That speed has caught many IT executives off guard as techniques that have always worked for them stop working, Andersen adds. “With this absolute velocity, you are seeing the old norms of trying to figure out how much to invest, those are no longer useful tools,” he says. “If you use traditional methods, you just don’t get it.”

Although Andersen agrees that inference pricing has gone down significantly, “the reality is that we are asking for more sophisticated tasks, queries that are perhaps 1,000 times more complicated” today as compared to two years ago, he says.

Capitalizing on cloud and data

When Natarajan joined Capital One in March 2023, ChatGPT was barely four months old. Despite having been used for about 15 years at that point, generative AI didn’t take off in terms of C-suite and board mindshare until OpenAI introduced ChatGPT.

The Artificial Intelligence (AI) Toolkit Market is estimated to be valued at approximately USD 10.2 billion in 2024 and is projected to reach around USD 58.7 billion by 2033, growing at a CAGR of about 21.3% during the forecast period from 2025 to 2033.

Artificial Intelligence (AI) Toolkit Market Overview

The Artificial Intelligence (AI) Toolkit Market is rapidly expanding as organizations across industries adopt AI to enhance automation, analytics, and decision-making. AI toolkits, which include frameworks, libraries, and development environments, enable developers to efficiently build, train, and deploy machine learning models. The growing demand for intelligent applications in sectors such as healthcare, finance, retail, and manufacturing is driving market growth. Cloud-based AI platforms and open-source toolkits like TensorFlow, PyTorch, and Scikit-learn are gaining significant traction due to their scalability and ease of use. Furthermore, investments in AI research and government support for digital transformation are boosting adoption. Despite challenges such as data privacy concerns and skill shortages, the market is expected to maintain strong growth through 2033.

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The report further explores the key business players along with their in-depth profiling

Amazon Web Services (AWS), Google LLC, Microsoft Corporation, IBM Corporation, Intel Corporation, NVIDIA Corporation, Oracle Corporation, H2O.ai, Salesforce, Teradata Corporation.

Artificial Intelligence (AI) Toolkit Market Segments:

By Component

• Software (Frameworks, Libraries, Platforms)

• Services (Training & Support, Consulting, Integration)

By Deployment Mode

• Cloud-Based

• On-Premises

By Technology

• Machine Learning

• Natural Language Processing (NLP)

• Computer Vision

• Deep Learning

By Application

• Data Analytics

• Model Training & Deployment

• Speech Recognition

• Image & Video Processing

• Robotic Process Automation

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging Artificial Intelligence (AI) Toolkit Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the Artificial Intelligence (AI) Toolkit Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

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⏩ In-depth analysis, as well as the market size and segmentation, help you identify current Artificial Intelligence (AI) Toolkit Market opportunities.

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⏩ The Artificial Intelligence (AI) Toolkit Market research report gives a thorough analysis of the current status of the Artificial Intelligence (AI) Toolkit Market’s major players.

Key questions answered in the report:

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➧ What are the sales, revenue, and price analysis of the top manufacturers of the Artificial Intelligence (AI) Toolkit Market?

➧ Who are the distributors, traders, and dealers of Artificial Intelligence (AI) Toolkit Market?

➧ What are the market opportunities and threats faced by the vendors in the Artificial Intelligence (AI) Toolkit Market?

➧ What are deals, income, and value examination by types and utilizations of the Artificial Intelligence (AI) Toolkit Market?

➧ What are deals, income, and value examination by areas of enterprises in the Artificial Intelligence (AI) Toolkit Market?

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➼ Historical and future market research in terms of size, share growth, volume, and sales.

➼ Major changes and assessment in market dynamics and developments.

➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

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WHO, ITU, WIPO showcase a new report on AI use in traditional medicine

Artificial intelligence (AI) is ushering in a transformative era for traditional medicine, one where centuries-old healing systems are enhanced by cutting-edge technologies to deliver more safe, personalized, effective, and accessible care.

