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2024-2032 年按技術、組織規模、垂直產業和地區分類的人工智慧即服務市場報告

Artificial Intelligence-as-a-Service Market Report by Technology, Organizations Size, Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 138 Pages | 商品交期: 2-3個工作天內

價格

IMARC Group年，全球人工智慧即服務市場規模達到 113 億美元。人工智慧模型的開發和實施需要高水準的技術專業知識，對強大的安全措施、資料加密和合規框架的持續投資，以及開發更先進的演算法、模型和基於人工智慧的解決方案是其中的一些主要內容。

人工智慧即服務 (AIaaS) 是一種基於雲端的模型，可為個人和組織提供人工智慧功能，而無需在時間、專業知識和資源方面進行大量前期投資。該服務使用戶能夠利用複雜的人工智慧工具進行資料分析、自然語言處理、機器學習和其他智慧功能，通常透過簡單的 API 或圖形使用者介面。 AIaaS 使用者無需從頭開始開發 AI 模型，而是可以將預先訓練的、可自訂的模型整合到他們的應用程式或流程中。這使得企業能夠快速且經濟地採用人工智慧技術，無論其技術能力如何。此外，AIaaS 還可以根據業務需求靈活地擴大或縮小 AI 功能的使用，從而提供一種經濟高效的方式來試驗 AI、推動創新、提高營運效率並為客戶創造新價值。

推動人工智慧即服務 (AIaaS) 市場成長的關鍵因素之一是其可擴展性和靈活性。 AIaaS 平台設計用於滿足企業不同的需求和工作負載。隨著組織擴大或縮小其人工智慧需求，他們可以輕鬆調整 AIaaS 供應商分配的資源和運算能力。這種可擴展性使得公司無需隨著人工智慧需求的成長而投資額外的硬體或基礎設施，從而降低前期成本和營運複雜性。除此之外，開發和實施需要高水平技術專業知識（包括資料科學家和人工智慧工程師）的人工智慧模型正在為市場提供大力支援。這使得人工智慧的採用對於一些組織來說充滿挑戰且成本高昂，尤其是資源有限的中小型企業 (SME)。此外，為了確保保護客戶資料並遵守行業法規，對強大的安全措施、資料加密和合規框架的投資不斷增加，正在對市場產生積極影響。這些投資的結果是，人工智慧研究取得了重大進展，推動了更先進的演算法、模型和基於人工智慧的解決方案的開發。 AIaaS 供應商可以利用這些尖端技術為其客戶提供最先進的 AI 功能。

人工智慧即服務市場趨勢/促進因素：

雲端運算基礎設施的進步

雲端運算基礎設施的快速擴張一直是人工智慧即服務（AIaaS）的主要市場驅動力。 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud 等雲端供應商已投入大量資金開發強大且可擴展的雲端平台，以適應人工智慧應用程式的資源密集型特性。這些雲端服務提供強大的運算能力、靈活的儲存和高速網路，使公司能夠有效率且經濟高效地部署和運行人工智慧模型。這種在雲端上存取強大人工智慧功能的方式消除了對硬體和基礎設施進行大量前期投資的需要，從而使人工智慧在各個行業和企業中的採用更加民主化。隨著雲端供應商不斷增強其產品並提高人工智慧相關服務的可用性，它創造了一個良性循環，推動了進一步的採用和創新。新創公司和企業現在可以利用 AIaaS 來加速研究、產品開發和決策流程，從而提高整個營運的效率和生產力。

各行業對人工智慧解決方案的需求不斷成長

各行業對人工智慧解決方案日益成長的需求是 AIaaS 的另一個關鍵市場驅動力。同時，企業正積極尋求利用人工智慧技術獲得競爭優勢、增強客戶體驗、最佳化營運和推動創新的方法。 AIaaS 透過提供可存取、可擴展且經濟高效的 AI 功能來提供可行的解決方案，而無需組織建立和維護內部 AI 專業知識。此外，醫療保健、金融、零售、製造和物流等行業正在採用 AIaaS 來簡化流程、從大量資料集中提取見解並改善決策。例如，人工智慧驅動的預測分析在醫療保健領域用於識別患者結果並最佳化治療計劃，而在零售業，人工智慧驅動的推薦系統可增強個人化購物體驗。此外，隨著企業認知到人工智慧在解決複雜問題和從巨量資料中提取有價值的見解方面的潛力，對 AIaaS 解決方案的需求不斷成長。

