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Augmented Intelligence Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: August, 2022
No of Pages: 172
Delivery Format: PDF + Excel

$2,950.00

Report Description

Augmented Intelligence Market was valued at $11.73 million in 2020. It is expected to grow at a 26.4% CAGR from 2021 to 2030. Augmented intelligence, an artificial intelligence, focuses on AI’s assistive role. Augmented intelligence can also help organizations make better data-driven business decisions in everyday life. It improves employee performance and helps organizations understand their employees’ weaknesses. Augmented intelligence can use and prioritize a large amount of security data. The organizations also get predictive analytics.

The Global augmented intelligence market is growing due to the increased use of advanced technologies like big data, blockchain, artificial intelligence, and the internet of things by businesses. Also, digital technology has been used more effectively to meet customers’ expectations, increasing the use of these advanced technologies. The increased demand for business intelligence tools also positively affects the market’s growth. The market growth will be impeded by implementing problems with augmented intelligence software and a limited number of augmented Intelligence experts. However, the market will expand due to the anticipated increase in the adoption of augmented intelligence solutions by prominent players and the growing volume and variety of data that can be automated.

On-premises was the most popular segment in the augmented Intelligence market. It is expected to continue its dominance over the following years. This is because on-premises software is widely used in large enterprises and can be installed on the company’s IT infrastructure. Additionally, it offers more security than cloud-based software. The cloud segment will see the most significant growth due to a paradigm shift from cloud-based deployments to on-premises models. This is what drives cloud-based augmented Intelligence adoption among SMEs as well as large organizations. Several market leaders in augmented intelligence have developed strategies to assist enterprises with moving their existing augmented intelligence to cloud-based versions. This further boosts the segment’s growth.

The market for augmented intelligence will be dominant in North America in 2020. It is expected to maintain its dominance during the forecast period. It is due to several factors, including the penetration of new industries and an improvement in the economy. The market will also benefit from the growing presence of cloud augmented Intelligence solution vendors in the U.S.A. and Canada. The market is expected to see significant growth in Asia-Pacific during the forecast period. This is due to the significant presence of small- and medium-sized enterprises that are turning to hosted augmented intelligence solutions to manage their business processes efficiently, especially in developing countries like China, India, Singapore, and India.

The report examines the trends, growth prospects, and restraints of the global market for augmented intelligence. Porter’s five forces analysis is used to analyze the impact of different factors on global augmented intelligence market share, including bargaining power, competitive intensity, the threat from new entrants, substitute threat, bargaining power and bargaining power.

Segment review

Segmentation of the global market for augmented intelligence is based on component, technology, company size, industry vertical, Region, and other factors. The market can be divided into software and services by component. It is classified as machine learning and natural language processing. It is divided into small and medium enterprises and large enterprises based on size. It is divided into IT & Telecom, Retail & E-Commerce, manufacturing, and other industries depending on its vertical. It is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB, Salesforce.com, Inc., Samsung, SAP SE, Sisense Inc., and TIBCO Software Inc. are the key players in the augmented Intelligence industry. These companies have used various strategies to expand their market penetration and strengthen themselves in the augmented Intelligence industry.

The Impact of COVID-19 on Augmented Intelligence Market –

All industries have been affected by the COVID-19 pandemic. Due to many governments, the public, or other organizations adopting a work-from-home culture for employees, the augmented intelligence market will prosper in the COVID-19 environment. Many IT and telecom companies are also adopting augmented intelligence solutions to reduce the losses resulting from the pandemic. This will help them increase their market share. In this pandemic, augmented intelligence can provide many benefits for various industries. It improves corporate governance and increases efficiency. COVID-19 also created the need for remote working. Many companies worldwide have adopted a work-from-home culture which has positively impacted their market growth. Augmented intelligence will grow due to the rapid adoption of internet services.

The use of advanced technologies like blockchain, artificial intelligence, and the Internet of Things has increased in businesses.

Many businesses worldwide have begun using advanced technologies like big data, blockchain artificial intelligence, and the Internet of Things to solve complex business problems and increase revenue. Artificial intelligence technology has many business applications, including cross-referencing and transferring data, forecasting consumer behavior, personalized advertising, and marketing products. Big data analytics with augmented intelligence can also help companies to develop a robust and determined approach to managing human resources. It supports various applications, from appointment decisions to training and developing employees. The internet of things technology is used in many connected devices across industries like aviation, manufacturing, healthcare, logistics, etc. It allows them to gather and organize data from various data streams and efficiently organize it. It also gives companies a better understanding their business operations and customers’ services and products. These factors encourage businesses to adopt advanced technology, which drives global market growth.

