Austin, July 17, 2025 (GLOBE NEWSWIRE) -- The Artificial Intelligence Toolkit Market was valued at USD 22.2 billion in 2024 and is projected to reach USD 151.2 billion by 2032, expanding at a CAGR of 23.78% from 2024 to 2032.
The market is experiencing robust growth due to increasing adoption of AI across sectors like healthcare, finance, retail, and manufacturing. The surge in demand for automated workflows, data-driven insights, and intelligent decision-making is driving the need for comprehensive AI development tools. Additionally, advancements in machine learning algorithms, natural language processing, and cloud-based AI services are making toolkits more accessible and scalable. Growing investment in AI R&D and the proliferation of AI-integrated applications across enterprises further fuel the market expansion.
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The U.S. AI toolkit market was valued at approximately USD 6.7 billion in 2024 and is anticipated to surpass USD 44.2 billion by 2032, registering a CAGR of about 23.42%.
Rising demand for AI-driven solutions across industries, strong government support for AI innovation, growing enterprise digital transformation, and widespread cloud adoption are fueling the market. Additionally, increased investment in AI infrastructure and skilled workforce development is driving sustained growth.
Key Players:
- Google LLC – TensorFlow
- Microsoft Corporation – Azure Machine Learning
- IBM Corporation – IBM Watson Studio
- Amazon Web Services, Inc. (AWS) – Amazon SageMaker
- NVIDIA Corporation – NVIDIA AI Enterprise
- Meta Platforms, Inc. – PyTorch
- SAP SE – SAP AI Core
- Oracle Corporation – Oracle AI Services
- H2O.ai, Inc. – H2O Driverless AI
- DataRobot, Inc. – DataRobot AI Platform
- C3.ai, Inc. – C3 AI Suite
- Salesforce, Inc. – Einstein AI
- Anaconda, Inc. – Anaconda Distribution
- MathWorks, Inc. – MATLAB AI Toolbox
- RapidMiner, Inc. – RapidMiner Studio
Artificial Intelligence Toolkit Market Report Scope:
| Report Attributes | Details |
| Market Size in 2023 | USD 22.2 Billion |
| Market Size by 2032 | USD 151.2 Billion |
| CAGR | CAGR of 23.78% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Drivers | • Rising demand for AI-driven business intelligence is accelerating the adoption of AI toolkits across key industries. |
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By Type, Open-Source Segment Leads the Market Owing to Flexibility, Cost Efficiency, and Widespread Developer Adoption
The open-source segment held the largest share of the AI toolkit market in 2024, accounting for 58% of total revenue. This dominance due to the advantages of being cost-effective, easier to customize, with fast prototyping and an amazing community backing it up. Well-established technologies like TensorFlow, PyTorch, and Scikit-learn provide a wealth of libraries and are updated constantly, perfect for startups, academic studies, and development focused on innovation
By Component, Software Segment Dominates the Market Due to Rising Enterprise Adoption for Scalable AI Development and Deployment
In 2024, the software segment led the AI toolkit market, capturing 49% of the revenue share. The continued enterprise demand for scalable solutions for AI Model development, deployment and lifecycle management sustains this growth. They also help provide seamless integration of AI to workflows through different software toolkits in big data, predictive modeling, NLP, and computer vision, bolstered by continuous innovation and updates.
By Application, Machine Learning Segment Leads Market Owing to Broad Industrial Applications and Demand for Data-Driven Intelligence
In 2024, the machine learning segment held a dominant position in the AI toolkit market, capturing a substantial share of revenue. Its leadership stems from widespread adoption across industries for tasks like predictive analytics, recommendation engines, and anomaly detection. Machine learning frameworks within AI toolkits empower organizations to extract insights from vast datasets, automate critical decisions, and optimize operational efficiency across finance, healthcare, retail, and automotive sectors.
By End-Use, IT & Telecom Segment Dominates AI Toolkit Market Driven by Early Adoption, 5G Rollouts, and Intelligent Network Management
In 2024, the IT & telecom segment captured a significant share of the AI toolkit market, fueled by early AI adoption and strong digital infrastructure. Increasing use of AI for network optimization, predictive maintenance, fraud detection, and personalized services elevated demand. The surge in data traffic, AI-based cybersecurity needs, and 5G deployment further accelerated toolkit adoption across telecom operations and service innovation.
North America Leads AI Toolkit Market, Asia Pacific Expected to Witness Fastest Growth
In 2024, North America held the largest share of the AI toolkit market, accounting for 39% of revenue. The region's dominance is attributed to robust digital infrastructure, high AI adoption rates, and the presence of leading providers like Google, IBM, Microsoft, and NVIDIA. Significant investments in AI-powered analytics, cybersecurity, and automation across healthcare, BFSI, and telecom sectors further reinforce North America's leadership in AI toolkit deployment.
The Asia Pacific region is projected to register the highest CAGR from 2025 to 2032, driven by rapid digitalization and broad AI implementation across industries. Countries like India, China, Japan, and South Korea are seeing accelerated adoption due to smart manufacturing, fintech growth, and e-commerce expansion. Government-led AI initiatives and increasing cloud infrastructure are fostering favorable conditions for AI toolkits to flourish in both public and private sectors.
Table of Contents – Major Key Points
1. Introduction
2. Executive Summary
3. Research Methodology
4. Market Dynamics Impact Analysis
5. Statistical Insights and Trends Reporting
6. Competitive Landscape
7. Artificial Intelligence Toolkit Market Segmentation, By Component
8. Artificial Intelligence Toolkit Market Segmentation, By Type
9. Artificial Intelligence Toolkit Market Segmentation, By Application
10. Artificial Intelligence Toolkit Market Segmentation, By End-Use
11. Regional Analysis
12. Company Profiles
13. Use Cases and Best Practice
14. Conclusion
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