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Pre Made Pouch Packaging Machines Market Is Expected to Reach USD 2.61 Billion by 2030, Grow at a CAGR Of 6.3% during Forecast Period 2023 To 2030 | Data By Contrive Datum Insights Pvt Ltd.

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Farmington, April 25, 2023 (GLOBE NEWSWIRE) — The Global Pre made Pouch Packaging Machines Market Was Valued At $1.7 Billion In 2022 And Is Expected To Expand  $2.61 Billion By 2030 at a CAGR Of 6.3% From 2023 To 2030. Filling and sealing products into pre-made pouches is the job of pouch packaging machines. Collecting packaging machines, blister packaging machines, skin packaging machines, and vacuum packaging machines are just some of the options out there. The cost-effectiveness, high degree of automation, one-stop service, and Customizable features of these packaging machines are attracting more and more businesses in the food and beverage industry, the chemical and pharmaceutical industry, and the cosmetic and personal care manufacturing industry. As a result, the preformed pouch packing machine market is anticipated to reach $2.61 billion by 2027.We give historic and projected data for the period 2017–2030 (with 2022 as the base year) for the global pre-made pouch packaging machines market in terms of sales volume (K units) and revenue (million USD). The market for pre-made pouch packaging machines is broken down thoroughly in this paper. We also provide regional product market sizes broken down by category, use case, and industry player. We factored in the effects of both COVID-19 and the conflict between Russia and Ukraine when calculating the potential size of the market.

Request Sample Copy of Report Pre made Pouch Packaging Machines Market – Global Industry Analysis, Size, Share, Growth Opportunities, Future Trends, Covid-19 Impact, SWOT Analysis, Competition and Forecasts 2022 to 2030”, published by Contrive Datum Insights”.

Segmentation Overview:

Deployment Outlook:

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Deploying an API management solution in the cloud means making it available over the internet. Popularity of cloud-based solutions can be attributed to their low barrier to entry, manageability, and scalability, as well as their adaptable pricing structures.

The term “on-premises deployment” is used to describe API management solutions that are installed on a company’s own servers and accessed from within the company’s own network. Companies with strict security or compliance regulations may prefer on-premises solutions due to the increased flexibility and control they provide.

To deploy an API management solution in a hybrid fashion, you would use a combination of cloud-based and on-premises deployment, with some components residing in the cloud and others in your own data center. The advantages of cloud-based and on-premises solutions, such as scalability, manageability, and security, are combined in a hybrid deployment, making it a popular choice.

Among API management providers, cloud-based deployment is by far the most widely used option, with many companies now providing exclusively cloud-based solutions. Cloud-based solutions are appealing to businesses of all sizes due to their low entry barrier to implementation and scalability.

Organization Size Outlook:

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The report notes that large enterprises hold the largest market size in the API management market, due to their significant investment capabilities and the need for managing complex APIs in their systems. However, the report also states that SMEs are expected to grow at a higher rate during the forecast period, due to the increasing adoption of cloud-based API management solutions and the need for better security and governance of APIs

Regional Analysis:

During the forecast period, North America’s market is anticipated to grow at the fastest rate. This is due to the region’s high adoption of cloud-based solutions and increasing demand for digital transformation, as well as the presence of major players in the region.

During the forecast period, the Asia Pacific region is anticipated to expand at the fastest rate because of factors such as the rising popularity of APIs and cloud-based solutions, the proliferation of small and medium-sized enterprises, and the rising investments in digital transformation by organizations.

According to the report, the adoption of digital technologies, the expansion of small and medium-sized enterprises, and the call for better security and governance of APIs are all driving growth in Europe, the Middle East and Africa, and Latin America over the forecast period.

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It is essential to take into account the specific local factors when analysing the API management market in each region, as market conditions and trends can vary significantly from region to region and even from country to country.

