Artificial Intelligence
AI Training Dataset Market Size Worth USD 13.75 Billion, Globally, by 2032 at 23.85%
Newark, July 11, 2023 (GLOBE NEWSWIRE) — The Brainy Insights estimates that the USD 1.62 Billion in 2022 AI training dataset market will reach USD 13.75 Billion by 2032. Among the sectors where AI is gaining importance are manufacturing, IT, BFSI, retail & e-commerce, and healthcare. The increased demand for application-specific training data has created more significant opportunities for newcomers. Big data increasingly depends on artificial intelligence (AI) as the technology makes it possible to extract more complex representations through a hierarchical learning process, demanding the mining and extraction of significant patterns from enormous amounts of data.
Request a Free Sample PDF: https://www.thebrainyinsights.com/enquiry/sample-request/13562
Key Insight of the AI Training Dataset Market
Asia-Pacific is anticipated to expand at the highest CAGR of 25.77% over the projection period.
Asia-Pacific is expected to grow at the highest CAGR of 25.77% over the forecast period. As Indian commercial organizations develop strategies to modernize their operations, the adoption rate of innovative technology is steadily increasing. Several influential players are also concentrating on growing their footprint in the Asia Pacific region. For instance, Microsoft introduced the interior Location Dataset in July 2020 to gather various data from structures in Chinese cities, including the geomagnetic field and the interior wi-fi signature. These datasets are intended to assist in studying and advancing localization, navigation, and interior environments. Microsoft is not the only major player growing here; many others also exist. These factors are predicted to increase dataset usage in the area, resulting in a significant growth rate during the forecast period.
Over the projected period, the image/video segment is expected to register the highest CAGR of 26.81% in the AI training dataset market.
In the AI training dataset market, the image/video segment is anticipated to experience the highest CAGR of 26.81% during the forecasted period. Important players focus more on releasing new datasets with more applications. For example, Google LLC, a global technology corporation, announced the release of a new AI training dataset called Google-Landmarks-v2 in May 2020. This dataset includes millions of photos and thousands of landmarks. The organization also released two Kaggle challenges: landmark retrieval 2020 and landmark recognition 2020. These datasets were released to improve and strengthen systems, for instance, recognition and picture retrieval.
Over the projected period, the healthcare segment is expected to register the highest CAGR of 26.41% in the AI training dataset market.
Over the forecasted period, the healthcare segment is anticipated to grow at the highest CAGR of 26.41% in the AI training dataset market. AI in healthcare offers a range of therapeutic potential, including virtual assistants, wearable technology, diagnostics, and lifestyle and wellness management. A voice-activated symptom checker and an improved organizational process are additional applications of AI. To produce correct findings, each of these applications needs a sizable dataset. As a result, the utilization of datasets will increase, resulting in a significant CAGR during the predicted period.
Report Scope & Segmentation
| Report Coverage | Details |
| Forecast Period | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR | 23.85% |
| 2032 Value Projection | USD 13.75 Billion |
| Base Year | 2021 |
| AI Training Dataset Market Size in 2022 | USD 1.62 Billion |
| Historical Data for | 2019 to 2021 |
| No. of Pages | 238 |
| Segments covered | Type, Vertical |
Browse Complete Report Details: https://www.thebrainyinsights.com/report/ai-training-dataset-market-13562
Market Dynamics
Driver: Machine learning and AI are expanding quickly
The introduction of big data, which comprises the recording, storing, and processing of a significant amount of data, is predicted to encourage the expansion of the artificial intelligence market. A substantial rise in training dataset demand is projected as the application of artificial intelligence expands. This is because annotated data promotes the development of machine learning and artificial intelligence (AI) models in crucial domains like speech recognition and image identification. A wide range of applications, ranging from national intelligence, fraud detection, marketing, medical informatics, and cybersecurity, are used by many public and private organizations to collect domain-specific data. Unstructured and unsupervised data can be identified because datasets steadily improve the accuracy of each piece of knowledge.
Opportunity: Expanding uses of training datasets in several industry verticals
A rise in applications, websites, social networks, and other digital channels has enabled the collection and sharing of enormous amounts of visual and digital data. Many businesses have embraced this data-annotated, freely available web content to provide their customers with cutting-edge, superior products. One of the essential sources for clinical research is the unstructured text data accumulated from individuals using electronic health record (EHR) systems more frequently. There is a lot of potential for market expansion throughout the projection period due to growing applications across several industries.
Have Any Query? Ask Our Experts: https://www.thebrainyinsights.com/enquiry/speak-to-analyst/13562
Some of the major players operating in the AI training dataset market are:
• Appen Limited
• Lionbridge Technologies, Inc.
