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Edge Artificial Intelligence (AI) Processor Market Poised

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Edge Artificial Intelligence (AI) Processor Market

The Edge AI Processor Market is undergoing a transformative shift as smart technologies continue to proliferate across industries. In 2025, the market size stood at US$ 3,677.1 million, and it is projected to surpass US$ 8,597.3 million by 2032, growing at a CAGR of 12.9% during the forecast period (2025-2032). According to Persistence Market Research (PMR), the market is driven by the need for real-time data processing in edge devices and the growing demand for enhanced data privacy, lower latency, and reduced reliance on cloud infrastructure.

Among the segments, consumer devices lead the market due to widespread adoption of smartphones and IoT gadgets. North America is the leading geographical region, expected to reach US$ 3.9 billion by 2032. This dominance is primarily due to a surge in the number of IoT-connected devices and heavy investment in AI infrastructure, particularly in the United States. Edge AI’s promise of real-time analytics without needing cloud connectivity is pushing its use across homes, vehicles, factories, and healthcare systems.

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✅Key Highlights from the Report:

➤ The market is set to grow from US$ 3,677.1 million in 2025 to US$ 8,597.3 million by 2032.

➤ Consumer devices are expected to dominate with a CAGR of 12.4% during the forecast period.

➤ North America is forecasted to be the largest regional market by 2032.

➤ The CPU-based Edge AI processor segment is projected to maintain the highest traction.

➤ Real-time data processing and reduced latency are major adoption drivers.

➤ Automotive and healthcare sectors are emerging as high-growth end-use industries.

Market Segmentation: Breaking Down the Edge AI Processor Ecosystem

Edge AI processor market segmentation helps identify core growth pockets across various categories. By processor type, the market includes Central Processing Units (CPUs), Graphics Processing Units (GPUs), and Application-Specific Integrated Circuits (ASICs). Among these, CPUs remain the most sought-after segment due to their versatility and compatibility with a wide range of applications. As CPUs are cost-effective and energy-efficient, they are widely preferred for mobile and IoT applications, a trend emphasized by Persistence Market Research.

From a device type perspective, consumer devices dominate the market. The sheer volume of smartphones-projected to surpass 1.5 billion units by 2028-demonstrates how deeply integrated Edge AI processors are becoming in daily life. These processors power voice assistants, facial recognition, and personalization features directly on devices, thereby enhancing user experience while maintaining data privacy by reducing dependence on cloud services.

✅Regional Insights

The United States remains at the forefront of the edge AI processor revolution. With an expected CAGR of 11.4% from 2025 to 2032 and projected market size of US$ 3.1 billion, the U.S. growth is attributed to increased smartphone penetration and investment in AI-based innovations. Edge AI processors are being integrated into smart home systems, healthcare diagnostics, and autonomous driving technologies.

In the United Kingdom, the market is projected to reach US$ 478.0 million by 2032, driven by high smartphone adoption and advancements in 5G technology. Meanwhile, China is positioning itself as a global manufacturing hub for edge AI processors. The market in China is forecasted to be worth US$ 813.3 million by 2032, supported by the country’s massive production of smartphones and smart vehicles, and robust government initiatives to lead AI innovation.

✅Market Drivers

One of the primary drivers for the edge AI processor market is the exponential growth in IoT-connected devices. Expected to reach 75 billion devices by 2025, IoT is transforming industries like healthcare, automotive, and smart homes, all of which require instant data processing. Edge AI enables this by processing information directly on the device, reducing latency and increasing efficiency.

Another strong market driver is the rise of Industry 4.0. From predictive maintenance in factories to automated systems in logistics and retail, edge AI processors are becoming indispensable. The growing demand for real-time decision-making, coupled with stricter data privacy regulations, has made edge processing a practical and secure solution for businesses.

Finally, the integration of Edge AI in autonomous vehicles represents a transformative force. Autonomous driving requires millisecond-level decisions which are not feasible with cloud latency. Edge AI processors allow vehicles to make fast, independent judgments, enhancing safety and performance.

✅Market Restraints

Despite its strong growth trajectory, the market faces several restraints. One key challenge is the complexity of designing efficient edge AI chips that balance power consumption with computational speed. These chips need to function efficiently without access to the massive resources of cloud servers.

High upfront development costs and limited compatibility across diverse hardware ecosystems can also slow down adoption. Companies must invest in specialized talent and equipment to build edge AI systems, creating entry barriers for smaller players.

Furthermore, security concerns still exist. While edge AI offers better privacy than cloud-based models, securing data locally on devices from tampering or unauthorized access is a continuing challenge for manufacturers and users alike.

