DRI(株式会社データリソース)
＞ その他 市場調査レポート一覧
＞ 消費財
＞ AI as a Service (AIaaS) market Outlook 2026-2034: Market Share, and Growth Analysis By Product (Digital Assistants & Bots, Machine Learning Frameworks, Application Programming Interface (API), No-Code or Low-Code Ml Tools, Data Pre-Processing Tools), By Service (Generative AI as A Service, Others), By Business Function, By Organization Size, By End-User
AI as a Service (AIaaS) market Outlook 2026-2034: Market Share, and Growth Analysis By Product (Digital Assistants & Bots, Machine Learning Frameworks, Application Programming Interface (API), No-Code or Low-Code Ml Tools, Data Pre-Processing Tools), By Service (Generative AI as A Service, Others), By Business Function, By Organization Size, By End-User
The AI as a Service (AIaaS) market is valued at USD 21.6 billion in 2025 and is projected to grow at a CAGR of 40% to reach USD 446.3 billion by 2034. AI as a Service (AIaaS) market The AI as a S... もっと見る
※当ページの内容はウェブ更新時の情報です。
最新版の価格やページ数などの情報についてはお問合せください。
日本語のページは自動翻訳を利用し作成しています。
実際のレポートは英文のみでご納品いたします。
|
Summary The AI as a Service (AIaaS) market is valued at USD 21.6 billion in 2025 and is projected to grow at a CAGR of 40% to reach USD 446.3 billion by 2034. AI as a Service (AIaaS) marketThe AI as a Service (AIaaS) market delivers machine learning and generative AI capabilities via cloud-delivered platforms, APIs, and managed services that abstract infrastructure and accelerate time-to-value. Offerings span foundation model access (text, vision, speech), classic ML (forecasting, classification), vector search and retrieval-augmented generation, MLOps pipelines, data labeling, model monitoring, and low-code tools for rapid application assembly. Top end-uses include customer experience (virtual agents, personalization), risk and fraud analytics in BFSI, preventive maintenance and quality in manufacturing, demand forecasting and merchandising in retail/CPG, clinical and operational automation in healthcare, marketing creative and content ops in media, and software engineering co-pilots across sectors. Current trends emphasize agentic workflows, domain-tuned small/large models, secure RAG over enterprise data, privacy-preserving architectures (VPC-hosted endpoints, on-prem managed), and cost-aware scaling using optimized inference stacks and accelerators. Growth drivers include intense productivity mandates, developer scarcity, rapid model innovation, and the shift from pilots to production with measurable ROI. The competitive landscape blends hyperscalers, independent model providers, open-source platforms, vertical specialists, and global systems integrators. Differentiation rests on enterprise-grade security and governance, data-sovereignty options, price/performance at scale, ecosystem breadth (connectors, vector DBs), and professional services for adoption. Challenges persist around model risk and compliance, prompt/data leakage, GPU capacity and cost, integration with legacy systems, and avoiding vendor lock-in. Providers that combine strong guardrails, flexible deployment (public cloud, private cloud, on-prem), and outcome-based services - while enabling customers to own their data and orchestrate multiple models - are best positioned as AIaaS becomes a standard layer in digital platforms. AI as a Service (AIaaS) market Key Insights• From pilots to platform strategy
Enterprises are consolidating scattered proofs-of-concept into unified AI platforms with shared data connectors, model catalogs, and governance. Standardizing on a platform reduces duplicated spend and accelerates safe reuse of components.
• RAG becomes the default enterprise pattern
Retrieval-augmented generation over proprietary content balances accuracy with privacy. Success depends on high-quality chunking, metadata, and vector store hygiene - plus evaluation harnesses to curb drift and hallucinations.
• Right-sizing models beats “largest at all costs”
Domain-tuned small and medium models, distilled variants, and tool-use agents often meet accuracy targets with far lower latency and cost. Portfolio thinking - routing requests by complexity - improves economics.
• Data governance and security are decisive
Customers require private networking, customer-managed keys, PHI/PII handling, and audit trails. Policy enforcement (prompt/response filtering, DLP, red teaming) and model cards are now procurement-level requirements.
• Multi-cloud and sovereignty options
Regulated buyers favor deployment choice: public cloud, VPC-isolated endpoints, sovereign regions, or on-prem managed stacks. Interoperability and portable artifacts reduce lock-in risk and ease exit strategies.
• FinOps for AI: cost visibility to the edge
Token/latency dashboards, autoscaling, and mixed hardware pools (GPUs, accelerators, CPUs) drive cost-per-task down. Commit-based pricing, reserved capacity, and caching/token reuse help stabilize budgets at scale.
