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Artificial Intelligence (AI) Chips Market size is set to grow by USD 389.25 billion from 2024-2028, Increasing adoption of AI chips in data centers to boost the market growth, Technavio

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NEW YORK, July 9, 2024 /PRNewswire/ — The global artificial intelligence (AI) chips market is estimated to grow by USD 389.25 billion from 2024-2028, at a CAGR of over 68.13%, according to Technavio. Increasing adoption of AI chips in data centers and the convergence of AI and IoT are driving market growth. However, a dearth of technically skilled workers poses a challenge. Key players include Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., and NVIDIA Corp., the leader in the AI chip market.

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Product (ASICs, GPUs, CPUs, and FPGAs), End-user (Media and advertising, BFSI, IT and telecommunication, and Others), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc.

Key Market Trends Fueling Growth

The Internet of Things (IoT) market is experiencing significant growth due to the numerous advantages it offers in various industries, including aerospace and defense, automotive, consumer electronics, healthcare, and others. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and more, are increasingly integrating Human-Machine Interface (HMI) technologies. This integration leads to the deployment of Artificial Intelligence (AI) chips in IoT devices, enabling power-efficient data processing and machine learning computation. The demand for IoT devices is escalating due to the focus on smart city projects and automation in homes and enterprises. Market players are collaborating to develop software and hardware solutions to integrate AI technology in IoT devices, driving the growth of the AI chips market in the forecast period. 

Artificial Intelligence (AI) chips are making waves in various industries by powering innovative applications in personalized health and treatment devices for the elderly population. Machine Learning (ML) and Deep Learning (DL) are driving this trend, with computer vision technologies like pose detection and behavioral pattern recognition becoming increasingly important. Structured data from IoT devices, Industry 4.0 manufacturing, wearable devices, smart homes, and connected cars are fueling this growth. AI chips are being integrated into processors, GPUs, FPGAs, CPUs, ASICs, DSPs, microcontrollers, and programmable logic chips to handle the demands of AI applications. These chips enable high-quality images, animations, and videos in mobile phones, embedded systems, personal computers, gaming consoles, and more. The theoretical and algorithmic basis of AI is being transformed by automatic analysis, extraction, and estimation of single images and sequences of images. 

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Market Challenges

The AI chips market is witnessing significant growth due to the potential revenue benefits that companies can derive from investing in artificial intelligence. However, the implementation of AI comes with challenges, particularly the shortage of skilled workers with expertise in AI technology. This talent gap poses a major obstacle for enterprises seeking to integrate AI into their operations. The high R&D costs associated with AI and the lack of available talent are hindering the growth of the market. To overcome this hurdle, organizations must prioritize talent acquisition and retention, recruiting professionals with strong technical backgrounds and investing in skill development programs. The shortage of AI engineers and technicians is hindering the deployment of AI in enterprises, thereby limiting market growth during the forecast period.The Artificial Intelligence (AI) Chips Market is experiencing significant growth due to the increasing demand for energy-efficient solutions for AI applications in various industries such as healthcare, retail, finance, automotive, and IoT devices. Companies like Nvidia and Huawei are leading the market with their AI chip lines, including the Nvidia A100 chip and Huawei Ascend 910B chipset. However, challenges such as energy efficiency, latency, and ethical concerns remain. Centralized cloud servers from Microsoft Azure, Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure offer high computing power but face challenges with real-time applications and big data processing. Edge computing and Edge devices are gaining popularity for their ability to process data locally, reducing latency and improving performance. Patent filing and system failure are also concerns for companies investing in AI chips. Specific integrated circuits like CPU, FPGA, GPU, and system on chip, multichip module, and high computing parallel computing are essential for AI data centers, cognitive computing, machine intelligence, image recognition, and other AI applications. Ethical concerns around AI use in mobile applications, health monitoring, and health information access are becoming increasingly important. The market for AI chips is expected to continue growing, with continued innovation and investment in this area.

