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市场调查报告书
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1555664

AIaaS(Artificial Intelligence as a Service)市场:全球产业分析，规模，占有率，成长，趋势，预测，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个工作天内

价格
简介目录

Persistence Market Research最近发布了一份关于全球AIaaS（人工智慧即服务）市场的详细研究报告。该报告全面评估了基本的市场动态，包括驱动因素、趋势、机会和挑战，并提供了对市场结构的详细见解。

主要的洞察

  • AIaaS市场规模（2024年）：103亿美元
  • 预计市值（2031年）：824亿美元
  • 世界市场成长率（CAGR 2024年～2031年）：34.6%

AIaaS市场 - 报告范围:

AIaaS（人工智慧即服务）为组织提供人工智慧功能，无需对基础设施或专业知识进行大量投资。该服务包括以订阅或即用即付模式提供的各种人工智慧工具和平台。 AIaaS 的关键组成部分包括机器学习、自然语言处理、机器人技术和认知运算。该市场服务于医疗保健、金融、零售和製造等行业，提供高度可扩展的人工智慧解决方案，以增强业务运营、改善决策并推动创新。

市场成长的推动要素:

全球AIaaS市场受到几个关键因素的推动，包括对人工智慧驱动的分析和洞察的需求不断增长、云端运算技术的进步以及各种业务流程中对自动化的需求不断增长。透过将人工智慧整合到营运中，公司可以利用大量数据进行预测分析，以提高营运效率和客户体验。此外，随着大数据的兴起和物联网设备的普及，大量数据正在产生，增加了对有效处理和分析这些资讯的 AIaaS 解决方案的需求。人工智慧在诊断和个人化治疗的医疗保健、诈欺检测和风险管理的金融等领域越来越多地采用，也进一步加速了市场的成长。

阻碍市场要素:

儘管成长前景广阔，AIaaS 市场仍面临资料隐私问题、实施成本高昂以及缺乏熟练专业人员等挑战。使用处理敏感资讯的人工智慧技术会产生资料隐私和安全问题，需要采取强有力的措施来保护资料完整性。此外，整合 AIaaS 解决方案的初始成本可能很高，特别是对于可能面临预算限制的中小型企业而言。采用的另一个障碍是缺乏合格的人工智慧专家来有效管理和部署人工智慧解决方案。应对这些挑战需要产业利害关係人制定创新的解决方案和策略，以确保资料安全并控製成本，同时培养熟练的劳动力。

市场机会:

由于人工智慧技术的进步、不断变化的业务需求以及云端基础设施可用性的提高，AIaaS 市场带来了巨大的商机。深度学习、神经网路等先进人工智慧演算法和模型的发展，为AIaaS在各行业的应用开闢了新的途径。此外，AIaaS 扩展到新兴市场，企业开始采用人工智慧解决方案来获得竞争优势，这提供了巨大的成长潜力。与人工智慧服务供应商和技术公司的策略合作伙伴关係、对人工智慧研发的投资以及部署负担得起且用户友好的人工智慧解决方案对于利用这些机会并维持市场成长至关重要。

本报告解决的关键问题

  • 推动全球AIaaS市场成长的关键因素有哪些？
  • 哪些人工智慧技术和应用正在引领各行业采用 AIaaS？
  • 技术进步如何改变AIaaS市场的竞争格局？
  • 谁是 AIaaS 市场的主要参与者？ 他们采取什么策略来维持市场地位？
  • 全球AIaaS市场有哪些新趋势与未来前景？

目录

第1章 摘要整理

第2章 市场概要

  • 市场范围和定义
  • 市场动态
    • 促进因素
    • 阻碍因素
    • 机会
    • 课题
    • 主要的趋势
  • 宏观经济要素
    • 全球各部门展望
    • 全球GDP成长展望
  • COVID-19影响分析
  • 预测要素 - 相关性及影响

第3章 附加价值的洞察

  • 服务招聘分析
  • 技术评估
  • 法规情形
  • 供应链分析
  • 主要的交易与合併
  • 大环境分析
  • 波特的五力分析

第4章 全球AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

  • 主要的亮点
    • 市场规模(10亿美元)和与前一年同期比较成长率
    • 绝对额的机会
  • 市场规模(10亿美元)的分析与预测
    • 过去的市场规模(10亿美元)的分析，2019年～2023年
    • 目前市场规模(10亿美元)的分析与预测，2023～2031年
  • 全球AIaaS(Artificial Intelligence as a Service)市场展望:技术
    • 简介/主要调查结果
    • 过去的市场规模(10亿美元)的分析，各技术，2019年～2023年
    • 目前市场规模(10亿美元)的分析与预测，各技术，2024年～2031年
      • 机器学习
      • computer vision
  • 市场魅力分析:技术
  • 全球AIaaS(Artificial Intelligence as a Service)市场展望:服务
    • 简介/主要调查结果
    • 过去的市场规模(10亿美元)的分析，各服务形式，2019年～2023年
    • 目前市场规模(10亿美元)的分析与预测，各服务形式，2024年～2031年
      • 软体
      • 服务
  • 市场魅力分析:服务类型
  • 全球AIaaS(Artificial Intelligence as a Service)市场展望:企业规模
    • 简介/主要调查结果
    • 过去的市场规模(10亿美元)的分析，不同企业规模，2019年～2023年
    • 目前市场规模(10亿美元)的分析与预测，不同企业规模，2024年～2031年
      • 中小企业
      • 大企业
  • 市场魅力分析:企业规模

第5章 全球AIaaS(Artificial Intelligence as a Service)市场展望:地区

  • 主要的亮点
  • 过去的市场规模(10亿美元)的分析，各地区，2019年～2023年
  • 目前市场规模(10亿美元)的分析与预测，各地区，2024年～2031年
    • 北美
    • 欧洲
    • 东亚
    • 南亚·大洋洲
    • 南美
    • 中东·非洲
  • 市场魅力分析:地区

第6章 北美的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

第7章 欧洲的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019-2023)与预测(2024年～2031年)

第8章 东亚的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

第9章 南亚·大洋洲的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

第10章 南美的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

第11章 中东·非洲的AIaaS(Artificial Intelligence as a Service)市场展望:实际成果(2019年～2023年)与预测(2024年～2031年)

第12章 竞争情形

  • 市场占有率分析，2023年
  • 市场结构
    • 竞争激烈化地图:各市场
    • 竞争仪表板
  • 企业简介(详细内容 - 概要，财务，策略，最近的趋势)
    • 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 附录

  • 调查手法
  • 调查的前提条件
  • 缩写和简称
简介目录
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