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市場調查報告書
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1555664

AIaaS(Artificial Intelligence as a Service)市場:全球產業分析，規模，佔有率，成長，趨勢，預測，2024年～2031年

Artificial Intelligence as a Service Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2031
出版日期: | 出版商: Persistence Market Research | 英文 181 Pages | 商品交期: 2-5個工作天內

價格
簡介目錄

Persistence Market Research最近發布了一份關於全球AIaaS（人工智慧即服務）市場的詳細研究報告。該報告全面評估了基本的市場動態，包括驅動因素、趨勢、機會和挑戰，並提供了對市場結構的詳細見解。

主要的洞察

  • AIaaS市場規模（2024年）：103億美元
  • 預計市值（2031年）：824億美元
  • 世界市場成長率（CAGR 2024年～2031年）：34.6%

AIaaS市場 - 報告範圍:

AIaaS（人工智慧即服務）為組織提供人工智慧功能，無需對基礎設施或專業知識進行大量投資。該服務包括以訂閱或即用即付模式提供的各種人工智慧工具和平台。 AIaaS 的關鍵組成部分包括機器學習、自然語言處理、機器人技術和認知運算。該市場服務於醫療保健、金融、零售和製造等行業，提供高度可擴展的人工智慧解決方案，以增強業務運營、改善決策並推動創新。

市場成長的推動要素:

全球AIaaS市場受到幾個關鍵因素的推動，包括對人工智慧驅動的分析和洞察的需求不斷增長、雲端運算技術的進步以及各種業務流程中對自動化的需求不斷增長。透過將人工智慧整合到營運中，公司可以利用大量數據進行預測分析，以提高營運效率和客戶體驗。此外，隨著大數據的興起和物聯網設備的普及，大量數據正在產生，增加了對有效處理和分析這些資訊的 AIaaS 解決方案的需求。人工智慧在診斷和個人化治療的醫療保健、詐欺檢測和風險管理的金融等領域越來越多地採用，也進一步加速了市場的成長。

阻礙市場要素:

儘管成長前景廣闊，AIaaS 市場仍面臨資料隱私問題、實施成本高昂以及缺乏熟練專業人員等挑戰。使用處理敏感資訊的人工智慧技術會產生資料隱私和安全問題，需要採取強有力的措施來保護資料完整性。此外，整合 AIaaS 解決方案的初始成本可能很高，特別是對於可能面臨預算限制的中小型企業而言。採用的另一個障礙是缺乏合格的人工智慧專家來有效管理和部署人工智慧解決方案。應對這些挑戰需要產業利害關係人制定創新的解決方案和策略，以確保資料安全並控製成本，同時培養熟練的勞動力。

市場機會:

由於人工智慧技術的進步、不斷變化的業務需求以及雲端基礎設施可用性的提高，AIaaS 市場帶來了巨大的商機。深度學習、神經網路等先進人工智慧演算法和模型的發展，為AIaaS在各行業的應用開闢了新的途徑。此外，AIaaS 擴展到新興市場，企業開始採用人工智慧解決方案來獲得競爭優勢，這提供了巨大的成長潛力。與人工智慧服務供應商和技術公司的策略合作夥伴關係、對人工智慧研發的投資以及部署負擔得起且用戶友好的人工智慧解決方案對於利用這些機會並維持市場成長至關重要。

本報告解決的關鍵問題

  • 推動全球AIaaS市場成長的關鍵因素有哪些？
  • 哪些人工智慧技術和應用正在引領各行業採用 AIaaS？
  • 技術進步如何改變AIaaS市場的競爭格局？
  • 誰是 AIaaS 市場的主要參與者？ 他們採取什麼策略來維持市場地位？
  • 全球AIaaS市場有哪些新趨勢與未來前景？

目錄

第1章 摘要整理

第2章 市場概要

  • 市場範圍和定義
  • 市場動態
    • 促進因素
    • 阻礙因素
    • 機會
    • 課題
    • 主要的趨勢
  • 宏觀經濟要素
    • 全球各部門展望
    • 全球GDP成長展望
  • COVID-19影響分析
  • 預測要素 - 相關性及影響

