Here are relevant reports on : weather-analytics-market
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Advanced Analytics Market by Offering (Agentic (Copilots, Assistants, Autonomous Analytics Agents), Augmented (Insight Discovery, Automation, Orchestration), Predictive, Prescriptive), Delivery Mode (Cloud & Lakehouse, Edge) - Global Forecast to 2031
The advanced analytics market is projected to grow from USD 97.17 billion in 2026 to USD 193.23 billion by 2031, at a CAGR of 14.7% during the forecast period. IBM (US), Microsoft (US), Google (US), Palantir (US), Oracle (US), SAS Institute (US), SAP (Germany), Adobe (US), Zoho (India), Sisense (US), Workday (US), Infor (US), Epic Systems (US), Savant Labs (US), AWS (US), Mu Sigma (US), and other vendors.
- Published: February 2026
- Price: $ 4950
- TOC Available:
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Transportation Systems and Analytics Market [by Transportation Management, Transportation Control Systems, by Analytics (Traffic, Video, GIS, Predictive, Fleet), Ticketing Management, Remote Sensing, Electronic Access, Display] - Worldwide Market Forecasts and Analysis (2013 - 2018)
Globalization, hyper-population, and demand for high travel convenience have created the need for efficient transportation system. The increasing use of analytics and advanced transportation control system along with the system integrators are helping to get rid of various problems associated with transportation system.
- Published: December 2013
- Price: $ 4950
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Energy and Utilities Analytics Market by Application (Outage Prediction, Predictive Maintenance, Carbon Accounting, Grid Reliability, Sustainability Analytics), End User (Power, Water & Waste Utilities, Renewable Energy Operators) - Global Forecast to 2031
The energy and utilities analytics market is expanding rapidly, with a projected market size rising from about USD 6.10 billion in 2026 to USD 10.10 billion by 2031, for a CAGR of 10.6%. Some of the key players operating in the energy and utilities analytics market are IBM (US), SAP (Germany), SAS (US), Oracle (US), Microsoft (US), Amazon Web Services (US), Google (US), Teradata (US), Snowflake (US), Siemens (Germany), Schneider Electric (France), ABB (Switzerland), and GE Digital (US).
- Published: June 2026
- Price: $ 4950
- TOC Available:
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Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019)
Today, large enterprises as well as the Small and Medium businesses (SMBs) rely largely on the digital data gathered through their web portals. This is because of the rising need of the digital marketers, advertisers and publishers to segment their premium buyers from other customers, track the overall website visitor traffic, manage ad campaigns and improve the complete website performance. Website analytics solutions cater to all these requirements and help the enterprises in reforming their business strategies and add to the online sales.
- Published: June 2014
- Price: $ 4950
- TOC Available:
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AI in Fintech Market by Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Global forecast to 2022
The AI in Fintech market size is expected to grow from USD 959.3 Million in 2016 to USD 7,305.6 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4%. The AI in Fintech market report encompasses the competitive landscape, which presents the positioning of the 25 key AI in Fintech vendors, based on their product offerings and business strategies. Some of the major vendors are Microsoft (Washington, US), Google (California, US), Salesforce.com (California, US), IBM (New York, US), Intel (California, US), Amazon Web Services (Washington, US), Inbenta Technologies (California, US), IPsoft (New York, US), Nuance Communications (Massachusetts, US), and ComplyAdvantage.com (New York, US).
- Published: September 2017
- Price: $ 4950
- TOC Available:
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Edge Analytics Market by Component (Solutions and Services), Analytics Type, Business Application (Marketing, Sales, Operations, Finance, and Human Resources), Deployment, Vertical, and Region - Global Forecast to 2021
The edge analytics market is estimated to grow from USD 1.94 Billion in 2016 to USD 7.96 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 32.6%. Advent of Internet of Things (IoT) & proliferation of massive amount of data through connected devices, and predictive & real-time intelligence on network devices acts as a catalyst to the growing adoption of edge analytics solutions and services.
- Published: October 2016
- Price: $ 4950
- TOC Available:
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Investigative Analytics Market - Global Forecast to 2029
The investigative analytics market is expected to experience rapid growth during the forecast period of 2024 to 2029, driven by a strong compound annual growth rate (CAGR) of XX%. The expansion of the investigative analytics market is driven by various factors associated with the rising intricacy of data and the need for improved decision-making.
- Published: July 2026
- Price: $ 4950
- TOC Available:
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COVID-19 Impact on Analytics Market by Components, Verticals and Region - Global Forecast to 2021
The COVID-19 impact on the global analytics market size is expected to grow USD 33.8 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 15.5% during the forecast period. The report includes the study of the key players offering analytics solutions and services. Major vendors in the global analytics market include Microsoft (US), Teradata (US), IBM (US), Oracle (US), SAS Institute (US), Google (US), Adobe (US), Talend (US), Qlik (US), TIBCO Software (US), Alteryx (US), Sisense (US), Informatica (US), Splunk (US), Hitachi Vantara (US), Information Builders (US), AWS (US), SAP (Germany), Salesforce (US), Micro Focus (UK), MicroStrategy (US), Gorilla Technology (US), and ThoughtSpot (US).
- Published: April 2020
- Price: $ 4950
- TOC Available:
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Vendor Comparison in IoT Analytics – 2017 : MnM DIVE Matrix
In the business world today, the volume of data is increasing at a tremendous pace considering the rise in adoption of IoT devices and appliances. Companies are using various data sources related to IoT such as sensors, mobile devices, Radio-Frequency Identification (RFID), and Global Positioning System (GPS) to collect intelligence on events as soon as they occur. Traditional business analytics platforms cannot keep pace with such a dynamic data, which is higher in volume and variety. IoT Analytics helps companies in manipulating real-time business events and dynamic data, analyzing them, reacting as and when they occur, and making IoT and its raw data even more useful for the companies in coming up with the most strategic goals.
- Published: March 2017
- Price: $ 4950
- TOC Available:
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Vendor Comparison in Predictive Analytics, 2016 – MnM DIVE Matrix
In today’s data driven world, one of the biggest challenges for the companies is to manage the rapidly generating, voluminous data. Along with this, the ever-increasing business demand for maximum flexibility of resources and the inevitable advancement of big data are encouraging the enterprises to adopt the predictive analytics model. It empowers an organization to identify untapped opportunities and expose hidden risks buried inside enormous amounts of data. With the availability of predictive insights to everyone in the organization, organizations are empowered to make the right choices at the right time and shape their future in a positive way.
- Published: April 2016
- Price: $ 4950
- TOC Available:
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