AI Research
Artificial Intelligence Market Booms with Enterprise
The global artificial intelligence market was valued at USD 279 billion in 2024 and is projected to reach around USD 1.8 trillion by 2030, expanding at a CAGR of nearly 36% from 2025 to 2030.
The global Artificial Intelligence market has witnessed significant growth over the past few years, driven by increasing demand across multiple industries and advancements in technology. The market is characterized by rising adoption of innovative solutions, growing consumer awareness, and supportive government regulations in major economies. As industries continue to prioritize efficiency, sustainability, and cost optimization, Artificial Intelligence is becoming a critical enabler of business transformation.
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The AI market encompasses technologies enabling machines to perform tasks requiring human intelligence, including machine learning, natural language processing, and computer vision. Demand is rising across sectors such as healthcare, finance, automotive, and industrial automation, driven by data proliferation, computational power, and the need for process optimization and predictive analytics.
Key Highlights from the Report
➤ The Artificial Intelligence market is projected to grow at a CAGR of 36% between 2025-2030.
➤ Machine learning platforms dominate across enterprise applications, and generative AI is the fastest-growing segment.
➤ North America dominates the AI market, and Asia Pacific is the fastest growing region thanks to government initiatives and rising enterprise adoption.
➤ Strategic collaborations and M&A activities are shaping the competitive landscape.
➤ Sustainability and digital transformation are creating new opportunities in the market.
Market Segmentation
By Component (Hardware, Software, Services, Others)
By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others)
By End-User (Industrial, IT & Telecom, Healthcare, Retail, BFSI, Automotive, Advertising and Media)
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Regional Insights
The global Artificial Intelligence market demonstrates strong performance across multiple regions:
• North America leads the market due to high adoption rates, strong R&D activities, and the presence of key market players.
• Europe benefits from stringent regulations, increasing focus on sustainability, and government-backed innovation programs.
• Asia-Pacific is expected to witness the fastest growth during the forecast period, fueled by rapid industrialization, growing consumer base, and rising investment in infrastructure.
• Latin America and Middle East & Africa are also showing promising growth, supported by economic reforms and foreign direct investments.
Market Drivers
AI market growth is driven by rising adoption across healthcare, finance, manufacturing, and retail sectors for automation, predictive analytics, and decision-making support. Advancements in machine learning, deep learning, and NLP technologies, coupled with increasing cloud AI solutions, further accelerate market expansion.
Reasons to Buy the Report
✔ Comprehensive market insights with accurate growth projections through 2032.
✔ In-depth segmentation analysis to identify high-growth areas.
✔ Regional breakdown highlighting key opportunities across global markets.
✔ Competitive landscape profiling leading players and recent strategic moves.
✔ Actionable insights for investors, policymakers, and industry stakeholders.
Frequently Asked Questions (FAQs)
◆ How Big is the Global Artificial Intelligence Market?
◆ Who are the Key Players in the Artificial Intelligence Industry?
◆ What is the Projected Growth Rate (CAGR) of the Market from 2025 to 2032?
◆ What is the Forecast Value of the Market by 2032?
◆ Which Region is Expected to Dominate the Market During the Forecast Period?
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Company Insights
Key players operating in the Artificial Intelligence market include:
AT and T Inc., Google Inc, Facebook Inc, IBM Corporation, Apple Inc, Intel Corporation, Salesforce.com Inc, Saudi Telecom Company, Ayasdi Inc, Nuance Communication and Digital Reasoning Systems Inc.
Recent Developments
➠ Oracle OCI File Storage (April 2025): Oracle launched OCI File Storage, a fully managed service for AI/ML and high-performance computing, automating deployment, scaling, and maintenance of all Lustre server components.
➠ Amazon Lex V2 (April 2025): Amazon Lex V2 added generative AI support with Bedrock Knowledge Base, Guardrails, Anthropic Claude 3 Haiku, and Sonnet models, plus QinConnect integration for Amazon Connect.
➠ OpenAI GPT-4o (March 2025): OpenAI integrated an advanced image generator into GPT-4o, enabling precise text rendering, multi-turn image refinement, and creation of logos, diagrams, and infographics.
➠ Microsoft & Kuwait (March 2025): Microsoft partnered with Kuwait to accelerate AI adoption under Vision 2035, including an AI-powered Azure Region, Cybersphere cybersecurity initiatives, AI literacy programs, and Microsoft 365 Copilot integration.
➠ NVIDIA AI Data Platform (March 2025): NVIDIA launched a customizable AI Data Platform for enterprise inference workloads, leveraging Blackwell GPUs, BlueField DPUs, Spectrum-X networking, and the Dynamo library for near real-time AI insights.
➠ IBM Watsonx AI Assistant (March 2025): IBM enhanced Watsonx AI Assistant with multi-language conversational search, improved free-text understanding, and greater accuracy to boost user experience and global accessibility.
Conclusion
The global Artificial Intelligence market is positioned for significant growth, driven by strong demand across industries, technological innovation, and supportive regulatory environments. While challenges such as high costs and regulatory hurdles exist, emerging opportunities in digital transformation, sustainability, and new applications are expected to create profitable pathways for market players. Companies that invest in innovation and strategic collaborations will remain at the forefront of this evolving landscape.
