증강 지능 시장 조사 - 규모, 점유율, 개발 및 미래 범위 2031

  • Report Code : TIPRE00008793
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 166
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증강지능 시장은 2020년 8억 9484만 달러에서 2027년 746억 1920만 달러로 성장할 것으로 예상됩니다. 2020년부터 2027년까지 연평균 성장률(CAGR) 35.4%로 성장할 것으로 예상됩니다.

디지털 지능을 위한 증강 지능 채택은 시장 성장에 기여하고 있습니다. 기계와 인간의 새로운 파트너십 모델인 증강지능(Augmented Intelligence)은 인간과 지능형 자동화가 함께 작동하는 가치에 초점을 맞춰 진화하고 있습니다. RPA(로봇 프로세스 자동화) 소프트웨어 로봇 형태의 디지털 작업자는 이제 기계 학습 및 AI를 통해 인간과 함께 작업하는 자동화 작업을 강화하는 데 집중할 수 있습니다. 실제로 디지털 작업자의 기여도는 향후 2년 동안 최대 50% 증가할 것으로 예상되며, 이는 인간-기계 협업을 기반으로 개발된 미래로의 실질적인 전환을 보여줍니다. 또한 비즈니스 리더들이 지능형 자동화에 대한 투자의 이점을 점점 더 깨닫고 있기 때문에 디지털 지능을 제공하기 위한 증강 지능 기술에 대한 상당한 투자가 향후 호황을 누릴 것으로 예상됩니다. 몇몇 조직에서는 비용 지출을 줄이기 위해 문서 워크플로를 디지털화, 자동화 및 최적화하는 것과 관련된 기술을 배포하고 있습니다. Deloitte는 여러 기업에서 증강 지능이 증가하는 것을 관찰했으며 약 37%의 기업이 이미 디지털 혁신에 미화 500만 달러 이상을 투자했다고 보고했습니다. 회사는 이러한 투자가 향후 몇 년 동안 계속될 것으로 예상하고 있습니다.

COVID-19 팬데믹이 증강 지능 시장에 미치는 영향

In 코로나19 위기 상황에서 디지털 인프라는 발병을 시각화하고 모델링하는 데 중요한 역할을 합니다. 코로나19가 전 세계적으로 계속 확산되면서 기업은 경쟁 우위를 유지하기 위해 혁신적인 솔루션을 찾는 것이 필수가 되었습니다. 기업에서는 이러한 상황을 수익성 있는 기회로 보고 있습니다. 그들은 디지털 비즈니스와 장기적인 회복력에 투자하는 대신 일상적인 운영 요구 사항에 집중하고 있습니다. 더욱이, 장거리 공동 작업의 강화된 기업 역량, 모든 인력의 디지털 혁신과 IT의 가치에 대한 광범위한 인식, 온라인 제품 마케팅 및 비즈니스 개발 능력은 현재 시나리오에서 디지털 시장에 큰 영향을 미쳤습니다. . 예를 들어, 디지털 뱅킹 및 결제 상품/서비스 가치 사슬을 개선하기 위해 은행은 AI, 머신러닝, 클라우드, 인간-컴퓨터 인터페이스, 사물인터넷, 블록체인 등 첨단 기술을 채택하는 데 주력하고 있습니다. 따라서 오늘날 기업들은 상당한 경쟁 우위를 확보하기 위해 자동화 플랫폼 내에 디지털 인프라를 신속하게 통합하는 데 주력하고 있으며, 이는 결과적으로 가까운 미래에 증강 지능 시장이 성장할 수 있는 수익성 있는 기회를 창출합니다.

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증강 지능 시장에서 수익성이 높은 지역


 

시장 통찰력–증강 지능 시장

개발 완전 자동화된 편의점

다양한 소매 혁신이 오프라인 시장과 디지털 시장 모두에서 소매 부문의 미래를 보여주고 있습니다. 예를 들어, Inspiration Corridor에서 개발한 터치스크린 복도는 이미지 인식 및 구매 내역을 활용하여 고객에게 상품을 제안하고 해당 상품을 찾아줍니다. 또한 Foodstuffs가 개발한 SMARTCART는 컴퓨터 비전 기술을 사용하여 제품이 바구니에 들어갈 때 이를 인식합니다. 그러면 소비자는 결제 세부정보와 연결된 모바일 애플리케이션을 활용하여 제품 비용을 자동으로 결제할 수 있습니다. 또한 DeepMagic으로 알려진 새로운 스타트업은 디지털 혁신을 활용하여 실제 매장의 경험을 향상시킵니다. 딥러닝 인공지능을 통해 DeepMagic은 소매업체가 완전히 자동화된 무인 실제 매장을 만들 수 있도록 지원합니다. DeepMagic은 이러한 무인 미니 매장이 안전하게 작동할 수 있도록 하는 이미지 인식 소프트웨어가 완전히 자동화되고 설치되는 팝업 스토어인 Qick Kiosk를 제공합니다. 미국과 유럽의 편의점 소매업체는 수요 예측을 강화하고, 공급망을 혁신하고, 구색 및 공간 계획을 개선하고, 뛰어난 매장 내 경험으로 쇼핑객을 기쁘게 하기 위해 AI를 포함한 신기술을 채택하는 데 주력하고 있습니다. 또한 업계 전문가들은 증강 지능이 향후 몇 년간 비즈니스에 혁신적인 영향을 미칠 것으로 예상한다고 강조합니다. 따라서 이미지 인식, 인공 지능, 증강 지능과 같은 신기술을 통해 시장 참여자들은 완전 자동화된 편의점 개발에 더욱 집중할 수 있습니다.


