The estimated value of the influencer marketing industry in India was 55 billion Indian rupees in 2024. This was a 20 percent increase over the previous year, and the market was expected to expand at a compound annual growth rate of 25 percent until 2026. The industry's market value was further estimated to amount to over 107 billion Indian rupees by 2027. Influencer impact In India, influencers have become a vital channel for businesses, forging authentic connections with audiences through relatable content. They play a crucial role in influencing consumer purchase decisions and product research. The influencer marketing industry has witnessed widespread adoption across sectors, with the personal care vertical leading with a 25 percent market share in 2022. Other key sectors like food, fashion, jewelry, and mobile/electronics have also embraced influencers to strengthen brand messages and connect with their target audiences. Modes of influence Short-form video platforms were the most preferred choice for content creation, given their raging popularity among users and creators alike. These platforms offer influencers a medium to share concise and impactful messages with their followers. Additionally, the practice of live-streaming was a widely followed trend, facilitating real-time interactions with audiences. This led major e-commerce players such as Amazon and Flipkart to release a live commerce feature on their platforms.

The global influencer marketing market size has more than tripled since 2020. In 2025, the market was estimated to reach a record of approximately 33 billion U.S. dollars. What is influencer marketing? Influencer marketing is a form of social media marketing that involves product placements and endorsements from online creators. In today’s competitive marketing landscape, brands are collaborating with influencers more firmly than ever, as partnerships with well-known creators can open the door to large potential audiences. In 2024, influencer marketing spending in the United States was forecast to reach an all-time high of 7.1 billion U.S. dollars. Seeing that internet stars can boost brand visibility, drive engagement, and impact purchasing decisions for millions of users, it comes as no surprise that spending on influencer cooperation is expected to pick up even more speed in the future. Top influencer marketing platforms Marketers can choose from an ever-expanding list of social media platforms to bridge the gap between brands and consumers. According to a recent survey, Instagram remains the most popular platform for influencer marketing in the United States, and in 2025, the global Instagram influencer market size was estimated to surpass 22 billion dollars for the first time. Apart from the photo-sharing app, video-based platforms such as TikTok have become popular among brands and marketers. In the first half of 2024, the most successful brands earned over half a billion U.S. dollars in earned media value (EMV) with their TikTok influencer marketing campaigns.

Influencer Market size was valued at USD 16.44 Billion in 2024 and is projected to reach USD 122.66 Billion by 2031, growing at a CAGR of 31.50% during the forecast period 2024-2031.

Global Influencer Market Drivers
The market drivers for the Influencer Market can be influenced by various factors. These may include:

The Ascent of Social Media Networks: There are a lot of prospects for influencer marketing because social media platforms like Facebook, Instagram, YouTube, TikTok, and others have become so popular. Brands may employ influencers to legitimately and successfully reach their target audience, as there are billions of active users worldwide.

Increasing Customer Belief in Influencers: Customers are depending more and more on the advice and support of reliable influencers. Compared to traditional advertising approaches, audiences are more receptive to authentic and relatable content provided by influencers, which results in increased engagement and conversion rates.

Capacity to Reach Specialized Markets: Dedicated followers that have similar hobbies, interests, and demographics are frequently attracted to influencers. In order to reach highly engaged and targeted audiences, brands can work with niche influencers. This collaboration enables more individualized and relevant marketing efforts.

Effective Content Creation and Storytelling: Storytelling and producing captivating content that draws in an audience are two of influencers’ strongest talents. Their capacity to create genuine stories about goods or services enables brands to emotionally connect with customers, increasing advocacy, brand awareness, and loyalty.

Influence on Decisions to Buy: Influencers have a big impact on what customers decide to buy. Brands can enhance sales and revenue by influencing consumer perceptions and encouraging them to try or buy products and services through recommendations, reviews, and endorsements from reliable influencers.

According to a global survey carried out in 2023, the main way that marketers and industry professionals attracted sales through their influencer campaigns was through e-mail addresses - with almost 30 percent of respondents' shares. Second came referral links - with 28.4 percent of marketers choosing it as a leading way to accumulate sales by deploying influencers.

