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市場調査レポート
商品コード
1400692
サプライチェーン向けAIの世界市場の評価:コンポーネント別、規模別、ソリューションタイプ別、エンドユーザー別、地域別、機会、予測(2017年~2031年)Artificial Intelligence in Supply Chain Market Assessment, By Component, By Size, By Solution Type, By End-user, By Region, Opportunities and Forecast, 2017-2031F |
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カスタマイズ可能
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サプライチェーン向けAIの世界市場の評価:コンポーネント別、規模別、ソリューションタイプ別、エンドユーザー別、地域別、機会、予測(2017年~2031年) |
出版日: 2024年01月03日
発行: Market Xcel - Markets and Data
ページ情報: 英文 225 Pages
納期: 3~5営業日
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世界のサプライチェーン向けAIの市場規模は、2023年に50億5,000万米ドル、2031年に310億8,000万米ドルに達し、2024年~2031年の予測期間にCAGRで25.5%の成長が見込まれています。
AIとオートメーションは過去10年間でサプライチェーンにますます浸透し、組織に生産性の向上、顧客体験の強化、経費削減の機会を提供しています。サプライチェーン向けAIの利用は著しく拡大しています。例えば、2023年9月に発表されたMecalux, S.A.の最新データによると、経営幹部の90%が最先端技術に年間100万米ドル以上を投資する意向であり、その58%はAIがこの部門に革命を起こし、持続的な競争力をもたらす可能性がもっとも高いと考えています。技術への投資の増加により、デジタルサプライチェーンは世界の動向になりつつあります。さらに、参入企業の86%は、2027年までにサプライネットワークが「自律、デジタル、コネクテッド、アジャイル、インテリジェント」になると予測しています。
ロジスティクスとサプライチェーン管理の多くの分野を最適化し単純化するAI技術の利用を可能にすることで、ロジスティクスオートメーションはサプライチェーン向けAI市場に寄与します。需要予測、よりよいルーティングと配送、よりよい積み込み手順、在庫管理の改善などがAIで行われています。
例えば、AIは需要予測、配送トラックの最適なルートの割り出し、よりよい在庫レベルの管理で企業を支援できます。サプライチェーン向けAI市場の拡大は、このようなAIのロジスティクスサプライチェーン管理への統合によってもたらされる、より高い効率性、コスト削減、顧客満足度の向上によって推進されています。
倉庫管理の生産性、効率性、安全性の向上にAI技術を活用することで、倉庫オートメーションはサプライチェーン産業へのAIの統合をリードしています。コボットやその他のAI対応技術を倉庫で活用することで、面倒な作業を自動化し、ワークフローを合理化し、在庫管理を強化しています。企業はAIを活用することで、全体的な業務効率を高め、注文処理を迅速化し、より高い在庫管理精度を達成できます。倉庫オートメーションにAIを取り入れることで、サプライチェーン市場は革命を起こし、コスト削減、顧客満足度の向上、より迅速で柔軟なサプライチェーンが実現します。
サプライチェーン作業を最適化することで、過剰在庫や在庫切れを防ぎ、AI技術を活用することで将来の需要を予測することができます。正確な需要予測を行うため、AIシステムは過去の動向、季節性、外部からの影響などの膨大なデータを調査します。これにより、企業はマーケティングや生産活動をより適切に計画し、在庫レベルを修正し、市場の変動に対応することが可能になります。AIを活用した需要予測は、コスト削減、顧客満足度の向上、よりダイナミックで効率的なサプライネットワークを通じて、サプライチェーンマネジメントを変革しています。
アジア太平洋は、同地域の組織や政府の活動に後押しされ、経済におけるAIの発展の見通しに対する理解や認識が高まっていることから、サプライチェーン向けAI市場を独占しています。同地域の市場は、サプライチェーンソリューションの開発の拡大と、AIの導入に対する注目の高まりによって牽引されています。アジア太平洋のサプライチェーンAI市場の成長をさらに促進しているのが、急速に拡大する経済、ハイテクに精通した若年層、IoTの受容の拡大です。
当レポートでは、世界のサプライチェーン向けAI市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢と見通しなどを提供しています。
Global artificial intelligence in supply chain market size was valued at USD 5.05 billion in 2023, which is expected to reach USD 31.08 billion in 2031, with a CAGR of 25.5% for the forecast period between 2024 and 2031.
