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AI Infrastructure Market – Growth, Trends, COVID-19 Impact, and Forecasts (2022 – 2027)

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New York, March 02, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “AI Infrastructure Market – Growth, Trends, COVID-19 Impact, and Forecasts (2022 – 2027)” – https://www.reportlinker.com/p06241311/?utm_source=GNW
Increasing demand for AI hardware in high-performance computing data centers and rising application of machine learning and deep learning technologies are expected to drive the growth of the market.

Key Highlights
Enterprises increasingly recognize the value associated with the incorporation of artificial intelligence (AI) into their business processes, as they improve operational efficiency and reduce cost through automation of process flows. Thus, companies have been using autonomous processes to improve operations and change the face of customer service (for example, through AI-powered chatbots) while spurring innovation to new heights. AI is a set of algorithms that can solve a specific set of problems and works best with a significant volume of high-quality Big Data. Chatbots can cut down the operational costs for businesses by up to 30%.
Furthermore, as the focus of IT strategy moves from data management to intelligent action, enterprises have been increasingly recognizing the role of AI to support humans in problem-solving, decision making, and creative endeavors. Enterprises recognize that implementing and using AI is critical for their continued growth in the competitive environment with many potential opportunities, such as new opportunities using AI to drive innovation, make connections, identify, and foster new developments.
To take advantage of the increasing AI opportunities, one of the first considerations for any organization is to have a suitable infrastructure to support the AI developments. Moreover, AI solutions frequently demand new hardware and software integration to function. For instance, for collation and annotation of data source, scalable processing, or creating and fine-tuning models as new data become available requires AI solutions, such as repurposing existing hardware and buying a one-off AI solution, building a broader platform to support multiple AI solution, and outsourcing AI solution delivery. Thus, infrastructure plays a vital role in the growth of the AI landscape.
Different companies have been offering AI infrastructure-related solutions in the market studied that have been enabling the company to leverage their AI infrastructure. For instance, in February 2022, Spell, the leader in operationalizing AI for natural language processing (NLP), machine vision, and speech recognition applications, and Graphcore, maker of the Intelligence Processing Unit (IPU) for next-generation AI compute, have announced a partnership to deliver the next generation of AI infrastructure. The new solution integrates Graphcore’s IPU-POD scale-out systems with Spell’s eponymous hardware-agnostic MLOps software platform for deep learning (DLOps) to make advanced AI development faster, easier, and less expensive.
In August 2021, Dell Technologies announced the certification of Dell EMC VxRail for the newly available NVIDIA AI Enterprise software suite. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems. It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
Further, the COVID-19 pandemic caused many organizations to accelerate their migrations to public cloud solutions since cloud service elasticity can meet unexpected spikes in service demand. Migrations to the cloud helped companies reinvent the way they conduct their businesses in the time of COVID-19. The need for AI services has grown, and many cloud providers offer AIaaS and MLaaS. As a result, the global cloud market recorded significant growth in the healthcare segment in 2020. AI and ML technology is being used considerably to fight COVID-19. For instance, several researchers are using machine learning to create a smart monitoring system that tracks and detects suspected COVID-19 infected persons. One of the proposed systems is a new framework integrating machine learning, cloud, fog, and Internet of Things (IoT) technologies to create a COVID-19 disease monitoring and prognosis system.

