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Artificial Intelligence

Natural Language Processing Market Size to Surpass USD 112.28 Billion by 2030, exhibiting a CAGR of 24.6%

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Pune, India, May 16, 2023 (GLOBE NEWSWIRE) — According to Fortune Business Insights, global natural language processing market size was valued at USD 19.68 billion in 2022 and is projected to grow from USD 24.10 billion in 2023 to USD 112.28 billion by 2030, exhibiting a CAGR of 24.6% during the forecast period. Rising Adoption Of Advanced Technologies to Propel Market Development. Fortune Business Insights presents this information in its report titled “Natural Language Processing Market Forecast, 2023-2030”.

Natural language processing is a combination of rule-based modeling of the human language, which represents data in machine learning, statistical, and deep learning models. NLP is required when an intelligent system such as a robot performs as per user instructions.

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Key Industry Development

March 2023- Amazon collaborated with IIT Bombay launched Amazon IIT–Bombay AI-ML Initiative. The programme has advanced machine learning and artificial intelligence research within language, speech, and multimodal-AI domains.

Key Takeaways:

  • Natural language processing market size in North America was USD 9.04 Billion in 2022
  • Heightened adoption of digital technology-based software among enterprises and global businesses will create a favorable outlook for the market
  • The global demand is driven by technological advancements in AI
  • The high tech and telecom segment is expected to hold a major market share during the projected period

Discover the Leading Players Featured in the Report:

“Companies leading the natural language processing market are Hewlett Packard Enterprise Development LP (U.S.), Amazon.com, Inc. (U.S.), Google, LLC. (Alphabet) (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Inbenta Holdings Inc. (U.S.), Linguamatics (U.K.), SoundHound AI, Inc. (U.S.), NetBase Quid, Inc. (U.S.), JUST AI LIMITED (U.K.)”

Report Scope & Segmentation:

Report Coverage Details
Forecast Period 2023 to 2030
Forecast Period 2023 to 2030 CAGR 24.6%
2030 Value Projection USD 112.28 Billion
Base Year 2022
Natural Language Processing Market Size in 2022 USD 19.68 Billion
Historical Data for 2019 to 2021
No. of Pages 180
Segments covered Deployment, Enterprise Type, Technology, Industry and Geography

Browse Complete Report Details: https://www.fortunebusinessinsights.com/industry-reports/natural-language-processing-nlp-market-101933

Drivers and Restraints

Adoption Of Cloud-Based NLP And AI-Based Software To Drive Market Trajectory

Adoption of cloud-based NLP and AI-based software among small & medium businesses is anticipated to drive natural language processing market growth. Organizations have been adopting NLP solutions based on cloud which reduces the time and collect insightful data and processing. Technological advancements in AI transformed big data analytics and has driven efficient services by automating time-consuming data collection tasks.

However, data security concerns are anticipated to hinder market development.

Segmentation:

By Deployment

  • On-Premises
  • Cloud
  • Hybrid

By Enterprise Type

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Technology

  • Interactive Voice Response (IVR)
  • Optical Character Recognition (OCR)
  • Text Analytics
  • Speech Analytics
  • Classification and Categorization
  • Pattern and Image Recognition
  • Others (Auto Coding, Professional Services)

By Industry

  • Healthcare
  • Retail
  • High Tech and Telecom
  • Banking, Financial Services, and Insurance (BFSI)
  • Automotive & Transportation
  • Advertising & Media
  • Manufacturing
  • Others (Government, Energy & Power)

By Region

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • South America

Regional Insights

North America To Lead Market Due To Presence Of Majority Market Players

North America is expected to dominate natural language processing market share due to presence of majority market players. IBM Corporation, Alphabet LLC, Oracle Corporation, Microsoft Corporation, and others are some of the market players in the region. The region reached a valuation of USD 9.04 billion with the development of advanced technology-based NLP platforms.

Europe is also expected to have a considerable growth due to rising cloud computing adoption among enterprises. About 42% of the European companies adopted these services in 2021.

Asia Pacific is anticipated to have the highest CAGR owing to growing focus on adopting AI, deep learning, and machine learning technology.