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Scope of Report:

Report Attributes Details
Growth Rate CAGR of 6.3% from 2023 to 2030.
Revenue Forecast by 2030  USD 2.61 Billion
By Deployment Type
  • On-premises
  • Cloud
By Organization Size
  • SMEs
  • Large enterprises
By Industries
  • Government
  • Healthcare
  • Retail
  • Manufacturing
  • Others
  • BFSI
  • IT and telecom
By Companies
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Oracle Corporation
  • MuleSoft LLC (Salesforce.com, Inc.)
  • Red Hat, Inc.
  • Axway Inc.
  • SAP SE
  • Dell Boomi, Inc.
Regions and Countries Covered
  • North America: (US, Canada, Mexico, Rest of North America)
  • Europe(Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
  • Asia-Pacific (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
  • The Middle East & Africa(Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
  • Latin America(Brazil, Argentina, Rest of Latin America)
  • Rest Of the World
Base Year  2022
Historical Year  2017 to 2022
Forecast Year  2023 to 2030

Market Dynamics:

Restraining Factors:

There are a number of challenges that could slow the expansion of the global API management market. Among the most important constraints are:

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Integration difficulties: The process of incorporating APIs into an organization’s pre-existing IT framework can be laborious and time-consuming. This may prevent some businesses from implementing API management systems.

Cost considerations: The high initial investment and ongoing overhead of API management solutions is a concern for many businesses, especially those with limited resources.

Competition from open-source alternatives: API management solutions can be costly; however, there are open-source alternatives that can be much cheaper, if not free. Because of this, vendors in the API management market may face competition from open-source alternatives, as some businesses may prefer to use these instead of paying for proprietary software.

Opportunity Analysis:

A number of promising new avenues for development and expansion exist in the international API management market. Consider a few of the most promising prospects:

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Adoption of API-first strategies: The use of APIs as the primary means of communication between applications and systems is becoming increasingly popular among businesses, which are adopting what are known as “API-first strategies.” Suppliers of API management solutions can fill a need in the market by catering to these tactics.

Focus on developer experience: Since developers make up a sizable portion of API consumers, it’s important to put extra effort into improving their experience with APIs. To enhance the developer experience, vendors can center their efforts on making APIs, documentation, and tools accessible and user-friendly.

Adoption of microservices architecture: Adopting a microservices architecture means decomposing applications into a collection of smaller, self-sufficient services that interact with one another via application programming interfaces. As a result, there is a need for API management solutions to facilitate the administration and amalgamation of these offerings.

Focus on API monetization: Paying attention to how APIs can be made profitable for businesses, which are increasingly looking to do so by making them available to other businesses and consumers. When it comes to monetizing APIs, API management solutions can supply the resources you need to succeed.

Integration with cloud-native technologies: With the growing popularity of cloud-based systems, businesses should look for API management solutions that are compatible with these platforms in order to offer their customers a more streamlined and satisfying experience.

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Key Segments Covered:

Top Market Players:

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Oracle Corporation
  • MuleSoft LLC (Salesforce.com, Inc.)
  • Red Hat, Inc.
  • Axway Inc.
  • SAP SE
  • Dell Boomi, Inc.

By Deployment Type

  • On-premises
  • Cloud

By Organization Size

  • SMEs
  • Large enterprises

By Industries

  • Government
  • Healthcare
  • Retail
  • Manufacturing
  • Others
  • BFSI
  • IT and telecom

Regions and Countries Covered

  • North America: (US, Canada, Mexico, Rest of North America)
  • Europe: (Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
  • Asia-Pacific: (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
  • The Middle East & Africa: (Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
  • Latin America: (Brazil, Argentina, Rest of Latin America)
  • Rest Of the World

Check out more related studies published by Contrive Datum Insights:

  • Geospatial Analytics Market – At a compound annual growth rate (CAGR) of 12.8% between 2022 and 2030, the global geospatial analytics market is expected to expand from its 2022 level of USD 56.88 billion to a 2030 level of USD 63.61 billion.
  • Blockchain Market – By 2030, the global blockchain market is expected to be worth USD 39.7 billion, up from an estimated USD 3.0 billion in 2022. This represents a CAGR (Compound Annual Growth Rate) of 67.3%.
  • Artificial Intelligence Market– In 2022, the global AI market was estimated at USD 136.55 billion; between 2023 and 2030, that number is expected to grow to USD 1,811.75 billion, or a CAGR of 37.3 percent.

