Le marché de l'intelligence augmentée devrait passer de 8 948,4 millions de dollars américains en 2020 à 74 619,2 millions de dollars américains d'ici 2027 ; on estime qu'il augmentera à un TCAC de 35,4 % de 2020 à 2027.
L'adoption de l'intelligence augmentée pour l'intelligence numérique est attribuée à la croissance du marché. L'intelligence augmentée, un nouveau modèle de partenariat entre les machines et les humains, évolue et se concentre sur la valeur des humains et de l'automatisation intelligente fonctionnant ensemble. Les travailleurs numériques, sous la forme de robots logiciels RPA (robotic process automation), peuvent désormais se concentrer sur l'amélioration des efforts d'automatisation avec l'apprentissage automatique et l'IA pour travailler aux côtés des humains. En fait, la contribution des travailleurs numériques devrait augmenter d'environ 50 % au cours des deux prochaines années, démontrant une véritable transition vers un avenir développé sur la collaboration homme-machine. Il est également prévu que des investissements substantiels dans les technologies d'intelligence augmentée pour fournir de l'intelligence numérique explosent dans les prochains jours, alors que les chefs d'entreprise réalisent de plus en plus les avantages d'investir dans l'automatisation intelligente. Plusieurs organisations déploient des technologies liées à la numérisation, à l'automatisation et à l'optimisation des flux de travail documentaires pour réduire leurs dépenses. Deloitte a observé la montée en puissance de l'intelligence augmentée dans plusieurs entreprises et a indiqué qu'environ 37 % des entreprises ont déjà investi plus de 5 millions de dollars US dans la transformation numérique. La société prévoit que cet investissement devrait se poursuivre au cours des prochaines années.
Impact de la pandémie de COVID-19 sur le marché de l'intelligence augmentée
Dans la crise du COVID-19, l'infrastructure numérique joue un rôle important dans la visualisation et la modélisation des épidémies. Alors que l'épidémie continue de se propager à travers le monde, il est devenu impératif pour les entreprises de rechercher des solutions innovantes pour garder une longueur d'avance sur la concurrence. Les entreprises considèrent cette situation comme une opportunité lucrative. Ils se concentrent sur les besoins opérationnels quotidiens au détriment de l'investissement dans l'activité numérique et la résilience à long terme. De plus, la capacité accrue de l'entreprise à travailler collectivement à distance, la reconnaissance étendue de la valeur de la transformation numérique et de l'informatique parmi l'ensemble de la main-d'uvre, et la capacité de commercialiser des produits en ligne et de développer des activités ont eu un impact significatif sur le marché numérique dans le scénario actuel. . Par exemple, afin d'améliorer la chaîne de valeur des produits/services bancaires et de paiement numériques, les banques se concentrent sur l'adoption de technologies de pointe, telles que l'IA, l'apprentissage automatique, le cloud, l'interface homme-machine, l'Internet des objets et la blockchain. Ainsi, de nos jours, les entreprises se concentrent sur l'intégration rapide de l'infrastructure numérique dans leurs plates-formes d'automatisation afin d'acquérir un avantage concurrentiel significatif, ce qui, à son tour, crée des opportunités lucratives pour que le marché de l'intelligence augmentée se développe dans un proche avenir.
< h3>Régions lucratives sur le marché de l'intelligence augmentée
Market Insights-Augmented Intelligence Market
Développement de magasins de proximité entièrement automatisés
Plusieurs innovations de vente au détail démontrent l'avenir du secteur de la vente au détail à la fois sur les marchés hors ligne et numériques. Par exemple, un couloir à écran tactile développé par Inspiration Corridor utilise la reconnaissance d'images et les historiques d'achat pour suggérer des articles aux clients ainsi que pour localiser ces articles. De plus, SMARTCART, développé par Foodstuffs, utilise la technologie de vision par ordinateur pour reconnaître les produits au fur et à mesure qu'ils sont placés dans le panier. Les consommateurs peuvent alors payer automatiquement les produits en utilisant l'application mobile liée à leurs informations de paiement. De plus, une nouvelle startup, connue sous le nom de DeepMagic, utilise les innovations numériques pour améliorer l'expérience des magasins physiques. Grâce à l'intelligence artificielle d'apprentissage en profondeur, DeepMagic aide les détaillants à créer des magasins physiques sans surveillance entièrement automatisés. DeepMagic propose Qick Kiosk, une boutique éphémère entièrement automatisée et installée avec un logiciel de reconnaissance d'image qui permet à ces mini-boutiques sans surveillance de fonctionner en toute sécurité. Les détaillants de proximité aux États-Unis et en Europe se concentrent sur l'adoption de nouvelles technologies, y compris l'IA, pour améliorer leurs prévisions de la demande, transformer les chaînes d'approvisionnement, améliorer les assortiments et la planification de l'espace, et ravir les acheteurs avec une expérience en magasin supérieure. De plus, les experts du secteur soulignent que l'intelligence augmentée devrait avoir un impact commercial transformationnel dans les années à venir. Ainsi, avec de nouvelles technologies telles que la reconnaissance d'images, l'intelligence artificielle et l'intelligence augmentée, les acteurs du marché peuvent davantage se concentrer sur l'investissement dans le développement de magasins de proximité entièrement automatisés.
Basé sur la technologie Insights
Basé sur la technologie, le marché de l'intelligence augmentée est segmenté en apprentissage automatique, traitement du langage naturel, vision artificielle, informatique sensible au contexte, etc. Le segment de l'apprentissage automatique détenait la plus grande part de marché en 2019.
