Artificial Intelligence in Food & Beverage Market Size, Share, Forecast, & Trends Analysis by Offering, Technology, Organization Size, Application, End User & Geography-Global Forecasts to 2031

Description

List of Tables

Artificial Intelligence in Food & Beverage Market by Offering (Solution, Services), Technology (Business Intelligence, ML, Others), Organization Size, Application (Marketing & Advertising, Supply Chain Management, Others), End User (Food Manufacturers, Beverage Producers, Others) & Geography-Global Forecast to 2031

The research report titled, 'Artificial Intelligence in Food & Beverage Market by Offering (Solution, Services), Technology (Business Intelligence, ML, Others), Organization Size, Application (Marketing & Advertising, Supply Chain Management, Others), End User (Food Manufacturers, Beverage Producers, Others) & Geography-Global Forecast to 2031, provides an in-depth analysis of the artificial intelligence in food & beverage market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2031.

The artificial intelligence in food & beverage market is projected to reach $42.6 billion by 2031, at a CAGR of 36.2% from 2024 to 2031.

The growing adoption of customer-centric marketing strategies and the increasing incorporation of AI in supply chain operations are driving the growth of the artificial intelligence in food & beverage market. However, market growth is restrained by technical and financial barriers. Furthermore, the increasing use of AI in product development and the rising need for greater visibility & transparency in supply chain processes provide considerable potential opportunities for market players. The market faces substantial challenges, including data privacy and security concerns.

The artificial intelligence in food & beverage market is segmented by offering (solutions and services); technology (machine learning, natural language processing, business intelligence, and other technologies); organization size (large enterprises and small & medium-sized enterprises); application (marketing & advertising, product development, supply chain management, budgeting and forecasting, consumer engagement, shelf management, procurement, quality management, resource management, operation management, and other applications); end user (food manufacturers, beverage producers, food service providers, retailers, and hospitality). The study also evaluates industry competitors and analyses the market at the regional and country levels.

Based on offering, the market is segmented into solutions and services. In 2024, the solutions segment is expected to account for a larger share of the market. The increased adoption of AI by food & beverage manufacturers to streamline operations by optimizing supply chain management, inventory control, and forecasting demand, reducing waste and improving efficiency, growing focus of market players to launch innovative AI solutions for the F&B industry and increasing investment on industrial automation are factors contributing to the segment's dominant position in the AI in food & beverage market. Moreover, the solutions segment is also projected to register the highest CAGR during the forecast period.

Based on technology, the market is segmented into machine learning, natural language processing, business intelligence, and other technologies. In 2024, the business intelligence segment is expected to account for the largest share of the market. Increasing availability of data from various sources-such as sales transactions, customer feedback, and supply chain operations are factors contributing to the segment's dominant position in the AI in food & beverage market and increased demand for real-time analytics by businesses to respond promptly to market shifts, to introduce new products or modify existing offerings based on consumer insights. industry. However, the machine learning segment is projected to register the highest CAGR during the forecast period.

Based on organization size, the market is segmented into large enterprises and small & medium-sized enterprises. In 2024, the large enterprises segment is expected to account for a larger share of the market. Increasing investments by large enterprises in automation and their rising focus on enhancing their competitiveness, improving profitability, and adapting to the evolving demands of the market are contributing to the segment's dominant position in the AI food & beverage market. However, the small & medium-sized enterprise segment is expected to register the highest CAGR during the forecast period.

Based on application, the market is segmented into marketing & advertising, product development, supply chain management, budgeting and forecasting, consumer engagement, shelf management, procurement, quality management, resource management, operation management, and other applications. In 2024, the marketing & advertising segment is expected to account for the largest share of the market. Increased need for more effective engagement strategies and data-driven decision-making to enhance customer experience, engage customers more effectively, optimize resources, and drive sales are factors contributing to the segment's dominant position in the AI in food & beverage market. However, the supply chain management segment is expected to register the highest CAGR during the forecast period.

Based on end user, the market is segmented into food manufacturers, beverage producers, food service providers, retailers, and hospitality. In 2024, the food manufacturers segment is expected to account for the largest share of the market. Increased use of AI by food manufacturers to monitor production processes in real-time, identifying defects or inconsistencies in product quality, rising need to predict demand, manage inventory levels, and optimize logistics are factors contributing to the segment's dominant position in the AI in food & beverage market However, the hospitality segment is expected to register the highest CAGR during the forecast period.

