Here are relevant reports on : ai-big-data-education-market

• Latin America Cloud Computing Market by Service Model [IaaS (Compute, Storage, Networking), PaaS (Application Development & Integration, Database & Data Analytics & Reporting), SaaS (CRM, SCM, Collaboration & Productivity)], Impact of AI-Forecast to 2030

  The Latin America cloud computing market size is projected to reach 125.46 billion by 2030. The key players include Microsoft (US), Google (US), IBM (US), AWS (US), Oracle (US), Salesforce (US), Tencent Cloud (China), SAP (Germany), Alibaba Cloud (China), Huawei (China), EdgeUno (US), Zenlayer (US), Ascenty (Brazil), TIVIT (Brazil) and Claro Cloud (Brazil).

  • Published: July 2026
  • Price: $ 4950
  • TOC Available:

• 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: July 2026
  • Price: $ 4950
  • TOC Available:

• Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), Organization Size, Industry, and Region - Global Forecast to 2023

  The big data and data engineering services market is expected to grow from USD 34.47 billion in 2018 to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. Major growth drivers for the market include increasing volumes of unstructured data due to phenomenal growth of interconnected devices and social media, cost-effective services and cutting-edge expertise rendered by boutique data servicing companies, and an increasing need for complying with stringent regulations. The report also covers different strategies, such as acquisitions, partnerships, new product launches, and product upgradations, adopted by the major players to increase their market shares. Major technology vendors include Accenture (Ireland), Genpact (US), Cognizant (US), Infosys (India), Capgemini (France), NTT DATA (Japan), Mphasis (India), L&T Technology Services (India), Hexaware (India), Happiest Minds (India), KPMG (Netherlands), EY (UK), Tiger Analytics (US), LatentView Analytics (US), InfoStretch (US), Vensai Technologies (India), Course5 (US), Sigmoid (US), Nous Infosystems (India), Bodhtree (US), Hidden Brains InfoTech (India), Brillio (US), Franz Inc. (US), BRIDGEi2i (India), and Trianz (US).

  • Published: September 2018
  • Price: $ 4950
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• Digital Shipyard Market by Technology (AR/VR, Digital Twin, Additive Manufacturing, AI/Big Data, Automation, IIoT, Cybersecurity, Blockchain, Cloud/Master Data), Shipyard, Capacity, End Use, Process, Digitalization Level, Region - Global Forecast to 2030

  The Digital Shipyard market is expected to register USD 1.80 billion in 2025 and is projected to reach USD 4.30 billion by 2030 with a CAGR of 19.0%. Siemens, Dassault Systèmes, Accenture, SAP, and BAE Systems are the major key players in the Digital Shipyard market.

  • Published: April 2026
  • Price: $ 4950
  • TOC Available:

• Data Prep Market by Platform (Self-Service Data Prep, Data Integration), Tool (Data Curation, Data Cataloguing, Data Quality, Data Ingestion, Data Governance), Deployment, Vertical, and Region - Global Forecast to 2021

  The data prep market is estimated to grow from USD 1.46 Billion in 2016 to USD 3.93 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 25.2% during the forecast period. Data prep makes use of tools such as data curation, data cataloging, data quality, data ingestion, and data governance to create consistent data of high quality, by eliminating low quality and incorrect data which would hamper the efficient functioning of processes like analytics and data mining.

  • Published: November 2016
  • Price: $ 4950
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• AI in Sports Market by Solutions (Performance Analytics, Player Monitoring, Broadcast Management), Technology (Generative AI and Other AI), and End User (Sports Associations, Sports Teams) - Global Forecast to 2030

  The AI in Sports market is projected to reach USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% during the forecast period. The major vendors covered in the AI in Sports market are Cisco (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), Ericsson (Sweden), Oracle (US), Stats Perform (US), Tech Mahindra (India), Sportradar AG (Switzerland), HCL Technologies (India), Extreme Networks (US), Salesforce (US), SAS Institute (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 in Sports market.

  • Published: November 2024
  • Price: $ 4950
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• Legal AI Software Market by Offering (Legal AI Platforms, Generative AI Agents, Legal Drafting Tools, Report Generation Tools), Application (Ediscovery, Legal Research & Analytics, Contract Drafting & Review, IP Management) - Global Forecast to 2030

  The legal AI software market is expected to grow from USD 3.11 billion in 2025 to USD 10.82 billion by the year 2030, at a CAGR of 28.3% during the forecast period. The major players in the legal AI software market include LexisNexis (US), Thomson Reuters (Canada), Sirion (US), Wolters Kluwer (Netherlands), Relativity (US), CS DISCO (US), and Consilio (US), along with SMEs and startups such as Harvey (US), vLex (US), Lawgeex (US), Neota Logic (US), and eBrevia (US).

  • Published: February 2025
  • Price: $ 4950
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• AI Code Assistants Market by Offering (Generative AI Code Assistants, Developer Platforms, Coding APIs, Workflow Tools), Model Type (General-Purpose, Code-Specialized, Enterprise-Tuned Generative AI Models) - Global Forecast to 2032

  The AI Code Assistants market size is projected to grow from USD 8.14 billion in 2025 to USD 127.05 billion by 2032, at a CAGR of 48.1% during the forecast period. The major players in the AI code assistants market include IBM (US), Oracle (US), Microsoft (US), AWS (US), Google (US), Jetbrains (Netherlands), Replit (US), Synk (US), OpenAI (US), Anthropic (US), Datadog (US), Tabnine (Israel), Sourcegraph (US), Cursor (US), Zencoder (US), Salesforce (US), Supermaven (US), Cline (US), Sourcery AI (UK), Refact.ai (UK), AskCodi (Brazil), Augment Code (US), TabbyML (US), Qodo (Israel), and WindSurf (US).

  • Published: July 2026
  • Price: $ 4950
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• AI in Networks Market by Offering (Router & Switches, AI Networking Platform, Management Software, Software Defined Networking), Function (Optimization, Cybersecurity, Predictive Maintenance), Technology (Gen AI, ML, NLP) - Global Forecast to 2029

  The global AI in Networks market is expected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, at a compound annual growth rate (CAGR) of 33.8% during the forecast period.The key players NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).

  • Published: August 2024
  • Price: $ 4950
  • TOC Available:

• Data Mesh Market by Solutions (Data Integration & Delivery (ETL, Data Pipeline, Data Mapping and Transformation), Federated Data Governance (Metadata Management, Data Quality & Security), Data Operations, Data Transformation) - Global Forecast to 2028

  The data mesh market is projected to reach USD 2.5 billion by 2028, at a compound annual growth rate (CAGR) of 16.4% during the forecast period. Some major players in the data mesh market include IBM (US), AWS (US), SAP (Germany), Oracle (US), Informatica (US), K2view (US), Talend (US), Denodo (US), HPE (US), NetApp (US), Teradata (US), Monte Carlo (US), Radiant Logic (US), Snowflake (US), Google (US), Microsoft (US), Global IDs (US), Estuary (US), DataKitchen (US), Databricks (US), Cinchy (Canada), Intenda (Netherlands), Atacama (Canada), Alation (US), Collibra (US), Dremio (US), Starburst (US), Nexla (US), NextData (Australia), Hevo Data (US), Atlan (US), CluedIn (Denmark), Iguazio (Israel) and Alex Solutions (Australia).

  • Published: January 2024
  • Price: $ 4950
  • TOC Available:

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