AI 툴킷 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2025-2030년)

According to Mordor Intelligence, the AI toolkit market size stands at USD 30.16 billion in 2025 and is projected to reach USD 158.73 billion by 2030, expanding at a 39.39% CAGR during 2025-2030.

This report is Segmented by Deployment Model (Cloud-Based, On-Premise, and Hybrid), Component (Software Libraries and Frameworks, Pre-Trained Models, Sdks and APIs, and End-To-End Platforms), End-User Industry (BFSI, Healthcare and Life Sciences, Retail and E-Commerce, Manufacturing, and More), Organization Size (Large Enterprises, and SMEs), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI Toolkit Market Trends and Insights

Rapid Enterprise Adoption of Generative-AI Workloads

Generative-AI has crossed the experimentation threshold; 78% of enterprises now deploy live systems and 87% budget for further roll-outs within two years. Manufacturers illustrate the pivot, with 93% initiating new AI projects in 2024 to pursue gains in throughput and quality rather than narrow cost cuts. Telcos anticipate USD 11 billion annual revenue from agentic AI that optimizes network topology and predictive maintenance by 2025. Early adopters report 20-30% productivity lifts inside twelve months, creating a flywheel as internal success stories spur fresh investment.

Hyperscaler Cloud AI Services Lowering Entry Barriers

Google Cloud's Hugging Face integration gives developers frictionless access to 350,000 models plus low-cost TPUs, stripping away historic budget and skills hurdles. Standardized multi-agent toolkits such as Azure AI Foundry Agent Service reduce orchestration complexity, while open protocols like Model Context Protocol streamline cross-vendor integrations. Competitive pressure is driving unprecedented cloud diversification; ChatGPT now runs on Google, Oracle, CoreWeave, and Microsoft Azure footprints across five countries, enhancing latency resilience and pricing leverage.

Shortage of Advanced AI Engineering Talent

Demand for multimodal model-ops, prompt-engineering, and ethical-AI specialists outstrips supply, with 60% of APAC firms planning to train local talent yet facing hiring gaps. Tech majors are reallocating headcount: Salesforce cut 1,000 roles while hiring AI-skilled sellers and freezing net new software-developer positions for 2025. SMEs struggle to match compensation, pushing them toward managed services and automated pipelines.

Other drivers and restraints analyzed in the detailed report include:

1. Open-Source Frameworks Accelerating Developer Ecosystems
2. Rise of Domain-Specific Foundation Models
3. GPU Supply-Chain Bottlenecks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Hybrid configurations are the fastest-rising approach, expanding at 40.31% CAGR as firms balance sovereignty with elastic compute. In 2024, cloud maintained 61.23% AI toolkit market share, but on-premises interest is resurging among US enterprises building internal GPU clusters to trim egress fees. Hybrid models allow sensitive datasets to stay on-site while burst workloads tap the cloud, improving compliance posture and disaster recovery.

Edge advances intensify the pivot. Forecasts place edge AI revenue at USD 49.6 billion by 2030, aligning with compact models able to run on existing hardware. SMEs value governance portals that rationalize multi-cloud estates, while large firms negotiate reserved-instance discounts that flatten long-term TCO. Overall, the AI toolkit market size tied to hybrid solutions is poised to triple by 2030, reshaping procurement priorities toward connectivity, observability, and model-lifecycle tooling.

Software libraries delivered 37.15% of the AI toolkit market size in 2024, but pre-trained models grow fastest at 41.62% CAGR as firms skip costly green-field training. Hugging Face's 350,000-strong repository, valued at USD 4.5 billion, anchors this shift by offering immediately deployable checkpoints. SDK uptake is buoyed by mobile demand; AI-ready apps could reach USD 777.4 billion revenue by 2032.

Competitive dynamics revolve around platform breadth and cost-per-token. Anthropic's Claude 3.5 Sonnet downloads leaped from 38,000 to 100,000 within three months, winning developer mindshare on speed and pricing. Consolidation continues-Snowflake paid USD 1 billion for Reka AI to fold multimodal assets into its data-cloud, echoing Databricks' USD 1.3 billion MosaicML purchase. As frameworks mature, the AI toolkit market benefits from reduced integration friction and faster proof-of-concept cycles.

Complete Report Scope:

• By Deployment Model
  • Cloud-based
  • On-premise
  • Hybrid
• By Component
  • Software Libraries and Frameworks
  • Pre-trained Models
  • SDKs and APIs
  • End-to-End Platforms
• By Organization Size
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)
• By End-User Industry
  • Banking, Financial Services and Insurance (BFSI)
  • Healthcare and Life Sciences
  • Retail and E-commerce
  • Manufacturing
  • IT and Telecom
  • Government and Defense
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Argentina
    • Chile
    • Colombia
    • Rest of South America
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Kenya
      • Rest of Africa

Geography Analysis

North America retained 32.43% AI toolkit market share in 2024 on the back of enterprise capex, the NIST AI Risk-Management Framework, and a dense startup ecosystem. Federal procurement aligns with commercial advances; the Pentagon's USD 800 million multi-vendor LLM contracts deepen demand for secure, agentic workflows.

