Augmented Intelligence Market

Augmented Intelligence Market by Component, Technology (Machine Learning, Natural Language Processing, and Computer Vision), Organization Size, Deployment Mode, Vertical and Region - Global Forecast to 2027

Report Code: TC 8071 Apr, 2022, by marketsandmarkets.com

[281 Pages Report] The Augmented intelligence market size is projected to grow from USD 17.9 billion in 2022 to USD 54.7 billion in 2027, at a Compound Annual Growth Rate (CAGR) of 25.1% during the forecast period. The Augmented intelligence industry is driven by increasing volume of complex business data, however, rising in adoption of advanced augmented intelligence and analytics tools, and adoption and scaling of digital initiatives.

Augmented Intelligence Market

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Market Dynamics

Driver: Increasing volume of complex business data

To analyze the data, there is a growing need for augmented intelligence technologies, such as ML and Natural Language Processing (NLP). Augmented intelligence makes it possible to analyze structured, semi-structured, and unstructured data sets available within organizations. The variety and volume of data produced are expected to considerably increase in the years to come, due to the evolution of digital technologies across business functions. This increasing volume of complex data is expected to drive the growth of the augmented intelligence market.

Restraint: Data Security Concerns

The backbone of augmented intelligence solutions, data, remains an important aspect that most organizations find difficult to manage. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. In today’s competitive marketplace, marketing teams require real-time and secure data to deliver an outstanding customer experience. Organizations are gathering data through multiple touchpoints and measure them virtually. Such data is used in support and communication and may include a variety of data types. These data types comprise public information, big data, and small data collected from customers. As IoT becomes more widespread, organizations will increasingly require more robust security and privacy to prevent breaches. The issue of security endangers the success of digitalization. With the growing number of IoT-enabled systems, the number of security and privacy issues will also increase, and every endpoint, gateway, sensor, and smartphone will become a potential target for hackers.

Opportunity: Increase in adoption of artificial intelligence, machine learning, and natural language processing technologies

The generation of a massive amount of data and the need to analyze it in real-time have compelled organizations to adopt new technologies, such as AI, ML, and NLP. These technologies have eased the whole process of gathering insights from data. Usually, data analysis was done through graphs and charts. To an untrained eye, the data analysis was not user-friendly, and there was a risk of misinterpretation and poor decision-making..

Challenge: Integration of Data from Data Silos

Extracting value from data has become a key requirement for companies to successfully mitigate risks, target valuable customers, and evaluate business performance. Monetizing these data assets require the availability of a sufficient amount of data. However, data consolidation from distinct data sources into meaningful information can incite various new challenges for organizations, especially centralized business enterprises. Data exchange and data ecosystem deliver tools to analyze the collected data at a centralized location and help extract and cross-check business-critical components. The development of data exchanges and data ecosystems varies based on the assumptions made in the value of the data for each customer segment. Various augmented intelligence providers offer unified data aggregation and data analytics platforms that help users in successfully aggregating and analyzing data from disparate data sources. Data exchange is a major concern for industries, such as BFSI and healthcare, which deal with individual’s confidential data. As the need for data exchange increases, it needs to be balanced with risk mitigation capabilities. With companies adopting the augmented intelligence software integrated with data security capabilities, data exchange is not expected to be a major issue in the near future.

North America to account for largest market size during the forecast period

North America is expected to have the largest market share in the augmented intelligence market. Key factors favoring the growth of the augmented intelligence market in North America include the increasing technological advancements in the region. The growing number of augmented intelligence players across regions is expected to further drive market growth.

Augmented Intelligence Market by Region

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Key Market Players

The augmented intelligence vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global augmented intelligence market include AWS (US), Microsoft (US), Salesforce (US), SAP (Germany), IBM (US), SAS (US), CognitiveScale (US), QlikTech International AB (US), TIBCO (US), Google (US), MicroStrategy (US), Sisense (US), NEORIS (US), Dataiku (US), Cosmo Tech (France), Jumio (US), Lucidworks (US), Squirro AG (US), DataRobot (US), Tellius (US), EazyML (US), Stradigi AI (US), Aible (US), Pecan.ai (Israel), CausaLens (US), BioXplor (US), Pryon (US), Augmented Intelligence (US), Bondi Labs (Australia), and binah.ai (US).

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Scope of the Report

Report Metrics

Details

Market size available for years

2016–2027

Base year considered

2022

Forecast period

2022–2027

Forecast units

Value (USD Billion)

Segments covered

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

Regions covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

AWS (US), Microsoft (US), Salesforce (US), SAP (Germany), IBM (US), SAS (US), CognitiveScale (US), QlikTech International AB (US), TIBCO (US), Google (US), MicroStrategy (US), Sisense (US), NEORIS (US), Dataiku (US), Cosmo Tech (France), Jumio (US), Lucidworks (US), Squirro AG (US), DataRobot (US), Tellius (US), EazyML (US), Stradigi AI (US), Aible (US), Pecan.ai (Israel), CausaLens (US), BioXplor (US), Pryon (US), Augmented Intelligence (US), Bondi Labs (Australia), and binah.ai (US).

This research report categorizes the Augmented intelligence market to forecast revenues and analyze trends in each of the following submarkets:

Based on Component, the Augmented intelligence market has the following segments:

  • Software
  • Services

Based on Technology, the market has the following segments:

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others (Predictive Analytics, Context-Aware Computing, Spatial Navigation, Logical Reasoning and Pattern Recognition).