第3章 附加價值的洞察

  • 服務招聘分析
  • 技術評估
  • 法規情形
  • 供應鏈分析
  • 主要的交易與合併
  • 大環境分析
  • 波特的五力分析

第4章 全球AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

  • 主要的亮點
    • 市場規模(10億美元)和與前一年同期比較成長率
    • 絕對額的機會
  • 市場規模(10億美元)的分析與預測
    • 過去的市場規模(10億美元)的分析，2019年～2023年
    • 目前市場規模(10億美元)的分析與預測，2023～2031年
  • 全球AIaaS(Artificial Intelligence as a Service)市場展望:技術
    • 簡介/主要調查結果
    • 過去的市場規模(10億美元)的分析，各技術，2019年～2023年
    • 目前市場規模(10億美元)的分析與預測，各技術，2024年～2031年
      • 機器學習
      • computer vision
  • 市場魅力分析:技術
  • 全球AIaaS(Artificial Intelligence as a Service)市場展望:服務
    • 簡介/主要調查結果
    • 過去的市場規模(10億美元)的分析，各服務形式，2019年～2023年
    • 目前市場規模(10億美元)的分析與預測，各服務形式，2024年～2031年
      • 軟體
      • 服務
  • 市場魅力分析:服務類型
  • 全球AIaaS(Artificial Intelligence as a Service)市場展望:企業規模
    • 簡介/主要調查結果
    • 過去的市場規模(10億美元)的分析，不同企業規模，2019年～2023年
    • 目前市場規模(10億美元)的分析與預測，不同企業規模，2024年～2031年
      • 中小企業
      • 大企業
  • 市場魅力分析:企業規模

第5章 全球AIaaS(Artificial Intelligence as a Service)市場展望:地區

  • 主要的亮點
  • 過去的市場規模(10億美元)的分析，各地區，2019年～2023年
  • 目前市場規模(10億美元)的分析與預測，各地區，2024年～2031年
    • 北美
    • 歐洲
    • 東亞
    • 南亞·大洋洲
    • 南美
    • 中東·非洲
  • 市場魅力分析:地區

第6章 北美的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

第7章 歐洲的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019-2023)與預測(2024年～2031年)

第8章 東亞的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

第9章 南亞·大洋洲的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

第10章 南美的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

第11章 中東·非洲的AIaaS(Artificial Intelligence as a Service)市場展望:實際成果(2019年～2023年)與預測(2024年～2031年)

第12章 競爭情形

  • 市場佔有率分析，2023年
  • 市場結構
    • 競爭激烈化地圖:各市場
    • 競爭儀表板
  • 企業簡介(詳細內容 - 概要，財務，策略，最近的趨勢)
    • Amazon Web Services, Inc.
    • Salesforce, Inc.
    • International Business Machines Corporation
    • Intel Corporation
    • Microsoft
    • BigML, Inc.
    • Google LLC
    • SAP SE
    • Fair Isaac Corporation
    • SAS Institute Inc.

第13章 附錄

  • 調查手法
  • 調查的前提條件
  • 縮寫和簡稱
簡介目錄
Product Code: PMRREP34678

Persistence Market Research has recently released an in-depth report on the global Artificial Intelligence as a Service (AIaaS) market. This publication offers a thorough evaluation of essential market dynamics, including drivers, trends, opportunities, and challenges, providing detailed insights into the market structure.

Key Insights:

  • AIaaS Market Size (2024E): US$10.3 Bn
  • Projected Market Value (2031F): US$82.4 Bn
  • Global Market Growth Rate (CAGR 2024 to 2031): 34.6%

AIaaS Market - Report Scope:

Artificial Intelligence as a Service (AIaaS) provides organizations with AI capabilities without the need for significant investments in infrastructure or expertise. This service includes various AI tools and platforms offered on a subscription basis or through pay-as-you-go models. Key components of AIaaS include machine learning, natural language processing, robotics, and cognitive computing. The market caters to industries such as healthcare, finance, retail, and manufacturing, providing scalable AI solutions to enhance business operations, improve decision-making, and drive innovation.

