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市場調査レポート
商品コード
1554285
拡張知能市場規模、シェア、成長分析:コンポーネント別、企業規模別、展開モード別、地域別- 産業予測、2024年~2031年Augmented Intelligence Market Size, Share, Growth Analysis, By Component (Software, Services), By Enterprise Size (SMEs, Large Enterprises), By Deployment Mode (Cloud, On-Premises), By Region - Industry Forecast 2024-2031 |
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拡張知能市場規模、シェア、成長分析:コンポーネント別、企業規模別、展開モード別、地域別- 産業予測、2024年~2031年 |
出版日: 2024年09月06日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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拡張知能の世界市場規模は2022年に178億4,000万米ドルとなり、予測期間(2024-2031年)のCAGRは19.6%で、2023年の213億4,000万米ドルから2031年には893億3,000万米ドルに成長する見通しです。
拡張知能市場は、AI技術と人間の専門知識を統合することで、人間の生産性、効率性、意思決定を強化することを目的としています。このアプローチは、AIの計算能力と人間のオペレーターの微妙な判断力を組み合わせることで、組織や個人が優れた成果を達成し、深い洞察を得て、より多くの情報に基づいた意思決定を行うことを可能にします。ビッグデータの利用可能性の増加は、この市場の主要な促進要因です。データ量が飛躍的に増大する中、企業はAIを活用して貴重な洞察を引き出し、データに基づいた意思決定を推進することに躍起になっています。拡張知能市場は、AIを活用したソリューションに対する需要の高まりにより、大幅な成長が見込まれています。企業がAIを活用して業務を改善し、意思決定プロセスを強化することのメリットを認識するにつれ、高度なAIテクノロジーに対するニーズは高まり続けています。拡張知能市場は、倫理的配慮や導入の難しさといった課題に直面しているもの、大きなビジネスチャンスをもたらしています。これらの技術を採用する企業は、生産性、効率性、洞察力の大幅な向上を得ることができます。
Global Augmented Intelligence Market size was valued at USD 17.84 Billion in 2022 and is poised to grow from USD 21.34 Billion in 2023 to USD 89.33 Billion by 2031, at a CAGR of 19.6% during the forecast period (2024-2031).
The Augmented Intelligence market aims to enhance human productivity, efficiency, and decision-making by integrating AI technologies with human expertise. This approach combines the computational power of AI with the nuanced judgment of human operators, enabling organizations and individuals to achieve superior outcomes, gain profound insights, and make more informed decisions. The increasing availability of big data is a major driver for this market. As data volumes grow exponentially, businesses are eager to harness AI to extract valuable insights and drive data-informed decisions. The market for Augmented Intelligence is poised for substantial growth, driven by the rising demand for AI-powered solutions. As organizations recognize the benefits of using AI to refine their operations and enhance decision-making processes, the need for advanced AI technologies continues to rise. Despite facing challenges such as ethical considerations and implementation difficulties, the Augmented Intelligence market presents considerable opportunities. Companies that embrace these technologies stand to gain significant improvements in productivity, efficiency, and insight.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Augmented Intelligence 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 Augmented Intelligence Market Segmental Analysis
The global augmented intelligence market is segmented based on component, Deployment mode, enterprise size, technology, vertical and region. Based on component, the market is segmented into software and services. Based on Deployment Mode, the market is segmented into Cloud, and On-Premises. Based on enterprise size, the market is segmented into SMBs, and large enterprises. Based on technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, and Others. Based on vertical, the market can be segmented into BFSI, IT & Telecom, Retail & Consumer Goods, Healthcare & Life Sciences, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics, Media & Entertainment, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Augmented Intelligence Market
Across various sectors, businesses are increasingly acknowledging the value of data-driven decision-making and are actively pursuing advanced analytics solutions to extract crucial insights. Augmented intelligence plays a key role in this process by utilizing machine learning algorithms and natural language processing to sift through extensive data sets, uncovering significant patterns and insights. In 2023, the demand for augmented intelligence is anticipated to rise as companies aim to enhance operational efficiency, elevate customer experiences, and foster innovation. The ability of augmented intelligence to provide actionable insights and support informed decision-making is driving its growing adoption among businesses looking to stay competitive and adapt to evolving market demands.
Restraints in the Global Augmented Intelligence Market
Given that augmented intelligence depends on the analysis and processing of vast amounts of data, ensuring data privacy and security is of paramount importance. Organizations must safeguard sensitive and confidential information throughout the data analysis process to prevent breaches and unauthorized access. As regulations tighten and concerns about data breaches increase, businesses may encounter difficulties in adopting augmented intelligence solutions while simultaneously maintaining stringent data privacy and compliance standards. Balancing the benefits of advanced analytics with the need for robust data protection measures presents a significant challenge for organizations.
Market Trends of the Global Augmented Intelligence Market
As augmented intelligence systems advance in complexity, there is an increasing demand for transparency and interpretability in AI-driven decisions. Explainable AI, which seeks to shed light on the decision-making processes of AI models, is expected to be a key trend in 2022. Both organizations and regulatory bodies will emphasize the importance of providing clear and understandable explanations for AI outputs, particularly in critical fields like healthcare and finance. Ensuring that augmented intelligence solutions offer transparent justifications for their decisions will be crucial. This focus on explainability aims to build trust and ensure accountability in AI applications, addressing concerns about how AI-driven insights are derived and used in sensitive and high-stakes scenarios.