Artificial Intelligence (AI) Toolkit Market Size - By Type (Open Source, Commercial), Component (Hardware, Software, Services), Application (Natural Language Processing, Machine Learning, Computer Vision), End-use, Regional Outlook & Forecast, 2023 - 2032

Published Date: March - 2025 | Publisher: MIR | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format

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Artificial Intelligence Toolkit Market Size

Artificial Intelligence Toolkit Market size was valued at USD 17.8 billion in 2022 and is expected to record a CAGR of over 24% during the forecast period of 2023 to 2032. The increasing adoption of AI-driven applications across industries including healthcare, finance, e-commerce, and manufacturing is a major reason for propelling the market. Organizations are using AI toolkits to train and deploy deep learning and machine learning models on tasks such as image recognition, natural language processing, recommendation systems, and many more. 
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In July 2023, for example, Monetary Authority of Singapore (MAS) launched an exciting open-source tool aimed at ensuring the ethical development of AI for use in finance.

Referred to as the Veritas Toolkit 2.0, this pioneering AI toolkit was created jointly by a team of 31 industry stakeholders with guidance from MAS. The Veritas Toolkit 2.0 acts as a worthwhile tool for financial institutions (FIs) in that it provides them with evaluation methodologies to check for compliance against the principles of Fairness, Ethics, Accountability, and Transparency (FEAT). These standards are vital for showing accountable use of AI and data analytics in finance. 

Artificial Intelligence (AI) Toolkit Market Report Attributes
Report Attribute Details
Base Year 2022
Artificial Intelligence (AI) Toolkit Market Size in 2022 USD 17.8 Billion
Forecast Period 2023 to 2032
Forecast Period 2023 to 2032 CAGR 24%
2032 Value Projection USD 149.6 Billion
Historical Data for 2018 - 2022
No. of Pages 230
Tables, Charts & Figures 338
Segments covered Type, Component, application, and end-use
Growth Drivers
  • Increasing adoption of AI and ML across industries
  • Growing focus on AI security and privacy
  • Increasing investment in AI tools
  • Rise in inclination towards automation and digitalization
Pitfalls & Challenges
  • Complexity concerns

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Advancements in AI research could emerge as a prominent factor strengthening the AI toolkit market outlook. Ongoing technological breakthroughs in AI research, including the development of more powerful algorithms, improved model architectures, and novel techniques, are fueling the need for sophisticated AI toolkits. To that end, in September 2023, IBM Corp. expanded its offerings for mainframe developers by introducing a range of new solutions that streamline the deployment of artificial intelligence (AI) on their existing data center hardware.

These updates to IBM Z are geared towards helping customers achieve improved business outcomes by implementing AI across various industries and use cases. These enhancements empower clients to enhance the accuracy of recommendations in the insurance sector, enhance the reliability and timeliness of anti-money laundering measures, and mitigate risk exposure for financial services providers.

Researchers and developers rely on these toolkits to stay at the cutting edge of AI technology and create innovative solutions. As a result, more such breakthroughs in the field will carve a healthy growth trajectory for the AI toolkit business. However, with the increasing use of AI, there are growing concerns about data privacy and security. Regulations like GDPR and increasing public awareness of data privacy issues require organizations to be cautious when using AI toolkits. This potentially leads to more stringent requirements and restrictions on AI development and deployment, impacting the overall artificial intelligence toolkits market dynamics.

COVID-19 Impact

The COVID-19 pandemic accelerated the sales of AI toolkits as organizations sought to automate processes, analyze data, and develop solutions for remote work and healthcare needs. However, it also disrupted supply chains, leading to delays in hardware production and reduced access to resources. The economic uncertainty caused some businesses to scale back AI investments. Nevertheless, the crisis underscored the importance of AI for resilience, leading to increased interest and investment in AI toolkits for future-proofing operations.

Artificial Intelligence Toolkit Market Trends

The increasing use of AI in autonomous vehicles is poised to drive the demand for AI toolkits. AI plays a pivotal role in enabling self-driving cars to perceive their environment, make decisions, and navigate safely. In a recent turn of events, AI Singapore, in partnership with the Ministry of Defence (Mindef), initiated a groundbreaking USD 20 million grant program aimed at advancing AI technology in self-driving vehicles and materials research for both military and commercial applications in July 2023. This collaboration represents the first of its kind involving local researchers in the AI field.

The USD 20 million fund will be allocated to five research teams, comprising industry players and universities in Singapore and abroad. Three teams will focus on developing AI systems for autonomous vehicles, while the other two will concentrate on generative AI for inventing new materials for military equipment.

As automakers and tech companies intensify their efforts to develop autonomous solutions, the demand for comprehensive AI toolkits to create and fine-tune these complex AI systems will grow. These toolkits provide essential resources for AI development, making them indispensable in the pursuit of autonomous vehicle technology, thus accelerating their adoption rate.