Quick Buy – Natural Language Processing Market Research Report:

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Competitive Landscape

Key Players to Expand Market Owing to Acquisition Strategies

Primary industry players of the market Hewlett Packard Enterprise Development LP, Amazon.com, Inc., and Google, LLC. (Alphabet), SAP SE, IBM Corporation, and others have been adopting corporate strategies such as partnerships, mergers, acquisitions, and collaborations to gain market traction. In July 2022, SAP SE acquired Askdata which will help businesses to make well-informed choices with the support of AI-driven natural language searches.

   

FAQs

How big is the natural language processing market?

Natural language processing market size was USD 19.68 billion in 2022. It is expected to reach USD 112.28 billion by 2030.

How fast is the natural language processing market growing?

The natural language processing market will exhibit a CAGR of 24.6% during the forecast period, 2023-2030.

Related Reports:

Machine Learning Market Size, Share, Revenue Forecast and Opportunities

Artificial Intelligence Market Overview, Industry Share and Forecast

Big Data Analytics Market Size, Share, Opportunities & Analysis

About Us:

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them to address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

Contact Us:

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APAC: +91 744 740 1245

Email: [email protected]

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Artificial Intelligence

Stamus Networks Participates in NATO CCDCOE Locked Shields Exercise

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Leading network-based threat detection and response company part of international contingent lending personnel and technology to support world’s largest live-fire cyber defense exercise
TALLINN, Estonia, April 24, 2024 /PRNewswire/ — Stamus Networks, a global provider of high-performance network-based threat detection and response (NDR) systems, today announced its participation in Exercise Locked Shields, the largest and most complex international live-fire cyber defense exercise in the world. The annual event, which takes place this week, is organized by the NATO Cooperative Cyber Defence Centre of Excellence (CCDCOE) and aims to provide a multinational platform for enhancing partners’ cyber resilience and cooperation capabilities in a high-paced, crisis-like environment.

The exercise pits Red Teams (attackers) against Blue Teams (defenders), utilizing realistic scenarios, cutting-edge technologies, complex networks and diverse attack methods. Teams of civil and military experts must cooperate to defend critical infrastructure systems from cyberattacks.
“This exercise is a demonstration of the power of international cooperation, transcending borders, and uniting a diverse community of experts from the public and private sectors and academia,” said LtC Urmet Tomp, exercise director at NATO CCDCOE. “We are grateful for the dedication and expertise of our allies and all our partners, which are crucial in building a resilient global cyber defense.”
Since 2016, the Stamus Networks team has partnered with CCDCOE in exercises, including Locked Shields and Crossed Swords, contributing expert personnel and putting its Stamus Security Platform (SSP), the company’s flagship network-based threat detection and response system, to the test.
“True cyber resilience must be accomplished through collaboration, and there’s no better example of that on the international level than Exercise Locked Shields,” said Stamus Networks’ CEO Ken Gramley. “The lessons learned and key takeaways from the live-fire exercises that we’ve participated in over the years have been instrumental in helping organizations around the world build up defenses against today’s sophisticated cyber threats. We look forward to collaborating with experts again at this year’s exercise, not only to strengthen our own solutions, but to help defenders elevate their status as cyber heroes around the world.”
To learn more about the NATO CCDCOE and Exercise Locked Shields, visit the website: https://ccdcoe.org/exercises/locked-shields/.
About Stamus Networks: Stamus Networks believes in a world where defenders are heroes, and a future where those they protect remain safe. As organizations face threats from well-funded adversaries, we relentlessly pursue solutions that make the defender’s job easier and more impactful. The global leader in Suricata-based network security solutions, Stamus Networks helps enterprise security teams know more, respond sooner and mitigate their risk with insights gathered from cloud and on-premise network activity. Our Stamus Security Platform combines the best of intrusion detection (IDS), network security monitoring (NSM), and network detection and response (NDR) systems into a single solution that exposes serious and imminent threats to critical assets and empowers rapid response. For more information visit: stamus-networks.com.
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Artificial Intelligence

Appdome MOBILEBot™ Defense Empowers Mobile Brands to Equalize Web Application Firewall Performance and Stop Bots Attacks Better

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New adaptive defense model allows network security teams to adjust detection and defense rules to get the most out of existing web application firewalls.
REDWOOD CITY, Calif., April 24, 2024 /PRNewswire/ — Appdome, the mobile app economy’s one-stop shop for mobile app defense, today announced three new enhancements to its MOBILEBot™ Defense solution to empower mobile brands to get more value and control from their existing web application firewall (WAF) infrastructures by adjusting the evaluation, detection, and defense policy to suit each WAF product and installation.

