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Artificial Intelligence Toolkit Market to Reach USD 151.2

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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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About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company’s aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.


            



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Google AI Mode is getting a bigger AI brain from Gemini

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  • Google has upgraded its AI Mode with the advanced Gemini 2.5 Pro
  • AI Mode has also added Deep Search, which can now run hundreds of background searches
  • A new calling tool built into Search lets Google call businesses on your behalf

Google is continuing to try to get you to use its AI Mode when searching online with new and enhanced AI tools. The conversational search tool has made Google’s Gemini 2.5 Pro AI model available in AI Mode, along with the long-form report writing tool Deep Search.

Google AI Pro and AI Ultra subscribers in the U.S. who are also part of the AI Mode experiment in Search Labs will now see an option to choose Gemini 2.5 Pro when asking tough questions as well.



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Teachers gather to talk artificial intelligence in the classroom

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HUNTSVILLE, Ala (WHNT) — Our world is constantly evolving, and lately, a lot of that evolution has been in the form of artificial intelligence.

“This is the future,” Kala Grice-Dobbins said. “It’s not going away, and we want our teachers to be informed, but also our students to be informed.”

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Grice-Dobbins is a cybersecurity teacher with the Madison County School System.

Thursday, more than 150 teachers from across North Alabama gathered to talk about AI and the use of it in the classroom.

“It’s clearly a novel technology– new for kids, new for teachers, and they’re trying to figure out how to use it,” Randy Sparkman said. “So we’re just trying to bring resources and bring these, Madison County districts, particularly, together to talk about strategies for using AI in the new school year.”

Sparkman is a part of Mayor Tommy Battle’s AI task force. They put on the AI in education event.

Gov. Ivey announces more than $3.7 Million in Rebuild Alabama Funding for local road projects across Alabama

Grace-Dobbins said she uses AI for help with things like lesson plans and recommendation letters.

“All of us use templates every day,” she said. “Why can’t it be our template to start with, and then we edit it because nothing’s perfect when it comes out.”

She said it’s easier than you think to spot students plagiarizing by using the tool.

“It’s not going to be your top of the line type paper,” she said. “It’s not going to be written in their kind of language. It’s not going to have their kind of thoughts involved, and so the more you know your students, you’re going to know this is not you.”

Angela Evans is also a teacher. She said she’s already been using AI in her classroom for years.

She has a message for those who may be skeptical. What she’d tell people.

“Don’t be scared because change is nature,” she said. “We are going to progress our humanity. Our intelligence is going to continue to progress.

Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.

For the latest news, weather, sports, and streaming video, head to WHNT.com.



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Virginia Is First State to Use Agentic AI for Regulatory Streamlining

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Virginia is launching a pilot program that will use artificial intelligence (AI) agents to streamline regulations — the first such effort in the country — and reinforce the state’s standing as a friendly place to do business.

Gov. Glenn Youngkin issued an executive order to deploy AI agents to review and streamline Virginia’s regulations. The tool will scan all regulations and guidance to identify areas where there are conflicts with the statute, as well as redundancies and complex and unclear language.

“We have made tremendous strides towards streamlining regulations and the regulatory process in the Commonwealth,” Youngkin said in a press release. “Using emergent artificial intelligence tools, we will push this effort further in order to continue our mission of unleashing Virginia’s economy in a way that benefits all of its citizens.”

The new executive order adds to two other 2022 orders, which had mandated Virginia agencies to streamline regulations by at least 25%.

To date, state agencies have already streamlined regulations by 26.8% on average and cut 48% of words in guidance documents.

The new executive order is expected to help agencies struggling to hit the 25% regulatory reduction goal and give a further boost to those that have already met or exceeded requirements. The goal is to ensure the streamlining is done “to the greatest extent possible,” according to the governor’s office.

See more: Tech Giants Seek 10-Year Freeze on State AI Rules

All States Now Have AI Bills or Laws

The launch comes as Congress removed a 10-year ban on state AI regulations that was part of President Donald Trump’s “One Big Beautiful Bill.”

At present, states are accelerating AI regulation. All 50 states plus D.C., Puerto Rico and the Virgin Islands introduced AI legislation in 2025, with more than half enacting measures covering areas such as algorithmic fairness, transparency and consumer protections, according to a blog post by the law firm Brownstein Hyatt Farber Schreck.

In California, major bills include SB 420, which will establish an AI bill of rights, and SB 243, which aims to protect minors from chatbot manipulations. There’s also AB 1018, which seeks to ensure AI systems exhibit fairness in housing and hiring decisions, according to Brownstein.

In New York, SB 6453 has passed both chambers to be the first state law to restrict “frontier” or advanced AI models, according to Brownstein. In Connecticut, SB 2 is a comprehensive AI bill that awaits final votes.

Texas, Colorado, Utah and Montana have already enacted AI laws, and uncertainty about their enforceability has been lifted, the law firm said.

Meanwhile, California’s Judicial Council is considering requiring all 65 courts to adopt policies governing generative AI use unless they ban it outright, according to Reuters. If adopted, it would be the largest court system in the country with an AI policy.

Other states where court systems already have an AI policy include Illinois, Delaware and Arizona. States considering adopting an AI policy for their courts include New York, Georgia and Connecticut.

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