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JCMR recently broadcasted a new study in its database that highlights the in-depth market analysis with future prospects of Manufacturing Management Software market. The study covers significant data which makes the research document a handy resource for managers, industry executives and other key people get ready-to-access and self analyzed study along with graphs and tables to help understand market trends, drivers and market challenges. Some of the key players mentioned in this research are UniPoint, Prodsmart, Fishbowl Manufacturing, Global Shop Solutions, NetSuite Manufacturing, Hubstaff, IQMS, Epicor, SYSPRO, xTuple, Genius ERP
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COVID-19 is an infectious disease caused by the most recently discovered novel corona virus. Largely unknown before the outbreak began in Wuhan (China) in December 2019, COVID-19 has moved from a regional crisis to a global pandemic in just a matter of a few weeks.
In addition, production and supply chain delays were also witnessed during the second quarter which poised a challenge to the Manufacturing Management Software market, since end-user industries were still not operating at their full capacity.
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What are the market’s problems in Manufacturing Management Software?
Changing regulatory landscapes, operational barriers, and the emergence of alternative technologies are all impacting the Manufacturing Management Software industry.
What are the various types of segments covered in the Manufacturing Management Software Market?
Segment by Type – Cloud – On-premise Segment by Application – Healthcare & Pharmaceuticals – Automotive – Chemicals – Food and Beverages – Others
Who are the top key players in the Manufacturing Management Software market?
UniPoint, Prodsmart, Fishbowl Manufacturing, Global Shop Solutions, NetSuite Manufacturing, Hubstaff, IQMS, Epicor, SYSPRO, xTuple, Genius ERP
Which region is the most profitable for the Manufacturing Management Software market?
The emerging economies in the Asia Pacific region will be the lucrative markets for Manufacturing Management Software products. .
What is the current size of the Manufacturing Management Software market?
The current market size of global Manufacturing Management Software market is estimated to be USD XX in 2022.
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North America is the region’s largest market for Manufacturing Management Software.
North America includes countries such as the US, Canada, and Mexico. North America is the second-largest consumer and producer of electricity, after Asia Pacific. The US and Canada, which are among the largest consumers in this region as well as globally, constitute the largest share of the Manufacturing Management Software market.
Secondary Research:
This Manufacturing Management Software research study made extensive use of secondary sources, directories, and databases such as Hoover’s, Bloomberg BusinessWeek, Factiva, and OneSource to identify and collect information useful for a technical, market-oriented, and commercial study of the global portable generator market. Other secondary sources included company annual reports, press releases, and investor presentations, white papers, certified publications, articles by recognized authors, manufacturer associations, trade directories, and databases.
Manufacturing Management Software Primary Research:
Various sources from both the supply and demand sides were interviewed during the Manufacturing Management Software primary research process to obtain qualitative and quantitative information for this report. Primary sources included industry experts from the core and related industries, as well as preferred suppliers, manufacturers, distributors, technology developers, researchers, and organizations from all segments of the value chain of this industry. To obtain and verify critical qualitative and quantitative information, in-depth interviews were conducted with a variety of primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants.
Estimation of Manufacturing Management Software Market Size
The total size of the Manufacturing Management Software market was estimated and validated using both top-down and bottom-up approaches. These methods were also widely used to estimate the size of various market sub segments. The following research methodologies were used to estimate market size:
Extensive secondary research was used to identify the industry’s key players.
The revenues generated by the market’s leading players in molecular diagnostics have been determined through primary and secondary research.
All percentage shares, splits, and breakdowns were calculated using secondary sources and confirmed using primary sources.
TABLE OF CONTENTS OF Manufacturing Management Software Market Report
1 INTRODUCTION
1.1 Manufacturing Management Software study objectives
1.2 Manufacturing Management Software definition
1.3 Manufacturing Management Software inclusions & exclusions
1.4 Manufacturing Management Software market scope
1.5 Manufacturing Management Software report years considered
1.6 Manufacturing Management Software currency
1.7 Manufacturing Management Software limitations
1.8 Manufacturing Management Software industry stakeholders
1.9 Manufacturing Management Software summary of changes
2 RESEARCH METHODOLOGY
2.1 Manufacturing Management Software research data
2.2 Manufacturing Management Software market breakdown and data triangulation
2.3 Manufacturing Management Software scope
2.4 impact of covid-19 on Manufacturing Management Software industry
2.5 Manufacturing Management Software market size estimation
3 Manufacturing Management Software EXECUTIVE SUMMARY
4 Manufacturing Management Software PREMIUM INSIGHTS
4.1 attractive opportunities in Manufacturing Management Software market
4.2 Manufacturing Management Software market, by region
4.3 Manufacturing Management Software market in North America, by end user & country
4.4 Manufacturing Management Software market, by application
4.5 Manufacturing Management Software market, by end user
5 Manufacturing Management Software MARKET OVERVIEW
5.1 Manufacturing Management Software introduction
5.2 covid-19 Manufacturing Management Software health assessment
5.3 Manufacturing Management Software road to recovery
5.4 covid-19 Manufacturing Management Software economic assessment
5.5 Manufacturing Management Software market dynamics
5.6 Manufacturing Management Software trends
5.7 Manufacturing Management Software market map
5.8 average pricing of Manufacturing Management Software
5.9 Manufacturing Management Software trade statistics
5.8 Manufacturing Management Software value chain analysis
5.9 Manufacturing Management Software technology analysis
5.10 Manufacturing Management Software tariff and regulatory landscape
5.11 Manufacturing Management Software: patent analysis
5.14 Manufacturing Management Software porter’s five forces analysis
6 Manufacturing Management Software MARKET, BY APPLICATION
6.1 Manufacturing Management Software Introduction
6.2 Manufacturing Management Software Emergency
6.3 Manufacturing Management Software Prime/Continuous
7 Manufacturing Management Software MARKET, BY END USER
7.1 Manufacturing Management Software Introduction
7.2 Manufacturing Management Software Residential
7.3 Manufacturing Management Software Commercial
7.4 Manufacturing Management Software Industrial
8 GEOGRAPHIC ANALYSIS
8.1 Manufacturing Management Software Introduction
8.2 Manufacturing Management Software industry by North America
8.3 Manufacturing Management Software industry by Asia Pacific
8.4 Manufacturing Management Software industry by Europe
8.5 Manufacturing Management Software industry by Middle East & Africa
8.6 Manufacturing Management Software industry by South America
9 Manufacturing Management Software COMPETITIVE LANDSCAPE
9.1 Manufacturing Management Software Key Players Strategies
9.2 Manufacturing Management Software Market Share Analysis Of Top Five Players
9.3 Manufacturing Management Software Market Evaluation Framework
9.4 Revenue Analysis Of Top Five Manufacturing Management Software Market Players
9.5 Manufacturing Management Software Company Evaluation Quadrant
9.6 Manufacturing Management Software Competitive Leadership Mapping Of Start-Ups
9.7 Manufacturing Management Software Competitive Scenario
10 Manufacturing Management Software COMPANY PROFILES
10.1 Manufacturing Management Software Major Players
10.2 Manufacturing Management Software Startup/Sme Players
11 APPENDIX
11.1 Insights Of Manufacturing Management Software Industry Experts
11.2 Manufacturing Management Software Discussion Guide
11.3 Manufacturing Management Software Knowledge Store
11.4 Manufacturing Management Software Available Customizations
11.5 Manufacturing Management Software Related Reports
11.6 Manufacturing Management Software Author Details
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Collaborative Applications Market study by “jcmarketresearch.com” provides details about the market dynamics affecting the market, Market scope, Market segmentation and overlays shadow upon the leading market players highlighting the favorable competitive landscape by top major Intralinks, Cybozu, Huddle House, Atlassian, Slack Technologies, TigerConnect, Microsoft and trends prevailing over the years.