Rachmad, Yoesoep Edhie. 2023. Influence-Driven Consumption Theory. Tangier Qasbah Kitab Tanbit, Tanbit Khas 2023. https://doi.org/10.17605/osf.io/n5cv2

The Influence-Driven Consumption Theory, developed by Yoesoep Edhie Rachmad and outlined in his 2023 publication "Tangier Qasbah Kitab Tanbit, Tanbit Khas," explores the dynamics of how social influence shapes consumer behavior, particularly in the context of modern digital environments. Rachmad's research, which he began in 2016, delves into the ways in which consumer choices are increasingly driven by social networks, influencers, and online communities. This theory emerges from the understanding that in the digital age, consumers are not isolated decision-makers. Instead, they are embedded in social networks that provide continuous streams of information and opinion that significantly shape their purchasing behaviors. Rachmad observed that this influence is not merely incidental but a fundamental component of how products and services are marketed and consumed in contemporary society. The Influence-Driven Consumption Theory posits that social influence operates through various mechanisms, including direct recommendations from friends and family, the persuasive power of influencers on platforms like Instagram and YouTube, and through more subtle cues like the popularity and ratings of products on e-commerce sites. These influences combine to form a powerful force that can drive consumer decisions more effectively than traditional advertising. Rachmad concludes that understanding the pathways and effects of social influence is crucial for businesses looking to effectively market their products. He suggests that marketers should focus on creating strategies that harness the power of social influence, such as developing strong relationships with key influencers, encouraging social sharing and reviews, and using social proof as a central component of marketing campaigns. He recommends that companies invest in analytics to better understand the social dynamics of their target markets and tailor their marketing efforts to leverage these insights. Additionally, Rachmad emphasizes the importance of authenticity and trustworthiness, noting that consumers are increasingly savvy about influence tactics and will reject efforts that seem disingenuous. Overall, the Influence-Driven Consumption Theory provides a sophisticated framework for understanding the increasingly complex web of influences that affect consumer purchases. It offers critical insights for marketers aiming to adapt to the realities of a marketplace where decisions are deeply interwoven with social context and where influence is a key currency.   Table of Contents Rachmad, Yoesoep Edhie. 2023. "Influence-Driven Consumption Theory." Tangier Qasbah Kitab Tanbit, Tanbit Khas. [DOI: https://doi.org/10.17605/osf.io/n5cv2]

Chapter 1: Introduction to Influence-Driven Consumption Understanding the Impact of Social Influence...............3 From Individual to Social Decision-Making................19 The Evolution of Digital Influence...............................35 Chapter 2: Foundations of the Theory Defining Social Influence in Modern Consumption........53 Key Concepts and Mechanisms..................................71 Historical Context and Evolution of Influence Tactics...89 Chapter 3: Mechanisms of Social Influence Direct Recommendations and Word-of-Mouth..............107 Influencer Marketing on Social Media Platforms.............123 Social Proof and the Role of Ratings and Reviews...........141 Chapter 4: The Digital Environment and Social Influence The Rise of Online Communities.................................159 How Social Media Shapes Consumer Perceptions...........175 E-commerce as a Platform for Influence........................193 Chapter 5: The Psychology Behind Influence-Driven Consumption Cognitive Biases in Social Decision-Making..................211 The Power of Trust and Authority................................227 Emotional Triggers in Online and Offline Influence...........243 Chapter 6: Influence Strategies for Marketers Building Strong Relationships with Key Influencers........261 Utilizing User-Generated Content for Authentic Marketing....279 Incorporating Social Proof in Advertising Campaigns.........297 Chapter 7: Analytics and Measuring Social Influence Tracking Consumer Interactions and Influencer Impact.....315 Leveraging Big Data for Insights on Social Dynamics.........333 Using Sentiment Analysis to Gauge Consumer Opinion.......349 Chapter 8: Challenges and Ethical Considerations Navigating Authenticity in the Age of Social Influence.......367 The Risks of Overusing Influencer Marketing...................385 Dealing with Fake Reviews and Manipulated Social Proof...403 Chapter 9: Case Studies in Influence-Driven Consumption Successful Campaigns Utilizing Social Influence..............421 Lessons from Failed Attempts at Harnessing Influence.......439 Industry-Specific Examples: Fashion, Technology, and Food...457 Chapter 10: The Future of Influence-Driven Consumption Emerging Trends in Social Influence and Consumer Behavior...475 The Evolving Role of AI in Predicting Consumer Trends......493 Integrating New Technologies for Enhanced Influence Marketing...511