Based on Deployment Mode, the Augmented intelligence market has the following segments:

  • Cloud
  • On-premises

Based on Organization Size, the market has the following segments:

  • Small and Medium-Sized Enterprises
  • Large Enterprises

Based on Vertical, the Augmented intelligence market has the following segment

  • BFSI
  • IT & Telecom
  • Retail & Consumer Goods
  • Healthcare & Life Sciences
  • Manufacturing
  • Government & Defense
  • Energy & Utilities
  • Transportation & Logistics
  • Media & Entertainment
  • Others (Travel, Hospitality, Research and Academia).

Based on regions, the market has the following segments:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • India
    • China
    • Japan
    • Rest of Asia Pacific
  • Middle East & Africa
    • KSA
    • South Africa
    • UAE
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In March 2022, Schlumberger partnered with Dataiku to provide customers with a single, centralized platform for designing, deploying, governing, and managing AI and analytics applications, allowing everyday users to create 'low-code no-code' AI solutions.
  • In April 2021, Oracle made its GoldenGate technology available as a highly automated, fully managed cloud service that clients can use to help ensure that their valuable data is always available and analyzable in real-time, wherever they need it.
  • In April 2020, IBM released novel AI-powered technologies. IBM released novel AI-powered technologies to help the Health and Research Community accelerate the discovery of medical insights and treatments for COVID-19.
  • In September 2019, Salesforce acquired Tableau, which is a data visualization and analytics solution provider, for USD 15.7 billion. With this acquisition, Salesforce aims at competing with Microsoft in the area of Power BI and data visualization space.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 37)
    1.1 INTRODUCTION TO COVID-19
    1.2 COVID-19 HEALTH ASSESSMENT
           FIGURE 1 COVID-19: GLOBAL PROPAGATION
           FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
    1.3 COVID-19 ECONOMIC ASSESSMENT
           FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
           1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
                    FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
                    FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
    1.4 OBJECTIVES OF THE STUDY
    1.5 MARKET DEFINITION
           1.5.1 INCLUSIONS AND EXCLUSIONS
    1.6 MARKET SCOPE
           1.6.1 MARKET SEGMENTATION
           1.6.2 REGIONS COVERED
           1.6.3 YEARS CONSIDERED FOR THE STUDY
    1.7 CURRENCY CONSIDERED
           TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020
    1.8 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 46)
    2.1 RESEARCH DATA
           FIGURE 6 AUGMENTED INTELLIGENCE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
           FIGURE 7 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
           FIGURE 8 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE AUGMENTED INTELLIGENCE MARKET
                    FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 - BOTTOM-UP  (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
                    FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF THE MARKET
                    FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AUGMENTED INTELLIGENCE THROUGH THE OVERALL AUGMENTED INTELLIGENCE SPENDING
    2.4 MARKET FORECAST
           TABLE 3 FACTOR ANALYSIS
           TABLE 4 IMPACT OF COVID-19
    2.5 COMPANY EVALUATION MATRIX
           FIGURE 13 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
           FIGURE 14 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 ASSUMPTIONS FOR THE STUDY
    2.8 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY (Page No. - 60)
    TABLE 5 GLOBAL AUGMENTED INTELLIGENCE MARKET SIZE AND GROWTH RATE,  2016–2021 (USD BILLION, Y-O-Y%)
    TABLE 6 GLOBAL MARKET SIZE AND GROWTH RATE,  2022–2027 (USD BILLION, Y-O-Y%)
    FIGURE 15 SOFTWARE SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2022
    FIGURE 16 MACHINE LEARNING SEGMENT TO ACCOUNT FOR A LARGER MARKET  SHARE IN 2022
    FIGURE 17 ON-PREMISES SEGMENT TO HOLD A LARGER MARKET  SIZE IN 2022
    FIGURE 18 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2022
    FIGURE 19 BFSI TO CONTRIBUTE THE HIGHEST MARKET REVENUE DURING THE FORECAST PERIOD
    FIGURE 20 NORTH AMERICA TO BE AN EMERGING DOMINANT REGION IN TERMS OF MARKET SIZE IN 2022

4 PREMIUM INSIGHTS (Page No. - 64)
    4.1 BRIEF OVERVIEW OF THE AUGMENTED INTELLIGENCE MARKET
           FIGURE 21 INCREASED DIGITALIZATION AND EMERGING TECHNOLOGIES SUCH AS BIG DATA, ML, ANALYTICS, IOT, AND AI TO DRIVE THE MARKET GROWTH
    4.2 MARKET: TOP THREE VERTICALS
           FIGURE 22 BFSI SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
    4.3 MARKET, BY REGION
           FIGURE 23 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
    4.4 NORTH AMERICA: MARKET,  BY TECHNOLOGY AND VERTICAL
           FIGURE 24 MACHINE LEARNING TECHNOLOGY AND BFSI TO ACCOUNT FOR THE LARGEST SHARES IN THE MARKET IN 2022

