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市場調査レポート
商品コード
1561457
サプライチェーン分析市場レポート:コンポーネント、展開形態、企業規模、業界別、地域別、2024年~2032年Supply Chain Analytics Market Report by Component, Deployment Mode, Enterprise Size, Industry Vertical, and Region 2024-2032 |
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サプライチェーン分析市場レポート:コンポーネント、展開形態、企業規模、業界別、地域別、2024年~2032年 |
出版日: 2024年09月10日
発行: IMARC
ページ情報: 英文 138 Pages
納期: 2~3営業日
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世界のサプライチェーン分析市場の市場規模は2023年に81億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけて15.5%の成長率(CAGR)を示し、2032年までに306億米ドルに達すると予測しています。企業のデジタル変革の進展、サプライチェーンにおけるエンドツーエンドの可視性と透明性に対する需要の高まり、eコマースプラットフォームから製品やサービスを購入する個人のオンラインショッピング活動の増加は、市場を推進している主な要因の一部です。
サプライチェーン分析とは、サプライチェーン内のさまざまなソースからデータを収集、調査、解釈し、実用的な洞察を得て、業務を最適化し、情報に基づいた意思決定を行う手順を指します。統計技術、データマイニング、予測モデリング、ビジネスインテリジェンスを組み合わせて生データを価値ある情報に変換し、サプライチェーンプロセスの合理化と戦略目標の達成を支援します。製品の可用性と納期厳守を保証することで、顧客満足度とロイヤルティを向上させます。また、市場の変化や顧客のニーズに迅速に対応することで、企業は競争力を高めることができます。
現在、在庫レベル、生産スケジュール、調達を最適化するためのサプライチェーン分析に対する需要の高まりが、市場の成長を後押ししています。これに加えて、在庫レベル、回転率、リードタイムを効率的に分析し、製品の可用性を確保しながら運搬コストを削減することに注目が集まっていることも、市場の成長に寄与しています。さらに、自然災害や地政学的事象を含む潜在的なサプライチェーンの途絶を特定し、緩和するためのサプライチェーン分析の統合が進んでいることも、市場の見通しを良好にしています。これとは別に、業務効率を高め、コストを削減し、サプライチェーン全体の可視性を向上させるために高度な分析ソリューションを採用する組織が増加していることも、市場の成長を支えています。さらに、ビッグデータとモノのインターネット(IoT)の普及が進んでいることも、市場の成長を強化しています。
企業のデジタル変革の進展
企業のデジタルトランスフォーメーションの進展は、現在サプライチェーン分析市場の拡大にプラスの影響を与えています。これに加えて、企業はビッグデータの力を活用するために、高度なデータ分析技術やツールに継続的に投資しています。この投資により、企業は膨大な量のサプライチェーンデータをリアルタイムで取得、保存、分析できるようになっています。その結果、企業はより適切な意思決定を行い、サプライチェーン・オペレーションを継続的に最適化できるようになった。さらに、人工知能(AI)や機械学習(ML)アルゴリズムをサプライチェーン分析ソリューションに組み込むことで、その機能性が向上しています。これらのテクノロジーは、予測的分析と処方的分析を可能にし、企業が需要の変動を予測し、在庫レベルを最適化し、サプライチェーンにおける潜在的なボトルネックや混乱を特定することを可能にします。
サプライチェーンにおけるエンド・ツー・エンドの可視性と透明性への需要の高まり
サプライチェーンにおけるエンドツーエンドの可視性と透明性に対する需要の高まりが、サプライチェーン分析市場の成長を促進しています。これに加えて、さまざまな業種の企業が、サプライチェーン業務に対するリアルタイムの洞察の重要性を認識しています。原材料の調達や最終製品の配送など、サプライチェーンのあらゆる側面を継続的に可視化するために、高度な分析ソリューションへの投資が増加しています。さらに企業は、サプライヤー、物流業者、社内業務など、無数のソースからのデータを監視、追跡、分析できるサプライチェーン分析プラットフォームを積極的に導入しています。こうしたリアルタイムのモニタリングによって、混乱への迅速な対応、ボトルネックの特定、在庫水準の最適化、全体的な業務効率の向上が可能になります。さらに、製品のトレーサビリティ、持続可能性、倫理的な調達に対する消費者の意識の高まりは、企業にサプライチェーンの包括的な可視性を提供するよう迫っています。
個人によるオンライン・ショッピングの増加
個人のオンラインショッピング活動の活発化が、サプライチェーン分析の需要を押し上げています。これに加えて、消費者がますますオンラインプラットフォームで買い物をするようになっているため、企業はサプライチェーンを効率的に管理する上で多くの課題に直面しています。こうした課題には、変動する需要パターン、複雑なロジスティクス、在庫や注文の履行状況をリアルタイムで把握する必要性などがあります。こうした進化する要件に対応するため、企業は実用的な洞察を得て業務を最適化する手段として、サプライチェーン分析ソリューションに注目しています。さらに、世界の混乱や予期せぬ出来事などの要因によって、サプライチェーンの回復力と敏捷性の維持が増加しています。オンラインショッピングの継続的な増加により、リスク軽減におけるサプライチェーン分析の重要性が高まっており、企業は脆弱性を事前に特定し、緊急時対応計画を策定し、事業継続性を確保することができます。
The global supply chain analytics market size reached US$ 8.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 30.6 Billion by 2032, exhibiting a growth rate (CAGR) of 15.5% during 2024-2032. The growing digital transformation of businesses, rising demand for end-to-end visibility and transparency in supply chains, and increasing online shopping activities among individuals to purchase products and services from e-commerce platforms are some of the major factors propelling the market.