Artificial Intelligence Toolkit Market Analysis

Learn more about the key segments shaping this market

Based on type, the open-source segment held over 60% of the market share in 2022. Open-source AI toolkits are gaining popularity due to several compelling reasons. They offer accessibility, allowing a broader range of developers to leverage AI technologies without prohibitive costs. Collaboration and community support foster innovation, enabling rapid advancements and the sharing of knowledge. Transparency and customization are additional advantages, as users can inspect and modify the source code to suit their specific needs while maintaining transparency in AI models. These factors make open-source AI toolkits an attractive choice for businesses and researchers alike.

Learn more about the key segments shaping this market

Based on application, the machine learning segment accounted for 40% of the AI toolkits market share in 2022. The rapid integration of AI toolkits in machine learning applications is driven by their versatility, accessibility, and efficiency. These toolkits offer a wide range of pre-built algorithms, reducing the need for developers to create models from scratch. They empower both experts and newcomers to leverage machine learning, driving rapid development and deployment. Additionally, open-source AI toolkits like TensorFlow and PyTorch foster a collaborative ecosystem, enabling developers to stay current with the latest advancements while community support and regular updates enhance their usability and reliability.

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North America artificial intelligence toolkits market share of over 30% in 2022, driven by the region’s strong ecosystem of technology companies, research institutions, and startups focused on AI development. Additionally, there is substantial investment in AI research and development, with government support and venture capital funding fueling innovation. North America's diverse industries, such as healthcare, finance, and autonomous vehicles, are increasingly integrating AI into their operations, driving demand for AI toolkits to create customized solutions. This combination of factors has contributed to the industry's healthy growth in the region.

Artificial Intelligence Toolkit Market Share

Major companies operating in the AI toolkit industry are

Google LLC and Microsoft Corporation dominate the artificial intelligence (AI) toolkit market. Companies in the market are adopting various strategies to enhance their presence, including partnerships with tech giants, acquisitions of innovative startups, active community engagement to support developers, and the continuous development of user-friendly, feature-rich AI toolkit offerings. These approaches aim to expand market reach and meet the growing demand for AI solutions.

Artificial Intelligence Toolkit Industry News

  • In September 2023, IBM revealed that its latest offerings, designed to facilitate the adoption of cutting-edge AI frameworks, will be accessible for LinuxOne, IBM Z, Cloud Pak, and z/OS architectures. The initial addition is the AI Toolkit for IBM Z and LinuxONE, which supports the development of mission-critical applications using open-source frameworks such as IBM's Z Accelerated line with SnapML and TensorFlow. Furthermore, a Python Toolkit for the underlying z/OS assures compliance with the company's Security and Privacy by Design principles by providing an open-source Python library for AI and ML workloads.

The artificial intelligence toolkit market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD billion) from 2018 to 2032 for the following segments

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Market, By Type

  • On-premises
  • Cloud

Market, By Component

  • Hardware
  • Software
  • Services

Market, By Application

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

Market, By End-use

  • IT & Telecom
  • Retail and E-commerce
  • BFSI
  • Manufacturing
  • Energy and Utility
  • Government
  • Others

The above information has been provided for the following regions and countries

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Russia
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Southeast Asia
    • ANZ 
  • Latin America
    • Brazil
    • Mexico
    • Argentina
  • MEA
    • UAE
    • Saudi Arabia
    • South Africa

 

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Table of Content

Here’s a Table of Contents (TOC) for a document on the Artificial Intelligence (AI) Toolkit Market:

Table of Contents

1. Introduction

  • Overview of AI Toolkits

  • Importance of AI in Modern Applications

  • Evolution of AI Development Tools

2. Market Dynamics

  • Key Market Drivers

  • Challenges and Restraints

  • Emerging Opportunities

3. Market Segmentation

  • By Type

    • Machine Learning (ML) Toolkits

    • Deep Learning Frameworks

    • Natural Language Processing (NLP) Toolkits

    • Computer Vision Toolkits

    • Reinforcement Learning Platforms

  • By Deployment Model

    • Cloud-Based AI Toolkits

    • On-Premises AI Toolkits

  • By Application

    • AI Model Development & Training

    • Data Analytics & Processing

    • AI-Powered Automation

    • Predictive Maintenance & Forecasting

    • Generative AI & Large Language Models (LLMs)

  • By End-User Industry

    • IT & Telecom

    • Healthcare & Life Sciences

    • Retail & E-Commerce

    • BFSI (Banking, Financial Services & Insurance)

    • Manufacturing & Industrial Automation

    • Media & Entertainment

    • Government & Defense

  • By Region

    • North America

    • Europe

    • Asia-Pacific

    • Latin America

    • Middle East & Africa

4. Competitive Landscape

  • Key Market Players and Their AI Toolkits

  • Innovations in AI Development Technologies

  • Strategic Partnerships, Mergers & Acquisitions

5. Industry Trends and Future Outlook

  • Rise of Open-Source AI Frameworks

  • Integration of AI Toolkits with Cloud & Edge Computing

  • Ethical AI & Responsible AI Development

  • Market Forecast & Growth Trends

6. Regulatory and Compliance Considerations

  • Data Privacy & AI Ethics Regulations

  • Compliance with Global AI Governance Standards

7. Conclusion

  • Key Takeaways and Insights

  • Future Prospects in the AI Toolkit Market

 

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