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1658034

サービスとしての人工知能市場規模、シェア、成長分析:技術別、サービスタイプ別、組織規模別、展開別、業種別、地域別 - 産業予測 2025~2032年

Artificial Intelligence As A Service Market Size, Share, and Growth Analysis, By Technology, By Service Type, By Organization Size, By Deployment, By Vertical, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 197 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
サービスとしての人工知能市場規模、シェア、成長分析:技術別、サービスタイプ別、組織規模別、展開別、業種別、地域別 - 産業予測 2025~2032年
出版日: 2025年02月15日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

サービスとしての人工知能市場規模は2023年に126億7,000万米ドルとなり、2024年の173億6,000万米ドルから2032年には2,154億1,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは37.0%で成長する見通しです。

世界の組織は、自動化、ユーザビリティ、可用性を高めるために人工知能(AI)の可能性を最大限に活用しています。AIの将来は、モノのインターネット(IoT)や5Gネットワークなどの新技術と統合しながら、データプライバシーを優先するカスタマイズ可能なソリューションに期待が寄せられています。開発途上国を中心に、各国政府はAIの能力を認め、AIのインフラ整備に積極的に投資しています。例えば、インドのNiti Aayogは国家的なAIイニシアチブを立ち上げ、機械学習や3Dプリンティングのような技術を発展させるため、研究開発やDigital Indiaへの予算を増強しています。AI as a Service(AIaaS)の台頭により、企業はクラウドプラットフォームを通じてAIツールを利用できるようになり、事前の専門知識を必要とせずに自動化された音声、視覚、言語サービスを提供することで、包括的なデータの最適化と革新的な洞察への扉を開くことができます。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • ケーススタディ
  • 技術の進歩
  • 規制情勢
  • 特許分析

サービスとしての人工知能市場規模:技術別& CAGR(2025-2032)

  • 市場概要
  • 機械学習
  • 自然言語処理
  • コンピュータビジョン
  • その他

サービスとしての人工知能市場規模:サービスタイプ別& CAGR(2025-2032)

  • 市場概要
  • ソフトウェア
  • サービス

サービスとしての人工知能市場規模:組織規模別& CAGR(2025-2032)

  • 市場概要
  • 中小企業
  • 大企業

サービスとしての人工知能市場規模:展開別& CAGR(2025-2032)

  • 市場概要
  • パブリッククラウド
  • プライベートクラウド
  • ハイブリッドクラウド

サービスとしての人工知能市場規模:業種別& CAGR(2025-2032)

  • 市場概要
  • BFSI
  • ヘルスケア
  • 小売り
  • ITおよび通信
  • 製造業
  • 政府
  • エネルギーと公共事業
  • その他

サービスとしての人工知能市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • Amazon Web Services(USA)
  • IBM Corporation(USA)
  • Microsoft Corporation(USA)
  • Google LLC(USA)
  • Salesforce(USA)
  • Baidu, Inc.(China)
  • Intel Corporation(USA)
  • SAP SE(Germany)
  • SAS Institute(USA)
  • BigML(USA)
  • Automation Anywhere, Inc.(USA)
  • H2O.ai(USA)
  • DataRobot(USA)
  • Oracle Corporation(USA)
  • Alibaba Cloud(China)
  • Tencent Cloud(China)
  • Infosys Limited(India)
  • Wipro Limited(India)
  • Tata Consultancy Services(TCS)(India)

結論と提言

目次
Product Code: SQMIG45I2071

Artificial Intelligence As A Service Market size was valued at USD 12.67 billion in 2023 and is poised to grow from USD 17.36 billion in 2024 to USD 215.41 billion by 2032, growing at a CAGR of 37.0% during the forecast period (2025-2032).

