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市場調査レポート
商品コード
1690032
アドバンストアナリティクス市場規模、シェア、成長分析:提供別、タイプ別、ビジネス機能別、業界別、地域別 - 産業予測 2025~2032年Advanced Analytics Market Size, Share, and Growth Analysis, By Offering (Solutions, Services), By Type (Big Data Analytics, Predictive Analytics), By Business Function, By Vertical, By Region - Industry Forecast 2025-2032 |
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アドバンストアナリティクス市場規模、シェア、成長分析:提供別、タイプ別、ビジネス機能別、業界別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年03月24日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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アドバンストアナリティクスの世界市場規模は、2023年に740億米ドルと評価され、2024年の919億8,000万米ドルから2032年には5,241億7,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは24.3%で成長する見通しです。
世界のアドバンストアナリティクス市場は、パーソナライズされた消費者体験のための機械学習と人工知能(AI)の採用の増加、およびオンラインショッピングの急増によって、大幅な成長を遂げています。ソーシャルネットワーキングプラットフォームの台頭により、洗練されたアナリティクスソリューションに対する需要がさらに高まっており、企業は膨大な量のデータを活用してタイムリーかつ事実に基づいた意思決定を行うことができるようになっています。アナリティクス分野におけるデータ評価スキルの向上は、企業が業務を合理化し利害関係者の要求に応えるのに役立っており、特に銀行やヘルスケアなどの部門から多額の投資が行われています。注目すべき進歩としては、AIとデータアナリティクスの統合による、ヘルスケアにおける個別化された治療計画の策定が挙げられ、IBMとパランティアテクノロジーズのような提携は、患者の治療成果の変革を目的としています。
Global Advanced Analytics Market size was valued at USD 74.0 billion in 2023 and is poised to grow from USD 91.98 billion in 2024 to USD 524.17 billion by 2032, growing at a CAGR of 24.3% during the forecast period (2025-2032).
The global advanced analytics market is experiencing substantial growth, driven by the increasing adoption of machine learning and artificial intelligence (AI) for personalized consumer experiences, as well as the surge in online shopping. The rise of social networking platforms has further intensified the demand for sophisticated analytics solutions, enabling companies to harness vast amounts of data for timely, fact-based decision-making. Enhanced data evaluation skills in the analytics space are helping enterprises streamline operations and meet stakeholder demands, leading to significant investments, particularly from sectors like banking and healthcare. Notable advancements include the integration of AI with data analytics to create personalized treatment plans in healthcare, exemplified by partnerships like IBM and Palantir Technologies aimed at transforming patient care outcomes.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Advanced 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.
Global Advanced Analytics Market Segments Analysis
Global Advanced Analytics Market is segmented by Offering, Type, Business Function, Vertical and region. Based on Offering, the market is segmented into Solutions and Services. Based on Type, the market is segmented into Big Data Analytics, Predictive Analytics, Customer Analytics, Statistical Analytics, Risk Analytics, Prescriptive Analytics and Other Types. Based on Business Function, the market is segmented into HR, Sales And Marketing, Finance And Accounting, Operations And Supply Chain and Other Business Function. Based on Vertical, the market is segmented into BFSI, Telecom, Retail & Consumer Goods, Manufacturing, Healthcare & Life Sciences, Media & Entertainment, Government & Defense, Automotive & Transportation, IT & ITEs and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Advanced Analytics Market
The surge in data generation is driving a heightened demand for advanced analytics solutions, as organizations seek to extract valuable insights and facilitate informed decision-making. As businesses accumulate vast amounts of data, the necessity for sophisticated analytical tools becomes paramount. These solutions enable companies to navigate complex data landscapes and uncover patterns that inform strategic directions. Consequently, the global advanced analytics market is witnessing significant growth, propelled by the need for enhanced data-driven strategies across various industries. This trend underscores the critical role that advanced analytics play in helping organizations harness the power of data effectively.
Restraints in the Global Advanced Analytics Market
The Global Advanced Analytics market faces a significant challenge due to the scarcity of highly skilled professionals with expertise in data science, statistics, and programming. This deficiency in qualified personnel can hinder the market's growth and development, as organizations rely on advanced analytics to derive insightful conclusions from complex data sets. Without enough experts to drive these analytical processes, companies may struggle to fully leverage the potential of advanced analytics, ultimately affecting their competitiveness and ability to innovate. Addressing this skills gap is crucial for the sustained expansion and advancement of the market in the forthcoming years.
Market Trends of the Global Advanced Analytics Market
The Global Advanced Analytics market is witnessing a significant upward trend, primarily driven by the dominance of Artificial Intelligence (AI) and Machine Learning (ML). These cutting-edge technologies empower organizations to harness vast amounts of complex and unstructured data, enabling deeper insights and enhanced predictive capabilities. By automating decision-making processes, AI and ML not only streamline operations but also improve responsiveness to market dynamics. This shift is pushing companies across various sectors to invest heavily in advanced analytics solutions, fostering innovation and competitiveness. As businesses prioritize data-driven strategies, the demand for AI and ML in advanced analytics is expected to surge, shaping the future landscape.