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✅Market Opportunities

Emerging opportunities for the edge AI processor market are numerous and far-reaching. The rapid expansion of smart cities is a fertile ground for innovation. Smart traffic systems, public safety networks, and energy management infrastructure require real-time data analytics, an area where edge AI excels.

Healthcare is another domain poised for disruption. From wearables that monitor vitals to diagnostic devices using AI for disease detection, edge processors can provide faster and more secure healthcare solutions. The market is set to grow as demand for remote patient monitoring and telemedicine increases globally.

Additionally, edge AI’s role in retail and e-commerce is expanding. Applications like cashier-less stores, smart shelves, and customer behavior tracking rely on localized decision-making. This opens doors for edge AI processor manufacturers to collaborate with global retail giants for next-gen retail solutions.

✅Reasons to Buy the Report:

✔ Gain in-depth insight into the global edge AI processor market dynamics and future trends.

✔ Evaluate market segments and opportunities across processor types and end-user industries.

✔ Understand regional dynamics and identify the most promising geographies for investment.

✔ Leverage competitor analysis and recent developments for strategic decision-making.

✔ Access actionable insights backed by industry-leading research from Persistence Market Research.

Company Insights

✦ Qualcomm Technologies Inc.

✦ Mythic

✦ Arm Limited

✦ HiSilicon Technologies Co Ltd

✦ Intel Corporation

✦ Advanced Micro Devices, Inc. (AMD)

✦ Rohm Semiconductors

✦ Hyundai Motor Group

✦ Alphabet Inc.

✦ Apple Inc.

✦ Samsung Electronics Co., Ltd.

✦ Nvidia Corporation

Recent Developments:

✦ In November 2022, Rohm Semiconductors unveiled an AI chip for edge computing with ultra-low power, capable of real-time failure detection in IoT devices.

✦ In January 2020, Apple Inc. acquired Xnor.ai, enabling AI functionalities to operate directly on devices like smartphones and cameras, reinforcing its edge computing capabilities.

Conclusion

The Edge AI Processor Market is poised to redefine the future of AI-powered applications by bringing computation closer to the data source. As industries transition towards smarter and more autonomous systems, the need for low-latency, energy-efficient, and secure processing becomes critical. With robust growth predicted across regions and segments, particularly in consumer devices and automotive applications, stakeholders across the ecosystem-from chip manufacturers to application developers-stand to benefit immensely.

Persistence Market Research reinforces the forecast with evidence-based insights, painting a future where Edge AI processors are central to innovation. From transforming urban infrastructure to enabling intelligent healthcare and personalized retail experiences, the potential of this market is vast and multifaceted. As companies navigate the technological, financial, and strategic landscapes, those who invest early and innovate consistently will lead the charge in shaping the intelligent edge.

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Persistence Market Research

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Email: sales@persistencemarketresearch.com

Web: https://www.persistencemarketresearch.com

About Persistence Market Research:

At Persistence Market Research, we specialize in creating research studies that serve as strategic tools for driving business growth. Established as a proprietary firm in 2012, we have evolved into a registered company in England and Wales in 2023 under the name Persistence Research & Consultancy Services Ltd. With a solid foundation, we have completed over 3600 custom and syndicate market research projects, and delivered more than 2700 projects for other leading market research companies’ clients.

Our approach combines traditional market research methods with modern tools to offer comprehensive research solutions. With a decade of experience, we pride ourselves on deriving actionable insights from data to help businesses stay ahead of the competition. Our client base spans multinational corporations, leading consulting firms, investment funds, and government departments. A significant portion of our sales comes from repeat clients, a testament to the value and trust we’ve built over the years.

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Causaly Introduces First Agentic AI Platform Built for Life Sciences Research and Development

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Specialized AI agents automate research workflows and accelerate
drug discovery and development with transparent, evidence-backed insights

LONDON, Sept. 16, 2025 /PRNewswire/ — Causaly today introduced Causaly Agentic Research, an agentic AI breakthrough that delivers the transparency and scientific rigor that life sciences research and development demands. First-of-their-kind, specialized AI agents access, analyze, and synthesize comprehensive internal and external biomedical knowledge and competitive intelligence. Scientists can now automate complex tasks and workflows to scale R&D operations, discover novel insights, and drive faster decisions with confidence, precision, and clarity.

