증강 지능 시장 : 2027년까지의 세계 예측

출판 : MarketsandMarkets（마켓츠앤드마켓츠）출판년월 : 2022년04월

증강 지능 시장 : 구성 요소, 기술(기계 학습, 자연 언어 처리, 컴퓨터 비전), 조직 규모, 배포 모드, 산업, 지역별 – 2027년까지의 세계 예측

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

리포트목차　　　　주문/문의　　　　납기/라이센스안내

증강 지능의 시장규모는 2022년 동안 179억 달러, 2027년까지 547억 달러에 이르며 예측기간 연평균 성장률(CAGR)은 25.1%에 달할 것으로 예측。

MarketsandMarkets「증강 지능 시장 : 구성 요소, 기술(기계 학습, 자연 언어 처리, 컴퓨터 비전), 조직 규모, 배포 모드, 산업, 지역별 – 2027년까지의 세계 예측 – 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」는 세계의 증강 지능(오그멘티드 인텔리전스) 시장을 조사하고 주요 세그먼트별로 실시한 분석 및 예측 결과를 제공하고 있습니다。

MarketsandMarkets 분석 포인트

• 성장 촉진 요인: 복잡한 비즈니스 데이터 양 증가
• 저해 요인: 데이터 보안에 대한 우려
• 기회: 인공지능(AI), 기계 학습(ML/기계 학습), 자연 언어 처리(NLP) 기술 채택 증가
• 이슈: 데이터 사일로의 데이터 통합

조사 범위

• 구성요소
  • 소프트웨어
  • 서비스
• 기술
  • 기계 학습(ML/기계 학습)
  • 자연 언어 처리(NLP)
  • 컴퓨터 비전
  • 기타(예측 분석, 컨텍스트 스토어웨어 컴퓨팅, 공간 탐색, 논리적 추론, 패턴 인식)
• 전개 모드
  • 클라우드
  • 온프레미스
• 조직 규모
  • 중소기업
  • 대기업
• 수직시장
  • BFSI
  • IT&통신
  • 소매업 및 소비자용 제품
  • 의료 및 생명 과학
  • 제조업
  • 정부 및 방위
  • 에너지 및 공익 사업
  • 운송 및 물류
  • 미디어 및 엔터테인먼트
  • 기타(여행, 환대, 조사 및 학술 연구 기관)
• 지역
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 기타 유럽
  • 아시아 태평양 지역
    • 인도
    • 중국
    • 일본
    • 기타 아시아 태평양 지역
  • 중동 및 아프리카
    • 사우디 아라비아 왕국(KSA)
    • 남아프리카
    • UAE
    • 기타 중동 및 아프리카
  • 라틴 아메리카
    • 브라질
    • 멕시코
    • 기타 라틴 아메리카

Description

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.

COVID-19 impact on the global augmented intelligence market

COVID–19 has globally changed the dynamics of business operations. Though the COVID–19 outbreak has thrown light on weaknesses in business models across verticals, it has offered several opportunities to digitalize and expand their business across regions as the adoption and integration of technologies such as cloud, AI, analytics, IoT, and blockchain has increased in the lockdown period. Machine learning and data analytics have been critical in the fight against COVID-19, a recent lethal pandemic. Almost all countries have employed augmented intelligence empowered by machine learning, and AI analysis in some fashion to determine the growth rate of the curve of infected individuals and the death rate caused by the pandemic.

The most difficult aspect of using augmented intelligence during COVID-19 is gathering data. This appears to be one of the typical difficult challenges that all business are currently facing. Predicting the curve of death and the persons affected is one part of collecting numerical data. Another use of machine learning is to categories X-Ray images of COVID-19 patients and typical pneumonia patients using deep knowledge and advanced machine learning. Machine learning and deep learning applications can use the CT scan pictures of COVID-19 patients. To create these successful applications, strong high-end processors are required, which may not be available to many countries’ medical scientists at this difficult time.

COVID-19 is an unprecedented crisis that will impact business models and disrupt business continuity for companies around the globe. Data and technology have fundamentally changed the capacity to combat a threat, such as the pandemic, and adopt various measures for the future. Organizations are gaining insights into their data and businesses in new and innovative ways to make suitable business decisions.

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.

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).

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):

Which countries are considered in the European region?

The report includes an analysis of the UK, Germany, and France in the European region.

Which are key verticals adopting augmented intelligence solutions and services?

Key verticals adopting augmented intelligence solutions and services include banking, financial services, and insurance, IT & Telecom, Retail & Consumer Goods, Healthcare & Life Sciences, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics, Media & Entertainment, Others (Travel, Hospitality, Research and Academia).

Who are the key vendors in the augmented intelligence market?

The key 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) .

목차

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