Artificial Intelligence (AI) Market Research Reports

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Artificial Intelligence (AI) Market Research Reports & Consulting

As the enterprises across industries are growing, there is a paradigm shift in terms of technology used by them. Artificial Intelligence (AI) is one such buzzing term in the computing industry and is all set to revolutionize various industry sectors. AI is defined as the system that combines computer science and neuroscience to compute and analyse data so that it can act in a way similar to the human brain. Cognitive capabilities could be learnt with the help of an expert (supervised) or on its own (unsupervised). It includes various types of hardware, machine learning software, AI platforms, and services involved in cognitive computing of data in the form of image, video, speech, text, computer logs, big data, and sensor data. An increasing demand for the AI technology is fuelled by affective computing, cognitive computing, virtual reality, perceptual interface, affective agents, augmented reality, facial recognition, emotion detection and recognition, and chat bots service. Due to its vast application areas, the AI technology has occupied the main stream discussion among industry experts and researchers. As a result, several enterprises have increased their R&D investments in studying AI application areas.

The major challenge for any business today is the gap between data collection, insights, and action; and the AI technology helps businesses to bridge this gap in real time. Data generated across the organization by natural human language, machines, and business processes is increasing rapidly. At the same time, the volume of structured and unstructured data is also growing at an exponential rate. Machine Learning (ML) and Natural Language Processing (NLP) are the integral parts of the AI technology to help businesses to gain valuable insights hidden in unstructured data, analyze the information, and then find the relevant answers to make more confident and effective business decisions that impact their performance and revenue. With the advancement in AI technology hardware manufacturers are able to replace lager hardware devices with smaller, efficient, and powerful neuromorphic chips-based systems. These hardware solutions includes MPUs, GPUs and FPGAs that are being widely used to implement the machine learning algorithms. Moreover, AI applications such as computer vision and predictive analytics requires a large volume of data to train, test, and validate, which may present the storage challenges. Hardware vendors are coming up with low latency and high performance memory solutions for theses AI applications.

The innovative technologies including IoT, advanced analytics, and big data are giving a new leash to the AI technology, and are widely used with many applications, such as image recognition, speech recognition, face recognition, and risk and fraud detection. In addition, the proliferation of large and multidimensional data sets, an increasing focus on solving real-time problems by analysing data, and an increasing need for transforming the business processes from reactive to proactive are some of the major factors driving the adoption of the AI technology across the globe. Owning to its vast applications from robotics to forecast and decision-making, the demand for AI-powered solutions is expected to increase in various industry verticals including BFSI; manufacturing; retail; government and defense; energy and utilities; healthcare and life sciences; telecommunication. In the BFSI vertical, application areas for the AI technology include fraud and risk management, customer segmentation, sales and marketing campaign management, investment prediction, and digital assistance. In the healthcare and life sciences vertical, the AI technology finds its application in disease identification and diagnosis, image analytics, personalized treatment, and drug discovery/manufacturing. Major AI application areas in the manufacturing vertical include predictive maintenance, revenue estimation, demand forecasting, and supply chain management.

The major use cases for AI technology prevailing in the telecommunication industry includes customer analytics, network optimization, and network security. In customer analytics, the telecom vendors can understand customer behavior pattern, analyse Call Detail Records (CDRs), and customer churn prediction from the customer data generated every second, which includes plan details, demographic details, services consumed, and spending pattern. AI powered solutions help the telecom vendors to use advanced analytics on customer data to generate a real-time view of customer preferences. Moreover, AI powered solutions enable telecom operators to acquire a deeper understanding of users and improving their experience at every touchpoint through high performance services, fast feedback, customized offerings, and thus make near real-time and fact-based decisions.

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Market Reports

Chatbot Market by Component, Type (Rule Based & AI Based), Application (Customer Service, Customer Engagement & Retention), Channel Integration, Business Function (ITSM, Finance), Vertical, and Region (2022 - 2026)

