Federated Learning Market

Federated Learning Market by Application (Drug Discovery, Industrial IoT, Risk Management), Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Automotive and Transportation, Energy and Utilities) and Region - Global Forecast to 2028

Report Code: TC 7866 Apr, 2022, by marketsandmarkets.com

[172 Pages Report] As per AS-IS scenario, the global federated learning market size to grow from USD 127 million in 2023 to USD 210 million by 2028, at a CAGR of 10.6% during the forecast period. The major growing factor of federated learning market is, federated learning allows numerous players to develop a shared, strong deep training models while sharing information, permitting crucial concerns such as data protection, confidentiality, information privileged access, and accessibility to large datasets to be addressed.

Federated Learning Market

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Market Dynamics

Driver: Growing adoption of federated learning in various applications for data privacy

The way ML methods are taught is changing due to federated learning. Companies are concentrating their efforts on doing an in-depth study on federated learning. Organizations can strengthen current algorithms and enhance their AI applications by using federated learning. The demand for more learning among gadgets as well as organizations is rising. In the wellness sector, federated learning might aid healthcare workers in providing good quality outcomes and accelerating medication development. For instance, a new peer-to-peer approach called FADNet is a solution to address centralized learning deficits. This approach does not need a centralized system for learning; instead, every client learns its information, as well as the outcome is sent to another user via a cycle of aggregating. They can obtain true traffic and carparks situations using active learning and federated learning, which are not always straightforward to confirm via modelling. This method decreases labeling time and cost while also improving the whole CI/CD workflow and installation of the self-driving vehicle machine learning algorithms. This method needs greater computer capacity, unlike federated learning which is centralized or server-based. The system may be trained with dispersed car or network sensors readings by integrating federation and learning approach. Regulations include federated learning spanning departments within just the firm, often drives federated learning within a business or firm. Laws, such as federated learning among departments of a firm, often drive federated learning within a business or firm. In some circumstances, though, rules may compel organizations to give their information. For instance, Google has introduced its first production-level federated learning platform, which will produce several federated learning-based applications, such as on-device item ranking, next-word prediction, and content suggestion.

Restraint: Lack of skilled technical expertise

The lack of skilled workers, specifically IT professionals, is a significant impediment which many firms face when adopting ML into existing workflows. Challenging for staff to grasp and implement federated learning systems as it is a revolutionary idea. Owing to a dearth of competent personnel to build and implement federated learning tasks which entail complicated methods such as machine learning, recruiting, and keeping technological capabilities became a significant concern for some businesses. As an organization, they need to build increasingly skillset and job titles. For instance, Engineers that can manage and comprehend the modern federated learning infrastructure associated with installation and maintenance machine learning algorithm are needed by organisations. Data scientists are most highly trained scientific specialists, having extensive understanding of computer science, statistics, and conceptual understanding. Qualified data scientists, on the other hand, demanding hefty fees and require successful things, which are often out of reach for SMEs or even major corporations. To stay relevant in a marketplace with limited ability, there is a growing demand of federated learning modules throughout sectors. As a result, the existing shortage of trained individuals is a key barrier for the worldwide federated learning solutions industry.

Opportunity: Federated learning enables distributed participants to collaboratively learn a commonly shared model while holding data locally

Federated learning is a method of training ML algorithms on decentralized data. Rather than storing data from a single computer or data mart, information is kept at original sources such as smartphones, manufacturing detecting gear, as well as other end devices, and the ML machines are trained on-the-fly. This helps make decisions before sending back to a centralized computer. For instance, this financial sector makes good use of federated learning for debt risk analysis. Typically, banks utilize whitelisting procedures to exclude consumers based on card details from federal reserve. By partnering with the other financial organizations and eCommerce enterprises, risk assessment variables, such as taxation and reputation, may be used. Because sharing personal customer data across firms is dangerous, firms may utilize federated learning to create a risk evaluation ML model. In another instance, when an eCommerce start-up seeks to create a model to assess its clients' likelihood to purchase a thing, it uses the data from its website or application to run simulations. Spending time on a manufacturer's website, items bought simultaneously, goods viewed but not bought, as well as other customer information are examples of this type of information. Each client has around 50 and 1,000 data points covering a period. This data is analyzed and transferred to a centralized data center or devices for processing. Information is vulnerable to hackers because of such a data transit. ML procedures are distributed using the federated learning method. It allows businesses to acquire a common paradigm in a cooperative way by sharing as well as storing data from the device.

Challenge: System integration and interoperability issue

Customers with varying computation and network control create system diversity. The sustainability of federated algorithms is harmed by such variability in personal computer rates, which leads to a considerable reduction in theoretical execution. Federated learning is using distant computers and walled storage systems to build predictive methods yet maintaining information locally, including cell devices or institutions. Education in heterogeneous and possibly huge networks posed new issues that necessitated a radical shift away from traditional techniques to huge ML, dispersed optimization, and data processing while maintaining privacy. Because of differences in technology internet connection (3G, 4G, 5G, and Wi-Fi) and energy, every item in federation systems may have different storing, computing, and communication networks. With the million-device network, the internet backbone capacity and framework restraints on every unit. This diversity that exists in multiple hardware requirements and variable conditions across participating devices is a major challenge in federated learning. In theory, heterogeneity can have a significant impact on the federated learning training phase, such as rendering a unit inaccessible for learning or preventing it from uploading model updates.