Digital technology is increasingly used to meet customers’ expectations.

The use of digital technologies can accelerate business growth because it allows companies to reach large audiences and builds long-lasting relationships with clients. This helps to increase brand loyalty. Technology can also help businesses achieve many goals, such as providing excellent customer service, reducing operational expenses, and increasing revenues. This will increase the market’s growth. The market has a lot of potential for growth due to the increased use of digital Technology by businesses that work with suppliers and specialized sub-contractors.

Many companies are using digital marketing to expand their business in new locations using innovative marketing strategies. This increases the market’s growth. Through digital marketing, customers get more accurate and helpful information about the product. To boost augmented global intelligence, businesses must increase digital Technology to meet customer expectations.

Asia-Pacific would experience the highest CAGR at 29.2% between 2021-2030.

Key Benefits for Stakeholders

  • This study will provide an in-depth analysis of the global market for augmented intelligence, as well as current trends and future estimates to help explain the forthcoming investment pockets.
  • The report contains information about key drivers, limitations, opportunities, and their impact on the global market.
  • Porter’s Five Forces analysis illustrates the industry’s buyers and suppliers.
  • A quantitative analysis of 2021-2030 is performed to determine the market’s potential.
Augmented Intelligence Market Report Scope and Segmentation
ATTRIBUTESDETAILS
ESTIMATED YEAR2022
BASE YEAR2021
FORECAST YEAR2030
HISTORICAL YEAR2017-2021
UNITValue (USD Million/Billion)
BY REGIONNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa

Key Market Segments

By Component

  • Solution
  • Hardware
  • Software Platform
  • On-Premises
  • Cloud
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Other

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • IT & Telecom
  • Retail & E-Commerce
  • BFSI
  • Healthcare
  • Manufacturing
  • Automotive
  • Other

Regional Analysis

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • Italy
    • France
    • UK
    • Spain
    • Poland
    • Russia
    • The Netherlands
    • Norway
    • Czech Republic
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Malaysia
    • Thailand
    • Singapore
    • Australia & New Zealand
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Rest of South America
  • The Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Northern Africa
    • Rest of MEA

Key Market Participants

  • Amazon Web Services, Inc.
  • International Business Machines Corporation
  • Micron Technology, Inc.
  • Microsoft Corporation
  • QlikTech International AB
  • Salesforce.com, Inc.
  • Samsung
  • SAP SE
  • Sisense Inc.
  • TIBCO Software Inc.

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key benefits for stakeholders
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.Key findings

2.1.1.Top impacting factors
2.1.2.Top investment pockets

2.2.CXO perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key forces shaping the global Augmented intelligence market
3.3.Case Studies

3.3.1.Case Study 01
3.3.2.Case Study 02

3.4.Market dynamics

3.4.1.Drivers

3.4.1.1.Increase in use of advance technologies such as big data, block chain, artificial intelligence and internet of thing among the businesses
3.4.1.2.Rise in use of digital technology to fulfill the customers expectation
3.4.1.3.Surge in  demand of business intelligence tools

3.4.2.Restraints

3.4.2.1.Implementing issues of augmented intelligence software
3.4.2.2.limited number of augmented intelligence  experts

3.4.3.Opportunity

3.4.3.1.Increase in advancement by large players to adopt augmented intelligence solutions
3.4.3.1.Growing volume and variety of data within an automated process

3.1.COVID-19 impact analysis on augmented intelligence market

3.1.1.Impact on market size
3.1.2.Consumer trends, preferences, and budget impact
3.1.3.Economic impact
3.1.4.Strategies to tackle negative impact
3.1.5.Opportunity window

CHAPTER 4:AUGMENTED INTELLIGENCE MARKET, BY COMPONENT

4.1.Overview
4.2.Solution

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country
4.2.4.Augmented intelligence market, by solution

4.2.4.1.Hardware

4.2.4.2.Market size and forecast, by region
4.2.4.3.Market analysis, by country
4.2.4.4.Software & platform
4.2.4.5.Market size and forecast, by region