人工智慧新創公司和創新的激增

人工智慧新創公司和創新的激增極大地促進了 AIaaS 的成長。隨著人工智慧成為一項變革性技術，新創公司不斷湧現，以解決利基產業挑戰並創造顛覆性解決方案。一些新創公司專注於提供滿足特定用例或行業的 AIaaS 平台，提供專門的 AI 功能和服務。這些新創公司經常利用成熟雲端供應商的資源來建立和部署他們的人工智慧模型，使他們更容易進入市場並與更大的參與者競爭。此外，新鮮想法和新穎的人工智慧應用的不斷湧入刺激了人工智慧aaS市場的良性競爭並促進創新。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球人工智慧即服務市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：依技術

  • 機器學習 (ML) 與深度學習
    • 市場走向
    • 市場預測
  • 自然語言處理（NLP）
    • 市場走向
    • 市場預測

第 7 章：市場區隔：依組織規模

  • 大型企業
    • 市場走向
    • 市場預測
  • 中小企業 (SME)
    • 市場走向
    • 市場預測

第 8 章：市場區隔：依垂直領域

  • 銀行、金融和保險 (BFSI)
    • 市場走向
    • 市場預測
  • 醫療保健和生命科學
    • 市場走向
    • 市場預測
  • 零售
    • 市場走向
    • 市場預測
  • 電信
    • 市場走向
    • 市場預測
  • 政府和國防
    • 市場走向
    • 市場預測
  • 製造業
    • 市場走向
    • 市場預測
  • 能源
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 9 章：市場區隔：按地區

  • 北美洲
    • 美國
      • 市場走向
      • 市場預測
    • 加拿大
      • 市場走向
      • 市場預測
  • 亞太
    • 中國
      • 市場走向
      • 市場預測
    • 日本
      • 市場走向
      • 市場預測
    • 印度
      • 市場走向
      • 市場預測
    • 韓國
      • 市場走向
      • 市場預測
    • 澳洲
      • 市場走向
      • 市場預測
    • 印尼
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 歐洲
    • 德國
      • 市場走向
      • 市場預測
    • 法國
      • 市場走向
      • 市場預測
    • 英國
      • 市場走向
      • 市場預測
    • 義大利
      • 市場走向
      • 市場預測
    • 西班牙
      • 市場走向
      • 市場預測
    • 俄羅斯
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場走向
      • 市場預測
    • 墨西哥
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場細分：按國家/地區
    • 市場預測

第 10 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 11 章：價值鏈分析

第 12 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 13 章：價格分析

第14章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • Amazon Web Services Inc. (Amazon.com Inc.)
    • Arm Limited (SoftBank Group Corp.)
    • DataRobot Inc.
    • FICO
    • Intel Corporation
    • International Business Machines Corporation
    • Microsoft Corporation
    • Nividia Corporation
    • Oracle Corporation
    • Salesforce Inc.
    • SAP SE
    • SAS Institute Inc.
Product Code: SR112024A6031

The global artificial intelligence-as-a-service market size reached US$ 11.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 179.6 Billion by 2032, exhibiting a growth rate (CAGR) of 35% during 2024-2032. The development and implementation of AI models requiring a high level of technical expertise, the escalating investments in robust security measures, data encryption, and compliance frameworks, and the development of more advanced algorithms, models, and AI-based solutions are some of the major factors propelling the market.

Artificial intelligence-as-a-service (AIaaS) is a cloud-based model that offers AI capabilities to individuals and organizations without the need for substantial upfront investment in time, expertise, and resources. The service enables users to leverage sophisticated AI tools for data analysis, natural language processing, machine learning, and other intelligent functions, often through simple APIs or graphical user interfaces. Instead of developing AI models from scratch, AIaaS users can integrate pre-trained, customizable models into their applications or processes. This allows businesses to adopt AI technologies quickly and affordably, regardless of their technical capabilities. Furthermore, AIaaS provides the flexibility to scale the use of AI capabilities up or down based on business needs, offering a cost-effective way to experiment with AI, drive innovation, improve operational efficiency, and create new value for customers.

One of the key factors driving the market growth for artificial intelligence-as-a-service (AIaaS) is its scalability and flexibility. AIaaS platforms are designed to accommodate the varying needs and workloads of businesses. As organizations scale up or down their AI requirements, they can easily adjust the resources and computational power allocated by the AIaaS provider. This scalability eliminates the need for companies to invest in additional hardware or infrastructure as their AI demands grow, reducing upfront costs and operational complexities. Along with this, developing and implementing AI models requiring a high level of technical expertise, including data scientists and AI engineers is significantly supporting the market. This made AI adoption challenging and expensive for several organizations, especially small and medium-sized enterprises (SMEs) with limited resources. In addition, the rising investments in robust security measures, data encryption, and compliance frameworks to ensure the protection of their customer's data and adhere to industry regulations are positively influencing the market. As a result of these investments, AI research has made significant strides, leading to the development of more advanced algorithms, models, and AI-based solutions. AIaaS providers can leverage these cutting-edge advancements to offer state-of-the-art AI capabilities to their customers.