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Segment Overview 

This artificial intelligence (AI) chips market report extensively covers market segmentation by

Product 1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user 2.1 Media and advertising2.2 BFSI2.3 IT and Telecommunication2.4 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 ASICs-  Artificial Intelligence (AI) chips, specifically Application-Specific Integrated Circuits (ASICs), are driving innovation in the tech industry. ASICs are customized, non-configurable chips that offer faster performance than GPUs and FPGAs for parallel algorithms. Their use in cloud-based data centers is increasing, as ASIC-based AI chips, like Google’s Tensor Processing Unit (TPU), provide superior speed and efficiency. TPUs, a network of software and hardware, are designed for deep neural networks and can learn specific tasks with large data sets. Data centers are integrating these ASICs into servers to manage data effectively. TPUs have an instruction set that allows TensorFlow programs to be modified, enabling new algorithms to be developed. As an open-source machine learning library, TensorFlow’s data flow graph structure simplifies complex computations, making ASICs a preferred choice for AI applications. The market for ASIC-based AI chips is expected to grow significantly due to their performance advantages.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022)  – Download a Sample Report

Research Analysis

Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing adoption of AI technologies in various industries. Deep learning and machine learning algorithms require specialized hardware components, leading to the development of AI chips. These chips are designed to accelerate AI workloads and improve the performance of AI applications. AI chips include specific integrated circuits like CPUs, GPUs, FPGAs, and system on chips. Quantum computing is also emerging as a potential technology to enhance AI capabilities. The market for AI chips is expanding across sectors such as healthcare, retail, finance, automotive, autonomous vehicles, IoT devices, and more. However, ethical concerns surrounding AI and its impact on jobs are raising questions about the future of this technology. High bandwidth memory and Trainium2 chip are some of the advanced hardware components driving the market. The market is segmented into cloud and edge computing, with the edge computing segment expected to grow due to the increasing demand for real-time AI processing.

Market Research Overview

Artificial Intelligence (AI) Chips Market: An Overview The AI Chips Market is witnessing significant growth due to the increasing demand for advanced AI technologies, such as deep learning and machine learning, in various industries. AI chips are specialized hardware components designed to accelerate AI algorithms and technologies, including neural networks, quantum computing, and cognitive computing. These chips are essential for powering AI applications in robotics, computer vision, natural language processing, and generative AI. The market for AI chips includes a range of hardware components, such as CPUs, GPUs, FPGAs, and system on chips, each with unique advantages in terms of energy efficiency, parallel computing, and high computing power. Major applications of AI chips include data processing in centralized cloud servers and edge devices, real-time applications, big data analysis, and AI applications in healthcare, retail, finance, automotive, and IoT devices. Ethical concerns surrounding AI technologies and potential system failures or malfunctioning are also driving the development of more energy-efficient and reliable AI chips. Some of the emerging trends in the AI Chips Market include the development of AI chip lines, such as Nvidia’s A100 chip and Ascend 910B chipset, and H200 chipset, as well as the integration of high bandwidth memory and quantum computing technologies. The market is also witnessing the growth of edge computing and the increasing use of AI in industries such as manufacturing, wearable devices, smart homes, and connected cars. In conclusion, the AI Chips Market is a dynamic and rapidly evolving field, driven by the increasing demand for AI technologies in various industries and the need for more energy-efficient and reliable hardware components. The market is expected to continue growing in the coming years, with new innovations and applications emerging in areas such as healthcare, finance, and autonomous vehicles.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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Vertical IQ Will Expand Industry Intelligence Platform with Small Business Financial Exchange (SBFE) Small Business Credit Data

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RALEIGH, N.C., Oct. 27, 2026 /PRNewswire/ — Small Business Financial Exchange (SBFE), the trusted source for small business lending data and Vertical IQ, a nationally recognized provider of Industry Intelligence, today announced their partnership. Through the partnership, Vertical IQ will incorporate SBFE small business credit insights into its platform, providing financial institutions with deeper context to support commercial lending decisions.

The collaboration enables banks, credit unions, and other commercial lenders using Vertical IQ to gain access to SBFE small business credit insights within the Industry Intelligence platform. Default rates, delinquencies, and credit trends by industries are just a few of the SBFE features that will be included. These insights allow financial services professionals to better understand small business borrowers and support key commercial lending activities.

“At SBFE, we’re committed to helping lenders better understand and support small businesses. Extending access to SBFE insights through Vertical IQ is another way we can deliver value to the lending community and support greater access to capital.”

     – Elisabeth MacDonald, President and CEO, SBFE

“At Vertical IQ, we believe financial institutions make their best decisions when they have access to trusted, Verified Industry Intelligence powered by the highest-quality data available,” said Bobby Martin, co-founder and CEO of Vertical IQ. “Our partnership with SBFE represents another important step in that commitment by bringing highly respected small business credit insights into our platform. By combining SBFE’s credit data with Vertical IQ’s industry expertise, we’re helping lenders gain deeper context to strengthen credit analysis, improve risk assessment, and make more confident decisions throughout the commercial lending lifecycle.”

