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Natural Language Processing (NLP) Market worth $249.97 billion by 2031 | Report by MarketsandMarkets™

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 DELRAY BEACH, Fla., June 26, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Natural Language Processing Market is projected to grow from USD 70.11 billion in 2026 to USD 249.97 billion by 2031, at a CAGR of 29% during the forecast period.

Browse 370 market data Tables and 75 Figures spread through 432 Pages and in-depth TOC on ‘Natural Language Processing Market – Global Forecast to 2031’

Natural Language Processing Market Size & Forecast:

Market Size Available for Years: 2021–20312025 Market Size: USD 52.06 billion2026 Market Size: USD 70.11 billion2031 Projected Market Size: USD 249.97 billionCAGR (2026–2031): 29.3%

Natural Language Processing Market Trends & Insights:

The market is witnessing significant growth as enterprises increasingly adopt AI-driven language technologies to extract insights from large volumes of unstructured text and speech data.By offering, the software segment is estimated to account for the largest share of 70.3% in 2026.The natural language understanding (NLU) segment is account for largest share of 39.8% in 2026.By technology, RAG-enabled NLP is slated to grow at the fastest rate between 2026 and 2031.Asia Pacific is poised to register the highest growth rate of 29.0% CAGR over the forecast period.

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The Natural Language Processing Market is expanding rapidly as organizations adopt advanced AI technologies to transform how they analyze and manage large volumes of language-based data. Growth is driven by the increasing need for intelligent automation, real-time language insights, and enhanced digital engagement across enterprise applications. Demand continues to rise as businesses implement AI-driven assistants, automated knowledge discovery, and contextual text analytics to improve productivity and customer experience. The market is further influenced by trends such as the development of foundation models, scalable AI platforms, and secure data processing environments that support enterprise-grade deployments. These advancements are enabling more adaptive, efficient, and intelligent language processing capabilities across modern digital ecosystems.

By capability, the text analytics segment is poised to dominate the market in 2026.

Text analytics holds the largest market share among NLP applications due to its widespread use in enterprise content management, customer communication analysis, and automated document processing. Organizations deploy these capabilities to categorize large volumes of text data, extract key insights, and generate concise summaries from reports, emails, and knowledge repositories. These solutions support faster information discovery, improved decision-making, and enhanced operational productivity across industries. Integration with cloud-based AI platforms and enterprise analytics systems further strengthens adoption as businesses seek scalable tools to manage growing volumes of unstructured data in digital environments.

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The healthcare & life sciences vertical is set to register the fastest growth during the forecast period.

The healthcare and life sciences sector is experiencing the fastest growth as organizations prioritize advanced AI technologies to analyze complex medical data and improve patient outcomes. By integrating natural language processing with clinical documentation systems, electronic health records, and research databases, healthcare providers can extract insights from unstructured medical text and automate administrative workflows. This approach enhances clinical decision-making, improves operational efficiency, and supports real-time information access for medical professionals. Hospitals, research institutions, and pharmaceutical companies increasingly deploy NLP platforms to enable medical text analysis, patient interaction automation, and healthcare analytics. As healthcare organizations emphasize digital transformation and data-driven care delivery, the Healthcare & Life Sciences vertical is emerging as the fastest-growing segment in the Natural Language Processing Market.

By region, North America is estimated to account for the largest market during the forecast period.

North America is expected to dominate the Natural Language Processing Market in 2026 due to strong adoption of artificial intelligence technologies and significant investments in enterprise AI infrastructure. The region benefits from the presence of leading technology providers, advanced cloud ecosystems, and a strong innovation landscape supporting large-scale AI development. Organizations across sectors such as finance, healthcare, technology, retail, and government widely deploy NLP solutions to automate document processing, enhance customer engagement, and generate insights from unstructured data. Continued enterprise AI adoption, expansion of generative AI platforms, and increasing demand for intelligent automation further strengthen North America’s leading position in the NLP Market.

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Top Companies in Natural Language Processing Market:

The Top Companies Natural Language Processing Market include IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Salesforce (US), OpenAI (US), Inbenta (US), LivePerson (US), SoundHound AI (US), Veritone (US), Dolby (US), Bitext (US), Conversica (US), UiPath (US), Observe.ai (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), DeepSet (US), Ellipsis Health (US), Verbit.ai (US), Rasa (US), TextRazor (England), and Cohere (Canada).

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About MarketsandMarkets™ 

MarketsandMarkets™ has been recognized as one of America’s Best Management Consulting Firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe.

Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem.

The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts.

