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組み込みAI市場レポート：2030年までの動向、予測、競合分析

Embedded AI Market Report: Trends, Forecast and Competitive Analysis to 2030

出版日
発行
Lucintel
ページ情報
英文 150 Pages
納期
3営業日
カスタマイズ可能
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組み込みAI市場レポート：2030年までの動向、予測、競合分析
出版日: 2023年10月03日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
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  • 全表示
  • 概要
  • 目次
概要

組み込みAIの動向と予測

世界の組み込みAI市場は、2024年から2030年までのCAGRが12.6%で、2030年までに推定209億米ドルに達すると予測されています。この市場の主な促進要因は、インテリジェントデバイスに対する需要の増加、モノのインターネット（IoT）の普及の高まり、エッジコンピューティングに対するニーズの高まりです。世界の組み込みAI市場の将来は、家電、産業、自動車・輸送、ICT（情報通信技術）、航空宇宙・防衛の各市場における機会で有望視されています。

組み込みAI市場の洞察

Lucintel社は、数値データは保存と処理が容易で、幅広い組み込みAIアプリケーションで使用できるため、予測期間中に最も高い成長が見込まれると予測しています。

同市場では、製造業が引き続き最大セグメントとなります。

北米は、テクノロジー企業の存在感が強く、資金調達が可能で、インテリジェントエッジデバイスの採用が増加しているため、予測期間中も最大地域であり続けると思われます。

本レポートでは、以下の11の主要な質問に回答している：

  • Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
  • Q.2.今後成長が加速するセグメントとその理由は？
  • Q.3.今後成長が加速すると思われる地域とその理由は？
  • Q.4.市場力学に影響を与える主な要因は何か？市場における主な課題とビジネスリスクは？
  • Q.5.この市場におけるビジネスリスクと競合の脅威は？
  • Q.6.この市場における新たな動向とその理由は？
  • Q.7.市場における顧客の需要の変化にはどのようなものがありますか？
  • Q.8.この市場における新たな開発と、その開発をリードしている企業は？
  • Q.9.この市場における主要企業は？主要企業は事業成長のためにどのような戦略的取り組みを進めているのか？
  • Q.10.この市場における競合製品にはどのようなものがあり、材料や製品の代替による市場シェア低下の脅威はどの程度ありますか？
  • Q.11.過去5年間にどのようなM&Aが行われ、業界にどのような影響を与えましたか？

目次

第1章 エグゼクティブサマリー

第2章 世界の組み込みAI市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界の組み込みAI市場動向（2018～2023年）と予測（2024～2030年）
  • オファリング別の世界の組み込みAI市場
    • ハードウェア
    • ソフトウェア
    • サービス
  • データタイプ別の世界の組み込みAI市場
    • 数値データ
    • カテゴリカルデータ
    • 画像とビデオデータ
  • 業界別の世界の組み込みAI市場
    • 自動車
    • 製造業
    • ヘルスケアとライフサイエンス
    • 電気通信

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界の組み込みAI市場
  • 北米の組み込みAI市場
  • 欧州の組み込みAI市場
  • アジア太平洋の組み込みAI市場
  • その他地域組み込みAI市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • オファリング別の世界の組み込みAI市場の成長機会
    • データタイプ別の世界の組み込みAI市場の成長機会
    • 業界別の世界の組み込みAI市場の成長機会
    • 地域別の世界の組み込みAI市場の成長機会
  • 世界の組み込みAI市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界の組み込みAI市場の能力拡大
    • 世界の組み込みAI市場における合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

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

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