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市場調查報告書
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1574174

人工智慧即服務 (AIaaS) 市場 – 2024 年至 2029 年預測

Artificial Intelligence as a Service (AIaaS) Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 118 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

人工智慧即服務（AIaaS）市場預計將從 2024 年的 249.47 億美元增至 2029 年的 1,684.49 億美元，預測期內複合年成長率為 46.52%。

人工智慧即服務 (AIaaS) 被用作一種低成本、雲端基礎的方法，它使用人工智慧 (AI) 演算法並採用人工神經系統，無需基礎設施或大量的Start-Ups操作。 AIaaS 擁有許多公司使用的各種組件，例如雲端基礎的傳輸、計量收費以及基礎設施公司不受限制的多功能性，使他們能夠專注於自己的核心競爭力。

AIaaS 管理包括機器學習階段、自然語言處理管理、電腦視覺服務、AI 聊天機器人和虛擬同事。這些使機器能夠理解和產生人類方言、破解視覺資料並為客戶提供幫助。人工智慧領域的不斷進步正在擴大其在企業和更大範圍內的受歡迎程度，各大公司都將其風險擴展到研發領域。

此外，實施人工智慧的高昂初始成本阻礙了其在企業中的廣泛應用。然而，AIaaS 正在透過消除建構人工智慧基礎設施的需求來降低這些成本，預計將在預測期內推動市場成長。

人工智慧即服務 (AIaaS) 市場促進因素：

  • 雲端運算的日益普及預計將推動全球對人工智慧即服務（AIaaS）解決方案的需求。

預計在預測期內推動人工智慧即服務市場成長的主要因素之一是大量組織遷移到雲端運算。雲端處理使企業無需建立人工智慧基礎設施即可利用人工智慧，從而節省金錢和時間。由於AI即服務是由第三方提供的，企業可以完全專注於其核心業務，這將導致對AIaaS的需求不斷增加並支持未來的市場成長。

例如，2022 年 6 月，e&Group Limited 旗下部門 e&Enterprise 與 DataRobot 合作，為尋求加速數位轉型的上市和私人公司公司推出了業界首個企業 AlaaS 解決方案。此解決方案提供了端到端雲端解決方案，讓您可以建置、訓練、部署和管理 AI 和 ML 解決方案，而成本只是內部執行的一小部分。此外，政府機構和私人公司可以大規模部署人工智慧修復，並以最少的人工智慧專業知識實現商業價值。同樣，越來越多的公司正在採用雲端運算來升級其業務，預計這將推動評估期間的市場成長。

人工智慧即服務 (AIaaS) 市場的地理前景：

  • 北美地區預計將佔據人工智慧即服務（AIaaS）市場的主要佔有率。

由於 Microsoft Corporation、Amazon Web Services、Google LLC 和 IBM Corporation 等市場領導的存在，北美地區預計將佔據重要的市場佔有率。此外，該地區擁有強大的行業參與者，從而促進了技術進步。因此，未來幾年，AIaaS 等技術在各行業的採用可能會增加。

此外，由於對雲端基礎方案的投資增加以及利用 AlaaS 進行多種應用的新興行業的興起，美國和加拿大等北美國家預計將在預測期內出現顯著成長。此外，該地區提供 AIaaS 解決方案的新興企業數量正在增加，預計這將在預測期內推動市場成長。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
  • 競爭格局：
  • 市場促進因素與未來趨勢：
  • 可行的建議：
  • 迎合廣泛的受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業來說有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司概況（尤其是關鍵市場開拓）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第 5 章 人工智慧即服務 (AIaaS) 市場：按類型

  • 介紹
  • Bots
  • APIs
  • 機器學習
  • 其他

第6章 人工智慧即服務 (AIaaS) 市場：依公司規模

  • 介紹
  • 小的
  • 中等的
  • 大的

第 7 章：人工智慧即服務 (AIaaS) 市場：按最終用途產業

  • 介紹
  • BFSI
  • 零售
  • 資訊科技和通訊
  • 衛生保健
  • 製造業
  • 政府
  • 能源
  • 其他

第 8 章 人工智慧即服務 (AIaaS) 市場：按地區

  • 介紹
  • 北美洲
    • 按類型
    • 按公司規模
    • 按最終用途行業
    • 按國家/地區
  • 南美洲
    • 按類型
    • 按公司規模
    • 按最終用途行業
    • 按國家/地區
  • 歐洲
    • 按類型
    • 按公司規模
    • 按最終用途行業
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 按公司規模
    • 按最終用途行業
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 按公司規模
    • 按最終用途行業

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Amazon Web Services（AWS）
  • Microsoft Corporation
  • Google LLC
  • IBM Corporation
  • Oracle Corporation
  • BMC Software, Inc.
  • Salesforce.com, Inc.
  • BigML Inc
  • SAS Institute Inc
  • Fair Isaac Corporation
簡介目錄
Product Code: KSI061612188

The Artificial Intelligence as a Service (AIaaS) market is projected to witness a CAGR of 46.52% during the forecast period to reach a total market size of US$168.449 billion by 2029, up from US$24.947 billion in 2024.