The research report provides deep insights into the global market revenue, parent market trends, macro-economic indicators, and governing factors, along with market attractiveness per market segment. The report provides an overview of the growth rate of the Collaborative Applications market during the forecast period, i.e., 2021–2030. Most importantly, the report further identifies the qualitative impact of various market factors on market segments and geographies. The research segments the market to offer more clarity regarding the industry, the report takes a closer look at the current status of various factors including but not limited to supply chain management, niche markets, distribution channel, trade, supply, and demand and production capability across different countries.
The Collaborative Applications report profiles the key players in the industry, along with a detailed analysis of their individual positions against the global landscape. The study conducts SWOT analysis to evaluate strengths and weaknesses of the key players Intralinks, Cybozu, Huddle House, Atlassian, Slack Technologies, TigerConnect, Microsoft in the Collaborative Applications market. The researcher provides an extensive analysis of the Collaborative Applications market size, share, trends, overall earnings, gross revenue, and profit margin to accurately draw a forecast and provide expert insights to investors to keep them updated with the trends in the market.
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Competitive scenario:
The Collaborative Applications study assesses factors such as segmentation, description, and applications of Collaborative Applications industries. It derives accurate insights to give a holistic view of the dynamic features of the business, including shares, profit generation, thereby directing focus on the critical aspects of the business.
The final report will add the analysis of the Impact of Covid-19 in this Collaborative Applications report Market.
Adapting to the recent novel COVID-19 pandemic, the impact of the COVID-19 pandemic on the global Collaborative Applications Market is included in the present report. The influence of the novel coronavirus pandemic on the growth of the Collaborative Applications Market is analyzed and depicted in the report.
Some of the companies competing in the Collaborative Applications Market are
Intralinks, Cybozu, Huddle House, Atlassian, Slack Technologies, TigerConnect, Microsoft
Segment by Type– Communication– Collaboration Level– Co-OrdinationSegment by Application– Computer Supported Cooperative Network– Integrated Collaboration Environment– Content Management System– Document Management System– Enterprise Content Management– Event Management Software– Human-Based Genetic Algorithm– Common Based Peer Production
Segmentation
The Collaborative Applications Market has been segmented on the basis of different aspects. The market is also segmented according to region. The Collaborative Applications Market has been segmented into Latin America, North America, Asia Pacific, Europe, and the Middle East & Africa on the basis of region
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Research Methodology
The Collaborative Applications report has its roots definitely set in thorough strategies provided by the proficient data analysts. The research methodology involves the collection of information by analysts only to have them studied and filtered thoroughly in an attempt to provide significant predictions about the market over the review period. The Collaborative Applications research process further includes interviews with leading market influencers, which makes the primary research relevant and practical. The secondary method gives a direct peek into the demand and supply connection specifically into Collaborative Applications market. The Collaborative Applications market methodologies adopted in the report offer precise data analysis and provides a tour of the entire market. Both primary and secondary approaches to data collection have been used. In addition to these, publicly available sources such as SEC filings, annual reports, and white papers have been used by data analysts for an insightful understanding of the Collaborative Applications market. The research methodology clearly reflects an intent to extract a comprehensive view of the market by having it analyzed against many parameters. The valued inputs enhance the Collaborative Applications report and offer an edge over the peers.
Drivers & Constraints
The Collaborative Applications Market rests united with the incidence of leading top Intralinks, Cybozu, Huddle House, Atlassian, Slack Technologies, TigerConnect, Microsoft players who keep funding to the market’s growth significantly every year. The report studies the value, volume trends, and the pricing structure of the market so that it could predict maximum growth in the future. Besides, various suppressed growth factors, restraints, and opportunities are also estimated for the advanced study and suggestions of the market over the assessment period.
Collaborative Applications Market Segmented by Region/Country: North America, Europe, Asia Pacific, Middle East & Africa, and Central & South America
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Solutions Review’s listing of the best information management software is an annual sneak peek of the solution providers included in our Data Management Buyer’s Guide and Solutions Directory. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.
The editors at Solutions Review have developed this resource to assist buyers in search of the best information management software to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best information management software providers all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.
Note: The best information management software is listed in alphabetical order.