Asia-Pacific is the fastest riser, posting a 43.08% CAGR through 2030 as China's USD 2.1 billion generative-AI outlay and Japan's JPY 10 trillion (USD 69.5 billion) semiconductor plan feed domestic capacity. Regional players emphasize localized language models; 60% of APAC firms intend to deploy home-grown LLMs by 2025 to reflect cultural nuance. Government blueprints such as Singapore's AI-Verify and India's Digital India accelerator supply regulatory clarity and cloud credits that nurture domestic ecosystems.

Europe advances under the EU AI Act, generating pull-through for governance modules and explainability dashboards that vendors bundle into compliance toolkits. South America and the Middle East & Africa remain nascent but strategically important: the UAE targets AI-enabled GDP uplift by 2031, while Saudi Arabia's Vision 2030 invests heavily in smart-city pilots. This multi-regional canvas ensures diversified revenue for the AI toolkit market and cushions suppliers against single-region slowdowns.

1. Google LLC
2. Microsoft Corporation
3. Meta Platforms Inc.
4. IBM Corporation
5. Amazon Web Services Inc.
6. NVIDIA Corporation
7. OpenAI LP
8. Hugging Face SA
9. Databricks Inc.
10. Snowflake Inc.
11. Anthropic PBC
12. Cohere Technologies Inc.
13. DataRobot Inc.
14. H2O.AI Inc.
15. Anaconda Inc.
16. RapidMiner Inc.
17. TDK Corporation
18. SAP SE
19. Oracle Corporation
20. Salesforce Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rapid enterprise adoption of generative-AI workloads
  • 4.2.2 Hyperscaler cloud AI services lowering entry barriers
  • 4.2.3 Open-source frameworks accelerating developer ecosystems
  • 4.2.4 Model-governance and explainability mandates (GxP/AI Act)
  • 4.2.5 Rise of domain-specific foundation models
  • 4.2.6 Subscription-based "toolkit-as-a-service" packaging
• 4.3 Market Restraints
  • 4.3.1 Shortage of advanced AI engineering talent
  • 4.3.2 Data-sovereignty and privacy regulations
  • 4.3.3 GPU supply-chain bottlenecks
  • 4.3.4 Fragmentation across competing AI compute stacks
• 4.4 Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

• 5.1 By Deployment Model
  • 5.1.1 Cloud-based
  • 5.1.2 On-premise
  • 5.1.3 Hybrid
• 5.2 By Component
  • 5.2.1 Software Libraries and Frameworks
  • 5.2.2 Pre-trained Models
  • 5.2.3 SDKs and APIs
  • 5.2.4 End-to-End Platforms
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium-sized Enterprises (SMEs)
• 5.4 By End-User Industry
  • 5.4.1 Banking, Financial Services and Insurance (BFSI)
  • 5.4.2 Healthcare and Life Sciences
  • 5.4.3 Retail and E-commerce
  • 5.4.4 Manufacturing
  • 5.4.5 IT and Telecom
  • 5.4.6 Government and Defense
  • 5.4.7 Other End-user Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Russia
    • 5.5.2.7 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 South Korea
    • 5.5.3.4 India
    • 5.5.3.5 Australia
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 South America
    • 5.5.4.1 Brazil
    • 5.5.4.2 Argentina
    • 5.5.4.3 Chile
    • 5.5.4.4 Colombia
    • 5.5.4.5 Rest of South America
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Kenya
      • 5.5.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global-level Overview, Market-level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Google LLC
  • 6.4.2 Microsoft Corporation
  • 6.4.3 Meta Platforms Inc.
  • 6.4.4 IBM Corporation
  • 6.4.5 Amazon Web Services Inc.
  • 6.4.6 NVIDIA Corporation
  • 6.4.7 OpenAI LP
  • 6.4.8 Hugging Face SA
  • 6.4.9 Databricks Inc.
  • 6.4.10 Snowflake Inc.
  • 6.4.11 Anthropic PBC
  • 6.4.12 Cohere Technologies Inc.
  • 6.4.13 DataRobot Inc.
  • 6.4.14 H2O.ai Inc.
  • 6.4.15 Anaconda Inc.
  • 6.4.16 RapidMiner Inc.
  • 6.4.17 TDK Corporation
  • 6.4.18 SAP SE
  • 6.4.19 Oracle Corporation
  • 6.4.20 Salesforce Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment