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市场调查报告书
商品编码
1386265

嵌入式人工智慧市场报告：2030 年趋势、预测与竞争分析

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个工作天内

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简介目录

嵌入式人工智慧趋势和预测

预计到 2030 年，全球嵌入式人工智慧市场将达到 209 亿美元，2024 年至 2030 年年复合成长率为 12.6%。该市场的主要驱动因素是对智慧型设备的需求不断增长、物联网（IoT）的普及不断提高以及对边缘运算的需求不断增长。全球嵌入式人工智慧市场的未来前景广阔，消费性电子、工业、汽车和交通、ICT（资讯和通讯技术）以及航太和国防市场都充满机会。

嵌入式人工智慧市场洞察

Lucintel 预测，数值资料在预测期内将出现最高成长，因为它易于储存和处理，并且可用于广泛的嵌入式人工智慧应用。

製造业仍然是市场中最大的部分。

由于科技公司的强大存在、资金筹措以及智慧型边缘设备的日益普及，北美在预测期内可能仍然是最大的地区。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2. 未来哪个细分市场成长较快？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要因素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些？由于材料或产品替代而导致市场占有率下降的威胁有多大？
  • Q.11.过去年度发生了哪些併购事件，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球嵌入式人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球嵌入式AI市场趋势（2018-2023）与预测（2024-2030）
  • 全球嵌入式人工智慧市场（按产品划分）
    • 硬体
    • 软体
    • 服务
  • 按资料类型分類的全球嵌入式人工智慧市场
    • 数值资料
    • 分类资料
    • 影像和视讯资料
  • 按行业分類的全球嵌入式人工智慧市场
    • 汽车
    • 製造业
    • 医疗保健和生命科学
    • 电讯

第4章2018-2030年分地区市场趋势及预测分析

  • 全球嵌入式人工智慧市场区域分布
  • 北美嵌入式人工智慧市场
  • 欧洲嵌入式人工智慧市场
  • 亚太嵌入式人工智慧市场
  • 其他区域嵌入式人工智慧市场

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 全球嵌入式人工智慧市场成长机会（按产品划分）
    • 按资料类型分類的全球嵌入式人工智慧市场成长机会
    • 全球嵌入式人工智慧市场成长机会（按行业）
    • 全球嵌入式人工智慧市场成长机会（按地区）
  • 全球嵌入式人工智慧市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 扩大全球嵌入式人工智慧市场的产能
    • 全球嵌入式AI市场的合併、收购与合资
    • 认证和许可

第7章主要企业概况

  • Google
  • IBM
  • Microsoft
  • AWS
  • NVIDIA
  • Intel
  • Qualcomm
  • ARM
  • AMD
  • MediaTek
简介目录

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