AI In Manufacturing Global Market Opportunities And Strategies To 2033
상품코드:1480372
리서치사:The Business Research Company
발행일:2024년 05월
페이지 정보:영문 290 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 제조업용 AI 시장은 2018년에 8억 6,590만 달러로 평가되며, 2023년까지 CAGR 27.0% 이상으로 성장했습니다.
산업용 로봇의 보급
역사적 기간에 산업용 로봇의 광범위한 채택이 제조업용 AI 시장의 확대를 추진했습니다. 산업용 로봇은 조립, 용접, 도장, 자재 취급 등 제조 및 산업 환경에서 기존에 사람이 수행하던 작업을 수행하도록 설계된 프로그래밍 가능한 기계를 말합니다. 산업용 로봇의 도입이 급증하는 배경에는 기술 발전, 생산성 및 효율성 향상을 위한 자동화 수요 증가, 장기적인 비용 효율성 등의 요인이 있습니다. 산업용 로봇은 자율 동작, 적응형 학습, 실시간 의사결정 등의 작업을 위한 고급 알고리즘을 통해 제조업에서 AI를 활용하여 효율성과 생산성을 최적화합니다. 독일에 본부를 둔 비영리 단체인 국제로봇연맹은 2021년에 세계의 공장에 도입되는 산업용 로봇의 신규 도입 대수가 51만 7,385대로, 전년대비 31% 증가했으며, 팬데믹 이전인 2018년의 도입 기록을 22% 웃돌며 사상 최고를 기록했다고 보고하고 있습니다. 따라서 산업용 로봇의 보급이 제조업용 AI 시장의 성장을 촉진했습니다.
목차
제1장 주요 요약
제조업용 AI - 시장의 매력과 거시경제 상황
제2장 목차
제3장 표 리스트
제4장 도표 리스트
제5장 리포트 구성
제6장 시장의 특징
일반적인 시장의 정의
개요
제조업용 AI 시장 정의와 세분화
제공별 : 시장 세분화
하드웨어
소프트웨어
서비스
기술별 : 시장 세분화
기계학습
자연언어처리
상황 인식 컴퓨팅
컴퓨터 비전
도입별 : 시장 세분화
온프레미스
클라우드
업계별 : 시장 세분화
자동차
에너지와 전력
반도체와 전자기기
제약
중금속과 기계 제조
식품 및 음료
기타 업계
제7장 주요 시장 동향
제조 효율을 높이는 혁신적인 AI 서비스
제조업무를 변혁하는 비주얼 AI 솔루션의 진보
제조업의 경쟁력을 변혁하는 혁신적인 AI 검사 소프트웨어
제조업에서 예지보전을 위한 혁신적인 AI 솔루션
전략적 협업에 의한 혁신의 촉진
제8장 제조업용 AI 시장 : 거시경제 시나리오
COVID-19의 영향 : 제조업용 AI 시장
우크라이나 전쟁의 영향 : 제조업용 AI 시장
고인플레이션의 영향 : 제조업용 AI 시장
제9장 세계 시장 규모와 성장
시장 규모
시장 성장 실적, 2018-2023
시장 촉진요인 2018-2023
시장 억제요인 2018-2023
시장 성장 예측, 2023-2028, 2033F
시장 촉진요인 2023-2028
시장 억제요인 2023-2028
제10장 세계의 제조업용 AI 시장 : 세분화
세계의 제조업용 AI 시장 : 제공별, 실적과 예측, 2018-2023, 2028F, 2033F
세계의 제조업용 AI 시장 : 기술별, 실적과 예측, 2018-2023, 2028F, 2033F
세계의 제조업용 AI 시장 : 도입별, 실적과 예측, 2018-2023, 2028F, 2033F
세계의 제조업용 AI 시장 : 업계별, 실적과 예측, 2018-2023, 2028F, 2033F
제11장 제조업용 AI 시장 : 지역·국가별 분석
세계의 제조업용 AI 시장 : 지역별, 실적과 예측, 2018-2023, 2028F, 2033F
세계의 제조업용 AI 시장 : 국가별, 실적과 예측, 2018-2023, 2028F, 2033F
AI in manufacturing refers to the integration and utilization of artificial intelligence (AI) technologies within the manufacturing sector to enhance various processes and operations. This integration involves the use of advanced algorithms, machine learning techniques, robotics, and data analytics to optimize manufacturing processes, improve efficiency, quality and productivity, and enable predictive maintenance and smart decision-making.
The AI in manufacturing market consists of revenues earned by entities (organizations, sole traders and partnerships) by using AI technology in providing related services and solutions, such as predictive maintenance, quality control, supply chain optimization, demand forecasting, autonomous robots, process optimization and adaptive manufacturing.
The global AI in manufacturing market was valued at $865.9 million in 2018 which grew till 2023 at a compound annual growth rate (CAGR) of more than 27.0%.
