간편결제 가능보고서 주문 후, 연도 업데이트와 커스터마이징을 위해 당사에서 연락드릴 예정입니다.
상세 사항에 따라 가격이 변동될 수 있으니 참고 바랍니다.
기본 보고서는 영문으로 작성되며, PDF,PPT,DOCX(워드) 형식으로 제공 가능합니다.
보고서 전달 후에는 환불이 불가능하오니 양해 바랍니다.
평균 납기는 2주이며, 형식과 내용에 따라 달라질 수 있습니다.
요약
식품 및 음료 산업의 빅 데이터 시장. 식품 및 음료의 빅 데이터 시장은 2027 년까지 21 억 달러에이를 것으로 예상되며, 소비자 및 기계 데이터 개발의 급속한 증가로 인해 2022 년에서 2027 년 사이에 CAGR이 34.3% 증가 할 것으로 예상됩니다. 빅 데이터는 데이터 세트의 수집이 너무 크고 복잡하여 전통적인 방식으로 처리 할 수 없습니다
Summary
Big Data Market In Food & Beverages Industry. The market for Big Data In Food and Beverage is forecast to reach $2.1billion by 2027, growing at a CAGR of 34.3% from 2022 to 2027 due to rapid increase in consumer and machine data developments. Big Data is referred as the collection of data sets so large and complex that it is not possible to process it in traditional way