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This release was published on openPR.
MONTGOMERY, Ala. (WSFA) – While artificial intelligence is rapidly transforming our world, a troubling trend shows scammers using it to steal from seniors, specifically grandparents.
You’ve probably heard the phrase ‘seeing is believing’ your whole life. But in an age of artificial intelligence, the turn of phrase doesn’t exactly stand the test of time. When it’s in the wrong hands, this new technology can make our senior citizens, who didn’t grow up in the digital age, a vulnerable population.
“One of the ways we see that being done is with what’s known as the grandparent scam,” Jamie Harding, AARP of Alabama Communications director, said. “The grandparent scam is basically, it usually happens late at night, they’re asleep, and someone calls them purporting to be their grandchild, they’re in trouble, they need money immediately.”
However, it isn’t actually their grandchild on the other end of the phone. Scammers have used AI technology to replicate the sound of their grandchild’s voice to try to take money.
“These are very sophisticated international crime rings, and they have access to a lot of very sophisticated technology,” Harding said.
To protect your family from these scams, Harding suggests having a code word that every member of your family knows so you can be sure it’s actually your loved one calling.
She also advises you not to answer phone calls from unknown numbers and to keep your personal information off the internet.
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AUSTIN, Texas — In the brave new world of artificial intelligence, talent is the new gold, and companies are in a frantic race to find it. While universities work to churn out computer science graduates, a new kind of school has emerged in Austin to meet the insatiable demand: Gauntlet AI.
Gauntlet AI bills itself as an elite training program. It’s a high-stakes, high-reward process designed to forge “AI-first” engineers and builders in a matter of weeks.
“We’re closer to Navy SEAL bootcamp training than a school,” said Ash Tilawat, Head of Product and Learning. “We take the smartest people in the world. We bring them into the same place for a 1000 hours over ten weeks and we make them go all in with building with AI.”
Austen Allred, the co-founder and CEO of Gauntlet AI, says when they claim to be looking for the smartest engineers in the world, it’s no exaggeration. The selection process is intensely rigorous.
“We accept around 2 percent of the applicants,” Allred explained. “We accept 98th percentile and above of raw intelligence, 95th percentile of coding ability, and then you start on The Gauntlet.”
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The price of admission isn’t paid in dollars—there are no tuition fees. Instead, the cost is a student’s absolute, undivided attention.
“It is pretty grueling, but it’s invigorating and I love doing this,” said Nataly Smith, one of the “Gauntlet Challengers.”
Smith, whose passions lie in biotech and space, recently channeled her love for bioscience to complete one of the program’s challenges. Her team was tasked with building a project called “Geno.”
“It’s a tool where a person can upload their genomic data and get a statistical analysis of how likely they are to have different kinds of cancers,” Smith described.
Incredibly, her team built the AI-powered tool in just one week.
The ultimate prize waiting at the end of the grueling 10-week gauntlet is a guaranteed job offer with a starting salary of at least $200,000 a year. And hiring partners are already lining up to recruit challengers like Nataly.
“We very intentionally chose to partner with everything from seed-stage startups all the way to publicly traded companies,” said Brett Johnson, Gauntlet’s COO. “So Carvana is a hiring partner. Here in Austin, we have folks like Function Health. We have the Trilogy organization; we have Capital Factory just around the corner. We’re big into the Austin tech community and looking to double down on that.”
In a world desperate for skilled engineers, Gauntlet AI isn’t just training people; it’s manufacturing the very talent pipeline it believes will power the next wave of technological innovation.
University of Hawaiʻi at Mānoa researchers have made a significant advance in studying how artificial intelligence (AI) understands endangered languages. This research could help communities document and maintain their languages, support language learning and make technology more accessible to speakers of minority languages.
The paper by Kaiying Lin, a PhD graduate in linguistics from UH Mānoa, and Department of Information and Computer Sciences Assistant Professor Haopeng Zhang, introduces the first benchmark for evaluating large language models (AI systems that process and generate text) on low-resource Austronesian languages. The study focuses on three Formosan (Indigenous peoples and languages of Taiwan) languages spoken in Taiwan—Atayal, Amis and Paiwan—that are at risk of disappearing.
Using a new benchmark called FORMOSANBENCH, Lin and Zhang tested AI systems on tasks such as machine translation, automatic speech recognition and text summarization. The findings revealed a large gap between AI performance in widely spoken languages such as English, and these smaller, endangered languages. Even when AI models were given examples or fine-tuned with extra data, they struggled to perform well.
“These results show that current AI systems are not yet capable of supporting low-resource languages,” Lin said.
Zhang added, “By highlighting these gaps, we hope to guide future development toward more inclusive technology that can help preserve endangered languages.”
The research team has made all datasets and code publicly available to encourage further work in this area. The preprint of the study is available online, and the study has been accepted into the 2025 Conference on Empirical Methods in Natural Language Processing in Suzhou, China, an internationally recognized premier AI conference.
The Department of Information and Computer Sciences is housed in UH Mānoa’s College of Natural Sciences, and the Department of Linguistics is housed in UH Mānoa’s College of Arts, Languages & Letters.
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