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Artificial Intelligence

ResourceWise Brings Its Cross-Commodity Data and Analytics Expertise to New Oleochemicals Service

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ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 
CHARLOTTE, N.C., June 24, 2024 /PRNewswire/ — ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 

For the first time, one digital product encompasses expertise that spans all the key commodity sectors that ResourceWise covers. Dedicated to renewable feedstock, the new platform-based oleochemicals analysis and insight tools draw on decades of experience within each distinct business sector. 
Dwight Lynch, Biomaterials Business Manager at ResourceWise, is leading the transition towards data and insight on renewable intermediates and biobased and biodegradable polymer inputs. 
“Navigating oleochemicals markets at a time when regulation, legislation, and competition from renewable fuels markets are the key drivers is a challenge. Our new service offers pricing and analysis that informs decision-makers and allows sustainable business to thrive.” 
The new oleochemicals portal in ResourceWise’s flagship chemicals market intelligence platform, OrbiChem360, has evolved beyond its legacy biomaterials insights to focus on the fats and oils markets that are key to sustainability.  
It presents pricing data and analysis that ResourceWise biomaterials experts have furnished within OrbiChem360 this past decade and includes a crude tall oil (CTO) price index. The inclusion of a forest-based output introduces the ResourceWise platform FisherSolve’s pulp and paper industry insight to our portfolio. 
Pete Stewart, the CEO of ResourceWise, is focused on the future. “From raw material converters to end-use consumer goods producers, manufacturing value chain participants are increasingly seeking cross-commodity insights to meet low-carbon targets. We are building and providing the data and analytics businesses need to achieve environmental, social, and governance (ESG) targets and market products competitively worldwide.  
“The ResourceWise mission is to use the intelligence within the increasingly inter-related business sectors we have harnessed to guide customers in their journey toward a net-zero future. This new offering is the first of many milestones in our endeavor to do just that,” adds Stewart.  
A Streamlined Renewable Chemicals Service  
The new product leverages oleochemical pricing and commentary gathered by ResourceWise legacy brands since 2014 and insight collected since the 1990s. It extends our regional reach with additional price points and streamlines the data and analytics provided.  
The new portal is designed with personal care, cosmetics, detergents, lubricants, pharmaceuticals, flavor and fragrance, and food and beverage market participants in mind. However, it provides pricing data and insights for producers, intermediaries, and consumer product manufacturers in broader industries. 
More Than Forty Current and Historical Prices          
International price indexes for oleochemicals include the feedstocks soybean, coconut, tall, rapeseed, and palm oils, as well as tallow and glycerine grades Dozens of spot and contract prices for fatty acids and fatty alcohols plus comprehensive commentary based on intelligence from a worldwide contact base       Low-carbon price benchmarks and commentary in our oleochemicals offering will increasingly leverage intelligence on the biofuels sector within the Prima CarbonZero platform      Global Trade Flow graphics for all oils and tallow to help customers understand how key plant and animal-based feedstocks are traded globally to identify new markets and sources   Industry experts contextualize data, making it actionable, and respond personally to customer inquiries By bridging information gaps in the chemicals market, OrbiChem360 subscribers gain a competitive edge in volatile markets. The platform provides decision makers with robust, data-driven insight that unravels market trends so they can harness growth opportunities. For more information on the OrbiChem360 platform, visit the ResourceWise OrbiChem360 page. 
CONTACT:
Contact:Suz-Anne Kinney          Vice President, Marketing & Communications at [email protected]  +1 (980) 233-4021
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Artificial Intelligence

AI Vulnerability Scanning market Size to Grow USD 7,574.30 Million by 2030 at a CAGR of 13.52% | Valuates Reports