Table of Contents
1. Big Data In Food and Beverages Industry Market - Overview
1.1. Definitions and Scope
2. Big Data In Food and Beverages Industry Market - Executive summary
2.1. Market Revenue, Market Size and Key Trends by Company
2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography
3. Big Data In Food and Beverages Industry Market
3.1. Comparative analysis
3.1.1. Product Benchmarking - Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis - Top 10 companies
3.1.5. Pricing Analysis
4. Big Data In Food and Beverages Industry Market Forces
4.1. Drivers
4.2. Constraints
4.3. Challenges
4.4. Porters five force model
4.4.1. Bargaining power of suppliers
4.4.2. Bargaining powers of customers
4.4.3. Threat of new entrants
4.4.4. Rivalry among existing players
4.4.5. Threat of substitutes
5. Big Data In Food and Beverages Industry Market -Strategic analysis
5.1. Value chain analysis
5.2. Opportunities analysis
5.3. Product life cycle
5.4. Suppliers and distributors Market Share
6. Big Data In Food and Beverages Industry Market – By Deployment (Market Size -$Million / $Billion)
6.1. Market Size and Market Share Analysis
6.2. Application Revenue and Trend Research
6.3. Product Segment Analysis
6.3.1. Introduction
6.3.2. On-Premise
6.3.3. On Cloud
6.3.4. Hybrid
7. Big Data In Food and Beverages Industry Market – By Operations (Market Size -$Million / $Billion)
7.1. Procurement of Material
7.2. Production
7.3. Quality Control
7.4. Packaging
8. Big Data In Food and Beverages Industry Market – By Decision Making (Market Size -$Million / $Billion)
8.1. Pricing
8.2. Product Promotion
8.3. Product Development
8.4. Demand Forecasting
9. Big Data In Food and Beverages Industry Market – By Usage (Market Size -$Million / $Billion)
9.1. On-time Delivery
9.2. Operational Efficiency
9.3. Sentiment Analysis
9.4. Quality
9.5. Personalization
9.6. Market Basket Analysis
9.7. Customer Service
9.8. Suppliers and Distributers
10. Big Data In Food and Beverages Industry Market – By Application (Market Size -$Million / $Billion)
10.1. Manufacturers
10.2. Supply Chains
10.3. Restaurants Chains
10.4. Dairy and Food Farms
10.5. Agriculture
10.6. Wastage and Spoilage Control
10.7. Revenue
11. Big Data In Food and Beverages Industry Market – By Type (Market Size -$Million / $Billion)
11.1. Infrastructure
11.1.1. Storage Infrastructure
11.1.2. Network Infrastructure
11.2. Storage
11.2.1. Cloud Based
11.2.2. On-premise Based
12. Big Data In Food and Beverages Industry - By Geography (Market Size -$Million / $Billion)
12.1. Big Data In Food and Beverages Industry Market - North America Segment Research
12.2. North America Market Research (Million / $Billion)
12.2.1. Segment type Size and Market Size Analysis
12.2.2. Revenue and Trends
12.2.3. Application Revenue and Trends by type of Application
12.2.4. Company Revenue and Product Analysis
12.2.5. North America Product type and Application Market Size
12.2.5.1. U.S.
12.2.5.2. Canada
12.2.5.3. Mexico
12.2.5.4. Rest of North America
12.3. Big Data In Food and Beverages Industry - South America Segment Research
12.4. South America Market Research (Market Size -$Million / $Billion)
12.4.1. Segment type Size and Market Size Analysis
12.4.2. Revenue and Trends
12.4.3. Application Revenue and Trends by type of Application
12.4.4. Company Revenue and Product Analysis
12.4.5. South America Product type and Application Market Size
12.4.5.1. Brazil
12.4.5.2. Venezuela
12.4.5.3. Argentina
12.4.5.4. Ecuador
12.4.5.5. Peru
12.4.5.6. Colombia
12.4.5.7. Costa Rica
12.4.5.8. Rest of South America
12.5. Big Data In Food and Beverages Industry - Europe Segment Research
12.6. Europe Market Research (Market Size -$Million / $Billion)
12.6.1. Segment type Size and Market Size Analysis
12.6.2. Revenue and Trends
12.6.3. Application Revenue and Trends by type of Application
12.6.4. Company Revenue and Product Analysis
12.6.5. Europe Segment Product type and Application Market Size
12.6.5.1. U.K
12.6.5.2. Germany
12.6.5.3. Italy
12.6.5.4. France
12.6.5.5. Netherlands
12.6.5.6. Belgium
12.6.5.7. Spain
12.6.5.8. Denmark
12.6.5.9. Rest of Europe
12.7. Big Data In Food and Beverages Industry – APAC Segment Research
12.8. APAC Market Research (Market Size -$Million / $Billion)
12.8.1. Segment type Size and Market Size Analysis
12.8.2. Revenue and Trends
12.8.3. Application Revenue and Trends by type of Application
12.8.4. Company Revenue and Product Analysis
12.8.5. APAC Segment – Product type and Application Market Size
12.8.5.1. China
12.8.5.2. Australia
12.8.5.3. Japan
12.8.5.4. South Korea
12.8.5.5. India
12.8.5.6. Taiwan
12.8.5.7. Malaysia
13. Big Data In Food and Beverages Industry Market - Entropy
13.1. New product launches
13.2. M&A's, collaborations, JVs and partnerships
14. Big Data In Food and Beverages Industry Market Company Analysis
14.1. Market Share, Company Revenue, Products, M&A, Developments
14.2. Subway
14.3. Kroger
14.4. Oberweis Dairy partnership Organization
14.5. Company 4
14.6. Company 5
14.7. Company 6
14.8. Company 7
14.9. Company 8
14.10. Company 9
14.11. Company 10 and More
"*Financials would be provided on a best efforts basis for private companies"
15. Big Data In Food and Beverages Industry Market -Appendix
15.1. Abbreviations
15.2. Sources
16. Big Data In Food and Beverages Industry Market -Methodology Premium
16.1. Research Methodology
16.1.1. Company Expert Interviews
16.1.2. Industry Databases
16.1.3. Associations
16.1.4. Company News
16.1.5. Company Annual Reports
16.1.6. Application Trends
16.1.7. New Products and Product database
16.1.8. Company Transcripts
16.1.9. R&D Trends
16.1.10. Key Opinion Leaders Interviews
16.1.11. Supply and Demand Trends
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보고서 주문 후, 연도 업데이트와 커스터마이징을 위해 당사에서 연락드릴 예정입니다.
