Here are relevant reports on : predictive-analytics-finance

• Customer Data Platform Market by Offering (Campaign, Analytics, Composable, Real-Time CDP), Data Type (First-Party Data, Zero-Party Data), Application (Propensity Modeling, Predictive Analytics, Audience Segmentation) - Global Forecast to 2030

  The customer data platform market is experiencing substantial growth, with the global market size expected to increase from around USD 9.72 billion in 2025 to USD 37.11 billion by 2030, registering a CAGR of 30.7%. The major players in the customer data platform market include Oracle (US), SAP (Germany), Adobe (US), Salesforce (US), Twilio (US), Microsoft (US), SAS Institute (US), Teradata (US), Cloudera (US), Nice (Israel), Dun & Bradstreet (US), Leadspace (US), Upland Software (US), CaliberMind (US), and Tealium (US).

  • Published: July 2025
  • Price: $ 4950
  • TOC Available:

• Multichannel Analytics Market by Solution (Query & Reporting, Multidimensional Analysis, Visualization, Data Mining and Predictive Analytics) & by Services (Professional Services, Support & Maintenance)- Worldwide Forecasts & Analysis (2014 – 2019)

  The multichannel analytics market is expected to grow from $3.61 billion in 2014 to $9.89 billion by 2019 at a Compound Annual Growth Rate (CAGR) of 22.3% from 2014 to 2019. The multichannel analytics solutions collect different data generated from various channels and correlate it to give useful analysis. It is acknowledged as one of the most powerful tools that drives sales and profitability. The customers today have various channels to purchase which makes it necessary for vendors to create content more relevant to interact the customers at all the sources.

  • Published: August 2014
  • Price: $ 4950
  • TOC Available:

• Machine Learning as a Service (MLaaS) Market by Component (Software Tools, Services), Organization Size, Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, Network Analytics), Service and Region - Global Forecast to 2021

  The Machine Learning as a Service (MLaaS) market size is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 43.7% from 2016 to 2021. The main driving factors for the growth of the market are adoption of cloud-based technologies and advancements in technologies.

  • Published: November 2016
  • Price: $ 4950
  • TOC Available:

• Life Science Analytics Market by Type (Descriptive, Prescriptive, Predictive), by Service (Analytics), Application (Drug Discovery, Trials, RWE, Access, Sales & Marketing, Drug Safety), End User (Pharma, Medical Device) & Region - Global Forecast to 2030

  Global life science analytics market valued at $35.69B in 2024, reached $40.03B in 2025, and is projected to grow at a robust 11.4% CAGR, hitting $68.81B by 2030. Emerging technologies like artificial intelligence (AI), quantum computing, and cognitive computing play a vital role in transforming large volumes of raw data into actionable insights.

  • Published: May 2025
  • Price: $ 4950
  • TOC Available:

• Workforce Management Market by Solution Type (Core WFM, Workforce Optimization & Analytics, Workforce Intelligence & Strategy), Business Functions (HR/People Function, Operation/Frontline Leaders, Finance & Payroll, IT/Security) - Global Forecast 2030

  The global workforce management market is projected to reach USD 15.67 billion by 2030 from USD 9.57 billion in 2025, at a CAGR of 10.4%. The major players in the workforce management market include ADP (US), UKG (US), Oracle (US), Workday (US), SAP (Germany), Dayforce (US), NiCE (US), Infor (US), ATOSS Software (Germany), and Verint (US).

  • Published: December 2025
  • Price: $ 4950
  • TOC Available:

• Dark Analytics Market by Component (Solutions, Services), Deployment Mode (Cloud, On-premises), Business Application (Marketing, Operations, Finance, Human Resources), Vertical (BFSI, Healthcare), and Region - Global Forecast to 2023

  The dark analytics market is expected to grow from USD 278.3 million in 2018 to USD 867.7 million by 2023, at a CAGR of 25.5% from 2018 to 2023. The dark analytics market is projected to witness significant growth during the forecast period, majorly driven by the rapid increase in data generated by organizations, the adoption of artificial intelligence, and machine learning technologies for dark data analysis, and increase in the deployment of dark analytics solutions. Increasing investments in dark analytics technology by SMEs is one of the opportunities for growth in the dark analytics market. Dark analytics helps organizations in managing campaigns, making quick decisions, analyzing markets, and deriving customer insights. Dark analytics empowers the decision-making process of SMEs and enable them to easily identify existing and future business risks. The major vendors covered in the dark analytics market include IBM (US), SAP (Germany), Amazon Web Services (US), Micro Focus (UK), Dell EMC (US), Microsoft (US), AvePoint (US), Teradata (US), Symantec (US), Datameer (US), IRI (US), SAS (US), Commvault (US), Veritas (US), Cohesity (US), Datumize (Spain), SynerScope (Netherlands), Komprise (US), Lattice (US), Quantta Analytics (India), Zoomdata (US), Formcept (India), Globanet (US), Esdebe Consultancy (UK), and Levi, Ray & Shoup (US).

  • Published: July 2018
  • Price: $ 4950
  • TOC Available:

• Operational Analytics Market by Type (Software, Services), Business Function (IT, Marketing, Sales, Finance, HR), Deployment Models (On-Premises, On-Demand), Application, Industry Vertical, and Region - Global Forecast to 2021

  The operational analytics market size is expected to grow from USD 4.65 Billion in 2016 to USD 10.93 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 18.6% during the forecast period. The major growth drivers of the operational analytics market include data explosion due to emergence of IoT-enabled devices, increasing need for process & operations optimization & control, adoption of advanced data management strategies, and increasing focus on market & competitive intelligence.

  • Published: December 2016
  • Price: $ 4950
  • TOC Available:

• Healthcare Fraud Analytics Market by Solution Type (Descriptive, Predictive, Prescriptive), Application (Insurance Claim, Payment Integrity), Delivery (On-premise, Cloud), End User (Government, Employers, Payers) & Region - Global Forecast to 2026

  The global healthcare fraud analytics market growth is primed to transition from $1.5 billion in 2021 to $5.0 billion by 2026, showcasing a strong CAGR of 26.7%. The market is driven by the rise in fraudulent healthcare activities, an increasing number of patients seeking health insurance, and the rising number of pharmacy claims-related frauds.

  • Published: October 2021
  • Price: $ 4950
  • TOC Available:

• Digital Railway Market by Solution (Remote Optimization & Scheduling, Remote Monitoring, Analytics, Network Management, Predictive Maintenance, Security), Application (Rail Operation Management, PIS, Asset Management) - Global Forecast to 2031

  The digital railway market is projected to reach USD 136.49 billion by 2031, from USD 90.98 billion in 2026, with a CAGR of 8.5%. The Key Players Siemens (Germany), Cisco (US), Hitachi (Japan), Wabtec (US), Alstom (France), IBM (US), ABB (Switzerland), Huawei (China), Fujitsu (Japan), DXC (US), Honeywell (US), Indra (Spain), Nokia (Finland), Atkins (UK), Toshiba (Japan), Televic (Belgium), Advantech (Taiwan), ZEDAS (Germany), R2P (Germany), Simpleway (Czech Republic), Tego (US), Passio Technologies (US), Delphisonic (US), Konux (Germany), Machines With Vision (UK), EKE-Electronics (Finland), Aitek S.P.A. (Italy), CloudMoyo (US), and RailTel (India).

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

• 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:

• FIRST
• PREVIOUS
• NEXT
• LAST

Records 21 to 30 of 50