Here are relevant reports on : language-translation-services-market
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Security Assertion Markup Language (SAML) Authentication Market by Component (Solution and Services), Deployment Mode (On-Premises and Cloud), Organization Size (SMEs and Large Enterprises), Vertical, and Region - Global Forecast to 2024
The Security Assertion Markup Language (SAML) authentication market is expected to grow from USD 1.5 billion in 2019 to USD 3.0 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 14.2% during the forecast period. The key factors driving the SAML authentication market include organizations’ need to effectively manage large volumes of identities; organizations’ need to provide enhanced, consistent, and unified identity security to customers and employees and enhance the operational efficiency; and effective management of stringent regulatory compliances. The SAML authentication market comprises major solution providers, such as Gemalto (Netherlands), Ping Identity (US), AWS (US), Microsoft (US), Oracle (US), miniOrange (India), OneLogin (US), RCDevs (Luxembourg), Ariel Software Solutions (India), SAASPASS (US), SSO Easy (US), ManageEngine (US), Okta (US), Auth0 (US), and PortalGuard (US). The study includes an in-depth competitive analysis of the key players in the SAML authentication market, along with their company profiles, recent developments, and key market strategies.
- Published: May 2019
- Price: $ 4950
- TOC Available:
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Artificial Intelligence (AI) Toolkit Market by Offering (Hardware, Software, Services), Technology (Natural Language Processing, Machine Learning), Vertical (BFSI, Retail & eCommerce, Healthcare & Life Sciences) and Region - Global Forecast to 2028
The AI Toolkit market is projected to reach USD 91.6 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 36.2% during the forecast period. The major vendors covered in the AI Toolkit market include Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (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 AI Toolkit market.
- Published: October 2023
- Price: $ 4950
- TOC Available:
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No-Code AI Platforms Market by Technology (NLP, Predictive Analytics, Deep Learning) Automation Platforms (Conversational AI, Business Process Automation), Application (Workflow Automation, Text Translation, Chatbots) - Global Forecast to 2029
The global no-code AI platforms market is projected to reach USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. The major No-code AI platforms providers include IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the no-code AI platforms market.
- Published: June 2024
- Price: $ 4950
- TOC Available:
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Large Language Model (LLM) Market by Type (Domain-specific (Zero-shot, One-shot, Few-shot), General-purpose, Multilingual), Model Architecture (Autoregressive Language Models, Autoencoding Language Models, Hybrid Language Models) - Global Forecast to 2030
The Large Language Model (LLM) market size is projected to reach USD 36.1 billion by 2030, reflecting a substantial CAGR of 33.2% over the forecast period. Some major players in the large language model market include Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China).
- Published: March 2024
- Price: $ 4950
- TOC Available:
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Vector Database Market By Vector Database Solution (Vector Generation & Indexing, Vector Search & Query Processing, Vector Storage & Retrieval), AI Language Processing, Computer Vision, Recommendation Systems - Global Forecast to 2030
The vector database market is expected to grow from USD 2,652.1 million in 2025 to USD 8,945.7 million by 2030, at a compound annual growth rate (CAGR) of 27.5% during the forecast period. The Key Players Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud(US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US), Marqo.ai (US), ActiveLoop (US), Supabase (US), Jina AI (Germany), Typesense (US), Weaviate (Netherlands), GSI Technology (US), Kinetica (US), Qdrant (Germany), ClickHouse (US), OpenSearch (US), Vespa.ai (Norway), and LanceDB (US).
- Published: December 2025
- Price: $ 4950
- TOC Available:
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Human in the Loop Market by Type (Interactive HITL, Semi-Automated HITL, Real-Time HITL), Application (Data Labeling, Content Moderation, Anomaly Detection), Technology (Natural Language Processing , Computer Vision) & Geography (2024 - 2030)
The major players in the global Human in the Loop Market
- Published: November 2026
- Price: $ 4950
- TOC Available:
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Industrial Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Computer Vision, Context Awareness, and Natural Language Processing), Application, Industry, and Geography - Global Forecast to 2023
The industrial Artificial Intelligence (AI) market is witnessing significant growth because of the extensive usage of big data, industrial robots, and Internet of Things (IoT). AI-based solutions are adopted in manufacturing facilities to improve the productivity by maximizing asset utilization, minimizing downtime, and improving machine efficiency. Moreover, industrial AI is expected to enhance productivity through quality control by detecting defects and help in the predictive maintenance of factory machinery. The Industrial AI market was valued at USD 272.5 Million in 2016 and is expected to reach USD 4,882.9 Million by 2023, growing at a CAGR of 52.42% between 2017 and 2023.
- Published: November 2026
- Price: $ 4950
- TOC Available:
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North America Data Center GPU Market by Deployment (Cloud, On-premises), Function (Training, Inference), Application (Generative AI, Machine Learning, Natural Language Processing), End User (CSP, Enterprises), & Country - Forecast to 2030
The North Americ ata center GPU market is projected to reach USD 79.81 billion by 2030 from USD 43.19 billion in 2025, at a CAGR of 13.1% during the forecast period. The Key Players NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), and other ecosystem players include Google Cloud (US), Microsoft (US), Amazon Web Services, Inc. (US), IBM (US), Oracle (US), Tencent Cloud (China), CoreWeave (US), Vast.ai (US), Lambda (US), and DigitalOcean (US)
- Published: October 2026
- Price: $ 4950
- TOC Available:
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Augmented Intelligence Market by Component, Technology (Machine Learning, Natural Language Processing, and Computer Vision), Organization Size, Deployment Mode, Vertical and Region - Global Forecast to 2027
The Augmented intelligence market size is projected to reach USD 54.7 billion in 2027, at a Compound Annual Growth Rate (CAGR) of 25.1% during the forecast period. The major vendors in the global Augmented Intelligence market include AWS (US), Microsoft (US), Salesforce (US), SAP (Germany), IBM (US), SAS (US), CognitiveScale (US), QlikTech International AB (US), TIBCO (US), Google (US), MicroStrategy (US), Sisense (US), NEORIS (US), Dataiku (US), Cosmo Tech (France), Jumio (US), Lucidworks (US), Squirro AG (US), DataRobot (US), Tellius (US), EazyML (US), Stradigi AI (US), Aible (US), Pecan.ai (Israel), CausaLens (US), BioXplor (US), Pryon (US), Augmented Intelligence (US), Bondi Labs (Australia), and binah.ai (US).
- Published: April 2022
- Price: $ 4950
- TOC Available:
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Neuromorphic Computing Market by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030
The neuromorphic computing market is expected to grow from USD 28.5 million in 2024 to USD 1,325.2 million by 2030, at a compound annual growth rate (CAGR) of 89.7% during the forecast period.The key players Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US).
- Published: February 2025
- Price: $ 4950
- TOC Available:
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