Key Market Trends

Hybrid Deployment is Expected to Hold a Major Market Share

The rising transition of companies providing AI solutions from SMEs to large enterprises is bolstering the demand for on-premise solutions that enable scalability, both vertically and horizontally. This factor has created a significant demand for hybrid integration solutions (that comprise a mix of on-premise applications and cloud-based services) among enterprises. ?
The main advantage of using the hybrid model for AI solutions is that organizations can deploy solutions dependent on the degree of scalability they require for particular operations or applications. ?According to the Flexera 2020 State of the Cloud Survey Report, 93% of enterprises have a multi-cloud strategy, and 87% of the enterprises with a hybrid strategy, while organizations with a strategy of multiple public clouds or multiple private clouds grew slightly by 6%.
Some of the prominent vendors in the market according to Pure storage are Amazon, IBM, Google, and Microsoft as its public cloud can be easily integrated to as hybrid cloud and multi-cloud according to the data gathered to form a survey of more than 500 IT professional. Similarly, with such growing demand, the company has announced the number of partners in their hybrid cloud environment, and IBM and Amazon stand at a higher position as of May 2021 with 65 and 63 partners, respectively. This is a solid indication of hybrid cloud adoption in the market.
It is also possible to create a data-centric IT architecture for AI, which further means modernizing IT environments with hybrid multi-cloud. The importance of hybrid multi-cloud in creating an AI roadmap is the important aspect enterprises consider while building their hybrid multi-cloud. Moreover, enterprises should integrate their public and private clouds and legacy data centers into their hybrid multi-cloud framework. An integrated hybrid multi-cloud enables a unified IA, which also improves the portability and interoperability of both applications and data. Hybrid multi-cloud also solves the issues of security, compliance, and latency. Besides these factors, enterprises also have to be aware of certain imperatives of developing an AI strategy.
Businesses are also designing a multi-pronged strategy for their hybrid multi-cloud. As a part of this step, they should identify cloud platforms with embedded AI capabilities and plan continuous training for their AI and hybrid multi-cloud teams to ensure success. As an entity with data authority on hybrid cloud, NetApp AI solutions remove bottlenecks at the edge, core, and cloud to enable more efficient data collection, accelerated AI workloads, and smoother cloud integration, helping the hybrid cloud deployment to grow. For instance, in May 2021, Hewlett Packard Enterprise announced that Carestream Health, a global provider of medical imaging systems, has selected HPE GreenLake to transform the healthcare platform using a hybrid cloud AI platform. Carestream will change X-ray systems across the globe using HPE GreenLake for ML Ops powered by HPE Ezmeral.

Asia Pacific is Expected to Register the Fastest Growth During the Forecast Period

It is anticipated that AI research in China to accelerate as more major Chinese AI companies embrace open-sourcing, clearing the path for further innovation. Engineers can focus on the high-level structure of their model without going into the details of underlying algorithms with the help of a pre-built and optimized framework. Meanwhile, the government is speeding up the construction of “new infrastructure”projects, like 5G networks and data centers, bolstering information services for the expanding market. Soon after, the Chinese government announced the establishment of the Next Generation Artificial Intelligence Development Plan, which promises policy support, central coordination, and investments totaling more than USD 150 billion by 2030. By the end of this decade, China’s AI business is expected to produce USD 160 billion in yearly revenues, with allied industries generating USD 1.6 trillion in annual sales.
China’s digital behemoths have been encouraged by the government to develop artificial intelligence. More relationships with industry incumbents will be catalyzed by libraries, platforms, and frameworks that will enable small and medium businesses to use artificial intelligence at a lower price. It also has the added benefit of ensuring that each of those ecosystems develops a more equitable collection of complementors, allowing the digital behemoths to take a larger portion of the value that artificial intelligence generates and creates.
Further, India is one of the world’s fastest-growing economies, with a huge interest in AI’s worldwide development. The Indian government recognizes the potential and is taking all necessary steps to steer the country and place it among the leaders in AI. Despite the favorable ecosystem, there are considerable obstacles that the government must overcome to achieve rapid progress in AI. India, for example, lacks the infrastructure to support large-scale experimental testbeds and a data ecosystem that allows intelligent data to be accessed.
According to a report by the Center for Security and Emerging Technologies, India is well-positioned to become a big player and an important partner in the AI ecosystem (CSET). According to research published by a US think tank, India’s AI policy is on the right track. Six more Indian technology start-ups have joined the Unicorn club. To put things into context, India only produced seven unicorns in 2020 and six in 2019. Experts believe that by 2025, India will have more than 150 unicorns.
Many AI firms in India rely on cloud infrastructure due to a lack of infrastructure. However, cloud usage in India is still in its infancy. India barely spent 1.6% of its GDP on IT, which is less than half of the global average. India barely spent 6% of its IT budget on cloud computing, lagging the global average of 7.9%, as stated by CSET Report.
The United Kingdom and India struck a USD 1.4 billion trade deal in May 2021, with the promise of thousands of employment on both sides and the possibility of a future free trade agreement. The package comprises a USD 338.56 million investment by the Serum Institute of India in their vaccine business in the United Kingdom, which will assist research, clinical trials, production, and export of artificial intelligence-based drones (AI).

