首頁 > 市場調查報告書 > 工業機械

人工智能

市場調查報告書

商品編碼

1504907

製造業人工智慧市場規模、佔有率和成長分析：按組件、按技術、按應用、按最終用戶、按地區 - 行業預測，2024-2031 年

Artificial Intelligence in Manufacturing Market Size, Share, Growth Analysis, By Component, By Device Type, By End User, By Region - Industry Forecast 2024-2031

出版日期: 2024年06月23日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022 年製造業人工智慧的市場規模預計為25.8 億美元，預計到2031 年將達到646.3 億美元，高於2023 年的32 億美元，預測期（2024-2031 年）複合年成長率預計為45.6 。

近年來，在廣泛採用先進技術來最佳化和改進製造流程的推動下，製造業市場的人工智慧經歷了顯著成長。人工智慧在該領域的應用涵蓋預測性維護、品管、供應鏈最佳化和即時監控。隨著製造商努力提高效率、降低成本並保持競爭力，整合人工智慧技術變得至關重要。該市場包括針對製造業特定需求量身定做的各種解決方案，包括機器學習、電腦視覺和自然語言處理。工業 4.0 的趨勢強調了技術對全球工業格局的變革性影響，特別是在製造業中，透過資料分析、自動化和智慧系統整合來提高業務效率。

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 義大利
- 西班牙
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲 (MEA)
- 海灣合作理事會國家
- 南非
- 其他中東/非洲地區

競爭格局

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市集活動
主要企業市場佔有率（2023年）

主要企業簡介

Amazon Web Services（Seattle）
Cisco Systems Inc（San Jose）
General Electric Company（Boston）
Google LLC（Alphabet Inc.）（Mountain View）
IBM Corporation（Armonk）
Intel Corporation（Santa Clara）
Microsoft Corporation（Redmond）
Mitsubishi Electric Corporation（Tokyo）
NVIDIA Corporation（Santa Clara）
Oracle Corporation（Austin）
Rethink Robotics（Boston）
Rockwell Automation Inc（Milwaukee）
SAP SE（Walldorf）

簡介目錄

Product Code: SQMIG45D2099

Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 2.58 Billion in 2022 and is expected to grow from USD 3.20 Billion in 2023 to reach USD 64.63 Billion by 2031, at a CAGR of 45.6% during the forecast period (2024-2031).

The market for Artificial Intelligence (AI) in manufacturing has experienced significant growth recently, fuelled by the widespread adoption of advanced technologies aimed at optimizing and refining manufacturing processes. Applications of AI in this sector span predictive maintenance, quality control, supply chain optimization, and real-time monitoring. As manufacturers strive to enhance efficiency, reduce costs, and maintain competitiveness, integrating AI technologies has become crucial. This market encompasses diverse solutions such as machine learning, computer vision, and natural language processing, tailored to meet the specific needs of manufacturing. The trend towards Industry 4.0 underscores the transformative impact of technology on global business landscapes, particularly in enhancing operational efficiency through data analytics, automation, and smart system integration within manufacturing.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in Manufacturing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence (AI) in Manufacturing Market Segmental Analysis

Artificial Intelligence (AI) in manufacturing market is segmented into several key categories, reflecting its comprehensive scope and varied applications. By Component, the market is divided into hardware, software, and services. By Technology, the market includes machine learning (ML), computer vision, context awareness, and natural language processing (NLP). In Application, AI in manufacturing is applied to material movement, predictive maintenance and machinery inspection, production planning, field services, quality control and reclamation, and others. By End User, the market serves various industries, including semiconductors and electronics, energy and power, medical devices, automobiles, heavy metal and machine manufacturing, and others.

Drivers of the Artificial Intelligence (AI) in Manufacturing Market

Automation leverages advanced technology to execute tasks with enhanced accuracy, efficiency, and uniformity, resulting in heightened productivity and minimized labour expenditures. AI-driven robotics and autonomous systems are fundamentally transforming conventional manufacturing techniques by simplifying repetitive operations, maximizing the efficient use of resources, and facilitating instantaneous decision-making processes. In today's industrial landscape, automation plays a pivotal role in enhancing operational efficiencies across various sectors. By harnessing AI-powered robotics and autonomous systems, businesses can achieve higher levels of precision and speed in their production processes. This technological integration not only reduces manual labour costs but also optimizes resource allocation, thereby fostering a more sustainable and competitive manufacturing environment. Moreover, the ability of these systems to make real-time decisions based on vast datasets enhances overall agility and responsiveness, ensuring businesses can adapt swiftly to dynamic market demands. Ultimately, automation represents a transformative shift towards more efficient, cost-effective, and adaptable industrial practices in the modern era.

Restraints in the Artificial Intelligence (AI) in Manufacturing Market

Implementing AI in manufacturing typically involves substantial financial investments, such as acquiring AI tools, upgrading networks, modifying production lines, and training personnel. These initial costs can be prohibitive for many organizations, especially smaller companies and SMEs, hindering their ability to adopt AI solutions. These financial commitments are necessary to integrate AI seamlessly into existing manufacturing processes, ensuring efficiency gains and competitive advantages. However, the challenge lies in balancing the upfront expenditures with long-term benefits, which may deter smaller enterprises despite the potential for enhanced productivity and innovation that AI promises in the manufacturing sector.

Market Trends of Artificial Intelligence (AI) in Manufacturing Market

The AI market is increasingly driven by specialized hardware, a crucial trend influencing supply-side dynamics. Such hardware is designed specifically to accelerate the execution of AI applications while optimizing energy consumption. Examples include Lisp machines, neuromorphic engineering, event cameras, and physical neural networks, each catering to distinct AI functionalities. Semiconductor firms are strategically adjusting their strategies to align with market needs, aiming to ensure seamless integration across different layers of the technology stack.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Key Success Factors of The Market
Degree Of Competition
Patent Analysis
Regulatory Analysis
Technology Analysis
Top Investment Pockets
Market Attractive Index
Ecosystem Mapping

Global Artificial Intelligence (AI) in Manufacturing Market by Component

Market Overview
Hardware
Software
Services

Global Artificial Intelligence (AI) in Manufacturing Market by Technology

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

Global Artificial Intelligence (AI) in Manufacturing Market by Application

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

Global Artificial Intelligence (AI) in Manufacturing Market by End User

Market Overview
Semiconductor & Electronics
Energy & Power
Medical devices
Automobile
Heavy Metal & Machine Manufacturing
Others

Global Artificial Intelligence (AI) in Manufacturing Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Amazon Web Services (Seattle)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cisco Systems Inc (San Jose)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Electric Company (Boston)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google LLC (Alphabet Inc.) (Mountain View)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation (Armonk)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (Santa Clara)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Corporation (Redmond)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Mitsubishi Electric Corporation (Tokyo)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation (Santa Clara)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle Corporation (Austin)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Rethink Robotics (Boston)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Rockwell Automation Inc (Milwaukee)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP SE (Walldorf)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments