Global AI in Manufacturing Market: Focus on End-Use Industry, Application, Technology, Component, and Region - Analysis and Forecast, 2024-2034
AI는 생산성, 효율성, 데이터 주도의 의사결정을 뒷받침함으로써 제조업의 전망을 재구성하고 있습니다.
AI를 탑재한 로봇에 의한 작업의 자동화는 업무를 합리화할 뿐만 아니라 직장의 안전성을 높입니다. 사람의 노동력을 보다 복잡한 작업에 집중함으로써 AI는 급속히 진화하는 시장에서 경쟁력을 유지하고 보다 민첩하고 대응력 있는 산업에 대한 길을 열고 있습니다.
낙관적 시나리오에서는 2024년 시장 규모가 51억 2,000만 달러를 기록했으며 복합 연간 성장률(CAGR) 38.46%로 추이했으며, 2034년에는 1,325억 4,000만 달러 규모로 성장할 것으로 예측됩니다. 이러한 성장 동향의 주요 요인은 점점 복잡해지는 데이터 세트를 관리할 필요성과 제조 부문에서 머신러닝 알고리즘과 데이터 분석의 진보입니다.
| 주요 시장 통계 |
| 예측 기간 |
2024년-2034년 |
| 2024년 평가액 |
51억 2,000만 달러 |
| 2034년 예측 |
1,325억 4,000만 달러 |
| 복합 연간 성장률(CAGR) |
38.46% |
이러한 시장 성장 촉진요인에도 불구하고, 시장은 특히 신흥국에서 능력있는 인재 확보 등의 장벽에 직면하고 있습니다. 그러나 스마트 비즈니스 프로세스를 위해 AI, 머신 러닝, 자연 언어 처리(NLP)를 활용하면 제조 AI를 확대하는 데 유리한 기회를 제공합니다. AI와 빅데이터 분석을 통해 기업은 다양한 소스로부터 광범위한 구조화 및 비구조화 데이터를 신속하게 분석할 수 있습니다. 이를 통해 기업은 이상을 파악하고, 유지보수 비용을 줄이고, 고객 서비스를 강화하고, 예지/예방 유지보수 조치를 시행하며, 정보를 기반으로 의사 결정을 위해 원시 데이터를 활용할 수 있습니다.
북미의 제조업을 위한 AI 시장은 큰 성장을 이루고 있습니다. 미국, 캐나다, 멕시코를 포함한 북미의 많은 국가에서는 AI 도입을 촉진하기 위한 정책과 인센티브를 실시했습니다. 이러한 정책은 보통 배출량을 줄이고 지속 가능한 운송 솔루션을 홍보하기 위한 보조금, 세금 우대 및 규제 조치를 포함합니다. 이 지역의 제조업을 위한 AI 정세는 역동적이며, 신흥기업, 연구 이니셔티브, 업계 리더간의 전략적 제휴가 혼재하고 있습니다. 북미가 현재 시장을 선도하고 있는 한편, 예측기간 중에는 아시아태평양이 대폭적인 성장을 이루려고 하고 있습니다. 이러한 성장은 다양한 제조업에서 AI 기술이 급속히 받아들여지고 통합되어 업무 효율의 향상과 혁신적인 진보로 이어지고 있는 것이 배경에 있습니다.
본 보고서에서는 세계 제조업용 AI 시장을 조사했으며, 업계 동향, 법규제 환경, 이용 사례, 시장 규모 추이와 예측, 각종 구분,지역/주요 국가별 상세 분석, 경쟁 구도, 주요 기업 프로파일 등을 정리했습니다.
목차
주요 요약
제1장 시장 : 업계 전망
- 동향 : 현재 및 미래의 영향 평가
- 공급망 개요
- 규제 상황
- 이해관계자 분석
- 주요 세계 이벤트의 영향 분석
- 시장 역학 개요
- 시장 성장 촉진요인
- 시장 성장 억제요인
- 시장 기회
제2장 제조업용 AI 시장 : 용도별
- 용도의 분류
- 용도 개요
- 제조업용 AI 시장 : 최종 사용자 산업별
- 자동차
- 의료기기
- 일렉트로닉스
- 에너지 및 전력
- 중금속 및 기계 제조
- 항공우주 및 방위
- 기타
- 제조업용 AI 시장 : 용도별
- 조립/품질시험
- 제품 개발,엔지니어링
- 조달
- 주문 관리
- 유지보수
- 물류,재고 관리
- 기타
제3장 제조업용 AI 시장 : 제품별
- 제품 분류
- 제품 개요
- 제조업용 AI 시장 : 컴포넌트별
- 제조업용 AI 시장 : 기술별
- 머신러닝
- 컴퓨터 비전
- 자연언어처리(NLP)
- 기타
제4장 제조업용 AI 시장 : 지역별
- 제조업용 AI 시장 : 지역별
- 북미
- 유럽
- 아시아태평양
- 기타 지역
제5장 기업 프로파일
- 다음 프론티어
- 지리적 평가
- 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.
- 기타
제6장 조사 방법
BJH
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 Period | 2024 - 2034 |
| 2024 Evaluation | $5.12 Billion |
| 2034 Forecast | $132.54 Billion |
| CAGR | 38.46% |
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