Competitive Landscape

The AI Infrastructure Market is highly competitive, owing to the presence of multiple large players in the market operating in domestic and international markets. The market appears to be moderately concentrated, with the major players in the market are primarily adopting major strategies such as product innovations and mergers and acquisitions. The market is a technology-driven market that witnesses players are putting major efforts in R & D to widen the functionality of their solutions. Some of the major players in the market are Nvidia Corporation, Microsoft Corporation, Google, and IBM.

November 2021 – IBM and NeuReality, an Israeli AI systems and semiconductor company, announced their partnership to develop high-performance AI inference platforms designed to deliver cost and power consumption improvements for deep learning. The agreement involves NR1, NeuReality’s first Server-on-a-Chip ASIC implementation of their AI-centric architecture. Together, the two companies are likely to evaluate NeuReality’s products for use in IBM’s Hybrid Cloud, including AI use cases, system flows, virtualization, networking, and security.
September 2021 – Microsoft and OYO, a global travel technology company, announced a multi-year strategic alliance to co-develop next-gen travel and hospitality products and technologies. OYO is expected to adopt Microsoft Azure Cloud Infrastructure and Artificial Intelligence solutions to improve the digital capabilities of small and medium hotels.
June 2021 – Google selected AMD’s 3rd Gen EPYC Processors to launch its first Tau Virtual Machines instance, T2. By collaborating with AMD, Google Cloud customers can now leverage amazing performance for scale-out applications, with great price-performance, all without compromising x86 compatibility. AMD EPYC processors power numerous instances at Google Cloud that support workloads including computing optimized, general-purpose, high-performance, and confidential computing.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support
Read the full report: https://www.reportlinker.com/p06241311/?utm_source=GNW

About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.

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Artificial Intelligence


Elevate Your Virtual Reality Experience with KIWI design RGB Vertical Stand, Now Available on Meta’s Website





 






Published
 18 hours ago 
on
 May 11, 2024





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LOS ANGELES, May 11, 2024 /PRNewswire/ — Top-tier VR accessories provider KIWI design has launched its latest product, the RGB Vertical Stand. This Meta-authorized accessory, designed to deepen users’ immersion in the metaverse, is now available on the official Meta website.


“KIWI design’s commitment to pushing the boundaries of virtual reality accessories takes another leap forward with the introduction of our new products,” said Ray,the CEO of KIWI design. “We are always dedicated to bringing innovative upgrades to VR device accessories, with the goal of enriching users’ virtual reality experiences.”

The newly launched RGB Vertical Stand features a user-friendly modular design with push-in assembly, making it easy to set up and use. It is compatible with Meta Quest 3, Quest 2, and Quest Pro, ensuring widespread usability. With a magnetic USB Type-C connector, it provides an effortless way to charge and display your headset. Users can also customize their display with 16 pre-set ambient multicolor RGB light options.

With VR technology constantly evolving, users are seeking more immersive experiences. As a leading manufacturer of VR accessories, KIWI design is committed to enhancing the user experience, through unique product designs. Since its establishment in 2015, KIWI design has acquired over 100 patents and has a diverse product lineup, including head straps, facial interfaces, VR stands, charging accessories, and controller grip covers.

KIWI design has also actively participated in the Made for Meta program, which is provided by Meta to strengthen its partnerships with leading brands to deliver accessories that enhance Meta products with more choice and a richer experience for everyone. KIWI design’s participation in this program validates its high-quality design standards.

The RGB Vertical Stand for Meta Quest 3, Quest 2, and Quest Pro and another specially designed authorized charging dock for the Meta  Oculus Quest 2 are now available for purchase on both KIWI design’s website and Amazon. For more information about our brand and products, please visit our website and follow KIWI design on Facebook, Instagram, X, YouTube and TikTok.

https://www.kiwidesign.com/

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Artificial Intelligence


WIO Taps Gracenote to Revolutionize Television Broadcast Reporting





 






Published
 1 day ago 
on
 May 11, 2024





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LOS ANGELES, May 11, 2024 /PRNewswire/ — WIO LLC, parent company of the global TV broadcast airings platform, WIOpro™, has announced a new strategic agreement with Gracenote, the global content data business unit of Nielsen, to address the longstanding challenge of accurately tracking and collecting music royalties generated by broadcast television and digital programming, With this agreement, WIO will integrate Gracenote TV program metadata and show airings into its WIOpro™ (“When’s It On – Professional”) platform enabling performance rights organizations, copyright management organizations and other entities to better monitor broadcast schedules and identify when royalties have been earned.