Market Growth Drivers:

The global AIaaS market is driven by several key factors, including increasing demand for AI-driven analytics and insights, advancements in cloud computing technologies, and the growing need for automation in various business processes. The integration of AI into business operations allows companies to leverage large volumes of data for predictive analytics, enhancing operational efficiency and customer experiences. Moreover, the rise of big data and the proliferation of IoT devices generate vast amounts of data, fueling the demand for AIaaS solutions to process and analyze this information effectively. The growing adoption of AI in sectors such as healthcare for diagnostics and personalized treatment, and in finance for fraud detection and risk management, further accelerates market growth.

Market Restraints:

Despite its promising growth prospects, the AIaaS market faces challenges related to data privacy concerns, high implementation costs, and a shortage of skilled professionals. Data privacy and security issues arise from the use of AI technologies that handle sensitive information, necessitating robust measures to protect data integrity. Additionally, the initial cost of integrating AIaaS solutions can be high, particularly for small and medium-sized enterprises, which may face budget constraints. The scarcity of qualified AI professionals to manage and deploy AI solutions effectively poses another barrier to widespread adoption. Addressing these challenges requires industry stakeholders to develop innovative solutions and strategies to ensure data security and manage costs while fostering a skilled workforce.

Market Opportunities:

The AIaaS market presents significant opportunities driven by advancements in AI technologies, evolving business needs, and the increasing availability of cloud infrastructure. The development of advanced AI algorithms and models, such as deep learning and neural networks, opens new avenues for AIaaS applications across various industries. Additionally, the expansion of AIaaS into emerging markets, where businesses are beginning to adopt AI solutions to gain a competitive edge, offers substantial growth potential. Strategic partnerships between AI service providers and technology companies, investment in AI research and development, and the introduction of affordable, user-friendly AI solutions are essential to capitalize on these opportunities and sustain market growth.

Key Questions Answered in the Report:

  • What are the primary factors driving the growth of the AIaaS market globally?
  • Which AI technologies and applications are leading the adoption of AIaaS across different industries?
  • How are technological advancements reshaping the competitive landscape of the AIaaS market?
  • Who are the key players contributing to the AIaaS market, and what strategies are they employing to maintain market relevance?
  • What are the emerging trends and future prospects in the global AIaaS market?

Competitive Intelligence and Business Strategy:

Leading players in the global AIaaS market, including IBM Corporation, Google LLC, Amazon Web Services (AWS), Microsoft Corporation, and Oracle Corporation, focus on innovation, strategic partnerships, and expanding their service portfolios to gain a competitive edge. These companies invest heavily in R&D to develop cutting-edge AI technologies and enhance their AIaaS offerings. Collaborations with industry leaders, tech giants, and startups facilitate market access and promote technology adoption. Moreover, a strong emphasis on customer support, tailored solutions, and industry-specific applications drives market growth and strengthens customer relationships.

Key Companies Profiled:

  • IBM Corporation
  • Google LLC
  • Amazon Web Services (AWS)
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce.com Inc.
  • Alibaba Cloud
  • SAP SE
  • Intel Corporation
  • Baidu, Inc.

Artificial Intelligence as a Service market Segmentation

By Technology

  • Machine Learning
  • Computer Vision

By Service Type

  • Software
  • Services

By Enterprise Size

  • Small & Medium Enterprises
  • Large Enterprises

By Region

  • North America
  • Latin America
  • Europe
  • South Asia & Oceania
  • East Asia

Table of Contents

1. Executive Summary

  • 1.1. Global Artificial Intelligence as a Service Market Snapshot, 2024-2031
  • 1.2. Market Opportunity Assessment, 2024-2031, US$ Mn
  • 1.3. Key Market Trends
  • 1.4. Future Market Projections
  • 1.5. Premium Market Insights
  • 1.6. Industry Developments and Key Market Events
  • 1.7. PMR Analysis and Recommendations

2. Market Overview

  • 2.1. Market Scope and Definition
  • 2.2. Market Dynamics
    • 2.2.1. Drivers
    • 2.2.2. Restraints
    • 2.2.3. Opportunity
    • 2.2.4. Challenges
    • 2.2.5. Key Trends
  • 2.3. Macro-Economic Factors
    • 2.3.1. Global Sectorial Outlook
    • 2.3.2. Global GDP Growth Outlook
  • 2.4. COVID-19 Impact Analysis
  • 2.5. Forecast Factors - Relevance and Impact