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 66)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           FIGURE 25 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES:  AUGMENTED INTELLIGENCE MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Increasing volume of complex business data
                    5.2.1.2 Growing adoption of advanced augmented intelligence and analytics tools
                    5.2.1.3 Adoption and scaling of digital initiatives
           5.2.2 RESTRAINTS
                    5.2.2.1 Apprehension about technologies replacing humans
                    5.2.2.2 Data security concerns
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Increase in adoption of artificial intelligence, machine learning, and natural language processing technologies
                    5.2.3.2 High adoption of augmented intelligence solutions among SMEs
           5.2.4 CHALLENGES
                    5.2.4.1 Integration of data from data silos
                    5.2.4.2 Ownership and privacy of collected data
                    5.2.4.3 Lack of skilled workforce
           5.2.5 CUMULATIVE GROWTH ANALYSIS
    5.3 AUGMENTED INTELLIGENCE: EVOLUTION
           FIGURE 26 EVOLUTION OF AUGMENTED INTELLIGENCE
    5.4 CASE STUDY ANALYSIS
           5.4.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
                    5.4.1.1 Case study 1: Cognizant’s AI and Automation solution helps an insurance company improve the insurance claims process
                    5.4.1.2 Case study 2: Eiffage Becomes Proactive in its Financial Management with TIBCO Spotfire Software
           5.4.2 IT & TELECOM
                    5.4.2.1 Case study 1: Orange builds a Sustainable Data Practice with the help of Dataiku
           5.4.3 RETAIL & CONSUMER GOODS
                    5.4.3.1 Case study 1: ASOS used Microsoft Azure ML service to reduce time-to-market for a recommendations model
           5.4.4 ENERGY & UTILITIES
                    5.4.4.1 Case study 1: Intermediate Energy Company Drills Down into Data Insights for Better Performance
           5.4.5 TRANSPORTATION & LOGISTICS
                    5.4.5.1 Case study 1: Sisense allows Air Canada to extract meaningful insights and has become an indispensable operational management tool
           5.4.6 HEALTHCARE & LIFE SCIENCES
                    5.4.6.1 Case study 1: The company focuses on integrating data to get a 360-degree view of customers, without restoring manual processes
                    5.4.6.2 Case study 2: Inspire used ML to connect millions of patients and caregivers on AWS
           5.4.7 MANUFACTURING
                    5.4.7.1 Case Study 1: IBM helped SHENZHEN CHINA STAR OPTOELECTRONICS TECHNOLOGY CO LTD. (CSOT) boost production quality and throughput
           5.4.8 MEDIA & ENTERTAINMENT
                    5.4.8.1 Case study 1: One of the world’s leading media conglomerates adopted HCL’s augmented intelligence solution to redefine user experience through human-centric design
           5.4.9 GOVERNMENT & DEFENSE
                    5.4.9.1 Case study 1: By moving to Equinix’s TY3 facility, OANDA was able to improve this time by 93%, providing its Japanese customers with real-time access to its foreign exchange trading market
    5.5 SUPPLY/VALUE CHAIN ANALYSIS
           FIGURE 27 SUPPLY/VALUE CHAIN ANALYSIS
    5.6 TECHNOLOGY ANALYSIS
           5.6.1 AI AND AUGMENTED INTELLIGENCE
           5.6.2 ML AND AUGMENTED INTELLIGENCE
           5.6.3 IOT AND AUGMENTED INTELLIGENCE
           5.6.4 CLOUD COMPUTING AND AUGMENTED INTELLIGENCE
    5.7 PATENT ANALYSIS
           5.7.1 METHODOLOGY
           5.7.2 DOCUMENT TYPE
                    TABLE 7 PATENTS FILED, 2019–2022
           5.7.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 28 ANNUAL NUMBER OF PATENTS GRANTED, 2019–2022
                    5.7.3.1 Top applicants
                               FIGURE 29 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2022
    5.8 AUGMENTED INTELLIGENCE ECOSYSTEM
           TABLE 8 AUGMENTED INTELLIGENCE MARKET: ECOSYSTEM
    5.9 PRICING MODEL ANALYSIS
           TABLE 9 PRICING MODEL
    5.1 PORTER’S FIVE FORCES ANALYSIS
           FIGURE 30 MARKET: PORTER’S FIVE FORCES ANALYSIS
           TABLE 10 MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.10.1 THREAT OF NEW ENTRANTS
           5.10.2 THREAT OF SUBSTITUTES
           5.10.3 BARGAINING POWER OF SUPPLIERS
           5.10.4 BARGAINING POWER OF BUYERS
           5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    5.11 REGULATORY IMPLICATIONS
           5.11.1 GENERAL DATA PROTECTION REGULATION
           5.11.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
           5.11.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
           5.11.4 SARBANES-OXLEY ACT OF 2002
           5.11.5 SOC 2 TYPE II COMPLIANCE
           5.11.6 ISO/IEC 27001
           5.11.7 THE GRAMM–LEACH–BLILEY ACT
    5.12 AUGMENTED INTELLIGENCE MARKET: COVID-19 IMPACT
    5.13 KEY CONFERENCES & EVENTS IN 2022-2023
                    TABLE 11 CONNECTED MARKET: DETAILED LIST OF CONFERENCES & EVENTS
    5.14 TARIFF AND REGULATORY LANDSCAPE
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 16 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.14.2 NORTH AMERICA: REGULATIONS
                    5.14.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
                    5.14.2.2 Gramm-Leach-Bliley (GLB) Act
                    5.14.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
                    5.14.2.4 Federal Information Security Management Act (FISMA)
                    5.14.2.5 Federal Information Processing Standards (FIPS)
                    5.14.2.6 California Consumer Privacy Act (CSPA)
           5.14.3 EUROPE: TARIFFS AND REGULATIONS
                    5.14.3.1 GDPR 2016/679 is a regulation in the EU
                    5.14.3.2 General Data Protection Regulation
                    5.14.3.3 European Committee for Standardization
                    5.14.3.4 European Technical Standards Institute
    5.15 KEY STAKEHOLDERS & BUYING CRITERIA
           5.15.1 KEY STAKEHOLDERS IN THE BUYING PROCESS
                    TABLE 17 INFLUENCE OF STAKEHOLDERS IN THE BUYING PROCESS FOR THE TOP 3 SOLUTIONS (%)
           5.15.2 BUYING CRITERIA
                    TABLE 18 KEY BUYING CRITERIA FOR THE TOP 3 APPLICATIONS

