1. Big Data Market with Focus on Supply Chain Management – Overview
1.1. Definitions and Scope
2. Big Data Market with Focus on Supply Chain Management – Executive summary
2.1. Market Revenue, Market Size and Key Trends by Company
2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography
3. Big Data Market with Focus on Supply Chain Management
3.1. Comparative analysis
3.1.1. Product Benchmarking – Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis – Top 10 companies
3.1.5. Pricing Analysis
4. Big Data Market with Focus on Supply Chain Management Forces
4.1. Drivers
4.2. Constraints
4.3. Challenges
4.4. Porters five force model
4.4.1. Bargaining power of suppliers
4.4.2. Bargaining powers of customers
4.4.3. Threat of new entrants
4.4.4. Rivalry among existing players
4.4.5. Threat of substitutes
5. Big Data Market with Focus on Supply Chain Management – Strategic analysis
5.1. Value chain analysis
5.2. Opportunities analysis
5.3. Product life cycle
5.4. Suppliers and distributors Market Share
6. Big Data Market with Focus on Supply Chain Management – By Data Type (Market Size -$Million / $Billion)
6.1. Market Size and Market Share Analysis
6.2. Application Revenue and Trend Research
6.3. Product Segment Analysis
6.3.1. Structured Data
6.3.2. Unstructured Data
7. Big Data Market with Focus on Supply Chain Management – By Analytics (Market Size -$Million / $Billion)
7.1. Integrated Business planning
7.1.1. Product Planning
7.1.2. Demand Planning
7.1.3. Supply Planning
7.1.4. Scenario Planning
7.1.5. Executive integrated business Planning
7.2. Strategic sourcing
7.2.1. Sourcing support
7.2.2. Procurement market
7.2.3. Commercial Support
7.2.4. Supplier Management
7.3. Optimization of Manufacturing Sources
7.3.1. Operation time reduction
7.3.2. Manufacturing Quality improvement
7.3.3. Manufacturing productivity improvement
7.3.4. Manufacturing center of excellence
7.4. Logstics planning
7.4.1. Network design and optimization of logistics
7.4.2. Transportation network
7.4.3. Distribution center/ Warehouse
7.4.4. Carrier sourcing
7.5. Customer Interface
8. Big Data Market with Focus on Supply Chain Management – By Technology (Market Size -$Million / $Billion)
8.1. Internet of Things (IoT)
8.2. Cloud Computing
9. Big Data Market with Focus on Supply Chain Management – By Application (Market Size -$Million / $Billion)
9.1. Order Management
9.2. Demand Planning
9.3. Tactical supply planning
9.4. Transportation Planning
9.5. Ware house Management
9.6. Others
10. Big Data Market with Focus on Supply Chain Management – By Geography (Market Size -$Million / $Billion)
10.1. Big Data Market with Focus on Supply Chain Management Market – North America Segment Research
10.2. North America Market Research (Million / $Billion)
10.2.1. Segment type Size and Market Size Analysis
10.2.2. Revenue and Trends
10.2.3. Application Revenue and Trends by type of Application
10.2.4. Company Revenue and Product Analysis
10.2.5. North America Product type and Application Market Size
10.2.5.1. U.S.
10.2.5.2. Canada
10.2.5.3. Mexico
10.2.5.4. Rest of North America
10.3. Big Data Market with Focus on Supply Chain Management – South America Segment Research