Appendices Appendix A: Glossary of Key Terms and Concepts....................529 Appendix B: Methodologies for Measuring Social Influence........543 Appendix C: Tools and Software for Analyzing Social Networks....557 References Citations and Influential Works in the Field...........................571 Index Comprehensive Index of Topics Covered...................................589

AUTHOR PROFILE
In 2016, the author earned the title of Doctor of Humanity, hold a Ph.D. in Information Technology and a DBA in General Management. Since 2016, the author has been teaching at international universities in Malaysia, Singapore, Thailand, and the USA. In 1999, the author founded the Education Training Centre (ETC), an organization dedicated to providing educational services and social support for the underprivileged. This organization offers shelter homes for children in need of a safe place to live and drop-in schools for those who need to continue their education. The ETC is also involved in research aimed at advancing science, which led to the author earning the title of Professor and joining the WPF. Additionally, the author is actively involved in global social development programs through the United Nations. They are a member of the UN Global Compact (id-137635), the UN Global Market (id-709131), and the UN ECOSOC (id-677556). The author has served as a reviewer for several international journals and book chapters, and has written numerous books and articles on a wide range of topics including Philosophy, Economics, Management, Arts and Culture, Anthropology, Law, Psychology, Education, Sociology, Health, Technology, Tourism, and Communication.

The graph shows the share of consumers who think the entertainment industry has too much or too little influence in Washington, D.C. and politics in the United States as of February 2018. During the survey, 38 percent of respondents stated that they thought the entertainment industry had too much influence in Washington, D.C. and politics.

United States PPI: Svcs: SC: HS: GM: PS: Factors Influencing Health Status data was reported at 124.463 Dec2017=100 in Jan 2025. This records an increase from the previous number of 124.343 Dec2017=100 for Dec 2024. United States PPI: Svcs: SC: HS: GM: PS: Factors Influencing Health Status data is updated monthly, averaging 110.884 Dec2017=100 from Dec 2017 (Median) to Jan 2025, with 86 observations. The data reached an all-time high of 124.463 Dec2017=100 in Jan 2025 and a record low of 97.700 Dec2017=100 in Jan 2018. United States PPI: Svcs: SC: HS: GM: PS: Factors Influencing Health Status data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I100: Producer Price Index: by Industry: Services: Selected Health Care Industries.

The number of social media users in the United Kingdom was forecast to continuously increase between 2024 and 2029 by in total 4.7 million users (+8.92 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 57.35 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The global influencer marketing market is forecast to generate 15.2 billion U.S. dollars in 2022. The popularity of influencer marketing worldwide is growing at such a high speed that the global market size is expected to reach 22.2 billion U.S. dollars by 2025, more than double the amount recorded in 2020 (9.7 billion U.S. dollars).

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Databases of highly networked individuals have been indispensable in studying narratives and influence on social media. To support studies on Twitter in India, we present a systematically categorized database of accounts of influence on Twitter in India, identified and annotated through an iterative process of friends, networks, and self-described profile information, verified manually. We built an initial set of accounts based on the friend network of a seed set of accounts based on real-world renown in various fields, and then snowballed friends of friends\" multiple times, and rank ordered individuals based on the number of in-group connections, and overall followers. We then manually classified identified accounts under the categories of entertainment, sports, business, government, institutions, journalism, civil society accounts that have independent standing outside of social media, as well as a category ofdigital first" referring to accounts that derive their primary influence from online activity. Overall, we annotated 11580 unique accounts across all categories. The database is useful studying various questions related to the role of influencers in polarisation, misinformation, extreme speech, political discourse etc.

