Natural Language Processing Market - Growth, Trends, and Forecast (2019 - 2024)

The Natural Language Processing Market is segmented by Application (Speech Analytics, Text Analytics, and Sentiment Analytics), Deployment (Public Cloud and Private Cloud), End-user Industry, Technology (Recognition, Operational, and Analytical), and Region.

Market Snapshot

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Study Period:

2016-2024

Base Year:

2018

Fastest Growing Market:

Asia Pacific

Largest Market:

North America

Key Players:

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Market Overview

The natural language processing market is expected to register a CAGR of over 22.5% during the forecast period, 2019 - 2024. Over the past few years, deep learning architectures and algorithms have made impressive advances in the fields of image recognition and speech processing. The application to natural language processing (NLP) has proven to make significant contributions, yielding state-of-the-art results for some complex NLP application tasks.

  • Using the internet and an ever-expanding means of communication, consumption, and interaction have empowered consumers. Companies have been forced to rethink their branding and business models. In today’s competitive marketplace, attracting customers from competitors requires more than the dominant product-centric or company-centric model.
  • These channels offer businesses opportunities to implement AI-powered chatbots that are proficient at dealing with inquiries. In some cases, they can even predict a customer’s next action and pre-empt inquiries with proactive communication.
  • The IIoT is driving unprecedented disruption in the industry that was hampered by a shortage of skilled workforce. The technology is also set to aid cost efficiency in the industry. Technical skills are needed to implement, develop, road map infrastructure, manage security, and capture and analyze data. Experienced developers who are well versed with styles, languages, and mechanisms of different applications are vital for the implementation of NLP. There is a lack of such trained professional across industries.
  • The transition from the existing legacy system to SaaS platforms is an expensive process, involving technical and non-technical resources and challenges. Also, the lack of understanding of cloud computing migration leads to many migration failures in achieving organization goals. These challenges of modernizing the existing legacy systems and high software migrating cost are hindering the growth of the market studied.

Scope of the Report

Natural language processing (NLP) is a well-known artificial intelligence feature that is being implemented universally, through consumer digital assistants and chat-bots, along with commercial applications in the field of textual analysis, voice sense (speech analysis), sentimental analysis, and change impact analysis. 

By Application
Speech Analytics
Text Analytics
Sentiment Analysis
Pattern and Image Recognition
Interactive Voice Response (IVR)
Optical Character Recognition (OCR)
By Deployment
Public Cloud
Private Cloud
Hybrid Cloud
By End-user Industry
IT and Telecom
Healthcare
Retail
BFSI
Other End-user Industries (Manufacturing, Media and Entertainment, Research and Education)
By Technology
Recognition
Operational
Analytical
Geography
North America
US
Canada
Rest of North America
Europe
Germany
UK
France
Rest of Europe
Asia-Pacific
India
China
Japan
Rest of Asia-Pacific
Rest of the World

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Key Market Trends

Speech Analytics is Expected to Register a Significant Growth

Speech analytical solutions can enable users to gain insights and to make critical business decisions, by providing more in-depth and faster analysis of voice data, with context and relevance, across multiple channels. Speech analytics solutions are gaining immense importance in enterprises across the world since the traditional text-based analytics solutions used by enterprises are no longer enough to handle complex business issues.

 

Many enterprises have implemented speech analytics through a combination of internally recorded data, social media data, and external syndicated data, to create cutting-edge analytics solutions in order to gain a better understanding of their customer requirements.

 

The on-premises speech analytics segment is dominating, as organizations with complex IT structures that require a high number of integrations (with other applications, such as marketing, CRM, sales support, and technical support tools) usually prefer the on-premise model to mitigate compatibility issues.

 

However, growing investment in cloud technologies is estimated to shift the trend to on-cloud speech analytics platforms. Additionally, the on-cloud model offers automatic updates, increased scope for collaboration, and scalability benefits over other deployment models.

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North America is Expected to Have Highest Market Share

The rising big data volume, coupled with the increasing demand to enhance consumer satisfaction in the United States, is expected to drive the NLP market growth in the country. The country is focusing on its defense sector, primarily associated with technological advancements. In September 2018, the defense advanced research projects agency (DARPA) announced to boost its investment in AI over the next five years, worth USD 2 billion. As a result, it is likely to have a positive impact on the NLP market growth in the country over the forecast period.

In addition, in May 2018, the United States and the United Kingdom launched an AI hub to innovate new disruptive technologies for security and defense applications, which can bolster the advanced utilization of NLP.

Furthermore, the increasing demand for speech analytics in the United States has compelled the companies to form partnerships and offer exceptional services. For instance, in August 2018, Amazon and Microsoft launched Cortana-Alexa public preview for Windows 10 PCs and Echo speakers in the United States, which would allow the customers to have the benefits of both the assistants at the same time. Thus, it will create an enhanced customer experience with diverse added benefits, thereby, attracting more consumers, which in turn is projected to have a positive impact on the market growth in the country.