Artificial Intelligence-as-a-Service Market Trends/Drivers:

Advancements in Cloud Computing Infrastructure

The rapid expansion of cloud computing infrastructure has been a major market driver for Artificial Intelligence-as-a-Service (AIaaS). Cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have invested heavily in developing robust and scalable cloud platforms that can accommodate the resource-intensive nature of AI applications. These cloud services offer vast computational power, flexible storage, and high-speed networking, enabling companies to deploy and run AI models efficiently and cost-effectively. This accessibility to powerful AI capabilities on the cloud eliminates the need for significant upfront investments in hardware and infrastructure, democratizing AI adoption across various industries and businesses. As cloud providers continually enhance their offerings and improve the availability of AI-related services, it creates a virtuous cycle, driving further adoption and innovation. Startups and enterprises alike can now harness AIaaS to accelerate research, product development, and decision-making processes, resulting in improved efficiency and productivity across their operations.

Growing Demand for AI Solutions Across Industries

The increasing demand for AI solutions across various industries is another critical market driver for AIaaS. Along with this, companies are actively seeking ways to leverage AI technologies to gain a competitive advantage, enhance customer experiences, optimize operations, and drive innovation. AIaaS provides a viable solution by offering accessible, scalable, and cost-effective AI capabilities without requiring organizations to build and maintain in-house AI expertise. In addition, industries such as healthcare, finance, retail, manufacturing, and logistics are embracing AIaaS to streamline processes, extract insights from vast datasets, and improve decision-making. For example, AI-driven predictive analytics are used in healthcare to identify patient outcomes and optimize treatment plans, while in retail, AI-powered recommendation systems enhance personalized shopping experiences. Moreover, the demand for AIaaS solutions is growing as businesses recognize the potential of AI in solving complex problems and extracting valuable insights from big data.

The Proliferation of AI Startups and Innovations

The proliferation of AI startups and innovations has significantly contributed to the growth of AIaaS. With AI becoming a transformative technology, startups are emerging to address niche industry challenges and create disruptive solutions. Several startups focus on delivering AIaaS platforms that cater to specific use cases or industries, providing specialized AI functionalities and services. These startups often leverage the resources of established cloud providers to build and deploy their AI models, making it easier for them to enter the market and compete with larger players. Moreover, the continuous influx of fresh ideas and novel AI applications stimulates healthy competition and fosters innovation in the AIaaS market.

Artificial Intelligence-as-a-Service Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence-as-a-service market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on technology, organizations size and vertical.

Breakup by Technology:

Machine Learning (ML) and Deep Learning

Natural Language Processing (NLP)

Machine learning (ML) and deep learning dominate the market

The report has provided a detailed breakup and analysis of the market based on the technology. This includes machine learning (ML) and deep learning and natural language processing (NLP). According to the report, machine learning (ML) and deep learning products represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is witnessing substantial growth driven by the increasing demand for machine learning (ML) and deep learning, as well as natural language processing (NLP) capabilities. ML and deep learning technologies have become fundamental tools for organizations seeking data-driven insights, predictive analytics, and pattern recognition across various domains. NLP has revolutionized how machines interpret and generate human language, enabling advanced chatbots, sentiment analysis, and language translation services. As businesses recognize the potential of these AI technologies to transform their operations, AIaaS providers are offering scalable and accessible solutions that cater to the specific ML, deep learning, and NLP needs of diverse industries. This trend is fostering innovation, lowering barriers to entry, and empowering organizations to harness the power of AI in an efficient and cost-effective manner, propelling the AIaaS market to new heights.

Breakup by Organizations Size:

Large Enterprises

Small and Medium-sized Enterprises (SMEs)

Large enterprises dominate the market

A detailed breakup and analysis of the market based on the organization size has also been provided in the report. This includes large enterprises, and small and medium-sized enterprises (SMEs). According to the report, the large enterprises represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is experiencing significant growth, driven in part by the increasing adoption of AI technologies among Large Enterprises. Large organizations are recognizing the transformative potential of AI in improving operational efficiency, enhancing customer experiences, and gaining a competitive edge. However, implementing and maintaining AI infrastructure in-house can be resource-intensive and complex. AIaaS providers offer a compelling solution, allowing large enterprises to access cutting-edge AI capabilities without the need for substantial upfront investments in hardware, software, and specialized AI talent. The scalable and flexible nature of AIaaS platforms aligns well with the diverse and evolving needs of large enterprises, enabling them to experiment with various AI solutions and efficiently integrate AI into their existing workflows. As the demand for AI-driven insights and automation continues to grow, AIaaS platforms catering to large enterprises are poised to play a pivotal role in shaping the future of the AI industry.

