Global AI In Cultured Meat Market size is predicted to grow with a 39.8% CAGR during the forecast period for 2025-2034.
Cultured meat is a substitute for traditional meat that has a less adverse environmental impact—such as reduced greenhouse gas emissions, water use, and land requirements. AI is essential for increasing the output of cultured meat because it improves cell culture media formulations, streamlines bioprocesses, and boosts overall production efficiency. Businesses can lower the expensive manufacturing costs of lab-grown meat and increase its broad market accessibility by incorporating AI.
The primary factors driving the growth of AI in the cultured meat market are the increasing demand for sustainable and ethical meat alternatives, as well as the expanding use of AI for quality assurance and contamination detection. Further meeting consumer expectations for healthier and more sustainably produced food options, AI-driven developments also improve the nutritional profile, flavor, and texture of cultured meat. This growing demand accelerates investment and technological advancements in AI-powered cultured meat solutions. The market is expected to grow due to the absence of traditional animal protein sources and increased research and development (R&D) costs in cellular agriculture.
Moreover, the expansion of the AI in cultured meat market is fueled by legislative pushes for ecologically friendly food production practices, as well as strategic alliances between AI startups and companies that produce cultured meat. These partnerships enable more scalable and effective manufacturing procedures by combining AI's data processing capabilities with the creative methods of cultured meat producers.
Some of The Key Players in The AI in Cultured Meat Market are:
The AI in Cultured Meat market is segmented based on meat type, AI technology, application, and end-user. Based on meat type, the market is segmented into Seafood, Pork, Beef, Poultry, and Others. By AI technology, the market is segmented into Computer Vision, Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, and Predictive Analytics. By application, the market is segmented into Media Optimization, Cell Line Development, Bioprocess Monitoring & Optimization, Quality Control, Scaffold Design, and Others. By end-user, the market is segmented into Cultured Meat Producers, Biotech Companies, Research Institutions, and Food Regulatory Authorities.
The Poultry category is expected to hold a major global market share in 2021. Due to its faster growth cycle compared to other meats, poultry is better suited for AI-driven mass production optimization. Cultured poultry's dominance in the market is fueled by its shorter production schedule, which enables the consistent and high-quality production of outputs. On the other hand, throughout the projection period, the seafood segment is expected to develop at the fastest rate in the market. The creation of cultured seafood is complicated by the particular growing conditions needed by each species. Higher yields are guaranteed by AI's capacity to adjust and optimize environmental factors like temperature, salinity, and nutrient balance for various species, which makes the market appealing and rapidly expanding in AI applications.
Over the forecast period, the cultured meat manufacturers segment is expected to hold the largest share of the AI in cultured meat market. AI is used by manufacturers of cultured meat to speed up the creation of strong, high-yielding cell lines, which are necessary for effective large-scale production. Productivity is increased through the quicker discovery and optimization of optimal cell strains made possible by machine learning and other AI approaches.
The North American AI in Cultured Meat market is expected to register the highest market share in revenue in the near future, driven by extensive research and development, as well as customers' legitimate concerns over the sustainability of food substitutes. The development and adoption of AI in cultured meat products are accelerated by the region's level of technological advancement and relevant support from both public and private organisations. The next-generation proteins are highly popular among customers in this region, significantly propelling the market's expansion. In addition, Asia Pacific is projected to grow rapidly in the global AI-in-cultured meat market. The Asia Pacific is a centre for rapid technical developments, particularly in automation and artificial intelligence. These advancements are being utilised in the cultured meat sector to enhance the scalability of AI-powered meat production processes, reduce costs, and improve production efficiency.