Based on geography, the artificial intelligence in food & beverage market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of the market. North America's large market share is mainly attributed growing use of AI in the food & beverages industry to enhance operational efficiency and improve product quality, rising investments in industrial automation, and high adoption of technologies. However, the Asia-Pacific region is projected to register the highest CAGR during the forecast period.

Key Players:

The artificial intelligence in food & beverage market is characterized by a moderately competitive scenario due to the presence of many large- and small-sized global, regional, and local players. The key players operating in the artificial intelligence in food & beverage market are Prognolite (Switzerland), Tastry (U.S.), ThroughPut Inc. (U.S.), Ai Palette (Singapore), Oracle Corporation (U.S.), GEP (U.S), Elisa IndustrIQ (Finland), Coupa Software Inc. (U.S.), PIPA LLC (U.S.), Gastrograph.ai (Analytical Flavor Systems, Inc.) (U.S.), Company 11, Company 12, and Company 13.

Key questions answered in the report:

Which are the high-growth market segments based on offering, technology, organization size, application, and end user?
What was the historical market for artificial intelligence in food & beverage?
What are the market forecasts and estimates for the period 2024-2031?
What are the major drivers, restraints, and opportunities in the artificial intelligence in food & beverage market?
Who are the major players, and what shares do they hold in the artificial intelligence in food & beverage market?
What is the competitive landscape like in the artificial intelligence in food & beverage market?
What are the recent developments in the artificial intelligence in food & beverage market?
What are the different strategies adopted by the major players in the artificial intelligence in food & beverage market?
What are the key geographic trends, and which are the high-growth countries?
Who are the local emerging players in the artificial intelligence in food & beverage market, and how do they compete with the other players?

Scope of the report:

Artificial Intelligence in Food & Beverage Market Assessment-by Offering

Solution
Services

Artificial Intelligence in Food & Beverage Market Assessment-by Technology

Machine Learning
Natural Language Processing
Business Intelligence
Other Technologies

Artificial Intelligence in Food & Beverage Market Assessment-by Organization Size

Large Enterprises
Small & Medium-sized Enterprises

Artificial Intelligence in Food & Beverage Market Assessment-by Application

Marketing & Advertising
- Content Generation & Strategies
- Chatbots and Virtual Assistants
- Sales & Marketing Automation
- Predictive Analytics
- Advertising Recommendation
- Search Advertising
- Social Media Management
- Marketing Insights
- Customized Applications
- Other Marketing & Advertising Applications
Product Development
- Product Insights & Feedback
- Concept Validation
- Recipe Development
- Other Product Development Applications
Supply Chain Management
Budgeting and Forecasting
Consumer Engagement
- Consumer Insights
- Audience Targeting
- Consumer Experience
- Other Consumer Engagement Applications
Shelf Management
Procurement
Quality Management
Resource Management
Operation Management
Other Applications

Artificial Intelligence in Food & Beverage Market Assessment-by End User

Food Manufacturers
Beverage Producers
Food Service Providers
Retailers
Hospitality

Artificial Intelligence in Food & Beverage Market Assessment-by Geography

North America
- U.S.
- Canada
Europe
- U.K.
- Germany
- France
- Italy
- Spain
- Sweden
- Switzerland
- Netherlands
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Australia & New Zealand
- Indonesia
- Rest of Asia-Pacific
Latin America
Middle East & Africa

Product Code: MRICT - 1041304

1. Introduction

1.1. Market Definition & Scope
1.2. Currency & Limitations
- 1.2.1. Currency
- 1.2.2. Limitations

2. Research Methodology

2.1. Research Approach
2.2. Process of Data Collection and Validation
- 2.2.1. Secondary Research
- 2.2.2. Primary Research/Interviews with Key Opinion Leaders from the Industry
2.3. Market Sizing and Forecast
- 2.3.1. Market Size Estimation Approach
- 2.3.2. Growth Forecast
2.4. Assumptions for the Study

3. Executive Summary

3.1. Market Overview
3.2. Market Analysis, by Offering
3.3. Market Analysis, by Technology
3.4. Market Analysis, by Organization Size
3.5. Market Analysis, by Application
3.6. Market Analysis, by End User
3.7. Market Analysis, by Geography
3.8. Competition Analysis