• MLOps meets LLMOps
Model registry, lineage, CI/CD for prompts and pipelines, offline/online evaluation, and guardrail testing migrate from classic ML to gen-AI. Continuous feedback loops from human-in-the-loop review improve safety and accuracy.
• Verticalization wins adoption
Packaged copilots for claims, underwriting, KYC, merchandising, clinical documentation, or field service reduce integration burden. Embedded compliance content and domain ontologies shorten time to measurable outcomes.
• Trust, risk, and compliance (TRiC) as a product
Bias testing, copyright safety, safety policies, and incident response are bundled into the platform. Clear indemnities and IP controls matter for creative and code-assist use cases.
• Developer experience and ecosystem breadth
SDKs, templates, connectors (CRM/ERP/EDW), and first-party vector/feature stores determine build speed. Partner marketplaces (ISVs/SIs) extend reach and provide last-mile delivery. AI as a Service (AIaaS) market Reginal AnalysisNorth America Adoption is led by Fortune-scale enterprises and digital natives prioritizing productivity copilots, contact-center automation, and software engineering tools. Buyers emphasize robust governance, private networking, and cost controls. Systems integrators and hyperscalers co-deliver large transformations; multi-cloud strategies protect against concentration and lock-in. Europe Regulatory rigor and data-sovereignty needs drive demand for EU-resident processing, model transparency, and strong auditability. Financial services, manufacturing, and public sector favor privacy-preserving deployments and on-prem/VPC options. Open-source and standards-based stacks gain traction where portability is a priority. Asia-Pacific Scale manufacturing, telecom, and super-app ecosystems accelerate AIaaS use in customer experience, supply chain, and network ops. Price-performance and rapid localization are key; regional cloud providers compete with global platforms. Governments promote local AI capacity and data residency, shaping vendor selection. Middle East & Africa National digital programs and new financial hubs catalyze AIaaS in government services, banking, and smart-city operations. Buyers prioritize sovereign cloud, Arabic/African language support, and turnkey solutions delivered with global SIs. Greenfield data center investments enable rapid enterprise onboarding. South & Central America Cost-efficient AIaaS targets retail, fintech, and customer support. Cloud credits and partner-led implementations help mid-market adoption amid budget constraints. Spanish/Portuguese localization, data-residency options, and managed services from regional SIs are competitive differentiators. AI as a Service (AIaaS) market SegmentationBy Product Digital Assistants & Bots Machine Learning Frameworks Application Programming Interface (API) No-Code or Low-Code Ml Tools Data Pre-Processing Tools
By Service Generative AI as A Service Others
By Business Function Finance Marketing Sales Operations & Supply Chain Human Resources
By Organization Size Small & Medium-Sized Enterprises Large Enterprises
By End-User BFSI Retail & E-Commerce Technology & Software Media & Entertainment Manufacturing Healthcare & Life Sciences Energy & Utilities Government & Defense Telecommunications Transportation & Logistics Others
Key Market playersAmazon Web Services (AWS), Microsoft Azure, Google Cloud, IBM, Oracle, Salesforce, OpenAI, Anthropic, Cohere, Databricks, Snowflake, NVIDIA, Alibaba Cloud, Tencent Cloud, Baidu AI Cloud, Huawei Cloud, SAP, ServiceNow, H2O.ai, DataRobot, Hugging FaceAI as a Service (AIaaS) Market Analytics
The report employs rigorous tools, including Porter’s Five Forces, value chain mapping, and scenario-based modelling, to assess supply–demand dynamics. Cross-sector influences from parent, derived, and substitute markets are evaluated to identify risks and opportunities. Trade and pricing analytics provide an up-to-date view of international flows, including leading exporters, importers, and regional price trends.
Macroeconomic indicators, policy frameworks such as carbon pricing and energy security strategies, and evolving consumer behaviour are considered in forecasting scenarios. Recent deal flows, partnerships, and technology innovations are incorporated to assess their impact on future market performance.
AI as a Service (AIaaS) Market Competitive Intelligence
The competitive landscape is mapped through OG Analysis’ proprietary frameworks, profiling leading companies with details on business models, product portfolios, financial performance, and strategic initiatives. Key developments such as mergers & acquisitions, technology collaborations, investment inflows, and regional expansions are analyzed for their competitive impact. The report also identifies emerging players and innovative startups contributing to market disruption.
