Here are relevant reports on : ai-in-data-quality-market
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AI Orchestration Market by Offering (Agent Orchestration Platforms, Model Serving Tools, Agent Builders, Data Orchestration Platforms), Deployment Model (SaaS, Air-gapped), Application (ITSM, Marketing Automation, Field Services) - Global Forecast to 2030
The global AI orchestration market size is projected to reach USD 30.23 billion by 2030 from USD 11.02 billion in 2025, at a CAGR of 22.3% during the forecast period. The major players in the AI orchestration market include IBM (US), AWS (US), Salesforce (US), Adobe (US), Microsoft (US), SAP (Germany), Google (US), Coforge (India), ServiceNow (US), and UiPath (US).
- Published: October 2025
- Price: $ 4950
- TOC Available:
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Composite AI Market by Offering (Software, Hardware, Services), Technique (Data Processing, Pattern Recognition), Application (Product Design & Development, Customer Service), Vertical and Region - Global Forecast to 2028
The composite AI market is projected to reach USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Major vendors in the global composite AI market are IBM (US), SAS Institute (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), BlackSwan Technologies (Israel), Oracle (US), OpenText (Canada), SAP (Germany), HPE (US), Pega (US), NVIDIA (US), Intel (US), UiPath (US), Zest AI (US), Dynamic Yield(US), DataRobot(US), H2O.ai(US), Squirro(Switzerland), CognitiveScale(US), SparkCognition (US), Diwo(US), ACTICO (Germany), Kyndi(US), Nauto(US), Netra(US), and Exponential AI (US).
- Published: May 2023
- Price: $ 4950
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Data Quality Tools Market by Data Type (Customer Data, Product Data, Financial Data, Compliance Data, and Supplier Data), Component (Software and Services), Business Function, Deployment Model, Organization Size, Vertical - Global Forecast to 2022
The data quality tools market size is expected to grow from USD 610.2 Million in 2017 to USD 1,376.7 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 17.7%. The major data quality tools vendors include Experian Data Quality (Experian Plc) (US), Informatica (US), Information Builders, IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), Pitney Bowes Inc. (US), SAP SE (Germany), SAS Institute Inc. (US), Syncsort (US), Talend (US), Trianz (US), and Tamr (US).
- Published: July 2017
- 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 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
- TOC Available:
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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: September 2026
- Price: $ 4950
- TOC Available:
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AI Security Operations Center (SOC) Market by Software Platform (AI-native SOC, AI SOC Agents, Security Data Platforms), Services (AI-augmented MDR, AI SOC-as-a-Service, Incident Response & Forensics), Application, Vertical - Global Forecast to 2031
The AI Security Operations Center (SOC) market is projected to grow from USD 18.10 billion in 2026 to USD 47.07 billion by 2031 at a CAGR of 21.1% during the forecast period. Microsoft (US), Cisco (US), CrowdStrike (US), Palo Alto Networks (US), Google (US), Sophos (US), IBM (US), Fortinet (US), Arctic Wolf (US), Elastic (Netherlands), Rapid7 (US), SentinelOne (US), Lumu Technologies (US), ReliaQuest (US), Exabeam (US), eSentire (Canada), Expel (US), Huntress (US), UnderDefense (US), Stellar Cyber (US), Radiant Security (US), Torq (US), Intezer (US), Conifers.AI (US), Dropzone AI (US), Simbian (US), Prophet Security (US), Legion Security (US), CyberSilo (US), Bricklayer AI (US), Augur (US), BlinkOps (US), Gruve (US), Swimlane (US), CyberNX (India), Anvilogic (US), AIStrike (US), D3 Security (Canada), Exaforce (US), Riversafe (UK), SOC Jedi.AI (US), and Vulnuris (India) are the key players and other major players in the AI SOC market.
- Published: July 2026
- Price: $ 4950
- TOC Available:
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Data Integration Market by Software (Data Integration Platforms, iPaaS, Streaming Integration Tools), Data Type (Structured, Unstructured, Semi-structured), Application (Data Warehousing & BI, Data Lakes & Big Data Management) - Global Forecast to 2030
The data integration market is projected to grow from USD 17.58 billion in 2025 to USD 33.24 billion by 2030, at a CAGR of 13.6% during the forecast period. The major players in the data integration market include IBM (US), SAP (Germany), Oracle (US), Microsoft (US), Google (US), SAS Institute (US), AWS (US), Salesforce (US), Informatica (US), Precisely (US), Tibco (US), Qlik (US), Boomi (US), Fivetran (US), Palantir Technologies (US), Workato (US), Alteryx (US), Huawei (China), Talend (US), Confluent (US), Denodo (US), Snaplogic (US), Jitterbit (US), Actian (US), Celigo (US), DCKAP (US), Safe Software (Canada), Matillion (UK), K2view (Israel), Nexla (US), Exalate (Belgium), Integrately (India), Lonti (Australia), Devart (US), Tray.io (US), Hevo Data (US), Semarchy (France), CData Software (US), Dremio (US), Striim (US), Prophecy (US), Zigiwave (Bulgaria), Adeptia (US), Zapier (US), Frends (Finland), and AB Initio Software (US).
- Published: June 2025
- Price: $ 4950
- TOC Available:
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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
- TOC Available:
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Data Migration Market by Data Type (Customer Data, Financial Data, Product Data), Business Function (Marketing, Sales, Finance), Component, Deployment, Organization Size, Industry Vertical, and Region - Global Forecast to 2022
The data migration market size is expected to grow from USD 5.14 Billion in 2017 to USD 11.49 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period. The key forces driving the data migration market include increasing business data volume, evolving regulatory landscape, and need to maintain legacy data. The vendors providing data migration software and services include IBM (US), Oracle (US), AWS (US), Microsoft (US), SAS Institute (US), SAP (Germany), Informatica (US), Information Builders (US), Talend (US), Attunity (US), Scribe Software (US), and Syncsort (US).
- Published: November 2017
- Price: $ 4950
- TOC Available:
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