Description: 1010data provides integrated capabilities for database management and data analytics. The company’s flagship product, 1010edge, also features data modeling and visualization, reporting, and application development. 1010 brings disparate data together to provide a granular view, and the solution scales to any size. In addition, the tool’s columnar data storage capabilities present data in an orderly fashion.
Description: Amazon Web Services (AWS) offers Amazon Redshift, a fully managed, petabyte-scale data warehouse that analyzes data using an organization’s existing analytic software. Redshift’s data warehouse architecture allows users to automate common administrative tasks associated with provisioning, configuring, and monitoring cloud data warehousing. Backups to Amazon S3 are continuous, incremental and automatic. Redshift also includes Redshift Spectrum, allowing users to directly run SQL queries against large volumes of unstructured data without transforming.
Platform: Ataccama ONE
Description: Ataccama ONE is a comprehensive master data management product that offers an intriguing list of capabilities for many use cases. The solution offers a machine learning-centric user interface, as well as a data processing engine that is responsible for data transformations, evaluating business rules, and matching and merging rules. The platform supports any data, domain, and a variety of integrations.
Description: Cloudera provides a data storage and processing platform based on the Apache Hadoop ecosystem, as well as a proprietary system and data management tools for design, deployment, operations, and production management. Cloudera acquired Hortonworks in October 2018. It followed that up with a buy of San Mateo-based big data analytics provider Arcadia Data last September. Cloudera’s new integrated data management product (Cloudera Data Platform) enables analytics across hybrid and multi-cloud.
Platform: Collibra Platform
Related products: Collibra Catalog, Collibra Privacy & Risk
Description: Collibra’s Data Dictionary documents an organization’s technical metadata and how it is used. It describes the structure of a piece of data, its relationship to other data, and its origin, format, and use. The solution serves as a searchable repository for users who need to understand how and where data is stored and how it can be used. Users can also document roles and responsibilities and utilize workflows to define and map data. Collibra is unique because the product was built with business end-users in mind.
Description: Commvault is well-known in the backup and disaster recovery marketplace, performing as one of the top solution providers. The company also offers a cloud data management product that allows organizations to manage data via on-prem and cloud deployments. Users can fully manage data across files, applications, databases, hypervisors, and clouds (including Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud). The tool also includes Commvault’s popular backup and disaster recovery, as well as e-discovery, capabilities.
Description: Druva Phoenix offers data availability and governance functionality for virtual machines and physical servers. Its cloud-centric approach is unique and combines high-performance, scalable backup, disaster recovery, archival, and analytics. The product can be deployed quickly at sites located around the world while also aligning with regional data storage regulations. Phoenix can also be managed from a central location to provide full control over server backups and data composition.
Description: Google offers a fully-managed enterprise data warehouse for analytics via its BigQuery product. The solution is serverless and enables organizations to analyze any data by creating a logical data warehouse over managed, columnar storage, and data from object storage and spreadsheets. BigQuery captures data in real-time using a streaming ingestion feature, and it’s built atop the Google Cloud Platform. The product also provides users the ability to share insights via datasets, queries, spreadsheets, and reports.
Description: Hewlett Packard Enterprise (HPE) is the enterprise software arm of the computer hardware giant HP. The vendor offers a cloud-based database management solution on Amazon Web Services, Microsoft Azure, or via an individually licensed model. Vertica provides an MPP SQL analytical database with linear scaling native high availability that allows organizations to query data in near real-time.
Description: Hitachi Vantara is a wholly-owned subsidiary of Hitachi, Ltd., and offers an expansive portfolio of products for integrating, managing, and analyzing data. Hitachi’s portfolio of data management solutions are best suited for modern environments and can help organizations to quickly improve their key performance metrics, including business continuity, backup windows, operational recovery and disaster recovery. The tool also provides data protection and recovery for complex enterprise architectures.
Description: IBM has data management products for virtually every enterprise use case. Its products can be deployed in any environment, and partnerships with some of the other top names in the marketplace make it an even more intriguing option for organizations with large workloads and expansive data jobs. IBM also offers its Informix database that can integrate SQL, NoSQL/JSON, time series, and spatial data.
