According to a recent research report titled “AI in Food Market (By Technology: Machine Learning, Computer Vision, Robotics and Automation; By Application: Precision Agriculture, Food Processing, Supply Chain Management, Retail Services; By End-user: Food Manufacturers, Farmers and Growers, Restaurants, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2033″ published by Precedence Research, The global AI in food market size is expected to rise with an impressive CAGR and generate the highest revenue by 2033. This comprehensive study examines various factors and their impact on the growth of the AI in food market.
Key Points
- Asia Pacific is observed to expand at the fastest rate during the forecast period of 2024-2033.
- By technology, the machine learning segment held the largest share of the market in 2023.
- By technology, the robotics and automation segment is observed to witness a significant growth during the forecast period.
- By application, the food processing segment held a significant share of the AI in food market in 2023.
- By application, the supply chain management segment is observed to witness the fastest rate of expansion during the forecast period.
- By end user, the food manufacturers segment held the dominating share of the market in 2023.
- By end user, the restaurants segment is observed to witness a significant rate of expansion during the forecast period.
The report primarily focuses on the volume and value of the AI in food market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.
Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2017 to 2032, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.
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The research also highlights significant progressions in both organic and inorganic growth strategies within the global AI in food market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the AI in food market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.
AI in Food Market Scope
| Report Coverage | Details |
| Largest Market | North America |
| Base Year | 2023 |
| Forecast Period | 2024 to 2033 |
| Segments Covered | By Technology, By Application, and By End-user |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Also read: AI in Clinical Trials Market Size to Worth USD 18.82 Bn by 2033
Major Key Points Covered in Report:
Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.
Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Market Key Players
The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the AI in food market.
AI in food market Companies
- Google LLC
- IBM Corporation
- ABB Ltd
- NVIDIA Corporation
- Microsoft Corporation
- SAP SE
- Buhler Group
- Impact Vision
Segments Covered in the Report
By Technology
- Machine Learning
- Computer Vision
- Robotics and Automation
By Application
- Precision Agriculture
- Food Processing
- Supply Chain Management
- Retail Services
By End-user
- Food Manufacturers
- Farmers and Growers
- Restaurants
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Table of Content:
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on AI in Food Market
5.1. COVID-19 Landscape: AI in Food Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global AI in Food Market, By Technology
8.1. AI in Food Market, by Technology, 2024-2033
8.1.1 Machine Learning
8.1.1.1. Market Revenue and Forecast (2021-2033)
8.1.2. Computer Vision
8.1.2.1. Market Revenue and Forecast (2021-2033)
8.1.3. Robotics and Automation
8.1.3.1. Market Revenue and Forecast (2021-2033)
Chapter 9. Global AI in Food Market, By Application
9.1. AI in Food Market, by Application, 2024-2033
9.1.1. Precision Agriculture
9.1.1.1. Market Revenue and Forecast (2021-2033)
9.1.2. Food Processing
9.1.2.1. Market Revenue and Forecast (2021-2033)
9.1.3. Supply Chain Management
9.1.3.1. Market Revenue and Forecast (2021-2033)
9.1.4. Retail Services
9.1.4.1. Market Revenue and Forecast (2021-2033)
Chapter 10. Global AI in Food Market, By End-user
10.1. AI in Food Market, by End-user, 2024-2033
10.1.1. Food Manufacturers
10.1.1.1. Market Revenue and Forecast (2021-2033)
10.1.2. Farmers and Growers
10.1.2.1. Market Revenue and Forecast (2021-2033)
10.1.3. Restaurants
10.1.3.1. Market Revenue and Forecast (2021-2033)
10.1.4. Others
10.1.4.1. Market Revenue and Forecast (2021-2033)
Chapter 11. Global AI in Food Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Technology (2021-2033)
11.1.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.3. Market Revenue and Forecast, by End-user (2021-2033)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.1.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.1.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.5.3. Market Revenue and Forecast, by End-user (2021-2033)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Technology (2021-2033)
11.2.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.3. Market Revenue and Forecast, by End-user (2021-2033)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.2.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.2.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.5.3. Market Revenue and Forecast, by End-user (2021-2033)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Technology (2021-2033)
11.2.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.6.3. Market Revenue and Forecast, by End-user (2021-2033)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Technology (2021-2033)
11.2.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.7.3. Market Revenue and Forecast, by End-user (2021-2033)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Technology (2021-2033)
11.3.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.3. Market Revenue and Forecast, by End-user (2021-2033)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.3.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.3.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.5.3. Market Revenue and Forecast, by End-user (2021-2033)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Technology (2021-2033)
11.3.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.6.3. Market Revenue and Forecast, by End-user (2021-2033)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Technology (2021-2033)
11.3.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.7.3. Market Revenue and Forecast, by End-user (2021-2033)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.4.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.4.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.5.3. Market Revenue and Forecast, by End-user (2021-2033)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Technology (2021-2033)
11.4.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.6.3. Market Revenue and Forecast, by End-user (2021-2033)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Technology (2021-2033)
11.4.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.7.3. Market Revenue and Forecast, by End-user (2021-2033)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.3. Market Revenue and Forecast, by End-user (2021-2033)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Technology (2021-2033)
11.5.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.4.3. Market Revenue and Forecast, by End-user (2021-2033)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Technology (2021-2033)
11.5.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.5.3. Market Revenue and Forecast, by End-user (2021-2033)
Chapter 12. Company Profiles
12.1. Google LLC
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. IBM Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. ABB Ltd
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. NVIDIA Corporation
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Microsoft Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. SAP SE
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Buhler Group
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Impact Vision
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Why should you invest in this report?
This report presents a compelling investment opportunity for those interested in the global AI in food market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for AI in food. Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2023-2030. Armed with this knowledge, you can strategically plan your market entry approaches.
Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.
Some of the key questions answered in this report:
- What is the size of the overall AI in food market and its segments?
- What are the key segments and sub-segments in the market?
- What are the key drivers, restraints, opportunities and challenges of the AI in food market and how they are expected to impact the market?
- What are the attractive investment opportunities within the AI in food market?
- What is the AI in food market size at the regional and country-level?
- Who are the key market players and their key competitors?
- What are the strategies for growth adopted by the key players in AI in food market?
- What are the recent trends in AI in food market? (M&A, partnerships, new product developments, expansions)?
- What are the challenges to the AI in food market growth?
- What are the key market trends impacting the growth of AI in food market?
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