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Artificial Intelligence

Enterprise AI Market Projected to Hit USD 155.2 Billion at a 34.60% CAGR by 2030 – Report by Market Research Future (MRFR)

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New York, US, April 10, 2023 (GLOBE NEWSWIRE) — According to a comprehensive research report by Market Research Future (MRFR), “Enterprise AI Market, By Solution, By Service, By Deployment, By Industry Vertical – Forecast till 2030”, the global market for automated test equipment is anticipated to thrive substantially during the assessment timeframe from 2022 to 2030 at a healthy CAGR of approximately 34.60% to attain around USD 155.2 Billion by 2030.

Enterprise Artificial Intelligence Market Overview

The market for buttock augmentation is being driven by factors including rising disposable income, increased aesthetic awareness among the populace, strong social media influence, and aesthetics-related technology advancements. Fat grafting is one method that has a high success rate, high patient satisfaction, and few problems, all of which are predicted to help the market grow. Together with an increase in understanding of the beauty care techniques and products accessible worldwide, image/appearance consciousness is also rising. Peer recommendations are extremely important when buying cosmetic goods, and social media has a significant impact on millennials’ shopping decisions.

Enterprise Artificial Intelligence Market Competitive Analysis

The catalog for prominent participants across the global market for Enterprise Artificial Intelligence includes players such as:

  • Amazon Web Services, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Intel Corporation
  • Alphabet Inc.
  • SAP SE
  • C3.ai, Inc.
  • DataRobot, Inc.
  • Hewlett Packard Enterprise Development LP
  • Wipro Limited
  • NVidia Corporation

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 Enterprise Artificial Intelligence Market Report Scope:

Report Metrics Details
Market Size by 2030 USD 155.2 Billion
CAGR during 2022-2030 34.60%
Base Year 2021
Forecast 2022-2030
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Key Market Opportunities The market for enterprise artificial intelligence is expected to experience a high growth rate.
Key Market Drivers The growing amount of data sets required to analyze, complex data for with integration of artificial intelligence for better efficiency is driving the market.

71.0% of individuals are more inclined to make an online purchase of a product or service when it is suggested by others, according to Hubspot statistics from 2019. Also, it may be said that a few influencers are responsible for the majority of social media referral branding. Forbes claims that 5% of the influencers who endorse products or services are responsible for 45% of social influence. A 2015 survey by the American Society of Plastic Surgeons found that 93% of patients chose cosmetic surgery as a result of recommendations from friends and family who were pleased with the results. Also, 75% of these chose the surgery due to the growing availability of information regarding cosmetic procedures online.

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According to the International Society of Aesthetic Plastic Surgery, worldwide buttock augmentation and buttock lift treatments totaled over 5,34,345 in 2019.
Currently, 4.7% of all surgical procedures performed worldwide are buttock augmentation treatments, and this percentage is rapidly increasing. According to an NCBI survey, the main reason people choose cosmetic treatments is to increase their physical beauty and self-esteem (86%), which is followed by restorative and health concerns (46%).

Buttock augmentation surgery, one of the fastest-growing surgical cosmetic subspecialties, has climbed by 252% between 2000 and 2017, according to the American Society of Plastic Surgeons. Strict guidelines have been established by the International Society of Aesthetic Plastic Surgery in order to restart clinics and provide infection control measures.

Covid 19 Impact

Every segment of the global economy was significantly damaged by the COVID-19 pandemic. Yet, the need for innovative and cutting-edge AI-based enterprise products rose during the pandemic across a number of sectors, including healthcare, retail, and education. This led to growth in the enterprise artificial intelligence (AI) market. A machine learning-based imaging system that can identify indications of Covid-19 will be deployed by UC San Diego Health, an academic medical center inside the University of California, with the assistance of Amazon Elastic Compute Cloud in July 2020. (Amazon EC2).

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Industry Trends

In 2021, the U.S. industrial coatings market was estimated to be worth USD 15.0 billion. From 2022 to 2030, it is expected to increase at a CAGR of 3.2%. It is projected that rising demand in the automotive, aerospace, and electronics industries will be the main driver of the product’s demand. The U.S. economy’s growth depends heavily on the automotive sector. The nation has one of the biggest auto marketplaces in the world. The auto industry supports around 4.5% of all jobs in the United States. The COVID-19 epidemic hurt the automotive sector, but it has now recovered and returned to normal. Around 18 billion USD are annually spent on research & development by the auto sector in the United States.