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HoundDog.ai Named Best GDPR Compliance Platform in The Hacker News 2026 Cybersecurity Stars Awards

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Code-grounded GDPR compliance software recognized for replacing survey-based ROPAs and DPIAs with continuous, evidence-based privacy reporting that keeps up with development speed

SAN FRANCISCO, June 26, 2026 /PRNewswire/ — HoundDog.ai, the privacy code scanning company, today announced it has been named the winner of Best GDPR Compliance Platform in the 2026 Cybersecurity Stars Awards presented by The Hacker News.

“HoundDog.ai builds a code scanner that surfaces how personal data actually moves through applications and integrations, helping privacy teams keep their compliance records aligned with the code they’re shipping,” said the Hacker News judging panel. “It addresses a real gap in how organizations understand and document their data flows.”

For companies that build software applications, traditional workflows for keeping track of processing activities break. Survey-driven ROPAs and DPIAs do not scale: they overwhelm engineering with every release, are inherently inaccurate, and sit quarters behind the codebase. Legacy privacy platforms infer data flows from production after the data is already flowing, miss third-party and AI integrations embedded directly in code, and force teams into documenting risks instead of preventing them. HoundDog.ai’s Privacy Code Scanner closes that gap with privacy reporting grounded in code-based evidence.

What makes HoundDog.ai different is keeping GDPR data mapping aligned with code reality, enabling proactive data minimization instead of reactive cleanup, eliminating blind spots in AI governance and shadow AI, and enforcing privacy by design with code-level evidence under EU AI Act and HIPAA obligations. Privacy teams embed their privacy policies and DPAs as allowlists that flag out-of-bounds pull requests, while new data flows and subprocessors surface as suggested ROPA edits at dev speed. Coverage spans 1,000+ third-party and AI integrations and 100+ sensitive data types.

HoundDog.ai is deployed by Fortune 1000 companies in tech, healthcare, and finance. At a publicly-listed travel management company, the scanner uncovered a number of privacy risks, including excessive log leaks and undocumented subprocessors that had accumulated over the years. It is embedded in Replit’s AI app generation workflow, running 10,000+ daily scans across 45 million+ developers.

About HoundDog.ai

HoundDog.ai’s deterministic dataflow analysis powers shift-left privacy programs and faster, more reliable AI-assisted development. The company builds two products: the Dataflow Context Engine for AI coding agents and developers, and the Privacy Code Scanner for privacy, security, and compliance teams. Learn more at hounddog.ai.

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SOURCE HoundDog.ai, Inc.

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Frost & Sullivan Identifies Digital Trust Platforms as the Next Growth Frontier in the Global eSignature Ecosystem

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Growing AI-enabled fraud, evolving digital identity regulations, and increasing demand for high-assurance digital transactions are accelerating the shift from standalone eSignatures to integrated digital trust platforms

LONDON, June 26, 2026 /CNW/ — Frost & Sullivan’s latest analysis, Frost Radar™: Digital Trust and eSignature Ecosystem, 2026, reveals that enterprises are increasingly moving beyond basic electronic signatures toward comprehensive digital trust platforms that integrate identity verification, cryptographic assurance, and long-term document integrity.

As organisations contend with sophisticated cyber threats, AI-generated fraud, and expanding regulatory requirements, digital trust has emerged as a strategic business imperative rather than simply a compliance requirement. The global digital trust and eSignature ecosystem is projected to generate $13.48 billion in revenue in 2026, reaching approximately $20.84 billion by 2031, representing a compound annual growth rate (CAGR) of 9.1%.

“The market is undergoing a fundamental transformation,” said Riana Barnard, Industry Analyst at Frost & Sullivan. “Organisations are no longer evaluating electronic signatures as standalone workflow tools. Instead, they are investing in integrated digital trust platforms capable of verifying identities, protecting transaction integrity, ensuring long-term legal defensibility, and supporting increasingly complex regulatory requirements across global markets.”

Frost & Sullivan identifies several transformative trends reshaping the market. As enterprises digitise increasingly complex workflows, demand is accelerating for end-to-end digital trust platforms that unify electronic signatures, identity verification, cryptographic assurance, and document integrity within a single interoperable architecture. Rather than focusing solely on the act of signing, organisations are seeking solutions that establish trust across the entire digital transaction lifecycle.

At the same time, the rapid proliferation of AI-generated fraud and synthetic identities is elevating the importance of robust identity verification, explainable AI, and resilient cryptographic frameworks capable of protecting high-value digital transactions.

Regulatory developments, including eIDAS 2.0 and the European Digital Identity Wallet framework, are further driving demand for trusted cross-border digital identity services, while growing awareness of post-quantum cybersecurity risks is encouraging organisations to embed cryptographic agility into long-term technology strategies.

As automation continues to expand, digital trust is also evolving beyond human users to encompass machine identities, software integrity, and autonomous business processes, reinforcing trust as foundational infrastructure for the digital economy.

“The Frost Radar™ confirms that sustainable advantage in digital trust will go to vendors that orchestrate identity, signature, and integrity as a coherent system,” added Barnard.