As per optimistic scenario, among verticals, the automotive and transportation segment to grow at a the highest CAGR during the forecast period

The federated learning market is segmented on verticals into BFSI, healthcare and life sciences, retail and eCommerce, energy and utilities, and manufacturing, automotive and transportation, IT and telecommunication and other verticals (government, and media and entertainment). As per optimistic scenario, the automotive and transportation vertical is expected to grow at the highest CAGR during the forecast period. Autonomous vehicles have a complicated technology. Observation, forecasting, monitoring, localization, modelling, interfaces using public cloud, and data management are among the technology used in the system. With the introduction of automated vehicles, the focus was on data, edge-to-edge computer technology handling, and improved ML algorithm in addition to making automated vehicles reliable and secure for seamless integration through one area of the globe to another, even as analyzing information and personal confidentiality wirelessly. Effective learning chooses the most relevant pieces of data to classify and add to the instructional pool, which is expected to drive the growth of federated learning in the vertical.

As per optimistic scenario, among regions, Europe to hold the largest market size during the forecast period

As per optimistic scenario, Europe is estimated to account for the largest market size in the federated learning market during the forecast period. The federated learning market for healthcare is categorized into various applications, such as patient data and risk analysis, medical imaging and diagnostics, precision medicine, lifestyle management and monitoring, drug discovery, inpatient care and hospital management, virtual assistant, wearables, and research. The drug discovery process is tedious, which requires the researcher to analyze vast quantities of bioscience information, including patents, genomic data, and a large number of publications uploaded daily across all biomedical journals and databases. This makes it necessary to evolve the drug discovery process, and federated learning has the capability to influence and enhance this process. Hence, to offer better platform across the market vendors in the market are developing new products. In Europe, the challenges linked to aging populations and shortages of healthcare professionals are driving up the adoption of AI technologies in healthcare. This is, in turn, driving the federated learning market growth in Europe.

Key Market Players

The federated learning solutions vendors have implemented various types of organic as well as 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 federated learning solutions market include NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel(US), Owkin(US), Intellegens(UK), Edge Delta(US), Enveil(US), Lifebit(UK), DataFleets(US), Secure AI Labs(US), and Sherpa.AI(Spain).

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Scope of the Report

Report Metrics

Details

Market Size value in 2023

USD 127 million

Market Size value for 2028

USD 210 million

CAGR Growth Rate

10.6%

Largest Market

Europe

Market size available for years

2023–2028

Base year considered

2023

Forecast period

2023–2028

Segments covered

Application, Vertical, and Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel(US), Owkin(US), Intellegens(UK), Edge Delta(US), Enveil(US), Lifebit(UK), DataFleets(US), Secure AI Labs(US), Sherpa.AI(Spain), Decentralized Machine Learning(Singapore), Consilient(US), Apheris(Germany), Acuratio(US), FEDML(US).

This research report categorizes the Federated Learning Market based on application, vertical, and region.

Market By Application:
  • Drug Discovery
  • Shopping Experience Personalization
  • Data Privacy and Security Management
  • Risk Management
  • Industrial Internet of Things
  • Online Visual Object Detection
  • Augmented Reality/Virtual Reality
  • Other Applications
Market By Verticals:
  • Banking, Financial Services, and Insurance
  • Healthcare and Life Sciences
  • Retail and Ecommerce
  • Manufacturing
  • Energy and Utilities
  • Automotive and Transportaion
  • IT and Telecommunication
  • Other Verticals
Market By Region:
  • North America
  • Europe
  • APAC
  • MEA
  • Latin America

Federated Learning Market Recent Developments:

  • In March 2022, NVIDIA launched Communications Intelligence Platform, a Clara Holoscan, solution which was designed for its healthcare sciences business has been updated to MGX, as a one-of-a-kind end-to-end system for both AI technologies and intelligent healthcare manufacturing and deployment in implantable augmentations.
  • In January 2022, Intel launched OpenVINO integration with TensorFlow, the OpenVINO toolkit is used for online improvements and execution required for increased TensorFlow interoperability. It was created for programmers who want to try out the OpenVINO toolset and see how it might assist them boost the effectiveness of existing inferential apps with little code changes.
  • In November 2021, NVIDIA launched NVIDIA FLARE, NVIDIA FLARE stands for Federated Learning Application Runtime Environment is an open-source platform, which is based on the foundation of NVIDIA Clara Train's federated learning software, and was employed for biomedical imagery, functional genomics, cancer, and COVID-19 research. Investigators and data scientists could use this SDK to convert their current ML techniques processes to a decentralized network. NVIDIA FLARE supports a variety of networked topologies, spanning peer-to-peer, asynchronous, and server-client techniques, among others.
  • In June 2021, NVIDIA enhanced NVIDIA Clara, In NVIDIA Clara Train 4.0, a new tool named Homomorphic Encryption (HE) was added. It enables users to compute encrypted data. With Clair Train 4.0 the communication channel is established using SSL certificates and provisioning tool. For instance, NVIDIA used the TenSEAL module from OpenMined, a concise Python wrapper over Microsoft SEAL, to provide safe aggregating through federated learning by using HE.
  • In February 2021, Enveil introduced new version of ZeroReveal 3.0. It delivers the homomorphic encryption-powered capabilities through an efficient and decentralized framework designed to reduce risk and address business challenges, including data sharing, collaboration, monetization, and regulatory compliance. The solution enhancements delivered in 3.0 releases strengthen integration, performance, and user experience features for both Enveil’s ZeroReveal Search and ZeroReveal Machine Learning product lines.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 36)
    1.1 OBJECTIVES OF STUDY 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATE, 2018–2021
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 41)
    2.1 RESEARCH DATA 
           FIGURE 1 LBS AND RTLS MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakdown of primary interviews
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           2.3.1 TOP-DOWN APPROACH
                    FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (DEMAND SIDE): SHARE OF LBS AND RTLS MARKET THROUGH HARDWARE, APPLICATIONS, AND SERVICES
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF LBS AND RTLS MARKET
                    FIGURE 4 LBS AND RTLS MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH, SUPPLY-SIDE ANALYSIS (2/2)
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
           TABLE 3 RESEARCH ASSUMPTIONS
    2.6 LIMITATIONS AND RISK ASSESSMENT 
    2.7 RECESSION IMPACT 
           FIGURE 5 LBS AND RTLS MARKET: RECESSION IMPACT
 