Regional insights highlight the most promising investment destinations, regulatory landscapes, and evolving partnerships across energy and industrial corridors.
Countries Covered
- North America — AI as a Service (AIaaS) market data and outlook to 2034
- United States
- Canada
- Mexico
- Europe — AI as a Service (AIaaS) market data and outlook to 2034
- Germany
- United Kingdom
- France
- Italy
- Spain
- BeNeLux
- Russia
- Sweden
- Asia-Pacific — AI as a Service (AIaaS) market data and outlook to 2034
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Malaysia
- Vietnam
- Middle East and Africa — AI as a Service (AIaaS) market data and outlook to 2034
- Saudi Arabia
- South Africa
- Iran
- UAE
- Egypt
- South and Central America — AI as a Service (AIaaS) market data and outlook to 2034
- Brazil
- Argentina
- Chile
- Peru
* We can include data and analysis of additional countries on demand.
Research Methodology
This study combines primary inputs from industry experts across the AI as a Service (AIaaS) value chain with secondary data from associations, government publications, trade databases, and company disclosures. Proprietary modeling techniques, including data triangulation, statistical correlation, and scenario planning, are applied to deliver reliable market sizing and forecasting.
Key Questions Addressed
What is the current and forecast market size of the AI as a Service (AIaaS) industry at global, regional, and country levels?
Which types, applications, and technologies present the highest growth potential?
How are supply chains adapting to geopolitical and economic shocks?
What role do policy frameworks, trade flows, and sustainability targets play in shaping demand?
Who are the leading players, and how are their strategies evolving in the face of global uncertainty?
Which regional “hotspots” and customer segments will outpace the market, and what go-to-market and partnership models best support entry and expansion?
Where are the most investable opportunities—across technology roadmaps, sustainability-linked innovation, and M&A—and what is the best segment to invest over the next 3–5 years?
Your Key Takeaways from the AI as a Service (AIaaS) Market Report
- Global AI as a Service (AIaaS) market size and growth projections (CAGR), 2024-2034
- Impact of Russia-Ukraine, Israel-Palestine, and Hamas conflicts on AI as a Service (AIaaS) trade, costs, and supply chains
- AI as a Service (AIaaS) market size, share, and outlook across 5 regions and 27 countries, 2023-2034
- AI as a Service (AIaaS) market size, CAGR, and market share of key products, applications, and end-user verticals, 2023-2034
- Short- and long-term AI as a Service (AIaaS) market trends, drivers, restraints, and opportunities
- Porter’s Five Forces analysis, technological developments, and AI as a Service (AIaaS) supply chain analysis
- AI as a Service (AIaaS) trade analysis, AI as a Service (AIaaS) market price analysis, and AI as a Service (AIaaS) supply/demand dynamics
- Profiles of 5 leading companies—overview, key strategies, financials, and products
- Latest AI as a Service (AIaaS) market news and developments
Additional Support
With the purchase of this report, you will receive
- An updated PDF report and an MS Excel data workbook containing all market tables and figures for easy analysis.
- 7-day post-sale analyst support for clarifications and in-scope supplementary data, ensuring the deliverable aligns precisely with your requirements.
- Complimentary report update to incorporate the latest available data and the impact of recent market developments.
