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IDTechEx: The Age of Artificial Intelligence – AI Chips to 2034

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BOSTON, Jan. 29, 2024 /PRNewswire/ — Artificial Intelligence is transforming the world as we know it; from the success of DeepMind over Go world champion Lee Sedol in 2016 to the robust predictive abilities of OpenAI’s ChatGPT, the complexity of AI training algorithms is growing at a startlingly fast pace, where the amount of compute necessary to run newly-developed training algorithms appears to be doubling roughly every four months. In order to keep pace with this growth, hardware for AI applications is needed that is not just scalable – allowing for longevity as new algorithms are introduced while keeping operational overheads low – but is also able to handle increasingly complex models at a point close to the end-user.

 
Drawing from the “AI Chips: 2023–2033” and “AI Chips for Edge Applications 2024–2034: Artificial Intelligence at the Edge” reports, IDTechEx predicts that the growth of AI, both for training and inference within the cloud and inference at the edge, is due to continue unabated over the next ten years, as our world and the devices that inhabit them become increasingly automated and interconnected.
The why and what of AI chips
The notion of designing hardware to fulfill a certain function, particularly if that function is to accelerate certain types of computations by taking control of them away from the main (host) processor, is not a new one; the early days of computing saw CPUs (Central Processing Units) paired with mathematical coprocessors, known as Floating-Point Units (FPUs). The purpose was to offload complex floating point mathematical operations from the CPU to this special-purpose chip, as the latter could handle computations more efficiently, thereby freeing the CPU up to focus on other things.
As markets and technology developed, so too did workloads, and so new pieces of hardware were needed to handle these workloads. A particularly noteworthy example of one of these specialized workloads is the production of computer graphics, where the accelerator in question has become something of a household name: the Graphics Processing Unit (GPU).
Just as computer graphics required the need for a different type of chip architecture, the emergence of machine learning has brought about a demand for another type of accelerator, one that is capable of efficiently handling machine learning workloads. Machine learning is the process by which computer programs utilize data to make predictions based on a model and then optimize the model to better fit with the data provided, by adjusting the weightings used. Computation, therefore, involves two steps: Training and Inference.
The first stage of implementing an AI algorithm is the training stage, where data is fed into the model, and the model adjusts its weights until it fits appropriately with the provided data. The second stage is the inference stage, where the trained AI algorithm is executed, and new data (not provided in the training stage) is classified in a manner consistent with the acquired data.
Of the two stages, the training stage is more computationally intense, given that this stage involves performing the same computation millions of times (the training for some leading AI algorithms can take days to complete). As such, training takes place within cloud computing environments (i.e. data centers), where a large number of chips are used that can perform the type of parallel processing required for efficient algorithm training (CPUs process tasks in a serialized manner, where one execution thread starts once the previous execution thread has finished. In order to minimize latency, large and numerous memory caches are utilized so that most of the execution thread’s running time is dedicated to processing. By comparison, parallel processing involves multiple calculations occurring simultaneously, where lightweight execution threads are overlapped such that latency is effectively masked. Being able to compartmentalize and carry out multiple calculations simultaneously is a major benefit for training AI algorithms, as well as in many instances of inference). By contrast, the inference stage can take place within both cloud and edge computing environments. The aforementioned reports detail the differences between CPU, GPU, Field Programmable Gate Array (FPGA) and Application-Specific Integrated Circuit (ASIC) architectures, and their relative effectiveness in handling machine learning workloads.
Within the cloud computing environment, GPUs currently dominate and are predicted to continue to do so over the next ten-year period, given Nvidia’s dominance in the AI training space. For AI at the edge, ASICs are preferred, given that chips are more commonly designed with specific problems in mind (such as for object detection within security camera systems, for example). As the below graph shows, Digital Signal Processors (DSPs) also account for a significant share of AI coprocessing at the edge, though it should be noted that this large figure is primarily due to Qualcomm’s Hexagon Tensor Processor (which is found in their modern Snapdragon products) being a DSP. Should Qualcomm redesign the HTP such that it strays from being a DSP, then the forecast would heavily skew in favour of ASICs.