3 EXECUTIVE SUMMARY (Page No. - 52)
    FIGURE 6 LBS AND RTLS MARKET, 2019–2027 (USD MILLION) 
    FIGURE 7 SEGMENTS WITH HIGHEST CAGR IN LBS AND RTLS MARKET DURING FORECAST PERIOD 
    FIGURE 8 LBS AND RTLS MARKET: REGIONAL SCENARIO 
 
4 PREMIUM INSIGHTS (Page No. - 56)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN LBS AND RTLS MARKET 
           FIGURE 9 PROLIFERATION OF SMARTPHONES AND LOCATION-BASED APPS TO DRIVE MARKET GROWTH
    4.2 LBS AND RTLS MARKET, BY LOCATION TYPE, 2022 
           FIGURE 10 OUTDOOR SEGMENT TO ACCOUNT FOR LARGER SHARE IN 2022
    4.3 LBS AND RTLS MARKET, BY APPLICATION, 2022 VS. 2027 
           FIGURE 11 TRACKING & NAVIGATION SEGMENT TO ACCOUNT FOR LARGEST SHARE BY 2027
    4.4 LBS AND RTLS MARKET, BY VERTICAL, 2022 VS. 2027 
           FIGURE 12 TRANSPORTATION & LOGISTICS SEGMENT TO ACCOUNT FOR LARGEST SHARE BY 2027
    4.5 LBS AND RTLS MARKET: MARKET INVESTMENT SCENARIO (2022–2027) 
           FIGURE 13 ASIA PACIFIC CONSIDERED AS KEY MARKET FOR INVESTMENTS
 
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 59)
    5.1 MARKET OVERVIEW 
    5.2 MARKET DYNAMICS 
           FIGURE 14 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Increasing demand for UWB-based real-time location systems
                    5.2.1.2 Rising need for geo-marketing
                    5.2.1.3 Increasing competitiveness
                    5.2.1.4 Growing demand for location-based and real-time systems and services in various industries
           5.2.2 RESTRAINTS
                    5.2.2.1 High installation and maintenance costs
                    5.2.2.2 Data security concerns
                    5.2.2.3 Negative feedback from end users
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growing use of BLE and UWB for indoor proximity services
                    5.2.3.2 Rising focus on IoT in healthcare
                    5.2.3.3 Growing use of 5G for location-based services
                    5.2.3.4 Rising demand for real-time location systems in emerging regions
           5.2.4 CHALLENGES
                    5.2.4.1 System irreconcilability and lack of standardization
                    5.2.4.2 RTLS supply chain hindrances
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 15 VALUE CHAIN ANALYSIS
    5.4 ECOSYSTEM ANALYSIS 
           TABLE 4 ECOSYSTEM ANALYSIS
    5.5 TECHNOLOGY ANALYSIS 
           5.5.1 SATELLITE, MICROWAVE, AND INFRARED REMOTE SENSING
           5.5.2 OTDOA AND E-OTD
           5.5.3 RFID AND NFC
           5.5.4 CONTEXT-AWARE TECHNOLOGIES
           5.5.5 WI-FI/WLAN, UWB, BT/BLE, BEACONS, AND A-GPS
           5.5.6 OTHER TECHNOLOGIES
    5.6 PATENT ANALYSIS 
           TABLE 5 US: TOP TWENTY PATENTS OWNERS IN LAST 10 YEARS
           FIGURE 16 NUMBER OF PATENTS GRANTED, 2012–2021
           FIGURE 17 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS
    5.7 PRICING ANALYSIS 
           TABLE 6 AVERAGE SELLING PRICE TREND FOR KEY PLAYERS, BY SEGMENT NAME
           TABLE 7 AVERAGE SELLING PRICE TREND FOR KEY PLAYERS, BY PRODUCT
    5.8 KEY CONFERENCES & EVENTS, 2022–2023 
           TABLE 8 LIST OF CONFERENCES & EVENTS, 2022–2023
    5.9 REGULATORY LANDSCAPE 
           5.9.1 OPEN GEOSPATIAL CONSORTIUM
           5.9.2 GENERAL DATA PROTECTION REGULATION
           5.9.3 INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS
           5.9.4 ACT OF PROTECTION OF PERSONAL INFORMATION
           5.9.5 DESIGNING ACCOUNTING SAFEGUARDS TO HELP BROADEN OVERSIGHT AND REGULATIONS ON DATA
    5.10 PORTER’S FIVE FORCES MODEL 
           TABLE 9 PORTER’S FIVE FORCES MODEL
           FIGURE 18 PORTER’S FIVE FORCES MODEL
           5.10.1 THREAT FROM NEW ENTRANTS
           5.10.2 THREAT FROM SUBSTITUTES
           5.10.3 BARGAINING POWER OF BUYERS
           5.10.4 BARGAINING POWER OF SUPPLIERS
           5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    5.11 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
                    TABLE 10 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
           5.11.2 BUYING CRITERIA
                    FIGURE 20 KEY BUYING CRITERIA FOR TOP THREE END USERS
                    TABLE 11 KEY BUYING CRITERIA FOR TOP THREE END USERS
    5.12 CASE STUDY ANALYSIS 
           5.12.1 USE CASE 1: KESKO INCREASED ITS AVERAGE SALES USING NAVIGINE’S INDOOR NAVIGATION SYSTEM
           5.12.2 USE CASE 2: UBER USED TOMTOM’S TRAFFIC DATA AND MAP APIS TO FACILITATE SMOOTH JOURNEYS
           5.12.3 USE CASE 3: BING MAPS HELPED SOLIDARITY ACHIEVE SOUND, REAL-TIME REPORTING
           5.12.4 USE CASE 4: GOOGLE MAPS PLATFORM HELPED IBIBO GROUP OFFER USEFUL TRAVELER SERVICES
           5.12.5 USE CASE 5: BOUMAN MENTAL HEALTHCARE ADOPTED AIRISTA FLOW RTLS TO DEVELOP MOBILE EMERGENCY ALERTING SYSTEM
 