기술 기반 통찰력

기술을 기반으로 증강 지능 시장은 기계 학습, 자연어 처리, 머신 비전, 상황 인식 컴퓨팅 등으로 분류됩니다. 2019년에는 기계 학습 부문이 가장 큰 시장 점유율을 차지했습니다.

전략적 통찰력

증강 지능 시장에서 활동하는 플레이어는 주로 개발에 중점을 두고 있습니다.

  • 2020년 IBM은 인공 지능(AI)을 활용하는 새로운 솔루션인 Watson Advertising Social Targeting with Influential을 출시한다고 발표했습니다. 브랜드가 브랜드 가치에 가장 잘 부합하는 영향력 있는 사람을 식별할 수 있도록 돕습니다. Watson Advertising의 타겟팅 제품 제품군에 포함된 새로운 솔루션은 Influential과의 협력 확장을 의미합니다.
  • 2020년 SAP 파트너는 산업별 솔루션을 시장에 제공하는 데 고도로 전문화되어 있습니다. Vistex는 그러한 파트너 중 하나입니다. SAP와 파트너의 새로운 산업 클라우드 솔루션에서 핵심적인 역할을 담당할 파트너입니다.

증강 지능 시장은 다음과 같이 분류됩니다. :

증강지능 시장 – 기술별

  • 기계 학습
  • 자연어 처리
  • 컨텍스트 인식 컴퓨팅
  • 머신 비전
  • 기타

증강지능 시장 – 기업 규모별

  • 중소기업
  • 대기업

증강 지능 시장 – 최종 사용자별                       &nb sp ;              

  • IT 및 통신
  • 소매 및 전자 상거래
  • BFSI
  • 의료
  • 기타< /li>

증강지능 시장 – 지역별

  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • < li>유럽
    • 프랑스
    • 독일
    • 이탈리아
    • 러시아
    • 영국
    • 나머지 유럽
  • 아시아 태평양(APAC)
    • 일본
    • 중국
    • 호주
    • < li>인도
    • 대한민국
    • APAC 나머지 지역
  • 중동 및 아프리카(MEA)
    • 사우디아라비아
    • UAE
    • 남아프리카
    • 나머지 MEA
  • 남아메리카(SAM)< ul>
  • 브라질
  • 아르헨티나
  • SAM의 나머지 지역

증강 지능 시장 – 회사 프로필

  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • TIBCO Software Inc.
  • Sisense Inc.
  • Salesforce.com, Inc.
  • QlikTech International AB
  • MondoBrain Inc.
  • Cosmo Tech
  • < li>인지척도
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


Which Technology led the augmented intelligence market?

The Machine Learning technology led the augmented intelligence market. Machine learning (ML) is a subset of augmented intelligence, which focuses on a computer program that is capable of parsing data utilizing specific algorithms. Such a program is capable of adapting itself without human intervention, providing the desired output on the basis of analyzed data. In essence, utilizing ML techniques, a machine is trained for analyzing huge amounts of data and then learn to run specific tasks. The purpose of any analytical effort is to wisely use the information and ask the right questions so as to enhance business outcomes. Now more than ever, the decision-makers need intelligent methods of collecting information and making decisions, supporting them to extract valuable intelligence from continuously evolving information. This is where ML-based intelligence systems can support through enabling users to detect information, patterns, and trends that warrant attention.

Which factor is driving the augmented intelligence market?

Increase in implementation of augment analytics in business intelligence tools is one of the major factors driving the growth of the augmented intelligence market. Augmented analytics is implemented to enhance data sharing, data analytics, and business intelligence that marks the next trend of disruption in the data and analytics market. Data and analytics specialists are implementing augmented analytics with platform proficiencies into their present business models. Augmented analytics incorporates artificial intelligence elements into analytics and business intelligence process to help users develop their data, identify new insights, and effortlessly share them with everyone in the organization. Augmented analytics integrates natural language processing and artificial intelligence elements that transform the user experience across the whole business intelligence process. Moreover, data ingestion, understanding correlations in data, insight finding, and interacting with the platform have become more powerful and streamlined than their modern counterparts in a self-service paradigm. Several modern business intelligence solutions have mobile apps and some even have Amazon Alexa or chatbot integrations, which enable users to interact with the data through more than just mouse clicks.

Which region led augmented intelligence market?

The North America comprises of the US, Canada, and Mexico. Countries including the US and Canada are early adopters of modern technologies such as digital, IoT, AI, machine learning, augmented intelligence, and cloud computing. The technological advancements across North America have led to a highly competitive market. North America attracts several technological developments from economically robust countries. The companies in the region are continuously enhancing the overall business processes to meet customers' demand for high-quality products and services in the best possible way.

The List of Companies - Augmented Intelligence Market

  1. IBM Corporation
  2. Microsoft Corporation
  3. SAP SE
  4. TIBCO Software Inc.
  5. Sisense Inc.
  6. Salesforce.com, Inc.
  7. QlikTech International AB
  8. MondoBrain Inc.
  9. Cosmo Tech
  10. CognitiveScale

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

Your data will never be shared with third parties, however, we may send you information from time to time about our products that may be of interest to you. By submitting your details, you agree to be contacted by us. You may contact us at any time to opt-out.

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