AI as a driver for semiconductor manufacture
Chips for AI training are typically manufactured at the most leading-edge nodes (where nodes refer to the transistor technology used in semiconductor chip manufacture), given how computationally intensive the training stage of implementing an AI algorithm is. Intel, Samsung, and TSMC are the only companies that can produce 5 nm node chips. Out of these, TSMC is the furthest along with securing orders for 3 nm chips. TSMC has a global market share for semiconductor production that is currently hovering at around 60%. For the more advanced nodes, this is closer to 90%. Of TSMC’s six 12-inch fabs and six 8-inch fabs, only two are in China, and one is in the USA. The rest are in Taiwan. The semiconductor manufacture part of the global supply chain is therefore heavily concentrated in the APAC region, principally Taiwan.
Such a concentration comes with a great deal of risk should this part of the supply chain be threatened in some way. This is precisely what occurred in 2020 when a number of complementing factors (discussed further in the “AI Chips: 2023 – 2033” report) led to a global chip shortage. Since then, the largest stakeholders (excluding Taiwan) in the semiconductor value chain (the US, the EU, South Korea, Japan, and China) have sought to reduce their exposure to a manufacturing deficit, should another set of circumstances arise that results in an even more exacerbated chip shortage. This is shown by the government funding announced by these major stakeholders in the wake of the global chip shortage, represented below.
These government initiatives aim to spur additional private investment through the lure of tax breaks and part-funding in the way of grants and loans. While many of the private investments displayed pictorially below were made prior to the announcement of such government initiatives, other additional and/or new private investments have been announced in the wake of them, spurred on as they are by the incentives offered through these initiatives.
A major reason for these government initiatives and additional private spending is the potential of realizing advanced technology, of which AI can be considered. The manufacture of advanced semiconductor chips fuels national/regional AI capabilities, where the possibility for autonomous detection and analysis of objects, images, and speech are so significant to the efficacy of certain products (such as autonomous vehicles and industrial robots) and to models of national governance and security, that the development of AI hardware and software has now become a primary concern for government bodies that wish to be at the forefront of technological innovation and deployment.
Growth of AI chips over the next decade
Revenue generated from the sale of AI chips (including the sale of physical chips and the rental of chips via cloud services) is expected to rise to just shy of USD$300 billion by 2034, at a compound annual growth rate of 22% from 2024 to 2034. This revenue figure incorporates the use of chips for the acceleration of machine learning workloads at the edge of the network, for telecom edge, and within data centers in the cloud. As of 2024, chips for inference purposes (both at the edge and within the cloud) comprise 63% of revenue generated, with this share growing to more than two-thirds of the total revenue by 2034.
This is in large part due to significant growth at the edge and telecom edge, as AI capabilities are harnessed closer to the end-user. In terms of industry vertical, IT & Telecoms is expected to lead the way for AI chip usage over the next decade, with Banking, Financial Services & Insurance (BFSI) close behind, and Consumer Electronics behind that. Of these, the Consumer Electronics industry vertical is to generate the most revenue at the edge, given the further rollout of AI into consumer products for the home. More information regarding industry vertical breakout can be found in the relevant AI reports.
For more information regarding key trends and market segmentations with regards AI chips over the next ten years, please refer to the two reports: “AI Chips: 2023–2033” and “AI Chips for Edge Applications 2024–2034: Artificial Intelligence at the Edge”.
The “AI Chips: 2023–2033” report covers the global AI Chips market across eight industry verticals, with 10-year granular forecasts in seven different categories (such as by geography, by chip architecture, and by application). In addition to the revenue forecasts for AI chips, costs at each stage of the supply chain (design, manufacture, assembly, test & packaging, and operation) are quantified for a leading-edge AI chip. Rigorous calculations are provided, along with a customizable template for customer use, and analyses of comparative costs between leading and trailing edge node chips.
The “AI Chips for Edge Applications 2024–2034: Artificial Intelligence at the Edge” report gives analysis pertaining to the key drivers for revenue growth in edge AI chips over the forecast period, with deployment within the key industry verticals – consumer electronics, industrial automation, and automotive – reviewed. More generally, the report covers the global edge AI Chips market across six industry verticals, with 10-year granular forecasts in six different categories (such as by geography, by chip architecture, and by application).
IDTechEx also offers expert-led data and analysis on these and other related topics through a market intelligence subscription – find out more at www.IDTechEx.com/Subscriptions.
This article is from “Technology Innovations Outlook 2024-2034”, a complimentary magazine of analyst-written articles by IDTechEx providing insights into a number of areas of technology innovation, assessing the landscape now and giving you the outlook for the next decade. You can read the magazine in full at www.IDTechEx.com/Magazine.