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BANGALORE, India, June 24, 2024 /PRNewswire/ — AI Vulnerability Scanning market is Segmented by Type (On-premises, Cloud-Based), by Application (SMEs, Large Enterprise): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global AI Vulnerability Scanning market was valued at USD 3121.56 million in 2023 and is anticipated to reach USD 7,574.30 million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.
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 Major Factors Driving the Growth of AI Vulnerability Scanning Market:
The market for AI vulnerability assessment is being pushed by the growing requirement for strong cybersecurity defenses against increasingly complex and dynamic cyberthreats. AI-specific vulnerabilities are becoming more likely as organizations use machine learning (ML) and artificial intelligence (AI) more extensively, which calls for the use of specialized scanning solutions. AI vulnerability scanners use cutting-edge algorithms to find and fix security flaws in AI models, shielding against criminal activity, data breaches, and adversarial attacks. The demand for AI vulnerability screening tools is being driven primarily by the increasing awareness of AI security concerns, regulatory constraints for strict data protection, and the integration of AI across multiple sectors, including banking, healthcare, and automotive. Furthermore, improvements in AI and ML methods boost these scanning solutions’ efficacy and propel the market forward.
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TRENDS INFLUENCING THE GROWTH OF THE AI VULNERABILITY SCANNING MARKET
Because cloud-based AI vulnerability scanning provides scalable, effective, and all-encompassing security solutions, it is driving the growth of the AI vulnerability scanning market in major companies. By constantly monitoring and analyzing enormous volumes of data across enterprise networks, these cloud-based systems make use of cutting-edge AI algorithms to spot possible vulnerabilities in real time. Large businesses can effectively manage security across different and complex IT infrastructures thanks to the flexibility and scalability of cloud solutions, which guarantees strong defense against constantly changing cyber threats. Furthermore, cloud-based platforms’ centralized architecture makes it simpler to integrate and upgrade with pre-existing security frameworks, which improves overall resiliency. The market is expanding significantly as a result of large organizations prioritizing cybersecurity and the increased need for advanced, AI-driven vulnerability detection solutions.
The market for AI vulnerability scanning is primarily driven by the rise in complex cyberthreats. Organizations are becoming more cognizant of the necessity for sophisticated security measures as cyber threats escalate in complexity and frequency. When it comes to identifying and countering these contemporary threats, traditional vulnerability scanning techniques frequently fall short. Real-time detection and prediction analysis capabilities are provided by AI-powered vulnerability scanning solutions, which can detect possible security breaches before they happen. Organizations must make significant investments in AI-based security solutions in order to preserve business continuity and protect critical data.
One major element propelling the market expansion for AI vulnerability scanning is regulatory compliance. Tight laws are being passed by governments and business associations across the globe to guarantee cybersecurity and data security. Sufficient observance of regulations like GDPR, HIPAA, and CCPA necessitates ongoing security vulnerability reporting and monitoring. AI vulnerability scanning systems offer thorough and automated security assessments, which assist enterprises in meeting these legal obligations. This ability not only guarantees compliance but also lowers the possibility of fines and harm to one’s reputation, which motivates more companies to choose AI-powered security solutions.
Another important element propelling the market for AI vulnerability scanning is cost effectiveness. Conventional security methods are resource-intensive and can require a large amount of manual effort, which raises operational costs. The identification and mitigation of security threats are automated by AI-powered vulnerability scanning solutions, which minimizes the need for significant human participation. Organizations save a significant amount of money because of this automation, especially big businesses with sophisticated IT infrastructures. Furthermore, early vulnerability detection reduces the possible financial effect of cyberattacks, which makes AI-driven solutions a financially viable choice for companies.
The market for AI vulnerability scanning is expanding due in large part to the need for real-time threat identification. Real-time security threat detection and response is essential in today’s fast-paced digital world. Artificial intelligence (AI)-driven vulnerability scanning solutions enable businesses to quickly respond to possible threats by offering continuous monitoring and instantaneous analysis of security weaknesses. Reducing the effects of cyberattacks and preserving the integrity of vital systems depend on this real-time detection capabilities. Adoption of AI-based security solutions is driven by the increased requirement for quick reaction to threats.
The market for AI vulnerability screening is being driven by several factors, including increased accuracy and precision. Conventional vulnerability scanning techniques can miss subtle security risks and generate false positives. On the other hand, AI-powered products use sophisticated analytics and machine learning algorithms to pinpoint vulnerabilities extremely precisely. This lowers the quantity of false alarms and guarantees that serious dangers are dealt with right away. Because AI-driven solutions are more accurate, security measures are more effective overall, which is why businesses looking for dependable and all-inclusive vulnerability management choose them.
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AI VULNERABILITY SCANNING MARKET SHARE ANALYSIS
The market for AI vulnerability scanning is dominated by North America because of the region’s strong emphasis on cybersecurity and technical improvements. Because there are so many tech businesses, financial institutions, and government organizations in the US that need to implement strong cybersecurity measures, the country is a big participant in this space. The development and uptake of sophisticated vulnerability scanning solutions are aided by the presence of significant AI and cybersecurity companies in the area. The industry is additionally driven by strict regulatory requirements, such as those imposed by the Health Insurance Portability and Accountability Act (HIPAA) and the Federal Information Security Management Act (FISMA), which force firms to install extensive security measures. The increased frequency of cyberattacks in North America emphasizes the necessity for sophisticated AI-powered security measures.
Key Players:
European UnionCRYPTTECHSecPointTheSmartScannerSecureWorksCybotsCyber OrionImmuniWeb SAVertaHuawei CloudFreeBufAlibaba CloudIBMGoogle CloudBARUTUAmazon AWSPurchase Regional Data: https://reports.valuates.com/request/regional/QYRE-Auto-12L15782/Global_AI_Vulnerability_Scanning_Market_Research_Report_2023
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Artificial Intelligence