• Microsoft Corporation
• Samasource Inc.
• Deep Vision Data
• Google, LLC (Kaggle)
• Amazon Web Services, Inc.
• Alegion
• Cogito Tech LLC
• Scale AI Inc.
Key Segments cover in the market:
By Type:
• Image/Video
• Text
• Audio
By Vertical:
• Automotive
• Healthcare
• Retail & E-commerce
• IT
• BFSI
• Government
• Others
By Region
• North America (U.S., Canada, Mexico)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America)
• The Middle East and Africa (UAE, South Africa, Rest of MEA)
Quick Buy – AI Training Dataset Market Research Report: https://www.thebrainyinsights.com/buy-now/13562/single
About the report:
The market is analyzed based on value (USD Billion). All the segments have been analyzed worldwide, regional, and country basis. The study includes the analysis of more than 30 countries for each part. The report analyzes driving factors, opportunities, restraints, and challenges for gaining critical insight into the market. The study includes porter’s five forces model, attractiveness analysis, product analysis, supply, and demand analysis, competitor position grid analysis, distribution, and marketing channels analysis.
About The Brainy Insights:
The Brainy Insights is a market research company, aimed at providing actionable insights through data analytics to companies to improve their business acumen. We have a robust forecasting and estimation model to meet the clients’ objectives of high-quality output within a short span of time. We provide both customized (clients’ specific) and syndicate reports. Our repository of syndicate reports is diverse across all the categories and sub-categories across domains. Our customized solutions are tailored to meet the clients’ requirement whether they are looking to expand or planning to launch a new product in the global market.
Contact Us
Avinash D
Head of Business Development
Phone: +1-315-215-1633
Email: [email protected]
Web: http://www.thebrainyinsights.com
Artificial Intelligence
Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM with around 500K AMRs shipment by 2030 – LogisticsIQ
NEW DELHI, Sept. 20, 2024 /PRNewswire/ — The global Autonomous Mobile Robots (AMRs) market is poised for significant growth, driven by increasing demand for automation across various sectors, including logistics, manufacturing, and healthcare. According to the latest market research by LogisticsIQ (5th Edition), Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM by 2030 with a CAGR of ~30% between 2024 and 2030. We expect the installed base of AMRs to reach 2 million units in 2030.
Download a Free Sample of our report on Autonomous Mobile Robots Market
Key Market Drivers
Increased Efficiency: Businesses are rapidly adopting AMRs to enhance operational efficiency, reduce labour costs, and streamline workflows.Labor Shortages: The ongoing labour shortages in various industries have accelerated the need for automated solutions, making AMRs a crucial investment for companies.Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and sensor technology are making AMRs more capable and reliable.Growing E-Commerce: The rise of e-commerce has created a demand for efficient warehouse management solutions, further boosting the AMR market.Regional Insights
North America leads the AMR market, accounting for the largest share due to the early adoption of automation technologies. Meanwhile, the Asia-Pacific region, especially China is expected to witness the fastest growth, fuelled by rapid industrialization and increasing investments in smart factories. US and China are going to contribute ~40% of this market by 2030.