The Chatbot Market is expected to grow from USD 2.9 billion in 2020 to USD 10.5 billion by 2026, at a CAGR of 23.5% during the forecast period. Major vendors in the chatbot market include IBM (US), Microsoft (US), Google (US), AWS (US), Nuance (US), Oracle (US), Creative Virtual (UK), Artificial Solutions (Spain), Kore.ai (US), Inbenta (US), [24]7.AI (US), Aivo (Argentina) ServiceNow (US), Conversica (US), Personetics (US), LiveChat (Poland), MindMeld (US), CogniCor (US), Gupshup (US), Contus (India), Chatfuel (US), KeyReply (Singapore), SmartBots (US), Yellow Messenger (India), Kevit (India), Yekaliva (India), and Pypestream (US). These chatbot vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global chatbot market.
- Published: March 2021
- Price: $ 4950
- TOC Available:
Natural Language Processing Market by Component, Type (Statistical, Hybrid), Application (Automatic Summarization, Sentiment Analysis, Risk & Threat Detection), Deployment Mode, Organization Size, Vertical, and Region (2022 - 2026)

The Natural Language Processing Market is expected to grow from USD 11.6 billion in 2020 to USD 35.1 billion by 2026, at a CAGR of 20.3% during the forecast period. Major vendors in the NLP include IBM (US), Microsoft (US), Google (US), AWS (US), Facebook (US), Apple (US), 3M (US), Intel (US), SAS Institute (US), Baidu (China), Inbenta (US), Veritone (US), Dolbey (US), Narrative Science (US), Bitext (Spain), Health Fidelity (US), Linguamatics (UK), Conversica (US), SparkCognition (US), Automated Insights (US), Gnani.ai (India), Niki (India), Mihup (India), Observe.AI (US), Hyro (US), Just AI (England), RaGaVeRa (India). These NLP vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global NLP market.
- Published: February 2021
- Price: $ 4950
- TOC Available:
Cognitive Computing Market by Component, Deployment Mode, Business Function, Application (IVA and Chatbot and Behavioral Analysis), Technology (Human Computer Interface and Deep Learning), Industry Vertical, and Region - Global Forecast to 2025

The Cognitive Computing Market is expected to grow from USD 20.5 billion in 2020 to USD 77.5 billion by 2025, at a CAGR of 30.5% during the forecast period. The report includes the study of the key players offering cognitive computing solutions and services. The major vendors Microsoft (US), Google (US), IBM (US), Numenta (US), SAS Institute (US), AWS (US), Enterra Solutions (US), CognitiveScale (US), SparkCognition (US), TCS (India), Expert System (US), Cisco (US), Virtusa (US), Cognitive Software Group (Australia), Red Skios (Spain), Artificial Solutions (Sweden), Acuiti (Australia), Vantage Labs (US), E-Zest (India) and Burstiq (US). It also includes an in-depth competitive analysis of the key players in the cognitive computing market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.
- Published: March 2020
- Price: $ 4950
- TOC Available:
Bot Services Market by Service (Framework and Platform), Deployment Channel (Websites, Contact Center and Customer Service, and Social Media), Mode (Text and Rich Media, Audio, and Video), End-User Vertical, and Region - Global Forecast to 2022

The global bot services market size is expected to grow from USD 458.4 Million in 2017 to USD 1,783.9 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 31.2%. Increasing user engagement on social media platforms and highly advanced Artificial Intelligence (AI) and Natural Language Processing (NLP) tools are boosting the growth of the bot services market across the globe. Some of the major vendors in the bot services market are Microsoft (US), IBM (US), Facebook (US), Google (US), Amazon Web Services (US), Nuance Communications (US), Aspect Software (US), Inbenta Technologies (US), Creative Virtual (UK), IPsoft (US), 24/7 Customer (US), CogniCor Technologies (Spain), Astute Solutions (US), Gupshup (US), Next IT Corp. (US), Kore.ai (US), Rasa Technologies GmbH (Germany), Pypestream (US), Avaamo (US), Pandorabots (US), LogMeIn (US), Artificial Solutions (Spain), Botego (Turkey), Chatfuel (US), Webio (Ireland), and Do You Dream Up (France).
- Published: September 2017
- Price: $ 4950
- TOC Available:
AI in Fintech Market by Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Global forecast to 2022

The AI in Fintech market size is expected to grow from USD 959.3 Million in 2016 to USD 7,305.6 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4%. The AI in Fintech market report encompasses the competitive landscape, which presents the positioning of the 25 key AI in Fintech vendors, based on their product offerings and business strategies. Some of the major vendors are Microsoft (Washington, US), Google (California, US), Salesforce.com (California, US), IBM (New York, US), Intel (California, US), Amazon Web Services (Washington, US), Inbenta Technologies (California, US), IPsoft (New York, US), Nuance Communications (Massachusetts, US), and ComplyAdvantage.com (New York, US).
- Published: September 2017
- Price: $ 4950
- TOC Available:
Machine Learning Market by Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities), Deployment Mode, Service, Organization Size, and Region - Global Forecast to 2022

