공급망용 인공지능 시장 : 세계 산업 규모, 점유율, 동향, 기회 및 예측 - 제공 형태별, 용도별, 최종사용자별, 지역별, 경쟁 구도별(2021-2031년)
Artificial Intelligence in Supply Chain Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By End-User, By Region & Competition, 2021-2031F
상품코드:1902118
리서치사:TechSci Research
발행일:2026년 01월
페이지 정보:영문 181 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 공급망용 인공지능 시장은 2025년 185억 5,000만 달러에서 2031년까지 1,052억 9,000만 달러로, CAGR 33.56%로 성장할 것으로 예측됩니다. 공급망용 인공지능은 머신러닝과 예측분석을 적용하여 물류 자동화와 전략적 의사결정을 강화하는 것을 말합니다.
시장 개요
예측 기간
2027-2031년
시장 규모 : 2025년
185억 5,000만 달러
시장 규모 : 2031년
1,052억 9,000만 달러
CAGR : 2026-2031년
33.56%
가장 빠르게 성장하는 부문
서비스
최대 시장
북미
주요 시장 성장 촉진요인
업무 효율성과 비용 절감에 대한 수요 증가는 전 세계 물류 네트워크에서 인공지능의 통합을 촉진하는 주요 요인으로 작용하고 있습니다. 기업은 머신러닝 알고리즘을 활용하여 인력 소모적인 프로세스의 자동화, 재고 배치의 최적화, 예지보전 스케줄의 정교화를 추진함으로써 다운타임과 업무 낭비를 최소화하고 있습니다.
주요 시장 과제
첨단 인공지능 알고리즘과 파편화된 레거시 인프라의 통합은 시장 성장에 큰 장벽으로 작용하고 있습니다. 많은 공급망 조직은 현대의 머신러닝 플랫폼과 효과적으로 연동되지 않는 구식 사일로 시스템에서 운영되고 있습니다.
주요 시장 동향
생성형 AI의 통합은 공급망 관리의 혁신적 전환점으로, 기존의 예측 분석을 넘어 첨단 리스크 시뮬레이션과 자율적 의사결정을 가능하게 합니다. 구조화된 데이터세트에 의존하는 레거시 시스템과 달리, 이러한 툴은 계약서, 시장 보고서와 같은 방대한 비정형 정보를 처리하고 복잡한 문제 해결을 위한 실행 가능한 시나리오를 생성할 수 있습니다.
목차
제1장 개요
제2장 조사 방법
제3장 개요
제4장 고객의 소리
제5장 세계의 공급망용 인공지능 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
제공 형태별(하드웨어, 소프트웨어, 서비스)
용도별(플릿 관리, 공급망 계획)
최종사용자별(자동차, 소매, 기타)
지역별
기업별(2025)
시장 맵
제6장 북미의 공급망용 인공지능 시장 전망
시장 규모·예측
시장 점유율·예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 공급망용 인공지능 시장 전망
시장 규모·예측
시장 점유율·예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 공급망용 인공지능 시장 전망
시장 규모·예측
시장 점유율·예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 공급망용 인공지능 시장 전망
시장 규모·예측
시장 점유율·예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트
남아프리카공화국
제10장 남미의 공급망용 인공지능 시장 전망
시장 규모·예측
시장 점유율·예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
촉진요인
과제
제12장 시장 동향과 발전
합병·인수
제품 출시
최근 동향
제13장 세계의 공급망용 인공지능 시장 : SWOT 분석
제14장 Porter's Five Forces 분석
업계내 경쟁
신규 참여의 가능성
공급업체의 힘
고객의 힘
대체품의 위협
제15장 경쟁 구도
IBM Corporation
SAP SE
Oracle Corporation
Microsoft Corporation
Amazon Web Services, Inc.
Google LLC
Cisco Systems, Inc
Intel Corporation
Accenture plc
Kinaxis Inc
제16장 전략적 제안
제17장 조사회사 소개·면책사항
KSA
영문 목차
영문목차
The Global Artificial Intelligence in Supply Chain Market will grow from USD 18.55 Billion in 2025 to USD 105.29 Billion by 2031 at a 33.56% CAGR. Artificial intelligence in the supply chain refers to the application of machine learning and predictive analytics to automate logistics and enhance strategic decision-making.
Market Overview
Forecast Period
2027-2031
Market Size 2025
USD 18.55 Billion
Market Size 2031
USD 105.29 Billion
CAGR 2026-2031
33.56%
Fastest Growing Segment
Services
Largest Market
North America
Key Market Drivers
The rising demand for operational efficiency and cost reduction acts as a primary catalyst for the integration of artificial intelligence within global logistics networks. Organizations are increasingly leveraging machine learning algorithms to automate labor-intensive processes, optimize inventory positioning, and refine predictive maintenance schedules, thereby minimizing downtime and operational waste.
Key Market Challenges
The integration of advanced artificial intelligence algorithms with fragmented legacy infrastructure presents a formidable barrier to market growth. Many supply chain organizations operate on outdated, siloed systems that cannot effectively communicate with modern machine learning platforms. This incompatibility leads to severe data quality issues, as disparate sources generate unstructured or inconsistent information that AI models cannot process accurately. Consequently, companies struggle to derive the actionable insights necessary for predictive analytics, rendering their investment in intelligent automation less effective and slowing the overall pace of digital transformation.
