Here are relevant reports on : ai-translation-services-market
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Stroke AI Market by Offering (Software, [AI], Services), Classification (ICD, CPT, HCPCS), Specialty (Surgical, Radiology), Function (Code, Assignment, Reimbursement, Analytics, Denial, Audit), End User (Hospital, ASC, Payers) - Global Forecast to 2030
The global stroke AI market, valued at US$0.22 billion in 2024, stood at US$0.32 billion in 2025 and is projected to advance at a resilient CAGR of 38.4% from 2025 to 2030, culminating in a forecasted valuation of US$1.60 billion by the end of the period. The stroke AI market is growing steadily, driven by the need for faster stroke detection, improved clinical decision-making, and reduced time-to-treatment. Increasing adoption of AI-enabled CT and MRI analysis for stroke triage, coupled with rising stroke incidence, aging populations, and hospital digitization, is accelerating demand.
- Published: December 2026
- Price: $ 4950
- TOC Available:
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Shadow AI Risk & Governance Market by Solution (Shadow AI Discovery & Visibility, AI Governance & Policy Management, AI Data Protection & Security Controls, AI Access & Agent Governance), Service (Professional, Managed) - Global Forecast to 2032
The shadow AI risk & governance market is projected to grow from USD 1.39 billion in 2026 to USD 8.64 billion by 2032 at a CAGR of 35.6% during the forecast period. Palo Alto Networks (US), Microsoft (US), Zscaler (US), Netskope (US), Cisco (US), IBM (US), ServiceNow (US), OneTrust (US), Forcepoint (US), Proofpoint (US), Credo AI (US), Holistic AI (UK), Mindgard (US), Cranium AI (US), NeuralTrust (Spain), ModelOp (US), Monitaur (US), Saidot (Finland), Relyance AI (US), Truyo (US), Airia (US), Trustible (US), HiddenLayer (US), Check Point (Israel), AI Shadow (US), Zenity (US), Noma Security (Israel), and Harmonic Security (US) are the key players and other major players in the shadow AI risk & governance market.
- Published: September 2026
- Price: $ 4950
- TOC Available:
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Generative AI Cybersecurity Market by Generative AI-based Cybersecurity (SIEM, Risk Assessment, Threat Intelligence), Cybersecurity Software for Generative AI (AI Model Security), Security Type (Data Encryption, Access Control) - Global Forecast to 2031
The generative AI cybersecurity market is undergoing rapid expansion, with estimates projecting a substantial market value surge from USD 8.65 billion in 2025 to USD 35.50 billion by 2031, at a CAGR of 26.5% during the forecast period. Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), NeuralTrust (Spain), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US) are leading plaryes in generative AI cybersecurity market
- Published: August 2025
- Price: $ 4950
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Natural Language Understanding (NLU) Market by Type (Rule-Based, Statistical, Hybrid), Application (Customer Experience Management, Chatbots & Virtual Assistants, Text Analysis, Sentiment Analysis, Machine Translation) – Global Forecast to 2029
The global market for the natural language understanding (NLU) market is projected to reach USD 62.9 billion in 2029, at a CAGR of 26.8% during the forecast period. The major NLU solutions and service providers Microsoft (US), Google (US), IBM (US), AWS (US), Meta (US), SAS Institute, Oracle (US), Salesforce (US), OpenAI (US), SoundHound AI (US), IQVIA (US), LivePerson (US), Haptik (India), Kapiche (Australia), Rasa (US), MindMeld (US), Hugging Face (US), Conversica (US), Expert.ai (Italy), Verbio Technologies (Spain), Wolfram (US), Cortical.io (Austria), Omilia (Cyprus), Cognigy (Germany), Plasticity (US), Afforai (US), Tune AI (US), Vebrit.ai (US), Synthesys (UK), Picovoice (Canada), Symbl.ai (US), Tisane Labs (Singapore), Prosa.ai (Indonesia), Abacus.AI (US), Forethought (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the NLU market.
- Published: July 2024
- Price: $ 4950
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Natural Language Processing (NLP) Market by Offering (NLP Platforms, NLP APIs, Integrated NLP Solutions), Capability (NLU, NLG, Machine Translation), Application (Customer Experience & Support, Document Process Automation) - Global Forecast to 2031
The global natural language processing market size will grow to USD 216.89 billion by 2031 from USD 69.13 billion in 2026, at a CAGR of 25.7% during the forecast period. The key players include Microsoft (US), Google (US), AWS (US), OpenAI (US), Anthropic (US), Cerence AI (US), ABBYY (US), Kore.ai (US), John Snow Labs (US), and Soundhound AI (US), among others.
- Published: June 2026
- 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: November 2026
- 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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Multimodal AI Market by Offering (Solutions & Services), Data Modality (Image, Audio), Technology (ML, NLP, Computer Vision, Context Awareness, IoT), Type (Generative, Translative, Explanatory, Interactive), Vertical and Region - Global Forecast to 2028
The global market for multimodal AI market is projected to reach USD 4.5 billion by 2028, at a CAGR of 35.0% during the forecast period. The major multimodal AI and service providers include Google (US), Microsoft (US), OpenAI (US), Meta (US), AWS (US), IBM (US), Twelve Labs (US), Aimesoft (US), Jina AI (Germany), Uniphore (US), Reka AI (US), Runway (US), Jiva.ai (UK), Vidrovr (US), Mobius Labs (US), Newsbridge (France), OpenStream.ai (US), Habana Labs (US), Modality.AI (US), Perceiv AI (Canada), Multimodal (US), Neuraptic AI (Spain), Inworld AI (US), Aiberry (US), One AI (US), Beewant (France), Owlbot.AI (US), Hoppr (US), Archetype AI (US), Stability AI (England). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the multimodal AI market.
- Published: November 2023
- Price: $ 4950
- TOC Available:
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AI in Oil & Gas Market by Type (Hardware, Software, Services), Application (Upstream, Midstream, Downstream), Function (Predictive Maintenance, Production Planning, Field Service, Material Movement, Quality Control), and Region - Global Forecast to 2022
The global AI in Oil & Gas market is expected to grow at a CAGR of 12.66%, from 2017 to 2022, to reach a projected USD 2.85 Billion by 2022. The growth will be mainly driven by the rise in adoption of the big data technology, digitalization of the Oil & Gas industry, investments in AI-related start-ups, and rising pressure to reduce production costs and increase efficiency. To enable an in-depth understanding of the competitive landscape, the report includes the profiles of some of the top players in AI in the Oil & Gas market. They are IBM (US), Accenture (Republic of Ireland), Google (US), Microsoft Corporation (US), and Oracle (US). These players adopted various strategies such as new product launches, contracts & agreements, and investments and expansions, to increase their global presence and market share.
- Published: December 2017
- Price: $ 4950
- TOC Available:
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