Artificial Intelligence
Worldwide Data Center Accelerator Industry to 2026 – Increasing Deployment of AI in HPC Data Centers is Driving Growth
Dublin, Feb. 26, 2021 (GLOBE NEWSWIRE) — The “Data Center Accelerator Market – Growth, Trends, COVID-19 Impact, and Forecasts (2021 – 2026)” report has been added to ResearchAndMarkets.com’s offering.
The Global Data Center Accelerator Market was valued at USD 6.59 billion in 2020, and it is expected to reach a value of USD 14.75 billion by 2026, registering a CAGR of 14.98% over the forecast period 2021-2026.
The COVID-19 pandemic has posed additional stress on the overall economy across sectors. It has also shifted focus towards a digital economy. Alibaba Cloud, China’s top cloud computing provider, is investing billions in building next-generation data centers to support digital transformation needs in a “post-pandemic world. In April 2020, Alibaba Cloud announced that over the next three years, it would invest RMB 200 billion in core technologies and future-oriented data centers.
From scientific discoveries to artificial intelligence (AI), modern data centers are crucial to solving some of the world’s most critical challenges. These advanced data centers are transforming to increase networking bandwidth and optimize workloads like artificial intelligence. Datacenter administrators also expect the lower total cost of ownership, lower power, and new services.
Accelerators enable customers to meet these demands. They are designed to solve customer problems, high-performance, and hardware-based acceleration with excellent cost and power efficiency. For instance, the NVIDIA Volta recently accelerated its computing platform, giving these modern data centers the power to accelerate machine learning, deep learning, and high-performance computing workloads.
As businesses are increasingly applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings, enterprises are implementing machine learning applications, such as image and voice recognition, CPUs, and GPUs. They are being relied on more for faster training real-time inference. This is because these advanced processors can work for the increased network bandwidths created by the AI and ML workloads.
From machine learning inference, video transcoding, and data analytics to computational storage, electronic trading, and financial risk modeling, enterprises are actively looking for programmability, flexibility, and high throughput and low latency performance advantages to any server deployment.
The ever-increasing demands on the data center are pushing existing infrastructure to its limit, driving the need for adaptable solutions that can optimize performance across a broad range of workloads and extend the lifecycle of existing infrastructure, ultimately reducing TCO. To capture this demand and gain market recognition, players have been actively focusing on expanding their product portfolio.
The growing need for data centers and cloud resources from both the consumer service and business perspective has led to the development of large-scale public cloud data centers called hyperscale data centers. According to Cisco, hyperscale data centers are expected to increase by more than 60% by 2021, compared to 2016.
Key Market Trends
FPGA to Drive the Market Growth
- FPGAs (Field programmable gate arrays) are pre-fabricated silicon devices that can be programmed electrically (post-manufacturing) to become almost any kind of digital system. They are an array of configurable logic blocks (CLBs) connected with programmable interconnects and can be reprogrammed to the desired application requirements after manufacturing.
- The adoption of FPGA chips across all industries is driven by the fact that they combine the best parts of processor-based systems and application-specific integrated circuits (ASICs). In addition to this, for low-to-medium volume productions, FPGAs provide cheaper solutions and faster time to market than ASIC, which normally requires a lot of resources, in terms of time and capital, to obtain the first device.
- FPGA in accelerators increase real-time inference throughput versus high-end CPUs, and reduce latency versus GPUs, providing significant merit when running real-time inference applications. Owing to this, FPGA is anticipated to become a significant area of investment by several players.
- In March 2020, Xilinx, Inc. launched the SmartNIC platform delivering true convergence of network, storage and compute acceleration functions on a single device. The Alveo U25 SmartNIC is designed to bring the greater efficiency and lower TCO benefits of SmartNICs to cloud service providers, telcos, and private cloud data center operators struggling with increasing networking demands and rising costs. The U25 combines a highly optimized SmartNIC platform with a powerful and flexible FPGA-based engine that supports full programmability and turnkey accelerated applications.
North America to Hold Maximum Market Share
- The United States currently has the highest number of data centers globally and is witnessing robust growth in terms of volume of big data and traffic due to the increase in the number of hyperscale data centers. According to Cisco Systems, the volume of big data in data center storage worldwide is expected to reach 403 exabytes by 2021, of which a considerable share will be accounted for by the US.
- The overall GDP of the United States is over USD 18 trillion, in which the digital economy contributes over 7.1% to it. By the end of 2018, this digital economy included over 345.66 million internet users in the country. Also, the data center industry in the country is significantly growing due to the rapidly increasing IT and Telecommunication industry. According to the Cloudscene, the country consists of more than 2,400 data centers, as of September 2019.
- In the United States, the US Army Engineering and Support Center, Huntsville Information Technology Services High-Performance Computing (HPC) program supports the HPC Modernization Program (HPCMP) of the US Department of Defense (DOD) through procurement of various HPC systems (supercomputers), with over 5 PetaFLOPS of computing capability and over 50 PetaBytes of mass storage archives.
- The HPCMP program accelerates the development and transition of advanced defense technologies into superior war-fighting capabilities, by exploiting and strengthening the United States leadership in supercomputing, communications, and computational modeling.
- Besides, the region also accounts for the majority of the world’s hyperscale data centers, mainly owing to the propelling HPC industry in the United States. Due to this, the majority of the supplies from Cisco, IBM, NVIDIA, Intel cater to the US demand.