This table contains data on the number of jobs of employed persons, operating result, operating income and expenses based on production statistics from Statistics Netherlands. The company data is available in branches according to the Standard Industrial Classification (SBI) 2008 and in size classes of the number of employed persons. The table shows the percentage share of the sector per sector across the groups of employed persons. Data available for: 2008. When will new figures be available? This table has been discontinued. Due to changes in the observation and processing method, continuation of this publication in the usual manner is no longer possible. The aforementioned changes are so far-reaching that the results are not comparable with those of previous years, which is why a new table has been started from 2009.

The Information sector creates and distributes media content to US consumers and businesses. The Information sector responds to trends in household formation, which influences subscription volumes to communications services advertising expenditure, which generates nearly one-fourth of sector revenue, as well as consumer incomes and spending habits, which influence the extent to which households purchase discretionary entertainment products. The Information sector also sells some products and services directly to businesses and is influenced to a lesser extent by trends in corporate profit and business sentiment. The accelerated pace of digital transformation has fueled industry growth. As remote work and online learning became the norm, the demand for robust digital infrastructure and cloud services skyrocketed. This shift wasn't limited to cloud services alone, internet providers flourished spurred by the advent of 5G technology. Through the end of 2024, sector revenue will expand at a CAGR of 2.7% to reach $2.4 trillion, including a boost of 1.9% in 2024. Although consumer demand for media is generally steady and the Information sector has expanded consistently, revenue flows within the sector are uneven and determined by technology trends. Substantial expansion through the end of 2024 has stemmed from a proliferation of new consumer devices. However, most of the expansion has been concentrated on online publishing and data processing at the expense of more traditional information subsectors. For example, new digital channels have detracted from print advertising expenditure, which has dipped during the current period and curtailed print publishing. An expansion in mobile devices and the emergence of online streaming services have made consumers less reliant on more traditional communication services like wired voice, broadband internet and cable TV. Looking ahead, the information sector is poised for sustained growth over the next five years, fueled by rising consumer spending and private investment. As the economy recovers and interest rates stabilize, disposable incomes are poised to climb, allowing households to avail themselves of more digital subscriptions and services. The rollout of 5G will further augment mobile internet usage, potentially challenging wired broadband alternatives. Traditional media companies will continue to pivot to online platforms and streaming services, aiming to retain and expand their audience. Through the end of 2029, the Information sector revenue will strengthen at a CAGR of 2.2% to reach $2.7 trillion.

1 INTRODUCTION 1.1 Study Assumptions and Market Definition 1.2 Scope of the Study

   2 RESEARCH METHODOLOGY

   3 EXECUTIVE SUMMARY

   4 MARKET INSIGHTS
   4.1 Market Overview
   4.2 Industry Value Chain Analysis
   4.3 Porters Five Forces Analysis
   4.3.1 Bargaining Power of Suppliers
   4.3.2 Bargaining Power of Buyers/Consumers
   4.3.3 Threat of New Entrants
   4.3.4 Threat of Substitute Products
   4.3.5 Intensity of Competitive Rivalry
   4.4 Assessment of Impact of COVID-19 on Market

   5 MARKET DYNAMICS
   5.1 Market Driver
   5.1.1 Rise of Digital Channels
   5.1.2 Growing Need for Demand Generation and Personalized Marketing Strategy
   5.2 Market Restraint
   5.2.1 Lack of Key Personnel with Skills to Manage Content Marketing Activities

   6 MARKET SEGMENTATION
   6.1 By Component
   6.1.1 Software
   6.1.2 Service
   6.2 By Platform
   6.2.1 Blogging
   6.2.2 Videos
   6.2.3 Infographics
   6.2.4 Case Studies
   6.2.5 Others
   6.3 By End-user Industry
   6.3.1 Retail
   6.3.2 BFSI
   6.3.3 Media and Entertainment
   6.3.4 Telecom
   6.3.5 Other End-user Industries
   6.4 By Geography***
   6.4.1 North America
   6.4.2 Europe
   6.4.3 Asia 
   6.4.4 Australia and New Zealand
   6.4.5 Latin America
   6.4.6 Middle East and Africa