Cybercriminals have shifted their focus to mobile bot attacks, including weaponizing mobile apps, modified mobile apps, malware controlled mobile apps, fake mobile apps, as well as the common bot tactics like bot farms and scripts to perform brute force account takeovers, DDoS attacks and API abuse. WAF vendors have responded by providing customers with anti-bot SDKs. However, anti-bot SDKs impose too much work and too many limits on mobile app developers with too heavy a performance penalty on mobile apps in production. In addition, using these anti-bot SDKs also require costly changes to WAF infrastructures. Appdome MOBILEBot Defense provides the only way to avoid these complex challenges, making it easy for customers to deliver mobile anti-bot defense on top of any installed WAF.
The Appdome MOBILEBot Defense solution is fully portable across all new and old, on-premise and cloud WAFs. The new enhancements to MOBILEBot Defense provide adaptive evaluation, detection and defense rules that can ease and balance the compute burden on existing WAFs and infrastructures, enabling mobile brands to proactively identify and thwart bot attacks, all while reducing the strain on traditional WAFs, including those WAFs reaching their end-of-service horizons. The new Appdome enhancements allow enterprises, network security teams and mobile brands to extend the useful life of WAFs and deliver more ROI from their existing WAF investments.
“Mobile brands need to stop bot attacks, but they also need to get the most out of their WAF infrastructures and avoid costly or unplanned WAF upgrades,” said Tom Tovar, CEO and co-creator of Appdome. “Any mobile brand will likely have multiple WAFs, each with different performance characteristics. Our goal is to allow the brand to tailor the bot defense profile to meet the performance characteristics of each WAF.”
The new innovations in Appdome MOBILEBot Defense include:
Appdome DEVICETrust™: DEVICETrust is an innovative way to set the evaluation mode for connection requests and screen bot traffic and attacks. With it, mobile brands have the power to set the trust level for each threat vector and, depending on the trust setting, determine where, when and how bot detection and defense is performed. This allows for customizable trust models based on the class and type of WAF used in the bot defense infrastructure. With the new trust model mobile brands can select and prioritize the security checks that are most important to their mobile app security project goals with the click of a button.
Three modes of DEVICETrust are available with Appdome MOBILEBot Defense:
Adaptive Trust – uses the Appdome Bot Defense Framework™ intelligence to dynamically adjust the evaluation model based on the responsiveness of each WAF connected to MOBILEBot defense. Runtime-Trust – allows connection requests to proceed while threat assessment and checks are in process.Zero-Trust – holds connection requests until threat assessment and checks are complete.Appdome Bot Source and BotID:  Bot Source and BotID give mobile brands the ability to achieve continuous risk assessments by adding any data, such as business logic, to specific users and sessions in a mobile app, giving the WAF more granular rules and automated enforcement at the point of the attack, including on connection, at login, transaction, password reset, or other key application workflows.
Appdome Client Rate Limiting: Client rate limiting leverages the compute and processing power of the mobile device used in the attack, performing rate-limiting enforcement within the mobile app. Configurable limits on how frequently a user can perform an action, such as attempting to log in, within a defined timeframe. This approach is better than only relying solely on server-side rate limiting which can be susceptible to brute force and DDoS attacks.
“We’re working hard to ensure that our customers get the most out of their WAF infrastructure,” said Chris Roeckl, Appdome chief product officer. “WAFs are high performance, very capable, platforms. The antibot SDKs provided by WAF vendors are not. We’re trying to bridge the gap and give mobile brands something they can use to stop bots quickly, easily and efficiently.” 
About Appdome MOBILEBot Defense Appdome MOBILEBot Defense is the industry’s only comprehensive and fully portable anti-bot defense solution built-from-the-ground-up for mobile apps. It offers mobile brands multi-layered bot detection, intelligence, and defense all in one solution, easily protecting the mobile channel from 300+ attack vectors including fake apps, weaponized apps, malware-controlled apps, bot attacks, credential stuffing, DDoS and account takeovers (ATOs). It requires no SDK, no coding, and no added servers to deploy, and is fully compatible with all coding languages and frameworks used in mobile app development. Appdome MOBILEBot Defense is also the only product to work seamlessly with any WAF used in a mobile brand’s network. With Appdome, mobile brands are more efficiently and effectively protected from bot-driven malicious attacks, fraud, IP theft, performance drains and compliance issues at lower cost and complexity than legacy approaches.  For more information about Appdome MOBILEBot Defense, see our Knowledge Articles at  https://www.appdome.com/how-to/mobile-bot-detection/mobile-bot-defense/mobilebot-detection/.
About Appdome The Appdome mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides the mobile industry’s only Unified Mobile App Defense platform, powered by a patented mobile coding engine, Threat-Events™ Threat-Aware UX/UI Control, and ThreatScope™ Mobile XDR. Using Appdome, mobile brands eliminate complexity, ship faster and save money by delivering 300+ Certified Secure™ mobile app security, anti-malware, anti-fraud, mobile anti-bot, anti-cheat, geo compliance, MiTM attack prevention, code obfuscation, social engineering and other protections in Android and iOS apps with ease, inside the mobile DevOps and CI/CD pipeline. Leading financial, healthcare, government and m-commerce brands use Appdome to protect Android and iOS apps, mobile customers and mobile businesses globally. Appdome holds several patents including U.S. Patents 9,934,017 B2, 10,310,870 B2, 10,606,582 B2, 11,243,748 B2 and 11,294,663 B2. Additional patents pending.
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Artificial Intelligence

