市场调查报告书
商品编码
1604687
供应链市场中的人工智慧:按产品、技术、应用和产业划分 - 2025-2030 年全球预测Artificial Intelligence in Supply Chain Market by Offering (Hardware, Services, Software), Technology (Augmented Reality, Computer Vision, Context-Aware Computing), Application, Industry - Global Forecast 2025-2030 |
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2023年供应链人工智慧市场规模为42.2亿美元,预计2024年将达53.2亿美元,复合年增长率为26.15%,2030年将达214.6亿美元。
供应链中的人工智慧(AI)是指机器学习演算法和资料分析的集成,以提高供应链业务的效率和有效性。对人工智慧的需求源于对即时资料分析、减少错误、预测洞察和管理供应链流程的成本效率的不断增长的需求。该领域的人工智慧应用包括需求预测、库存管理、物流优化、供应商关係管理等。最终用途范围包括零售、製造、食品和饮料以及医疗保健等行业,这些行业正在利用人工智慧来简化业务并提高盈利。根据市场洞察,关键的成长要素包括物联网技术的进步、资料量的快速成长、对流程自动化的需求不断增加以及消费者对快速交付的期望不断提高。最新的商业机会之一在于整合人工智慧和区块链以提高透明度和可追溯性。公司可以透过投资人工智慧主导的分析平台并与技术供应商建立伙伴关係来利用这些机会。然而,存在重大限制和挑战,包括实施成本高、资料隐私问题、演算法偏差以及传统供应链专业人员不愿采用新技术。克服这些挑战需要共同努力,包括变革管理、培训和人工智慧的逐步整合。创新的机会在于开发能够承受供应链中断的弹性人工智慧模型,建构不断改进的自适应学习系统,以及利用人工智慧实现减少碳足迹等永续实践。持续投资研发、探索协作生态系统以及将人工智慧使用案例扩展到传统应用之外对于成长至关重要。市场的本质是高度动态的,快速的技术进步要求企业在整个供应链中部署人工智慧时保持敏捷、知情和创新,以保持竞争力。
主要市场统计 | |
---|---|
基准年[2023] | 42.2亿美元 |
预计年份 [2024] | 53.2亿美元 |
预测年份 [2030] | 214.6亿美元 |
复合年增长率(%) | 26.15% |
市场动态:对供应链市场快速发展的人工智慧的关键市场洞察
供应链中的人工智慧市场正因供需的动态交互作用而转变。了解这些不断变化的市场动态可以帮助企业做出明智的投资决策、策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险,同时也能帮助企业了解消费行为及其对製造业的影响。
波特五力:驾驭供应链人工智慧市场的策略工具
波特的五力架构是了解供应链市场人工智慧竞争格局的关键工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势,解决弱点并避免潜在的挑战,从而确保更强大的市场地位。
PESTLE分析:了解外部对供应链市场人工智慧的影响
外部宏观环境因素在塑造供应链市场人工智慧的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素,公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化,并帮助他们做出积极主动的决策。
市场占有率分析 了解供应链人工智慧市场的竞争格局
供应链市场中人工智慧的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势,为供应商提供了製定策略决策所需的洞察力,使他们能够在日益激烈的竞争中占有一席之地。
FPNV 供应链市场人工智慧定位矩阵供应商绩效评估
FPNV 定位矩阵是评估供应链市场人工智慧供应商的关键工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商,从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商,并确定最能满足您的策略目标的合作伙伴和解决方案。
策略分析与建议绘製供应链市场人工智慧的成功之路
对于旨在加强其在全球市场的影响力的公司来说,供应链市场中人工智慧的策略分析至关重要。透过考虑关键资源、能力和绩效指标,公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战,利用新的商机并取得长期成功。
1. 市场渗透率:详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。
2. 市场开拓:辨识新兴市场的成长机会,评估现有领域的扩张潜力,并提供未来成长的策略蓝图。
3. 市场多元化:分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。
4. 竞争评估与情报:彻底分析竞争格局,检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。
5. 产品开发与创新:重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。
1.目前的市场规模和未来的成长预测是多少?
2. 哪些产品、区隔市场和地区提供最佳投资机会?
3.塑造市场的主要技术趋势和监管影响是什么?
4.主要厂商的市场占有率和竞争地位如何?
5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么?
The Artificial Intelligence in Supply Chain Market was valued at USD 4.22 billion in 2023, expected to reach USD 5.32 billion in 2024, and is projected to grow at a CAGR of 26.15%, to USD 21.46 billion by 2030.
Artificial Intelligence (AI) in Supply Chain represents the integration of machine learning algorithms and data analytics to enhance the efficiency and effectiveness of supply chain operations. The necessity for AI arises from the ever-increasing demand for real-time data analysis, error reduction, predictive insights, and cost efficiency in managing supply chain processes. AI applications in this field include demand forecasting, inventory management, logistics optimization, and supplier relationship management. End-use scope encompasses industries like retail, manufacturing, food and beverage, and healthcare, which leverage AI to streamline operations and improve profitability. Market insights reveal that key growth factors include advancements in IoT technology, the surge in data volumes, increased demand for process automation, and heightened consumer expectations for faster delivery. One of the latest opportunities lies in integrating AI with blockchain to enhance transparency and traceability. Companies can potentially capitalize on these opportunities by investing in AI-driven analytics platforms and fostering partnerships with technology providers. However, significant limitations and challenges include high implementation costs, data privacy concerns, algorithmic bias, and the reluctance of traditional supply chain professionals to adopt new technologies. Overcoming these challenges necessitates concerted efforts in change management, training, and gradually phasing the integration of AI. Innovation opportunities reside in developing resilient AI models that can withstand supply chain disruptions, creating adaptive learning systems that continuously improve, and leveraging AI for sustainable practices like reducing carbon footprints. Continuous investment in R&D, exploring collaborative ecosystems, and expanding AI use cases beyond traditional applications are paramount for growth. The nature of the market is highly dynamic, with rapid technological advancements driving the need for companies to remain agile, well-informed, and willing to innovate in deploying AI across their supply chains to stay competitive.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 4.22 billion |
Estimated Year [2024] | USD 5.32 billion |
Forecast Year [2030] | USD 21.46 billion |
CAGR (%) | 26.15% |
Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Supply Chain Market
The Artificial Intelligence in Supply Chain Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.
Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Supply Chain Market
Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Supply Chain Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.
PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Supply Chain Market
External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Supply Chain Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.
Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Supply Chain Market
A detailed market share analysis in the Artificial Intelligence in Supply Chain Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.
FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Supply Chain Market
The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Supply Chain Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.
Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Supply Chain Market
A strategic analysis of the Artificial Intelligence in Supply Chain Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Supply Chain Market, highlighting leading vendors and their innovative profiles. These include Alibaba Group Holding Limited, Amazon.com, Inc., American Software, Inc., Berkshire Grey, Inc., Coupa Software Inc., Deutsche Post AG, Intel Corporation, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, RELEX Solutions, SAP SE, and Splice Machine, Inc..
Market Segmentation & Coverage
1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.
2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.
3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.
4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.
5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.
1. What is the current market size, and what is the forecasted growth?
2. Which products, segments, and regions offer the best investment opportunities?
3. What are the key technology trends and regulatory influences shaping the market?
4. How do leading vendors rank in terms of market share and competitive positioning?
5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?