6 LBS AND RTLS MARKET, BY COMPONENT (Page No. - 82)
    6.1 INTRODUCTION 
           FIGURE 21 SERVICES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           6.1.1 COMPONENTS: LBS AND RTLS MARKET DRIVERS
                    TABLE 12 LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                    TABLE 13 LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
    6.2 PLATFORMS 
           6.2.1 GROWING NEED TO ENHANCE FEATURES OF LOCATION-BASED AND REAL-TIME LOCATION PLATFORMS
                    TABLE 14 PLATFORMS: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 15 PLATFORMS: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.3 SERVICES 
           6.3.1 GROWING DEMAND FOR MODERN INFORMATION SERVICES
                    TABLE 16 SERVICES: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 17 SERVICES: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
                    TABLE 18 LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                    TABLE 19 LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
           6.3.2 DEPLOYMENT AND INTEGRATION
                    TABLE 20 DEPLOYMENT AND INTEGRATION: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 21 DEPLOYMENT AND INTEGRATION: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.3 APPLICATION SUPPORT AND MAINTENANCE
                               TABLE 22 APPLICATION SUPPORT AND MAINTENANCE: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                               TABLE 23 APPLICATION SUPPORT AND MAINTENANCE: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.3.4 CONSULTING AND TRAINING
                    TABLE 24 CONSULTING AND TRAINING: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 25 CONSULTING AND TRAINING: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.4 HARDWARE 
           6.4.1 RISING USE OF EMBEDDED SENSORS AND LONG-LASTING INTERNAL BATTERIES
                    TABLE 26 HARDWARE: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 27 HARDWARE: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
7 LBS AND RTLS MARKET, BY LOCATION TYPE (Page No. - 91)
    7.1 INTRODUCTION 
           FIGURE 22 INDOOR SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
           7.1.1 LOCATION TYPES: LBS AND RTLS MARKET DRIVERS
                    TABLE 28 LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                    TABLE 29 LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
    7.2 OUTDOOR 
           7.2.1 RISING DEMAND FOR OUTDOOR POSITIONING SYSTEMS IN COMPANIES
                    TABLE 30 OUTDOOR: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 31 OUTDOOR: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.3 INDOOR 
           7.3.1 INCREASING NEED TO TRACK INVENTORY ACCURATELY
                    TABLE 32 INDOOR: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 33 INDOOR: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
8 LBS AND RTLS MARKET, BY APPLICATION (Page No. - 96)
    8.1 INTRODUCTION 
    FIGURE 23 LOCATION-BASED HEALTH MONITORING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 
           8.1.1 APPLICATIONS: LBS AND RTLS MARKET DRIVERS
                    TABLE 34 LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                    TABLE 35 LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
    8.2 TRACKING AND NAVIGATION 
           8.2.1 WAYFINDING APPS AID INDOOR NAVIGATION
                    TABLE 36 TRACKING AND NAVIGATION: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 37 TRACKING AND NAVIGATION: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.3 MARKETING AND ADVERTISING 
           8.3.1 GEOLOCATION DATA HELPS IDENTIFY STORE PREFERENCES OF CUSTOMERS
                    TABLE 38 MARKETING AND ADVERTISING: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 39 MARKETING AND ADVERTISING: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.4 LOCATION-BASED SOCIAL NETWORKS 
           8.4.1 GROWING POPULARITY OF SOCIAL NETWORKING APPS
                    TABLE 40 LOCATION-BASED SOCIAL NETWORKS: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 41 LOCATION-BASED SOCIAL NETWORKS: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.5 LOCATION-BASED HEALTH MONITORING 
           8.5.1 RISING DEMAND FOR MONITORING AND ALERT SYSTEMS DURING PANDEMIC
                    TABLE 42 LOCATION-BASED HEALTH MONITORING: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 43 LOCATION-BASED HEALTH MONITORING: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.6 OTHER APPLICATIONS 
           TABLE 44 OTHER APPLICATIONS: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
           TABLE 45 OTHER APPLICATIONS: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
9 LBS AND RTLS MARKET, BY VERTICAL (Page No. - 104)
    9.1 INTRODUCTION 
           FIGURE 24 HEALTHCARE VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           9.1.1 VERTICALS: LBS AND RTLS MARKET DRIVERS
                    TABLE 46 LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                    TABLE 47 LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
    9.2 TRANSPORTATION & LOGISTICS 
           9.2.1 INCREASING DEMAND FOR FIELD ASSET MONITORING AND ALERT APPLICATIONS
                    TABLE 48 TRANSPORTATION & LOGISTICS: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 49 TRANSPORTATION & LOGISTICS: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.3 RETAIL 
           9.3.1 LOCATION-BASED INTELLIGENCE SYSTEMS HELP RETAIL CONSUMERS LOCATE NEARBY STORES
                    TABLE 50 RETAIL: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 51 RETAIL: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.4 GOVERNMENT 
           9.4.1 LOCATION-BASED AND REAL-TIME LOCATION SERVICES HELP GOVERNMENT GATHER INFORMATION
                    TABLE 52 GOVERNMENT: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 53 GOVERNMENT: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.5 MANUFACTURING 
           9.5.1 RISING NEED TO TRACK AND LOCATE EQUIPMENT AND COMPONENTS
                    TABLE 54 MANUFACTURING: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 55 MANUFACTURING: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.6 TOURISM & HOSPITALITY 
           9.6.1 INCREASING USE OF LOCATION-BASED AND REAL-TIME LOCATION SYSTEMS TO MANAGE TOURISM
                    TABLE 56 TOURISM & HOSPITALITY: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 57 TOURISM & HOSPITALITY: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.7 HEALTHCARE 
           9.7.1 INCREASING ADOPTION OF LOCATION-BASED AND REAL-TIME LOCATION SOLUTIONS TO DRIVE MARKET GROWTH IN HEALTHCARE
                    TABLE 58 HEALTHCARE: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 59 HEALTHCARE: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.8 MEDIA & ENTERTAINMENT 
           9.8.1 RISING NEED TO MANAGE DISTRIBUTION NETWORKS
                    TABLE 60 MEDIA & ENTERTAINMENT: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 61 MEDIA & ENTERTAINMENT: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.9 OTHER VERTICALS 
           TABLE 62 OTHER VERTICALS: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
           TABLE 63 OTHER VERTICALS: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
10 LBS AND RTLS MARKET, BY REGION (Page No. - 116)
     10.1 INTRODUCTION 
               FIGURE 25 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD
               FIGURE 26 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 64 LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
               TABLE 65 LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: PESTLE ANALYSIS
             10.2.2 NORTH AMERICA: LBS AND RTLS MARKET DRIVERS
             10.2.3 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 27 NORTH AMERICA: LBS AND RTLS MARKET SNAPSHOT
                       TABLE 66 NORTH AMERICA: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                       TABLE 67 NORTH AMERICA: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 68 NORTH AMERICA: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                       TABLE 69 NORTH AMERICA: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 70 NORTH AMERICA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                       TABLE 71 NORTH AMERICA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                       TABLE 72 NORTH AMERICA: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                       TABLE 73 NORTH AMERICA: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 74 NORTH AMERICA: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                       TABLE 75 NORTH AMERICA: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 76 NORTH AMERICA: LBS AND RTLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
                       TABLE 77 NORTH AMERICA: LBS AND RTLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             10.2.4 US
                       10.2.4.1 Easy availability of indoor and outdoor location technologies
                                   TABLE 78 US: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 79 US: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 80 US: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 81 US: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 82 US: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 83 US: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 84 US: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 85 US: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 86 US: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 87 US: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             10.2.5 CANADA
                       10.2.5.1 Rising infrastructural developments and investments
                                   TABLE 88 CANADA: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 89 CANADA: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 90 CANADA: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 91 CANADA: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 92 CANADA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 93 CANADA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 94 CANADA: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 95 CANADA: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 96 CANADA: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 97 CANADA: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
     10.3 EUROPE 
             10.3.1 EUROPE: PESTLE ANALYSIS
             10.3.2 EUROPE: LBS AND RTLS MARKET DRIVERS
             10.3.3 EUROPE: RECESSION IMPACT
                       TABLE 98 EUROPE: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                       TABLE 99 EUROPE: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 100 EUROPE: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                       TABLE 101 EUROPE: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 102 EUROPE: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                       TABLE 103 EUROPE: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                       TABLE 104 EUROPE: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                       TABLE 105 EUROPE: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 106 EUROPE: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                       TABLE 107 EUROPE: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 108 EUROPE: LBS AND RTLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
                       TABLE 109 EUROPE: LBS AND RTLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             10.3.4 UK
                       10.3.4.1 Increasing adoption of strategic partnerships
                                   TABLE 110 UK: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 111 UK: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 112 UK: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 113 UK: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 114 UK: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 115 UK: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 116 UK: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 117 UK: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 118 UK: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 119 UK: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             10.3.5 GERMANY
                       10.3.5.1 Growing demand for smart infrastructure systems
                                   TABLE 120 GERMANY: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 121 GERMANY: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 122 GERMANY: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 123 GERMANY: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 124 GERMANY: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 125 GERMANY: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 126 GERMANY: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 127 GERMANY: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 128 GERMANY: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 129 GERMANY: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             10.3.6 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: PESTLE ANALYSIS
             10.4.2 ASIA PACIFIC: LBS AND RTLS MARKET DRIVERS
             10.4.3 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 28 ASIA PACIFIC: LBS AND RTLS MARKET SNAPSHOT
                       TABLE 130 ASIA PACIFIC: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                       TABLE 131 ASIA PACIFIC: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 132 ASIA PACIFIC: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                       TABLE 133 ASIA PACIFIC: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 134 ASIA PACIFIC: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                       TABLE 135 ASIA PACIFIC: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                       TABLE 136 ASIA PACIFIC: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                       TABLE 137 ASIA PACIFIC: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 138 ASIA PACIFIC: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                       TABLE 139 ASIA PACIFIC: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 140 ASIA PACIFIC: LBS AND RTLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
                       TABLE 141 ASIA PACIFIC: LBS AND RTLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             10.4.4 CHINA
                       10.4.4.1 Growing demand for location-based services in various industries
                                   TABLE 142 CHINA: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 143 CHINA: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 144 CHINA: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 145 CHINA: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 146 CHINA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 147 CHINA: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 148 CHINA: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 149 CHINA: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 150 CHINA: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 151 CHINA: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             10.4.5 JAPAN
                       10.4.5.1 Rising adoption of GPS-enabled solutions
                                   TABLE 152 JAPAN: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 153 JAPAN: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 154 JAPAN: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 155 JAPAN: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 156 JAPAN: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                                   TABLE 157 JAPAN: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                                   TABLE 158 JAPAN: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 159 JAPAN: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 160 JAPAN: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 161 JAPAN: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             10.4.6 REST OF ASIA PACIFIC
     10.5 REST OF THE WORLD 
             10.5.1 REST OF THE WORLD: LBS AND RTLS MARKET DRIVERS
             10.5.2 REST OF THE WORLD: RECESSION IMPACT
                       TABLE 162 ROW: LBS AND RTLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                       TABLE 163 ROW: LBS AND RTLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 164 ROW: LBS AND RTLS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                       TABLE 165 ROW: LBS AND RTLS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 166 ROW: LBS AND RTLS MARKET, BY LOCATION TYPE, 2016–2021 (USD MILLION)
                       TABLE 167 ROW: LBS AND RTLS MARKET, BY LOCATION TYPE, 2022–2027 (USD MILLION)
                       TABLE 168 ROW: LBS AND RTLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                       TABLE 169 ROW: LBS AND RTLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 170 ROW: LBS AND RTLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                       TABLE 171 ROW: LBS AND RTLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 172 ROW: LBS AND RTLS MARKET, BY REGION, 2016–2021 (USD MILLION)
                       TABLE 173 ROW: LBS AND RTLS MARKET, BY REGION, 2022–2027 (USD MILLION)
             10.5.3 MIDDLE EAST
                       10.5.3.1 Increasing use of technology in public and private initiatives
             10.5.4 AFRICA
                       10.5.4.1 Growth in adoption of smartphones
             10.5.5 LATIN AMERICA
                       10.5.5.1 Expanding mobile subscriber base
 