About IDTechEx
IDTechEx guides your strategic business decisions through its Research, Subscription and Consultancy products, helping you profit from emerging technologies. For more information, contact [email protected] or visit www.IDTechEx.com.
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Media Contact:
Lucy RogersSales and Marketing [email protected] +44(0)1223 812300
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Complyport’s new AI tool – ViCA.Chat – set to revolutionise compliance support services

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LONDON, June 14, 2024 /PRNewswire/ — ViCA.Chat, the Virtual Compliance Assistant powered by AI technology, is set to transform regulatory compliance consulting. Developed by ComplyMAP Group’s AI engineers and Complyport’s compliance consulting teams, ViCA redefines compliance support services and propels governance, risk and compliance consulting into a new era of innovation. 

Offering real-time assistance across a vast array of UK and EU regulatory frameworks, ViCA delivers unparalleled efficiency, detail and precision in disentangling and dealing with complicated regulatory frameworks.
The key differentiator of ViCA is its specialised and purposely constructed unique databases that leverage Complyport’s 22 years of regulatory expertise, combined with tailored AI training tools, enabling ViCA to operate as an experienced compliance consultant. A dedicated human support team continuously improves and updates ViCA’s knowledge and responses through a feedback loop process and quality assurance sessions. This powerful symbiosis of AI and human expertise sets ViCA apart and ensures businesses have the latest regulatory information instantaneously and seamlessly.
As a result, ViCA’s specialised regulatory database goes beyond readily available online resources which feature into traditional AI tools. ViCA offers exclusive insights, proprietary regulatory interpretations, historical data, bespoke and purposely structured compliance documentation and templates. With advanced scraping capabilities, ViCA also extracts relevant data from selected websites and publicly available information, ensuring an up-to-date and comprehensive understanding of compliance requirements across industries.
From agile fintech startups to established law firms, financial institutions, regulatory bodies, insurance providers, as well as compliance consultants, ViCA seamlessly adapts to unique compliance needs. Its user-friendly interface ensures navigating and analysing regulatory data is swift and intuitive, streamlining the compliance workflow.
“ViCA is a game-changer in how regulatory compliance advice will be provided in the future”, commented Luis Parra, Managing Director of ViCA. “With ViCA, compliance insights become available to all. No longer are regulated firms and responsible people overly dependent on advisors and compliance consultants. Through ViCA, the financial system will not only meet but exceed regulatory standards. Moreover, the level of information made available to the public will benefit society as a whole, in its interactions with the financial services sector.”
Among ViCA’s revolutionary features is its cost-effective model, allowing businesses to significantly reduce reliance on traditional spending with external consultants and advisors.
Visit ViCA.Chat to experience the future of compliance support.
Contact:
Name: Luis ParraTitle: Managing DirectorCompany: Vica.ChatTelephone: +44 20 7399 4980 Email: [email protected]
About ViCA.Chat:
ViCA.Chat is a revolutionary Virtual Compliance Assistant powered by cutting-edge AI technology, designed to demystify the complexities of regulatory compliance. Utilising Complyport’s 22 years of regulatory expertise, ViCA offers real-time assistance and guidance across a wide range of regulatory frameworks, setting a new standard for efficiency and precision in compliance support. From fintech start-ups to established law firms, financial services institutions, regulators, regulatory firms, compliance consultants and insurance firms, ViCA caters to the diverse needs of professionals across all levels in the broader UK financial services sector.
Visit ViCA.Chat to learn more.
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LoRa and LoRaWAN IoT Market worth $32.7 billion by 2029- Exclusive Report by MarketsandMarkets™

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CHICAGO, June 14, 2024 /PRNewswire/ — The LoRa and LoRaWAN IoT Market is expected to reach USD 32.7 billion by 2029 from USD 8.0 billion in 2024, at a Compound Annual Growth Rate (CAGR) of 32.4 % during 2024–2029, according to a new report by MarketsandMarkets™.

