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市場調査レポート
商品コード
1655972
調達アナリティクス市場規模、シェア、成長分析:コンポーネント別、展開モード別、組織規模別、用途別、エンドユーザー別、地域別 - 産業予測 2025~2032年Procurement Analytics Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Deployment Mode (Cloud, On-premises), By Organization Size, By Application, By End User, By Region - Industry Forecast 2025-2032 |
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調達アナリティクス市場規模、シェア、成長分析:コンポーネント別、展開モード別、組織規模別、用途別、エンドユーザー別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月14日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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調達アナリティクス市場規模は2023年に42億5,000万米ドルと評価され、2024年の52億3,000万米ドルから2032年には275億9,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは23.1%で成長する見通しです。
調達アナリティクス業界は、企業がますます効率性を優先するようになり、大きな成長を遂げています。コミュニケーション、パフォーマンス管理、ベンダーセグメンテーション、年次調達計画などの分野でデータ分析が強化され、組織にとって価値ある洞察がもたらされています。販売履歴やコスト情報など、購買部門の豊富なデータは、インテリジェントなアナリティクスによって活用され、より良いビジネス上の意思決定を促すことができます。さらに、クラウドプラットフォームは、世界な事業運営に不可欠なデータへのアクセス性とコラボレーションを強化しています。企業がサプライチェーンの透明性を高め、脆弱性を軽減しようと努力する中、調達アナリティクスは競争力を維持するために不可欠なツールとして登場し、企業が広範なデータセットを分析してサプライヤー管理を最適化し、コスト削減の機会を特定し、リスクを軽減することを可能にします。
Procurement Analytics Market size was valued at USD 4.25 billion in 2023 and is poised to grow from USD 5.23 billion in 2024 to USD 27.59 billion by 2032, growing at a CAGR of 23.1% during the forecast period (2025-2032).
The procurement analytics industry is experiencing significant growth as businesses increasingly prioritize efficiency. Enhanced data analytics in areas such as communications, performance management, vendor segmentation, and annual procurement planning is yielding valuable insights for organizations. The purchasing department's rich data, including sales history and cost information, can be harnessed through intelligent analytics to drive better business decisions. Furthermore, cloud platforms are enhancing data accessibility and collaboration, crucial for global operations. As companies strive for greater transparency in their supply chains and seek to mitigate vulnerabilities, procurement analytics emerges as a vital tool for maintaining a competitive edge, enabling firms to analyze extensive data sets to optimize supplier management, identify cost-saving opportunities, and reduce risks.
Top-down and bottom-up approaches were used to estimate and validate the size of the Procurement Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Procurement Analytics Market Segments Analysis
Global Procurement Analytics Market is segmented by Component, Deployment Mode, Organization Size, Application, End User and region. Based on Component, the market is segmented into Solutions and Services. Based on Deployment Mode, the market is segmented into Cloud and On-premises. Based on Organization Size, the market is segmented into Large Enterprises and Small and Medium-sized Enterprises (SMEs). Based on Application, the market is segmented into Supply Chain Analytics, Risk Analytics, Spend Analytics, Demand Forecasting, Contract Management, Vendor Management and Category Management. Based on End User, the market is segmented into BFSI, Retail and eCommerce, Telecom and IT, Manufacturing, Healthcare and Life Sciences, Energy and Utilities and Government and Defense. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Procurement Analytics Market
Organizations from various industries are facing mounting pressure to cut costs and enhance operational efficiencies. Analytical tools offer valuable insights into cost structures, supplier performance, and contract management, empowering companies to make informed, data-driven decisions. Consequently, the demand for procurement analytics solutions has surged significantly as businesses aim to optimize their procurement processes and achieve greater returns on investment. By leveraging these advanced analytics capabilities, companies can not only streamline their procurement operations but also drive overall organizational performance and competitiveness in an increasingly challenging market landscape.
Restraints in the Procurement Analytics Market
Despite the advantages offered by procurement analytics, the significant expenses linked to the implementation of such solutions often pose a challenge, particularly for small and medium-sized enterprises (SMEs). The financial burden encompasses various elements, including software licensing, data integration, training, and ongoing maintenance, making it tough for businesses operating on tight budgets to invest. As a result, this economic limitation hampers the adoption of procurement analytics and stifles market growth, as many potential users find it difficult to justify these costs in their financial planning. Consequently, the overall expansion of the procurement analytics market faces challenges due to this constraint.
Market Trends of the Procurement Analytics Market
The procurement analytics market is experiencing a significant shift driven by the integration of artificial intelligence (AI) and machine learning (ML). These advanced technologies enhance predictive analytics capabilities, enabling organizations to foresee potential issues and optimize supplier selection effectively. By automating routine tasks, AI and ML facilitate greater operational efficiency and allow procurement professionals to focus on strategic decision-making. This trend is reshaping the procurement landscape, as businesses increasingly leverage data-driven insights to enhance their procurement processes, fostering smarter, more agile supply chain management. As organizations seek to gain competitive advantages, the demand for AI and ML-driven procurement analytics solutions is expected to surge.