Industry Applications
Autonomous mobile robots are being utilized in various applications, including:
Warehouse Automation: AMRs enhance inventory management and order fulfillment processes. This industry is expected to lead with more than 75% share by 2030.Manufacturing: Robots facilitate material handling and assembly line operations. Traditionally, it has been dominated by AGVs but are getting replaced by AMRs due to more flexibility and scalability features.Healthcare: AMRs assist in transporting medical supplies, improving patient care and operational efficiency. It is a niche market but high growing area to focus further.Purchase the full report on the Autonomous Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the Autonomous Mobile Robots Market
Top Factors Driving Growth
Increased Demand for Automation: Businesses across industries are increasingly seeking automation to enhance efficiency and reduce operational costs.Technological Advancements: Innovations in AI, machine learning, and sensor technologies improve the capabilities and reliability of AMRs, making them more attractive to businesses.Labor Shortages: Ongoing labour shortages, especially in sectors like logistics and manufacturing, are pushing companies to adopt AMRs to maintain productivity.Growth of E-Commerce: The surge in online shopping requires efficient warehouse and logistics solutions, driving the adoption of AMRs for inventory management and order fulfillment.Improved Safety Standards: AMRs can reduce workplace accidents by taking over hazardous tasks, leading to safer working environments.Customization and Scalability: Many AMR solutions offer customizable features that allow businesses to scale operations according to their specific needs.Top Challenges
High Initial Costs: The upfront investment for AMRs can be substantial, which may deter smaller businesses from adoption.Integration with Existing Systems: Integrating AMRs into current operational workflows and legacy systems can be complex and resource-intensive.Regulatory Compliance: Navigating regulatory requirements and safety standards can pose challenges, especially in highly regulated industries.Limited Awareness and Understanding: Some businesses may lack knowledge about AMR technology and its potential benefits, hindering adoption.Technical Limitations: While technology is advancing, AMRs may still struggle with navigating complex environments or handling unexpected obstacles.Cybersecurity Concerns: As AMRs become more connected, they may be vulnerable to cybersecurity threats, requiring robust security measures.Know more about Autonomous Mobile Robots Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of Autonomous Mobile Robots Market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of Autonomous Mobile Robots like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
Media Contact
Name: Sunny M.Email: [email protected]: +91-952-918-4938
Photo: https://mma.prnewswire.com/media/2510643/Autonomous_Mobile_Robots_Market.jpgLogo: https://mma.prnewswire.com/media/2320412/LogisticsIQ_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/autonomous-mobile-robots-amr-market-to-cross-10-billion-tam-with-around-500k-amrs-shipment-by-2030—logisticsiq-302253915.html
SHANGHAI, Sept. 20, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, Executive Director of the Board of Huawei and CEO of Huawei Cloud Zhang Ping’an delivered a keynote speech “Thrive with the Cloud: Reshaping Industries with AI”. Zhang states that enterprises must seize opportunities in the intelligent era and use AI to build competitive advantages. The key is to adopt an AI-native mindset now.
First, enterprises should actively embrace AI, open up industry scenarios, and develop enterprise AI platforms. This will enable AI to serve their core business. Today, Huawei Cloud Pangu Models have been applied in more than 30 industries and 400 scenarios.
Second, AI computing power is critical. Enterprises need to build AI-native cloud infrastructure that matches their requirements. Zhang officially released CloudMatrix to interconnect and pool all resources including CPUs, NPUs, DPUs and memory. It marks an evolution from monolithic to matrix compute. CloudMatrix comprises an AI-native cloud infrastructure in which everything can be pooled, peer-to-peer, and composed, providing enterprises with abundant AI computing power.
Third, data quality determines the effectiveness of AI models. We need to build knowledge-centric data foundations to enable data to serve AI better. Huawei Cloud has fully upgraded DataArts to provide customers with AI-oriented and knowledge-centric data foundations. The updated features include AI+data convergence engines, data development and governance, knowledge services, and AI+data application enablement services.
Fourth, build suitable AI models based on business applications. We must abandon the misconception that larger models are better. It is not feasible to address all needs with just one foundation model. Pangu Models 5.0 are available in different sizes, with parameters in the billions, tens of billions, hundreds of billions, and trillions. The complete series of Pangu models meet practically all business application needs.
In addition, Huawei Cloud’s Pangu 5.0 models enhance spatiotemporal controllable generation (STCG) in the field of multimodal generation. For autonomous driving，the Pangu model can generate driving scenarios that accurately mirror the physical world. It can generate videos that reflect normal driving scenarios, random road conditions and accidental and aggressive driving, allowing automotive enterprises to train autonomous driving more efficiently.
Huawei Cloud officially released the Mainframe-to-Cloud Solution, designed to help customers develop new core systems on the cloud with high availability, easy O&M, and better agility, helping customers achieve 99.999% financial-grade high availability. Currently, most banks in China have chosen Huawei to build their new core systems on the cloud.
Tao Jingwen, Huawei’s Director of the Board and President of the Quality, Business Process & IT Mgmt Dept, recounted Huawei’s digital transformation journey. Huawei has developed a methodology, which can be broken down into three layers, five phases, and eight steps. The three layers are redefining intelligent business, AI model development and delivery, and ongoing optimization of intelligent applications. The five phases are identifying suitable scenarios, reshaping processes, transforming organizations, optimizing corporate data, and adopting AI applications.
Bruno Zhang, CTO of Huawei Cloud, presented insights on how Huawei Cloud is leveraging AI to reshape data centers, infrastructure, and cloud services. He also addressed the construction of an AI-native cloud designed to accelerate intelligence in industries. The “1+N” Pangu assistant system, unveiled by Mr. Zhang, signifies a new era in cloud service interaction. The system includes Pangu Doer, and the myriad use cases in product R&D, data analytics, security, and office collaboration, where Pangu models are trained using the scenario-specific data, know-how, and practices to enhance cloud services and boost efficiency with tailored AI.