4.2.5.Market analysis, by country

4.2.5.1.Augmented intelligence market, by software & platform

4.2.5.1.1.On-Premise
4.2.5.1.2.Market size and forecast, by region
4.2.5.1.3.Market analysis, by country
4.2.5.1.4.Cloud
4.2.5.1.5.Market size and forecast, by region
4.2.5.1.6.Market analysis, by country

4.3.Service

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

CHAPTER 5:AUGMENTED INTELLIGENCE MARKET, BY TECHNOLOGY

5.1.Overview
5.2.Machine Learning

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.Natural Language Processing

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

5.4.Computer vision

5.4.1.Key market trends, growth factors, and opportunities
5.4.2.Market size and forecast, by region
5.4.3.Market analysis, by country

5.5.Others

5.5.1.Key market trends, growth factors, and opportunities
5.5.2.Market size and forecast, by region
5.5.3.Market analysis, by country

CHAPTER 6:AUGMENTED INTELLIGENCE MARKET, BY ENTERPRISE SIZE

6.1.Overview
6.2.Large Enterprises

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.SMEs

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

CHAPTER 7:AUGMENTED INTELLIGENCE MARKET, BY INDUSTRY VERTICAL

7.1.Overview
7.2.IT & Telecom

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.Retail & E-Commerce

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

7.4.BFSI

7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country

7.5.Healthcare

7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country

7.6.Manufacturing

7.6.1.Key market trends, growth factors, and opportunities
7.6.2.Market size and forecast, by region
7.6.3.Market analysis, by country

7.7.Automotive

7.7.1.Key market trends, growth factors, and opportunities
7.7.2.Market size and forecast, by region
7.7.3.Market analysis, by country

7.8.Others

7.8.1.Key market trends, growth factors, and opportunities
7.8.2.Market size and forecast, by region
7.8.3.Market analysis, by country

CHAPTER 8:AUGMENTED INTELLIGENCE MARKET, BY REGION

8.1.Overview

8.1.1.Market size and forecast, by region

8.2.North America

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by component
8.2.3.Market size and forecast, by solution
8.2.4.Market size and forecast, by software type
8.2.5.Market size and forecast, by technology
8.2.6.Market size and forecast, by enterprise size
8.2.7.Market size and forecast, by industry vertical
8.2.8.Market analysis, by country

8.2.8.1.U.S.

8.2.8.1.1.Market size and forecast, by component
8.2.8.1.2.Market size and forecast, by solution
8.2.8.1.3.Market size and forecast, by software type
8.2.8.1.4.Market size and forecast, by technology
8.2.8.1.5.Market size and forecast, by enterprise size
8.2.8.1.6.Market size and forecast, by industry vertical

8.2.8.2.CANADA

8.2.8.2.1.Market size and forecast, by component
8.2.8.2.2.Market size and forecast, by solution
8.2.8.2.3.Market size and forecast, by software type
8.2.8.2.4.Market size and forecast, by technology
8.2.8.2.5.Market size and forecast, by enterprise size
8.2.8.2.6.Market size and forecast, by industry vertical

8.3.Europe

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by component
8.3.3.Market size and forecast, by solution
8.3.4.Market size and forecast, by software type
8.3.5.Market size and forecast, by technology
8.3.6.Market size and forecast, by enterprise size
8.3.7.Market size and forecast, by industry vertical
8.3.8.Market analysis, by country

8.3.8.1.UK

8.3.8.1.1.Market size and forecast, by component
8.3.8.1.2.Market size and forecast, by solution
8.3.8.1.3.Market size and forecast, by software type
8.3.8.1.4.Market size and forecast, by technology
8.3.8.1.5.Market size and forecast, by enterprise size
8.3.8.1.6.Market size and forecast, by industry vertical

8.3.8.2.GERMANY

8.3.8.2.1.Market size and forecast, by component
8.3.8.2.2.Market size and forecast, by solution
8.3.8.2.3.Market size and forecast, by software type
8.3.8.2.4.Market size and forecast, by technology
8.3.8.2.5.Market size and forecast, by enterprise size
8.3.8.2.6.Market size and forecast, by industry vertical