Perspectives stratégiques
Les acteurs opérant sur le marché de l'intelligence augmentée se concentrent principalement sur le développement de produits avancés et efficaces.
- En 2020, IBM a annoncé le lancement de Watson Advertising Social Targeting with Influential, une nouvelle solution qui exploite l'intelligence artificielle (IA) pour aider les marques à identifier les influenceurs qui correspondent le mieux aux valeurs de leur marque. La nouvelle solution de la suite de produits de ciblage Watson Advertising marque une collaboration élargie avec Influential.
- En 2020, les partenaires SAP sont hautement spécialisés dans la fourniture de solutions spécifiques à l'industrie sur le marché. Vistex est l'un de ces partenaires - le type de partenaire qui jouera un rôle clé dans les nouvelles solutions cloud de l'industrie de SAP et de ses partenaires.
Le marché de l'intelligence augmentée a été segmenté comme suit :
Marché de l'intelligence augmentée - par technologie
- Apprentissage automatique
- Traitement du langage naturel
- Calcul sensible au contexte
- Vision industrielle
- Autres
Marché de l'intelligence augmentée - par taille d'entreprise
- PME
- Grandes entreprises< /li>
Marché de l'intelligence augmentée - par utilisateur final
- Informatique et télécommunications
- Commerce de détail et commerce électronique
- BFSI
- Santé
- Autres
Marché de l'intelligence augmentée - par géographie
- Amérique du Nord
< li>États-Unis - Canada
- Mexique
- France
- Allemagne
- Italie
- Russie
- Royaume-Uni
- Reste de l'Europe
- Japon
- Chine
- Australie
- Inde
- Corée du Sud
- Reste de l'APAC
- Arabie saoudite
- EAU
- Sud Afrique
- Reste de la MEA
- Brésil
- Argentine
- Reste de SAM
Marché de l'intelligence augmentée - Profils d'entreprise
- IBM Corporation
- Microsoft Corporation
- SAP SE
- TIBCO Software Inc.
- Sisense Inc.
- Salesforce.com, Inc.
- MondoBrain Inc.
- Cosmo Tech
- CognitiveScale
< li>QlikTech International AB
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
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.
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.
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
- IBM Corporation
- Microsoft Corporation
- SAP SE
- TIBCO Software Inc.
- Sisense Inc.
- Salesforce.com, Inc.
- QlikTech International AB
- MondoBrain Inc.
- Cosmo Tech
- CognitiveScale
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- 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.
- 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:
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.
- 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.
- 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.
Related Reports
Aug 2020
Engineering Professional Services Market
Size and Forecast (2021 - 2031), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Type (Consulting, Non-Consulting), Service Type (Designing and Construction, ESG, Program Management, Others), Sector (Private, Public), Vertical (Advanced Manufacturing, Infrastructure, Energy and Utilities, Environmental, Transportation, Others), Advanced Manufacturing (Data Center, Life Sciences, Electronics, and Semiconductor, EV and EV Battery, Others), Infrastructure (Buildings and Cities, Health Infrastructure, Telecommunication Infrastructure, Others), Energy And Utilities (Renewables, Energy Storage, Transmission and Distribution), Transportation (Aviation, Highways and Bridges, Ports and Maritime, Rail and Transit), Water (Water, Wastewater), and Geography (Americas, Europe, Asia Pacific and Middle East and Africa)
Aug 2020
Virtual Reality Puzzle Games Market
Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Age (18 to 34 Years, Above 35 Years, 13 to 17 Years, and Upto 12 Years), Player Type (Single Player and Multi Player), and End Users (Individuals and Professionals)
Aug 2020
Inspection Software for Government Services Market
Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Software and Services), Services (Implementation and Deployment, Support and Maintenance, Training, and Consulting), Deployment (Cloud and On-premises), Application (Permitting and Licensing Management, Inspection and Scheduling Management, Contract Management, and Others), and End User (Local Government, State Government, and Federal Government)
Aug 2020
Spend Analytics for Electronics and Semiconductor Market
Size and Forecasts (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis By Component (Software and Service), Type (Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics), Deployment (On-premise and Cloud), and Application (Financial Management, Risk Management, Governance and Compliance Management, Supplier Sourcing and Performance Management, Demand and Supply Forecasting, and Others)
Aug 2020
Photonic Design Automation Market
Size and Forecasts (2020 - 2030), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Component (Solution and Service), Deployment (On-Premise and Cloud), Organization Size (SMEs and Large Enterprises), and Application (Academic Research and Industrial Research & Manufacturing)
Aug 2020
Voice-based Payments Market
Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Hardware and Software), By Enterprise Size (Large Enterprises and Small and Medium-Sized Enterprises), By Industry (BFSI, Automotive, Healthcare, Retail, Government, and Others), and by Geography
Aug 2020
Private 5G Network Market
Size and Forecasts (2020 - 2030), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Component (Hardware, Software, and Services); Frequency (Sub-6 GHz and mmWave), End User (Manufacturing, Energy and Utilities, Automotive, Military and Defense, Government and Public Safety, and Others)
Aug 2020
Unified Threat Management Market
Size and Forecasts (2020 - 2030), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Component (Solution and Services); Deployment (Cloud and On-Premise); Enterprise Size (Large Enterprises and SMEs); and End Users (BFSI, Manufacturing, Healthcare, Retail, Government, IT & Telecom, and Others)