Artificial Intelligence
The Global Natural Language Processing Market size is expected to reach $29.5 billion by 2025, rising at a market growth of 20.5% CAGR during the forecast period
New York, Jan. 14, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Natural Language Processing Market (2019-2025)” – https://www.reportlinker.com/p05838704/?utm_source=GNW
Basic NLP tasks include tokenization and sorting, lemmatization/stemming, speech tagging, language detection, and semantic relationship identification. NLP tasks generally break down language into smaller, simpler pieces, understand the relationships between the pieces, and explore how the pieces work together to create meaning.
Growing demand for enhanced customer experience, increased use of smart devices, increased choice in application areas are expected to drive growth in the natural language processing market. Moreover, growing investments in the healthcare industry, increasing deployment of cloud-based and web business applications with rising machine-to-machine technology are further fueling the growth of the demand for natural language processing. Natural language processing demand is anticipated to witness an increase in professional services around the globe with growing need. Being an easily deployable and cost-effective cloud platform, natural language processing makes it more suitable for professional services.
Based on Component, the market is segmented into Solution and Services. Based on Application, the market is segmented into Text Classification, Machine Translation, Question Answering, Sentiment Analysis, Information Extraction, Automatic Summarization and Others. The sentiment analysis application is one of NLP’s most common tools, with a large number of courses, tutorials, and applications focused on analyzing feelings from different datasets, ranging from corporate surveys to movie reviews. It is the automated process that uses AI to classify positive, negative, and text-neutral opinions. Analysis of sentiment is widely used to gain insights from comments on social media, survey responses, and product reviews, and to make decisions based on data. Based on type, the market is segmented into Rule Based, Statistical and Hybrid. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on Industry Vertical, the market is segmented into BFSI, IT & Telecom, Healthcare, Retail & eCommerce, Government & Defense, Media & Entertainment, Manufacturing and Others.
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. North America is projected to have the largest market size during the forecast period, while the region is witnessing rapid technological advances; thus, the high adoption of digital technologies is one of the drivers of NLP market growth in the region. In addition, the region, a well-established economy, has seen large-scale investment in AI-enabled infrastructure, as a result of which both start-ups and well-established companies are more focused on developing creative NLP-enabled solutions for diverse verticals.
The major strategies followed by the market participants are Product launches and Partnerships & Collaborations. Based on the Analysis presented in the Cardinal matrix, Microsoft Corporation, Google, Inc., and Apple, Inc. are some of the forerunners in the Natural Language Processing Market. The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., Amazon.com, Inc., Apple, Inc., Facebook, Inc., Intel Corporation, SAS Institute, Inc., Baidu, Inc., Health Fidelity, Inc., Conversica, Inc., and Inbenta Technologies, Inc.
Recent strategies deployed in Natural Language Processing Market
Partnerships, Collaborations, and Agreements:
Nov-2019: Microsoft signed partnership agreement with Graphcore in which Microsoft will develop systems for Azure and enhancing the advanced natural language processing and machine learning models on IPUs.
Apr-2019: SAS partnered with Citi and EY for the NextGen Project that uses artificial intelligence (AI) in order to develop a risk analytics scoring engine. This project is aimed at analysing the global trade transactions in depth and uses advanced analytics and natural language processing for understanding the networks of related parties, customer activity, and unstructured data in a better way.
Apr-2019: Google collaborated with Grid Dynamics, a provider of engineering and consulting services. This collaboration is centered on the acceleration of enterprise adoption of Google Cloud Platform (GCP) Technologies. Grid will use the GCP API for accelerating the development of machine learning models for supply chain optimization, predictive analytics, computer vision, conversational commerce, deep learning, and natural language processing.
Mar-2019: SAS Institute came into partnership with NVIDIA for helping the businesses in bringing the artificial intelligence (AI) into their organizations. The companies are coming together across computer vision, machine learning, and natural language processing, with NVIDIA GPUs and CUDA-X AI acceleration libraries.
Jan-2019: Health Fidelity collaborated with Change Healthcare for using risk adjustment solution of Change Healthcare. Its risk adjustment solution has been embedded with machine learning technology and natural language processing (NLP) for helping the ACA Commercial, Medicare Advantage, and Medicaid Payers in increasing claim accuracy and better addressing the compliance obligations.