8.3.8.3.FRANCE

8.3.8.3.1.Market size and forecast, by component
8.3.8.3.2.Market size and forecast, by solution
8.3.8.3.3.Market size and forecast, by software type
8.3.8.3.4.Market size and forecast, by technology
8.3.8.3.5.Market size and forecast, by enterprise size
8.3.8.3.6.Market size and forecast, by industry vertical

8.3.8.4.ITALY

8.3.8.4.1.Market size and forecast, by component
8.3.8.4.2.Market size and forecast, by solution
8.3.8.4.3.Market size and forecast, by software type
8.3.8.4.4.Market size and forecast, by technology
8.3.8.4.5.Market size and forecast, by enterprise size
8.3.8.4.6.Market size and forecast, by industry vertical

8.3.8.5.SPAIN

8.3.8.5.1.Market size and forecast, by component
8.3.8.5.2.Market size and forecast, by solution
8.3.8.5.3.Market size and forecast, by software type
8.3.8.5.4.Market size and forecast, by technology
8.3.8.5.5.Market size and forecast, by enterprise size
8.3.8.5.6.Market size and forecast, by industry vertical

8.3.8.6.NETHERLAND

8.3.8.6.1.Market size and forecast, by component
8.3.8.6.2.Market size and forecast, by solution
8.3.8.6.3.Market size and forecast, by software type
8.3.8.6.4.Market size and forecast, by technology
8.3.8.6.5.Market size and forecast, by enterprise size
8.3.8.6.6.Market size and forecast, by industry vertical

8.3.8.7.REST OF EUROPE

8.3.8.7.1.Market size and forecast, by component
8.3.8.7.2.Market size and forecast, by solution
8.3.8.7.3.Market size and forecast, by software type
8.3.8.7.4.Market size and forecast, by technology
8.3.8.7.5.Market size and forecast, by enterprise size
8.3.8.7.6.Market size and forecast, by industry vertical

8.4.Asia-Pacific

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by component
8.4.3.Market size and forecast, by solution
8.4.4.Market size and forecast, by software type
8.4.5.Market size and forecast, by technology
8.4.6.Market size and forecast, by enterprise size
8.4.7.Market size and forecast, by industry vertical
8.4.8.Market analysis, by country

8.4.8.1.CHINA

8.4.8.1.1.Market size and forecast, by component
8.4.8.1.2.Market size and forecast, by solution
8.4.8.1.3.Market size and forecast, by software type
8.4.8.1.4.Market size and forecast, by technology
8.4.8.1.5.Market size and forecast, by enterprise size
8.4.8.1.6.Market size and forecast, by industry vertical

8.4.8.2.JAPAN

8.4.8.2.1.Market size and forecast, by component
8.4.8.2.2.Market size and forecast, by solution
8.4.8.2.3.Market size and forecast, by software type
8.4.8.2.4.Market size and forecast, by technology
8.4.8.2.5.Market size and forecast, by enterprise size
8.4.8.2.6.Market size and forecast, by industry vertical

8.4.8.3.INDIA

8.4.8.3.1.Market size and forecast, by component
8.4.8.3.2.Market size and forecast, by solution
8.4.8.3.3.Market size and forecast, by software type
8.4.8.3.4.Market size and forecast, by technology
8.4.8.3.5.Market size and forecast, by enterprise size
8.4.8.3.6.Market size and forecast, by industry vertical

8.4.8.4.AUSTRALIA

8.4.8.4.1.Market size and forecast, by component
8.4.8.4.2.Market size and forecast, by solution
8.4.8.4.3.Market size and forecast, by software type
8.4.8.4.4.Market size and forecast, by technology
8.4.8.4.5.Market size and forecast, by enterprise size
8.4.8.4.6.Market size and forecast, by industry vertical

8.4.8.5.SOUTH KOREA

8.4.8.5.1.Market size and forecast, by component
8.4.8.5.2.Market size and forecast, by solution
8.4.8.5.3.Market size and forecast, by software type
8.4.8.5.4.Market size and forecast, by technology
8.4.8.5.5.Market size and forecast, by enterprise size
8.4.8.5.6.Market size and forecast, by industry vertical

8.4.8.6.REST OF ASIA-PACIFIC

8.4.8.6.1.Market size and forecast, by component
8.4.8.6.2.Market size and forecast, by solution
8.4.8.6.3.Market size and forecast, by software type
8.4.8.6.4.Market size and forecast, by technology
8.4.8.6.5.Market size and forecast, by enterprise size
8.4.8.6.6.Market size and forecast, by industry vertical

