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Nov, 11 2022

全球人工智慧即服務市場在預期期間以 35.30% 的速度呈指數級增長

預計全球人工智慧即服務市場在 2021 年至 2028 年的預測期內將以每年 35.30% 的速度成長，並且由於對 API 和 SDK 形式的人工智慧服務的需求增加，預計價值將達到 493.3 億美元。

另一方面，缺乏熟練的員工和資料安全的敏感度預計將阻礙上述預測期內的市場成長。缺乏監管標準預計將對人工智慧服務市場帶來挑戰。

人工智慧即服務市場 場景

根據 Data Bridge Market Research 的調查，由於業務 流程對預測和智慧自動化的需求很高，以及電子製造商在各種物聯網設備中越來越多地採用人工智慧技術，人工智慧即服務市場正在不斷升級 。此外，快速數位化和軟體即服務（SaaS）等先進商品服務的採用率增加對人工智慧即服務市場產生了正面影響。

此外，對智慧商業應用的需求不斷增長以及對人工智慧服務整合商的需求不斷增加，為市場參與者帶來了獲利機會。

現在的問題是，人工智慧即服務市場瞄準的其他地區有哪些？ Data Bridge Market Research 估計，由於 IT 服務和解決方案滲透率的提高以及該地區電子商務活動的增加，亞太地區預計將在 2021 年至 2028 年的預測期內出現顯著增長。

如欲了解更多有關人工智慧即服務市場的分析，請向我們的分析師索取簡報，https://www.databridgemarketresearch.com/speak-to-analyst/ ?dbmr= global-artificial-intelligence-as-a-service-market

人工智慧即服務市場 範圍

人工智慧即服務市場按國家細分為：北美的美國、加拿大、墨西哥、德國、瑞典、波蘭、丹麥、義大利、英國、法國、西班牙、荷蘭、比利時、瑞士、土耳其、俄羅斯、歐洲的其他地區、歐洲的其他地區、日本、中國、印度、韓國、紐西蘭、越南、澳大利亞、新加坡、馬來西亞、泰國、印尼、菲律賓、亞太地區（APAC）的其他地區、巴西、阿根廷、南美洲的其他地區（南美洲的一部分）、阿聯酋、沙烏地阿拉伯、阿曼、卡達、科威特、南非、中東和非洲（MEA）的其他地區（中東和非洲的一部分）。

  • 所有基於國家的人工智慧即服務市場分析都將基於最大粒度進行進一步細分。人工智慧即服務市場已根據技術細分為機器學習、深度學習和 自然語言處理。在雲端的基礎上，人工智慧即服務市場細分為公有、私有和 混合。人工智慧即服務市場根據服務類型細分為軟體工具和服務。根據企業規模，人工智慧即服務市場細分為中小型企業和大型企業。人工智慧即服務市場的最終用戶部分分為銀行、金融服務和保險、醫療保健和生命科學、電信、零售、政府和國防、製造業、能源等。

  • 人工智慧即服務通常是指提供開箱即用的人工智慧解決方案的公司。

要了解有關該研究的更多信息，請點擊下面提到的連結：https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-as-a-service-market

人工智慧即服務市場 產業趨勢及 2028 年預測中涵蓋的關鍵要點

  • 市場規模

  • 市場新銷售

  • 市場替代銷售量

  • 品牌市場

  • 市場程序量

  • 市場產品價格分析

  • 市場監理框架及變化

  • 各地區市場佔有率

  • 市場競爭對手的最新動態

  • 市場即將推出的應用程式

  • 市場創新者研究

 報告中涉及的主要市場競爭對手

  • IBM

  • Google

  • 微軟

  • Salesforce

  • 亞馬遜網路服務公司

  • FICO、SAS 研究所

  • IRIS 人工智慧

  • SAP SE

  • BigML公司

  • 絕對數據

  • 雨鳥科技有限公司

  • 篩

  • 英特爾公司

  • 世紀軟體

  • 高通

  • 西門子

  • Next IT Corp

  • 數據機器人公司

  • Yottamine Analytics 公司

以上是報告中涵蓋的關鍵參與者，要了解更多公司人工智慧即服務公司的詳盡列表，請聯絡：https://www.databridgemarketresearch.com/toc/ ?dbmr=global-artificial-intelligence-as-a-service-market

研究方法：全球人工智慧即服務市場

資料收集和基準年分析是使用具有大樣本量的資料收集模組完成的。使用市場統計和相干模型來分析和估計市場數據。市場佔有率分析和關鍵趨勢分析也是市場報告的主要成功因素。如需了解更多信息，請要求分析師致電或提出您的詢問。

DBMR 研究團隊使用的關鍵研究方法是資料三角測量，其中涉及資料探勘、資料變數對市場的影響分析以及初步（產業專家）驗證。除此之外，資料模型還包括供應商定位網格、市場時間軸分析、市場概覽和指南、公司定位網格、公司市場份額分析、測量標準、全球與區域和供應商份額分析。要了解有關研究方法的更多信息，請向我們的行業專家進行諮詢。

相關報告

瀏覽 ICT 類別相關報告@ https://www.databridgemarketresearch.com/report-category/information-and-communication-technology

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