Description: Immuta’s automated data governance platform lets users discover and access data through a dedicated data catalog. The product features an intuitive policy builder that provides author policies in plain English, without code so security leaders can write policies across any data. Immuta also enables compliant collaboration via projects, controlled workspaces where users can share data. When users switch projects, they assume the right permissions and controls.
Description: Informatica’s big data management platform allows organizations to access, integrate, clean, master, govern, and secure big data. The tool features purpose-built connectors to hundreds of data sources, real-time streaming, and mass ingestion. Informatica’s visual developer interface also ensures that the best open-source platforms can be adopted without sacrificing usability. Public cloud support for Big Data Management is available on AWS and Microsoft Azure.
Description: MarkLogic offers an operational and transactional enterprise NoSQL database that is designed to integrate, store, manage, and search for data. Organizations can ingest structured and unstructured data with a flexible data model that adapts to changing data. It also natively stores JSON, XML, text, and geospatial data. MarkLogic’s Universal Index enables users to search across all data, and APIs enable application development and deployment. The database has ACID transactions, scalability and elasticity, and certified security as well.
Description: Microsoft offers an array of data management products, including those for analytics, data governance, and even data virtualization. Its SQL Server solution provides data warehousing for both on-prem and cloud deployments, as well as an in-memory database. Microsoft allows organizations to access, store, and analyze any kind of data and even offers fully-managed Hadoop and Spark. The company is one of the major players in the overall big data marketplace, with top-ranked tools in business intelligence and data integration.
Description: Oracle’s suite of data management capabilities allows users to manage both traditional and new data sets on its cloud platform. The company also offers an autonomous data warehouse cloud with more than 2,000 SaaS applications. The platform runs the gamut of big data functionality, with support for data integration and analytics as well. Its other data management offerings include Oracle Big Data Cloud, Oracle Big Data Cloud Service, Oracle Big Data SQL Cloud Service, and Oracle NoSQL Database.
Description: Precisely’s solution portfolio is broken into five distinct categories based on the use case. Integrate is its data integration line that features Precisely Connect, Ironstream, Automate, Data360 Govern, Assure, and Syncsort. Automate Studio and Automate Evolve both integrate with SAP. The Verify unit of data quality tools includes Precisely Spectrum Quality, EnterWorks, and Trillium. The Location Intelligence Suite (Locate) touts Precisely Spectrum Spatial, Spectrum Geocoding, and MapInfo, while Enrich features Precisely Streets, Boundaries, Points Of Interest, Addresses, and Demographics. There’s also Precisely Engage on the company’s Engage unit.
Description: Riversand is a master data management (MDM) and product information management solution provider. The company’s MDM offering features a multi-domain core designed to provide a complete view of enterprise data. In addition, Riversand includes high-scale computing, a set of streamlined collaboration tools, and data governance functionality. Reporting via the vendor’s data visualization product is included with each license and offers users the ability to run advanced analysis via charts, tables, and dashboards.
Description: SAP offers its data management capabilities on a single platform. SAP HANA allows users to collect and combine all types of data in real-time, as well as enhance data governance, monitoring, and orchestration. Users can also create a unified view of data with smart data integration that enables advanced applications and data management. The platform is flexible and can be deployed on-prem, in the cloud, or via hybrid deployments. HANA is an in-memory tool with fast data processing and advanced analytics with OLAP and OLTP processing.
Description: SAS is the largest independent vendor in the data management marketplace. The company’s main product is built atop a data quality platform that allows users to improve, integrate, and govern enterprise data. SAS Data Management can ingest data from legacy systems and Hadoop, and create rules once and reuse them. In addition, users can update data, tweak processes, and analyze results themselves. A built-in business glossary as well as third-party metadata management and lineage visualization capabilities allow for collaboration.