Supply chain analytics refers to the procedure of collecting, examining, and interpreting data from various sources within a supply chain to gain actionable insights, optimize operations, and make informed decisions. It combines statistical techniques, data mining, predictive modeling, and business intelligence to transform raw data into valuable information, helping organizations streamline their supply chain processes and achieve strategic objectives. It improves customer satisfaction and loyalty by ensuring product availability and on-time deliverables. It also enables companies to gain a competitive edge by responding faster to market changes and customer needs.
At present, the increasing demand for supply chain analytics to optimize inventory levels, production schedules, and procurement is impelling the growth of the market. Besides this, the rising focus on efficiently analyzing stock levels, turnover rates, and lead times to reduce carrying costs while ensuring product availability is contributing to the growth of the market. In addition, the growing integration of supply chain analytics in identifying and mitigating potential supply chain disruptions, including natural disasters or geopolitical events, is offering a favorable market outlook. Apart from this, the increasing number of organizations adopting advanced analytics solutions to enhance their operational efficiency, lessen costs, and improve overall supply chain visibility is supporting the growth of the market. Additionally, the rising proliferation of big data and the Internet of Things (IoT) is strengthening the market growth.
Growing digital transformation of businesses
The growing digital transformation of businesses is currently exerting a positive influence on the expansion of the supply chain analytics market. Besides this, organizations are continually investing in advanced data analytics technologies and tools to harness the power of big data. This investment is enabling businesses to capture, store, and analyze vast amounts of supply chain data in real time. As a result, companies are better equipped to make correct decisions and optimize their supply chain operations continuously. Furthermore, the inclusion of artificial intelligence (AI) and machine learning (ML) algorithms into supply chain analytics solutions is enhancing its functionalities. These technologies enable predictive and prescriptive analytics, allowing businesses to anticipate demand fluctuations, optimize inventory levels, and identify potential bottlenecks or disruptions in the supply chain.
Rising demand for end-to-end visibility and transparency in supply chains
The rising demand for end-to-end visibility and transparency in supply chains is propelling the growth of the supply chain analytics market. Besides this, organizations across various industries are recognizing the critical importance of real-time insights into their supply chain operations. They are increasingly investing in advanced analytics solutions to gain continuous visibility into every facet of their supply chain, including raw material sourcing and final product delivery. Moreover, companies are actively implementing supply chain analytics platforms that are capable of monitoring, tracking, and analyzing data from innumerable sources, including suppliers, logistics providers, and internal operations. This real-time monitoring enables them to respond swiftly to disruptions, identify bottlenecks, optimize inventory levels, and enhance overall operational efficiency. Furthermore, the rising consumer awareness about product traceability, sustainability, and ethical sourcing is compelling businesses to provide comprehensive visibility into their supply chains.
Increasing online shopping activities of individuals
The increasing online shopping activities of individuals are bolstering the demand for supply chain analytics. Besides this, as consumers increasingly turn to online platforms to make their purchases, businesses are confronted with a multitude of challenges in managing their supply chains efficiently. These challenges include fluctuating demand patterns, complex logistics, and the need for real-time visibility into inventory and order fulfillment. In response to these evolving requirements, companies are turning to supply chain analytics solutions as a means to gain actionable insights and optimize their operations. Furthermore, there is a rise in the maintenance of supply chain resilience and agility, driven by factors, such as global disruptions and unexpected events. The continuous growth of online shopping intensifies the importance of supply chain analytics in risk mitigation, enabling organizations to proactively identify vulnerabilities, develop contingency plans, and ensure business continuity.