The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. Some of the major vendors are Microsoft Corporation (Washington, US), IBM Corporation (New York, US), SAP SE (Walldorf, Germany), SAS Institute Inc. (North Carolina, US), Google, Inc. (California, US), Amazon Web Services Inc. (Washington, US), Baidu, Inc. (Beijing, China), BigML, Inc. (Oregon, US), Fair Isaac Corporation (FICO) (California, US), Hewlett Packard Enterprise Development LP (HPE) (California, US), Intel Corporation (California, US), KNIME.com AG (Zurich, Switzerland), RapidMiner, Inc. (Massachusetts, US), Angoss Software Corporation (Toronto, Canada), H2O.ai (California, US), Alpine Data (California, US), Domino Data Lab, Inc. (California, US), Dataiku (Paris, France), Luminoso Technologies, Inc. (Massachusetts, US), TrademarkVision (Pennsylvania, US), Fractal Analytics Inc. (New Jersey, US), TIBCO Software Inc. (California, US), Teradata (Ohio, US), Dell Inc. (Texas, US), and Oracle Corporation (California, US).
- Published: September 2017
- Price: $ 4950
- TOC Available:
Vendor Comparison in Cognitive Computing – 2017 : MnM DIVE Matrix

The major challenge for any business today is to bridge the gaps between data collection, insights, and actions. Cognitive computing solutions help businesses to bridge these gaps. The data generated throughout organizations by machines and business processes, and the volume of structured and unstructured data are increasing at exponential rates. Cognitive systems generate valuable insights from unstructured content, analyze the information, and present relevant answers to users to help them make accurate and effective business decisions that impact performance and revenue.
- Published: May 2017
- Price: $ 4950
- TOC Available:
Vendor Comparison in Customer Self-Service Software – 2017: MnM DIVE Matrix

The report on “Vendor Comparison in Customer Self-Service Software” based on the MnM DIVE methodology, covers the comprehensive study of the key vendors offering solutions for customer self-service software. The report will help stakeholders to analyze detailed information regarding their competitors on the basis of their product offering and business strategy. The report analyses major players that offer customer self-service solutions and outlines the findings and analysis on how well each customer self-service software vendor performs within our criteria.
- Published: March 2017
- Price: $ 4950
- TOC Available:
Cognitive Assessment and Training in Healthcare Market by Assessment Type (Pen-and-Paper Based, Hosted, and Biometrics), Components, Application (Clinical Trial, Screening & Diagnostics, Brain Training, Academic Research), & Region - Global forecast to 2021

Cognitive impairment can occur in early childhood or late adulthood. There are various reasons for it, which can be reversible or irreversible. Early causes may include malnutrition, prenatal drug exposure, genetic syndromes, and chromosome abnormalities. The brain retains its neuroplasticity till late adulthood; therefore, there has been a growing demand for cognitive assessment and training. MarketsandMarkets predicts the global cognitive assessment and training in healthcare market to grow from USD 962.0 Million in 2016 to USD 4,127.2 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 33.8%. The year 2015 has been considered as the base year, while the forecast period is 2016–2021.
- Published: February 2017
- Price: $ 4950
- TOC Available:
Customer Self-Service Software Market by Solution (Web Self-Service, Mobile Self-Service, Intelligent Virtual Assistants, and Social Media and Community Self-Service), Service, Deployment Type, Vertical, and Region - Global Forecast to 2021

MarketsandMarkets forecasts the customer self-service (CSS) software market size to grow from USD 4.33 Billion in 2016 to USD 9.38 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 16.7%. Enhancing the customer service through self-service tools empowers companies to increase customer satisfaction and loyalty, and increasing availability of various customer service touch points are the major driving factors for the growth of this market.
- Published: February 2017
- Price: $ 4950
- TOC Available:
Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021

MarketsandMarkets forecasts the neural network software market size to grow from USD 7.17 Billion in 2016 to USD 22.55 Billion by 2021, at an estimated Compound Annual Growth Rate (CAGR) of 33.2%. Major factors contributing to the growth of the neural network software market are increasing amount of spatial data and rising demand for predictive solutions.
- Published: January 2017
- Price: $ 4950
- TOC Available:

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Artificial Intelligence (AI) Market Research Reports