Description: SingleStore can ingest and transform millions of events per day while also analyzing billions of rows of data using standard SQL. It can be deployed on-prem, in the cloud via Amazon Web Services or Microsoft Azure, or as a service including drop-in compatibility with existing middleware, integration, and BI software. The tool offers excellent real-time data streaming capabilities, and now provides more efficient query isolation for large volumes of data and many users.
Description: Snowflake offers a cloud data warehouse built atop Amazon Web Services. The solution loads and optimizes data from virtually any source, both structured and unstructured, including JSON, Avro, and XML. Snowflake features broad support for standard SQL, and users can do updates, deletes, analytical functions, transactions, and complex joins as a result. The tool requires zero management and no infrastructure. The columnar database engine uses advanced optimizations to crunch data, process reports, and run analytics.
Description: The Stibo Trailblazer Enterprise Platform (STEP) features data quality capabilities designed to handle data profiling, data matching, and enrichment with external reference data. It also includes a user-friendly interface for implementing business rules, checks, and controls. The graphical interface verifies uncertain de-duplication and matching with external sources.
Description: Talend offers an expansive portfolio of data integration and data management tools. The company’s flagship data management product, Talend Data Management Platform, features graphical tools and wizards, and more than 900 pre-built components and connectors to natively connect databases, flat files, and cloud-based applications. An included data mapper and parsing capabilities allow users to map complex EBCDIC files, XML, JSON, and EDI documents.
Platform: Tamr Unify
Description: Tamr offers a popular data mastering platform that powers analytic insights, boosts operational efficiency. and enhances data operations. The vendor’s cloud-native solutions act as an effective alternative to traditional MDM tools through machine learning which consolidates, cleanses, and categorizes data. Tamr’s Master Records feature provides a complete view of all entities via simple yes and no questions. Tamr is the foundation for modern DataOps in various enterprise verticals and is backed by NEA and Google Ventures.
Description: Teradata offers a broad spectrum of data management solutions that include database management, cloud data warehousing, and data warehouse appliances. The company’s product portfolio is available on its own managed cloud and on Amazon Web Services and Microsoft Azure. Teradata provides organizations the ability to run diverse queries, in-database analytics, and complex workload management.
Description: TIBCO touts an impressive portfolio of data management products under its product line called TIBCO Unify. The Unify suite is made up of TIBCO DQ (for data quality), TIBCO EBX (for master data management), and TIBCO Data Virtualization. TIBCO’s data management capabilities are infused with AI and machine learning to automate manual processes. The company has developed its line of big data products through both in-house development and acquisitions. TIBCO is also a leading provider in the BI and data analytics space.
Description: The Zaloni Data Management Platform operationalizes data along the entire pipeline, from data source to consumer. ZDP automates repeatable data management tasks and processes and provides central management of all enterprise data sources whether on-prem, cloud, multi-cloud, or hybrid. Zaloni is compatible with all major Hadoop distributions, most data processing engines, and applicable deployment models.
On September 9, 2022, the U.S. Commerce Department’s Bureau of Industry and Security (BIS or Commerce) published a rule, sought by tech and telecom companies, and industry organizations, authorizing the release of certain technology and software to BIS Entity List parties who would otherwise be subject to a U.S. export ban prohibiting their receipt of such items.
The rule, Authorization of Certain “Items” to Entities on the Entity List in the Context of Specific Standards Activities (IFRM), amends the Export Administration Regulations (EAR) to authorize the release of specified items subject to the EAR Entity List parties without an export license, when that release occurs in the context of a “standards-related activity,” a term newly defined by the IFRM. The IFRM became effective upon publication, and comments are due by November 8, 2022. Companies engaged in standards-related activities are invited to provide comments to BIS on the impact of this rule and whether further clarity is necessary.
Commerce previously amended the EAR to authorize certain releases of technology without a license to Huawei Technologies Co., Ltd. and its affiliates (“Huawei”) in the context of international standards development, following Huawei’s designation on the Entity List. The IFRM responds to requests from across industry to ensure that U.S. companies are able to participate fully in standards development organizations in which Entity List parties are members, or otherwise risk hampering U.S. leadership in standards development.