상세 사항에 따라 가격이 변동될 수 있으니 참고 바랍니다.
기본 보고서는 영문으로 작성되며, PDF,PPT,DOCX(워드) 형식으로 제공 가능합니다.
보고서 전달 후에는 환불이 불가능하오니 양해 바랍니다.
평균 납기는 2주이며, 형식과 내용에 따라 달라질 수 있습니다.
요약
식품 및 음료 산업의 빅 데이터 시장. 식품 및 음료의 빅 데이터 시장은 2027 년까지 21 억 달러에이를 것으로 예상되며, 소비자 및 기계 데이터 개발의 급속한 증가로 인해 2022 년에서 2027 년 사이에 CAGR이 34.3% 증가 할 것으로 예상됩니다. 빅 데이터는 데이터 세트의 수집이 너무 크고 복잡하여 전통적인 방식으로 처리 할 수 없습니다
Summary
Big Data Market In Food & Beverages Industry. The market for Big Data In Food and Beverage is forecast to reach $2.1billion by 2027, growing at a CAGR of 34.3% from 2022 to 2027 due to rapid increase in consumer and machine data developments. Big Data is referred as the collection of data sets so large and complex that it is not possible to process it in traditional way
Table of Contents
1. Big Data In Food and Beverages Industry Market - Overview
1.1. Definitions and Scope
2. Big Data In Food and Beverages Industry Market - Executive summary
2.1. Market Revenue, Market Size and Key Trends by Company
2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography
3. Big Data In Food and Beverages Industry Market
3.1. Comparative analysis
3.1.1. Product Benchmarking - Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis - Top 10 companies
3.1.5. Pricing Analysis
4. Big Data In Food and Beverages Industry Market Forces
4.1. Drivers
4.2. Constraints
4.3. Challenges
4.4. Porters five force model
4.4.1. Bargaining power of suppliers
4.4.2. Bargaining powers of customers
4.4.3. Threat of new entrants
4.4.4. Rivalry among existing players
4.4.5. Threat of substitutes
5. Big Data In Food and Beverages Industry Market -Strategic analysis
5.1. Value chain analysis
5.2. Opportunities analysis
5.3. Product life cycle
5.4. Suppliers and distributors Market Share
6. Big Data In Food and Beverages Industry Market – By Deployment (Market Size -$Million / $Billion)
6.1. Market Size and Market Share Analysis
6.2. Application Revenue and Trend Research
6.3. Product Segment Analysis
6.3.1. Introduction
6.3.2. On-Premise
6.3.3. On Cloud
6.3.4. Hybrid
7. Big Data In Food and Beverages Industry Market – By Operations (Market Size -$Million / $Billion)
7.1. Procurement of Material
7.2. Production
7.3. Quality Control
7.4. Packaging
8. Big Data In Food and Beverages Industry Market – By Decision Making (Market Size -$Million / $Billion)
8.1. Pricing
8.2. Product Promotion
8.3. Product Development
8.4. Demand Forecasting
9. Big Data In Food and Beverages Industry Market – By Usage (Market Size -$Million / $Billion)
9.1. On-time Delivery
9.2. Operational Efficiency
9.3. Sentiment Analysis
9.4. Quality
9.5. Personalization
9.6. Market Basket Analysis
9.7. Customer Service
9.8. Suppliers and Distributers
10. Big Data In Food and Beverages Industry Market – By Application (Market Size -$Million / $Billion)
10.1. Manufacturers
10.2. Supply Chains
10.3. Restaurants Chains
10.4. Dairy and Food Farms
10.5. Agriculture
10.6. Wastage and Spoilage Control
10.7. Revenue
11. Big Data In Food and Beverages Industry Market – By Type (Market Size -$Million / $Billion)
11.1. Infrastructure
11.1.1. Storage Infrastructure
11.1.2. Network Infrastructure
11.2. Storage
11.2.1. Cloud Based
11.2.2. On-premise Based
