查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
全球製造业人工智慧市场：按最终用户产业、应用、技术、组件和地区进行分析和预测（2024-2034）
市场调查报告书
商品编码
1470377

全球製造业人工智慧市场：按最终用户产业、应用、技术、组件和地区进行分析和预测（2024-2034）

Global AI in Manufacturing Market: Focus on End-Use Industry, Application, Technology, Component, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5个工作天内

价格
简介目录

人工智慧正在透过提高生产力、效率和资料主导的决策来重塑製造业格局。

使用人工智慧机器人实现任务自动化不仅可以简化业务，还可以提高职场的安全性。透过将劳动力解放出来，让他们专注于更复杂的任务，人工智慧正在帮助我们在快速发展的全球市场中保持竞争力，并为更敏捷和应对力的行业铺平道路。

乐观情况下，2024年市场规模预估为51.2亿美元，复合年增长率为38.46%，预计2034年将成长至1,325.4亿美元。这一成长趋势的主要驱动力是管理日益复杂的资料集的需求以及製造业机器学习演算法和资料分析的进步。

主要市场统计数据
预测期 2024-2034
2024年评估值 51.2亿美元
2034年预测 1325.4亿美元
复合年增长率 38.46%

儘管存在这些市场驱动因素，但市场仍面临诸如合格人才的可用性等障碍，尤其是在新兴经济体。然而，利用人工智慧、机器学习和自然语言处理 (NLP) 实现智慧业务流程为在製造业中扩展人工智慧提供了有利可图的机会。人工智慧和巨量资料分析使企业能够快速分析来自不同来源的各种结构化和非结构化资料。这使企业能够识别异常情况，降低维护成本，增强客户服务，实施预测性和预防性保养措施，并利用原始资料做出明智的决策。

北美的製造业人工智慧市场正在经历显着成长。北美地区的许多国家，包括美国、加拿大和墨西哥，都实施了政策和奖励来加速人工智慧的采用。这些政策通常包括旨在减少排放和促进永续交通解决方案的补贴、税收优惠和监管措施。该地区的製造业人工智慧格局充满活力，既有新兴企业、研究计划，也有产业领导者之间的策略联盟。虽然北美目前引领市场，但亚太地区预计在预测期内将显着成长。这一成长是由人工智慧技术在製造业中的快速接受和整合所推动的，从而提高了业务效率和创新进步。

本报告调查了全球製造业人工智慧市场，包括行业趋势、法律制度、使用案例、市场规模趋势和预测、各个细分市场/地区/主要国家的详细分析、竞争格局主要企业简介等

目录

执行摘要

第一章市场：产业展望

  • 趋势：当前和未来的影响评估
  • 供应链概览
    • 价值链分析
    • 价格预测
  • 监管状况
  • 相关利益者分析
    • 使用案例
    • 最终用户和购买标准
  • 全球重大事件影响分析
  • 市场动态概览
    • 市场驱动因素
    • 市场限制因素
    • 市场机会

第二章 製造业人工智慧市场：依应用分类

  • 使用分类
  • 应用概述
  • 製造业人工智慧市场：按最终用户产业
    • 车
    • 医疗设备
    • 电子产品
    • 能源/电力
    • 重金属/机械製造
    • 航太/国防
    • 其他的
  • 製造业人工智慧市场：按应用分类
    • 组装/品质测试
    • 产品开发/工程
    • 采购
    • 订单管理
    • 维护
    • 物流/库存管理
    • 其他的

第三章 製造业人工智慧市场：依产品分类

  • 产品分类
  • 产品概要
  • 製造业人工智慧市场：按组成部分
    • 软体
    • 硬体
    • 服务
  • 製造业人工智慧市场：依技术分类
    • 机器学习
    • 电脑视觉
    • 自然语言处理（NLP）
    • 其他的

第四章 製造业人工智慧市场：按地区划分

  • 製造业人工智慧市场：按地区划分
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 公司简介

  • 下一个前沿
  • 地理评估
    • Nvidia Corporation
    • IBM
    • Intel Corporation
    • Siemens
    • GENERAL ELECTRIC
    • Google LLC
    • Microsoft
    • Micron Technology, Inc.
    • Sight Machine
    • Oracle
    • Cisco Systems, Inc.
    • SAP
    • Bright Machines, Inc.
    • Mitsubishi Electric Corporation
    • General Vision Inc.
    • 其他的

第六章调查方法

简介目录
Product Code: DTA1999SA

Introduction to the AI in Manufacturing Market

AI is reshaping the manufacturing landscape by boosting productivity, efficiency, and data-driven decision-making. Automation of tasks through AI-powered robots not only streamlines operations but also enhances workplace safety. By freeing up human workers to focus on more complex activities, AI enables manufacturers to stay competitive in a rapidly evolving global market, paving the way for a more agile and responsive industry. Considering the optimistic scenario, the market is valued at $5.12 billion in 2024 and is expected to grow at a CAGR of 38.46% to reach $132.54 billion by 2034. The growth trend is chiefly driven by the requirement to manage increasingly intricate datasets and the advancements in machine learning algorithms and data analytics within the manufacturing sector.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$5.12 Billion
2034 Forecast$132.54 Billion
CAGR38.46%

Despite these positive drivers, the market faces hurdles such as skilled workforce availability, particularly in developing nations. However, leveraging AI, machine learning, and natural language processing (NLP) for smart enterprise processes presents lucrative opportunities for the expansion of AI in manufacturing sector. With AI and big data analytics, companies can swiftly analyze extensive structured and unstructured data from diverse sources. This enables them to identify anomalies, reduce maintenance expenses, enhance customer service, implement predictive and preventive maintenance measures, and leverage raw data for informed decision-making.