The scope of the IFRM includes certain low-controlled technology as well as software; however, the IFRM does not change the assessment of whether technology or software is subject to the EAR. This authorization only overcomes export licensing requirements imposed as a result of an entity’s inclusion on the Entity List. Other EAR licensing requirements, such as restrictions on certain end-use activities or country-based controls, continue to apply.
BIS places entities on the Entity List pursuant to Section 744.11 of the EAR, which imposes license requirements on, and limits the availability of most license exceptions for, exports, reexports and transfers (in-country) to listed entities.
On June 18, 2020, BIS published an interim final rule, Release of “Technology” to Certain Entities on the Entity List in the Context of Standards Organizations, with a request for comment, to allow exchanges of certain EAR-controlled technology in a standards organization environment specifically for Huawei. In particular, technology subject to the EAR and designated as EAR99 or controlled on the Commerce Control List (CCL) only for anti-terrorism (AT) reasons could be released to members of a standards organization, including Huawei, without a license, if released for the purpose of contributing to the revision or development of a standard.
Responsive comments generally urged additional action to expand the scope of the standards exemption to maintain and restore the ability of U.S. participation in international standards development. In response to comments received, BIS issued the IFRM, stating its intent “to protect U.S. technological leadership without discouraging, and indeed supporting and promoting, the full participation of U.S. actors in international standards development efforts.”
The scope of the IFRM parallels the 2020 Huawei-related rulemaking; however, with two major differences:
First, the IFRM revises the authorization to include all entities on the Entity List, and it expanded the scope to cover certain software as well as technology. Accordingly, qualifying technology and software may be released to any Entity List members of a standards organization, without a license, if released for the purpose of contributing to the revision or development of a standard.
Second, BIS affirmed that information security is an important part of standards work, including in the development of 5G standards. Accordingly, the authorization includes software and technology that is designated EAR99; software and technology controlled for AT reasons only; and software that is classified in ECCN subparagraphs 5D002.b and 5D002.c.1 (only when corresponding to equipment specified in ECCNs 5A002.a and 5A002.c) and technology classified in 5E002 (only when corresponding to equipment specified in ECCNs 5A002.a, 5A002.b and 5A002.c, and for software controlled under ECCN 5D002.b and .c.1) when the release is for the “development,” “production” and “use” of cryptographic functionality in connection with the “standards-related activity.”
The general consensus of the comments was that the EAR’s prior use of the definitions for “standards” and “standards organizations” derived from the Office of Management and Budget (OMB) Circular A-119 was not appropriate for this context and created uncertainty and questions.
The IFRM removes the definitions of “standards” and “standards organization” from the EAR and instead incorporates a definition for “standards-related activity,” which is defined to include the development, adoption or application of a standard (i.e., any document or other writing that provides, for common and repeated use, rules, guidelines, technical or other characteristics for products or related processes and production methods, with which compliance is not mandatory), including but not limited to conformity assessment procedures, with the intent that the resulting standard will be “published.” A “standards-related activity” includes an action taken for the purpose of developing, promulgating, revising, amending, reissuing, interpreting, implementing or otherwise maintaining or applying such a standard. Note that the underlying work product need not itself be published, so long as there is an intent to publish the resulting standard.
Commerce is requesting comments on the revisions promulgated by the rule. In particular, BIS seeks comments in the following areas:
As companies consider whether to submit comments, they should evaluate the impact of the authorization to their business operations and whether they can propose more accurate definitions that reflect industry understanding of the terminology used in the rule.
The IFRM removes significant industry uncertainty surrounding participation in standards development and enables greater U.S. participation in international standards development, which is critical to U.S. competitiveness and access to global markets.
Companies should stay alert to releases occurring outside of the “standards-related activity,” which continue to require a license, as would one-on-one (individual-to-individual) discussions that do not relate to a “standards-related activity” (e.g., a sidebar conversation on another topic).
Moreover, standards organizations and their constituent members will need to take stock of their technology and software classifications and be intentional about implementing controls around any items whose ECCNs are not covered by this new rule.