     – Bobby Martin, Co-founder and CEO, Vertical IQ

About SBFE

SBFE is the trusted data exchange where the small business lending industry comes together to strengthen access to capital for America’s small businesses. For more than 25 years, SBFE has united lenders in a member-driven community built on trust, collaboration, and the responsible use of data. Today, SBFE securely manages one of the nation’s largest repositories of small business credit data, contributed by more than 140 member institutions, including many of the country’s largest commercial banks. This data enables highly predictive credit reporting and portfolio management solutions that help lenders make more informed decisions, manage risk, and support the financial health and growth of small businesses. By transforming shared data into trusted lending intelligence, SBFE helps its members strengthen credit decisioning and promote greater access to capital. Learn more at www.SBFE.org

About Vertical IQ

Headquartered in Raleigh, North Carolina, Vertical IQ is a nationally recognized provider of Industry Intelligence. Whether discussing cash management with a local brewery or evaluating risk for a large manufacturing company, successful banks, credit unions, accounting firms, insurance organizations, and advisory firms use Vertical IQ to better understand a prospect’s or client’s business challenges before, during, and after meetings. Covering 100% of the industries that comprise the U.S. and Canadian economies, as well as more than 3,400 local economic reports, Vertical IQ equips professionals with the confidence and credibility to build stronger client relationships and make more informed decisions. Learn more at www.verticaliq.com

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SOURCE SBFE

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CME Group Brazilian Real Futures Set New Daily Volume Record Following Election

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Record $9 billion notional traded, eleven times the year-to-date average daily volume (ADV) as market participants turned to CME Group to manage risk around the clock

CHICAGO, Oct. 27, 2026 /PRNewswire/ — CME Group, the world’s leading derivatives marketplace, today announced that its Brazilian real (BRL) futures reached a new daily volume record of 498,498 contracts (R$49.8 billion, ~$9.2 billion notional value) on October 26, surpassing the previous record of 191,325 contracts (~$3.7 billion notional value) traded on September 28, 2026.

“Following the results of the Brazilian presidential election, clients turned to our BRL futures market to immediately manage their risk outside of Brazilian trading hours, driving all-time record volume,” said Paul Houston, Global Head of FX Products, CME Group. “Even before the onshore market opened, $2.5 billion in notional value had already traded, roughly three times the year-to-date ADV for BRL futures. With liquidity in all timezones and contracts denominated in USD, our markets are fast becoming the main venue for Brazilian real price discovery and trading outside of onshore hours, giving global participants the liquidity they need around the clock.”

In the first half of 2026, Mexican peso and Brazilian real futures and options saw a record combined average daily volume of $2.94 billion.

For more information on CME Group BRL futures, please visit https://www.cmegroup.com/articles/faqs/latam-fx-futures-frequently-asked-questions.html

As the world’s leading derivatives marketplace, CME Group (www.cmegroup.com) enables clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes, foreign exchange, cryptocurrencies, energy, agricultural products and metals.  The company offers futures and options on futures trading through the CME Globex platform, fixed income trading via BrokerTec and foreign exchange trading on the EBS platform.  In addition, it operates one of the world’s leading central counterparty clearing providers, CME Clearing. 

CME Group, the Globe logo, CME, Chicago Mercantile Exchange, Globex, and E-mini are trademarks of Chicago Mercantile Exchange Inc.  CBOT and Chicago Board of Trade are trademarks of Board of Trade of the City of Chicago, Inc.  NYMEX, New York Mercantile Exchange and ClearPort are trademarks of New York Mercantile Exchange, Inc.  COMEX is a trademark of Commodity Exchange, Inc. BrokerTec is a trademark of BrokerTec Americas LLC and EBS is a trademark of EBS Group LTD. The S&P 500 Index is a product of S&P Dow Jones Indices LLC (“S&P DJI”). “S&P®”, “S&P 500®”, “SPY®”, “SPX®”, US 500 and The 500 are trademarks of Standard & Poor’s Financial Services LLC; Dow Jones®, DJIA® and Dow Jones Industrial Average are service and/or trademarks of Dow Jones Trademark Holdings LLC. These trademarks have been licensed for use by Chicago Mercantile Exchange Inc. Futures contracts based on the S&P 500 Index are not sponsored, endorsed, marketed, or promoted by S&P DJI, and S&P DJI makes no representation regarding the advisability of investing in such products. All other trademarks are the property of their respective owners. 

