Here are relevant reports on : ai-nlp-financial-services-market
-
AIoT Market by Platform (IoT Device Management, IoT Application Enablement Platforms, IoT Connectivity Management, IoT Cloud, IoT Advanced Analytics), Technology (Machine Learning, NLP, Computer Vision, Context Aware AI) - Global Forecast to 2030
The AIoT market is projected to grow from USD 25.44 billion in 2025 to USD 81.04 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 26.1% during the forecast period. The major vendors covered in the AIoT market include IBM (US), Cisco (US), AWS (US), Google (US), Microsoft (US), Oracle (US), HPE (US), Intel (US), Hitachi (Japan), and SAP (Germany).
- Published: November 2025
- Price: $ 4950
- TOC Available:
-
US Artificial Intelligence in Manufacturing Market By Processor (MPUs, GPUs, FPGAs, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, Generative AI), Application - Forecast to 2030
The US artificial intelligence in manufacturing market was valued at USD 12.20 billion in 2025 and is projected to reach USD 52.31 billion by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 32.3% from 2026 to 2030. The key players in the US artificial intelligence in manufacturing market include NVIDIA Corporation (US), IBM (US), Siemens (Germany), ABB (Switzerland), Honeywell International Inc. (US), GE Vernova (US), among others.
- Published: May 2026
- Price: $ 4950
- TOC Available:
-
AI in Precision Medicine Market by Application (Drug Discovery, Screening, Diagnosis, Stratification, Staging, Prognosis, Therapy Selection, Monitoring, Risk Management), Indication (Cancer, CNS, CVS), Tools (ML, NLP), & End User -Global Forecast to 2030
The global AI in Precision Medicine market, valued at US$0.60 billion in 2023, stood at US$0.78 billion in 2024 and is projected to advance at a resilient CAGR of 30.7% from 2024 to 2030, culminating in a forecasted valuation of US$3.92 billion by the end of the period. Growth in precision medicine, AI’s efficiency in drug discovery, integration of Real-World Evidence (RWE) in emerging markets to drive the market significantly.
- Published: November 2024
- Price: $ 4950
- TOC Available:
-
AI in Chemicals Market by Hardware (Accelerators, Processors, Memory, Network), Software (Dashboard & Analytics, Process Simulation, Laboratory Management, Chemical Property Prediction, Virtual Screening), Technology (ML, NLP) - Global Forecast to 2029
The global market for the AI in chemicals market is projected to reach USD 3.8 billion by 2029 at a CAGR of 39.2% during the forecast period. The major AI in chemicals providers include IBM (US), Microsoft (US), Schneider Electric (France), AWS (US), Google (US), SAP (Germany), NVIDIA (US), C3.ai (US), GE Vernova (US), Siemens (Germany), Hexagon (Sweden), Engie Impact (US), TrendMiner (Belgium), Xylem (US), NobleAI (US), Iktos (France), Kebotix (US), Uptime AI (US), Canvass AI (Canada), Nexocode (Poland), SandboxAQ (US), Deepmatter (England), Zapata AI (US), Citirne Informatics (US), Chemical.AI (China), Augury (Israel), Intellegens (UK), Ripik.AI (India), Tractian (US), Polymerize (Singapore), ScienceDesk (Germany), OptiSol Business Solutions (India), NuWater (Africa) and VROC (Australia). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI in chemicals market.
- Published: May 2024
- Price: $ 4950
- TOC Available:
-
AI in Finance Market by Product (Algorithmic Trading, Virtual Assistants, Robo-Advisors, GRC, IDP, Underwriting Tools), Technology, Application (Fraud Detection, Risk Management, Trend Analysis, Financial Planning, Forecasting) - Global Forecast to 2030
The AI in finance market size is projected to reach USD 190.33 billion by 2030, at a CAGR of 30.6% during the forecast period. Some major players in the AI in Finance Market include FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US), HighRadius (US), AWS (US), SAP (Germany), HPE (US), Oracle (US), Intel (US), NVIDIA (US), Salesforce (US), DataRobot (US), Enova International (US), AlphaSense (US), NetApp (US), Ocrolus (US), Vectra AI (US), Teradata (US), Pega (US), Vena Insights (US), Affirm (US), Symphony AI (US), Envestnet Yodlee (US), Addepto (Poland), Deeper Insights (UK), H2O.ai (US), App0 (US), Underwrite.ai (US), Deepgram (US), Emagia (US), InData Labs (US), Zest AI (US), Scienaptic AI (US), Gradient AI (US), Kasisto (US), Trumid (US), DataVisor (US), Kavout (US), WealthBlock (US).