By integrating Gracenote historical program data into WIOpro’s new LookBack™ feature, WIO is enhancing its reporting capabilities and empowering Collection Societies, Rights Management Companies and the royalty-earning community to more easily monitor and export broadcast airings and better understand collections opportunities.

“At WIO, we are committed to empowering collection societies and copyright holders around the world with our platform tools and unprecedented access to the best and most accurate television broadcast and streaming data available,” said Shawn Pierce, Co-Founder and CEO of WIO LLC. “We have enjoyed an incredible relationship with Gracenote for 10 years. With the solidification of this agreement, we are able to deliver an unrivaled dataset to the royalty and residual community in a way that has not been offered before.” said Adam Shafron, Co-Founder and CTO of WIO LLC.

“WIO’s platform developed to solve the difficult matter of royalty tracking only becomes more powerful based on the integration of accurate, timely and comprehensive Gracenote metadata,” said Scott Monahan, Director, Strategic Partnerships, Gracenote. “We look forward to the combination of WIOpro’s technology and Gracenote’s program metadata delivering on the promise of transforming music royalty collection so that rights holders can be fairly compensated for use of their work.”

WIO and Gracenote will be at the MusicBiz 2024 conference in Nashville, TN May 13 – 16. Contact Dave Pelman, COO of WIO LLC at [email protected] for media queries or to book an appointment for a product demonstration.

About WIO:WIO is a technology company dedicated to providing broadcast television and digital programming data tailored specifically for the royalty and residual collection industry. Through its platform WIOpro (wiopro.com), users obtain access to real-time broadcast insights, reporting and curated data delivery.

About Gracenote:Gracenote is the content data business unit of Nielsen providing entertainment metadata, connected IDs and related offerings to the world’s leading creators, distributors and platforms. Gracenote enables advanced content navigation and discovery capabilities helping individuals easily connect to the TV shows, movies, music, podcasts and sports they love while delivering powerful content analytics making complex business decisions simpler.

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Artificial Intelligence


IDTechEx Explores Printed Electronics in Electrified and Autonomous Mobility





 






Published
 2 days ago 
on
 May 10, 2024





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BOSTON, May 10, 2024 /PRNewswire/ — Electrification, autonomy, and vehicle ownership saturation are causing a technological revolution in the automotive sector. These automotive meta-trends are driving drastic changes in electronic component requirements and present a high-volume opportunity for printed electronics to capitalize on.


Historically, printed electronics technologies have nurtured a close relationship with the automotive sector, with printed force sensors pioneering passenger safety through seat occupancy and seatbelt detection. As such, the automotive sector continues to represent the lion’s share of the global printed and flexible sensor market, which IDTechEx’s report on the topic evaluates as worth US$421M in 2024. However, if the automotive sector is to continue to be a reliable revenue stream, printed electronics technology providers must adapt to address the emerging technical challenges facing future mobility.

Augmenting autonomous vehicles with printed electronics

As vehicle autonomy levels advance, the increasing number and distribution of spatial mapping sensors required will need continuous performance improvements to ensure passenger safety. Emerging printed electronics technologies can augment these sensors, extending detection bandwidth and maximizing reliability during operation.

Transparent conductive films (TCFs) are being developed to heat and defog LiDAR sensor panels, ensuring the function is unperturbed by external environmental conditions. Properties such as high transparency and low haze are important for defogging. These properties can be easily tuned using the wide variety of material options available for TCFs, including carbon nanotubes and silver nanowires.

IDTechEx identifies printed heating as a leading application of transparent conductive films. This is attributed to diminishing growth prospects in capacitive touch sensing applications. Innovations in thin film coating techniques have enabled indium tin oxide (ITO) to dominate touch sensing applications, all but displacing TCFs completely.