6 AUGMENTED INTELLIGENCE MARKET, BY COMPONENT (Page No. - 95)
    6.1 INTRODUCTION
           6.1.1 COVID-19 IMPACT ON THE MARKET, BY COMPONENT
                    FIGURE 31 SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
                    TABLE 19 MARKET, BY COMPONENT, 2016–2021 (USD BILLION)
                    TABLE 20 MARKET, BY COMPONENT, 2022–2027 (USD BILLION)
           6.1.2 COMPONENT: MARKET DRIVERS
    6.2 SOFTWARE
           TABLE 21 SOFTWARE: MARKET, BY REGION, 2016–2021 (USD BILLION)
           TABLE 22 SOFTWARE: MARKET, BY REGION, 2022–2027 (USD BILLION)
    6.3 SERVICES
           TABLE 23 SERVICES: MARKET, BY REGION, 2016–2021 (USD BILLION)
           TABLE 24 SERVICES: MARKET, BY REGION, 2022–2027 (USD BILLION)

7 AUGMENTED INTELLIGENCE MARKET, BY TECHNOLOGY (Page No. - 101)
    7.1 INTRODUCTION
           7.1.1 COVID-19 IMPACT ON THE MARKET, BY TECHNOLOGY
                    FIGURE 32 COMPUTER VISION SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
                    TABLE 25 MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                    TABLE 26 MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
           7.1.2 TECHNOLOGY: MARKET DRIVERS
    7.2 MACHINE LEARNING
           TABLE 27 MACHINE LEARNING: MARKET, BY REGION,  2016–2021 (USD BILLION)
           TABLE 28 MACHINE LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
    7.3 NATURAL LANGUAGE PROCESSING
           TABLE 29 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2016–2021 (USD BILLION)
           TABLE 30 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2022–2027 (USD BILLION)
    7.4 COMPUTER VISION
           TABLE 31 COMPUTER VISION: AUGMENTED INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
           TABLE 32 COMPUTER VISION: MARKET, BY REGION,  2022–2027 (USD BILLION)
    7.5 OTHER TECHNOLOGIES
           TABLE 33 OTHER TECHNOLOGIES: MARKET, BY REGION,  2016–2021 (USD BILLION)
           TABLE 34 OTHER TECHNOLOGIES: MARKET, BY REGION,  2022–2027 (USD BILLION)

8 AUGMENTED INTELLIGENCE MARKET, BY DEPLOYMENT MODE (Page No. - 109)
    8.1 INTRODUCTION
           8.1.1 COVID-19 IMPACT ON THE MARKET, BY DEPLOYMENT MODE
                    FIGURE 33 CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
                    TABLE 35 MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                    TABLE 36 MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
           8.1.2 DEPLOYMENT MODE: MARKET DRIVERS
    8.2 ON-PREMISES
           TABLE 37 ON-PREMISES: MARKET, BY REGION,  2016–2021 (USD BILLION)
           TABLE 38 ON-PREMISES: MARKET, BY REGION, 2022–2027 (USD BILLION)
    8.3 CLOUD
           TABLE 39 CLOUD: MARKET, BY REGION, 2016–2021 (USD BILLION)
           TABLE 40 CLOUD: MARKET, BY REGION, 2022–2027 (USD BILLION)

9 AUGMENTED INTELLIGENCE MARKET, BY ORGANIZATION SIZE (Page No. - 115)
    9.1 INTRODUCTION
           9.1.1 COVID-19 IMPACT ON THE MARKET, BY ORGANIZATION SIZE
                    FIGURE 34 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
                    TABLE 41 MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
                    TABLE 42 MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
           9.1.2 ORGANIZATIONS SIZE: MARKET DRIVERS
    9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
           TABLE 43 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET,  BY REGION, 2016–2021 (USD BILLION)
           TABLE 44 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET,  BY REGION, 2022–2027 (USD BILLION)
    9.3 LARGE ENTERPRISES
           TABLE 45 LARGE ENTERPRISES: MARKET, BY REGION,  2016–2021 (USD BILLION)
           TABLE 46 LARGE ENTERPRISES: MARKET, BY REGION,  2022–2027 (USD BILLION)

10 AUGMENTED INTELLIGENCE MARKET, BY VERTICAL (Page No. - 121)
     10.1 INTRODUCTION
             10.1.1 COVID-19 IMPACT ON THE MARKET, BY VERTICAL
                       FIGURE 35 BFSI VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
                       TABLE 47 MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 48 MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
     10.2 VERTICAL: MARKET DRIVERS
     10.3 BANKING, FINANCIAL SERVICES, AND INSURANCE
               TABLE 49 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
               TABLE 50 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET, BY REGION, 2016–2021 (USD BILLION)
               TABLE 51 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET, BY REGION, 2022–2027 (USD BILLION)
     10.4 TELECOMMUNICATIONS & IT
               TABLE 52 TELECOMMUNICATIONS & IT: USE CASES
               TABLE 53 TELECOMMUNICATIONS & IT: AUGMENTED INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 54 TELECOMMUNICATIONS & IT:MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.5 RETAIL & CONSUMER GOODS
               TABLE 55 RETAIL & CONSUMER GOODS: USE CASES
               TABLE 56 RETAIL & CONSUMER GOODS: MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 57 RETAIL & CONSUMER GOODS: MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.6 HEALTHCARE & LIFE SCIENCES
               TABLE 58 HEALTHCARE & LIFE SCIENCES: USE CASES
               TABLE 59 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 60 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2022–2027 (USD BILLION)
     10.7 GOVERNMENT & DEFENSE
               TABLE 61 GOVERNMENT & DEFENSE: USE CASES
               TABLE 62 GOVERNMENT & DEFENSE: MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 63 GOVERNMENT & DEFENSE: MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.8 MEDIA & ENTERTAINMENT
               TABLE 64 MEDIA & ENTERTAINMENT: USE CASES
               TABLE 65 MEDIA & ENTERTAINMENT: AUGMENTED INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 66 MEDIA & ENTERTAINMENT: MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.9 MANUFACTURING
               TABLE 67 MANUFACTURING: USE CASES
               TABLE 68 MANUFACTURING: MARKET, BY REGION, 2016–2021 (USD BILLION)
               TABLE 69 MANUFACTURING: MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.10 TRANSPORTATION & LOGISTICS
               TABLE 70 TRANSPORTATION & LOGISTICS: USE CASES
               TABLE 71 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2016–2021 (USD BILLION)
               TABLE 72 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2022–2027 (USD BILLION)
     10.11 ENERGY & UTILITIES
               TABLE 73 ENERGY & UTILITIES: USE CASES
               TABLE 74 ENERGY & UTILITIES: MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 75 ENERGY & UTILITIES: MARKET, BY REGION,  2022–2027 (USD BILLION)
     10.12 OTHER VERTICALS
                       TABLE 76 OTHER VERTICALS: USE CASES
                       TABLE 77 OTHER VERTICALS: MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 78 OTHER VERTICALS: MARKET, BY REGION, 2022–2027 (USD BILLION)