3. Value Added Insights

  • 3.1. Service Adoption Analysis
  • 3.2. Technology Assessment
  • 3.3. Regulatory Landscape
  • 3.4. Supply Chain Analysis
  • 3.5. Key Deals and Mergers
  • 3.6. PESTLE Analysis
  • 3.7. Porter's Five Force Analysis

4. Global Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 4.1. Key Highlights
    • 4.1.1. Market Size (US$ Bn) and Y-o-Y Growth
    • 4.1.2. Absolute $ Opportunity
  • 4.2. Market Size (US$ Bn) Analysis and Forecast
    • 4.2.1. Historical Market Size (US$ Bn) Analysis, 2019-2023
    • 4.2.2. Current Market Size (US$ Bn) Analysis and Forecast, 2023-2031
  • 4.3. Global Artificial Intelligence as a Service Market Outlook: Technology
    • 4.3.1. Introduction / Key Findings
    • 4.3.2. Historical Market Size (US$ Bn) Analysis, By Technology, 2019-2023
    • 4.3.3. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
      • 4.3.3.1. Machine Learning
      • 4.3.3.2. Computer Vision
  • 4.4. Market Attractiveness Analysis: Technology
  • 4.5. Global Artificial Intelligence as a Service Market Outlook: Service
    • 4.5.1. Introduction / Key Findings
    • 4.5.2. Historical Market Size (US$ Bn) Analysis, By Service Type, 2019-2023
    • 4.5.3. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
      • 4.5.3.1. Software
      • 4.5.3.2. Services
  • 4.6. Market Attractiveness Analysis: Service Type
  • 4.7. Global Artificial Intelligence as a Service Market Outlook: Enterprise Size
    • 4.7.1. Introduction / Key Findings
    • 4.7.2. Historical Market Size (US$ Bn) Analysis, By Enterprise Size, 2019-2023
    • 4.7.3. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
      • 4.7.3.1. Small & Medium Enterprises
      • 4.7.3.2. Large Enterprises
  • 4.8. Market Attractiveness Analysis: Enterprise Size

5. Global Artificial Intelligence as a Service Market Outlook: Region

  • 5.1. Key Highlights
  • 5.2. Historical Market Size (US$ Bn) Analysis, By Region, 2019-2023
  • 5.3. Current Market Size (US$ Bn) Analysis and Forecast, By Region, 2024-2031
    • 5.3.1. North America
    • 5.3.2. Europe
    • 5.3.3. East Asia
    • 5.3.4. South Asia and Oceania
    • 5.3.5. Latin America
    • 5.3.6. Middle East & Africa
  • 5.4. Market Attractiveness Analysis: Region

6. North America Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 6.1. Key Highlights
  • 6.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 6.2.1. By Country
    • 6.2.2. By Technology
    • 6.2.3. By Service Type
    • 6.2.4. By Enterprise Size
  • 6.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 6.3.1. U.S.
    • 6.3.2. Canada
  • 6.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 6.4.1. Machine Learning
    • 6.4.2. Computer Vision
  • 6.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 6.5.1. Software
    • 6.5.2. Services
  • 6.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 6.6.1. Small & Medium Enterprises
    • 6.6.2. Large Enterprises
  • 6.7. Market Attractiveness Analysis

7. Europe Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 7.1. Key Highlights
  • 7.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 7.2.1. By Country
    • 7.2.2. By Technology
    • 7.2.3. By Service Type
    • 7.2.4. By Enterprise Size
  • 7.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 7.3.1. Germany
    • 7.3.2. France
    • 7.3.3. U.K.
    • 7.3.4. Italy
    • 7.3.5. Spain
    • 7.3.6. Russia
    • 7.3.7. Turkey
    • 7.3.8. Rest of Europe
  • 7.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 7.4.1. Machine Learning
    • 7.4.2. Computer Vision
  • 7.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 7.5.1. Software
    • 7.5.2. Services
  • 7.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 7.6.1. Small & Medium Enterprises
    • 7.6.2. Large Enterprises
  • 7.7. Market Attractiveness Analysis