4. Market Insights

4.1. Overview
4.2. Factors Affecting Market Growth
- 4.2.1. Drivers
  - 4.2.1.1. Growing Adoption of Customer-centric Marketing Strategies
  - 4.2.1.2. Increasing Incorporation of AI in Supply Chain Operations
- 4.2.2. Restraints
  - 4.2.2.1. Technical and Financial Barriers
- 4.2.3. Opportunities
  - 4.2.3.1. Increasing Use of AI in Product Development
  - 4.2.3.2. Rising Need for Greater Visibility and Transparency in Supply Chain Processes
- 4.2.4. Challenges
  - 4.2.4.1. Data Privacy and Security Concerns
4.3. Key Trends
4.4. Case Studies
4.5. Regulatory Analysis
4.6. Porter's Five Forces Analysis

5. Artificial Intelligence in Food & Beverage Market Assessment-by Offering

5.1. Overview
5.2. Solutions
5.3. Services

6. Artificial Intelligence in Food & Beverage Market Assessment-by Technology

6.1. Overview
6.2. Machine Learning
6.3. Natural Language Processing
6.4. Business Intelligence
6.5. Other Technologies

7. Artificial Intelligence in Food & Beverage Market Assessment-by Organization Size

7.1. Overview
7.2. Large Enterprises
7.3. Small & Medium-sized Enterprises

8. Artificial Intelligence in Food & Beverage Market Assessment-by Application

8.1. Overview
8.2. Marketing & Advertising
- 8.2.1. Content Generation & Strategies
- 8.2.2. Chatbots and Virtual Assistants
- 8.2.3. Sales & Marketing Automation
- 8.2.4. Predictive Analytics
- 8.2.5. Advertising Recommendations
- 8.2.6. Search Advertising
- 8.2.7. Social Media Management
- 8.2.8. Marketing Insights
- 8.2.9. Customized Applications
- 8.2.10. Other Marketing & Advertising Applications
8.3. Product Development
- 8.3.1. Product Insights & Feedback
- 8.3.2. Concept Validation
- 8.3.3. Recipe Development
- 8.3.4. Other Product Development Applications
8.4. Supply Chain Management
8.5. Budgeting and Forecasting
8.6. Consumer Engagement
- 8.6.1. Consumer Insights
- 8.6.2. Audience Targeting
- 8.6.3. Consumer Experience
- 8.6.4. Other Consumer Engagement Applications
8.7. Shelf Management
8.8. Procurement
8.9. Quality Management
8.10. Resource Management
8.11. Operations Management
8.12. Other Applications

9. Artificial Intelligence in Food & Beverage Market Assessment-by End User

9.1. Overview
9.2. Food Manufacturers
9.3. Beverage Producers
9.4. Food Service Providers
9.5. Retailers
9.6. Hospitality

10. Artificial Intelligence in Food & Beverage Market Assessment-by Geography

10.1. Overview
10.2. North America
- 10.2.1. U.S.
- 10.2.2. Canada
10.3. Europe
- 10.3.1. Germany
- 10.3.2. U.K.
- 10.3.3. France
- 10.3.4. Italy
- 10.3.5. Spain
- 10.3.6. Netherlands
- 10.3.7. Sweden
- 10.3.8. Rest of Europe
10.4. Asia-Pacific
- 10.4.1. Japan
- 10.4.2. China
- 10.4.3. India
- 10.4.4. South Korea
- 10.4.5. Singapore
- 10.4.6. Australia & New Zealand
- 10.4.7. Indonesia
- 10.4.8. Rest of Asia-Pacific
10.5. Latin America
10.6. Middle East & Africa

11. Competition Analysis

11.1. Overview
11.2. Key Growth Strategies
11.3. Competitive Benchmarking
11.4. Competitive Dashboard
- 11.4.1. Industry Leaders
- 11.4.2. Market differentiators
- 11.4.3. Vanguards
- 11.4.4. Emerging Companies
11.5. Market Ranking by Key Players

12. Company Profiles (Company Overview, Financial Overview, Product Portfolio, Strategic Developments)

12.1. Prognolite
12.2. Tastry
12.3. ThroughPut Inc.
12.4. Ai Palette
12.5. Oracle Corporation
12.6. GEP
12.7. Elisa IndustrIQ
12.8. Coupa Software Inc.
12.9. PIPA LLC
12.10. Gastrograph.ai (Analytical Flavor Systems, Inc.)
12.11. Company 11
12.12. Company 12
12.13. Company 13

(Note: SWOT analysis of the top 5 companies will be provided.)

13. Appendix

13.1. Available Customizations
13.2. Related Reports