AI Data Management Market – Global Forecast to 2028
AIデータ管理市場 : オファリング (プラットフォーム、ソフトウェアツール＆サービス)、データタイプ、テクノロジー (ML、NLP、コンピュータービジョン、コンテキスト認識)、アプリケーション (プロセスオートメーション、データ拡張)、業種、地域別 – 2028年までの世界予測
AI Data Management Market by Offering (Platform, Software tools, and Services), Data Type, Technology (ML, NLP, Computer Vision, Context Awareness), Application (Process Automation, Data Augmentation), Vertical and Region – Global Forecast to 2028
Report Overview
The global AI data management market is valued at USD 25.1 billion in 2023 and is estimated to reach USD 70.2 billion by 2028, registering a CAGR of 22.8% during the forecast period. The advent and widespread adoption of cloud computing have redefined the way organizations store, process, and access data. Cloud technologies provide a scalable and flexible foundation, enabling businesses to efficiently manage their ever-growing volumes of data without the constraints of traditional on-premises infrastructure. The shift towards cloud-based platforms is instrumental in driving the demand for AI data management solutions. Cloud environments offer the agility required to adapt to dynamic business needs, allowing organizations to scale their data management capabilities seamlessly. AI-driven data management tools designed for the cloud are inherently more scalable, enabling businesses to handle diverse datasets and increasing workloads effectively. This scalability is particularly crucial as the sheer volume and variety of data continue to expand exponentially.
The report provides insights on the following pointers:
• Analysis of key drivers (AI-powered data fabric solutions and automated integration fueling market expansion, the evolution in cloud technology to drive the AI Data Management market growth, Rapid advancements in AI and ML to propel the adoption of transformative data management solutions), restraints (Issues related to data availability and quality and susceptibility to bias and inaccuracies), opportunities (Automated data cleaning to revolutionize data preparation for better insights, enhanced predictive analytics to empower businesses to anticipate future trends, personalized and adaptive systems to emerge as a significant opportunity in the market), and challenges (Training AI on large and diverse datasets to enhance data quality poses market challenges, acquiring skilled AI experts in data management to challenge the market, limitations in bridging the educational gap for a skilled workforce) influencing the growth of the AI data management market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI data management market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the AI data management market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI data management market strategies; the report also helps stakeholders understand the pulse of the AI data management market and provides them with information on key market drivers, restraints, challenges, and opportunities.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Microsoft (US), IBM (US), AWS (US), Google (US), Oracle (US) among others in the AI data management market.
AIデータ管理市場 – MarketsandMarkets