11 COMPETITIVE LANDSCAPE (Page No. - 162)
     11.1 OVERVIEW 
     11.2 STRATEGIES OF KEY PLAYERS 
     11.3 REVENUE ANALYSIS 
               FIGURE 29 HISTORICAL REVENUE ANALYSIS, 2017–2021
     11.4 MARKET RANKING OF KEY PLAYERS, 2022 
               FIGURE 30 MARKET RANKING OF KEY PLAYERS
     11.5 MARKET SHARE ANALYSIS OF TOP PLAYERS 
               TABLE 174 LBS AND RTLS MARKET: DEGREE OF COMPETITION
               FIGURE 31 MARKET SHARE ANALYSIS, 2022
     11.6 MARKET EVALUATION FRAMEWORK 
               FIGURE 32 MARKET EVALUATION FRAMEWORK, 2019–2022
     11.7 EVALUATION QUADRANT FOR KEY PLAYERS, 2022 
               TABLE 175 PRODUCT FOOTPRINT WEIGHTAGE
             11.7.1 STARS
             11.7.2 EMERGING LEADERS
             11.7.3 PERVASIVE PLAYERS
             11.7.4 PARTICIPANTS
                       FIGURE 33 COMPANY EVALUATION MATRIX FOR KEY PLAYERS, 2022
     11.8 FOOTPRINT ANALYSIS 
               TABLE 176 COMPANY PRODUCT FOOTPRINT
             11.8.1 VERTICAL FOOTPRINT
                       TABLE 177 COMPANY VERTICAL FOOTPRINT
             11.8.2 PRODUCT OFFERING FOOTPRINT
                       TABLE 178 COMPANY PRODUCT OFFERING FOOTPRINT
             11.8.3 REGIONAL FOOTPRINT
                       TABLE 179 COMPANY REGIONAL FOOTPRINT
     11.9 COMPETITIVE BENCHMARKING FOR STARTUPS/SMES 
               TABLE 180 DETAILED LIST OF KEY STARTUPS/SMES
     11.10 EVALUATION MATRIX FOR STARTUPS/SMES, 2022 
               TABLE 181 EVALUATION MATRIX FOR STARTUPS/SMES: CRITERIA WEIGHTAGE
               11.10.1 PROGRESSIVE COMPANIES
               11.10.2 RESPONSIVE COMPANIES
               11.10.3 DYNAMIC COMPANIES
               11.10.4 STARTING BLOCKS
                                   FIGURE 34 EVALUATION MATRIX FOR STARTUPS/SMES, 2022
     11.11 COMPETITIVE SCENARIO AND TRENDS 
               11.11.1 PRODUCT LAUNCHES
                                   TABLE 182 LBS AND RTLS MARKET: PRODUCT LAUNCHES, 2019–2022
               11.11.2 DEALS
                                   TABLE 183 LBS AND RTLS MARKET: DEALS, 2019–2022
 