Acquisition and Mergers:
Jul-2018: Facebook acquired Bloomsbury AI, a UK based startup whose natural language AI owned the considerable value. The acquisition strengthens the natural language processing research and helps the company in further understanding the natural language and its applications.
May-2018: Microsoft announced the acquisition of Semantic Machines, developer of new approaches for building conversational AI. Together the companies will develop their work in conversational AI with Microsoft’s digital assistant Cortana and social chatbots like XiaoIce.
Jan-2018: Conversica acquired Intelligens.ai, a provider of conversational AI for marketing and sales focused on Latin America market. The acquisition adds Intelligens technology, data set, and conversations to the Conversica’s conversational AI platform, allowing customers to take the advantages of new capabilities and increased AI accuracy.
Jul-2017: Baidu took over KITT.AI, a developer of technologies that enables voice interaction with digital devices and services. The acquisition bolsters Baidu’s AI technology.
Product Launches and Product Expansions:
Nov-2019: Baidu introduced PaddlePaddle upgrades that include a streamlined toolkit dubbed Paddle Lite 2.0. It is the updated version of Baidu’s natural language processing framework.
Nov-2019: Microsoft Research’s Natural Language Processing Group unveiled dialogue generative pre trained transformer. DialoGPT is a deep-learning natural processing model for use in automatic conversation response generation. This model has been trained on more than 147M dialogues and achieves the results on several benchmarks.
Oct-2019: Google introduced two new dialog datasets for natural language processing development. These datasets are: Taskmaster-1 and Coached Conversational Preference Elicitation (CCPE). The datasets includes thousands of conversations as well as annotations and labels for training the digital assistants for better determining the intentions and preferences of users.
Aug-2019: Conversica made advancements in its conversational AI platform that powers the millions of front-office conversations between Conversica’s AI assistants and people. The new enhancements offer the business users the flexibility and freedom for personalizing the conversations. The features include next generation of conversation editor, new users profile capability, and expanded library of conversation types & third-party integrations.
Aug-2019: Facebook announced the launch of Misspelling Oblivious (word) Embeddings (MOE), a new model for bolstering the use of natural language processing. This model is a mixture of a supervised task and fastText that is embedded with misspellings close to their correct variants.
Jul-2019: Baidu released ERNIE 2.0, a conversational AI framework and model that works in Chinese and English. ERNIE 2.0, a Chinese language understanding model, which outperformed other high-ranking NLP models.
Scope of the Study
Market Segmentation:
By Component
• Solution
• Services
By Application
• Text Classification
• Machine Translation
• Question Answering
• Sentiment Analysis
• Information Extraction
• Automatic Summarization
• Others
By Type
• Rule Based
• Statistical
• Hybrid
By Deployment Type
• On-premise
• Cloud
By Industry Vertical
• BFSI
• IT & Telecom
• Healthcare
• Retail & eCommerce
• Government & Defense
• Media & Entertainment
• Manufacturing
• Others
By Geography
• North America
o US
o Canada
o Mexico
o Rest of North America
• Europe
o Germany
o UK
o France
o Russia
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Singapore
o Malaysia
o Rest of Asia Pacific
• LAMEA
o Brazil
o Argentina
o UAE
o Saudi Arabia
o South Africa
o Nigeria
o Rest of LAMEA
Companies Profiled
• IBM Corporation
• Microsoft Corporation
• Google, Inc.
• Amazon.com, Inc.
• Apple, Inc.
• Facebook, Inc.
• Intel Corporation
• SAS Institute, Inc.
• Baidu, Inc.
• Health Fidelity, Inc.
• Conversica, Inc.
• Inbenta Technologies, Inc.
Unique Offerings
• Exhaustive coverage
• Highest number of market tables and figures
• Subscription based model available
• Guaranteed best price
• Assured post sales research support with 10% customization free
Read the full report: https://www.reportlinker.com/p05838704/?utm_source=GNW
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Artificial Intelligence
Elevate Your Virtual Reality Experience with KIWI design RGB Vertical Stand, Now Available on Meta’s Website
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.
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Artificial Intelligence
WIO Taps Gracenote to Revolutionize Television Broadcast Reporting
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
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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