식품 이력추적 소프트웨어 시장 규모는 2024년에 3억 2,564만 달러로 평가되었으며, 2031년에는 6억 6,244만 달러에 달할 것으로 예측되며, 예측 기간인 2024-2031년 CAGR은 10.24%로 성장할 것으로 예측됩니다.
식품 이력추적 소프트웨어는 제조부터 유통, 소매까지 식품의 전 생애주기를 추적하고 문서화하는 기술 솔루션입니다. 각 제품의 경로를 확실하게 문서화하여 원산지, 품질, 안전성을 검증할 수 있습니다.
이러한 식품 이력추적 소프트웨어는 식품 공급망 전반에 걸쳐 식품 안전성을 모니터링 및 관리하고, 오염원을 식별하고, 제품 회수를 촉진하고, 규제 요건을 충족하기 위해 사용됩니다. 광범위한 제품 이력을 제공함으로써 기업은 투명성과 소비자의 신뢰를 유지할 수 있습니다.
식품 추적 소프트웨어의 미래는 불변의 기록을 보장하고 데이터 보안을 향상시키기 위해 블록체인 기술과의 긴밀한 통합이 특징이 될 것입니다. 또한, AI와 머신러닝은 예측적 인사이트를 위한 고급 분석을 제공하고, 컴플라이언스 프로세스를 자동화하며, 공급망 운영을 최적화할 수 있는 잠재력을 가지고 있습니다.
세계 식품 추적 소프트웨어 시장을 형성하는 주요 시장 역학은 다음과 같습니다:
주요 시장 촉진요인
규제 준수 : 식품 이력추적 소프트웨어의 도입은 식품의 안전과 추적성을 보장하기 위해 정부 및 규제 기관이 정한 엄격한 규정과 규범에 의해 동기를 부여받습니다. 미국 식품안전현대화법(FSMA) 및 전 세계 유사 요건과 같은 법규를 준수하기 위해 식품 공급망 전반의 추적성을 가능하게 하는 소프트웨어 솔루션이 큰 수요를 얻고 있습니다.
고객의 지식 증가 : 식품 안전, 진품성, 지속가능성에 대한 고객의 인식이 높아짐에 따라 식품 공급망에서 투명성에 대한 욕구가 증가하고 있습니다. 내가 먹는 식품이 어디서 왔는지, 어떻게 생산되는지, 환경 기준과 윤리 기준을 준수하는지 알고 싶어하는 사람들이 늘고 있습니다. 식품 이력추적 소프트웨어는 기업이 고객에게 이러한 투명성을 제공할 수 있도록 도와줍니다.
식품 공급망의 세계화 : 세계화의 결과로 식품 공급망은 복잡해지고, 소비자가 구매하기까지 여러 국가를 경유하는 것이 일반화되었습니다. 이러한 복잡성으로 인해 감염, 식품 사기 등의 위험이 증가합니다. 식품 이력추적 소프트웨어는 기업이 세계 공급망 전반에 걸쳐 제품의 안전과 품질을 추적할 수 있도록 지원합니다.
리스크 관리 및 위기 관리 : 식중독 발생, 제품 리콜 및 기타 식품 안전에 영향을 미치는 사고는 기업의 브랜드를 손상시키고 재정적 손실을 초래할 수 있기 때문에 리스크 관리 및 위기 대응은 매우 중요합니다. 식품 오염 및 기타 문제의 원인을 추적하는 소프트웨어는 기업이 위험을 관리하고 비상사태에 보다 효과적으로 대응할 수 있도록 도와줍니다.
주요 과제:
도입 비용 : 식품 이력추적 소프트웨어 솔루션의 도입에는 소프트웨어 구매, 직원 교육, 기존 인프라에 대한 시스템 연결 등이 포함되기 때문에 도입 비용이 많이 소요될 수 있습니다. 중소기업이나 리소스가 적은 기업에서는 초기 비용이 많이 들기 때문에 이러한 솔루션의 도입을 꺼릴 수 있습니다.
복잡성 및 통합 문제 : 식품 이력추적 소프트웨어는 일반적으로 재고 관리, 기업 자원 계획(ERP) 등 기존 시스템과의 통합을 필요로 합니다. 특히 IT 아키텍처가 다양하거나 시스템이 구식인 경우, 기업은 통합에 어려움을 겪을 수 있습니다.
표준화 부족 : 식품 추적을 관리하는 확립된 절차나 법률이 없기 때문에 소프트웨어 솔루션의 채택은 복잡해질 수 있습니다. 기업은 보편적인 표준이 없기 때문에 다양한 시스템 및 공급망 이해관계자 간의 상호운용성 문제에 직면할 수 있습니다.
변화에 대한 반대 : 일부 기업들은 현재 업무의 중단, 직원 재교육, 데이터 보안 및 개인 정보 보호에 대한 위험 인식에 대한 우려로 인해 새로운 기술이나 변화를 받아들이는 것을 주저할 수 있습니다.