Enterprise Artificial Intelligence Market Segmentation

The types of markets in Deployment Forecast (Revenue, USD Million, 2017 – 2030) include cloud and on-premises.
The market is divided into Natural Language Processing (NLP), Machine Learning, Computer Vision, Voice Recognition, and Others in Technological Forecast (Revenue, USD Million, 2017– 2030).
Big, Small, and Medium Businesses are included in Organization Outlook (Revenue, USD Million, 2017 – 2030).
Media & Advertising, Retail, BFSI, IT & Telecom, Healthcare, Automotive & Transportation, and Others are the market categories based on end-use outlook (revenue, USD million, 2017–2030).

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Regional Analysis

North America, which accounted for 38.1% of global revenue in 2021, is expected to grow at a CAGR of more than 33.0% over the projected period. The market in the region is being driven by elements including the presence of top organizations that create AI solutions & services, technological infrastructure facilities, and the substantial number of end users employing data management devices.

For instance, as part of a strategy to expand leadership in artificial intelligence, the president unveiled the American AI Initiative in February 2019. Also, as part of these programmes, federal authorities have established criteria for the development and implementation of AI-based systems in the real world across a variety of industrial sectors.

Throughout the forecast period, Asia-Pacific is anticipated to experience the fastest CAGR of 36.4%. The usage of AI is growing, and data management platforms are being installed. These developments address problems with privacy and security, teamwork, and the setting of moral standards for businesses. The main growth drivers are the development of AI technology, rising government investment spending, and the adoption of cutting-edge technologies across many industries.

For instance, the Asia Pacific Artificial Intelligence Association (AAIA), a Hong Kong-based organization founded in 2021 by 663 academicians globally, has as its main goal the advancement of scientists working in the fields of AI and other related disciplines. Via academic interactions and research, the group seeks to further the development and implementation of AI.

Related Reports:

Independent Software Vendors (ISVs) Market By Type, By Application, By Region – Market Forecast Till 2030

Analytics as a Service Market By Component, By Analytics Type, By Deployment, by Organization Size, By End-User – Forecast till 2030

Corporate E-learning Market By Technology, By Training Type, By Region – Market Forecast Till 2030.

About Market Research Future:

Market Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis regarding diverse markets and consumers worldwide. Market Research Future has the distinguished objective of providing the optimal quality research and granular research to clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help answer your most important questions.

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Artificial Intelligence

Appian Named a Leader in the 2024 Gartner® Magic Quadrant™ for Process Mining Platforms Report

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LONDON, May 3, 2024 /PRNewswire/ — Appian (Nasdaq: APPN) today announced it has been named a Leader by Gartner in its 2024 Magic Quadrant for Process Mining Platforms report. The report evaluated 18 vendors and their product offerings. For more information, download a complimentary copy of the Gartner Process Mining 2024 report. 

Gartner defines Process Mining platforms as tools that deliver visibility and insights to technology innovation leaders that enable smart decision making and strong performance on an organisation’s critical priorities. Features that make Appian a leader in Process Mining, include:
Faster data prep that eliminates complex transformation with always-ready data from multiple sources.Automated process analysis and intelligent recommendations for where and how to take action.A low-code experience for measuring, monitoring, and optimising process performance—all within one platform.”We believe that Appian’s recognition in the Gartner Process Mining Platforms Magic Quadrant underscores our dedication to process excellence. Through Process HQ, we integrate data fabric, process mining, machine learning, and generative AI to streamline manual data prep, enabling businesses to gain insights swiftly and implement improvements easily,” said Michael Beckley, CTO and Founder of Appian. “Our unified approach merges Process Mining with AI-driven process automation, setting a new standard for efficiency and intelligence.”
Business users need greater visibility into the full breadth of their enterprise data and processes in order to maximise operational efficiency and strategic decision-making. By combining the latest technologies in data fabric, process mining, machine learning, and generative AI, Process HQ helps monitor and improve every business process built on Appian. Process HQ makes it easy to reduce costs, risks, and delays, improve compliance, and drive better business outcomes, without the need for costly and time-consuming data collection efforts.
Appian is now an industry leader across its value proposition to Design, Automate, and Optimise the most complex business processes. In addition to today’s announcement, Appian was named a Leader in the 2023 Gartner® Magic Quadrant™ for Enterprise Low-Code Application Platforms report, and was ranked #1 for the Business Workflow Automation with Integration Use Case in the 2023 Gartner® Critical Capabilities for Enterprise Low-Code Application Platforms (LCAP) report.
To access the report and to learn more about Appian’s positioning, visit https://ap.pn/3y2ClZy. Register for our upcoming webinar Process Intelligence Made Easy: The Key to Better Business Decisions on June 20, 2024 at 12pm EST to discover how Process HQ can improve business processes.
Gartner disclaimerGartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organisation and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
About Appian
Appian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimise even the most complex processes, from start to finish. The world’s most innovative organisations trust Appian to improve their workflows, unify data, and optimise operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN]
Follow Appian: LinkedIn, X, and X (UK).
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Artificial Intelligence

Innodisk Introduces iCAP Air: Advancing Air Quality Management through Autonomous Decision-Making

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TAIPEI, May 3, 2024 /PRNewswire/ — Innodisk, a global leader in AI solutions, has taken a pivotal step forward in environmental sustainability with the launch of its latest innovation, the “iCAP Air” air quality management solution. This solution empowers businesses worldwide to enhance air quality, sustainability, and human health. Additionally, business can benefit from monthly AI-generated air quality data report, providing valuable insights for informed decision-making.