Browse in-depth TOC on “LoRa and LoRaWAN IoT Market”
320 – Tables 58 – Figures294 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2018-2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
Value (USD Billion)
Segments Covered
Offering, Network Deployment, Application, End User, and Region
Region covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
List of Companies in LoRa and LoRaWAN IoT
The Bosch Group (Germany),  Cisco (US), Orange SA (France), Comcast Corporation (US), Semtech (US), NEC Corporation(Japan), Tata Communications (India), AWS (US), Advantech (Taiwan), SK Telecom (South Korea), Murata (Japan), Kerlink (France), Actility (France), Digi International (US), MultiTech (US), Ezurio (US), Sensoterra (Netherlands), Nwave Technologies (US), RAKwireless (China), TheThings.io (Spain), Datacake (Germany), Milesight (China), LORIOT (Switzerland), Exosite (US), Orbiwise (Switzerland), Netmore Group (Sweden), and Radio Bridge Inc (US).
The LoRaWAN ecosystem influences development of tools, software libraries, and cloud-based platforms that streamline the creation, deployment, and management of IoT solutions. Continuously evolving, this ecosystem boasts a burgeoning array of vendors providing LoRa-compliant devices, gateways, and network management solutions. This vibrant competition within the ecosystem propels innovation while driving down costs for end-users. Moreover, the development of interoperable solutions fosters seamless integration and deployment of LoRaWAN networks, simplifying the implementation process for businesses and organizations. As the ecosystem continues to expand and mature, it empowers developers, system integrators, and IoT enthusiasts to unleash their creativity, accelerate time-to-market, and unlock the full potential of LoRaWAN technology in diverse applications and industries.
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Based on network deployment, the public network segment to hold the largest market size during the forecast period.
The robust security features integrated into public LoRaWAN networks play a significant role in driving the growth and adoption of LoRaWAN technology in the market. End-to-end encryption ensures that data transmitted between devices and gateways is protected from unauthorized access or interception, safeguarding sensitive information such as sensor readings, location data, and command messages. Message integrity checks verify the integrity of data packets, detecting any tampering or alteration during transmission and ensuring data authenticity and reliability. Additionally, mutual authentication mechanisms establish trust between devices and gateways, verifying the identity of both parties before allowing communication to occur. These security measures provide organizations and end-users with confidence in the integrity and confidentiality of their data, mitigating concerns related to data privacy, cybersecurity threats, and regulatory compliance. As a result, implementing robust security features in public LoRaWAN networks enhances trust and credibility in the technology, driving increased adoption and market growth as organizations seek reliable and secure connectivity solutions for their IoT deployments.
By offering, the services segment is expected to hold a higher growth rate during the forecast period.
IoT service providers are pivotal in driving adoption by developing vertical-specific solutions finely tuned to the distinct needs of industries like agriculture, healthcare, logistics, and smart cities. In agriculture, for instance, IoT services offer solutions for precision farming, crop monitoring, and livestock management, enabling farmers to optimize irrigation, monitor soil health, and enhance yields. Similarly, IoT services facilitate remote patient monitoring, asset tracking, and inventory management in healthcare, improving patient care, reducing costs, and ensuring compliance with regulatory standards such as HIPAA. In logistics, IoT services provide real-time tracking of shipments, fleet management, and predictive maintenance, enhancing supply chain visibility, efficiency, and reliability. For smart cities, IoT services offer solutions for traffic management, waste management, energy optimization, and public safety, transforming urban infrastructure and enhancing the quality of life for residents. By addressing industry-specific challenges, compliance requirements, and use cases, vertical-specific IoT solutions deliver tangible business value, driving adoption and fueling the growth of the IoT services market across diverse sectors.
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Asia Pacific is expected to hold a higher growth rate during the forecast period.
In the Asia Pacific region, where agriculture serves as a cornerstone of many economies, adopting IoT technologies, particularly LoRa and LoRaWAN, is revolutionizing traditional farming practices. LoRaWAN’s long-range connectivity and low-power consumption make it well-suited for deployment in rural agricultural settings, where access to reliable connectivity may be limited. Through LoRa-based IoT solutions, farmers can implement precision agriculture techniques to address pressing challenges such as water scarcity, soil degradation, and unpredictable weather patterns. LoRa-enabled sensors facilitate real-time monitoring of soil moisture levels, temperature, and humidity, allowing farmers to optimize irrigation schedules and conserve water resources. Remote sensing technologies powered by LoRaWAN enable farmers to gather actionable insights on crop health, pest infestations, and nutrient deficiencies, facilitating timely interventions and improving overall crop management practices. Furthermore, LoRa-based crop analytics platforms provide farmers with data-driven decision support tools, helping them optimize planting strategies, improve yield forecasting, and mitigate the impact of climate change on agricultural productivity. By harnessing the power of LoRa and LoRaWAN IoT solutions, farmers in the Asia Pacific region can increase yields, conserve resources, and enhance resilience to environmental challenges, driving the adoption and growth of the LoRaWAN IoT market in the agricultural sector.