주요 동향:
블록체인 통합 : 블록체인 기술은 식품 거래의 안전하고 투명하며 변경 불가능한 기록을 생성하기 위해 식품 추적 시스템에 점점 더 많이 사용되고 있습니다. 이러한 추세는 추적성 정보가 변조되지 않도록함으로써 데이터의 무결성과 이해관계자의 신뢰를 향상시킵니다.
사물인터넷(IoT)의 도입 : 센서와 RFID 태그는 온도, 습도 등 식품 상황에 대한 실시간 데이터 수집에 사용됩니다. 이 통합을 통해 공급망을 따라 식품을 지속적으로 모니터링하고 보다 정확하게 추적할 수 있습니다.
AI와 머신러닝 : 추적성 데이터는 인공지능과 머신러닝 알고리즘을 통해 분석되어 트렌드, 이상 징후, 예측을 찾습니다. 이러한 기술은 의사결정 강화, 공급망 프로세스 최적화, 잠재적 문제 사전 예측을 돕습니다.
소비자 참여도 향상 : 추적성 소프트웨어를 통해 소비자에게 상세한 제품 정보를 제공하는 것이 점점 더 중요해지고 있습니다. QR코드, 모바일 앱 등 투명성 강화로 소비자는 식품의 원산지를 확인하고 품질과 안전성을 확인할 수 있습니다.
Food Traceability Software Market size was valued at USD 325.64 Million in 2024 and is projected to reach USD 662.44 Million by 2031, growing at a CAGR of 10.24% during the forecast period 2024-2031.
Food traceability software is a technology solution that tracks and documents the complete lifespan of food goods, from manufacture to distribution and retail. It ensures that each product's route is documented, allowing for verification of origin, quality, and safety.
These Food Traceability software is used throughout the food supply chain to monitor and manage food safety, identify contamination sources, facilitate product recalls, and meet regulatory requirements. It helps firms preserve transparency and consumer trust by giving extensive product histories.
The future of food traceability software will feature tighter integration with blockchain technology to secure immutable records and improve data security. Furthermore, AI and machine learning may give sophisticated analytics for predictive insights, automate compliance processes, and optimise supply chain operations.
The key market dynamics that are shaping the global food traceability software Market include:
Key Market Drivers:
Regulatory Compliance: The adoption of food traceability software is motivated by the stringent regulations and norms established by governments and regulatory agencies to ensure food safety and traceability. Software solutions that allow for traceability throughout the food supply chain are in great demand due to compliance with legislation such as the Food Safety Modernisation Act (FSMA) in the United States and similar requirements around the world.
Rising Customer Knowledge: As customers become more aware of food safety, authenticity, and sustainability, the urge for transparency in the food supply chain grows. A growing number of people want to know where their food comes from, how it's produced, and if it adheres to environmental and ethical standards. Food traceability software helps firms to provide this transparency to their customers.
Globalization of Food Supply Chains: As a result of globalization, food supply chains are becoming more complex, with items commonly passing through multiple countries before being purchased by consumers. This complexity increases the risk of infection, food fraud, and other concerns. Food traceability software helps firms to track the safety and quality of their products across global supply chains.
Risk Management and Crisis: Risk management and crisis response are critical because foodborne illness outbreaks, product recalls, and other incidents impacting food safety can harm a company's brand and result in financial losses. Software that tracks the source of food contamination or other issues helps firms manage risks and respond to emergencies more effectively.
Key Challenges:
Implementation Costs: Implementation costs can be high when deploying food traceability software solutions since they include purchasing software, giving employee training, and connecting the system to existing infrastructure. Smaller businesses or those with fewer resources may be discouraged from implementing such solutions due to the initial expense.
Complexity and Integration Challenges: Food traceability software typically requires integration with pre-existing systems, such as inventory management or enterprise resource planning (ERP). Businesses may find integration difficult, especially if they have a diverse IT architecture or outdated systems.
Lack of Standardization: The adoption of software solutions may be complicated by the absence of established procedures or legislation governing food tracking. Companies may face interoperability issues across diverse systems and supply chain stakeholders in the lack of universal standards.
Opposition to Change: Some firms may be hesitant to accept new technology or change due to concerns about disrupting present operations, retraining personnel, or perceived risks to data security and privacy.
Key Trends:
Blockchain Integration: Blockchain technology is increasingly being used in food traceability systems to create safe, transparent, and unchangeable records of food transactions. This trend improves data integrity and stakeholder trust by ensuring that traceability information is not tampered with.
Internet of Things (IoT) Adoption: Sensors and RFID tags are being used to collect real-time data on food conditions, such as temperature and humidity. This integration enables continuous monitoring and more accurate tracking of food goods along the supply chain.
AI and Machine Learning: Traceability data is analysed using artificial intelligence and machine learning algorithms to look for trends, anomalies, and predictions. These technologies assist in enhancing decision-making, optimising supply chain processes, and anticipating potential issues before they arise.
Increasing Consumer Engagement: There is an increasing emphasis on providing consumers with detailed product information via traceability software. Enhanced transparency features, such as QR codes and mobile apps, allow consumers to identify their food's origins and ensure its quality and safety.