Organizations globally are harnessing the full potential of artificial intelligence (AI) to enhance automation, usability, and availability. The future of AI holds promise in customizable solutions that prioritize data privacy while integrating with emerging technologies such as the Internet of Things (IoT) and 5G networks. Governments, particularly in developing nations, acknowledge AI's capabilities and are actively investing in AI infrastructure. For example, India's Niti Aayog has launched a national AI initiative, boosting budgets for R&D and Digital India to advance technologies like machine learning and 3D printing. The rise of AI as a Service (AIaaS) allows businesses to utilize AI tools through cloud platforms, offering automated voice, vision, and language services without requiring prior expertise, thus opening doors for comprehensive data optimization and innovative insights.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence As A Service market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence As A Service Market Segments Analysis

Global Artificial Intelligence As A Service Market is segmented by Technology, Service Type, Organization Size, Deployment, Vertical and region. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision and Others. Based on Service Type, the market is segmented into Software and Services. Based on Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Deployment, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. Based on Vertical, the market is segmented into BFSI, Healthcare, Retail, IT and Telecom, Manufacturing, Government, Energy and Utilities and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence As A Service Market

The growth of the Artificial Intelligence as a Service (AIaaS) market is driven by several factors. Firstly, AI organizes vast amounts of data, facilitating better record maintenance and retrieval when needed. Additionally, the integration of cloud computing solutions offers benefits like reduced costs and enhanced reliability, alleviating the need for dedicated IT maintenance teams within organizations. Furthermore, the increasing demand for flexible payment options from various service providers caters to businesses by aligning costs with actual usage, promoting cost-effectiveness. Collectively, these elements are expected to significantly boost the market value of AIaaS in the coming years.

Restraints in the Artificial Intelligence As A Service Market

One significant restraint facing the Artificial Intelligence As A Service (AIaaS) market is the shortage of skilled and experienced professionals, which is likely to hinder growth during the foreseeable future. As AI is a relatively nascent field within the business sector, companies are struggling to find experts who possess the appropriate skills. Although the rise of digitalization has significantly contributed to the expansion of AIaaS, developing the necessary expertise to maximize its potential is a time-consuming endeavor. However, practical training, learning initiatives, and certification programs provided by AIaaS platforms are expected to cultivate a skilled workforce, mitigating the talent gap in the global market over the projected period.

Market Trends of the Artificial Intelligence As A Service Market

The Artificial Intelligence as a Service (AIaaS) market is increasingly shaped by the rise of AI microservices, as organizations seek tailored solutions to enhance operational efficiency. With industries across the board embracing advanced technologies like machine learning, computer vision, and deep learning, the demand for customizable AI microservices has surged. These modular components allow businesses to adopt AI capabilities that align perfectly with their unique requirements, facilitating rapid deployment and scalability. Consequently, this trend not only streamlines the integration process but also drives innovation, positioning AIaaS as an essential component of the modern digital transformation strategy across various sectors.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Case Studies
  • Technology Advancement
  • Regulatory Landscape
  • Patent Analysis

Global Artificial Intelligence As A Service Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others

Global Artificial Intelligence As A Service Market Size by Service Type & CAGR (2025-2032)

  • Market Overview
  • Software
  • Services

Global Artificial Intelligence As A Service Market Size by Organization Size & CAGR (2025-2032)

  • Market Overview
  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Global Artificial Intelligence As A Service Market Size by Deployment & CAGR (2025-2032)

  • Market Overview
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Global Artificial Intelligence As A Service Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Healthcare
  • Retail
  • IT and Telecom
  • Manufacturing
  • Government
  • Energy and Utilities
  • Others

Global Artificial Intelligence As A Service Market Size & CAGR (2025-2032)

  • North America (Technology, Service Type, Organization Size, Deployment, Vertical)
    • US
    • Canada
  • Europe (Technology, Service Type, Organization Size, Deployment, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Technology, Service Type, Organization Size, Deployment, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Technology, Service Type, Organization Size, Deployment, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Technology, Service Type, Organization Size, Deployment, Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Amazon Web Services (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu, Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigML (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Automation Anywhere, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alibaba Cloud (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tencent Cloud (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Infosys Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wipro Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tata Consultancy Services (TCS) (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations