Augmented Intelligence Market with COVID-19 Impact Analysis by Component, Technology, Organization Size, Deployment Mode, Vertical and Region

DUBLIN, November 18, 2022 /PRNewswire/ — The report “Augmented Intelligence Market with COVID-19 Impact Analysis by Component, Technology (Machine Learning, Natural Language Processing, and Computer Vision), Organization Size, Deployment Mode, Vertical and Region – Global Forecast to 2027” ha been added to offer.

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The size of the augmented intelligence market is expected to grow from USD 17.9 billion in 2022 y USD 54.7 billion in 2027, at a compound annual growth rate (CAGR) of 25.1% during the forecast period.

The cloud segment with the highest CAGR during the forecast period

Among the deployment types, the cloud segment is estimated to grow with the highest CAGR during the forecast period. The increasing generation of data brings various challenges for different organizations. These challenges include storage, privacy, and convenience. Most of the augmented intelligence market requires cloud-based solutions as they are affordable and easily scalable.

The SMB segment is expected to maintain a higher CAGR during the forecast period

Among organization sizes, large enterprises are expected to dominate the market, while the SMB segment is expected to experience a higher growth rate during the forecast period.

Adoption of augmented intelligence and services among large enterprises is high as large enterprises use augmented intelligence solutions for specific use cases. They are faced with the difficult task of managing security effectively due to the diverse nature of IT infrastructure which is complex in nature.

Between regions, Asia Pacific maintain the highest CAGR during the forecast period

Asia Pacific is expected to grow at a good pace over the forecast period. Spending on security Asia Pacific it is increasing significantly due to the ever-growing threat landscape.

Traditional methods are no longer adequate for advanced digitization. Therefore, augmented intelligence vendors in this region focus on innovations related to their product line. China, JapanAnd India have shown ample growth opportunities in the Augmented Intelligence market.

Main topics covered:

1. Introduction

2 Research methodology

3 Executive summary

4 premium insights
4.1 Brief Overview of Augmented Intelligence Market
4.2 Market: top three verticals
4.3 Market, by Region
4.4 North America: Market, by Technology and Vertical

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market dynamics
5.2.1 Drivers Increased volume of complex business data Growing adoption of advanced analytics and augmented intelligence tools Adoption and scalability of digital initiatives
5.2.2 Restrictions Apprehension of technologies replacing humans Data security concerns
5.2.3 Opportunities Increased adoption of artificial intelligence, machine learning and natural language processing technologies High adoption of augmented intelligence solutions among SMEs
5.2.4 Challenges Integrating data from data silos Ownership and Confidentiality of Collected Data Lack of skilled workforce
5.2.5 Cumulative growth analysis
5.3 Augmented Intelligence: Evolution
5.4 Analysis of case studies
5.4.1 Banking, financial and insurance services Case study 1: Cognizant’s AI and automation solution helps an insurance company improve the claims process Case study 2: Eiffage becomes proactive in its financial management with Tibco Spotfire software
5.4.2 Information Technology and Telecommunications Case study 1: Orange builds a sustainable data practice with the help of Dataiku
5.4.3 Retail and consumer goods Case study 1: Asos used the Microsoft Azure ML service to reduce time to market for a recommendation model
5.4.4 Energy and utilities Case study 1: Intermediate energy company dives into data insights for better performance
5.4.5 Transportation and Logistics Case Study 1: Sisense Enables Air Canada to Extract Meaningful Information and Has Become an Indispensable Operations Management Tool
5.4.6 Healthcare and life sciences Case study 1: The company focuses on integrating data to get a 360-degree view of customers, without reverting to manual processes Case Study 2: Inspire Used Ml to Connect Millions of Patients and Healthcare Professionals on AWS
5.4.7 Production Case study 1: IBM helped Shenzhen China Star Optoelectronics Technology Co Ltd. (Csot) improve production quality and productivity
5.4.8 Media and Entertainment Case Study 1: One of the World’s Leading Media Conglomerates Adopted Hcl’s Augmented Intelligence Solution to Redefine User Experience Through Human-Centered Design
5.4.9 Government and defense Case Study 1: By moving to Equinix’s Ty3 facility, Oanda was able to improve this tempo by 93%, providing its Japanese clients with real-time access to its foreign exchange market
5.5 Supply/Value Chain Analysis
5.6 Technological Analysis
5.7 Patent analysis
5.8 Augmented intelligence ecosystem
5.9 Analysis of the price model
5.10 Analysis of Porter’s five forces
5.11 Regulatory implications
5.12 Augmented Intelligence Market: COVID-19 Impact
5.13 Conferences and key events in 2022-2023
5.14 Tariff and regulatory framework
5.15 Key stakeholders and purchasing criteria

