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食品・飲料における人工知能(AI)市場:用途、最終用途、地域別、2024年~2032年Artificial Intelligence in Food & Beverages Market by Application, End Use, and Region 2024-2032 |
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食品・飲料における人工知能(AI)市場:用途、最終用途、地域別、2024年~2032年 |
出版日: 2024年01月30日
発行: IMARC
ページ情報: 英文 140 Pages
納期: 2~3営業日
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世界の食品・飲料における人工知能(AI)市場規模は2023年に75億米ドルに達しました。今後、IMARC Groupは、2024年から2032年の間に32.65%の成長率(CAGR)を示し、2032年までに1,022億米ドルに達すると予測しています。飲食品(F&B)インフラの大幅な改善、サプライチェーン業務の効率化ニーズの高まり、自動化サービスの広範な採用などが市場成長を促す要因となっています。
人工知能(AI)はコンピュータ科学の一分野であり、プログラムされたロボット機械に人間の知能をシミュレーションすることで、通常は人間の介入が必要な様々な産業作業を実行できるようにすることを目的としています。現在、飲食品(F&B)セクターでは、品質管理、食事輸送、消費者対応、工業規格遵守、製品・包装、食品選別アプリケーションの実行に採用されています。これらのサービスは、優れた衛生基準を維持し、いくつかの飲料や食品の最適な品質を確保し、栄養価を保持し、微生物を検出し、タイムリーな配達を確保し、過剰生産を最小限に抑えることによって無駄を削減するのに役立ちます。これとは別に、ワークフローを最適化し、作業員の負担を軽減し、消費者の推奨に基づく新製品のイノベーションを可能にし、購買体験を向上させる。その結果、飲食品部門におけるAIは、ロジスティクス、ヒューマンエラーの防止、より良いビジネス関連の意思決定のために幅広く利用されています。
飲食品(F&B)インフラの大幅な改善は、市場成長を促進する主要因です。これはさらに、サプライチェーンの業務効率を向上させるニーズの高まりと、多様な飲食品を選別する自動化サービスの普及によって支えられています。さらに、ホテル、レストラン、ケータリング(HoReCa)セクターの急速な拡大やクイックサービスレストラン(QSR)の最近の設立が、飲食品ユニットにおけるAIの需要を促進しており、これがもう1つの成長促進要因として作用しています。これらのソリューションは、売上予測、顧客行動の分析、監視、推論を支援し、貴重な消費者インサイトを得ることで、より的を絞った取り組みを行い、より深い交流を通じて個人レベルのつながりを作り、全体的な顧客体験を向上させる。さらに、在庫レベルを予測して木材の浪費を減らし、製品量を監視し、生産サイクルタイムを検出し、運用コストを削減しながら機械のダウンタイムを最小限に抑えるために、飲食品におけるAIの広範な取り込みが市場の成長を支えています。これに伴い、食品生産手順と機械学習(ML)ソリューションの統合という点で大幅な技術進歩が市場成長を後押ししています。これらのソリューションは、最終目標を推測し、市場戦略を洗練させ、倉庫管理コストを削減するために見積もりからあらゆる詳細を記録するために広く展開されています。これとは別に、主要企業間の継続的な近代化と戦略的提携が市場成長にプラスの影響を与えています。
The global artificial intelligence (AI) in food & beverages market size reached US$ 7.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 102.2 Billion by 2032, exhibiting a growth rate (CAGR) of 32.65% during 2024-2032. The significant improvements in the food and beverage (F&B) infrastructure, the increasing need to improve supply chain operational efficiency and the widespread adoption of automated services are some factors driving the market growth.
Artificial intelligence (AI) represents a branch of computer science concerned with the simulation of human intelligence in programmed robotic machines to make them capable of performing various industrial operations, which usually require human intervention. It is currently employed in the food and beverage (F&B) sector to execute quality control, meal transportation, consumer engagement, industrial standard compliance, product and packaging, and food sorting applications. These services help maintain excellent hygiene standards, ensure the optimal quality of several drinks and food products, retain their nutritional value, detect microorganisms, and reduce wastage by ensuring timely delivery and minimizing overproduction. Apart from this, it optimizes workflow, reduces workload from workers, allows innovation of new products based on consumer recommendations, and enhances purchasing experience. As a result, AI in food and beverage units is extensively used for logistics, preventing human errors, and making better business-related decisions.
The significant improvements in the food and beverage (F&B) infrastructure represent a prime factor driving the market growth. This is further supported by the increasing need to improve supply chain operational efficiency and the widespread adoption of automated services to sort diverse food and beverage products. Additionally, the rapid expansion in the hotels, restaurants, and catering (HoReCa) sector and the recent establishment of quick service restaurants (QSRs) have facilitated the demand for AI in food beverage units, which is acting as another growth-inducing factor. These solutions help predict sales, analyze, monitor, and deduce customer behavior, and gain valuable consumer insights to make more targeted efforts, create personal level connections through deeper interactions and improve the overall customer experience. Furthermore, the extensive uptake of AI in food beverage to forecast inventory levels to decrease wood wastage, monitor product quantities, detect production cycle time and minimize machine downtime at reduced operational expenses is supporting the market growth. In line with this, the significant technological advancements in terms of food production procedures and the integration of machine learning (ML) solutions are propelling the market growth. They are widely deployed to deduce end goals, refine market strategies, and record every detail from quotations to reduce warehousing costs. Apart from this, the continuous modernization and strategic collaborations amongst key players are positively impacting the market growth.
IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence (AI) in food & beverages market, along with forecasts at the global, regional, and country level from 2024-2032. Our report has categorized the market based on application and end use.
Food Sorting
Quality Control and Safety Compliance
Consumer Engagement
Production and Packaging
Maintenance
Others
The report has also provided a detailed breakup and analysis of artificial intelligence (AI) in food & beverages market based on the application. This includes food sorting, quality control and safety compliance, consumer engagement, production and packaging, maintenance, and others. According to the report, consumer engagement represented the largest segment.
Food Processing Industry
Hotel and Restaurant
Beverage Industry
A detailed breakup and analysis of the artificial intelligence (AI) in food & beverages market based on the end use has also been provided in the report. This includes food processing industry, hotel and restaurants, and beverage industry. According to the report, food processing industry accounted for the largest market share.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets that include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for artificial intelligence (AI) in food & beverages. Some of the factors driving the North America artificial intelligence (AI) in food & beverages included extensive research and development (R&D) activities, significant technological advancements, and rapid expansion in the food and beverage (F&B) sector.
The report has also provided a comprehensive analysis of the competitive landscape in the global artificial intelligence (AI) in food & beverages market. Detailed profiles of all major companies have also been provided. Some of the companies covered include ABB Ltd., Sesotec GmbH, Siemens AG, Sight Machine, TOMRA System ASA, etc.