At the AI for Good Global Summit, the World Health Organization (WHO), the International Telecommunication Union (ITU), and the World Intellectual Property Organization (WIPO) released a new technical brief, Mapping the application of artificial intelligence in traditional medicine. Launched under the Global Initiative on AI for Health, this brief offers a roadmap harnessing this potential responsibly while safeguarding cultural heritage and data sovereignty.

A new era for traditional medicine

Traditional, complementary and integrative medicine (TCIM) is practiced in 170 countries and is used by billions of people. The TCIM practices are increasingly popular globally, driven by a growing interest in holistic health approaches that emphasize prevention, health promotion and rehabilitation.

The new brief showcases experiences in many countries using AI to unlock new frontiers in personalized care, drug discovery, and biodiversity conservation. It includes examples such as how AI-powered diagnostics are being used in Ayurgenomics; machine learning models identifying medicinal plants in countries including Ghana and South Africa; and the use of AI to analyze traditional medicine compounds to treat blood disorders in the Republic of Korea.

“Our Global Initiative on AI for Health aims to help all countries benefit from AI solutions and ensure that they are safe, effective, and ethical,” said Seizo Onoe, Director of the ITU Telecommunication Standardization Bureau. “This partnership of ITU, WHO and WIPO brings together the essential expertise.”

Data-driven innovation with ethical roots

The brief emphasizes the importance of good-quality, inclusive data and participatory design to ensure AI systems reflect the diversity and complexity of traditional medicine. AI applications can support strengthening the evidence and research base for TCIM, for example through the Traditional Knowledge Digital Library in India and the Virtual Health Library in the Americas, which use AI to preserve Indigenous knowledge, promote collaboration and prevent biopiracy. Biopiracy is a term for unauthorized extraction of biological resources and/or associated traditional knowledge from developing countries or the patenting of spurious inventions based on such knowledge or resources without compensation.

“Intellectual property is an important tool to accelerate the integration of AI into traditional medicine,” said WIPO Assistant Director- General, Edward Kwakwa. “Our work at WIPO, including the recently adopted WIPO Treaty on Intellectual Property, Genetic Resources and Associated Traditional Knowledge, supports stakeholders manage IP to deliver on policy priorities including for Indigenous Peoples as well as local communities.”

Guarding data sovereignty, empowering communities

The new document calls for urgent action to uphold Indigenous Data Sovereignty (IDSov) and ensure that AI development is guided by free, prior, and informed consent (FPIC) principles. It showcases community-led data governance models from Canada, New Zealand, and Australia, and urges governments to adopt legislation that empowers Indigenous Peoples to control and benefit from their data.

“AI must not become a new frontier for exploitation,” said Dr Yukiko Nakatani, WHO Assistant Director-General for Health Systems. “We must ensure that Indigenous Peoples and local communities are not only protected but are active partners in shaping the future of AI in traditional medicine.”

A global call to action

With the global TCIM market projected to reach nearly US$600 billion in 2025, the application of AI could further accelerate the growth and impact of TCIM and holistic health care. Current utilization and potential of AI highlight many opportunities, but there are many areas of knowledge gaps and risks.

There is a need to develop holistic frameworks tailored to TCIM in areas such as regulation, knowledge sharing, capacity building, data governance and the promotion of equity, to ensure the safe, ethical and evidence-based integration of frontier technologies such as AI into the TCIM landscape.

The new technical brief calls on all stakeholders to:

• Invest in inclusive AI ecosystems that respect cultural diversity and IDSov;
• Develop national policies and legal frameworks that explicitly address AI in traditional medicine;
• Build capacity and digital literacy among traditional medicine practitioners and communities;
• Establish global standards for data quality, interoperability, and ethical AI use; and
• Safeguard traditional knowledge through AI-powered digital repositories and benefit-sharing models.

By aligning the power of AI with the wisdom of traditional medicine, a new paradigm of care can emerge; one that honors the past, empowers the present, and shapes a healthier, more equitable future for all.