IMARC Group provides an analysis of the key trends in each segment of the global supply chain analytics market report, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on component, deployment mode, enterprise size, and industry vertical.
Software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) dominates the market
The report has provided a detailed breakup and analysis of the market based on the component. This includes software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) and services (professional and support and maintenance). According to the report, software represented the largest segment.
Supply chain analytics software is a type of software designed to help organizations analyze and optimize their supply chain operations. It integrates data from multiple sources, including enterprise resource planning (ERP) systems and external data sources, such as market trends and weather forecasts. It often includes demand forecasting modules that use historical data and advanced forecasting algorithms to predict future demand for products or materials. It can also help organizations optimize their inventory levels by identifying excess or shortages and suggesting reorder points and quantities. It can also optimize transportation routes and modes, reduce shipping costs, and improve delivery times.
On-premises hold the largest share in the market
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based. According to the report, on-premises accounted for the largest market share.
On-premises supply chain analytics refers to the practice of deploying and running supply chain analytics software and tools within the physical infrastructure of an organization rather than relying on cloud-based or external solutions. It offers greater customization and control over the entire analytics stack, from data storage to analytical tools. This flexibility allows organizations to tailor their analytics environment to their specific needs. On-premises supply chain analytics solutions can help organizations maintain compliance with various regulations by allowing them to implement specific security measures and access controls. It can also provide faster access to this data because they do not rely on external network connections.
Large enterprises hold the biggest share in the market
A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes large enterprises and small and medium enterprises. According to the report, large enterprises accounted for the largest market share.
Large enterprises require supply chain analytics for several critical reasons, as it can significantly impact their efficiency, competitiveness, and profitability. Supply chain analytics can help large enterprises better understand demand patterns, lead times, and seasonality. Large enterprises often have complex manufacturing and distribution networks. Analytics can help streamline these processes, reduce lead times, and improve overall operational efficiency. Moreover, a well-managed supply chain can lead to better customer service through improved order accuracy, shorter delivery times, and the ability to meet customer demands more effectively. Supply chain analytics can help track and report on compliance with environmental, social, and governance (ESG) standards. Furthermore, it provides valuable data and insights that enable data-driven decision-making. This helps enterprises make informed choices about their supply chain strategies, investments, and improvements.
Manufacturing holds the maximum share in the market
A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes automotive, food and beverages, healthcare and pharmaceuticals, manufacturing, retail and consumer goods, transportation and logistics, and others. According to the report, manufacturing accounted for the largest market share.
Supply chain analytics plays a crucial role in optimizing the manufacturing sector as it helps manufacturers predict demand more accurately by analyzing historical sales data, market trends, and other relevant factors. Manufacturers also use analytics to optimize their inventory levels by analyzing factors like lead times, demand variability, and production capacity. They can determine the optimal stock levels to reduce carrying costs while ensuring product availability. Supply chain analytics assists in optimizing production schedules and processes. It also helps manufacturers optimize transportation routes, select the most cost-effective carriers, and minimize shipping costs. It enables manufacturers to identify defects early, reduce waste, and ensure products meet quality standards by analyzing quality data.
North America exhibits a clear dominance, accounting for the largest supply chain analytics market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which 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 accounted for the largest market share.
North America held the biggest market share due to the rising demand for defects early, reduce waste, and ensure products meet quality standards. Besides this, the increasing emergence of e-commerce platforms selling products and services online and delivering them to the doorstep of buyers is propelling the growth of the market. Apart from this, the rising demand for methods to reduce operational costs among organizations is contributing to the growth of the market. Additionally, increasing regulations and environmental concerns enabling organizations to track and report on their supply chain practices are strengthening the growth of the market.
Asia Pacific is estimated to expand further in this domain due to rising advancements in data analytics and artificial intelligence (AI). Moreover, the increasing proliferation of Internet of Things (IoT) devices and improved data collection methods is bolstering the growth of the market.
Key market players are investing heavily in advanced analytics technologies, including machine learning (ML), artificial intelligence (AI), and predictive analytics, as these technologies enable better demand forecasting, optimization of inventory, and identification of cost-saving opportunities. They are also expanding their cloud offerings to cater to a greater number of clients and provide real-time data analysis capabilities. Top companies are incorporating IoT devices and sensors to collect real-time data from various points in the supply chain, enabling better visibility and decision-making. They are also integrating sustainability metrics into their analytics solutions to help organizations reduce their carbon footprint, optimize routes, and make eco-friendly sourcing decisions.