Timekettle Announces HybridComm 3.0 Upgrade, Marking a New Era in Near-human-level AI Translation Technology

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SHENZHEN, China, June 24, 2024 /PRNewswire/ — Timekettle is excited to announce the release of its latest software upgrade, the AI Semantic Segmentation. Powered by Timekettle’s cutting-edge TurboFast Technology under HybridComm 3.0, the AI Semantic Segmentation sets a new standard in real-time language translation, solidifying Timekettle’s position as the expert in AI translator earbuds.

As the pioneer and innovator in cross-language communication solutions, Timekettle has relentlessly advanced the field through innovative products, marking a significant chapter in AI translation devices. Initially offering handheld translators for simple exchanges, Timekettle’s breakthrough came with the WT2 Plus Translator Earbuds, featuring HybridComm 1.0 for seamless, one-way translation and a speaker mode for broader communication. The subsequent launch of the WT2 Edge Real-time Translator Earbuds, with HybridComm 2.0, enabled natural, bidirectional conversations. The latest advancement, powered by HybridComm 3.0 featuring the AI Semantic Segmentation, significantly enhances translation efficiency and accuracy, marking a new era in near-human-level AI translation technology.
Leveraging the advanced TurboFast Technology, the AI Semantic Segmentation ensures a seamless and instant translation experience, helping the translated speech align perfectly with the speaker’s rhythm, and eradicating the issue of delayed translated output in crucial communication scenarios. It begins by grasping the core meaning of sentences. Once it aligns closely with the “entirely correct” benchmark, it begins translating while still processing the original voice, allowing users to hear the translated audio sooner.
Thanks to the AI Semantic Segmentation, the delay in receiving translated audio has been reduced by 200%, bringing its real-time translation capabilities on par with live interpretation. Internal test conducted recently revealed that with the AI Semantic Segmentation, a translated speech only delays a sentence lag time, while other traditional speech translation devices may experience significant delays of 30 to 40 seconds.
This significant reduction, cutting over 20 seconds of waiting time, has revolutionized continuous communication. Picture being at a conference room where attendees can instantly hear the translation of a sentence right as the speaker starts the next. Such a seamless flow of communication marks a new era of cross-language interaction, paving the way for a more connected world.
The AI Semantic Segmentation is now available on Timekettle WT2 Edge Real-time Translator Earbuds, M3 Language Translator Earbuds, and X1 AI Interpreter Hub (One-on-one mode, Listen & Play mode, and Ask & Go mode for now; Voice Call mode and more starting June 28th) and upon installing the latest software update for existing users. 
About Timekettle
Established in 2016, Timekettle is dedicated to advancing cross-language communication through innovative products and solutions. Recognized with numerous international accolades, including the CES Innovation Award, iF Design Award, and Japan Good Design Award, Timekettle’s products have proudly served the needs of cross-language communication in a variety of user scenarios, including abroad-living, traveling, multi-language meetings and classrooms, as well as in manufacturing and logistics, and beyond. Having solidified a user database of more than 400,000, Timekettle continues its journey as the Global No.1 AI Translator Device.
For further information, please visit https://www.timekettle.co/ or contact [email protected]
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