12 COMPANY PROFILES (Page No. - 179)
     12.1 KEY PLAYERS 
(Business Overview, Products Offered, Recent Developments, and MnM View)*
             12.1.1 CISCO
                       TABLE 184 CISCO: BUSINESS OVERVIEW
                       FIGURE 35 CISCO: COMPANY SNAPSHOT
                       TABLE 185 CISCO: SOLUTIONS OFFERED
                       TABLE 186 CISCO: PRODUCTS LAUNCHES
             12.1.2 GOOGLE
                       TABLE 187 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 36 GOOGLE: COMPANY SNAPSHOT
                       TABLE 188 GOOGLE: SOLUTIONS OFFERED
                       TABLE 189 GOOGLE: PRODUCTS LAUNCHES
             12.1.3 IBM
                       TABLE 190 IBM: BUSINESS OVERVIEW
                       FIGURE 37 IBM: COMPANY SNAPSHOT
                       TABLE 191 IBM: SOLUTIONS OFFERED
                       TABLE 192 IBM: DEALS
             12.1.4 MICROSOFT
                       TABLE 193 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 38 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 194 MICROSOFT: SOLUTIONS OFFERED
                       TABLE 195 MICROSOFT: DEALS
             12.1.5 ORACLE
                       TABLE 196 ORACLE: BUSINESS OVERVIEW
                       FIGURE 39 ORACLE: COMPANY SNAPSHOT
                       TABLE 197 ORACLE: SOLUTIONS OFFERED
                       TABLE 198 ORACLE: DEALS
             12.1.6 ERICSSON
                       TABLE 199 ERICSSON: BUSINESS OVERVIEW
                       FIGURE 40 ERICSSON: COMPANY SNAPSHOT
                       TABLE 200 ERICSSON: SOLUTIONS OFFERED
                       TABLE 201 ERICSSON: OTHERS
             12.1.7 QUALCOMM
                       TABLE 202 QUALCOMM: BUSINESS OVERVIEW
                       FIGURE 41 QUALCOMM: COMPANY SNAPSHOT
                       TABLE 203 QUALCOMM: SOLUTIONS OFFERED
                       TABLE 204 QUALCOMM: DEALS
             12.1.8 TOMTOM
                       TABLE 205 TOMTOM: BUSINESS OVERVIEW
                       FIGURE 42 TOMTOM: COMPANY SNAPSHOT
                       TABLE 206 TOMTOM: SOLUTIONS OFFERED
                       TABLE 207 TOMTOM: PRODUCT LAUNCHES
                       TABLE 208 TOMTOM: DEALS
             12.1.9 ESRI
                       TABLE 209 ESRI: BUSINESS OVERVIEW
                       TABLE 210 ESRI: SOLUTIONS OFFERED
                       TABLE 211 ESRI: PRODUCT LAUNCHES
                       TABLE 212 ESRI: DEALS
             12.1.10 ZEBRA TECHNOLOGIES
                       TABLE 213 ZEBRA TECHNOLOGIES: BUSINESS OVERVIEW
                       FIGURE 43 ZEBRA TECHNOLOGIES: COMPANY SNAPSHOT
                       TABLE 214 ZEBRA TECHNOLOGIES: SOLUTIONS OFFERED
* Business Overview, Products Offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
     12.2 OTHER PLAYERS 
             12.2.1 TELDIO
             12.2.2 HERE
             12.2.3 UBISENSE
             12.2.4 APPLE
             12.2.5 STANLEY HEALTHCARE
             12.2.6 GE HEALTHCARE
             12.2.7 CENTRAK
             12.2.8 SPIME (TRIMBLE)
             12.2.9 IDENTEC GROUP
             12.2.10 INFOR
             12.2.11 TELETRACKING TECHNOLOGIES
             12.2.12 MYSPHERA
             12.2.13 ARUBA NETWORKS
             12.2.14 KDDI
             12.2.15 NTT DOCOMO
             12.2.16 AIRISTA FLOW
             12.2.17 LEANTEGRA
             12.2.18 SEWIO NETWORKS
             12.2.19 QUUPPA
             12.2.20 NAVIGINE
 