Breakup by Vertical:

Banking, Financial, and Insurance (BFSI)

Healthcare and Life Sciences

Retail

Telecommunications

Government and Defense

Manufacturing

Energy

Others

Banking, financial, and insurance (BFSI) dominate the market

The report has provided a detailed breakup and analysis of the market based on the vertical. This includes banking, financial, and insurance (BFSI), healthcare and life sciences, retail, telecommunications, government and defense, manufacturing, energy, and others. According to the report, banking, financial, and insurance (BFSI) products represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is witnessing substantial growth, propelled by the robust demand from the banking, financial, and insurance (BFSI) vertical across the globe. Also, in this highly data-intensive industry, artificial intelligence technologies offer immense potential for driving operational efficiencies, enhancing risk management, and improving customer experiences. Moreover, AI-powered solutions, such as predictive analytics, fraud detection, and personalized financial recommendations enable BFSI companies to make data-driven decisions in order to stay ahead in a fiercely competitive landscape. Additionally, AIaaS platforms provide scalable and cost-effective access to sophisticated AI capabilities, reducing the need for large upfront investments in AI infrastructure. As regulatory compliance and data security are paramount in the BFSI sector, reputable AIaaS providers offer robust security measures and ensure compliance with industry regulations.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest artificial intelligence-as-a-service market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

The artificial intelligence-as-a-service (AIaaS) industry in North America is being driven by the region boasting a robust technology infrastructure, including advanced cloud computing capabilities, which provides a solid foundation for AIaaS platforms to deliver scalable and high-performance AI solutions. Along with this, North American businesses, across diverse industries, are increasingly recognizing the potential of AI to transform their operations, optimize processes, and gain a competitive edge. As a result, there is a growing demand for accessibility and cost-effectiveness. In addition, the presence of numerous AI startups and tech giants in the region fosters innovation, pushing the boundaries of AI capabilities and driving the development of cutting-edge AIaaS offerings. Additionally, North America has been a hub for AI research and development, attracting significant investments in AI projects, which, in turn, fuel the growth of AIaaS.

Competitive Landscape:

The global artificial intelligence-as-a-service market is experiencing significant growth due to rising investments in research and development to create advanced AI algorithms and models. These models are designed to perform tasks such as natural language processing, image recognition, sentiment analysis, predictive analytics, and more. Along with this, AIaaS providers are building pre-trained AI models that can be readily deployed and utilized by customers without the need for extensive AI expertise. These pre-built models cover a wide range of use cases, enabling businesses to integrate AI functionalities into their applications and processes quickly. In addition, AIaaS companies are providing Application Programming Interfaces (APIs) and Software Development Kits (SDKs) that allow developers to easily integrate AI functionalities into their applications, websites, and products, further impacting the market. Moreover, the introduction of customization options, allowing businesses to tailor AI models according to their specific needs is creating a positive market outlook.

The report has provided a comprehensive analysis of the competitive landscape in the global artificial intelligence-as-a-service market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc. (Amazon.com Inc.)

Arm Limited (SoftBank Group Corp.)

DataRobot Inc.

FICO

Intel Corporation

International Business Machines Corporation

Microsoft Corporation

Nividia Corporation

Oracle Corporation

Salesforce Inc.

SAP SE

SAS Institute Inc.

Recent Developments:

In June 2023, Salesforce Inc. announced Einstein AI-Based data cloud, an all-encompassing subscription service that can be used by line-of-business personnel, data scientists, and corporate IT employees.

In Jan 2023, Microsoft Corporation released a statement saying that it is expanding its long-standing collaboration with OpenAI through a new "multiyear, multibillion-dollar investment.

In July 2022, International Business Machines Corporation declared that it has purchased Databand, a start-up building an observability platform for data and machine learning pipelines.

