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标题: 译文 | 2020 Gartner Magic Quadrant for Analytics and BI Platforms [打印本页]
作者: 168主编    时间: 2020-2-19 12:26
标题: 译文 | 2020 Gartner Magic Quadrant for Analytics and BI Platforms
本帖最后由 168主编 于 2020-2-19 13:15 编辑

2020 Gartner Magic Quadrant for Analytics and BI Platforms
2020 Gartner 数据分析与BI平台魔力象限图

Published 11 February 2020 - ID G00386610 - 69 min read
发布于2020年2月11日-ID G00386610
预计阅读时间69分钟

Augmented capabilities are becoming key differentiators for analytics and BI platforms, at a time when cloud ecosystems are also influencing selection decisions. This Magic Quadrant will help data and analytics leaders evolve their analytics and BI technology portfolios in light of these changes.
在云生态系统也在影响选择决策的时候，增强功能正成为分析和BI平台的关键区别。这个象限图将帮助数据和分析领导者根据这些变化发展他们的分析和BI技术组合。

Strategic Planning Assumptions 战略规划预测

By 2022, augmented analytics technology will be ubiquitous, but only 10% of analysts will use its full potential.到2022年，增强分析技术将无处不在，但只有10%的分析师将充分发挥其潜力。
By 2022, 40% of machine learning model development and scoring will be done in products that do not have machine learning as their primary goal.到2022年，40%的机器学习模型开发和评分将在没有机器学习作为主要目标的产品中完成。
By 2023, 90% the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives.到2023年，90%的世界500强公司将把分析治理融合到更广泛的数据和分析治理计划中。
By 2025, 80% of consumer or industrial products containing electronics will incorporate on-device analytics.到2025年，80%包含电子产品的消费品或工业产品将把分析功能内置在设备内。
By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.到2025年，数据故事将成为最广泛的消费分析方式，75%的故事将使用增强分析技术自动生成。

Market Definition/Description市场定义/描述
Modern analytics and business intelligence (ABI) platforms are characterized by easy-to-use functionality that supports a full analytic workflow — from data preparation to visual exploration and insight generation — with an emphasis on self-service and augmentation. For a full definition of what these platforms comprise and how they differ from older BI technologies, see “Technology Insight for Ongoing Modernization of Analytics and Business Intelligence Platforms.”
现代分析和商业智能（ABI）平台的特点是易于使用的功能，支持从数据准备到可视化探索和洞察力生成的完整分析工作流，并强调自助服务和增强功能。有关这些平台包含什么以及它们与旧的BI技术有何不同的完整定义，请参阅“分析和商业智能平台持续现代化的技术洞察力”

Vendors in the ABI market range from long-standing large technology firms to startups backed by venture capital funds. The larger vendors are associated with wider offerings that includes data management features. Most new spending in this market is on cloud deployments.
ABI市场上的供应商从长期存在的大型科技公司到由风险投资基金支持的初创企业。较大的供应商与更广泛的产品相关，包括数据管理功能。这个市场上的大多数新支出都是在云部署上。


ABI platforms are no longer differentiated by their data visualization capabilities, which are becoming commodities. Instead, differentiation is shifting to:ABI平台不再因其数据可视化能力而有所区别，而数据可视化能力正逐渐成为商品。相反，差异化正在转向：


ABI platform functionality includes the following 15 critical capability areas (these have been substantially updated to reflect the refocus on enterprise reporting and the increased importance of augmentation):ABI平台功能包括以下15个关键能力领域（这些领域已进行了实质性更新，以反映对企业报告的重新关注和增强的重要性）：


Magic Quadrant 象限图

Figure 1. Magic Quadrant for Analytics and Business Intelligence Platforms


Source: Gartner (February 2020)

Vendor Strengths and Cautions 供应商的优势和注意事项Alibaba Cloud 阿里云

Alibaba Cloud, a new entrant to this Magic Quadrant, is a Niche Player. As yet, it competes only in Greater China, but it has global potential.
阿里云是这次魔力象限的新成员，是一个利基玩家。到目前为止，它只在大中华区竞争，但它具有全球潜力。

Alibaba Cloud is the largest public cloud platform provider in China. It offers data preparation, visual-based data discovery and interactive dashboards as part of its Quick BI platform. It is available as a SaaS option running on Alibaba Cloud’s own infrastructure or as an on-premises option on Apsara Stack Enterprise.阿里云是中国最大的公有云平台提供商。它提供数据准备、基于可视化的数据发现和交互式仪表盘，作为其Quick BI产品平台的一部分。它可以作为运行在阿里云自身基础设施上的SaaS选项，也可以作为Apsara Stack Enterprise上的内部部署选项。

With release 3.4, Quick BI broadened its enterprise reporting functionality, thus reinforcing its strong focus on the needs of its local market.在3.4版中，Quick BI扩展了其企业报告功能，从而加强了对本地市场需求的关注。