13 ADJACENT MARKETS (Page No. - 216)
     13.1 INTRODUCTION TO ADJACENT MARKETS 
               TABLE 215 ADJACENT MARKETS AND FORECASTS
     13.2 LIMITATIONS 
     13.3 REAL-TIME LOCATION SYSTEMS (RTLS) MARKET 
               TABLE 216 RTLS MARKET FOR HARDWARE, BY TECHNOLOGY, 2017–2019 (USD MILLION)
               TABLE 217 RTLS MARKET FOR HARDWARE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
               TABLE 218 RTLS MARKET FOR HARDWARE, BY TYPE, 2017–2019 (USD MILLION)
               TABLE 219 RTLS MARKET FOR HARDWARE, BY TYPE, 2020–2025 (USD MILLION)
               TABLE 220 RTLS MARKET FOR TAGS/BADGES, BY TECHNOLOGY, 2017–2019 (MILLION UNITS)
               TABLE 221 RTLS MARKET FOR TAGS/BADGES, BY TECHNOLOGY, 2020–2025 (MILLION UNITS)
               TABLE 222 RTLS MARKET FOR SOFTWARE, BY TECHNOLOGY, 2017–2019 (USD MILLION)
               TABLE 223 RTLS MARKET FOR SOFTWARE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
               TABLE 224 RTLS MARKET FOR SERVICES, BY TECHNOLOGY, 2017–2019 (USD MILLION)
               TABLE 225 RTLS MARKET FOR SERVICES, BY TECHNOLOGY, 2020–2025 (USD MILLION)
               TABLE 226 RTLS MARKET FOR SERVICES, BY TYPE, 2017–2019 (USD MILLION)
               TABLE 227 RTLS MARKET FOR SERVICES, BY TYPE, 2020–2025 (USD MILLION)
               TABLE 228 RTLS MARKET, BY TECHNOLOGY, 2017–2019 (USD MILLION)
               TABLE 229 RTLS MARKET, BY TECHNOLOGY, 2020–2025 (USD MILLION)
               TABLE 230 RTLS MARKET FOR RFID TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 231 RTLS MARKET FOR RFID TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 232 RTLS MARKET FOR RFID TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 233 RTLS MARKET FOR RFID TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 234 RTLS MARKET FOR RFID TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 235 RTLS MARKET FOR RFID TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 236 RTLS MARKET FOR WI-FI TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 237 RTLS MARKET FOR WI-FI TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 238 RTLS MARKET FOR WI-FI TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 239 RTLS MARKET FOR WI-FI TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 240 RTLS MARKET FOR WI-FI TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 241 RTLS MARKET FOR WI-FI TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 242 RTLS MARKET FOR UWB TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 243 RTLS MARKET FOR UWB TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 244 RTLS MARKET FOR UWB TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 245 RTLS MARKET FOR UWB TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 246 RTLS MARKET FOR UWB TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 247 RTLS MARKET FOR UWB TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 248 RTLS MARKET FOR BLE TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 249 RTLS MARKET FOR BLE TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 250 RTLS MARKET FOR BLE TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 251 RTLS MARKET FOR BLE TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 252 RTLS MARKET FOR BLE TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 253 RTLS MARKET FOR BLE TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 254 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 255 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 256 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 257 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 258 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 259 RTLS MARKET FOR INFRARED (IR) TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 260 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 261 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 262 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 263 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 264 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 265 RTLS MARKET FOR ULTRASOUND TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 266 RTLS MARKET FOR GPS TECHNOLOGY, BY REGION, 2017–2019 (USD MILLION)
               TABLE 267 RTLS MARKET FOR GPS TECHNOLOGY, BY REGION, 2020–2025 (USD MILLION)
               TABLE 268 RTLS MARKET FOR OTHER TECHNOLOGIES, BY OFFERING, 2017–2019 (USD MILLION)
               TABLE 269 RTLS MARKET FOR OTHER TECHNOLOGIES, BY OFFERING, 2020–2025 (USD MILLION)
               TABLE 270 RTLS MARKET FOR OTHER TECHNOLOGIES, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 271 RTLS MARKET FOR OTHER TECHNOLOGIES, BY VERTICAL, 2020–2025 (USD MILLION)
               TABLE 272 RTLS MARKET FOR OTHER TECHNOLOGIES, BY REGION, 2017–2019 (USD MILLION)
               TABLE 273 RTLS MARKET FOR OTHER TECHNOLOGIES, BY REGION, 2020–2025 (USD MILLION)
               TABLE 274 RTLS MARKET, BY APPLICATION, 2017–2019 (USD MILLION)
               TABLE 275 RTLS MARKET, BY APPLICATION, 2020–2025 (USD MILLION)
               TABLE 276 RTLS MARKET, BY VERTICAL, 2017–2019 (USD MILLION)
               TABLE 277 RTLS MARKET, BY VERTICAL, 2020–2025 (USD MILLION)
     13.4 LOCATION ANALYTICS MARKET 
               TABLE 278 SOLUTIONS: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 279 SOLUTIONS: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 280 SERVICES: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 281 SERVICES: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 282 LOCATION ANALYTICS MARKET, BY SOLUTION, 2016–2019 (USD MILLION)
               TABLE 283 LOCATION ANALYTICS MARKET, BY SOLUTION, 2019–2025 (USD MILLION)
               TABLE 284 GEOCODING AND REVERSE GEOCODING: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 285 GEOCODING AND REVERSE GEOCODING: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 286 DATA INTEGRATION AND ETL: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 287 DATA INTEGRATION AND ETL: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 288 REPORTING AND VISUALIZATION: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 289 REPORTING AND VISUALIZATION: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 290 THEMATIC MAPPING AND SPATIAL ANALYSIS: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 291 THEMATIC MAPPING AND SPATIAL ANALYSIS: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 292 OTHER SOLUTIONS: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 293 OTHER SOLUTIONS: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 294 LOCATION ANALYTICS MARKET, BY SERVICE, 2016–2019 (USD MILLION)
               TABLE 295 LOCATION ANALYTICS MARKET, BY SERVICE, 2019–2025 (USD MILLION)
               TABLE 296 CONSULTING: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 297 CONSULTING: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 298 INTEGRATION AND DEPLOYMENT: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 299 INTEGRATION AND DEPLOYMENT: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 300 SUPPORT AND MAINTENANCE: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 301 SUPPORT AND MAINTENANCE: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 302 LOCATION ANALYTICS MARKET, BY LOCATION TYPE, 2016–2019 (USD MILLION)
               TABLE 303 LOCATION ANALYTICS MARKET, BY LOCATION TYPE, 2019–2025 (USD MILLION)
               TABLE 304 INDOOR LOCATION: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 305 INDOOR LOCATION: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 306 OUTDOOR LOCATION: LOCATION ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
               TABLE 307 OUTDOOR LOCATION: LOCATION ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
               TABLE 308 LOCATION ANALYTICS MARKET, BY APPLICATION, 2016–2019 (USD MILLION)
               TABLE 309 LOCATION ANALYTICS MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
               TABLE 310 LOCATION ANALYTICS MARKET, BY VERTICAL, 2016–2019 (USD MILLION)
               TABLE 311 LOCATION ANALYTICS MARKET, BY VERTICAL, 2019–2025 (USD MILLION)
 
14 APPENDIX (Page No. - 255)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

The research study for the federated learning market involved the use of extensive secondary sources, directories, and several journals, including Elsevier B.V., IEEE Xplore, and Journal of Medical Internet Research (JMIR), and blogs, such as Google AI, OpenMined, NVIDIA, and IBM, to identify and collect information useful for this comprehensive market research study. Primary sources were industry experts from the core and related industries, preferred federated learning providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as Elsevier B.V., IEEE Xplore, and Journal of Medical Internet Research (JMIR), and blogs, such as Google AI, OpenMined, NVIDIA, and IBM, magazines such as Analytics India Magazine, HealthTech magazine, and other magazines.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from federated learning solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders. Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation.

The following is the breakup of primary profiles:

Federated Learning Market Size, and Share

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

Market Size Estimation

The federated learning market is in an initial stage, with a very limited number of available deployments, and a limited number of vendors. Available secondary data as well as primary information was analyzed to identify use cases, research projects, initiatives, and consortiums specific to the market. An exhaustive list of all vendors offering solutions or having initiatives/research projects in the market was prepared. All players do not have solution offerings, whereas some key players such as Cloudera, IBM, and Google are working on research projects to further explore the potential of the federated learning market. The revenue contribution of the market vendors who have direct offerings was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated on the basis of breadth of applications and verticals. On the other hand, the vendors working on research projects were studied in detail to identify their progress and understand the future scope of federated learning solutions. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation. The list of vendors considered for estimating the market size is not limited to the vendors profiled in the report.

The pricing trend is assumed to vary over time.

  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, . The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation. The list of vendors considered for estimating the market size is not limited to the vendors profiled in the report. However, MarketsandMarkets prepared a laundry list of vendors offering edge AI software and ML solutions, and mapped their products related to the federated learning market to identify major vendors operating in the market. The likelihood of these vendors venturing into market is high as they already have ML and edge AI software-specific offerings and federated learning solutions can enable further efficiencies.

Report Objectives

  • To define, describe, and predict the federated learning market by region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details related to the different vendors operating and working on research projects in the federated learning market
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the federated learning market
  • To analyze different applications of federated learning across verticals

Available Customizations

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

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players up to 5
Report Code
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Published ON
Apr, 2022
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