Industry-specific scientific AI agents

Causaly Agentic Research builds on Causaly Deep Research with a conversational interface that lets users interact directly with Causaly AI research agents. Unlike legacy literature review tools and general-purpose AI tools, Causaly Agentic Research uses industry-specific AI agents built for life sciences R&D and securely combines internal and external data to create a single source of truth for research. Causaly AI agents complete multi-step tasks across drug discovery and development, from generating and testing hypotheses to producing structured, transparent results always backed by evidence.

“Agentic AI fundamentally changes how life sciences conducts research,” said Yiannis Kiachopoulos, co-founder and CEO of Causaly. “Causaly Agentic Research emulates the scientific process, automatically analyzing data, finding biological relationships, and reasoning through problems. AI agents work like digital assistants, eliminating manual tasks and dependencies on other teams, so scientists can access more diverse evidence sources, de-risk decision-making, and focus on higher-value work.”

Solving critical research challenges

Research and development teams need access to vast amounts of biomedical data, but manual and siloed processes slow research and create long cycle times for getting treatments to market. Scientists spend weeks analyzing narrow slices of data while critical insights remain hidden. Human biases influence decisions, and the volume of scientific information overwhelms traditional research approaches.

Causaly addresses these challenges as the first agentic AI platform for scientists that combines extensive biomedical information with competitive intelligence and proprietary datasets. With a single, intelligent interface for scientific discovery that fits within scientists’ existing workflows, research and development teams can eliminate silos, improve productivity, and accelerate scientific ideas to market.

Comprehensive agentic AI research platform

As part of the Causaly platform, Causaly Agentic Research provides scientists multiple AI agents that collaborate to:

  • Conduct complex analysis and provide answers that move research forward
  • Verify quality and accuracy to dramatically reduce time-to-discovery
  • Continuously scan the scientific landscape to surface critical signals and emerging evidence in real time
  • Deliver fully traceable insights that help teams make confident, evidence-backed decisions while maintaining scientific rigor for regulatory approval
  • Connect seamlessly with internal systems, public applications, data sources, and even other AI agents, unifying scientific discovery

Availability

Causaly Agentic Research will be available in October 2025, with a conversational interface and foundational AI agents to accelerate drug discovery and development. Additional specialized AI agents are planned for availability by the end of the year.

Explore how Causaly Agentic Research can redefine your R&D workflows and bring the future of drug development to your organization at causaly.com/products/agentic-research.

About Causaly

Causaly is a leader in AI for the life sciences industry. Leading biopharmaceutical companies use the Causaly AI platform to find, visualize, and interpret biomedical knowledge and automate critical research workflows. To learn how Causaly is accelerating drug discovery through transformative AI technologies and getting critical treatments to patients faster, visit www.causaly.com.

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Josh Bersin Company Research Reveals How Talent Acquisition Is Being Revolutionized by AI

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  • Jobs aren’t disappearing. Through AI, talent acquisition is fast evolving from hand-crafted interviewing and recruiting to a data-driven model that ensures the right talent is hired at the right time, for the right role with unmatched accuracy

  • Traditional recruiting isn’t working: in 2024, only 17% of applicants received interviews and 60% abandoned slow application processes

  • AI drives 2–3x faster hiring, stronger candidate quality, sharper targeting—and 95% candidate satisfaction at Foundever, from 200,000+ applicants in just six months

OAKLAND, Calif., Sept. 16, 2025 /PRNewswire/ — The Josh Bersin Company, the world’s most trusted HR advisory firm, today released new research showing that jobs aren’t disappearing—they’re being matched with greater intelligence. The research, produced in collaboration with AMS, reveals major advances in talent acquisition (TA) driven by AI-enabled technology, which are yielding 2–3x faster time to hire, stronger candidate-role matches, and unprecedented precision in sourcing.

The Josh Bersin Company (PRNewsfoto/The Josh Bersin Company)

The global market for recruiting, hiring, and staffing is over $850 billion and is growing at 13% per year, despite the economic slowdown, though signs of strain are evident. This means TA leaders are turning to AI to adapt, as AI transforms jobs, creates the need for new roles, new skills, and AI expertise.

According to the research and advisory firm, even without AI disruption, over 20% of employees consider changing jobs each year, driving demand for a new wave of high-precision, AI-powered tools for assessment, interviewing, selection, and hiring. Companies joining this AI revolution are hiring 200-300% faster, with greater accuracy and efficiency than their peers, despite the job market slowdown.

According to the report, The Talent Acquisition Revolution: How AI is Transforming Recruiting, the TA automation revolution is delivering benefits across the hiring ecosystem: job seekers experience faster recognition and better fit, while employers gain accurate, real-time, and highly scalable recruitment.