Widespread Adoption Of Industrial Robots
During the historic period, the widespread adoption of industrial robots propelled the expansion of the AI in manufacturing market. Industrial robots refer to programmable machines that are designed to perform tasks traditionally carried out by human workers in manufacturing and industrial settings, such as assembly, welding, painting and material handling. The surge in the adoption of industrial robots is driven by factors such as technological advancements, increasing demand for automation to enhance productivity and efficiency and cost-effectiveness in the long term. Industrial robots utilize AI in manufacturing through advanced algorithms for tasks such as autonomous operation, adaptive learning and real-time decision-making, optimizing efficiency and productivity. The International Federation of Robotics, a Germany-based non-profit organization, reported a record high of 517,385 new industrial robots installed in factories globally in 2021, representing a 31% year-on-year growth and exceeding the pre-pandemic 2018 installation record by 22%. Therefore, the widespread adoption of industrial robots drove the growth of the Al in manufacturing market.
Advancements In Visual AI Solutions Transforming Manufacturing Operations
AI in manufacturing solution providers are focusing on developing next-generation visual AI solutions to enhance automation, quality control and predictive maintenance processes. Visual AI solutions enhance manufacturing processes by automating quality control, improving inspection accuracy and optimizing production efficiency through image recognition and analysis. For instance, in February 2023, Leela Al, a US-based software development company, launched the Leela Platform, a commonsense visual Al platform, to improve manufacturing output. It enables manufacturers to uncover insights beyond Industrial Internet of Things (IIoT) sensor analytics, facilitating productivity comparisons across shifts, workstations and locations, pinpointing bottlenecks and identifying optimal practices. Industrial engineers, C-level officers and line supervisors stand to benefit from its capabilities, which include real-time monitoring of frontline activities involving equipment, machinery, parts and products, effectively functioning as an ongoing time-and-motion study.
The global AI in manufacturing market is concentrated, with a few large players operating in the market. The top ten competitors in the market made up to 49.7% of the total market in 2022.
AI In Manufacturing Global Market Opportunities And Strategies To 2033 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI in manufacturing market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for AI in manufacturing? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in manufacturing market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI in manufacturing market; and compares it with other markets.
The report covers the following chapters
Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by offering, by technology, by deployment and by industry.
Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
Macro-Economic Scenario- The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI in manufacturing market.
Global Market Size And Growth- Global historic (2018-2023) and forecast (2023-2028, 2033F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
Regional And Country Analysis - Historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison by region and country.
Market Segmentation- Contains the market values (2018-2023) (2023-2028, 2033F) and analysis for each segment by offering, By technology, by deployment and by industry in the market. Historic (2018-2023) and forecast (2023-2028) and (2028-2033) market values and growth and market share comparison by region market.
Regional Market Size and Growth- Regional market size (2023), historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
Competitive Dashboard- Briefs on competitive dashboard of major players.
Key Mergers And Acquisitions - Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
Market Opportunities and Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
Conclusions And Recommendations- This section includes recommendations for AI in manufacturing providers in terms of product/service offerings geographic expansion, marketing strategies and target groups next five years.
Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Offering: Hardware; Software; Services
2) By Technology: Machine Learning; Natural Language Processing; Context Aware Computing; Computer Vision
3) By Industry: Automobile; Energy And Power; Semiconductor And Electronics; Pharmaceuticals; Heavy Metal And Machine Manufacturing; Food And Beverage; Other Industries
4) By Deployment: Cloud; On-Premise
Companies Mentioned: International Business Machines Corporation;MicrosoftCorporation;Amazon.com, Inc.; Oracle Corporation; Siemens AG
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; Italy; Spain; UK; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time-series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI in manufacturing indicators comparison.
Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Table of Contents
1 Executive Summary
1.1 AI In Manufacturing - Market Attractiveness And Macro economic Landscape
2 Table Of Contents
3 List Of Tables
4 List Of Figures
5 Report Structure
6 Market Characteristics
6.1 General Market Definition
6.2 Summary
6.3 AI In Manufacturing Market Definition And Segmentation
6.4 Market Segmentation By Offering
6.4.1 Hardware
6.4.2 Software
6.4.3 Services
6.5 Market Segmentation By Technology
6.5.1 Machine Learning
6.5.2 Natural Language Processing
6.5.3 Context Aware Computing
6.5.4 Computer Vision
6.6 Market Segmentation By Deployment
6.6.1 On-Premise
6.6.2 Cloud
6.7 Market Segmentation By Industry
6.7.1 Automobile
6.7.2 Energy And Power
6.7.3 Semiconductor And Electronics
6.7.4 Pharmaceutical
6.7.5 Heavy Metal And Machine Manufacturing
6.7.6 Food And Beverage
6.7.7 Other Industries
7 Major Market Trends
7.1 Transformative AI Services For Enhanced Manufacturing Efficiency
7.2 Advancements In Visual AI Solutions Transforming Manufacturing Operations
7.3 Innovative AI Inspection Software Revolutionizing Manufacturing Competitiveness
7.4 Innovative AI Solutions for Predictive Maintenance In Manufacturing
7.5 Fostering Innovation Through Strategic Collaborations
8 AI In Manufacturing Market - Macro Economic Scenario
8.1 COVID-19 Impact On The AI In Manufacturing Market
8.2 Impact Of The War In Ukraine On The AI In Manufacturing Market
8.3 Impact Of High Inflation On The AI In Manufacturing Market
9 Global Market Size and Growth
9.1 Market Size
9.2 Historic Market Growth, 2018 - 2023, Value ($ Million)