11 AUGMENTED INTELLIGENCE MARKET, BY REGION (Page No. - 139)
     11.1 INTRODUCTION
               FIGURE 36 JAPAN TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
               FIGURE 37 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
               TABLE 79 MARKET SIZE, BY REGION, 2016–2021 (USD BILLION)
               TABLE 80 MARKET SIZE, BY REGION, 2022–2027 (USD BILLION)
     11.2 NORTH AMERICA
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: COVID-19 IMPACT
                       TABLE 81 NORTH AMERICA: PROMINENT PLAYERS
                       FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 82 NORTH AMERICA: AUGMENTED INTELLIGENCE MARKET, BY COMPONENT,  2016–2021 (USD BILLION)
                       TABLE 83 NORTH AMERICA: MARKET, BY COMPONENT,  2022–2027 (USD BILLION)
                       TABLE 84 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 85 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 86 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 87 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 88 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 89 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 90 NORTH AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 91 NORTH AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD BILLION)
                       TABLE 92 NORTH AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD BILLION)
                       TABLE 93 NORTH AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD BILLION)
             11.2.3 UNITED STATES
                       11.2.3.1 Rapid adoption and use of digitally innovative solutions, the presence of tech giants, and the increased use of the internet to drive the market growth
             11.2.4 CANADA
                       11.2.4.1 Startup ecosystem and transformation into data-driven organizations to drive the growth of augmented intelligence solutions in Canada
     11.3 EUROPE
             11.3.1 EUROPE: AUGMENTED INTELLIGENCE MARKET DRIVERS
             11.3.2 EUROPE: COVID-19 IMPACT
                       TABLE 94 EUROPE: PROMINENT PLAYERS
                       TABLE 95 EUROPE: MARKET, BY COMPONENT, 2016–2021 (USD BILLION)
                       TABLE 96 EUROPE: MARKET, BY COMPONENT, 2022–2027 (USD BILLION)
                       TABLE 97 EUROPE: MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                       TABLE 98 EUROPE: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
                       TABLE 99 EUROPE: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 100 EUROPE: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 101 EUROPE: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 102 EUROPE: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 103 EUROPE: MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 104 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
                       TABLE 105 EUROPE: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
                       TABLE 106 EUROPE: MARKET SIZE, BY COUNTRY, 2022–2027 (USD BILLION)
             11.3.3 UNITED KINGDOM
                       11.3.3.1 Advanced IT infrastructure, technologies, and continued transition toward intelligence services to drive the growth of augmented intelligence solutions in the UK
             11.3.4 GERMANY
                       11.3.4.1 Government initiatives for technological developments in the manufacturing vertical to drive the growth of augmented intelligence solutions in Germany
             11.3.5 FRANCE
                       11.3.5.1 Heavy R&D investments, digitalization, and strong hold of retail and manufacturing verticals to drive the growth of the augmented intelligence market in France
             11.3.6 REST OF EUROPE
     11.4 ASIA PACIFIC
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: COVID-19 IMPACT
                       TABLE 107 ASIA PACIFIC: PROMINENT PLAYERS
                       FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 108 ASIA PACIFIC: MARKET, BY COMPONENT,  2016–2021 (USD BILLION)
                       TABLE 109 ASIA PACIFIC: MARKET, BY COMPONENT,  2022–2027 (USD BILLION)
                       TABLE 110 ASIA PACIFIC: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 111 ASIA PACIFIC: MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 112 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 113 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 114 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 115 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 116 ASIA PACIFIC: MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 117 ASIA PACIFIC: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
                       TABLE 118 ASIA PACIFIC: MARKET, BY COUNTRY,  2016–2021 (USD BILLION)
                       TABLE 119 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (USD BILLION)
             11.4.3 CHINA
                       11.4.3.1 The use of augmented intelligence services for driving policy support and technological investments to fuel the adoption of these services in China
             11.4.4 JAPAN
                       11.4.4.1 Rise of innovative technologies and collaboration between governments and businesses for augmented intelligence in Japan
             11.4.5 INDIA
                       11.4.5.1 Local entrepreneurs with the shift in technologies to provide support to Indian companies in the augmented intelligence market
             11.4.6 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST AND AFRICA
             11.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
                       TABLE 120 MIDDLE EAST & AFRICA: PROMINENT PLAYERS
                       TABLE 121 MIDDLE EAST & AFRICA: AUGMENTED INTELLIGENCE MARKET, BY COMPONENT,  2016–2021 (USD BILLION)
                       TABLE 122 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT,  2022–2027 (USD BILLION)
                       TABLE 123 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 124 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 125 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                       TABLE 126 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
                       TABLE 127 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
                       TABLE 128 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
                       TABLE 129 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 130 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2022–2027 (USD BILLION)
                       TABLE 131 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2016–2021 (USD BILLION)
                       TABLE 132 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2022–2027 (USD BILLION)
             11.5.3 UNITED ARAB EMIRATES
                       11.5.3.1 New investments, strategies, and products to drive the adoption of augmented intelligence solutions in the region
             11.5.4 KINGDOM OF SAUDI ARABIA
                       11.5.4.1 Growing need for delivering actionable insights to drive the augmented intelligence market in the Kingdom of Saudi Arabia
             11.5.5 SOUTH AFRICA
                       11.5.5.1 Growing digitalization in African countries to offer opportunities for deploying augmented intelligence solutions in South Africa
             11.5.6 REST OF MIDDLE EAST AND AFRICA
                       11.5.6.1 Increase in globalization to offer opportunities to deploy augmented intelligence solutions in the rest of Middle East & Africa
     11.6 LATIN AMERICA
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: COVID-19 IMPACT
                       TABLE 133 LATIN AMERICA: PROMINENT PLAYERS
                       TABLE 134 LATIN AMERICA: AUGMENTED INTELLIGENCE MARKET, BY COMPONENT,  2016–2021 (USD BILLION)
                       TABLE 135 LATIN AMERICA: MARKET, BY COMPONENT,  2022–2027 (USD BILLION)
                       TABLE 136 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 137 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 138 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 139 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 140 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 141 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 142 LATIN AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 143 LATIN AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
                       TABLE 144 LATIN AMERICA: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
                       TABLE 145 LATIN AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD BILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Increased use of internet, technologies, and government organizations to increase the demand in Brazil
             11.6.4 MEXICO
                       11.6.4.1 Increasing trade, rising customer base, and government initiatives to fuel the growth of augmented intelligence
             11.6.5 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE (Page No. - 180)
     12.1 OVERVIEW
     12.2 KEY PLAYER STRATEGIES
               TABLE 146 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN THE AUGMENTED INTELLIGENCE MARKET
     12.3 REVENUE ANALYSIS
               FIGURE 40 REVENUE ANALYSIS FOR KEY COMPANIES IN THE PAST FIVE YEARS
     12.4 MARKET SHARE ANALYSIS
               FIGURE 41 MARKET SHARE ANALYSIS
               TABLE 147 MARKET: DEGREE OF COMPETITION
     12.5 COMPANY EVALUATION QUADRANT
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
                       FIGURE 42 KEY MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2021
     12.6 STARTUP/SME EVALUATION QUADRANT
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                       FIGURE 43 STARTUPS/SMES: AUGMENTED INTELLIGENCE MARKET EVALUATION MATRIX, 2021
     12.7 COMPETITIVE BENCHMARKING
               TABLE 148 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 149 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS [STARTUPS/SMES]
     12.8 COMPETITIVE SCENARIO
             12.8.1 PRODUCT LAUNCHES
                       TABLE 150 PRODUCT LAUNCHES, OCTOBER 2019–FEBRUARY 2022
             12.8.2 DEALS
                       TABLE 151 DEALS, OCTOBER 2018–MARCH 2022