6 Augmented Intelligence Market, by Component
6.1 Introduction
6.1.1 COVID-19 Market Impact, by Component
6.1.2 Component: Market Drivers
6.2 Software
6.3 Services

7 Augmented Intelligence Market, by Technology
7.1 Introduction
7.1.1 COVID-19 Market Impact, by Technology
7.1.2 Technology: market driver
7.2 Machine learning
7.3 Natural language processing
7.4 Computer Vision
7.5 Other Technologies

8 Augmented Intelligence market, by distribution method
8.1 Introduction
8.1.1 COVID-19 Impact on the market, by distribution method
8.1.2 Distribution methods: market drivers
8.2 On premises
8.3 Cloud

9 Augmented Intelligence Market, by Organization Size
9.1 Introduction
9.1.1 Impact of COVID-19 on the market, by organization size
9.1.2 Size of organizations: market drivers
9.2 Small and Medium Enterprises
9.3 Large Enterprises

10 Augmented Intelligence Market, by Vertical
10.1 Introduction
10.1.1 COVID-19 Market Impact, by Vertical
10.2 Vertical: market driver
10.3 Banking, financial and insurance services
10.4 Telecommunications and IT
10.5 Retail and consumer goods
10.6 Healthcare and life sciences
10.7 Government and Defense
10.8 Media and Entertainment
10.9 Production
10.10 Transport and logistics
10.11 Energy and utilities
10.12 Other Verticals

11 Augmented Intelligence Market, by Region

12 Competitive landscape
12.1 Overview
12.2 Strategies of the main players
12.3 Revenue Analysis
12.4 Market share analysis
12.5 Business Valuation Quadrant
12.5.1 Stars
12.5.2 Emerging leaders
12.5.3 Pervasive Players
12.5.4 Participants
12.6 Startup/SME Evaluation Quadrant
12.6.1 Progressive Societies
12.6.2 Reactive Companies
12.6.3 Dynamic Companies
12.6.4 Starting blocks
12.7 Competitive Benchmarking
12.8 Competitive scenario
12.8.1 Product Launches
12.8.2 Offers

13 company profiles
13.1 Introduction
13.2 Main Players
13.2.1 IBM
13.2.2 Sales force
13.2.3 Google
13.2.4 Microsoft
13.2.5 SAPs
13.2.6 SAS
13.2.7 Cognitive scale
13.2.8 Qliktech International Ab
13.2.9 Tibc
13.2.10 AWS
13.2.11 Neoris
13.2.12 Sisense
13.2.13 Microstrategy
13.2.14 Dataiku
13.3 SMEs and startups
13.3.1 Cosmo technology
13.3.2 Jumius
13.3.3 Layer
13.3.4 Squirt
13.3.5 Data robots
13.3.6 Bondi laboratories
13.3.7 Eazyml
13.3.8 AI Stradigi
13.3.9 Available
13.3.10 Pecans AI
13.3.11 TelliUS
13.3.13 Augmented Intelligence (Aui)
13.3.14 Pryon
13.3.15 Bioxplor
13.3.16 Lens Cause

14 Adjacent and related markets

15 Appendix

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