CME-G 

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Vera Health Quietly Became One of the World’s Most Used Clinical Tools. Now It Has Raised $32 Million to Give Every Clinician in the World the Best Medical Knowledge in Seconds

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With a team of just 12 employees, the clinical AI company has grown largely through physician referrals, bringing total funding to $32 million

More than 800,000 clinicians across 190 countries use Vera Health, including approximately 1 in 4 physicians in Spain and Italy, with most discovering the platform through recommendations from colleagues.Threshold Ventures led Vera Health’s $28.5 million Series A, with participation from Mantis VC and SV Angel. Existing investors Y Combinator and Gradient tripled down, bringing total funding to $32 million.The investment will accelerate Vera Health’s evidence-focused clinical AI platform, expanding its ability to make global medical knowledge locally relevant and deepening partnerships with medical societies, publishers and health systems.

SAN FRANCISCO, Oct. 27, 2026 /PRNewswire/ — A year ago, a few thousand clinicians were using Vera Health. Today, more than 800,000 are, most having discovered the platform through a colleague. Every month since June, Vera has been the most downloaded clinical app in the world across the App Store and Google Play.¹ In September alone, it was downloaded more times than OpenEvidence and Doximity combined, while monthly downloads had more than tripled since February. With a team of just 12 employees, Vera has reached clinicians in 190 countries, including approximately 1 in 4 physicians in Spain and Italy, largely through word of mouth. Vera Health is a clinical AI search engine that reasons like a clinician, helping physicians find and evaluate medical evidence in seconds.

Today, Vera Health announced a $28.5 million Series A led by Threshold Ventures, with participation from Mantis VC and SV Angel. Existing investors Y Combinator and Gradient, tripled down in the round, bringing the company’s total funding to $32 million. The investment will accelerate Vera Health’s mission to close the gap between what medicine knows and what every patient receives.

Only a few months after raising its Series A, Vera already has more daily active users than it had monthly active users at the time of the raise. Clinicians went from asking Vera a few thousand questions a day to asking hundreds of thousands, every single day.

“Clinicians are the best data scientists I’ve ever met. They make the call in seconds, with more evidence than any human could ever read,” said Taieb Bennani, Co-Founder of Vera Health. “The secret to building for them is to live and breathe the problem like no one else. Everyone on our team is a clinician, or the child or sibling of one, like Maxime and me. That passion translates into every detail of the product, and when you build with that kind of obsession, the product speaks for itself, and clinicians share it with their colleagues. We don’t have the biggest team or the most money. We have the people who care the most about getting it right.”

How does Vera Health differ from general-purpose AI tools?
Clinical AI is increasingly being used to help physicians navigate complex medical questions, but the ability to generate an accurate-sounding answer does not necessarily establish whether the underlying research is reliable. Medicine now publishes a new scientific paper roughly every 20 seconds. Chatbots are built to sound confident. Vera is built to be accurate, and honest when the evidence is thin. Physicians are expected to keep up with an expanding body of research while interpreting guidelines, evaluating treatment options and making decisions for individual patients, sometimes within seconds.

Vera Health finds the evidence first, then writes the answer. Its technology searches more than 60 million peer-reviewed publications, clinical guidelines, consensus statements and drug labels, evaluating sources based on study design, level of evidence, cohort size, recency, journal quality and citation impact. Every claim is linked to its supporting research and color-coded to show the strength of the available evidence. Sometimes that color is red. A rare condition may have no large randomized trial or comprehensive guideline behind it, leaving only a small case series or a report involving a single patient. Vera Health surfaces that research while making its limitations visible, allowing physicians to assess how much weight the findings deserve.

“Medical knowledge moves too quickly for any one clinician to read, and general-purpose AI tools can make uncertain evidence sound settled,” said Maxime Allouch, co-founder, Vera Health. “Unlike other tools, we believe there’s value in making uncertainty visible. The grade shapes what Vera retrieves and writes, while the clinician brings the patient, the context and the judgment.”

Vera Health developed its approach alongside physicians who evaluate medical evidence and help write the guidelines other clinicians follow. Through its partnership with the American College of Emergency Physicians (ACEP), the platform integrates ACEP clinical policies with source attribution, bringing medical society guidance directly into clinical research workflows.

“In medicine, not all evidence is equal,” said Scott M. Silvers, MD, FACEP, Chair of the American College of Emergency Physicians’ Clinical Policies Committee and former Chair of Emergency Medicine at Mayo Clinic. “A large, randomized trial and a case report should never carry the same weight, yet most AI tools blend them into the same confident answer. Level of evidence is the foundation of every guideline we write, and Vera Health is built on it.”

For Dr. Bernard P. Chang, Vera Health’s Chief Scientific Advisor and Vice Chair of Research in the Department of Emergency Medicine at Columbia University, the importance of clinical evidence extends to how physicians evaluate patients.

