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市場調查報告書
商品編碼
1386265

嵌入式人工智慧市場報告：2030 年趨勢、預測與競爭分析

Embedded AI Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

嵌入式人工智慧趨勢和預測

預計到 2030 年，全球嵌入式人工智慧市場將達到 209 億美元，2024 年至 2030 年年複合成長率為 12.6%。該市場的主要促進因素是對智慧型設備的需求不斷成長、物聯網（IoT）的普及不斷提高以及對邊緣運算的需求不斷成長。全球嵌入式人工智慧市場的未來前景廣闊，消費性電子、工業、汽車和交通、ICT（資訊和通訊技術）以及航太和國防市場都充滿機會。

嵌入式人工智慧市場洞察

Lucintel 預測，數值資料在預測期內將出現最高成長，因為它易於儲存和處理，並且可用於廣泛的嵌入式人工智慧應用。

製造業仍然是市場中最大的部分。

由於科技公司的強大存在、資金籌措以及智慧型邊緣設備的日益普及，北美在預測期內可能仍然是最大的地區。

本報告回答了 11 個關鍵問題：

  • Q.1. 細分市場中最有前途和高成長的機會是什麼？
  • Q.2. 未來哪個細分市場成長較快？為什麼？
  • Q.3.您認為哪些地區未來會出現更快的成長？為什麼？
  • Q.4. 影響市場動態的主要因素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5. 這個市場的商業風險和競爭威脅是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • Q.7.市場客戶需求有何改變？
  • Q.8. 該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10. 該市場上的競爭產品有哪些？由於材料或產品替代而導致市場佔有率下降的威脅有多大？
  • Q.11.過去年度發生了哪些併購事件，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球嵌入式人工智慧市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球嵌入式AI市場趨勢（2018-2023）與預測（2024-2030）
  • 全球嵌入式人工智慧市場（按產品分類）
    • 硬體
    • 軟體
    • 服務
  • 按資料類型分類的全球嵌入式人工智慧市場
    • 數值資料
    • 分類資料
    • 影像和視訊資料
  • 按行業分類的全球嵌入式人工智慧市場
    • 汽車
    • 製造業
    • 醫療保健和生命科學
    • 電訊

第4章 2018-2030年分地區市場趨勢及預測分析

  • 全球嵌入式人工智慧市場區域分佈
  • 北美嵌入式人工智慧市場
  • 歐洲嵌入式人工智慧市場
  • 亞太嵌入式人工智慧市場
  • 其他區域嵌入式人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球嵌入式人工智慧市場成長機會（按產品分類）
    • 按資料類型分類的全球嵌入式人工智慧市場成長機會
    • 全球嵌入式人工智慧市場成長機會（按行業）
    • 全球嵌入式人工智慧市場成長機會（按地區）
  • 全球嵌入式人工智慧市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球嵌入式人工智慧市場的產能
    • 全球嵌入式AI市場的合併、收購與合資
    • 認證和許可

第7章 主要企業概況

  • Google
  • IBM
  • Microsoft
  • AWS
  • NVIDIA
  • Intel
  • Qualcomm
  • ARM
  • AMD
  • MediaTek
簡介目錄

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