Photo – https://mma.prnewswire.com/media/2510783/Zhang_Ping_an_Executive_Director_Board_Huawei_CEO_Huawei_Cloud.jpg Photo – https://mma.prnewswire.com/media/2510784/AI_native_cloud_infrastructure_CloudMatrix_officially_released.jpg
View original content:https://www.prnewswire.co.uk/news-releases/huawei-cloud-thrive-with-the-cloud-and-reshape-industries-with-ai-302254192.html
Artificial Intelligence
Creative by Nature: HUAWEI Launches GoPaint Worldwide Creating Activity 2024
BARCELONA, Spain, Sept. 20, 2024 /PRNewswire/ — On September 19, HUAWEI officially launched the GoPaint Worldwide Creating Activity 2024 themed “Creative by Nature”. From the kickoff day to December 31, 2024, painting enthusiasts around the world can share their unique digital art works on HUAWEI Community platform.
With their HUAWEI MatePad tablets, designed to spark creativity, global consumers can bring the “Creation of Beauty” concept to life. The HUAWEI GoPaint Worldwide Creating Activity invites aspiring artists to unleash their inner creativity and continue to be inspired.
The new HUAWEI MatePad Pro 12.2-inch and HUAWEI MatePad 12 X come with powerful hardware and enhanced writing & painting experience when working with the most updated GoPaint App. The app’s professional brush engine, diverse canvas options, and FangTian Painting Engine 2.0 provide a seamless, authentic, and user-friendly creative experience.
The Activity is divided into five groups, with themes of Sci-Fi Art, Design & Fashion, Narrative Art, Cutting-edge Painting, and Digital Watercolor & Ink. Find out more in the the Official Website and get ready to paint on your HUAWEI MatePad[1]!
In the HUAWEI GoPaint Worldwide Creating Activity, you could win the chance to showcase your artwork worldwide and in app placements. You’ll also have the opportunity to share your creative journey in video interviews. For more details, please visit the official website: https://consumer.huawei.com/en/campaign/gopaint/
[1] MatePad tablets that support the GoPaint App are required, such as HUAWEI MatePad Pro 13.2, HUAWEI MatePad 11.5S, HUAWEI MatePad Pro 12.2, and HUAWEI MatePad 12 X.
Photo – https://mma.prnewswire.com/media/2510583/Creative_Nature_HUAWEI_Launches_GoPaint_Worldwide_Creating_Activity_2024.jpgPhoto – https://mma.prnewswire.com/media/2510584/Creative_Nature_HUAWEI_Launches_GoPaint_Worldwide_Creating_Activity_2024_1.jpgPhoto – https://mma.prnewswire.com/media/2510585/Creative_Nature_HUAWEI_Launches_GoPaint_Worldwide_Creating_Activity_2024_2.jpgPhoto – https://mma.prnewswire.com/media/2510586/Creative_Nature_HUAWEI_Launches_GoPaint_Worldwide_Creating_Activity_2024_3.jpg
View original content:https://www.prnewswire.co.uk/news-releases/creative-by-nature-huawei-launches-gopaint-worldwide-creating-activity-2024-302254112.html
-
Artificial Intelligence4 days agoDATAMARK Technologies Applauded by Frost & Sullivan for Advancing Location Determination Capabilities and Data Accuracy with Its Improved GIS and Indoor Mapping Solution
-
Artificial Intelligence4 days agoLab Automation Market to Reach $11.31 Billion by 2031, Driven by Rising Pharmaceutical & Biotech R&D Expenditures and Increasing Demand for Automated Laboratories and Instruments – Report by Meticulous Research®
-
Artificial Intelligence7 days agoSeaBubbles Accelerates Sustainable Maritime Mobility with SmartBubble and Strategic Acquisition
-
Artificial Intelligence7 days agoAmagi and BuyDRM Partner to Secure Streaming Video on PlayMedia’s FAST Platform GoPlay
-
Artificial Intelligence7 days ago
Akuvox S567G Smart Indoor Monitor Has Received Google Mobile Service Certification
-
Artificial Intelligence3 days agoTata Elxsi Inaugurates the ‘xG-Force’ 5G Applications Lab for Cross-Industry Digital Transformation
-
Artificial Intelligence3 days agoAutoliv appoints Fabien Dumont as Executive Vice President & Chief Technology Officer
-
Artificial Intelligence4 days agoPost-Quantum Cryptography (PQC) Market worth $1,887.9 million by 2029 – Exclusive Report by MarketsandMarkets™
