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市场调查报告书
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1529410

全球人工智慧在製造业市场规模研究，按组件、技术、应用、最终用途和区域预测 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个工作天内

价格
简介目录

2023年，全球製造业人工智慧(AI)市场价值约41亿美元，预计在2024-2032年预测期内将以超过44.20%的健康成长率成长。製造业中的人工智慧是指利用机器学习和深度学习解决方案来优化製造流程。利用工业物联网和智慧工厂产生的大量资料，人工智慧在製造业的应用涵盖预测性维护、生产计画、製程控制、品质控制和物流管理。这些技术可以显着降低维护成本，提高生产效率，并透过分析复杂的资料集来支援决策过程。

对提高製造效率的不断增长的需求和工业 4.0 的普及是市场成长的关键驱动力。分析、扩增实境和智慧包装等人工智慧驱动的解决方案在製造设施中的整合正在促进该行业的数位转型。随着製造业越来越多地寻求可持续的解决方案，人工智慧在该行业的采用将显着扩大。自动化的进步和对巨量资料整合不断增长的需求也推动了市场的扩张。机器视觉相机在从机械检测到品质控制的各种製造应用中的广泛使用说明了人工智慧在该领域的关键作用。主要市场参与者不断创新和扩大其产品组合以保持竞争力。例如，Databricks 于 2023 年 4 月为製造商推出了 Databricks Lakehouse，采用预先开发的人工智慧解决方案，突显了业界持续的技术进步。

由于生产高性能人工智慧硬体组件的顶级公司的存在，北美在 2023 年以 33.9% 的份额引领市场。美国政府的先进製造国家策略强调机器学习、资料隐私和风险评估的研发，促进人工智慧在製造业的整合。此外，亚太地区有望实现显着成长，中国、日本和印度等国家在智慧製造和工业 4.0 原则方面取得了长足进步，从而透过人工智慧驱动的技术改进了生产程序。

目录

第 1 章：製造业市场中的全球人工智慧执行摘要

  • 全球人工智慧在製造业市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按组件
    • 依技术
    • 按申请
    • 按最终用途
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球人工智慧在製造业市场的定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包含与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球人工智慧在製造业市场动态中的应用

  • 市场驱动因素
    • 工业 4.0 的采用率不断提高
    • 自动化需求不断成长
    • 大数据在製造业的整合
  • 市场挑战
    • 供应链的复杂性
    • 实施成本高
  • 市场机会
    • 机器学习的进步
    • 新兴市场的扩张
    • 智慧工厂发展

第 4 章：全球人工智慧在製造业市场的产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的 5 力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球人工智慧在製造业市场规模与预测：按组成部分 - 2022-2032

  • 细分仪表板
  • 全球製造业市场人工智慧：2022年和2032年零件收入趋势分析
    • 硬体
    • 软体
    • 服务

第 6 章：全球人工智慧在製造业市场规模与预测：按技术分类 - 2022-2032

  • 细分仪表板
  • 全球製造业市场人工智慧：2022 年和 2032 年技术收入趋势分析
    • 机器学习
    • 电脑视觉
    • 情境意识
    • 自然语言处理

第 7 章：全球人工智慧在製造业市场规模与预测：按应用分类 - 2022-2032

  • 细分仪表板
  • 全球製造业市场人工智慧：2022 年和 2032 年应用收入趋势分析
    • 物质运动
    • 预测性维护和机械检查
    • 生产计划
    • 现场服务
    • 品质控制和回收
    • 其他的

第 8 章：全球人工智慧在製造业市场规模与预测：按最终用途分类 - 2022-2032

  • 细分仪表板
  • 全球製造业市场人工智慧：2022 年和 2032 年最终用途收入趋势分析
    • 半导体与电子
    • 能源与电力
    • 医疗器材
    • 汽车
    • 重金属与机械製造
    • 其他的

第 9 章：全球人工智慧在製造业市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 10 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • AIBrain Inc.
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • 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：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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