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市场调查报告书
商品编码
1574150

製造业人工智慧市场 - 2024 年至 2029 年预测

Artificial Intelligence In Manufacturing Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 110 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

製造业人工智慧市场预计将以 44.68% 的复合年增长率扩张，从 2024 年的 119.42 亿美元增加到 2029 年的 757.04 亿美元。

全球製造业竞争日益激烈，人工智慧（AI）正在站稳脚步。该领域的竞争力量迫使产业参与者投入高额研发投资，并将新技术融入所有主要业务功能。机器视觉相机在检查、物料移动和现场服务等製造应用中的持续普及，将在推动製造业中人工智慧的崛起中发挥关键作用。

此外，製造业利用人工智慧的另一种创新方式是品管，其中人工智慧驱动的视觉检测系统可以轻鬆发现人眼难以看到的缺陷。这可以让您降低成本并保护您的品牌形象。此外，预测设备故障和维护需求的预测分析也受益于人工智慧。人工智慧在製造业的应用，例如优化能源使用、最大限度地减少废弃物以及遵守永续性准则，导致各行业对人工智慧的需求增加。

製造业人工智慧市场驱动因素

  • 最终用户产业对降低成本的日益关注预计将推动製造业对人工智慧的需求。

该市场的成长是由大多数製造业子部门迅速采用人工智慧以及市场参与者在研发方面的积极支出来推出新颖、有竞争力和创新的产品所推动的。现在，在奇点过后很久，公司就在製造设备和机械领域的人工智慧创新上投入了大量资金。结果，错误更少、反应时间更快、分配任务的准确性以及生产的系统性和永续优化得到了促进。

此外，人工智慧也因其与工业4.0的目标一致而在该领域获得认可。人工智慧在许多业务功能中的应用正在增加。此外，工业4.0在确保工厂资产安全的同时提高了产量并提高了工人的安全，使製造商能够以更低的成本和更短的前置作业时间生产个人化产品。所有这些都可能会增加未来几年製造业对人工智慧的需求。

人工智慧在製造业市场的地域展望：

  • 预计亚太地区将占据製造业市场人工智慧的主要份额。

由于该地区的公司积极采用新技术，预计亚太市场在预测期内将稳定成长。许多製造商正在使用自动化技术来增强其製造流程并扩大市场。该地区的成长在很大程度上得益于该地区资源丰富的行业参与者的大量投资。

此外，该地区充满活力的製造市场中的公司，尤其是中国和印度等存在大规模製造机会的国家，正在寻求透过采用基于人工智慧的新时代技术来优先考虑其生产线。此外，关于製造商必须满足的环境条件的政府法规日益严格，将鼓励公司采用永续形式的製成品，从而导致未来几年区域市场的成长。

为什么要购买这份报告？

  • 精闢的分析：
  • 。竞争格局：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户群、政府政策、社会经济因素、消费者偏好、产业和其他子区隔：
  • 市场驱动因素与未来趋势：
  • 可行的建议：
  • 迎合广泛的受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业来说有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司概况（尤其是关键市场开拓）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 全球製造业人工智慧市场：依提供

  • 介绍
  • 硬体
  • 软体
  • 服务

第六章 全球製造业人工智慧市场：依技术分类

  • 介绍
  • 自然语言处理
  • 机器学习
  • 深度学习
  • 影像识别
  • 其他的

第七章 全球製造业的人工智慧市场：依最终用户分类

  • 介绍
  • 车
  • 家电
  • 卫生保健
  • 食品/饮料
  • 其他的

第八章 全球製造业人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按报价
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按报价
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按报价
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按报价
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按报价
    • 依技术
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Hewlett Packard Enterprise
  • ABB
  • Emerson Electric Co.
  • Schneider Electric
  • Tripp Lite（Eaton）
  • Rittal GmbH & Co. KG
  • Raritan Inc.
  • Delta Electronics, Inc.
  • General Electric Company
简介目录
Product Code: KSI061612925

The Artificial Intelligence In Manufacturing Market is projected to expand at a growth rate of 44.68% CAGR to account for US$75.704 billion by 2029, up from US$11.942 billion in 2024.