Top Key Companies in LoRa and LoRaWAN IoT Market:
The major vendors covered in the LoRa and LoRaWAN IoT Market are The Bosch Group (Germany),  Cisco (US), Orange SA (France), Comcast Corporation (US), Semtech (US), NEC Corporation(Japan), Tata Communications (India), AWS (US), Advantech (Taiwan), SK Telecom (South Korea), Murata (Japan), Kerlink (France), Actility (France), Digi International (US), MultiTech (US), Ezurio (US), Sensoterra (Netherlands), Nwave Technologies (US), RAKwireless (China), TheThings.io (Spain), Datacake (Germany), Milesight (China), LORIOT (Switzerland), Exosite (US), Orbiwise (Switzerland), Netmore Group (Sweden), and Radio Bridge Inc (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the LoRa and LoRaWAN IoT Market.
Browse Adjacent Markets: Digitalization and Internet of Things (IoT) Market Research Reports & Consulting
Related Reports:
Perimeter Security Market- Global Forecast to 2029
Smart Cities Market – Global Forecast to 2028
Fleet Management Market – Global Forecast to 2028
Smart Water Management Market – Global Forecast to 2028
Rail Asset Management Market – Global Forecast to 2026
Get access to the latest updates on LoRa and LoRaWAN IoT Companies and LoRa and LoRaWAN IoT Industry
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Aashish MehraMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Website: https://www.marketsandmarkets.com/
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Scoring a Seat at UEFA EURO 2024™ with Top-Performing AI-Powered TOSHIBA TV Lineup

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HONG KONG, June 14, 2024 /PRNewswire/ — Football fans are in for a treat as they gear up for UEFA EURO 2024™ with Toshiba TV’s top-performing Gaming TV Z670. As the OFFICIAL TV OF UEFA EURO 2024™, Toshiba TVs present immersive viewing of the football game by their AI-powered TV lineup. To celebrate the brilliant moments it can bring, Toshiba TV are gifting USD100 Amazon Gift Card via their social platform! By simply like, follow and comment on @ToshibaTVGlobal, fans can boost their chances of scoring this prize.

Optimized Visuals Tailored for Football Dynamics
The Toshiba REGZA Engine ZRi in Z670 transports football fans into the heart of the action. With the AI Football Mode, they’ll be able to see fast-moving objects crystal clear and football field actions much enriched. To see their favourite player score that winning goal, the AI Picture Optimizer automatically adjusts visual contrast and precision adapted to the game. From vivid green fields and vibrant player kits, every play comes to life with AI 4K Upscaling and Quantum Dot Color, transforming lower-resolution broadcasts into near-4K quality and unleashing lifelike visual color.
Powerful Audio Effects for a Live Stadium Experience
The Toshiba TV Z670’s powerful audio system makes viewers feel like they’re right in the game. With the REGZA Bass Woofer Pro, Tru Bass Booster, and Dolby Atmos, they’ll experience heart-thumping 3D surround sound that captures the live stadium atmosphere. Whether it’s the roar of the crowd or the intensity of each play, the rich audio brings the excitement of each game right into their room.
Bringing Everyone Together for UEFA EURO 2024™
Available in sizes ranging from 55″ to 85″, Z670 is equipped with a Wide Viewing Angle and Anti-reflection features that ensures a clear picture from all viewing positions with the non-glare panel. Gather everyone for “Brilliant Every Moment” in UEFA EURO 2024™ with Toshiba TV!
Please find the high-resolution TVC here: Link
About Toshiba TV:
With 70+ years of history in TV production, Toshiba TV is known for its exquisite craftsmanship, innovative ideas and groundbreaking inventions. By prioritizing superior image quality and auditory experiences, Toshiba TV sets new standards in entertainment. Toshiba TV stems from the excellence quest of customers, providing the world with responsible products to make the world a better place. Emphasizing attention to product details and technological advancement, Toshiba TV integrates aesthetically pleasing design, quality assurance, and brand reputation to underscore its commitment to authenticity in the actual world and a sincere dedication to its consumers, showcasing Toshiba TV’s long-standing design philosophy and continuous pursuit of product quality.
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