- Published: February 2025
- Price: $ 4950
- TOC Available:
-
Financial Analytics Market by Solution (Financial Functions Analytics and Financial Market Analytics), Application (Wealth Management, Transaction Monitoring, and Customer Management), and Industry Vertical - Global Forecast to 2023
The global market size of the financial analytics market is expected to grow from USD 6.9 billion in 2018 to USD 11.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.7% during the forecast period. The demand for financial analytics solutions is expected to have driven by the increasing demand for reducing planning and budgeting cycles, rising digital transformation, increasing use of technologies, and growing focus on improving customer experience and emphasis on cost reduction. To improve financial performance, organizations are looking for greater visibility into costs, resources, and performance. Financial analytics solutions offer improved speed and agility through automated planning, budgeting, and forecasting. The adoption of these solutions provides better insights into financial efficiency measures, operational Key Performance Indicators (KPIs), and product and customer profitability. These dynamic planning and budgeting platforms enable business users to adapt to changing budgeting and planning policies with minimal impact on budgeting timelines. Major vendors offering financial analytics solutions globally include Oracle (US), IBM (US), Teradata (US), TIBCO Software (US), SAP (Germany), SAS Institute (US), Alteryx (US), Qlik (US), FICO (US), GoodData (US), Birst (US), Google (US), Information Builders (US), Zoho Corporation (US), and Domo (US). The study includes an in-depth competitive analysis of the key players in the financial analytics market, along with their company profiles, recent developments, and key market strategies.
- Published: March 2019
- Price: $ 4950
- TOC Available:
-
Digital Twin in Finance Market by Offering (Platforms & Solutions and Services), End-use Industry (BFSI (Banking, Financial Services, and Insurance), Manufacturing, Transportation & Logistics, Healthcare), Application and Region - Global Forecast to 2028
the digital twin in finance market size is projected to reach USD 0.5 billion by 2028, at a CAGR of 34.8% during the forecast period. The major players in the digital twin in finance market are IBM (US), Microsoft (US), Capgemini (France), SAP (Germany), Ansys (US), Altair (US), NVIDIA (US), NTT Data (Japan), Oracle (US), Deloitte (UK), Verisk (US), Cosmo Tech (France), NayaOne (UK), VSOptima (US), Merlynn (US), Piprate (Ireland), and TADA (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches and product enhancements, and acquisitions to expand their footprint in the digital twin in finance market.
- Published: April 2023
- Price: $ 4950
- TOC Available:
-
Financial Services Application Market by Software (Audit, Risk & Compliance, BI & Analytics, Business Transaction Processing, Customer Experience, Enterprise IT), by Services, by Deployment, by Users & Region - Global Forecast to 2019
Financial Services have become backbone of each country throughout the global. Financial Services is an indicator about the Socio-Economic health of the country. With the growing effect of globalization, financial services application providers face an uphill task to provide the end users with applications that are compliant, risk free and data driven. Organizations need to transform themselves from traditional product based firms to “Customer In” firms. To achieve this transformation, digitization of financial services, evolution & development of consumer centric processes and concentration on core competencies is necessary. The global FSA market is segmented on the basis of five regions: North America, Europe, APAC, MEA, and Latin America. The global FSA market is provided for each region from 2014 to 2019. The global FSA market is expected to grow from $66.92 billion in 2014 to $103.66 billion to 2019, at a Compound Annual Growth Rate (CAGR) of 9.1% during the forecast period 2014-2019.
- Published: March 2015
- Price: $ 4950
- TOC Available:
-
NLP in Healthcare & Life Sciences Market by NLP Technique (OCR, NER, Sentiment Analysis), Application (Genomics & Precision Medicine, Patient Care & Engagement, Clinical Operations & Decision Support, Biomedical Research) - Global Forecast to 2030
The NLP in healthcare & life sciences market is expanding rapidly, with a projected market size anticipated to rise from about USD 5.18 billion in 2025 to USD 16.01 billion by 2030, featuring a CAGR of 25.3%. The major players in the NLP in healthcare & life sciences market include Microsoft (US), Google (US), IQVIA (US), Oracle (US), IBM (US), Lexalytics (US), Averbis (Germany), Emtelligent (Canada), Gnani.ai (India), and Deep 6 AI (US).
- Published: May 2025
- Price: $ 7150
- TOC Available:
-
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: May 2026
- Price: $ 4950
- TOC Available:
Records 21 to 30 of 50