12. Big Data In Food and Beverages Industry - By Geography (Market Size -$Million / $Billion)
12.1. Big Data In Food and Beverages Industry Market - North America Segment Research
12.2. North America Market Research (Million / $Billion)
12.2.1. Segment type Size and Market Size Analysis
12.2.2. Revenue and Trends
12.2.3. Application Revenue and Trends by type of Application
12.2.4. Company Revenue and Product Analysis
12.2.5. North America Product type and Application Market Size
12.2.5.1. U.S.
12.2.5.2. Canada
12.2.5.3. Mexico
12.2.5.4. Rest of North America
12.3. Big Data In Food and Beverages Industry - South America Segment Research
12.4. South America Market Research (Market Size -$Million / $Billion)
12.4.1. Segment type Size and Market Size Analysis
12.4.2. Revenue and Trends
12.4.3. Application Revenue and Trends by type of Application
12.4.4. Company Revenue and Product Analysis
12.4.5. South America Product type and Application Market Size
12.4.5.1. Brazil
12.4.5.2. Venezuela
12.4.5.3. Argentina
12.4.5.4. Ecuador
12.4.5.5. Peru
12.4.5.6. Colombia
12.4.5.7. Costa Rica
12.4.5.8. Rest of South America
12.5. Big Data In Food and Beverages Industry - Europe Segment Research
12.6. Europe Market Research (Market Size -$Million / $Billion)
12.6.1. Segment type Size and Market Size Analysis
12.6.2. Revenue and Trends
12.6.3. Application Revenue and Trends by type of Application
12.6.4. Company Revenue and Product Analysis
12.6.5. Europe Segment Product type and Application Market Size
12.6.5.1. U.K
12.6.5.2. Germany
12.6.5.3. Italy
12.6.5.4. France
12.6.5.5. Netherlands
12.6.5.6. Belgium
12.6.5.7. Spain
12.6.5.8. Denmark
12.6.5.9. Rest of Europe
12.7. Big Data In Food and Beverages Industry – APAC Segment Research
12.8. APAC Market Research (Market Size -$Million / $Billion)
12.8.1. Segment type Size and Market Size Analysis
12.8.2. Revenue and Trends
12.8.3. Application Revenue and Trends by type of Application
12.8.4. Company Revenue and Product Analysis
12.8.5. APAC Segment – Product type and Application Market Size
12.8.5.1. China
12.8.5.2. Australia
12.8.5.3. Japan
12.8.5.4. South Korea
12.8.5.5. India
12.8.5.6. Taiwan
12.8.5.7. Malaysia
13. Big Data In Food and Beverages Industry Market - Entropy
13.1. New product launches
13.2. M&A's, collaborations, JVs and partnerships
14. Big Data In Food and Beverages Industry Market Company Analysis
14.1. Market Share, Company Revenue, Products, M&A, Developments
14.2. Subway
14.3. Kroger
14.4. Oberweis Dairy partnership Organization
14.5. Company 4
14.6. Company 5
14.7. Company 6
14.8. Company 7
14.9. Company 8
14.10. Company 9
14.11. Company 10 and More
"*Financials would be provided on a best efforts basis for private companies"
15. Big Data In Food and Beverages Industry Market -Appendix
15.1. Abbreviations
15.2. Sources
16. Big Data In Food and Beverages Industry Market -Methodology Premium
16.1. Research Methodology
16.1.1. Company Expert Interviews
16.1.2. Industry Databases
16.1.3. Associations
16.1.4. Company News
16.1.5. Company Annual Reports
16.1.6. Application Trends
16.1.7. New Products and Product database
16.1.8. Company Transcripts
16.1.9. R&D Trends
16.1.10. Key Opinion Leaders Interviews
16.1.11. Supply and Demand Trends
