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1529410

全球人工智慧在製造業市場規模研究，按組件、技術、應用、最終用途和區域預測 2022-2032

Global Artificial Intelligence in Manufacturing Market Size study, by Component, by Technology, by Application, by End-Use and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年，全球製造業人工智慧(AI)市場價值約41億美元，預計在2024-2032年預測期內將以超過44.20%的健康成長率成長。製造業中的人工智慧是指利用機器學習和深度學習解決方案來最佳化製造流程。利用工業物聯網和智慧工廠產生的大量資料，人工智慧在製造業的應用涵蓋預測性維護、生產計畫、製程控制、品質控制和物流管理。這些技術可以顯著降低維護成本，提高生產效率，並透過分析複雜的資料集來支援決策過程。

對提高製造效率的不斷成長的需求和工業 4.0 的普及是市場成長的關鍵驅動力。分析、擴增實境和智慧包裝等人工智慧驅動的解決方案在製造設施中的整合正在促進該行業的數位轉型。隨著製造業擴大尋求永續的解決方案，人工智慧在該行業的採用將顯著擴大。自動化的進步和對巨量資料整合不斷成長的需求也推動了市場的擴張。機器視覺相機在從機械檢測到品質控制的各種製造應用中的廣泛使用說明了人工智慧在該領域的關鍵作用。主要市場參與者不斷創新和擴大其產品組合以保持競爭力。例如，Databricks 於 2023 年 4 月為製造商推出了 Databricks Lakehouse，採用預先開發的人工智慧解決方案，突顯了業界持續的技術進步。

由於生產高性能人工智慧硬體組件的頂級公司的存在，北美在 2023 年以 33.9% 的佔有率引領市場。美國政府的先進製造國家策略強調機器學習、資料隱私和風險評估的研發，促進人工智慧在製造業的整合。此外，亞太地區有望實現顯著成長，中國、日本和印度等國家在智慧製造和工業 4.0 原則方面取得了長足進步，從而透過人工智慧驅動的技術改進了生產程序。

目錄

第 1 章：製造業市場中的全球人工智慧執行摘要

  • 全球人工智慧在製造業市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按組件
    • 依技術
    • 按申請
    • 按最終用途
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球人工智慧在製造業市場的定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球人工智慧在製造業市場動態中的應用

  • 市場促進因素
    • 工業 4.0 的採用率不斷提高
    • 自動化需求不斷成長
    • 巨量資料在製造業的整合
  • 市場挑戰
    • 供應鏈的複雜性
    • 實施成本高
  • 市場機會
    • 機器學習的進步
    • 新興市場的擴張
    • 智慧工廠發展

第 4 章：全球人工智慧在製造業市場的產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球人工智慧在製造業市場規模與預測：按組成部分 - 2022-2032

  • 細分儀表板
  • 全球製造業市場人工智慧：2022年和2032年零件收入趨勢分析
    • 硬體
    • 軟體
    • 服務

第 6 章：全球人工智慧在製造業市場規模與預測：按技術分類 - 2022-2032

  • 細分儀表板
  • 全球製造業市場人工智慧：2022 年和 2032 年技術收入趨勢分析
    • 機器學習
    • 電腦視覺
    • 情境意識
    • 自然語言處理

第 7 章：全球人工智慧在製造業市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 全球製造業市場人工智慧：2022 年和 2032 年應用收入趨勢分析
    • 物質運動
    • 預測性維護和機械檢查
    • 生產計劃
    • 現場服務
    • 品質控制和回收
    • 其他

第 8 章：全球人工智慧在製造業市場規模與預測：按最終用途分類 - 2022-2032

  • 細分儀表板
  • 全球製造業市場人工智慧：2022 年和 2032 年最終用途收入趨勢分析
    • 半導體與電子
    • 能源與電力
    • 醫療器材
    • 汽車
    • 重金屬與機械製造
    • 其他

第 9 章：全球人工智慧在製造業市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 10 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • AIBrain Inc.
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Amazon Web Services
    • Aquant Inc.
    • Cisco Systems Inc
    • General Electric Company
    • General Vision Inc.
    • Google LLC (Alphabet Inc.)
    • IBM Corporation
    • Intel Corporation
    • Micron Technology Inc.
    • Microsoft Corporation
    • Mitsubishi Electric Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • Rethink Robotics

第 11 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

The global Artificial Intelligence (AI) in Manufacturing market is valued approximately at USD 4.10 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 44.20% over the forecast period 2024-2032. Artificial Intelligence in manufacturing refers to the utilization of machine learning and deep learning solutions to optimize manufacturing processes. Leveraging the vast data produced by industrial IoT and smart factories, AI applications in manufacturing encompass predictive maintenance, production planning, process control, quality control, and logistics management. These technologies enable significant cost reductions in maintenance, enhance production efficiency, and support decision-making processes by analysing complex data sets.

The burgeoning demand for enhanced manufacturing efficiency and the proliferation of Industry 4.0 are key drivers of market growth. The integration of AI-driven solutions like analytics, augmented reality, and smart packaging within manufacturing facilities is facilitating the digital transformation of the sector. As manufacturing firms increasingly seek sustainable solutions, AI adoption in this industry is set to expand significantly. Advancements in automation and the growing need for big data integration are also fuelling market expansion. The widespread use of machine vision cameras in various manufacturing applications-ranging from machinery inspection to quality control-illustrates AI's pivotal role in this sector. Key market players are continuously innovating and expanding their product portfolios to maintain competitiveness. For instance, Databricks' launch of the Databricks Lakehouse for manufacturers in April 2023, featuring pre-developed AI solutions, underscores the ongoing technological advancements within the industry.

