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Artificial Intelligence and Advanced Machine Learning Market 2020 - 2027: Future Projects and Recent Advancements

10-15-2020 11:22 AM CET | IT, New Media & Software

Press release from: Allied Analytics LLP

Artificial Intelligence and Advanced Machine Learning Market

The increase in complex data sets such as big data in banking industry fuels the growth for the market. In addition, the ability of these technologies to detect payment frauds further propels market growth. However, high initial investment costs and maintenance cost hinders the market. Advancements in data processing speeds and ability of these AI systems to spot nonstandard behavior patterns during auditing financial transactions are expected to make way for market growth.

The artificial intelligence deals with simulation techniques; it involves the machines that are capable of performing similar tasks as humans; such as decision making and speech recognitions. Machine learning is an extended application of artificial intelligence, which allows the software applications to predict the outcomes accurately. Further, it can analyze the big data and extract information from it. In banking industry, these help in fraud detection by tracking unusual transactions.

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The global artificial intelligence & advanced machine learning market is segmented on the basis of solution, end user, and region. On the basis of solution, it is bifurcated into smart wallets and voice-assisted banking. Based on end user, it is divided into insurance, banking, and capital markets. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key Benefits :
-The study provides an in-depth analysis of the global artificial intelligence & advanced machine learning market and current & future trends to elucidate the imminent investment pockets.

-Information about the key drivers, restrains, and opportunities is provided.

-Porters Five Forces analysis illustrates the potency of buyers and suppliers operating in the industry.

-The quantitative analysis of the market from 2020 to 2027 is provided to determine the market potential.

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Table of Content:

CHAPTER 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY

1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models

CHAPTER 2 EXECUTIVE SUMMARY

2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS

3.2.1. Top investment pockets
3.2.2. Top winning strategies

3.3. MARKET SHARE ANALYSIS, 2016
3.4. PORTER’S FIVE FORCES ANALYSIS

3.4.1. MARKET DYNAMICS
3.4.2. Drivers
3.4.3. Restraints
3.4.4. Opportunities

Go on...

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Key players operating in this market are iCarbonX, Jibo. Inc, Next IT Corp., Prisma Labs, Inc., AIBrain, Quadratic Insights Pvt. Ltd., NVIDIA Corporation, Inbenta Technologies Inc., Numenta, and Intel Corporation.

Related Articles:

Artificial Intelligence: https://www.technoinnovationz.com/2020/10/02/artificial-intelligence/

Facial Recognition: https://www.technoinnovationz.com/2020/08/17/facial-recognition/

Machine Learning Chip: https://www.technoinnovationz.com/2020/08/20/machine-learning-chip/

About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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