- Moreover, Canada is continuously growing and providing more data center infrastructure solutions. This is due to an increase in the demand for efficient data centers, initiatives for ecological data center solutions, and substantial growth of power density across the region.
Competitive Landscape
The data center accelerator market is fragmented, due to the presence of several global market players across the globe. Players adopt various strategies such as new product launches, expansions, acquisitions to increase their market share. Moreover, the companies operating in this market invest huge amounts in research and development, which is helping them bring about more innovations in the products offered.
- October 2020 – Intel Corporation introduced Intel Xeon Scalable Platform to help secure sensitive workloads. It comes along with new features that include Intel Total Memory Encryption (Intel TME), Intel Platform Firmware Resilience (Intel PFR), and new cryptographic accelerators to strengthen the platform and improve the overall confidentiality and integrity of data.
Reasons to Purchase this report:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
Key Topics Covered:
1 INTRODUCTION
1.1 Study Assumptions & Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Value Chain Analysis
4.3 Industry Attractiveness – Porter’s Five Force Analysis
4.3.1 Bargaining Power of Suppliers
4.3.2 Bargaining Power of Buyers/Consumers
4.3.3 Threat of New Entrants
4.3.4 Intensity of Competitive Rivalry
4.3.5 Threat of Substitute Products
4.4 Assessment of Impact of COVID-19 on the Market
5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Increasing Deployment of AI in HPC Data Centers
5.1.2 Increasing Deployment of Data Center Facilities and Cloud-Based Services
5.2 Market Restraints
5.2.1 Limited AI Hardware Experts Coupled with Infrastructural Concerns
6 TECHNOLOGY SNAPSHOT
6.1 Impact of deep learning, public cloud interface, and enterprise interface on the data center accelerators
7 MARKET SEGMENTATION
7.1 By Processor Type
7.1.1 CPU (Central Processing Unit)
7.1.2 GPU (Graphics Processing Unit)
7.1.3 FPGA (Field-Programmable Gate Array)
7.1.4 ASIC (Application-specific Integrated Circuit)
7.2 By Accelerator Type**
7.2.1 High-performance Computing
7.2.2 Artificial Intelligence
7.2.3 Other Applications
7.3 Geography
7.3.1 North America
7.3.2 Europe
7.3.3 Asia Pacific
7.3.4 Latin America
7.3.5 Middle East & Africa
8 COMPETITIVE LANDSCAPE
8.1 Company Profiles
8.1.1 Intel Corporation
8.1.2 NVIDIA Corporation
8.1.3 Advanced Micro Devices Inc.
8.1.4 Achronix Semiconductor Corporation
8.1.5 Xilinx Inc.
8.1.6 NEC Corporation
8.1.7 Dell Technologies Inc.
8.1.8 IBM Corporation
8.1.9 Cisco Systems Inc.
8.1.10 Qualcomm Technologies, Inc.
9 INVESTMENT ANALYSIS
10 FUTURE OF THE MARKET
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Artificial Intelligence
Aurionpro Solutions acquires Arya.ai, to power next generation Enterprise AI platforms for Financial Institutions
SINGAPORE, April 20, 2024 /PRNewswire/ — Aurionpro Solutions Limited (BSE: 532668) (NSE: AURIONPRO) announces the acquisition of Banking and Insurance focused PaaS startup, Arya.ai. With Arya.ai, Aurionpro will enhance its portfolio of enterprise fintech offerings to expedite adoption of AI that is responsible, accurate, and auditable.
Aurionpro Solutions Ltd. will acquire a majority stake (67%) in Arya.ai. This acquisition will bring products and expertise in Artificial Intelligence, Deep Learning, Intelligent Automation, PaaS, Autonomous AI Platforms, and more, to complement and strengthen Aurionpro’s industry leading portfolio.
The transaction comprises acquisition of shares held by the existing shareholders and subscription of new equity capital in the company. This will be an all-cash deal. The aggregate investment including secondary acquisition and fund infusion is approximately 16.5 MN USD.
By integrating Arya.ai’s cutting-edge AI cloud platform, with Aurionpro’s comprehensive suite of offerings, the company will create an industry leading Enterprise AI platform focused on creating value for financial institutions globally.
Commenting on the acquisition, Ashish Rai, CEO of Aurionpro Solutions, stated, “The acquisition of Arya.ai marries Aurionpro’s portfolio of industry leading enterprise software with one of the most mature Enterprise AI platforms focused on Banks and Insurers. We are incredibly excited about working with Arya.ai and our wider ecosystem partners to build out the leading Enterprise AI platform, for the financial industry worldwide.”
“Our decade long experience in building tools/platform for deep learning helped us to build a truly verticalized AI Operating System for Banking and Insurance.” Says Vinay Kumar CEO/Founder of Arya.ai. “Together with Aurionpro, we are going to build a new generation of Enterprise AI software for Banks and Insurers that truly embeds AI, augmenting a task or Autonomous Agents that can take over entire transactions”.
Founded in 2013 by Vinay Kumar and Deekshith Marla, Arya.ai has been one of the first ‘AI’ startups to use Deep Learning and deploy in enterprises. Arya.ai’s BFSI PaaS offerings include Arya API with 80+ ML models, Libra for fine-tuning SOTA ML models, and AryaXAI for AI governance.
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Artificial Intelligence
Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.
NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform. QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR HUD screen, when having some down time.
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Artificial Intelligence
Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.
The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™. Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies. GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance. Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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