10.4. South America Market Research (Market Size -$Million / $Billion)
10.4.1. Segment type Size and Market Size Analysis
10.4.2. Revenue and Trends
10.4.3. Application Revenue and Trends by type of Application
10.4.4. Company Revenue and Product Analysis
10.4.5. South America Product type and Application Market Size
10.4.5.1. Brazil
10.4.5.2. Venezuela
10.4.5.3. Argentina
10.4.5.4. Ecuador
10.4.5.5. Peru
10.4.5.6. Colombia
10.4.5.7. Costa Rica
10.4.5.8. Rest of South America
10.5. Big Data Market with Focus on Supply Chain Management – Europe Segment Research
10.6. Europe Market Research (Market Size -$Million / $Billion)
10.6.1. Segment type Size and Market Size Analysis
10.6.2. Revenue and Trends
10.6.3. Application Revenue and Trends by type of Application
10.6.4. Company Revenue and Product Analysis
10.6.5. Europe Segment Product type and Application Market Size
10.6.5.1. U.K
10.6.5.2. Germany
10.6.5.3. Italy
10.6.5.4. France
10.6.5.5. Netherlands
10.6.5.6. Belgium
10.6.5.7. Spain
10.6.5.8. Denmark
10.6.5.9. Rest of Europe
10.7. Big Data Market with Focus on Supply Chain Management – APAC Segment Research
10.8. APAC Market Research (Market Size -$Million / $Billion)
10.8.1. Segment type Size and Market Size Analysis
10.8.2. Revenue and Trends
10.8.3. Application Revenue and Trends by type of Application
10.8.4. Company Revenue and Product Analysis
10.8.5. APAC Segment – Product type and Application Market Size
10.8.5.1. China
10.8.5.2. Australia
10.8.5.3. Japan
10.8.5.4. South Korea
10.8.5.5. India
10.8.5.6. Taiwan
10.8.5.7. Malaysia
11. Big Data Market with Focus on Supply Chain Management – Entropy
11.1. New product launches
11.2. M&A’s, collaborations, JVs and partnerships
12. Big Data Market with Focus on Supply Chain Management Company Analysis
12.1. Market Share, Company Revenue, Products, M&A, Developments
12.2. Walmart
12.3. Nestle
12.4. Unilever partnership Organization
12.5. Company 4
12.6. Company 5
12.7. Company 6
12.8. Company 7
12.9. Company 8
12.10. Company 9
12.11. Company 10 and More
“*Financials would be provided on a best efforts basis for private companies”
13. Big Data Market with Focus on Supply Chain Management – Appendix
13.1. Abbreviations
13.2. Sources
14. Big Data Market with Focus on Supply Chain Management – Methodology
14.1. Research Methodology
14.1.1. Company Expert Interviews
14.1.2. Industry Databases
14.1.3. Associations
14.1.4. Company News
14.1.5. Company Annual Reports
14.1.6. Application Trends
14.1.7. New Products and Product database
14.1.8. Company Transcripts
14.1.9. R&D Trends
14.1.10. Key Opinion Leaders Interviews
14.1.11. Supply and Demand Trends
IndustryARC
I 기본 3,500,000원부터~
Report Description
Overview
빅 데이터는 공급망 관리에서 데이터 기반 의사결정을 가능하게 하며, 수요 예측, 재고 최적화 및 물류 관리에서 중요한 역할을 합니다. 기업은 빅 데이터를 활용하여 운영 효율성을 개선하고 비용을 절감하고 있습니다.
Segment
이 시장은 데이터 유형에 따라 구조화 데이터(Structured Data)와 비구조화 데이터(Unstructured Data)로 나뉩니다. 분석 유형은 통합 비즈니스 계획(Product Planning, Demand Planning), 전략적 소싱(Strategic Sourcing), 제조 최적화, 물류 계획(Logistics Planning) 등으로 구성됩니다. 기술별로는 사물인터넷(IoT), 클라우드 컴퓨팅(Cloud Computing)으로 세분화되며, 응용 분야는 주문 관리, 운송 계획, 수요 계획 등으로 나뉩니다. 지역별로는 북미, 유럽, APAC, 남미, 기타 지역으로 나뉩니다.
Key Takeaways
빅 데이터는 공급망 내 다양한 프로세스를 통합 및 최적화하며, 특히 전 세계적인 물류와 운영에서 새로운 가치 창출의 중심에 있습니다.