クラウドAI市場 – 2029年までの世界予測

Cloud AI Market – Global Forecast To 2029

クラウドAI市場 – クラウドAIインフラストラクチャ (コンピューティング、ストレージ、ネットワーク)、AI および MLプラットフォーム (Auto ML)、MLOps およびライフサイクル管理 (AIワークフローオーケストレーション)、AIaaS、テクノロジー (生成AI およびその他の AI) – 2029年までの世界予測
Cloud AI Market by Cloud AI Infrastructure (Compute, Storage, Network), AI & ML Platforms (Auto ML), MLOps and Lifecycle Management (AI Workflow Orchestration), AIaaS, Technology (Generative AI and Other AI) – Global Forecast to 2029

The cloud AI market will grow from USD 80.30 billion in 2024 to USD 327.15 billion by 2029 at a compounded annual growth rate (CAGR) of 32.4% during the forecast period. Cloud AI transforms technology use across industries, including manufacturing, healthcare, finance, and retail. For instance, hospitals employ cloud AI to forecast health trends and quickly evaluate medical data, assisting physicians in making better decisions for their patients.

クラウドAI 市場は、予測期間中に 32.4% の年間複利成長率 (CAGR) で、2024 年の 803 億米ドルから 2029 年までに 3,271 億 5000 万米ドルに成長すると予想されます。

クラウドAI市場 – 2029年までの世界予測
cloud-ai-market-ecosystem

Some of the significant cloud AI market vendors are Google (US), IBM (US), AWS (US), Microsoft (US), Oracle (US), Nvidia (US), Salesforce (US), SAP (Germany), Alibaba Cloud (China), HPE (US), and Intel (US).

The report provides insights on the following pointers:

Analysis of key drivers (provide the necessary infrastructure and scalability for gen AI applications, allowing organizations to harness massive datasets and computational power), restraints (many businesses are cautious about adopting cloud-based AI solutions due to concerns over data ownership, encryption, and the potential misuse of AI-powered insights), opportunities (as technologies like the IoT the need for AI-driven solutions that can manage, analyze, and optimize the vast amounts of data generated by these innovations is increasing), and challenges (complexity of AI integration is a significant challenge for the cloud AI market, particularly for businesses with limited technical expertise).

  • Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the cloud AI industry.
  • Market Development: In-depth details regarding profitable markets: the paper examines the global cloud AI industry.
  • Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the cloud AI industry.
  • Competitive Assessment: Thorough analysis of the market shares, expansion plans, and service portfolios of the top competitors in the cloud AI industry, such as Google (US), IBM (US), AWS (US), Microsoft (US), and Oracle (US).