Artificial intelligence is revolutionizing the supply chain sector by enhancing operational effectiveness, cutting expenses, and raising customer satisfaction. Artificial intelligence in supply chains has the power to fundamentally change how goods are handled, distributed, and moved. In the coming years, supply chains will likely become more autonomous as AI-driven systems will handle a large portion of the procedures from delivery to procurement. Businesses that can invest in and set up their operations to make use of AI's potential in the supply chain can gain a clear competitive edge from the technology. Large volumes of supply chain data may be ingested by AI-enabled solutions, which can identify production issues, upstream or downstream shortages, certify supplies and components, and follow them across the whole supply chain.
Artificial intelligence and automation have been increasingly prevalent in supply chains over the last ten years, providing organizations with the chance to improve productivity, enhance customer experience, and eliminate expenses. The application of artificial intelligence in supply chains has grown significantly. For instance, according to the recent Mecalux, S.A. data published in September 2023, 90% of executives intend to invest more than USD 1 million a year in cutting-edge technologies, and 58% of them believe that AI has the most potential to revolutionize the sector and provide them a sustained competitive edge. Digital supply chains are becoming a global trend due to the increased investment in technology. Furthermore, 86% of the participants anticipate that supply networks will become "autonomous, digital, connected, agile, and intelligent" by 2027.
For instance, in November 2023, Amazon SageMaker presented five enhanced features, such as accelerated model training, reduced installation expenses, and a no-code feature in SageMaker Canvas. SageMaker facilitates ML innovation at scale by training industry-leading models like Jurassic-2, Stable Diffusion, IDEFICS, Falcon 40B and 180B, and StarCoder.
By enabling the application of AI technologies to optimize and simplify many areas of logistics and supply chain management, logistic automation contributes to artificial intelligence in the supply chain market. Demand forecasting, better routing and delivery, better loading procedures, and improved inventory management are being done with AI.
For instance, AI can assist companies in forecasting demand, figuring out the best routes for delivery trucks, and better control stock levels. The expansion of artificial intelligence in the supply chain market is being driven by greater efficiency, cost savings, and improved customer satisfaction that result from this integration of AI into logistics and supply chain management.
For example, in November 2023, with Oracle Fusion Cloud Inventory Management, Oracle unveiled more mobile features for managing medical inventory. The features are designed to decrease inventory errors, increase the effectiveness of restocking, and improve visibility for more accurate demand forecasting and stock availability.
By using AI technologies to improve productivity, efficiency, and safety in warehouse management, warehouse automation is leading the way in the supply chain industry's integration of artificial intelligence. Cobots and other AI-enabled technologies are being used in warehouses to automate tedious operations, streamline workflows, and enhance inventory management. Businesses can increase overall operational efficiency, expedite order fulfillment, and achieve higher inventory control accuracy by utilizing AI. The market for supply chains is being revolutionized by the incorporation of AI into warehouse automation, which results in lower costs, higher customer satisfaction, and a more responsive and flexible supply chain.
For instance, in October 2023, Oracle NetSuite enhanced NetSuite Analytics Warehouse with AI-powered capabilities, enhancing data management for healthcare companies and other sectors. The upgrades assist clients in developing analyses that boost productivity, cut expenses, and improve client comprehension, which can contribute to the utilization of data for innovation and expansion.
Supply chain operations can be optimized, thereby overstocking and stockouts can be prevented, and future demand can be predicted by using AI technologies, which are the driving force behind artificial intelligence in supply chain market. To produce precise demand estimates, artificial intelligence systems examine vast amount of data, including past trends, seasonality, and outside influences. This makes it possible for companies to better plan their marketing and production initiatives, modify inventory levels, and respond to market fluctuations. Demand forecasts using AI are transforming supply chain management through lower costs, better customer satisfaction, and more dynamic and efficient supply networks.
