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市场调查报告书
商品编码
1534422
食品和饮料人工智慧 (AI) 市场 - 全球规模、份额、趋势分析、机会、预测,2019-2030 年AI in Food and Beverages Market - Global Size, Share, Trend Analysis, Opportunity and Forecast, 2019-2030, Segmented By Application; By End Use; By Region (North America, Europe, Asia Pacific, Latin America, Middle East and Africa ) |
全球食品饮料人工智慧市场规模以14.22%的复合年增长率快速扩张,到2030年将达到871.4亿美元
由于对食品安全和品质的需求不断增长,以及对生产和分销效率的日益关注,推动了人工智慧的快速普及,全球食品和饮料市场中的人工智慧(AI)正在经历显着的成长。
领先的策略咨询和市场研究公司 BlueWeave Consulting 在最近的一项研究中估计,到 2023 年,食品和饮料领域人工智慧 (AI) 的全球市场规模将以金额为准135.6 亿美元。 BlueWeave预测,在2024年至2030年的预测期内,食品和饮料领域人工智慧(AI)的全球市场规模将以14.22%的复合年增长率扩大,到2030年将达到871.4亿美元。近年来,由于对各种食品和饮料产品的需求增加、竞争加剧以及效率目标的实现,食品和饮料市场在人工智慧方面取得了显着进展。世界各地的咖啡馆都在使用人工智慧进行个人化推荐。农场正在采用人工智慧进行作物监测和产量预测。人工智慧透过优化路线、减少浪费和预测需求来简化供应链。人工智慧食品应用程式的兴起也促进了更健康的选择和食品意识。
基础设施改善、供应链效率和自动化服务的采用正在推动食品和饮料市场的发展。酒店业和快餐店的扩张正在推动食品和饮料行业对人工智慧的需求。人工智慧可以帮助销售额预测、分析客户行为并改善客户体验。它也用于预测存量基准、监控产品数量并缩短生产週期时间。食品製造过程的技术进步和机器学习解决方案的整合也正在推动市场成长。主要企业之间的持续现代化和策略联盟也对市场成长产生正面影响。
机会-对食品安全和品管的高要求
由于食品安全和品管的需求不断增加,全球食品和饮料人工智慧(AI)市场正在蓬勃发展。机器学习 (ML) 和电脑视觉等人工智慧技术可以帮助检测污染物、预测腐败情况并监控整个供应链的卫生状况。这减少了食物中毒并提高了产品品质。对可靠食品安全措施的需求不断增长,正在推动更多公司投资人工智慧解决方案,从而推动市场成长。
地缘政治紧张局势升级对全球食品和饮料人工智慧(AI)市场的影响
地缘政治紧张局势的升级对全球食品饮料人工智慧(AI)市场趋势有重大影响。例如,俄罗斯和乌克兰之间持续的战争预计将在 2024 年之前对全球农业政策产生重大负面影响,导致价格急剧上涨和经济不稳定。人工智慧和机器学习 (ML) 等创新技术可能会继续影响供应链管理,使组织能够更好地了解其产品在世界各地的运输方式。人工智慧是 2023 年的热门话题,尤其是在食品供应链中,人工智慧可用于预测潜在的干扰并减轻对世界人口的影响。人工智慧有潜力成为一股向善的力量,使供应链更强大、更有效率,但建立信任也至关重要。这些趋势为供应链带来了机会和新的解决方案。因此,地区间地缘政治紧张局势的进一步加剧和蔓延可能对全球食品和饮料市场人工智慧(AI)产生积极和消极的影响。
食品和饮料领域人工智慧 (AI) 的全球市场
食品和饮料领域人工智慧 (AI) 的全球市场 – 按最终用途
按最终用途划分,全球食品和饮料人工智慧市场分为食品加工行业、酒店和餐厅以及食品和饮料领域。食品加工产业是全球食品和饮料人工智慧市场中最大的最终用途领域。人工智慧技术广泛应用于食品加工产业,以提高效率、减少废弃物、提高产品品质。预测性维护和自动分类系统等人工智慧主导的解决方案可简化营运、最大限度地减少停机时间并解决劳动力短缺问题。业界对创新和技术进步的关注进一步推动了人工智慧的日益普及。
竞争格局
全球食品饮料人工智慧(AI)市场竞争激烈,许多企业争夺更大的市场占有率。市场主要企业包括Raytec Vision SpA、罗克韦尔自动化公司、ABB 有限公司、Honeywell国际公司、Key Technology Inc.、TOMRA Sorting Solutions AS、GREEFA、Sesotec GmbH、Sight Machine Inc.、INTELLIGENTX Brewing Co . of 公司正在利用各种策略,包括增加研发活动投资、併购、合资、联盟、许可协议以及新产品和服务发布,以占领全球食品和饮料人工智慧(AI)市场。
该报告的详细分析提供了有关全球食品和饮料市场人工智慧(AI)的成长潜力、未来趋势和统计资料。它还涵盖了推动市场总规模预测的因素。该报告致力于提供全球食品和饮料市场人工智慧 (AI) 的最新技术趋势和产业见解,以帮助决策者做出明智的策略决策。此外,我们也分析了市场的成长动力、挑战和竞争力。
Global Artificial Intelligence (AI) in Food and Beverages Market Size Explodes at Robust CAGR of 14.22% to Touch USD 87.14 Billion by 2030
Global Artificial Intelligence (AI) in Food and Beverages Market is booming at a significant growth rate due to an increasing demand for food safety and quality and a heightened focus on efficiency in production and distribution driving rapid adoption of AI.