Here is a more detailed regional analysis of the global food traceability software Market:
North America:
North America continues to be a leading force in the food traceability software market, thanks to a mix of severe regulatory requirements, significant consumer demand for transparency, and sophisticated technology infrastructure. The region's powerful regulatory framework, as evidenced by efforts such as the Food Safety Modernisation Act (FSMA) in the United States, encourages the implementation of complete traceability systems. This is further reinforced by a significant presence of big technology corporations and startups developing in the field, which helps to drive market growth. In recent years, firms such as IBM and Microsoft have actively expanded their food traceability solutions, employing blockchain and AI technology to improve food safety and supply chain visibility.
In addition to corporate developments, recent government steps demonstrate North America's commitment to food traceability. For example, in August 2024, the United States Food and Drug Administration (FDA) issued a new set of rules targeted at boosting traceability throughout the food supply chain. This project is intended to close gaps left by previous foodborne illness outbreaks and improve the effectiveness of recalls. Similarly, in July 2024, Canada updated its Safe Food for Canadians Regulations (SFCR), requiring more stringent traceability standards for food producers and processors. These regulatory improvements reflect the region's proactive approach to assuring food safety and traceability, cementing North America's market leadership.
Asia Pacific:
The Asia Pacific region is becoming a major player in the food traceability software market, owing to rapid economic expansion, growing food safety concerns, and expanding consumer awareness. Because of their huge and complicated food supply networks, countries such as China, India, and Japan invest heavily in food traceability systems to increase supply chain efficiency and product safety. The region's growing middle class demands greater transparency and quality, accelerating the adoption of advanced traceability solutions. For example, in August 2024, China's Alibaba Group developed a new traceability program that uses blockchain technology to track seafood from farm to table, with the goal of increasing food safety and consumer confidence.
Government initiatives in Asia Pacific are also helping to the market's expansion. The Indian government implemented the "Food Safety and Standards (Labelling and Display) Regulations," which require greater traceability systems for packaged foods, in July 2024. This legislation seeks to address food safety concerns and guarantee that customers have access to accurate product information. Additionally, Japan's Ministry of Agriculture, Forestry, and Fisheries announced a pilot program in June 2024 to evaluate blockchain-based traceability systems for meat products, with the goal of improving traceability and combating food fraud. These legal initiatives and technological improvements demonstrate the region's increased attention on food traceability and its implications for the worldwide market.
The Global Food Traceability Software Market is segmented on the basis of By Type of Software, By End- Users, By Deployment Mode and By Geography.
ERP (Enterprise Resource Planning) Software
PLM (Product Lifecycle Management) Software
BI (Business Intelligence) Software
Based on Type of Software, the Global Food Traceability Software Market is segmented into ERP (Enterprise Resource Planning) Software, PLM (Product Lifecycle Management), BI (Business Intelligence) Software). ERP (Enterprise Resource Planning) Software dominates the segment due to its approach to integrating multiple corporate operations, including food traceability. As businesses look to use data to improve traceability, compliance, and decision-making, the demand for BI solutions has increased. The BI (Business Intelligence) Software category is the fastest growing. BI software provides advanced analytics, real-time data visualisation, and reporting capabilities that are critical for making informed decisions and increasing operational efficiency in the food supply chain.
Food Manufacturer
Food Distributors
Food Service Provider
Food Retailers
Based on End-Users, the Global Food Traceability Software Market is segmented into Food Manufacturer, Food Distributors, Food Service Provider, and Food Retailers. Food Retailers dominates the market because of their transparency and traceability with customers. Retailers utilise traceability software to provide detailed product information to customers, facilitate recall operations, and maintain supply chain integrity. The Food Manufacturer segment is the fastest growing segment. Food businesses are increasingly using traceability systems to assure food safety, comply with strict laws, and efficiently manage complicated supply chains.
Cloud-based
On-premise
Hybrid
Based on Deployment Mode, the Global Food Traceability Software Market is segmented into Cloud-based, On-premise, Hybrid. Cloud-based solutions are the dominant segment due to their scalability, cost-effectiveness, and ease of implementation. They are especially valued for their capacity to enable real-time data access and collaboration among distant teams.. Hybrid Deployment Mode is the fastest growing segment. Hybrid solutions mix cloud-based and on-premise systems, providing better flexibility and scalability.
North America
Europe
Asia Pacific
Middle East and Africa
Based on the Geography, the Global Food Traceability Software Market are classified into North America, Europe, Asia Pacific, Middle East and Africa. North America is the dominant region, owing to its advanced industrial infrastructure and widespread use of precision measurement technologies across industries. The Asia Pacific region is the fastest growing, thanks to rapid industrialization, expanding manufacturing capabilities, and rising investments in technology and infrastructure in emerging economies such as China and India.
The "Global Food Traceability Software Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Wherefour, FoodLogiQ, CAI Software, Minotaur, Business System, FarmSoft, SoftTrace, Blue Link, E Food-ERP.
Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.