Looking towards the future, printed electronics technologies could play a more active role in advanced autonomous driving. Emerging semiconductive materials, such as quantum dots, printed directly onto conventional silicon image sensor arrays can extend detection range and sensitivity deeper into the infrared region. Augmenting existing image sensor technology with enhanced spectral range could facilitate the competition of hybrid silicon sensors with established InGaAs detectors.

Printed sensors promise granularized battery health monitoring

Vehicle electrification is driving the sustained development and evolution of electronic management systems, particularly in the battery and electric drivetrain. A strong market pull exists for technologies that increase vehicle efficiency, range, and lifetime while reducing recharge times.

Printed pressure and temperature sensors measure battery cell swelling and thermal profiles, providing granularized physical data that can be used to optimize battery deployment and recharging. Moreover, hybrid printed sensors that combine integrated printed heating elements promise a solution to actively address battery temperature. IDTechEx estimates that printed sensor-enabled battery deployment and charging optimizations could be worth up to US$3000 in savings per vehicle.

There remains uncertainty about whether electrification trends will correspond to increased demand for physical sensors in electric vehicle batteries, owing to the utility of existing electronic readouts for managing deployment. Virtual sensors also pose a threat, where AI-enabled software models interpret data to predict and emulate physical sensor functions without the need for discreet components. However, emerging regulations regarding safety and sensor redundancy will likely favor measurable metrics and see automotive makers continue to adopt physical sensors. IDTechEx predicts that virtual sensors are unlikely to displace their physical counterparts – so long as low-cost sensors remain widely available.

Embedding printed electronics in the car of the future

IDTechEx predicts that global car sales will saturate over the next decade, with automakers increasingly looking for premium features and technical innovations to differentiate themselves from the competition. In-cabin technologies will be highly desirable – as the location where passengers reside and interact with the vehicle the most.

Lighting elements are emerging as a prominent differentiator, described as “the new chrome” by Volkswagen’s chief designer. The use of in-mold structural electronics (IMSE) enables the integration of embedded lighting elements using existing manufacturing processes. 3D electronics technologies are intrinsically attractive for automotive integration, as functional layers are conformable and lightweight while easily embedded within existing aesthetic elements.

Despite strong tailwinds, the adoption of in-mold electronics within automotive interiors has been sluggish. This is attributed to the challenges of meeting automotive qualification requirements, as well as stiff competition with less sophisticated alternatives such as applying functional films to thermoformed parts. Nevertheless, momentum is building, with technology providers like Tactotek partnering with Mercedes-Benz and Stallantis to progress the automotive validation of IMSE to TRL5.

Outlook for printed electronics in automotive applications

Just as printed force sensors heralded early passenger safety systems, printed electronics technology is poised to underpin next-generation innovations for the car of the future. But this time, the competition will be stiff. Critical cost requirements must be met, while desirable new functionality must address existing challenges faced by manufacturers. Printed electronics can play a role in supporting emerging electrified and autonomous mobility, such as augmenting LiDAR sensors or optimizing electric battery deployment. Demand for technologies that enhance passenger experience and vehicle aesthetics will continue to grow, and printed electronics can supply low-power, lightweight lighting solutions for these.

Sustained engagement from tier suppliers and manufacturers continues to make the automotive sector key to printed sensor market growth opportunities – a total market IDTechEx predicts will reach US$960M by 2034. Strong partnerships between material providers and printed electronics technology providers are complementary to those of the highly vertically integrated automotive value chains between tier suppliers and OEMs. Leveraging printing techniques to provide solutions that slot into existing manufacturing processes and designs will be crucial. In the medium term, the printed electronics technologies most likely to realize revenue potential are those that can adapt to service emerging challenges already known to the automotive industry.

For more information on IDTechEx’s research on this topic, please see their report, “Printed and Flexible Sensors 2024-2034: Technologies, Players, Markets”. Downloadable sample pages are available for this report.

For the full portfolio of printed and flexible electronics market research from IDTechEx, please visit www.IDTechEx.com/Research/PE.

About IDTechEx:

IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. 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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