* The updated report will be delivered within 3 working days"
ページTOPに戻る
Table of Contents 1. Table of Contents
1.1 List of Tables
1.2 List of Figures
2. Global AI as a Service (AIaaS) Market Summary, 2025
2.1 AI as a Service (AIaaS) Industry Overview
2.1.1 Global AI as a Service (AIaaS) Market Revenues (In US$ billion)
2.2 AI as a Service (AIaaS) Market Scope
2.3 Research Methodology
3. AI as a Service (AIaaS) Market Insights, 2024-2034
3.1 AI as a Service (AIaaS) Market Drivers
3.2 AI as a Service (AIaaS) Market Restraints
3.3 AI as a Service (AIaaS) Market Opportunities
3.4 AI as a Service (AIaaS) Market Challenges
3.5 Tariff Impact on Global AI as a Service (AIaaS) Supply Chain Patterns
4. AI as a Service (AIaaS) Market Analytics
4.1 AI as a Service (AIaaS) Market Size and Share, Key Products, 2025 Vs 2034
4.2 AI as a Service (AIaaS) Market Size and Share, Dominant Applications, 2025 Vs 2034
4.3 AI as a Service (AIaaS) Market Size and Share, Leading End Uses, 2025 Vs 2034
4.4 AI as a Service (AIaaS) Market Size and Share, High Growth Countries, 2025 Vs 2034
4.5 Five Forces Analysis for Global AI as a Service (AIaaS) Market
4.5.1 AI as a Service (AIaaS) Industry Attractiveness Index, 2025
4.5.2 AI as a Service (AIaaS) Supplier Intelligence
4.5.3 AI as a Service (AIaaS) Buyer Intelligence
4.5.4 AI as a Service (AIaaS) Competition Intelligence
4.5.5 AI as a Service (AIaaS) Product Alternatives and Substitutes Intelligence
4.5.6 AI as a Service (AIaaS) Market Entry Intelligence
5. Global AI as a Service (AIaaS) Market Statistics – Industry Revenue, Market Share, Growth Trends and Forecast by segments, to 2034
5.1 World AI as a Service (AIaaS) Market Size, Potential and Growth Outlook, 2024- 2034 ($ billion)
5.1 Global AI as a Service (AIaaS) Sales Outlook and CAGR Growth By Product, 2024- 2034 ($ billion)
5.2 Global AI as a Service (AIaaS) Sales Outlook and CAGR Growth By Service, 2024- 2034 ($ billion)
5.3 Global AI as a Service (AIaaS) Sales Outlook and CAGR Growth By Business Function, 2024- 2034 ($ billion)
5.4 Global AI as a Service (AIaaS) Sales Outlook and CAGR Growth By Organization Size, 2024- 2034 ($ billion)
5.5 Global AI as a Service (AIaaS) Sales Outlook and CAGR Growth By End-User, 2024- 2034 ($ billion)
5.6 Global AI as a Service (AIaaS) Market Sales Outlook and Growth by Region, 2024- 2034 ($ billion)
6. Asia Pacific AI as a Service (AIaaS) Industry Statistics – Market Size, Share, Competition and Outlook
6.1 Asia Pacific AI as a Service (AIaaS) Market Insights, 2025
6.2 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast By Product, 2024- 2034 (USD billion)
6.3 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast By Service, 2024- 2034 (USD billion)
6.4 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast By Business Function, 2024- 2034 (USD billion)
6.5 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast By Organization Size, 2024- 2034 (USD billion)
6.6 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast By End-User, 2024- 2034 (USD billion)
6.7 Asia Pacific AI as a Service (AIaaS) Market Revenue Forecast by Country, 2024- 2034 (USD billion)
6.7.1 China AI as a Service (AIaaS) Market Size, Opportunities, Growth 2024- 2034
6.7.2 India AI as a Service (AIaaS) Market Size, Opportunities, Growth 2024- 2034
6.7.3 Japan AI as a Service (AIaaS) Market Size, Opportunities, Growth 2024- 2034
6.7.4 Australia AI as a Service (AIaaS) Market Size, Opportunities, Growth 2024- 2034
7. Europe AI as a Service (AIaaS) Market Data, Penetration, and Business Prospects to 2034
7.1 Europe AI as a Service (AIaaS) Market Key Findings, 2025
7.2 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown By Product, 2024- 2034 (USD billion)
7.3 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown By Service, 2024- 2034 (USD billion)
7.4 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown By Business Function, 2024- 2034 (USD billion)
7.5 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown By Organization Size, 2024- 2034 (USD billion)
7.6 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown By End-User, 2024- 2034 (USD billion)
7.7 Europe AI as a Service (AIaaS) Market Size and Percentage Breakdown by Country, 2024- 2034 (USD billion)
7.7.1 Germany AI as a Service (AIaaS) Market Size, Trends, Growth Outlook to 2034
