Here are relevant reports on : tail-risk-hedging-market
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Federated Learning Market by Application (Drug Discovery, Industrial IoT, Risk Management), Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Automotive and Transportation, Energy and Utilities) and Region - Global Forecast to 2028
As per AS-IS scenario, the global federated learning market size is projected to reach worth $210 million by 2028, at a Compound Annual Growth Rate (CAGR) of 10.6% during the forecast period. The federated learning solutions vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global federated learning solutions market include NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel(US), Owkin(US), Intellegens(UK), Edge Delta(US), Enveil(US), Lifebit(UK), DataFleets(US), Secure AI Labs(US), and Sherpa.AI(Spain).
- Published: April 2022
- Price: $ 4950
- TOC Available:
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In-store Analytics Market by Application (Marketing Management, Customer Management, Merchandising Analysis, Store Operations Management, and Risk and Compliance Management), Component, Deployment, Organization Size, and Region - Global Forecast to 2023
The in-store analytics market size is expected to grow from USD 1.1 billion in 2018 to USD 3.2 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.5% during the forecast period. Factors such as a rise in the data volume around in-store operations increased competition from eCommerce players to bricks and mortar retail shops and need for better customer services and shopping experience are expected to drive the adoption of in-store analytics software and services. Moreover, the penetration of smartphones and the Internet, high growth potential in emerging economies, and the advent of cloud-based analytics are expected to create ample opportunities for in-store analytics solution vendors. The in-store analytics market comprises major solution providers, such as RetailNext (US), SAP (Germany), Thinkinside (Italy), Mindtree (India), Happiest Minds (India), Celect (US), Capillary Technologies (Singapore), Scanalytics (US), Inpixon (US), Retail Solutions (US), Dor Technologies (US), SEMSEYE (Lithuania), InvenSense (US), Walkbase (Finland), and Amoobi (Belgium). The study includes the in-depth competitive analysis of these key players in the in-store analytics market with their company profiles, recent developments, and key market strategies.
- Published: April 2019
- Price: $ 4950
- TOC Available:
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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:
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Customer Success Platforms Market by Component, Application (Sales and Marketing Optimization, Risk and Compliance Management, Reporting and Analytics), Deployment Mode, Organization Size, Vertical, and Region - Global Forecast to 2025
The Customer Success Platforms Market is expected to grow from USD 1.0 billion in 2020 to USD 2.5 billion by 2025, at a CAGR of 20.4% during the forecast period. Key and emerging market players include Salesforce (US), Cisco(US), HubSpot (US), Gainsight (US), Freshworks (US), Totango (US), Amity (Canada), Strikedeck (US), ChurnZero (US), SmartKarrot (US), ClientSuccess (US), Bolstra (US), UserIQ (US), Planhat (Sweden), Salesmachine (US), Catalyst (US), AppsForOps (Australia), Armatic (US), CustomerSuccessBox (US), Clientshare (UK), Wootric (US), ZoomInfo (US), Akita (Ireland), Intercom (US), WalkMe (US), and Custify (Romania).
- Published: January 2021
- Price: $ 4950
- TOC Available:
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Cognitive Analytics Market by Application (Fraud and Risk Management, Customer Analysis and Personalization, and Sales and Marketing Management), Component, Deployment Model, Organization Size, Industry, and Region - Global Forecast to 2022
The cognitive analytics market is expected to grow from USD 1.84 Billion in 2017 to USD 10.95 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 42.9% during the forecast period. The report also encompasses the different strategies, such as mergers and acquisitions, partnerships and collaborations, and product developments, adopted by the major market players to increase their shares in the market. Some of the major technology vendors include IBM (US), Amazon Web Services (US), Google (US), Microsoft (US), Oracle (US), SAS Institute (US), Intel (US), Cisco Systems (US), HPE (US), Nuance Communications (US), IPsoft (US), Narrative Science (US), Nokia (Finland), Sinequa (France), and Persado (US).
- Published: November 2017
- Price: $ 4950
- TOC Available:
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In-Memory Analytics Market by Component (Software, Services), Application (Risk Management & Fraud Detection, Sales & Marketing Optimization, and Financial Management), Deployment, Organization Size, Vertical, Region - Global Forecast to 2022
The in-memory analytics market size is expected to grow from USD 1.26 Billion in 2017 to USD 3.85 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 25.1% from 2017 to 2022. The report segments the market into components, deployment models, organization sizes, applications, verticals, and regions. The major growth drivers of the in-memory analytics market include digital transformation using real-time analytics, technological advancement in computing power, and growing trend of self-service Business Intelligence (BI) tools.
- Published: April 2017
- 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
- TOC Available:
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Security Software Market by Software (IAM, SCVM, SCTM, Encryption, Antivirus and Antimalware, and others software), by Services (Consulting, Managed Services, Risk and Assessment) - Global Forecast to 2019
Security is one of the key strategic tasks managed by IT departments throughout the globe. Organizations in general are becoming ever more reliant on technology and the Internet, with company data needing to be accessed, shared, and used more quickly by a greater diversity of employees, suppliers and customers. With the ascending growth and sophistication of security breaches in the last few years, strict compliance and unified security packages are in demand to protect the huge confidential data of government, military, public utilities, Banking, Financial Services, & Insurance (BFSI), hospitals, and other businesses. The Bring-Your-Own-Device trend (BYOD) and evolving IT security threats are driving the strong growth in the security software market. Spending on security software is also influenced by the evolution of new threats and working practices. Growing demand for remote access requires organizations to safeguard off-premises applications and data, as well as an array of new client devices. In addition, the rapid adoption of virtualization in the Small and Medium Business (SMB) market is driving the interest in security solutions targeting virtual environments.
- Published: January 2026
- Price: $ 4950
- TOC Available:
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Risk-based Authentication Market by Component, Technology Type (MFA, Behavioral Biometrics, Web Access Management), Application Area (Fraud Prevention, IoT Security), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2023
MarketsandMarkets expects the global risk-based authentication market size to grow from USD 2.19 billion in 2018 to USD 5.41 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.8% during the forecast period. Major vendors in the risk-based authentication market include IBM (US), CA Technologies (US), Micro Focus (UK), Okta (US), Gemalto (Netherlands), OneSpan (VASCO Data Security; US), SecureAuth (US), RSA Security (US), ForgeRock (US), Entrust Datacard (US), Ping Identity (US), LexisNexis (US), OneLogin (US), GURUCUL (US), Centrify (US), Equifax (US), Crossmatch (US), BioCatch (Israel), Oracle (US), Evidian (France), Identity Automation (US), NoPassword (US), Silverfort (Israel), iovation (US), and EZMCOM (US).
- Published: October 2018
- Price: $ 4950
- TOC Available:
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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:
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