Leveraging its expertise in edge computing and software and hardware integration, along with the expertise of its subsidiary Sysinno in air quality detection, Innodisk has achieved the development of the “iCAP Air” air quality management solution. This solution integrates advanced technology, including the innovative “iAeris7” air quality detector from Sysinno, to deliver accuracy in detecting temperature, humidity, fine suspended particles (PM2.5), suspended particles (PM10), carbon dioxide (CO2), formaldehyde and total volatile organic compounds (TVOC). It can also be customized to detect NO2, SO2, CO, NH3, and other air factors. At the same time, the iAeris7 device is known for its reliability, patented technology, and various international certifications, including those from SGS and FCC/CE/RoHS/NCC/BSMI.
The solution also includes the “iCAP Air Server,” designed to manage large-scale deployment and data from up to 100 air quality detectors, ensuring seamless integration and efficient operation, even in complex environments. Additionally, iCAP Air provides a user-friendly air quality management platform, enabling organizations to monitor air quality in real-time via a mobile app or internet browser, receive automatic alerts, and optimize air purification or exhaust ventilation system.
iCAP Air is a comprehensive solution that simplifies air quality management for users. It is tailored for medium to large-sized sites or densely populated, enclosed spaces such as medical institutions, smart manufacturing facilities, public transportation hubs, indoor parking facilities, and department stores. Innodisk’s “iCAP Air” air quality management solution represents a milestone for all businesses committed to leveraging technology for the greater good of air quality and society.
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Artificial Intelligence

Bitrue expands Bitcoin Runes Offerings with GPTV Listing and Staking Options

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VICTORIA, Seychelles, May 3, 2024 /PRNewswire/ — Leading digital asset exchange Bitrue continues its community-driven approach with the listing of a new Bitcoin Runes token, GPTV•AI•PEPE•KING (GPTV). This follows the recent addition of several other Bitcoin Runes tokens to the platform, including SATOSHI•NAKAMOTO (SATOSHI), LOBO•THE•WOLF•PUP (LOBO), RSIC•GENESIS•RUNE (RSIC), and DOG•GO•TO•THE•MOON (DOG). Trading for the GPTV/USDT pair commenced on April 30th, 2024.

What is GPTV?
GPTV is the native token of AI PEPE KING, a project claiming to be the “largest AI Meme Community” with a presence on both the Polygon (AIPEPE) and Bitcoin Runes (GPTV) blockchains. Notably, AI PEPE KING secured a $10 million investment to develop AI-powered customer service tools leveraging the ChatGPT technology. Additionally, they are building a “Dream Lottery” system. Revenue generated from these products is earmarked for buybacks and burns of both AIPEPE and GPTV tokens, potentially influencing their long-term value.
Staking Opportunities with Attractive Yields
Bitrue is also offering users staking opportunities for those holding BTR, AIPEPE, RSIC, or DOG tokens. By staking their holdings, users can earn rewards in GPTV, with estimated annual percentage yield (APY) varying on the staked token, with BTR offering 22.15%, AIPEPE at 23.18%, RSIC boasting a higher 31.37%, and DOG coming in at 23.62%. These yields present a potentially lucrative opportunity for users to grow their cryptocurrency holdings, but also come with financial risk and the potential for investment to return much lower yields.
Bitrue’s Focus on Community Engagement
The listing of these Bitcoin Runes tokens is a testament to Bitrue’s commitment to its user base. The decision to add these tokens stemmed from a community poll conducted through an X poll on Bitrue’s X account. This highlights the exchange’s dedication to incorporating community feedback into its decision-making process, fostering a sense of collaboration and shared interest.
With the addition of GPTV and the introduction of staking opportunities, Bitrue continues to expand its offerings for users interested in the burgeoning world of Bitcoin Runes tokens. The exchange’s focus on community engagement further strengthens its position as a platform that prioritizes user input and satisfaction.
About Bitrue
Launched in July 2018, Bitrue is a diversified digital asset exchange that supports trading, loans and investments. Bitrue aims to utilize blockchain technology to bring financial opportunities to everybody regardless of their location or financial position. With offices in Asia and Europe, the business continues to develop new features at a rapid speed to fully service the new wave of the digital economy. More information is available at Bitrue’s website.
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