BlueWeave Consulting, a leading strategic consulting, and market research firm, in its recent study, estimated Global Artificial Intelligence (AI) in Food and Beverages Market size by value at USD 13.56 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects Global Artificial Intelligence (AI) in Food and Beverages Market size to expand at a CAGR of 14.22% reaching a value of USD 87.14 billion in 2030. In recent years, the food and beverages market has witnessed significant AI advancements due to an increasing demand for a variety of food and beverages, intensifying competition, and meeting efficiency goals. Cafes worldwide use AI for personalized recommendations. Farms employ AI for crop monitoring and yield prediction. Ai streamlines supply chains by optimizing routes, reducing wastage, and forecasting demand. The rise of AI-powered food apps has also promoted healthier choices and food awareness.
The food and beverages market is driven by improvements in infrastructure, supply chain efficiency, and the adoption of automated services. The expansion of the hospitality sector and quick service restaurants has increased demand for AI in food and beverages units. AI helps predict sales, analyze customer behavior, and improve customer experience. It is also used to forecast inventory levels, monitor product quantities, and reduce production cycle time. Technological advancements in food production procedures and the integration of machine learning solutions are also driving market growth. Continuous modernization and strategic collaborations among key players are also positively impacting market growth.
Opportunity - High demand for food safety and quality control
Global Artificial Intelligence (AI) Food and Beverages Market is thriving due to the growing demand for food safety and quality control. AI technologies, like machine learning (ML) and computer vision, help detect contaminants, predict spoilage, and monitor hygiene throughout the supply chain. This reduces foodborne illnesses and enhances product quality. The growing demand for reliable food safety measures is driving more companies to invest in AI solutions, driving market growth.
Impact of Escalating Geopolitical Tensions on Global Artificial Intelligence (AI) in Food and Beverages Market
Escalating geopolitical tensions significantly impact the trends in Global Artificial Intelligence (AI) in Food and Beverages Market. For instance, the ongoing war between Russia and Ukraine is anticipated to have a significant negative impact on global agricultural policy into 2024, leading to sharp price increases and economic instability. Innovative technologies like AI and machine learning (ML) may continue to impact supply chain management, allowing organizations to better understand global product movement. AI has been a hot topic in 2023, particularly in the food supply chain, where it can be used to predict potential disruptions and mitigate impacts on global populations. AI has the potential to be a force for good, making supply chains more robust and efficient, but building trust is also crucial. These trends can be seen as opportunities and new solutions for the supply chain. Hence, further intensification and spread of geopolitical tensions across the regions could have both positive and negative impacts on Global Artificial Intelligence (AI) in Food and Beverages Market.
Global Artificial Intelligence (AI) in Food and Beverages Market
Global Artificial Intelligence (AI) in Food and Beverages Market - By End Use
By end use, Global Artificial Intelligence (AI) in Food and Beverages Market is divided into Food Processing Industry, Hotel & Restaurant, and Beverage Industry segments. The food processing industry is the largest end use segment in Global AI in Food and Beverages Market. The extensive adoption of AI technologies in food processing industry to improve efficiency, reduce waste, and enhance product quality. AI-driven solutions, such as predictive maintenance and automated sorting systems, streamline operations, minimize downtime, and address labor shortages. The industry's focus on innovations and technological advancements further fuels the growing adoption of AI.
Competitive Landscape
Global Artificial Intelligence (AI) in Food and Beverages Market is fiercely competitive, with numerous companies vying for a larger market share. Major companies in the market include Raytec Vision SpA, Rockwell Automation Inc., ABB Ltd, Honeywell International Inc., Key Technology Inc., TOMRA Sorting Solutions AS, GREEFA, Sesotec GmbH, Sight Machine Inc., and INTELLIGENTX Brewing Co. These companies use various strategies, including increasing investments in their R&D activities, mergers and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in Global Artificial Intelligence (AI) in Food and Beverages Market.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Food and Beverages Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Food and Beverages Market and industry insights to help decision-makers make sound strategic decisions. Further, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable