コーザルAI市場 – 2030年までの世界予測

Causal AI Market – Global Forecast to 2030

コーザルAI市場 – オファリング（因果AIプラットフォーム、因果発見、因果推論、因果モデリング、根本原因分析）、用途（財務管理、販売および顧客管理、オペレーションおよびサプライチェーン管理） – 2030年までの世界予測
Causal AI Market by Offering (Causal AI Platforms, Causal Discovery, Causal Inference, Causal Modelling, Root Cause Analysis), Application (Financial Management, Sales & Customer Management, Operations & Supply Chain Management) – Global Forecast to 2030

It is anticipated that the Causal AI market will experience substantial growth, increasing from USD 56.2 million in 2024 to USD 456.8 million by 2030, with a strong CAGR of 41.8% throughout the forecast period.

コーザルAI市場は大幅な成長を遂げ、2024年の5,620万米ドルから2030年までに4億5,680万米ドルに増加し、予測期間全体で41.8%という強力なCAGRで成長すると予想されています。

コーザルAI市場 – 2030年までの世界予測
causal-ai-market-ecosystem

The report includes the study of key players offering Causal AI solutions. It profiles major vendors in the Causal AI market. The major players in the Causal AI market include IBM (US), Google (US), Microsoft (US), Dynatrace (US), Cognizant (US), Logility (US), Datarobot (US), CausaLens (UK), Aitia (US), Taskade (US), Causely (US), Causaly (UK), Causality Link (US), Xplain data (Germany), Parabole.AI (US), Datma (US), Incrmntl (Israel), Scalnyx (France), Geminos (US), Data Poem (US), CausaAI (Netherlands), Causa (UK), Lifesight (US), Actable AI (UK), biotx.ai (Germany), Howso (US), VELDT (Japan), and CML Insight (US).

The report provides insights on the following pointers:

  • Analysis of key drivers ( Increasing Demand for Explainable AI in Regulated Industries, Growing demand for Robust Counterfactual Analysis, Surge in Demand for Predictive Maintenance and Root Cause Analysis, Shift from Predictive to Causal AI based Prescriptive Analytics), restraints (Lack of Standardized Tools and Frameworks for Causal Inference, High Computational Costs for Causal Modeling), opportunities (Causal AI in Precision Healthcare and Drug Discovery, Scalable Causal Inference APIs for Real-Time Applications     , Integrating Causal AI with IoT for Real-Time Decision Making), and challenges (Complexity of Causal Model Development and Interpretability, Data Quality and Availability for Causal Inference).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Causal AI market.
  • Market Development: Comprehensive information about lucrative markets – the report analyses the Causal AI market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Causal AI market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like IBM (US), Google (US), Microsoft (US), Dynatrace (US), Cognizant (US), Logility (US), Datarobot (US), CausaLens (UK), Aitia (US), Taskade (US), Causely (US), Causaly (UK), Causality Link (US), Xplain data (Germany), Parabole.AI (US), Datma (US), Incrmntl (Israel), Scalnyx (France), Geminos (US), Data Poem (US), CausaAI (Netherlands), Causa (UK), Lifesight (US), Actable AI (UK), biotx.ai (Germany), Howso (US), VELDT (Japan), and CML Insight (US) among others in the Causal AI market. The report also helps stakeholders understand the pulse of the Causal AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.