13 COMPANY PROFILES (Page No. - 191)
     13.1 INTRODUCTION
     13.2 MAJOR PLAYERS
(Business overview, Products and services offered, Recent Developments, COVID-19-related developments, MNM View, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats)*
             13.2.1 IBM
                       TABLE 152 IBM: BUSINESS OVERVIEW
                       FIGURE 44 IBM: COMPANY SNAPSHOT
                       TABLE 153 IBM: PRODUCTS OFFERED
                       TABLE 154 IBM: SERVICES OFFERED
                       TABLE 155 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 156 IBM: DEALS
             13.2.2 SALESFORCE
                       TABLE 157 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 45 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 158 SALESFORCE: PRODUCTS OFFERED
                       TABLE 159 SALESFORCE: SERVICES OFFERED
                       TABLE 160 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 161 SALESFORCE: DEALS
             13.2.3 GOOGLE
                       TABLE 162 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 46 GOOGLE: COMPANY SNAPSHOT
                       TABLE 163 GOOGLE: PRODUCTS OFFERED
                       TABLE 164 GOOGLE: SERVICES OFFERED
                       TABLE 165 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 166 GOOGLE: DEALS
             13.2.4 MICROSOFT
                       TABLE 167 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 47 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 168 MICROSOFT: PRODUCTS OFFERED
                       TABLE 169 MICROSOFT: SERVICES OFFERED
                       TABLE 170 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 171 MICROSOFT: DEALS
             13.2.5 SAP
                       TABLE 172 SAP: BUSINESS OVERVIEW
                       FIGURE 48 SAP: COMPANY SNAPSHOT
                       TABLE 173 SAP: PRODUCTS OFFERED
                       TABLE 174 SAP: SERVICES OFFERED
                       TABLE 175 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 176 SAP: DEALS
             13.2.6 SAS
                       TABLE 177 SAS: BUSINESS OVERVIEW
                       FIGURE 49 SAS: COMPANY SNAPSHOT
                       TABLE 178 SAS: PRODUCTS OFFERED
                       TABLE 179 SAS: SERVICES OFFERED
                       TABLE 180 SAS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 181 SAS: DEALS
             13.2.7 COGNITIVESCALE
                       TABLE 182 COGNITIVESCALE: BUSINESS OVERVIEW
                       TABLE 183 COGNITIVESCALE: PRODUCTS OFFERED
                       TABLE 184 COGNITIVESCALE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 185 COGNITIVESCALE: DEALS
             13.2.8 QLIKTECH INTERNATIONAL AB
                       TABLE 186 QLIKTECH INTERNATIONAL AB: BUSINESS OVERVIEW
                       TABLE 187 QLIKTECH INTERNATIONAL AB: PRODUCTS OFFERED
                       TABLE 188 QLIKTECH INTERNATIONAL AB: SERVICES OFFERED
                       TABLE 189 QLIKTECH INTERNATIONAL AB: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 190 QLIKTECH INTERNATIONAL AB: DEALS
             13.2.9 TIBCO
                       TABLE 191 TIBCO: BUSINESS OVERVIEW
                       TABLE 192 TIBCO: PRODUCTS OFFERED
                       TABLE 193 TIBCO: SERVICES OFFERED
                       TABLE 194 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 195 TIBCO: DEALS
             13.2.10 AWS
                       TABLE 196 AWS: BUSINESS OVERVIEW
                       FIGURE 50 AWS: COMPANY SNAPSHOT
                       TABLE 197 AWS: PRODUCTS OFFERED
                       TABLE 198 AWS: SERVICES OFFERED
                       TABLE 199 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 200 AWS: DEALS
             13.2.11 NEORIS
                       TABLE 201 NEORIS: BUSINESS OVERVIEW
                       TABLE 202 NEORIS: PRODUCTS OFFERED
                       TABLE 203 NEORIS: SERVICES OFFERED
                       TABLE 204 NEORIS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 205 NEORIS: DEALS
             13.2.12 SISENSE
                       TABLE 206 SISENSE: BUSINESS OVERVIEW
                       TABLE 207 SISENSE: PRODUCTS OFFERED
                       TABLE 208 SISENSE: SERVICES OFFERED
                       TABLE 209 SISENSE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 210 SISENSE: DEALS
             13.2.13 MICROSTRATEGY
                       TABLE 211 MICROSTRATEGY: BUSINESS OVERVIEW
                       FIGURE 51 MICROSTRATEGY: COMPANY SNAPSHOT
                       TABLE 212 MICROSTRATEGY: PRODUCTS OFFERED
                       TABLE 213 MICROSTRATEGY: SERVICES OFFERED
                       TABLE 214 MICROSTRATEGY: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 215 MICROSTRATEGY: DEALS
             13.2.14 DATAIKU
                       TABLE 216 DATAIKU: BUSINESS OVERVIEW
                       TABLE 217 DATAIKU: PRODUCTS OFFERED
                       TABLE 218 DATAIKU: SERVICES OFFERED
                       TABLE 219 DATAIKU: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 220 DATAIKU: DEALS
     13.3 SMES AND STARTUPS
             13.3.1 COSMO TECH
             13.3.2 JUMIO
             13.3.3 LUCIDWORKS
             13.3.4 SQUIRRO
             13.3.5 DATAROBOT
             13.3.6 BONDI LABS
             13.3.7 EAZYML
             13.3.8 STRADIGI AI
             13.3.9 AIBLE
             13.3.10 PECAN AI
             13.3.11 TELLIUS
             13.3.12 BINAH.AI
             13.3.13 AUGMENTED INTELLIGENCE (AUI)
             13.3.14 PRYON
             13.3.15 BIOXPLOR
             13.3.16 CAUSA LENS

*Details on Business overview, Products and services offered, Recent Developments, COVID-19-related developments, MNM View, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.