This is against a context of failure with current hiring. In 2024, less than one in four (17%) of applicants made it to the interview stage, and 60% of job seekers, due to too-slow hiring portals, abandoned the whole application process.

The research shows how organizations are already realizing benefits such as lower hiring costs, stronger internal mobility, and higher productivity. AI-empowered TA teams are also streamlining operations by shifting large portions of manual, admin-heavy work to specialized vendors.

Early successes are striking: after deploying conversational AI, a major U.S. resort operator increased scheduled interviews by 423% in 12 months while reducing candidate drop-off by 85%. A new AI TA process at Foundever hit 95% candidate satisfaction rating from over 200,000 applicants in just six months, while a leading global automotive company reported $2 million in savings in its first year using AI-powered interview scheduling.

The research highlights how AI is helping TA overcome frustrations like vague job descriptions, inconsistent interviews, and labor-intensive processes.

HR teams now use AI to automate tasks from profiling and sourcing to screening, scheduling, interviewing, and negotiating offers. Companies showcasing these successes include major international brands spanning the hospitality, food, healthcare, and technology sectors, such as Fontainebleau Las Vegas and Compass Group.

Some organizations are using AI-powered recruiting assistants to manage routine communication and negotiations. Recruiters set parameters for salary, benefits, and start dates, while the AI answers questions, updates offers, and proposes alternatives in real time. By automating tasks and personalizing the experience, AI shortens turnaround times and frees recruiters to focus on strategy.

The vendor market is transforming, with SAP acquiring SmartRecruiters and Workday acquiring Paradox to stay competitive. Innovations include AI agents enabling automation of the full hiring journey (Eightfold AI, Maki People) conversational AI for candidate engagement (Glider AI, Paradox, Radancy), AI-driven assessments (CodeSignal, HireVue, TaTiO), and platforms that benchmark roles against labor market data (Draup, Galileo, Lightcast, Reejig, SeekOut, TechWolf).

Report author and Josh Bersin Company Industry Analyst & Senior Research Director, Stella Ioannidou, says:

“For decades, TA has been viewed as a cost center, focused on using applicant tracking systems to manage incoming candidates and relying on recruiters to screen and interview. This process was slow, expensive, and delivered a poor experience for job seekers.

“Today, by leveraging AI-powered platforms and integrated data, TA teams can identify, attract, and engage the best talent in the market with unparalleled precision, often before competitors even know those candidates are available—resulting in a proactive, data-driven approach that enables organizations to respond quickly to changing business needs, seize new opportunities, and fuel growth from within.”

Chief Executive Officer at AMS, Gordon Stuart, says:

“This research paper captures the urgency and scale of the AI revolution which is transforming TA. It doesn’t just reflect what’s happening now, it helps us understand what’s next. Candidates want speed, clarity, and connection. Recruiters need tools that free them to focus on strategy and relationships. And businesses must rethink how talent acquisition fits into their broader growth agenda. AI is not just automating tasks, it’s redefining roles, workflows, and expectations across the board. The cumulative power of people, process, data and technology is heralding a new era for talent acquisition.”

Global industry analyst and Josh Bersin Company CEO, Josh Bersin, says:

“AI is expected to provide CHROs with a data-rich view of talent comparable to an integrated supply chain, enabling them to track and analyze every detail of each hire with the same precision a luxury Swiss watchmaker applies to every component and its origin.

“This transition transforms HR from handcrafted processes to precision, dynamic hiring—something once unattainable without AI.

“The implications are significant for all stakeholders, particularly CEOs. Organizations that lacked a precision hiring process have historically faced millions in lost revenue, high turnover, and misaligned talent—but those days are now coming to an end.”

This new research follows previous Josh Bersin Company findings demonstrating how AI is transforming another core HR function: Learning & Development.

The Josh Bersin Company’s Galileo Suite delivers both strategic guidance and hands-on tools through its AI Agent for HR, as well as hyper-personalized learning through the exclusive Galileo Learn certificate course, AI-First TA Transformation. The full report is available to download here.

About AMS
AMS is a leading global provider of talent acquisition and consulting services, providing unrivalled experience, driven by technology and underpinned by innovation. We help our clients to attract, engage and retain the talent they need for business success.

We have three core areas of service: acquisition, advisory and digital, mainly delivered as an outsourced model, and spanning our clients’ permanent and contingent workforce, and internal mobility requirements.