   7 COMPETITIVE LANDSCAPE
   7.1 Company Profiles
   7.1.1 Adobe Inc.
   7.1.2 Contently Inc.
   7.1.3 HubSpot Inc.
   7.1.4 Brafton Inc.
   7.1.5 Contentoo B.V.
   7.1.6 Hootsuite Inc.
   7.1.7 Seismic Software Inc.
   7.1.8 Upland Software, Inc.
   7.1.9 Influence and Co.
   7.1.10 Curata, Inc.

   8 INVESTMENT ANALYSIS

   9 FUTURE OUTLOOK OF THE MARKET

   Statistics for the 2024 Content ing market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Content ing analysis includes a market forecast outlook to for 2024 to 2029 and historical overview. Get
   a sample of this industry analysis as a free report PDF download.

   Content Marketing Also Known As: Inbound Marketing, Brand Journalism, Custom Publishing, Content Advertising

   Content Marketing Report Covers the Following Regions: NA, North America, North American, Northern America, Northern American, EU, Europe, European, LA, Latin America, Latin American, South America, South American, Central America, Central American, MEA, Middle East and Africa, Middle Eastern and African, MENA, Middle East, Middle Eastern, Africa, African

   Content Marketing Report Covers the Following Countries: NA, North America, North American, Northern America, Northern American, EU, Europe, European, Asia, Asian, Australia, Australian, New Zealand, New Zealander, ANZ, LA, Latin America, Latin American, MEA, Middle East and Africa, Middle Eastern and African, MENA, Middle East, Middle Eastern, Africa, African

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Replication code for paper, "The Proxy Advisory Industry: Influencing and Being Influenced"

Abstract

Introduction

The Annual Survey of Industries (ASI) is one of the large-scale sample survey conducted by Field Operation Division of National Sample Survey Office for more than three decades with the objective of collecting comprehensive information related to registered factories on annual basis. ASI is the primary source of data for facilitating systematic study of the structure of industries, analysis of various factors influencing industries in the country and creating a database for formulation of industrial policy.

The main objectives of the Annual Survey of Industries are briefly as follows:

(a) Estimation of the contribution of manufacturing industries as a whole and of each unit to national income.

(b) Systematic study of the structure of industry as a whole and of each type of industry and each unit.

(c) Casual analysis of the various factors influencing industry in the country: and

(d) Provision of comprehensive, factual and systematic basis for the formulation of policy.

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI is the principal source of industrial statistics in India and extends to the entire country except Arunachal Pradesh, Mizoram & Sikkim and the Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to census scheme is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1999-2000 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 1999-2000.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Validation checks are carried out on data files. Code list, State code list, Tabulation program and ASICC code are may be refered in the External Resources which are used for editing and data processing as well..

B. Tabulation procedure The tabulation procedure by CSO(ISW) includes both the ASI 1999-00 data and the extracted data from ASI 98-99 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A ,pos:54-62 (Please refer STRUC00.XLS) for ASI 99-00 data. The multiplier is calculated for each stratum (i.e. State X NIC'98(4 Digit)) after adjusting for non-response cases.

C. Merging of unit level data As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98(5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98(5 Digit) ending with '9' which do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

G. Record Identification Key Record identification key for each factory is Despatch Serial No. (DSL, pos: 4-8) X Block code (Blk, pos: 3). Please refer STRUC00.XLS for item level identification key for each unit.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Faxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

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Market Overview:

United States robotics market size is projected to exhibit a growth rate (CAGR) of 4.00% during 2024-2032. The escalating demand for advanced technologies that contribute to enhanced safety in perilous environments, heightened production efficiency, cost reduction, and product quality improvement is primarily driving the market growth across the country.