8.5.LAMEA

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by component
8.5.3.Market size and forecast, by solution
8.5.4.Market size and forecast, by software type
8.5.5.Market size and forecast, by technology
8.5.6.Market size and forecast, by enterprise size
8.5.7.Market size and forecast, by industry vertical
8.5.8.Market analysis, by country

8.5.8.1.LATIN AMERICA

8.5.8.1.1.Market size and forecast, by component
8.5.8.1.2.Market size and forecast, by solution
8.5.8.1.3.Market size and forecast, by software type
8.5.8.1.4.Market size and forecast, by technology
8.5.8.1.5.Market size and forecast, by enterprise size
8.5.8.1.6.Market size and forecast, by industry vertical

8.5.8.2.MIDDLE EAST

8.5.8.2.1.Market size and forecast, by component
8.5.8.2.2.Market size and forecast, by solution
8.5.8.2.3.Market size and forecast, by software type
8.5.8.2.4.Market size and forecast, by technology
8.5.8.2.5.Market size and forecast, by enterprise size
8.5.8.2.6.Market size and forecast, by industry vertical

8.5.8.3.AFRICA

8.5.8.3.1.Market size and forecast, by component
8.5.8.3.2.Market size and forecast, by solution
8.5.8.3.3.Market size and forecast, by software type
8.5.8.3.4.Market size and forecast, by technology
8.5.8.3.5.Market size and forecast, by enterprise size
8.5.8.3.6.Market size and forecast, by industry vertical

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.Key players positioning analysis, 2020
9.2.Competitive dashboard
9.3.Top winning strategies

CHAPTER 10:COMPANY PROFILE

10.1.AMAZON WEB SERVICES, INC.

10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Operating business segments
10.1.5.Product portfolio
10.1.6.Business performance
10.1.7.Key strategic moves and developments

10.2.INTERNATIONAL BUSINESS MACHINES CORPORATION

10.2.1.Company overview
10.2.2.Key executive
10.2.3.Company snapshot
10.2.4.Operating business segments
10.2.5.Product portfolio
10.2.6.R&D expenditure
10.2.7.Business performance

10.3.Micron Technology, Inc.

10.3.1.Company overview
10.3.2.Key Executives
10.3.3.Company snapshot
10.3.4.Operating business segments
10.3.5.Product portfolio
10.3.6.R&D expenditure
10.3.7.Business performance
10.3.8.Key strategic moves and developments

10.4.MICROSOFT CORPORATION

10.4.1.Company overview
10.4.2.Key executives
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.R&D expenditure
10.4.7.Business performance
10.4.8.Key strategic moves and developments

10.5.QLIKTECH INTERNATIONAL AB

10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Product portfolio
10.5.5.Key strategic moves and developments

10.6.SALESFORCE.COM, INC.

10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Product portfolio
10.6.5.R&D expenditure
10.6.6.Business performance
10.6.7.Key strategic moves and developments

10.7.SAMSUNG

10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Product portfolio
10.7.5.Business performance

10.8.SAP SE

10.8.1.Company overview
10.8.2.Key executive
10.8.3.Company snapshot
10.8.4.Operating business segments
10.8.5.Product portfolio
10.8.6.R&D expenditure
10.8.7.Business performance
10.8.8.Key strategic moves and developments

10.9.SISENSE INC.

10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Key strategic moves and developments

10.10.TIBCO SOFTWARE INC.

10.10.1.Company overview
10.10.2.Key executive
10.10.3.Company snapshot
10.10.4.Product portfolio

By Component

  • Solution
  • Hardware
  • Software Platform
  • On-Premises
  • Cloud
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Other

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • IT & Telecom
  • Retail & E-Commerce
  • BFSI
  • Healthcare
  • Manufacturing
  • Automotive
  • Other

 

  • Amazon Web Services, Inc.
  • International Business Machines Corporation
  • Micron Technology, Inc.
  • Microsoft Corporation
  • QlikTech International AB
  • Salesforce.com, Inc.
  • Samsung
  • SAP SE
  • Sisense Inc.
  • TIBCO Software Inc.

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