|
Report Attribute |
Specifications |
|
Growth Rate CAGR |
CAGR of 39.8% from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
|
Forecast Year |
2025-2034 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
By Application, By AI Technology, By Meat Type, By End-use |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
|
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
|
Competitive Landscape |
GOOD Meat, Aleph Farms, BioRaptor, Steakholder Foods, BioCraft, Multus Biotechnology, NotCo, New Wave Biotech |
|
Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
|
Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Applicationology and Scope
1.1. Research Applicationology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Cultured Meat Market Snapshot
Chapter 4. Global AI in Cultured Meat Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Global AI in Cultured Meat Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10. Use/impact of AI on CULTURED MEAT Industry Trends
Chapter 5. AI in Cultured Meat Market Segmentation 1: By AI Technology, Estimates & Trend Analysis
5.1. Market Share by AI Technology, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following AI Technology:
5.2.1. Machine Learning (ML)
5.2.2. Deep Learning
5.2.3. Natural Language Processing (NLP)
5.2.4. Computer Vision
5.2.5. Predictive Analytics
Chapter 6. AI in Cultured Meat Market Segmentation 2: By Meat Type, Estimates & Trend Analysis
6.1. Market Share by Meat Type, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Meat Type:
6.2.1. Beef
6.2.2. Poultry
6.2.3. Seafood
6.2.4. Pork
6.2.5. Others
Chapter 7. AI in Cultured Meat Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Cell Line Development
7.2.2. Media Optimization
7.2.3. Scaffold Design
7.2.4. Bioprocess Monitoring & Optimization
7.2.5. Quality Control
7.2.6. Others
Chapter 8. AI in Cultured Meat Market Segmentation 4: By End User, Estimates & Trend Analysis
8.1. Market Share by End User, 2024 & 2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End User:
8.2.1. Cultured Meat Producers
8.2.2. Research Institutions
8.2.3. Biotech Companies
8.2.4. Food Regulatory Authorities
Chapter 9. AI in Cultured Meat Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global AI in Cultured Meat Market , Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by AI Technology, 2021-2034
9.2.3. North America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Meat Type, 2021-2034
9.2.4. North America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.5. North America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.3. Europe
9.3.1. Europe AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by AI Technology, 2021-2034
9.3.3. Europe AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Meat Type, 2021-2034
9.3.4. Europe AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.5. Europe AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. South Korea
9.4.1.5. Southeast Asia
9.4.1.6. Rest of Asia Pacific
9.4.2. Asia Pacific AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by AI Technology, 2021-2034
9.4.3. Asia Pacific AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Meat Type, 2021-2034
9.4.4. Asia Pacific AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts By Application, 2021-2034
9.4.5. Asia Pacific AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.5. Latin America
9.5.1. Latin America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Argentina
9.5.1.4. Rest of Latin America
9.5.2. Latin America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by AI Technology, 2021-2034
9.5.3. Latin America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Meat Type, 2021-2034
9.5.4. Latin America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.5. Latin America AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. South Africa
9.6.1.3. Rest of Middle East and Africa
9.6.2. Middle East & Africa AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by AI Technology, 2021-2034
9.6.3. Middle East & Africa AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Meat Type, 2021-2034
9.6.4. Middle East & Africa AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.6.5. Middle East & Africa AI in Cultured Meat Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Eat Just, Inc. (GOOD Meat Division)
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. JBS S.A.
10.2.3. Aleph Farms
10.2.4. Mosa Meat
10.2.5. UPSIDE Foods
10.2.6. Believer Meats
10.2.7. BioTech Foods
10.2.8. MeaTech 3D (now Steakholder Foods)
10.2.9. Ivy Farm Technologies
10.2.10. BlueNalu, Inc.
10.2.11. Shiok Meats Pte Ltd.
10.2.12. Finless Foods
10.2.13. Vow
10.2.14. Multus Media
10.2.15. Biftek
10.2.16. BioBQ
10.2.17. Ever After Foods
10.2.18. Umami Bioworks
10.2.19. Gourmey
10.2.20. Cubiq Foods
10.2.21. BioCraft Pet Nutrition
10.2.22. Back of the Yards Algae Sciences
10.2.23. Seawith
10.2.24. Prolific Machines
10.2.25. Ark Biotech
10.2.26. Others Companies
Segmentation of AI in Cultured Meat Market-
AI in Cultured Meat Market By Meat Type-
AI in Cultured Meat Market By AI Technology-
AI in Cultured Meat Market By Application-
AI in Cultured Meat Market By End-User-
AI in Cultured Meat Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