The global manufacturing sector is becoming hyper-competitive, and artificial intelligence (AI) is establishing a strong foothold in the industry. This competitiveness in the sector is compelling industry players to indulge in high R&D investments and incorporate new technologies across all key business functions that will propel AI deployment in the manufacturing sector in the coming years. The continued popularity of machine vision cameras in manufacturing applications such as inspection, material movement, and field service will play a key role in propelling the rise of AI in the manufacturing industry.

Additionally, another innovative way manufacturing is using AI is in quality control, in which an AI-driven visual inspection system easily spots defects that are far harder for the human eye. This reduces costs and protects the brand image. Additionally, predictive analytics and maintenance requirements are also benefiting from AI as it predicts equipment failures. AI applications in manufacturing, such as optimizing energy use, minimizing waste, and fulfilling sustainability guidelines, lead to higher demand for AI across different sectors.

ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DRIVERS:

  • The increasing focus of end-user industries on reducing costs is anticipated to boost the demand for AI in manufacturing.

The rapid adoption of AI in most of its sub-sectors in the manufacturing industry and robust expenditure by the market players on research & development to launch novel, competitive, and innovative products are factors driving this market's growth. A long time out from singularity, companies are now spending a lot of money on AI innovations in manufacturing-related facilities and machinery. As a result, it facilitated fewer errors, shorter reaction times, accuracy in assigned tasks, and optimization of production systematically and sustainably.

Additionally, AI is gaining recognition in this sector, as it aligns with the goals of Industry 4.0. The application of AI has increased across many business functions. Further, Industry 4.0 has also increased production and enhanced worker safety while securing factory assets, resulting in manufacturers producing personalized products at reduced costs and shorter lead times. All this would add to the necessity for AI in manufacturing in the coming years.

Artificial Intelligence In Manufacturing Market Geographical Outlook:

  • The Asia Pacific region is expected to hold a substantial artificial intelligence in manufacturing market share.

The market in the Asia Pacific region has consistent growth potential during the forecast period due to the rampant adoption of newer technologies by companies in the region. Many manufacturers use automation technologies to enhance their manufacturing processes, expanding the market. The growth is largely backed by heavy investments poured into this region by the industry players due to their abundant resources.

Moreover, companies in this region's dynamic manufacturing market, notably in countries like China and India, where a large-scale manufacturing opportunity exists, are prioritizing and enhancing their production lines by adapting new-age technologies based on AI. Additionally, increasingly stringent government regulations regarding the environmental conditions to be met by manufacturers have driven companies to adopt sustainable forms of manufacturing products, leading to regional market growth in the coming years.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Global Artificial Intelligence In Manufacturing Market is segmented and analyzed as below:

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Natural language Processing
  • Machine Learning
  • Deep Learning
  • Image Recognition
  • Others

By End-User

  • Automotive
  • Consumer Electronics
  • Healthcare
  • Food & Beverage
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY OFFERING

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software
  • 5.4. Services

6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Natural Language Processing
  • 6.3. Machine Learning
  • 6.4. Deep Learning
  • 6.5. Image Recognition
  • 6.6. Others

7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Automotive
  • 7.3. Consumer Electronics
  • 7.4. Healthcare
  • 7.5. Food & Beverage
  • 7.6. Others

8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Offering
    • 8.2.2. By Technology
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Offering
    • 8.3.2. By Technology
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Offering
    • 8.4.2. By Technology
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Spain
      • 8.4.4.5. Italy
      • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Offering
    • 8.5.2. By Technology
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. Israel
      • 8.5.4.3. UAE
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Offering
    • 8.6.2. By Technology
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Thailand
      • 8.6.4.7. Indonesia
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Hewlett Packard Enterprise
  • 10.2. ABB
  • 10.3. Emerson Electric Co.
  • 10.4. Schneider Electric
  • 10.5. Tripp Lite (Eaton)
  • 10.6. Rittal GmbH & Co. KG
  • 10.7. Raritan Inc.
  • 10.8. Delta Electronics, Inc.
  • 10.9. General Electric Company