8. East Asia Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 8.1. Key Highlights
  • 8.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 8.2.1. By Country
    • 8.2.2. By Technology
    • 8.2.3. By Service Type
    • 8.2.4. By Enterprise Size
  • 8.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 8.3.1. China
    • 8.3.2. Japan
    • 8.3.3. South Korea
  • 8.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 8.4.1. Machine Learning
    • 8.4.2. Computer Vision
  • 8.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 8.5.1. Software
    • 8.5.2. Services
  • 8.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 8.6.1. Small & Medium Enterprises
    • 8.6.2. Large Enterprises
  • 8.7. Market Attractiveness Analysis

9. South Asia & Oceania Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 9.1. Key Highlights
  • 9.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 9.2.1. By Country
    • 9.2.2. By Technology
    • 9.2.3. By Service Type
    • 9.2.4. By Enterprise Size
  • 9.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 9.3.1. India
    • 9.3.2. Southeast Asia
    • 9.3.3. ANZ
    • 9.3.4. Rest of South Asia & Oceania
  • 9.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 9.4.1. Machine Learning
    • 9.4.2. Computer Vision
  • 9.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 9.5.1. Software
    • 9.5.2. Services
  • 9.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 9.6.1. Small & Medium Enterprises
    • 9.6.2. Large Enterprises
  • 9.7. Market Attractiveness Analysis

10. Latin America Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 10.1. Key Highlights
  • 10.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 10.2.1. By Country
    • 10.2.2. By Technology
    • 10.2.3. By Service Type
    • 10.2.4. By Enterprise Size
  • 10.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 10.3.1. Brazil
    • 10.3.2. Mexico
    • 10.3.3. Rest of Latin America
  • 10.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 10.4.1. Machine Learning
    • 10.4.2. Computer Vision
  • 10.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 10.5.1. Software
    • 10.5.2. Services
  • 10.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 10.6.1. Small & Medium Enterprises
    • 10.6.2. Large Enterprises
  • 10.7. Market Attractiveness Analysis

11. Middle East & Africa Artificial Intelligence as a Service Market Outlook: Historical (2019-2023) and Forecast (2024-2031)

  • 11.1. Key Highlights
  • 11.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019-2023
    • 11.2.1. By Country
    • 11.2.2. By Technology
    • 11.2.3. By Service Type
    • 11.2.4. By Enterprise Size
  • 11.3. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024-2031
    • 11.3.1. GCC Countries
    • 11.3.2. Egypt
    • 11.3.3. South Africa
    • 11.3.4. Northern Africa
    • 11.3.5. Rest of Middle East & Africa
  • 11.4. Current Market Size (US$ Bn) Analysis and Forecast, By Technology, 2024-2031
    • 11.4.1. Machine Learning
    • 11.4.2. Computer Vision
  • 11.5. Current Market Size (US$ Bn) Analysis and Forecast, By Service Type, 2024-2031
    • 11.5.1. Software
    • 11.5.2. Services
  • 11.6. Current Market Size (US$ Bn) Analysis and Forecast, By Enterprise Size, 2024-2031
    • 11.6.1. Small & Medium Enterprises
    • 11.6.2. Large Enterprises
  • 11.7. Market Attractiveness Analysis

12. Competition Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. Market Structure
    • 12.2.1. Competition Intensity Mapping By Market
    • 12.2.2. Competition Dashboard
  • 12.3. Company Profiles (Details - Overview, Financials, Strategy, Recent Developments)
    • 12.3.1. Amazon Web Services, Inc.
      • 12.3.1.1. Overview
      • 12.3.1.2. Segments and Service
      • 12.3.1.3. Key Financials
      • 12.3.1.4. Market Developments
      • 12.3.1.5. Market Strategy
    • 12.3.2. Salesforce, Inc.
    • 12.3.3. International Business Machines Corporation
    • 12.3.4. Intel Corporation
    • 12.3.5. Microsoft
    • 12.3.6. BigML, Inc.
    • 12.3.7. Google LLC
    • 12.3.8. SAP SE
    • 12.3.9. Fair Isaac Corporation
    • 12.3.10. SAS Institute Inc.

13. Appendix

  • 13.1. Research Methodology
  • 13.2. Research Assumptions
  • 13.3. Acronyms and Abbreviations