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Competitive Landscape

The natural language processing market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with prominent shares in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market shares and profitability. The companies operating in the market are also acquiring start-ups working on natural language processing technologies to strengthen their product capabilities. In April 2018, Microsoft acquired Semantic Machines. The motto behind the acquisition was to build voice AIs closer to that of humans. The company plans to establish a conversational AI center of excellence in Berkeley, California, in order to experiment and integrate ‘natural language processing (NLP) technology’ in its products, like Cortana.

Major Players

  1. Google LLC
  2. 3M Company (3M)
  3. SAS Institute Inc.
  4. IBM Corporation
  5. Verint System Inc.

* Complete list of players covered available in the table of contents below

Natural Language Processing Market

Download the market shares of key players in this industry.

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Deliverables

    2. 1.2 Study Assumptions

    3. 1.3 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Market Drivers

      1. 4.2.1 Shifting Trend from Product-centric to Customer-centric Experience

      2. 4.2.2 Increasing Demand for Smart Devices across Industrial Internet of Things (IIoT)

      3. 4.2.3 Significant Advancement in Machine-to-Machine Communication Technology

      4. 4.2.4 Increasing Amount of Digital Data with the Rise in Use of Smart Devices

    3. 4.3 Market Restraints

      1. 4.3.1 Lack of Skilled Professionals Across the Industry

      2. 4.3.2 Complexity in the Shift from Traditional to Advanced Technology, due to Fluctuating Customer Adoption Trends.

      3. 4.3.3 Need for Effective Predictive Technologies, to Narrow the Gap between Machines and Humans

    4. 4.4 Value Chain / Supply Chain Analysis

    5. 4.5 Porter's Five Forces Analysis

      1. 4.5.1 Threat of New Entrants

      2. 4.5.2 Bargaining Power of Buyers/Consumers

      3. 4.5.3 Bargaining Power of Suppliers

      4. 4.5.4 Threat of Substitute Products

      5. 4.5.5 Intensity of Competitive Rivalry

  5. 5. MARKET SEGMENTATION

    1. 5.1 By Application

      1. 5.1.1 Speech Analytics

      2. 5.1.2 Text Analytics

      3. 5.1.3 Sentiment Analysis

      4. 5.1.4 Pattern and Image Recognition

      5. 5.1.5 Interactive Voice Response (IVR)

      6. 5.1.6 Optical Character Recognition (OCR)

    2. 5.2 By Deployment

      1. 5.2.1 Public Cloud

      2. 5.2.2 Private Cloud

      3. 5.2.3 Hybrid Cloud

    3. 5.3

    4. 5.4 By End-user Industry

      1. 5.4.1 IT and Telecom

      2. 5.4.2 Healthcare

      3. 5.4.3 Retail

      4. 5.4.4 BFSI

      5. 5.4.5 Other End-user Industries (Manufacturing, Media and Entertainment, Research and Education)

    5. 5.5 By Technology

      1. 5.5.1 Recognition

      2. 5.5.2 Operational

      3. 5.5.3 Analytical

    6. 5.6 By Services

    7. 5.7 Geography

      1. 5.7.1 North America

        1. 5.7.1.1 US

        2. 5.7.1.2 Canada

        3. 5.7.1.3 Rest of North America

      2. 5.7.2 Europe

        1. 5.7.2.1 Germany

        2. 5.7.2.2 UK

        3. 5.7.2.3 France

        4. 5.7.2.4 Rest of Europe

      3. 5.7.3 Asia-Pacific

        1. 5.7.3.1 India

        2. 5.7.3.2 China

        3. 5.7.3.3 Japan

        4. 5.7.3.4 Rest of Asia-Pacific

      4. 5.7.4 Rest of the World

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Company Profiles

      1. 6.1.1 Google Inc.

      2. 6.1.2 Microsoft Corporation

      3. 6.1.3 3M Company

      4. 6.1.4 SAS Institute Inc.

      5. 6.1.5 IBM Corporation

      6. 6.1.6 NetBase Solutions Inc.

      7. 6.1.7 Verint System Inc.

      8. 6.1.8 Genpact Limited

      9. 6.1.9 Adobe Systems Incorporated

      10. 6.1.10 Intel Corporation

      11. 6.1.11 Nvidia Corporation

      12. 6.1.12 Amazon Web Services Inc.

      13. 6.1.13 AppOrchid Inc.

      14. 6.1.14 Inbenta Technologies Inc.

      15. 6.1.15 Veritone Inc.

      16. 6.1.16 SAP SE

      17. 6.1.17 Salesforce.com Inc.

      18. 6.1.18 Rasa Technologies GmbH

      19. 6.1.19 Babylon Healthcare Services Limited

      20. 6.1.20 Klevu Oy

      21. 6.1.21 Micro Focus International PLC (HPE)

    2. *List Not Exhaustive
  7. 7. INVESTMENT ANALYSIS

  8. 8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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