North America led the market with a 33.9% share in 2023, driven by the presence of top-tier companies producing high-performance AI hardware components. The U.S. government's National Strategy for Advanced Manufacturing emphasizes research and development in machine learning, data privacy, and risk assessment, facilitating AI integration in manufacturing. Additionally, Asia Pacific is poised for significant growth, with countries like China, Japan, and India making strides in smart manufacturing and Industry 4.0 principles, thereby enhancing production procedures through AI-driven technologies.

Major market player included in this report are:

  • AIBrain Inc.
  • Amazon Web Services
  • Aquant Inc.
  • Cisco Systems Inc.
  • General Electric Company
  • General Vision Inc.
  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Intel Corporation
  • Micron Technology Inc.
  • Microsoft Corporation
  • Mitsubishi Electric Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Rethink Robotics

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Hardware
  • Software
  • Services

By Technology:

  • Machine Learning (ML)
  • Computer Vision
  • Context Awareness
  • Natural Language Processing

By Application:

  • Material Movement
  • Predictive Maintenance & Machinery Inspection
  • Production Planning
  • Field Services
  • Quality Control & Reclamation
  • Others

By End-Use:

  • Semiconductor & Electronics
  • Energy & Power
  • Medical Devices
  • Automobile
  • Heavy Metal & Machine Manufacturing
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence in Manufacturing Market Executive Summary

  • 1.1. Global Artificial Intelligence in Manufacturing Market Size & Forecast (2022- 2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Technology
    • 1.3.3. By Application
    • 1.3.4. By End-Use
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence in Manufacturing Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence in Manufacturing Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Adoption of Industry 4.0
    • 3.1.2. Growing Demand for Automation
    • 3.1.3. Integration of Big Data in Manufacturing
  • 3.2. Market Challenges
    • 3.2.1. Supply Chain Complexities
    • 3.2.2. High Implementation Costs
  • 3.3. Market Opportunities
    • 3.3.1. Advancements in Machine Learning
    • 3.3.2. Expansion in Emerging Markets
    • 3.3.3. Development of Smart Factories

Chapter 4. Global Artificial Intelligence in Manufacturing Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Artificial Intelligence in Manufacturing Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Hardware
    • 5.2.2. Software
    • 5.2.3. Services

Chapter 6. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Technology 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Artificial Intelligence in Manufacturing Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Machine Learning
    • 6.2.2. Computer Vision
    • 6.2.3. Context Awareness
    • 6.2.4. Natural Language Processing

Chapter 7. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Artificial Intelligence in Manufacturing Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Material Movement
    • 7.2.2. Predictive Maintenance & Machinery Inspection
    • 7.2.3. Production Planning
    • 7.2.4. Field Services
    • 7.2.5. Quality Control & Reclamation
    • 7.2.6. Others

Chapter 8. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by End-Use 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Artificial Intelligence in Manufacturing Market: End-Use Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Semiconductor & Electronics
    • 8.2.2. Energy & Power
    • 8.2.3. Medical Devices
    • 8.2.4. Automobile
    • 8.2.5. Heavy Metal & Machine Manufacturing
    • 8.2.6. Others

Chapter 9. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Artificial Intelligence in Manufacturing Market
    • 9.1.1. U.S. Artificial Intelligence in Manufacturing Market
      • 9.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.1.1.4. End-Use breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada Artificial Intelligence in Manufacturing Market
  • 9.2. Europe Artificial Intelligence in Manufacturing Market
    • 9.2.1. U.K. Artificial Intelligence in Manufacturing Market
    • 9.2.2. Germany Artificial Intelligence in Manufacturing Market
    • 9.2.3. France Artificial Intelligence in Manufacturing Market
    • 9.2.4. Spain Artificial Intelligence in Manufacturing Market
    • 9.2.5. Italy Artificial Intelligence in Manufacturing Market
    • 9.2.6. Rest of Europe Artificial Intelligence in Manufacturing Market
  • 9.3. Asia-Pacific Artificial Intelligence in Manufacturing Market
    • 9.3.1. China Artificial Intelligence in Manufacturing Market
    • 9.3.2. India Artificial Intelligence in Manufacturing Market
    • 9.3.3. Japan Artificial Intelligence in Manufacturing Market
    • 9.3.4. Australia Artificial Intelligence in Manufacturing Market
    • 9.3.5. South Korea Artificial Intelligence in Manufacturing Market
    • 9.3.6. Rest of Asia Pacific Artificial Intelligence in Manufacturing Market
  • 9.4. Latin America Artificial Intelligence in Manufacturing Market
    • 9.4.1. Brazil Artificial Intelligence in Manufacturing Market
    • 9.4.2. Mexico Artificial Intelligence in Manufacturing Market
    • 9.4.3. Rest of Latin America Artificial Intelligence in Manufacturing Market
  • 9.5. Middle East & Africa Artificial Intelligence in Manufacturing Market
    • 9.5.1. Saudi Arabia Artificial Intelligence in Manufacturing Market
    • 9.5.2. South Africa Artificial Intelligence in Manufacturing Market
    • 9.5.3. Rest of Middle East & Africa Artificial Intelligence in Manufacturing Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. AIBrain Inc.
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. Amazon Web Services
    • 10.3.3. Aquant Inc.
    • 10.3.4. Cisco Systems Inc
    • 10.3.5. General Electric Company
    • 10.3.6. General Vision Inc.
    • 10.3.7. Google LLC (Alphabet Inc.)
    • 10.3.8. IBM Corporation
    • 10.3.9. Intel Corporation
    • 10.3.10. Micron Technology Inc.
    • 10.3.11. Microsoft Corporation
    • 10.3.12. Mitsubishi Electric Corporation
    • 10.3.13. NVIDIA Corporation
    • 10.3.14. Oracle Corporation
    • 10.3.15. Rethink Robotics

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes