What industry-specific factors are fueling the growth of the natural language understanding market?
The surge in the adoption of artificial intelligence (AI) is set to catalyze the expansion of the natural language understanding industry in the upcoming times. AI encompasses a wide range of tools and algorithms that facilitate machines to mimic human intelligence – this involves tasks like problem-solving, learning from data, and decision-making. The increased uptake of AI can be ascribed to multiple elements: progression of computational power and cloud technology, access to substantial data for training algorithms, advancements in algorithm formulation and model betterment, as well as escalated capital injections and financial backing in AI research and development ventures. Natural language understanding incorporated into AI permits systems to decipher and react to human linguistics, magnifying competencies in areas like sentiment analysis, chatbots, and automated customer support. As an illustration, in May 2024, as per the Eurostat, a governing entity based in Belgium, large enterprises using AI technologies rose to 30.4% in 2023, a rise from 28.4% in 2021, suggesting a significant increase in AI solution uptake among these corporations. Consequently, the progressing adoption of artificial intelligence (AI) is fueling the growth of the natural language understanding marketplace.
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What Is the projected market size and growth rate for the natural language understanding market?
In recent times, the market size for natural language understanding has expanded immensely. The market value is projected to increase from $21.52 billion in 2024 to $28.42 billion in 2025, with a compound annual growth rate (CAGR) of 32.1%. Factors contributing to this growth in the past include the demand for real-time data analysis, advancements in healthcare diagnostics and monitoring, the escalation in semantic search, integration with business intelligence tools, and the surge in accessible data.
In the coming years, the market size for natural language understanding is anticipated to experience massive expansion. It is projected to grow to $85.64 billion in 2029 with a compound annual growth rate (CAGR) of 31.8%. This growth during the forecast period is due to factors such as the rapid deployment of chatbots, the expansion of digital transformation efforts, the demand for multimodal NLU, and the rise of conversational AI. Several future trends expected to influence the market include the incorporation of virtual reality (VR) and augmented reality (AR), developments in sentiment analysis, improvements in neural network architectures, and IoT incorporation.
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What new trends are reshaping the natural language understanding market and its opportunities?
Major players in the natural language understanding market are concentrating on developing data platforms equipped with large language model capabilities to gain a competitive advantage. A large language model is a sophisticated AI system that is trained on enormous amounts of text data to comprehend and generate language that mimics human speech, which is beneficial for various applications like translation and content creation. For example, in May 2024, the American-based International Business Machines Corporation, a provider of hybrid cloud and AI, formed a partnership with Salesforce Inc., another US-based company offering enterprise cloud computing solutions. This partnership aimed to integrate the AI and data platform capabilities of IBM Watsonx with the Salesforce Einstein 1 Platform, providing more options and flexibility for AI and data deployment to their customers. The Einstein 1 Platform enables companies to securely link any data to construct AI-powered low-code apps, which can enrich customer relationship management (CRM) experiences. This facilitates teams in making decisions based on data and taking actions directly within their workflow.
What major market segments define the scope and growth of the natural language understanding market?
The natural language understandingmarket covered in this report is segmented –
1) By Type: Rule-Based, Statistical, Hybrid
2) By Offering: Solutions, Services
3) By Deployment Type: Cloud-Based, On-Premise
4) By Application: Chatbots And Virtual Assistants, Customer Experience Management, Text Analysis, Sentiment Analysis, Interactive Voice Response (IVR) And Message Routing, Data Capture, Machine Translation, Other Applications
5) By Vertical: Banking, Financial Services And Insurance, Healthcare And Life Science, Retail And E-commerce, Information Technology And Information Technology Enabled Services (IT And ITeS), Transportation And Logistics, Government And Public Sector, Media And Entertainment, Manufacturing, Telecommunication, Other Verticals
Subsegments:
1) By Rule-Based: Syntax-based Parsing, Semantic-based Parsing, Grammar Rules, Expert Systems
2) By Statistical: Machine Learning, Probabilistic Models, Deep Learning Algorithms, Statistical Parsing
3) By Hybrid: Rule-Based and Machine Learning Integration, Statistical and Deep Learning Combination, Hybrid Parsing Techniques, Ensemble Methods
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Which region dominates the natural language understanding market?
North America was the largest region in the natural language understanding market in 2024. The regions covered in the natural language understanding market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which key market leaders are driving the natural language understanding industry growth?
Major companies operating in the natural language understanding market are Amazon Web Services Inc., Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., International Business Machines Corporation, Oracle Corporation, Baidu Inc., SAS Institute Inc., OpenAI, DataBricks Inc, Teradata Corporation, Qualtrics, C3.ai Inc, H2O.ai, SoundHound Inc., Iodine Software LLC, Inbenta, Crayon Data, Haptik Inc.
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What Is Covered In The Natural Language Understanding Global Market Report?
•Market Size Forecast: Examine the natural language understanding market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the natural language understanding market for a structured understanding.
•Key Players Overview: Analyze major players in the natural language understanding market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the natural language understanding market.
•Segment Contributions: Evaluate how different segments drive overall growth in the natural language understanding market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the natural language understanding market.
•Industry Challenges: Identify potential risks and obstacles affecting the natural language understanding market.
•Competitive Landscape: Review strategic developments in the natural language understanding market, including expansions, agreements, and new product launches.
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