“On a recent emergency-department shift, I saw a young woman with cough and shortness of breath. The symptoms could easily be attributed to a routine respiratory illness,” said Chang. “Vera Health surfaced evidence that raised my concern for pulmonary embolism, a potentially life-threatening blood clot in the lungs, and led me to broaden my evaluation. What interests me isn’t AI simply providing an answer. It’s whether it can reliably surface evidence that challenges our initial assumptions and improves clinical reasoning. That’s what we’re now evaluating rigorously, inside the academic medical centers where medicine is actually practiced.”

Vera Health’s clinical advisors also include Christopher Baugh, MD, MBA, FACEP, Vice Chair of Clinical Affairs in Emergency Medicine at Brigham and Women’s Hospital and Associate Professor of Emergency Medicine at Harvard Medical School. Its clinical council includes physician leaders affiliated with Mayo Clinic, Yale, Harvard, Columbia and Penn.

Why is Vera Health growing so quickly across international markets?
Bennani and Allouch grew up in families of physicians and initially developed Vera Health for their own fathers. What began with two users has since grown into a platform serving hundreds of thousands of clinicians, with physicians asking hundreds of thousands of questions each day. The company’s international growth reflects an approach built around a central reality of medicine. Medical knowledge is global, but clinical practice is local.

An emergency physician in France may follow different treatment guidelines than a physician in the United States. An oncologist reviewing a complex case may need an exhaustive evaluation of the available research, while an emergency physician needs a concise answer within seconds. Even physicians practicing the same specialty may follow different protocols depending on their institution.

Vera Health accounts for those differences by prioritizing locally relevant guidance while drawing on medical research from around the world. Through Vera Spaces, health systems can also integrate their own clinical protocols and pathways alongside national guidelines and international medical literature.

“Medicine is global, yet most tools in our space were built for a single geography,” said Allouch. “We went international from day one, because only a global view reveals what is truly local.”

The approach has helped Vera Health expand across Europe, where approximately 1 in 4 physicians in Spain and Italy and 1 in 7 in France use the platform, according to company data. Vera Health has achieved that international reach with a small team and a product that clinicians have largely discovered through their peers.

What will Vera Health’s Series A funding support next?
The financing will support further development of Vera Health’s clinical evidence infrastructure, expansion into additional healthcare markets and deeper partnerships with medical societies, publishers and health systems. The company will continue investing in locally relevant clinical guidance and tools that allow healthcare institutions to incorporate their own medical knowledge into the platform.

“In healthcare, trust is earned, not bought. Vera’s adoption among clinicians worldwide speaks to what Taieb and Maxime have built. By combining the most rigorous medical evidence with an understanding of each physician’s specialty, protocols and practice context, Vera makes the world’s medical knowledge relevant to how care is actually delivered. We believe that creates an enormous opportunity to improve global health,” said Andrew Brackin, Partner at Gradient.

“Vera is compelling because it starts with the evidence, not just an answer—helping clinicians find and assess the research behind a decision while making its strengths and limitations visible. By bringing that evidence to the point of care, Vera becomes a trusted clinical intelligence layer, not just another AI tool,” said Emily Melton, co-founder and managing partner of Threshold Ventures.

Vera Health will remain free for licensed clinicians and medical trainees worldwide as it expands access to medical evidence and locally relevant clinical guidance.

New medical knowledge takes an estimated 17 years to reach routine clinical practice, according to research published in the Journal of the Royal Society of Medicine. Vera Health aims to reduce the time physicians spend searching for and evaluating that knowledge, bringing relevant evidence closer to the moment clinical decisions are made.

“Our mission is to close the gap between what medicine knows and what every patient receives,” said Bennani. “Today, that gap is measured in years. We want it measured in seconds.”

About Vera Health
Vera Health is the search engine that reasons like a clinician, finding and grading evidence before showing the source, strength and limits behind every answer. More than 800,000 clinicians in 190 countries use Vera, which is free for licensed clinicians and trainees, never trains on clinicians’ questions, and is HIPAA and GDPR compliant and SOC 2 Type II certified. Founded in 2024 at Y Combinator by MIT graduates and sons of physicians Taieb Bennani and Maxime Allouch, Vera is headquartered in San Francisco and backed by Threshold Ventures, Gradient, Y Combinator, SV Angel and Mantis VC.

Learn more at verahealth.ai.

¹ Download data: Appark, worldwide App Store and Google Play downloads, June through [September] 2026.

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