AIaaS（Artificial Intelligence-as-a-Service）市場レポート：技術、組織規模、業界別、地域別、2024年～2032年

世界のAIaaS（Artificial Intelligence-as-a-Service）市場規模は2023年に113億米ドルに達しました。今後、IMARC Groupは、2024～2032年にかけて35%の成長率（CAGR）を示し、2032年までに1,796億米ドルに達すると予測しています。高度な技術的専門知識を必要とするAIモデルの開発と実装、強固なセキュリティ対策、データ暗号化、コンプライアンスフレームワークへの投資の急増、より高度なアルゴリズム、モデル、AIベースのソリューションの開発は、市場を推進する主要要因の一部です。

AIaaS（Artificial Intelligence-as-a-Service）は、クラウドベースのモデルであり、時間、専門知識、リソースへの多額の先行投資を必要とせずに、個人や組織にAI機能を記載しています。このサービスを利用することで、ユーザーはデータ分析、自然言語処理、機械学習、その他のインテリジェント機能のための洗練されたAIツールを、多くの場合シンプルなAPIやグラフィカル・ユーザー・インターフェースを通じて活用することができます。AIaaSのユーザーは、AIモデルをゼロから開発する代わりに、事前に訓練されたカスタマイズ可能なモデルを自社のアプリケーションやプロセスに統合することができます。これにより、企業は技術力に関係なく、AI技術を迅速かつ手頃な価格で導入することができます。さらに、AIaaSはビジネスのニーズに応じてAI機能の利用を増減できる柔軟性を提供し、AIを使った実験、イノベーションの推進、業務効率の改善、顧客への新たな価値の創造を行うためのコスト効率の高い方法を記載しています。

AIaaS（Artificial Intelligence-as-a-Service）市場の成長を促進する主要要因の1つは、その拡大性と柔軟性です。AIaaSプラットフォームは、企業のさまざまなニーズやワークロードに対応できるように設計されています。企業はAI要件を拡大または縮小する際、AIaaSプロバイダーが割り当てるリソースと計算能力を容易に調整できます。このスケーラビリティにより、企業はAI需要の拡大に合わせてハードウェアやインフラに追加投資する必要がなくなり、初期コストと運用の複雑さを軽減できます。これに伴い、データサイエンティストやAIエンジニアなど、高度な技術的専門知識を必要とするAIモデルの開発と実装が、市場を大きく支えています。このため、いくつかの組織、特にリソースの限られた中小企業（SME）にとって、AIの導入は困難で高価なものとなっています。さらに、顧客データの保護を保証し、業界規制を遵守するために、堅牢なセキュリティ対策、データ暗号化、コンプライアンスフレームワークへの投資が増加していることも、市場にプラスの影響を与えています。こうした投資の結果、AI研究は大きく前進し、より高度なアルゴリズム、モデル、AIベースのソリューションの開発につながった。AIaaSプロバイダーは、こうした最先端の進歩を活用して、最先端のAI機能を顧客に提供することができます。

人工知能-as-a-サービス市場の動向と促進要因：

クラウド・コンピューティング・インフラの進歩

クラウド・コンピューティング・インフラの急速な拡大は、AIaaS（Artificial Intelligence-as-a-Service）の主要な市場の促進要因となっています。Amazon Web Services（AWS）、Microsoft Azure、Google Cloudなどのクラウドプロバイダーは、AI用途のリソース集約的な性質に対応できる堅牢でスケーラブルなクラウドプラットフォームの開発に多額の投資を行ってきました。これらのクラウドサービスは、膨大な計算能力、柔軟なストレージ、高速ネットワーキングを提供し、企業がAIモデルを効率的かつコスト効率よく展開・実行することを可能にしています。クラウド上で強力なAI機能を利用できるため、ハードウェアやインフラへの多額の先行投資が不要となり、さまざまな業界やビジネスでAI導入の民主化が進みます。クラウドプロバイダーが継続的にサービスを強化し、AI関連サービスの可用性を向上させることで、好循環が生まれ、さらなる採用とイノベーションが促進されます。新興企業も企業も、AIaaSを活用して研究、製品開発、意思決定プロセスを加速し、業務全体の効率性と生産性を向上させることができるようになりました。