Key Questions Answered in This Report

  • 1. What was the size of the global artificial intelligence-as-a-service market in 2023?
  • 2. What is the expected growth rate of the global artificial intelligence-as-a-service market during 2024-2032?
  • 3. What are the key factors driving the global artificial intelligence-as-a-service market?
  • 4. What has been the impact of COVID-19 on the global artificial intelligence-as-a-service market?
  • 5. What is the breakup of the global artificial intelligence-as-a-service market based on the technology?
  • 6. What is the breakup of the global artificial intelligence-as-a-service market based on the organizations size?
  • 7. What is the breakup of the global artificial intelligence-as-a-service market based on the vertical?
  • 8. What are the key regions in the global artificial intelligence-as-a-service market?
  • 9. Who are the key players/companies in the global artificial intelligence-as-a-service market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence-as-a-Service Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Technology

  • 6.1 Machine Learning (ML) and Deep Learning
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Natural Language Processing (NLP)
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Organizations Size

  • 7.1 Large Enterprises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Small and Medium-sized Enterprises (SMEs)
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Vertical

  • 8.1 Banking, Financial, and Insurance (BFSI)
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Healthcare and Life Sciences
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Retail
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Telecommunications
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Government and Defense
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Manufacturing
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Energy
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Others
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Amazon Web Services Inc. (Amazon.com Inc.)
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 Arm Limited (SoftBank Group Corp.)
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 DataRobot Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 FICO
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Intel Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
    • 14.3.6 International Business Machines Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Microsoft Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
    • 14.3.8 Nividia Corporation
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
    • 14.3.9 Oracle Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
    • 14.3.10 Salesforce Inc.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
    • 14.3.11 SAP SE
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
    • 14.3.12 SAS Institute Inc.
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Artificial Intelligence-as-a-Service Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence-as-a-Service Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Artificial Intelligence-as-a-Service Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Artificial Intelligence-as-a-Service Market: Breakup by Organizations Size (in %), 2023
  • Figure 6: Global: Artificial Intelligence-as-a-Service Market: Breakup by Vertical (in %), 2023
  • Figure 7: Global: Artificial Intelligence-as-a-Service Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Artificial Intelligence-as-a-Service (Machine Learning (ML) and Deep Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Artificial Intelligence-as-a-Service (Machine Learning (ML) and Deep Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Artificial Intelligence-as-a-Service (Natural Language Processing (NLP)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Artificial Intelligence-as-a-Service (Natural Language Processing (NLP)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Artificial Intelligence-as-a-Service (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Artificial Intelligence-as-a-Service (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Artificial Intelligence-as-a-Service (Small and Medium-sized Enterprises (SMEs)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Artificial Intelligence-as-a-Service (Small and Medium-sized Enterprises (SMEs)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Artificial Intelligence-as-a-Service (Banking, Financial, and Insurance (BFSI)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Artificial Intelligence-as-a-Service (Banking, Financial, and Insurance (BFSI)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Artificial Intelligence-as-a-Service (Healthcare and Life Sciences) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Artificial Intelligence-as-a-Service (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Artificial Intelligence-as-a-Service (Retail) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Artificial Intelligence-as-a-Service (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Artificial Intelligence-as-a-Service (Telecommunications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Artificial Intelligence-as-a-Service (Telecommunications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Artificial Intelligence-as-a-Service (Government and Defense) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Artificial Intelligence-as-a-Service (Government and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Artificial Intelligence-as-a-Service (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Artificial Intelligence-as-a-Service (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Artificial Intelligence-as-a-Service (Energy) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Artificial Intelligence-as-a-Service (Energy) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Artificial Intelligence-as-a-Service (Other Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Artificial Intelligence-as-a-Service (Other Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: North America: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: North America: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: United States: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: United States: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Canada: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Canada: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Asia-Pacific: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Asia-Pacific: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: China: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 22018 & 2023
  • Figure 41: China: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Japan: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Japan: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: India: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: India: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: South Korea: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: South Korea: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Australia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Australia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Indonesia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Indonesia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Europe: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Europe: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Germany: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Germany: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: France: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: France: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: United Kingdom: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: United Kingdom: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Italy: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Italy: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Spain: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Spain: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Russia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Russia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Latin America: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Latin America: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Brazil: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Brazil: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Mexico: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Mexico: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Middle East and Africa: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Middle East and Africa: Artificial Intelligence-as-a-Service Market: Breakup by Country (in %), 2023
  • Figure 80: Middle East and Africa: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Global: Artificial Intelligence-as-a-Service Industry: SWOT Analysis
  • Figure 82: Global: Artificial Intelligence-as-a-Service Industry: Value Chain Analysis
  • Figure 83: Global: Artificial Intelligence-as-a-Service Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence-as-a-Service Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 3: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Organizations Size (in Million US$), 2024-2032Table 4: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Vertical (in Million US$), 2024-2032
  • Table 5: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Artificial Intelligence-as-a-Service Market: Competitive Structure
  • Table 7: Global: Artificial Intelligence-as-a-Service Market: Key Players