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市場調査レポート
商品コード
1701022
データ分析アウトソーシング市場規模、シェア、成長分析、サービスタイプ別、展開モデル別、業界別、データソース別、組織規模別、地域別-2025年~2032年の産業予測Data Analytics Outsourcing Market Size, Share, and Growth Analysis, By Service Type, By Deployment Model, By Industry Vertical, By Data Source, By Organization Size, By Region - Industry Forecast 2025-2032 |
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データ分析アウトソーシング市場規模、シェア、成長分析、サービスタイプ別、展開モデル別、業界別、データソース別、組織規模別、地域別-2025年~2032年の産業予測 |
出版日: 2025年04月01日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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データ分析アウトソーシングの世界市場規模は2023年に198億米ドルと評価され、予測期間(2025~2032年)のCAGRは34.8%で、2024年の266億9,000万米ドルから2032年には2,909億9,000万米ドルに成長する展望です。
データ分析アウトソーシング市場は、より迅速なデータ解釈に対する需要の高まりと、クラウドベースの分析ツールの普及によって急成長を遂げています。熟練したデータアナリストの不足がこの動向をさらに加速させる一方、AIや機械学習技術の進歩が複雑なデータセットを効率的に分析する能力を高めています。小規模組織も大規模組織も、費用対効果の高い利用ベースのデータ分析サービスから利益を得ることができます。主要市場の促進要因としては、膨大で複雑なデータを生成する企業の急増や、効率改善とコスト削減のためのデータ主導の意思決定の必要性の高まりが挙げられます。また、セルフサービス型分析ソフトウェアやオンデマンド型データ分析サービスの革新が、新たなビジネス機会をもたらしています。米国のデータ分析アウトソーシング市場は、今後の予測年においても持続的なCAGRを維持すると予測されます。
Global Data Analytics Outsourcing Market size was valued at USD 19.8 billion in 2023 and is poised to grow from USD 26.69 billion in 2024 to USD 290.99 billion by 2032, growing at a CAGR of 34.8% during the forecast period (2025-2032).
The data analytics outsourcing market is experiencing rapid growth, driven by the increasing demand for faster data interpretation and the widespread adoption of cloud-based analytical tools. The shortage of skilled data analysts further fuels this trend, while advancements in AI and machine learning technologies enhance the ability to analyze complex datasets efficiently. Both small and large organizations can benefit from cost-effective, usage-based data analytics services. Key market drivers include the surge in businesses generating vast amounts of intricate data and the growing necessity for data-driven decision-making to improve efficiency and cut costs. Additionally, innovations in self-service analysis software and on-demand data analysis services present new opportunities for exploration. The US data analytics outsourcing market is expected to maintain a sustainable CAGR in the upcoming forecast year.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Analytics Outsourcing 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 Data Analytics Outsourcing Market Segments Analysis
Global Data Analytics Outsourcing Market is segmented by Service Type, Deployment Model, Industry Vertical, Data Source, Organization Size and region. Based on Service Type, the market is segmented into Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Based on Deployment Model, the market is segmented into On-premises, Cloud-based and Hybrid. Based on Industry Vertical, the market is segmented into Financial Services, Healthcare, Retail and Manufacturing. Based on Data Source, the market is segmented into Structured Data, Unstructured Data and Semi-structured Data. Based on Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Data Analytics Outsourcing Market
As organizations across various industries increasingly acknowledge the critical role of data in shaping their strategic initiatives, the demand for data analytics outsourcing is surging. Companies are eager to leverage advanced analytics to enhance their operational efficiency, improve service offerings, and sustain a competitive advantage in the marketplace. This rising inclination towards data-driven decision-making is driving the growth of the global data analytics outsourcing market. Consequently, businesses are seeking external expertise to harness the power of analytics, leading to a robust expansion of this sector as they strive for innovation and excellence in their operations.
Restraints in the Global Data Analytics Outsourcing Market
A significant challenge in the Global Data Analytics Outsourcing market is the high demand for advanced analytics and data science experts, which currently exceeds the supply of qualified professionals. The increasing requirement for skills in machine learning, artificial intelligence, and big data analytics creates a competitive landscape where companies struggle to find suitable talent. This shortage of skilled workers hampers the overall effectiveness and potential of outsourcing initiatives, as firms are unable to fully leverage the benefits of advanced data analytics. Consequently, this talent gap acts as a restraint on the growth and progress of the outsourcing market in this domain.
Market Trends of the Global Data Analytics Outsourcing Market
The Global Data Analytics Outsourcing market is experiencing a robust trend driven by the integration of artificial intelligence (AI) and machine learning technologies. As organizations increasingly seek to leverage data for strategic decision-making, the adoption of these advanced analytics capabilities enhances forecasting accuracy and streamlines complex processes. This shift not only improves data insights but also fosters a competitive advantage in various industries. Consequently, the demand for specialized outsourcing services that offer sophisticated analytic solutions is rising, indicating a pivotal transition towards more innovative and efficient data management practices in a landscape characterized by rapid technological advancements.