14 ADJACENT AND RELATED MARKETS (Page No. - 254)
     14.1 INTRODUCTION
     14.2 NATURAL LANGUAGE PROCESSING MARKET—GLOBAL FORECAST TO 2026
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
                       14.2.2.1 Natural language processing market, by component
                                   TABLE 221 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                   TABLE 222 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT,  2019–2026 (USD MILLION)
                       14.2.2.2 Natural language processing market, by solution type
                                   TABLE 223 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE,  2015–2019 (USD MILLION)
                                   TABLE 224 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE,  2019–2026 (USD MILLION)
                       14.2.2.3 Natural language processing market, by deployment mode
                                   TABLE 225 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE,  2015–2019 (USD MILLION)
                                   TABLE 226 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE,  2019–2026 (USD MILLION)
                       14.2.2.4 Natural language processing market, by organization size
                                   TABLE 227 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE,  2015–2019 (USD MILLION)
                                   TABLE 228 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE,  2019–2026 (USD MILLION)
                       14.2.2.5 Natural language processing market, by type
                                   TABLE 229 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                   TABLE 230 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                       14.2.2.6 Natural language processing market, by application
                                   TABLE 231 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                   TABLE 232 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                       14.2.2.7 Natural language processing market, by vertical
                                   TABLE 233 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                   TABLE 234 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                       14.2.2.8 Natural language processing market, by region
                                   TABLE 235 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                                   TABLE 236 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
                                   TABLE 237 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 238 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 239 EUROPE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 240 EUROPE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 241 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 242 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 243 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET SIZE,  BY COUNTRY, 2015–2019 (USD MILLION)
                                   TABLE 244 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET SIZE,  BY COUNTRY, 2019–2026 (USD MILLION)
                                   TABLE 245 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 246 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY,  2019–2026 (USD MILLION)
     14.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2025
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
                       14.3.2.1 Conversational AI market, by component
                                   TABLE 247 CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                                   TABLE 248 CONVERSATIONAL AI MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                       14.3.2.2 Conversational AI market, by type
                                   TABLE 249 CONVERSATIONAL AI MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                       14.3.2.3 Conversational AI market, by technology
                                   TABLE 250 CONVERSATIONAL AI MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                       14.3.2.4 Conversational AI market, by deployment mode
                                   TABLE 251 CONVERSATIONAL AI MARKET SIZE, BY DEPLOYMENT MODE,  2019–2025 (USD MILLION)
                       14.3.2.5 Conversational AI market, by application
                                   TABLE 252 CONVERSATIONAL AI MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                       14.3.2.6 Conversational AI market, by vertical
                                   TABLE 253 CONVERSATIONAL AI MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                       14.3.2.7 Conversational AI market, by region
                                   TABLE 254 CONVERSATIONAL AI MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
                                   TABLE 255 NORTH AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
                                   TABLE 256 EUROPE: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY,  2019–2025 (USD MILLION)
                                   TABLE 257 ASIA PACIFIC: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
                                   TABLE 258 MIDDLE EAST AND AFRICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY,  2019–2025 (USD MILLION)
                                   TABLE 259 LATIN AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)

15 APPENDIX (Page No. - 272)
     15.1 DISCUSSION GUIDE
     15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL
     15.3 AVAILABLE CUSTOMIZATIONS
     15.4 RELATED REPORTS
     15.5 AUTHOR DETAILS

The research study for the Augmented intelligence market report involved the use of extensive secondary sources, directories, as well as several journals and magazines, to identify and collect information that is useful for this technical and market-oriented study. During the production cycle of the report, in-depth interviews were conducted with various primary respondents, including key opinion leaders, subject-matter experts, high-level executives of various companies offering Augmented intelligence and services, and industry consultants, to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to, for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of Augmented intelligence vendors; white papers, certified publications, and articles from recognized industry associations; statistics bureaus; and government publishing sources. The secondary research was carried out to obtain key information about the industry’s value and supply chain, the total pool of key players, market classifications, and segmentations from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides of the Augmented intelligence market ecosystem were interviewed to obtain qualitative and quantitative information for the study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives of various vendors providing Augmented intelligence, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data.

Given below is the breakup of the primary respondents:

Augmented Intelligence Market  Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were used to estimate and validate the size of the global Augmented intelligence market and estimate the size of various other dependent subsegments. The research methodology used to estimate the market size included the following details: the key players in the market were identified through secondary research and their revenue contributions in the respective regions were determined through primary and secondary research. The entire procedure included the study of the annual and financial reports of top market players and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data was consolidated and added with detailed inputs and analysis from MarketsandMarkets.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Report Objectives

  • To determine and forecast the global 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 and analyze the various macroeconomic and microeconomic factors that affect market growth
  • To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (Asia Pacific), Middle East and Africa (Middle East & Africa), and Latin America
  • To provide detailed information related to the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the Augmented intelligence market
  • To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To profile the key market players; provide a comparative analysis based on business overviews, regional presence, product offerings, business strategies, and key financials; and illustrate the competitive landscape of the market
  • To track and analyze the competitive developments, such as mergers and acquisitions, product developments, partnerships and collaborations, and Research and Development (R&D) activities, in the market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product Matrix, which gives a detailed comparison of the product portfolios of each company

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Augmented Intelligence Market Size,  Share & Growth Report
Report Code
TC 8071
Published ON
Apr, 2022
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