Report Attribute	Key Statistics
Base Year	2023
Forecast Years	2024-2032
Historical Years	2018-2023
Market Growth Rate (2024-2032)	4.00%

Robotics encompasses the exploration of robots and their conceptualization, evolution, construction, operation, and practical application. It involves the deployment of automated machines to execute tasks that are either too intricate or hazardous for human involvement. These robotic systems find utility across a spectrum of functions, including assembly, inspection, welding, painting, cutting, and packaging. The significance of robotics has grown significantly across various sectors, spanning manufacturing, healthcare, and defense. Moreover, it harbors the potential to transform operational methodologies in diverse industries, potentially diminishing reliance on human labor while boosting operational efficiency. The scope of robotics extends to creating interactive robots capable of engaging with humans and their surroundings, with applications extending to oceanic and space exploration, as well as harsh environments. Furthermore, robotics has facilitated the development of autonomous vehicles, including self-driving cars and drones, and has ventured into realms such as surgical procedures, search and rescue operations in disaster-stricken areas, and medical diagnostics.

United States Robotics Market Trends:

The United States robotics market is a dynamic and rapidly expanding sector at the forefront of technological innovation. Marked by a surge in demand across various industries, including manufacturing, healthcare, logistics, and defense, the market reflects a transformative influence on the nation's industrial landscape. Additionally, the deployment of robotics in manufacturing processes has revolutionized efficiency, precision, and output, leading to increased competitiveness on a wide scale. In healthcare, robotic systems are contributing to advancements in surgical procedures, rehabilitation, and patient care, which is positively influencing the market growth. The growth of the U.S. robotics market is also propelled by ongoing research and development, fostering the creation of cutting-edge technologies like artificial intelligence and machine learning, which further enhance the capabilities of robotic systems. With an emphasis on innovation, efficiency, and addressing societal challenges, the United States robotics market is expected to fuel over the forecasted period.

United States Robotics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on product type.

Product Type Insights:

https://www.imarcgroup.com/CKEditor/154ca7e3-44e8-47f5-b158-1da9337e5d82other-regions1.webp" style="height:450px; width:800px" />

• Industrial
  • Breakup by Type
    • Articulated
    • Cartesian
    • SCARA
    • Cylindrical
    • Others
• Service
  • Breakup by Type
    • Personal and Domestic
    • Professional
  • Breakup by Application
    • Household Applications
    • Entertainment Applications
    • Defense Applications
    • Field Applications
    • Logistics Applications
    • Healthcare Applications
    • Infrastructure Applications
    • Mobile Platform Applications
    • Cleaning Applications
    • Others
      

The report has provided a detailed breakup and analysis of the market based on the product type. This includes industrial [breakup by type (articulated, cartesian, SCARA, cylindrical, and others)] and service [breakup by type (personal and domestic and professional) and breakup by application (household applications, entertainment applications, defense applications, field applications, logistics applications, healthcare applications, infrastructure applications, mobile platform applications, cleaning applications, and others)].

Regional Insights:

https://www.imarcgroup.com/CKEditor/8d716ced-46f7-4a60-b09f-1b739adaed82other-regions8.webp" style="height:450px; width:800px" />

• Northeast
• Midwest
• South
• West
  

The report has also provided a comprehensive analysis of all the major regional markets, which include the Northeast, Midwest, South, and West.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

United States Robotics Market Report Coverage:

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Report Features	Details
Base Year of the Analysis	2023
Historical Period	2018-2023
Forecast Period	2024-2032
Units	Billion US$
Scope of the Report	Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment: Product Type Region
Product Types Covered	Industrial: Breakup by Type (Articulated, Cartesian, SCARA, Cylindrical, Others) Service: Breakup by Type (Personal and Domestic, Professional), Breakup by Application (Household Applications, Entertainment Applications, Defense Applications, Field Applications, Logistics Applications, Healthcare Applications, Infrastructure Applications, Mobile Platform Applications, Cleaning Applications, Others)
Regions Covered	Northeast, Midwest, South, West
Customization Scope	10% Free Customization
Report Price and Purchase Option	Single User License: US$ 3699 Five User License: US$ 4699 Corporate License: US$ 5699
Post-Sale Analyst Support

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