各業界で高まるAIソリューションの需要

さまざまな業界におけるAIソリューションへの需要の高まりも、AIaaSの重要な市場の促進要因のひとつです。これに伴い、企業はAI技術を活用して競争優位性を獲得し、顧客体験を向上させ、業務を最適化し、イノベーションを推進する方法を積極的に模索しています。AIaaSは、企業が社内でAIの専門知識を構築・維持することなく、アクセス可能でスケーラブル、かつコスト効率の高いAI機能を提供することで、実行可能なソリューションを記載しています。さらに、医療、金融、小売、製造、物流などの業界では、プロセスを合理化し、膨大なデータセットから洞察を引き出し、意思決定を改善するためにAIaaSを導入しています。例えば、医療ではAIを活用した予測分析が患者の転帰を特定し、治療計画を最適化するために利用されており、小売業ではAIを活用したレコメンデーションシステムがパーソナライズされたショッピング体験を向上させています。さらに、複雑な問題を解決し、ビッグデータから価値ある洞察を引き出すAIの可能性を企業が認識するにつれて、AIaaSソリューションの需要が高まっています。

AIスタートアップとイノベーションの急増

AIスタートアップやイノベーションの急増は、AIaaSの成長に大きく貢献しています。AIが変革的な技術となりつつある中、ニッチな業界の課題に取り組み、破壊的なソリューションを生み出す新興企業が出現しています。いくつかの新興企業は、特定のユースケースや業界に対応するAIaaSプラットフォームの提供に注力し、特化したAI機能やサービスを提供しています。こうした新興企業は多くの場合、既存のクラウド・プロバイダーのリソースを活用してAIモデルを構築・展開するため、市場への参入が容易となり、大手企業との競争に打ち勝つことができます。さらに、新鮮アイデアや斬新なAIアプリケーションの継続的な流入は、AIaaS市場における健全な競争を刺激し、イノベーションを促進します。

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査目的
• 利害関係者
• データソース
  • 一次情報
  • 二次情報
• 市場推定
  • ボトムアップアプローチ
  • トップダウンアプローチ
• 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

• 概要
• 主要産業動向

第5章 AIaaS（Artificial Intelligence-as-a-Service）の世界市場

• 市場概要
• 市場実績
• COVID-19の影響
• 市場予測

第6章 市場内訳：技術別

• 機械学習（ML）とディープラーニング
• 自然言語処理（NLP）

第7章 市場内訳：組織規模別

• 大企業
• 中小企業（SME）

第8章 市場内訳：業界別

• 銀行・金融・保険（BFSI）
• 医療ライフサイエンス
• 小売
• 通信
• 政府・防衛
• 製造業
• エネルギー
• その他

第9章 市場内訳：地域別

• 北米
  • 米国
  • カナダ
• アジア太平洋
  • 中国
  • 日本
  • インド
  • 韓国
  • オーストラリア
  • インドネシア
  • その他
• 欧州
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン
  • ロシア
  • その他
• ラテンアメリカ
  • ブラジル
  • メキシコ
  • その他
• 中東・アフリカ
  • 市場動向
  • 市場内訳：国別
  • 市場予測

第10章 SWOT分析

• 概要
• 強み
• 弱み
• 機会
• 脅威

第11章 バリューチェーン分析

第12章 ポーターのファイブフォース分析

• 概要
• 買い手の交渉力
• 供給企業の交渉力
• 競合の程度
• 新規参入業者の脅威
• 代替品の脅威

第13章 価格分析

第14章 競合情勢

• 市場構造
• 主要企業
• 主要企業のプロファイル
  • 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.

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

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