Key Market Trends
The integration of Generative AI represents a transformative shift in supply chain management, moving beyond traditional predictive analytics to enable advanced risk simulation and autonomous decision-making. Unlike legacy systems that rely on structured datasets, these tools can process vast amounts of unstructured information, such as contracts and market reports, to generate actionable scenarios for complex problem-solving. This capability allows organizations to simulate potential disruptions and automatically generate mitigation strategies, significantly reducing the reliance on manual contingency planning.
Key Market Players
IBM Corporation
SAP SE
Oracle Corporation
Microsoft Corporation
Amazon Web Services, Inc.
Google LLC
Cisco Systems, Inc
Intel Corporation
Accenture plc
Kinaxis Inc
Report Scope:
In this report, the Global Artificial Intelligence in Supply Chain Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Artificial Intelligence in Supply Chain Market, By Offering:
Hardware
Software
Services
Artificial Intelligence in Supply Chain Market, By Application:
Fleet Management
Supply Chain Planning
Artificial Intelligence in Supply Chain Market, By End-User:
Automotive
Retail
Others
Artificial Intelligence in Supply Chain Market, By Region:
North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence in Supply Chain Market.
Available Customizations:
Global Artificial Intelligence in Supply Chain Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. Global Artificial Intelligence in Supply Chain Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Offering (Hardware, Software, Services)
5.2.2. By Application (Fleet Management, Supply Chain Planning)
5.2.3. By End-User (Automotive, Retail, Others)
5.2.4. By Region
5.2.5. By Company (2025)
5.3. Market Map
6. North America Artificial Intelligence in Supply Chain Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Offering
6.2.2. By Application
6.2.3. By End-User
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence in Supply Chain Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Offering
6.3.1.2.2. By Application
6.3.1.2.3. By End-User
6.3.2. Canada Artificial Intelligence in Supply Chain Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Offering
6.3.2.2.2. By Application
6.3.2.2.3. By End-User
6.3.3. Mexico Artificial Intelligence in Supply Chain Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Offering
6.3.3.2.2. By Application
6.3.3.2.3. By End-User
7. Europe Artificial Intelligence in Supply Chain Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Offering
7.2.2. By Application
7.2.3. By End-User
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence in Supply Chain Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Offering
7.3.1.2.2. By Application
7.3.1.2.3. By End-User
7.3.2. France Artificial Intelligence in Supply Chain Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Offering
7.3.2.2.2. By Application
7.3.2.2.3. By End-User
7.3.3. United Kingdom Artificial Intelligence in Supply Chain Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Offering
7.3.3.2.2. By Application
7.3.3.2.3. By End-User
7.3.4. Italy Artificial Intelligence in Supply Chain Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Offering
7.3.4.2.2. By Application
7.3.4.2.3. By End-User
7.3.5. Spain Artificial Intelligence in Supply Chain Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Offering
7.3.5.2.2. By Application
7.3.5.2.3. By End-User
8. Asia Pacific Artificial Intelligence in Supply Chain Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Offering
8.2.2. By Application
8.2.3. By End-User
8.2.4. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Artificial Intelligence in Supply Chain Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Offering
8.3.1.2.2. By Application
8.3.1.2.3. By End-User
8.3.2. India Artificial Intelligence in Supply Chain Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Offering
8.3.2.2.2. By Application
8.3.2.2.3. By End-User
8.3.3. Japan Artificial Intelligence in Supply Chain Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Offering
8.3.3.2.2. By Application
8.3.3.2.3. By End-User
8.3.4. South Korea Artificial Intelligence in Supply Chain Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Offering
8.3.4.2.2. By Application
8.3.4.2.3. By End-User
8.3.5. Australia Artificial Intelligence in Supply Chain Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Offering
8.3.5.2.2. By Application
8.3.5.2.3. By End-User
9. Middle East & Africa Artificial Intelligence in Supply Chain Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Offering
9.2.2. By Application
9.2.3. By End-User
9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Artificial Intelligence in Supply Chain Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Offering
9.3.1.2.2. By Application
9.3.1.2.3. By End-User
9.3.2. UAE Artificial Intelligence in Supply Chain Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Offering
9.3.2.2.2. By Application
9.3.2.2.3. By End-User
9.3.3. South Africa Artificial Intelligence in Supply Chain Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Offering
9.3.3.2.2. By Application
9.3.3.2.3. By End-User
10. South America Artificial Intelligence in Supply Chain Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Offering
10.2.2. By Application
10.2.3. By End-User
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Artificial Intelligence in Supply Chain Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Offering
10.3.1.2.2. By Application
10.3.1.2.3. By End-User
10.3.2. Colombia Artificial Intelligence in Supply Chain Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Offering
10.3.2.2.2. By Application
10.3.2.2.3. By End-User
10.3.3. Argentina Artificial Intelligence in Supply Chain Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Offering
10.3.3.2.2. By Application
10.3.3.2.3. By End-User
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. Global Artificial Intelligence in Supply Chain Market: SWOT Analysis