Artificial Intelligence as a Service (AIaaS) is being utilized as a low-cost, cloud-based way to empower businesses to use artificial intelligence (AI) algorithms and employ artificial neural systems without requiring infrastructure or tremendous startup ventures. AIaaS has different components that numerous businesses utilize, like cloud-based conveyance, pay-as-you-go pricing, and versatility with no limitations on infrastructure companies to focus on its core capacities.

AIaaS administrations include machine learning stages, natural language processing administrations, computer vision services, AI chatbots, and virtual colleagues. They permit machines to understand and produce human dialects, decipher visual data, and assist clients. Ceaseless progressions in the field of AI, on account of major players expanding ventures into R&D, have been expanding their popularity among endeavors over businesses.

Moreover, the high initial costs of implementing AI have hindered its adoption among businesses. However, AIaaS has reduced these costs by eliminating the need to build an AI infrastructure, which is expected to drive market growth in the forecasted period.

ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET DRIVERS:

  • Growing adoption of cloud computing is expected to increase the demand for Artificial Intelligence as a Service (AIaaS) solutions globally.

One of the major factors anticipated to drive the Artificial Intelligence as a Service market's growth during the forecast period is the shift of a large number of organizations to cloud computing. Cloud computing allows companies to use artificial intelligence without the need to set up an AI infrastructure, saving them cost and time. It allows the companies to focus completely on their core business, as AI as a service is provided by third parties, which is leading to rising demand for AIaaS and propelling its market growth in the coming years.

For instance, in June 2022, e& Enterprise, a division of e& Group Limited, collaborated with DataRobot to introduce an industry-first Enterprise AlaaS solution for public and private companies looking to accelerate their digital transformation. It provides an end-to-end cloud solution that allows building, training, deployment, and managing AI & ML solutions at a fraction of the cost of in-house. Further, allowing governments and private companies to deploy AI fixes at scale and realize business value with minimal upfront AI expertise. Similarly, there are more companies are adopting cloud computing to upgrade their businesses, which is anticipated to boost the market growth during the assessment period.

Artificial Intelligence as a Service (AIaaS) Market Geographical Outlook:

  • The North American region is expected to hold a substantial Artificial Intelligence as a Service (AIaaS) market share.

The North American region is anticipated to hold a significant market share owing to the presence of market leaders such as Microsoft Corporation, Amazon Web Services, Google LLC, and IBM Corporation, among others. Further, the region has a strong industry player presence, leading to increasing technological advancements. Hence, there will be a higher tendency to adopt technologies like AIaaS for diverse industries in the coming years.

In addition, North American countries like the United States and Canada are anticipated to witness substantial growth during the forecast period due to rising investments in cloud-based solutions and an emerging sector realizing the utilization of AlaaS for multiple applications. Furthermore, the rising number of start-ups in the region providing AIaaS solutions is anticipated to propel the market growth during the forecast period.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Artificial Intelligence as a Service (AIaaS) market is segmented and analyzed as below:

By Type

  • Bots
  • APIs
  • Machine Learning
  • Others

By Enterprise Size

  • Small
  • Medium
  • Large

By End-Use Industry

  • BFSI
  • Retail
  • IT and Telecom
  • Healthcare
  • Manufacturing
  • Government
  • Energy
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Bots
  • 5.3. APIs
  • 5.4. Machine Learning
  • 5.5. Others

6. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY ENTERPRISE SIZE

  • 6.1. Introduction
  • 6.2. Small
  • 6.3. Medium
  • 6.4. Large

7. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY END-USE INDUSTRY

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Retail
  • 7.4. IT and Telecom
  • 7.5. Healthcare
  • 7.6. Manufacturing
  • 7.7. Government
  • 7.8. Energy
  • 7.9. Others

8. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type
    • 8.2.2. By Enterprise Size
    • 8.2.3. By End-Use Industry
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type
    • 8.3.2. By Enterprise Size
    • 8.3.3. By End-Use Industry
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Type
    • 8.4.2. By Enterprise Size
    • 8.4.3. By End-Use Industry
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type
    • 8.5.2. By Enterprise Size
    • 8.5.3. By End-Use Industry
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type
    • 8.6.2. By Enterprise Size
    • 8.6.3. By End-Use Industry
      • 8.6.3.1. China
      • 8.6.3.2. India
      • 8.6.3.3. Japan
      • 8.6.3.4. South Korea
      • 8.6.3.5. Taiwan
      • 8.6.3.6. Thailand
      • 8.6.3.7. Indonesia
      • 8.6.3.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Amazon Web Services (AWS)
  • 10.2. Microsoft Corporation
  • 10.3. Google LLC
  • 10.4. IBM Corporation
  • 10.5. Oracle Corporation
  • 10.6. BMC Software, Inc.
  • 10.7. Salesforce.com, Inc.
  • 10.8. BigML Inc
  • 10.9. SAS Institute Inc
  • 10.10. Fair Isaac Corporation