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市場調査レポート
商品コード
1663856
拡張アナリティクスの市場規模、シェア、成長分析:コンポーネント別、企業規模別、展開タイプ別、業界別、地域別 - 産業予測 2025~2032年Augmented Analytics Market Size, Share, and Growth Analysis, By Component (Software, Services), By Enterprise Size (Small and Medium Enterprises (SMEs), Large Enterprises), By Deployment Type, By Vertical, By Region - Industry Forecast 2025-2032 |
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拡張アナリティクスの市場規模、シェア、成長分析:コンポーネント別、企業規模別、展開タイプ別、業界別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月22日
発行: SkyQuest
ページ情報: 英文 186 Pages
納期: 3~5営業日
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拡張アナリティクス市場規模は2023年に116億6,000万米ドルとなり、予測期間(2025~2032年)のCAGR 29.1%で成長し、2024年の150億5,000万米ドルから2032年には1,161億5,000万米ドルに拡大する見通しです。
世界の拡張アナリティクス市場は、パンデミック時に生成されたデータの急増が主な要因となって、高度なデータ分析ツールに対する需要が高まっているため、大きな成長を遂げています。人工知能、機械学習、自然言語処理などの技術はデータ分析に変革をもたらし、企業はビジネスの成長を支えるより迅速で十分な情報に基づいた意思決定を行えるようになっています。各業界がデジタル・トランスフォーメーションを加速させる中、高度な分析ソリューションへのニーズは高まり続けています。各社は、ツールの効率性を高め、業界の特定の課題に対処するために積極的に協力しています。例えば、シナジー・インテリジェント・システムズは2022年5月、拡張アナリティクスの開発を進めるために1,200万米ドルを超える資金を調達しており、この分野の堅調な投資環境を反映しています。
Augmented Analytics Market size was valued at USD 11.66 billion in 2023 and is poised to grow from USD 15.05 billion in 2024 to USD 116.15 billion by 2032, growing at a CAGR of 29.1% during the forecast period (2025-2032).
The global augmented analytics market is experiencing significant growth due to the increasing demand for advanced data analysis tools, driven largely by the surge in data generated during the pandemic. Technologies like artificial intelligence, machine learning, and natural language processing are transforming data analysis, enabling enterprises to make faster, more informed decisions that support business growth. As industries accelerate their digital transformation, the need for sophisticated analytical solutions continues to rise. Companies are actively collaborating to enhance tool efficiency and address specific industry challenges. Additionally, market players are securing funding to drive innovation; for example, in May 2022, Synergies Intelligent Systems raised over USD 12 million to further its advancements in augmented analytics, reflecting a robust investment climate in this sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Augmented 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.
Augmented Analytics Market Segments Analysis
Global Augmented Analytics Market is segmented by Component, Enterprise Size, Deployment Type, Vertical and region. Based on Component, the market is segmented into Software and Services. Based on Enterprise Size, the market is segmented into Small and Medium Enterprises (SMEs) and Large Enterprises. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Vertical, the market is segmented into BFSI (Banking, Financial Services, and Insurance), IT and Telecommunications, Retail and E-commerce, Healthcare and Life Sciences, Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Augmented Analytics Market
The Augmented Analytics market is being significantly driven by the ongoing wave of digital transformation that is revolutionizing business operations worldwide. As competition intensifies, organizations are increasingly embracing cutting-edge digital solutions to stay ahead. Advanced analytics have fundamentally altered how companies analyze data, making it essential for them to derive meaningful insights, make data-driven decisions, and maintain a competitive advantage in their industries. By leveraging sophisticated analytics tools, businesses are not only enhancing their operational efficiencies but also propelling the growth of the global augmented analytics market, as they strive to unlock the full potential of their data resources.
Restraints in the Augmented Analytics Market
The Augmented Analytics market is facing significant restraints due to mounting concerns surrounding data security. In recent years, numerous companies globally have experienced data breaches as they increasingly adopt digital solutions, exposing them to risks of data theft. Given that technology involves the analysis of extensive data sets, it becomes imperative to establish robust security measures to protect essential insights from potential threats. Consequently, the rising challenges associated with data security serve as a barrier to the growth and expansion of the Augmented Analytics market, highlighting the urgent need for solutions that not only enhance analytical capabilities but also ensure data protection.
Market Trends of the Augmented Analytics Market
The Augmented Analytics market is witnessing a significant upward trend, driven by the increased adoption of Artificial Intelligence, Machine Learning, and Natural Language Processing technologies. Organizations are confronted with an exponential growth of data and the urgent need for real-time analysis, compelling them to leverage these advanced technologies for deeper insights. Traditionally reliant on static graphs and charts, businesses now employ strategic integrations of AI and ML to decode vast datasets, enabling them to generate actionable insights rapidly. This evolution not only streamlines data analysis processes but also fosters the development of tailored, impactful solutions, enhancing overall decision-making capabilities.