The AI in manufacturing market in the North America region is experiencing significant growth. Many countries in the North America region, including the U.S., Canada, and Mexico, have implemented policies and incentives to promote the adoption of AI. These policies typically include subsidies, tax incentives, and regulatory measures aimed at reducing emissions and promoting sustainable transportation solutions. The region's AI in manufacturing landscape is dynamic, featuring a mix of startups, research initiatives, and strategic collaborations among industry leaders. Currently, North America is leading the market. However, during the forecast period, the Asia-Pacific region is poised for substantial growth in the AI in manufacturing market. This growth is fueled by the rapid acceptance and integration of AI technologies across various manufacturing industries, leading to enhanced operational efficiency and innovative advancements.

Leading companies such as NVIDIA Corporation, IBM, and Intel Corporation are pioneering the way forward, providing a comprehensive array of AI products encompassing software, hardware, machine learning, computer vision, and natural language processing. The companies utilize AI to revolutionize manufacturing through solutions such as NVIDIA Metropolis, Isaac Sim, IBM's generative AI, and Intel's semiconductor optimization, enhancing efficiency and enabling data-driven decision-making. They also invest heavily in research and development to innovate new products.

Market Segmentation:

Segmentation 1: by End-Use Industry

  • Automotive
  • Medical Devices
  • Electronics
  • Energy and Power
  • Heavy Metals and Machine Manufacturing
  • Aerospace and Defense
  • Others

Segmentation 2: by Application

  • Assembly/Quality Testing
  • Product Development and Engineering
  • Procurement
  • Order Management
  • Maintenance
  • Logistics and Inventory Management
  • Others

Segmentation 3: by Component

  • Software
  • Hardware
  • Service

Segmentation 4: by Technology

  • Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Others

Segmentation 5: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

Key Market Players and Competition Synopsis

The companies that are profiled in the global AI in manufacturing market have been selected based on input gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

Some of the prominent companies in this market are:

  • IBM
  • Microsoft
  • Siemens
  • Nvidia Corporation
  • Google LLC

Key Questions Answered in this Report:

  • What are the main factors driving the demand for AI in manufacturing markets?
  • What are the major patents filed by the companies active in the AI in manufacturing markets?
  • Who are the key players in the AI in manufacturing markets, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the AI in manufacturing markets?
  • What are the strategies adopted by the key companies to gain a competitive edge in AI in manufacturing markets?
  • What is the futuristic outlook for the AI in manufacturing markets in terms of growth potential?
  • What is the current estimation of the AI in manufacturing markets, and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • What could be the impact of growing end-use industries in the AI in manufacturing markets?
  • Which regions demonstrate the highest adoption rates for AI in manufacturing markets, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 Regulatory Landscape
  • 1.4 Stakeholder Analysis
    • 1.4.1 Use Case
    • 1.4.2 End User and Buying Criteria
  • 1.5 Impact Analysis for Key Global Events
  • 1.6 Market Dynamics Overview
    • 1.6.1 Market Drivers
    • 1.6.2 Market Restraints
    • 1.6.3 Market Opportunities

2. AI in Manufacturing (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 AI in Manufacturing Market (by End-Use Industry)
    • 2.3.1 Automotive
    • 2.3.2 Medical Devices
    • 2.3.3 Electronics
    • 2.3.4 Energy & Power
    • 2.3.5 Heavy Metals & Machine Manufacturing
    • 2.3.6 Aerospace & Defence
    • 2.3.7 Others
  • 2.4 AI in Manufacturing Market (by Application)
    • 2.4.1 Assembly/Quality Testing
    • 2.4.2 Product Development & Engineering
    • 2.4.3 Procurement
    • 2.4.4 Order Management
    • 2.4.5 Maintenance
    • 2.4.6 Logistics and Inventory Management
    • 2.4.7 Others

3. AI in Manufacturing (by Product)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 AI in Manufacturing (by Component)
    • 3.3.1 Software
    • 3.3.2 Hardware
    • 3.3.3 Service
  • 3.4 AI in Manufacturing (by Technology)
    • 3.4.1 Machine Learning
    • 3.4.2 Computer Vision
    • 3.4.3 Natural Language Processing (NLP)
    • 3.4.4 Others

4. Global AI in Manufacturing (by Region)

  • 4.1 AI in Manufacturing (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 South Korea
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 Nvidia Corporation
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 IBM
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Intel Corporation
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 Siemens
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 GENERAL ELECTRIC
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Google LLC
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 Microsoft
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 Micron Technology, Inc.
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 Sight Machine
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Oracle
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Cisco Systems, Inc.
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 SAP
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Bright Machines, Inc.
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Mitsubishi Electric Corporation
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 General Vision Inc.
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Others

6. Research Methodology