For instance, in April 2023, Coupa Software introduced new platform solutions to enhance business continuity and supply assurance, enabling organizations to make more informed spending decisions that promote efficiency, profitability, and purpose.
Asia-Pacific dominates the artificial intelligence in supply chain market owing to a higher level of understanding and awareness of the prospects for the development of AI in the economy, fueled by the efforts of organizations and governments in the region. The region's market is being driven by the expanding developments in supply chain solutions and the increasing focus on the implementation of artificial intelligence. Further driving growth in the Asia-Pacific artificial intelligence in supply chain market are the region's rapidly expanding economy, its youthful, tech-savvy population, and the growing acceptance of Internet of Things.
For instance, in November 2023, Amazon Web Services (AWS) revealed four features for AWS supply chain, which include supply planning, sustainability, visibility, and generative AI.
Artificial Intelligence in the supply chain market has undergone a major transformation as a result of recent government efforts. Governments globally have acted to encourage the use of AI after seeing how it can revolutionize supply chain operations. These programs include offering grants and funds to stimulate AI research and development, developing legal frameworks to guarantee the moral and responsible application of AI, and encouraging cooperation between the public and private sectors. Governments in the logistics and transportation sectors are fostering innovation, increasing productivity, and advocating sustainable practices by sponsoring the research and application of AI throughout the supply chain.
For instance, in October 2023, The Global AI Governance Initiative was established to encourage the ethical advancement and worldwide oversight of artificial intelligence. The initiative seeks the creation of transparent, equitable, and effective governance frameworks and highlights the necessity of equal rights and opportunities for all countries in the development and governance of AI.
The COVID-19 pandemic had a positive effect on artificial intelligence in the supply chain market. The use of artificial intelligence in supply chain operations was increasing gradually before the COVID-19 pandemic, with businesses using AI tools for logistics optimization, inventory control, and demand forecasting. On the other hand, the pandemic brought attention to the weaknesses in global supply systems, causing bottlenecks and obstructions. The application of AI to supply chain resilience and risk management has received more attention in the aftermath of the COVID-19 pandemic. Predictive analytics and machine learning are two examples of AI-powered technologies that are being used to improve supply chain operations' visibility, agility, and flexibility so that businesses can react to any disruptions with ease.
The Russia-Ukraine war has made a significant impact on the global supply chain, including artificial intelligence in the supply chain market. Unprecedented supply chain risks in 2022 brought about by the war have caused delays in transit, shortages of essential goods, and disruptions in several different businesses. Global leaders have adopted AI in supply chain management to lessen the effects of the war and enhance visibility, forecasting, and decision-making, but the crisis has spurred innovation. The war has brought attention to the necessity of robust and flexible supply chains, which is propelling the use of AI-powered tools to manage the changing environment and reduce interruptions.
The global artificial intelligence in the supply chain market is extremely competitive, with major companies having fierce competition for dominance. One significant player is Amazon.com, Inc., which uses AI to improve its delivery and logistics processes. AI-powered supply chain optimization and predictive analytics solutions are provided by Google, IBM Corporation, and Microsoft Corporation. Coupa Software Inc. offers spend management and procurement solutions powered by AI. The supply chain AI market is expected to grow and see increased industry adoption, according to optimistic projections. It is anticipated that the industry will continue to grow and innovate due to the integration of AI technologies including robotic process automation, machine learning, and natural language processing. These innovations will improve supply chain operations' sustainability, efficiency, and visibility.
In November 2023, SAP SE collaborated with Airbus to use SAP Integrated Business Planning for supply chain to transform industrial planning. Faster, more responsive production planning and increased manufacturing efficiency are possible through greater integration, collaboration, and transparency of cloud solution.
In October 2023, Infor Nexus and LSQ collaborated to extend supply chain finance initiatives and working capital, lowering obstacles for non-US suppliers, and granting early payments to international suppliers via an intuitive platform.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.