“Providers that extend trust beyond the signature – embedding KYC, biometrics, reusable credentials, timestamps, seals, and long-term preservation into standard workflows – will outperform as enterprises standardise on high-assurance digital execution.”

Selected from approximately 80–100 active vendors globally, the Frost Radar™: Digital Trust and eSignature Ecosystem, 2026 evaluates 13 leading providers across both innovation and growth performance including Adobe, DigiCert, DocuSign, Dropbox, Entrust, Namirial, OneSpan, Scrive, Skribble, Thales, Tinexta InfoCert, Yousign, and Zoho, providing technology buyers with strategic guidance on the rapidly evolving digital trust landscape.

To claim your complimentary extract from this Growth Opportunity Analysis, click here.

To purchase the full report, please visit our store: Frost Radar™: Digital Trust & eSignature 2026

About Frost & Sullivan

Frost & Sullivan, the Transformational Growth Company, enables clients to accelerate growth and achieve best-in-class positions in growth, innovation, and leadership. The company’s Growth Pipeline as a Service provides the CEO’s Growth Team with transformational strategies and best-practice models to drive the generation, evaluation, and implementation of powerful growth opportunities. For over 60 years, Frost & Sullivan has partnered with investors, corporate leaders, and governments to identify, prioritise, and execute transformational growth strategies.

Contact:

Kristina Menzefricke
Marketing & Communications
Global Customer Experience, Frost & Sullivan
kristina.menzefricke@frost.com

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University of Phoenix Launches Three New Artificial Intelligence Professional Development Pathways

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New offerings help employees, senior leaders and healthcare professionals build practical AI skills for workplace application, governance and healthcare settings

PHOENIX, June 26, 2026 /PRNewswire/ — University of Phoenix has launched three new professional development pathways designed to help organizations build artificial intelligence (AI) capabilities across the workforce, leadership teams and healthcare environments. The new offerings include AI for the Workforce: Practical AI Skills for Everyday Work, AI Governance and Strategic Oversight for Senior Leaders, and Applying AI in Healthcare. Together, the pathways provide targeted learning experiences that address the growing need for AI knowledge, practical application and responsible adoption across organizational roles.

“As organizations increasingly integrate AI into everyday work and decision-making, there is growing demand for practical skill development across the workforce,” said Mukund Sudarsan, vice president and general manager of Professional Development Programs at University of Phoenix. “These pathways help employees, leaders and healthcare professionals build the skills needed to use AI effectively and responsibly.”

The need for AI skill development continues to grow. According to the University of Phoenix Career Institute® 2026 Career Optimism Index® study, 50% of workers say they are learning to use AI independently, while 60% report wanting more guidance in learning AI tools. To address these evolving needs, University of Phoenix developed three distinct pathways focused on workforce skills, executive oversight and healthcare applications of AI.

Pathway 1: AI for the Workforce: Practical AI Skills for Everyday Work

Designed for employees seeking practical AI skills for everyday work, this pathway focuses on productivity, communication, collaboration and decision-making using AI tools.

Key learning areas include:

Evaluating AI outputsBusiness communicationData insights

Pathway 2: AI Governance and Strategic Oversight for Senior Leaders

Designed for executives and senior leaders, this pathway focuses on governance, oversight and strategic decision-making related to AI adoption. The curriculum emphasizes executive AI fluency and responsible implementation.

Key learning areas include:

AI strategy and functionalityAI investment evaluationData visualization and insights

Pathway 3: Applying AI in Healthcare

Designed for healthcare professionals and healthcare organizations, this pathway focuses on practical and responsible applications of AI in healthcare settings.

Key learning areas include:

Healthcare data analysisEthical AI practicesClinical documentation

Workforce Solutions capabilities support supplier performance and alignment

University of Phoenix’s professional development offerings deliver workforce-focused education solutions that align learning with operational priorities, supporting organizations as they adapt to evolving business demands. The University’s approach emphasizes structured skill development through targeted training programs designed to reflect real-world workplace scenarios.

This model supports employer partners seeking to adapt to changing operational requirements while maintaining focus on performance standards and continuous improvement. Wabash’s recognition reflects these solutions and the importance of partners that connect workforce development strategies with business execution.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu.

About University of Phoenix Workforce Solutions

University of Phoenix Workforce Solutions helps companies align employee development to business strategy through skills-based solutions designed to address evolving workforce needs. Its Adaptable Skills Solutions brings together professional development, education savings and AI skills intelligence provided through Skillmore, a UOPX affiliate, to support workforce planning, retention and talent mobility. By combining data, tools and education resources, Workforce Solutions offers practical ways to identify skills gaps, inform workforce decisions and prepare employees for long-term adaptability in a rapidly changing workplace. 

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