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市場調査レポート
商品コード
1623802
人工知能(AI)プラットフォームの市場規模、シェア、成長分析、コンポーネント別、展開モード別、組織規模別、地域別 - 産業予測、2025~2032年Artificial Intelligence (AI) Platform Market Size, Share, Growth Analysis, By Component (Software, Services), By Deployment Mode (Cloud, On-Premises), By Organization Size, By Region - Industry Forecast 2025-2032 |
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人工知能(AI)プラットフォームの市場規模、シェア、成長分析、コンポーネント別、展開モード別、組織規模別、地域別 - 産業予測、2025~2032年 |
出版日: 2024年12月25日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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人工知能(AI)プラットフォームの世界市場規模は2023年に113億米ドルと評価され、予測期間(2025-2032年)のCAGRは23.9%で、2024年の140億米ドルから2032年には777億5,000万米ドルに成長する見通しです。
世界のAIプラットフォーム市場は、絶え間ない技術革新と大手ハイテク企業による多額の投資によって変革的な進化を遂げています。Googleが画期的なマルチモーダルAIモデルであるGeminiを発表したことは、この動向を例証するものであり、自動車、ヘルスケア、小売、金融、製造など、さまざまな分野でAI能力の向上に取り組んでいることを示すものです。さらに、マクドナルドの2020年構想のようなAIへの戦略的投資は、顧客体験を向上させるAIの能力に対する認識の高まりを浮き彫りにしています。求職者が専門知識を積極的にアピールする中、AIスキルを持つ専門家の需要は急増しています。ブBlackBerryのCylance AI Platformは、特にサイバーセキュリティにおいて、脅威評価を強化するためにユーザーのコンテキストを分析することで、AIの役割が拡大していることをさらに示しています。データソースが急増する中、AIの自動化と洞察の可能性は依然として大きく、エンタープライズ・アプリケーションとセキュリティ・ソリューションの堅調な市場成長が期待されています。
Global Artificial Intelligence (AI) Platform Market size was valued at USD 11.3 billion in 2023 and is poised to grow from USD 14.0 billion in 2024 to USD 77.75 billion by 2032, growing at a CAGR of 23.9% during the forecast period (2025-2032).
The global AI platform market is undergoing a transformative evolution driven by relentless innovation and substantial investments from major tech companies. Google's launch of Gemini, a groundbreaking multimodal AI model, exemplifies this trend and signals a commitment to advancing AI capabilities across various sectors, including automotive, healthcare, retail, finance, and manufacturing. Additionally, strategic investments in AI, like McDonald's 2020 initiative, highlight the increasing recognition of AI's ability to enhance customer experiences. The demand for AI-skilled professionals is surging, as job seekers actively showcase their expertise. BlackBerry's Cylance AI Platform further illustrates AI's expanding role, particularly in cybersecurity by analyzing user context for enhanced threat assessment. As data sources proliferate, AI's potential for automation and insights remains vast, promising robust market growth in enterprise applications and security solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (Ai) Platform 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 Artificial Intelligence (Ai) Platform Market Segmental Analysis
Global Artificial Intelligence (AI) Platform Market is segmented by Component, Deployment Mode, Organization Size, Application, End User 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 Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Application, the market is segmented into Forecast and Prescriptive Models, Chat Bots, Speech Recognition, Text Recognition and Others. Based on End User, the market is segmented into Manufacturing, Healthcare, Banking Financial Services and Insurance, Research and Academia Transportation, Retail and Ecommerce and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Artificial Intelligence (Ai) Platform Market
A key driver propelling the Global Artificial Intelligence (AI) Platform market is the increasing focus on data-driven decision-making across diverse sectors. Organizations are increasingly recognizing the value of leveraging data to gain insights into consumer behavior, current market trends, and enhance operational efficiencies. Consequently, the adoption of AI platforms is becoming essential, as they facilitate the collection, processing, and analysis of vast amounts of data that underpin informed decision-making processes. This shift towards data-centric strategies underscores the critical role of AI in enabling businesses to navigate the complexities of the modern marketplace successfully.
Restraints in the Global Artificial Intelligence (Ai) Platform Market
One of the primary factors hindering the growth of the global artificial intelligence (AI) platform market is the growing apprehension surrounding data privacy and security. Organizations often handle highly sensitive information, making them susceptible to data breaches and unauthorized access. As digital intelligence platforms become more prevalent, they will necessitate the implementation of stringent data protection regulations and security measures, particularly in regions with rigorous data privacy legislations. This challenge poses significant barriers for companies seeking to leverage AI technologies while ensuring compliance with evolving security standards and maintaining the trust of consumers in an increasingly digital landscape.
Market Trends of the Global Artificial Intelligence (Ai) Platform Market
The Global Artificial Intelligence (AI) Platform market is increasingly gravitating towards real-time analytics, reflecting a significant trend where businesses prioritize instant, data-driven decision-making capabilities. Organizations are recognizing the essential role of digital intelligence systems that facilitate swift access to analytics, allowing them to respond proactively to dynamic market changes, shifting consumer preferences, and emerging trends. This demand for real-time insights is driving innovation within AI platforms, pushing vendors to enhance their offerings with advanced machine learning and predictive analytics features. Consequently, companies are harnessing these capabilities to achieve a competitive edge, ultimately propelling market growth as they adapt to an ever-evolving digital landscape.