“Sopra Steria” is positioned as a Leader in the 2024 SPARK MatrixTM for Cloud-Native Application Development Services by Quadrant Knowledge Solutions

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The Quadrant Knowledge Solutions SPARK Matrix™ provides competitive analysis & ranking of the Cloud-Native Application Development Services (CNADS) vendors.  Sopra Steria, with its comprehensive technology for Cloud-Native Application Development Services, has received strong ratings across the parameters of technology excellence and customer impact.PARIS, April 24, 2024 /PRNewswire/ — Sopra Steria and Quadrant Knowledge Solutions announced today that Sopra Steria has been named as a leader in the Q1 2024 SPARK MatrixTM analysis of the global CNADS market.

 
 
The Quadrant Knowledge Solutions’ SPARK Matrix™: Cloud-Native Application Development Services, includes a detailed analysis of global market dynamics, major trends, vendor landscape, and competitive positioning. The study provides competitive analysis and ranking of the leading technology vendors in the form of its SPARK Matrix™. The study offers strategic information for users to evaluate different provider capabilities, competitive differentiation, and market position.
According to Sitaparna Roy, Analyst at Quadrant Knowledge Solutions, “Sopra Steria through its Modern Apps Development Services helps organizations to convert their ideas into Minimum Viable Product (MVP) and monitor all the development stages to production with unparalleled speed, efficiency, and productivity. It facilitates this by offering Enterprise Architect Services, Low- code/ No-code services and Cloud-Native Application development Services in its Modern Apps Development Services portfolio. […] It supports innovation through adoption of the latest technologies and tools for generating new ideas for products, services, and tools. Sopra Steria’s unique ‘BizDevSecOps’ approach for end-to-end digital transformation supports effective communication and collaboration between businesses and team operations throughout the software development life cycle.”
“Sopra Steria is proud to be recognized once again as a leader in Cloud-Native Application Development Services by Quadrant Knowledge Solutions. Our commitment to innovation, customer-centricity, and excellence in service delivery has enabled us to maintain this position for the third consecutive year. We believe that our comprehensive approach to modern application development, supported by our Cloud Center of Excellence and Ingine Platform, empowers organizations to achieve their digital transformation goals efficiently and effectively.”, comments Yann Gloriau, Cloud expert at Sopra Steria.
Click here to know more.
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CONTACT: Aurélien Flaugnatti, [email protected]
 

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