7.7.2 United Kingdom AI as a Service (AIaaS) Market Size, Trends, Growth Outlook to 2034
7.7.2 France AI as a Service (AIaaS) Market Size, Trends, Growth Outlook to 2034
7.7.2 Italy AI as a Service (AIaaS) Market Size, Trends, Growth Outlook to 2034
7.7.2 Spain AI as a Service (AIaaS) Market Size, Trends, Growth Outlook to 2034
8. North America AI as a Service (AIaaS) Market Size, Growth Trends, and Future Prospects to 2034
8.1 North America Snapshot, 2025
8.2 North America AI as a Service (AIaaS) Market Analysis and Outlook By Product, 2024- 2034 ($ billion)
8.3 North America AI as a Service (AIaaS) Market Analysis and Outlook By Service, 2024- 2034 ($ billion)
8.4 North America AI as a Service (AIaaS) Market Analysis and Outlook By Business Function, 2024- 2034 ($ billion)
8.5 North America AI as a Service (AIaaS) Market Analysis and Outlook By Organization Size, 2024- 2034 ($ billion)
8.6 North America AI as a Service (AIaaS) Market Analysis and Outlook By End-User, 2024- 2034 ($ billion)
8.7 North America AI as a Service (AIaaS) Market Analysis and Outlook by Country, 2024- 2034 ($ billion)
8.7.1 United States AI as a Service (AIaaS) Market Size, Share, Growth Trends and Forecast, 2024- 2034
8.7.1 Canada AI as a Service (AIaaS) Market Size, Share, Growth Trends and Forecast, 2024- 2034
8.7.1 Mexico AI as a Service (AIaaS) Market Size, Share, Growth Trends and Forecast, 2024- 2034
9. South and Central America AI as a Service (AIaaS) Market Drivers, Challenges, and Future Prospects
9.1 Latin America AI as a Service (AIaaS) Market Data, 2025
9.2 Latin America AI as a Service (AIaaS) Market Future By Product, 2024- 2034 ($ billion)
9.3 Latin America AI as a Service (AIaaS) Market Future By Service, 2024- 2034 ($ billion)
9.4 Latin America AI as a Service (AIaaS) Market Future By Business Function, 2024- 2034 ($ billion)
9.5 Latin America AI as a Service (AIaaS) Market Future By Organization Size, 2024- 2034 ($ billion)
9.6 Latin America AI as a Service (AIaaS) Market Future By End-User, 2024- 2034 ($ billion)
9.7 Latin America AI as a Service (AIaaS) Market Future by Country, 2024- 2034 ($ billion)
9.7.1 Brazil AI as a Service (AIaaS) Market Size, Share and Opportunities to 2034
9.7.2 Argentina AI as a Service (AIaaS) Market Size, Share and Opportunities to 2034
10. Middle East Africa AI as a Service (AIaaS) Market Outlook and Growth Prospects
10.1 Middle East Africa Overview, 2025
10.2 Middle East Africa AI as a Service (AIaaS) Market Statistics By Product, 2024- 2034 (USD billion)
10.3 Middle East Africa AI as a Service (AIaaS) Market Statistics By Service, 2024- 2034 (USD billion)
10.4 Middle East Africa AI as a Service (AIaaS) Market Statistics By Business Function, 2024- 2034 (USD billion)
10.5 Middle East Africa AI as a Service (AIaaS) Market Statistics By Organization Size, 2024- 2034 (USD billion)
10.6 Middle East Africa AI as a Service (AIaaS) Market Statistics By End-User, 2024- 2034 (USD billion)
10.7 Middle East Africa AI as a Service (AIaaS) Market Statistics by Country, 2024- 2034 (USD billion)
10.7.1 Middle East AI as a Service (AIaaS) Market Value, Trends, Growth Forecasts to 2034
10.7.2 Africa AI as a Service (AIaaS) Market Value, Trends, Growth Forecasts to 2034
11. AI as a Service (AIaaS) Market Structure and Competitive Landscape
11.1 Key Companies in AI as a Service (AIaaS) Industry
11.2 AI as a Service (AIaaS) Business Overview
11.3 AI as a Service (AIaaS) Product Portfolio Analysis
11.4 Financial Analysis
11.5 SWOT Analysis
12 Appendix
12.1 Global AI as a Service (AIaaS) Market Volume (Tons)
12.1 Global AI as a Service (AIaaS) Trade and Price Analysis
12.2 AI as a Service (AIaaS) Parent Market and Other Relevant Analysis
12.3 Publisher Expertise
12.2 AI as a Service (AIaaS) Industry Report Sources and Methodology
ページTOPに戻る
本レポートと同じKEY WORD（ai）の最新刊レポート
よくあるご質問
OG Analysis社はどのような調査会社ですか?
OG Analysisは、10年以上の専門知識を持ち、半導体、エネルギー、化学品、自動車、農業など多様な市場調査レポートを出版しています。また広範な市場を対象としたカスタム調査も行っています。 もっと見る
調査レポートの納品までの日数はどの程度ですか?
在庫のあるものは速納となりますが、平均的には 3-４日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。
注文の手続きはどのようになっていますか?
1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。
お支払方法の方法はどのようになっていますか?
納品と同時にデータリソース社よりお客様へ請求書（必要に応じて納品書も）を発送いたします。
お客様よりデータリソース社へ（通常は円払い）の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。
データリソース社はどのような会社ですか?
当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。
|
|
