시장 동향 및 예측 분석(2018-2030년)

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 임베디드 AI 시장 동향(2018-2023년)과 예측(2024-2030년)
• 제공 제품별 세계의 임베디드 AI 시장
  • 하드웨어
  • 소프트웨어
  • 서비스
• 데이터 유형별 세계의 임베디드 AI 시장
  • Numerical Data
  • Categorical Data
  • 영상 및 비디오 데이터
• 업계별 세계의 임베디드 AI 시장
  • 자동차
  • 제조업
  • 헬스케어 및 생명과학
  • 통신

제4장 지역별 시장 동향 및 예측 분석(2018-2030년)

• 지역별 세계의 임베디드 AI 시장
• 북미의 임베디드 AI 시장
• 유럽의 임베디드 AI 시장
• 아시아태평양의 임베디드 AI 시장
• 기타 지역의 임베디드 AI 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영상 통합
• Porter의 Five Forces 분석

제6장 성장 기회와 전략적 분석

• 성장 기회 분석
  • 제공 제품별 세계의 임베디드 AI 시장 성장 기회
  • 데이터 유형별 세계의 임베디드 AI 시장 성장 기회
  • 업계별 세계의 임베디드 AI 시장 성장 기회
  • 지역별 세계의 임베디드 AI 시장 성장 기회
• 세계 임베디드 AI 시장의 새로운 동향
• 전략적 분석
  • 신제품 개발
  • 세계의 임베디드 AI 시장 능력 확대
  • 세계의 임베디드 AI 시장의 인수합병(M&A) 및 합작투자(JV)
  • 인증 및 라이선싱

제7장 유력 기업의 기업 개요

• Google
• IBM
• Microsoft
• AWS
• NVIDIA
• Intel
• Qualcomm
• ARM
• AMD
• MediaTek

영문목차

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.

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?

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