Our dedicated teams of experts are deeply embedded with our global blue-chip clients, enhancing talent acquisition processes and driving projects which align with overall strategic objectives. This relationship-driven approach is supporting our clients to redefine how they hire and retain top talent. For more, go to www.weareams.com/

About The Josh Bersin Company

The most trusted human capital advisors in the world. More than a million HR and business leaders rely on us to help them overcome their greatest people challenges.

Thanks to our understanding of workplace issues, informed by the largest and most up-to-date data sets on workers and employees, we give leaders the confidence to make decisions in line with the latest thinking and evidence about work and the workplace. We’re great listeners, too. There’s no one like us, who understands this area so comprehensively and without bias.

Our offerings include the industry’s leading AI-powered HR expert assistant, Galileo®, fueled by 25 years of in-depth Josh Bersin Company research, case studies, benchmarks, and market information.

We help CHROs and CEOs be better at delivering their business goals. We do that by helping you to manage people better. We are enablers at our core. We provide strategic advice and counsel supported by in-depth research, thought leadership, and unrivaled professional development, community, and networking opportunities.

We empower our clients to run their businesses better. And we empower the market by identifying results-driven practices that make work better for every person on the planet.

Cision
Cision

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How AI-trained robots are helping to root out fake paintings tied to a notorious forgery case – The Art Newspaper

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Artificial intelligence (AI) is often criticised for ripping off artists, but the technology is now being used to combat fake copies of works by the Canadian artist Norval Morrisseau (1932-2007) that have flooded the market over the past two decades.

More than 6,000 pieces were produced and fraudulently sold as authentic works by the Ojibwe artist to collectors worldwide, with financial losses estimated to exceed C$100m ($72.5m). The trial of Jeffrey Cowan, the last of the suspected fraudsters in the tangled web of Morrisseau forgery rings, began this week. Two other men who pleaded guilty to participating in what the Ontario Provincial Police described as “the biggest art fraud in world history”, were each given a conditional sentence of two years less a day in August and September.

In a unique case of fighting fakes with fakes, the Montreal-based start-up Acrylic Robotics announced in July that, in partnership with the Norval Morrisseau Estate, its robots will reproduce five Morrisseau paintings and make the copies available for purchase.

Norval AI

“We have created our own artificial intelligence called Norval AI to help determine the probability of an authentic Norval Morrisseau painting,” Cory Dingle, the Morrisseau estate’s executive director, tells The Art Newspaper. “It has grown to do many other functions that will help with museums seeking provenance as well as law enforcement—such as catching the person who painted the fraudulent work.”

The idea of developing an AI authenticator began in 2023, when Dingle met Stephan Heblich, an economics professor at the University of Toronto, and Clément Gorin, an associate professor at the Université Paris 1 Panthéon-Sorbonne.

“Clément and I were just two art-loving economics professors who are using the latest deep learning and visual recognition techniques to analyse paintings,” Heblich says. “We thought we could help restore Norval’s legacy, so we reached out to Cory and created Norval AI.”

A year later, Dingle met Chloë Ryan, the founder and chief executive of Acrylic Robotics. The artist-turned-engineer had developed technology that allows robots to paint works in the style of individual artists.

Better fakes

“We needed better replicas to test our artificial intelligence programme—the existing fake paintings were so terrible,” Dingle says. “So we collaborated with Acrylic Robotics and helped train their robot to paint more realistic fake paintings.” He adds: “They want to produce very accurate reproductions and our Norval AI tells their robot where it is doing a bad job. They use our data to make the robot do a better job, which makes those better replicas train our Norval AI even better.”

Last year, the Norval Morrisseau Family Foundation helped Acrylic Robotics produce a very accurate replica of one of Morrisseau’s original paintings. This in turn was run through the Norval AI programme and the results were shared with Acrylic Robotics to help improve its replicas.

The resulting works produced by Acrylic Robotics include limited editions of five paintings, including Morrisseau’s In Honour of Native Motherhood (1990), which was inspired by the murdered and missing Indigenous women in Canada, and Punk Rockers (around 1991), in which Morrisseau fused traditional Anishinaabe iconography with contemporary idioms.

Marked as replicas

Prices for the Acrylic Robotics works range from C$3,240 to C$45,000. To avoid further fraud, several techniques have been applied to ensure the works are easily identifiable as replicas, including a mark on the back of the canvas.

According to an Acrylic Robotics spokesperson, the company hopes to investigate whether, with the support of Norval AI, its robots may be able to complete some of Morrisseau’s many unfinished or damaged works.

“What’s exciting here, even beyond the technology,” Ryan says, “is the opportunity to push the boundaries of what has been possible, make art history and reclaim a legacy.”



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