Strengths 优势Cautions 注意事项Birst
Birst is a Niche Player in this Magic Quadrant. Its strategy and appeal are led by the aim of meeting the needs of the wider Infor installed base.
Birst provides an end-to-end data warehouse, reporting and visualization platform built for the cloud. It also offers its product as an on-premises appliance on commodity hardware. Since 2017, Birst has operated as a stand-alone subdivision of Infor. Judging by inquiries from Gartner customers, most organizations that consider using Birst are Infor customers.
In 2019, Birst extended its visual analytics capability with the guided Birst Visualizer, further developed its Smart Insights augmented analytics functionality and its core enterprise-readiness capabilities. Birst 7 brings together Mode 1 (centralized) and Mode 2 (decentralized) analytics in a single platform through a common interface.
StrengthsCautionsBOARD InternationalBOARD International is a Niche Player in this Magic Quadrant. It predominantly serves a submarket for financially oriented BI.
BOARD positions itself as a vendor of an “end-to-end decision-making platform” and defines its leading go-to-market targets as organizations using IBM, Oracle and SAP enterprise reporting tools. The company has transitioned to a hosted cloud model, and seen strong growth in the U.S., which now accounts for around one-quarter of its global license revenue.
In May 2019, BOARD introduced version 11 of its platform, based on a reengineered in-memory calculation engine that replaces its long-standing multidimensional online analytical processing (MOLAP) approach. The investment made by Nordic Capital early in 2019 is evident in BOARD’s head count growth — up almost 25% in a year — and its sharper marketing.
StrengthsCautionsDomo
Domo is a Niche Player in this Magic Quadrant. Its focus on business-user-deployed dashboards and ease of use characterize its appeal.
Domo’s cloud-based ABI platform offers over 1,000 data connectors, consumer-friendly data visualizations and dashboards, and a low/no-code environment for BI application development. Domo typically sells directly to business departments, such as marketing and sales, that are attracted to its platform’s ease of use and fast time to deployment.
In the fourth quarter of 2019, Domo announced a strategic partnership with Snowflake, a leading cloud data platform provider, to offer a native API integration and joint go-to-market strategy. In the second quarter of 2019, Domo announced a package of 20 data connectors to Amazon Web Services (AWS) services including Simple Storage Service (S3), Redshift, Athena, Aurora, DynamoDB and CloudWatch. In the first quarter of 2019, Domo announced its Business Automation Engine (BAE), an orchestration layer that coordinates event-based workflows and helps Domo move from descriptive to prescriptive analytics.
StrengthsCautionsDundas
Dundas, a Niche Player, is a new entrant to this Magic Quadrant. Greatly evolved from its origins as provider of a chart engine for developers, it now offers a fully featured platform.
The Dundas BI platform enables users to visualize data, build and share dashboards, create pixel-perfect reports, and embed and customize analytics content. It is built on Dundas’ in-memory engine and built-in data warehouse. Dundas sells to large enterprises, but specializes in embedded BI, with 70% of its revenue coming from OEMs that extend, integrate, customize and embed Dundas BI in their applications.
In 2019, Dundas introduced its new in-memory engine, added point-and-click trend analysis, a new natural language query capability, support for Linux (in addition to Windows), and an application development environment for highly customized analytic applications.
StrengthsCautionsIBM
IBM is a Niche Player in this Magic Quadrant. IBM Cognos Analytics is primarily of interest to existing IBM Cognos customers who are looking to modernize their ABI use.
IBM Cognos Analytics supports the entire analytics life cycle, from discovery to operationalization. For augmented analytics Cognos Analytics now supports statistically significant differences/insights, time series forecasting, key driver detection, NLP and NLG. As Cognos Analytics is an upgrade from earlier versions of Cognos, it brings formatted, production-style reporting for Mode 1, along with visual-based exploration and agility for Mode 2 ABI.
In the fourth quarter of 2019, IBM released a Cognos Analytics Cartridge for Cloud Pak for Data, which uses the Red Hat OpenShift Container Platform for both analytic deployments and DataOps. Also in the fourth quarter, IBM introduced a Cognos Analytics and Planning Analytics offering, paving the way for unified planning, “what if?” analysis and reporting.
StrengthsCautionsInformation BuildersInformation Builders is a Niche Player in this Magic Quadrant. Its WebFOCUS Designer is of most interest to its installed base and little evaluated in competitive sales cycles of which Gartner is aware.
Information Builders sells the integrated WebFOCUS ABI platform, as well as individual components thereof. WebFOCUS Designer (formerly InfoAssist+) includes components from the WebFOCUS stack that are intended to satisfy modern self-service ABI needs.
In 2019, Information Builders focused on reengineering its UI and moving the overall product to a cloud-first, microservice-based architecture aimed at shortening the time to value for users.
StrengthsCautionsLogi Analytics
Logi Analytics is a Niche Player, owing to its dedicated focus on the embedded analytics segment and appeal to developers.
The Logi Analytics Platform is focused solely on embedded analytics and application teams. The bulk of its revenue comes from OEM software and service vendors. Logi Analytics’ platform provides embedded dashboard, reporting and end-user authoring. Logi Predict provides an embeddable workflow to produce predictive models.
Logi acquired Jinfonet Software and its JReport product for pixel-perfect operational reporting in February 2019. It acquired Zoomdata for its streaming data in June 2019. Each year, it produces two major releases and offers frequent minor releases as service packs.
StrengthsCautionsLooker
Looker is a Challenger in this Magic Quadrant for the first time. Its pending acquisition by Google both increases its market visibility and raises questions about its future integration into Google’s portfolio.
Looker offers modern ABI reporting and dashboard capabilities using an agile, centralized data model and an in-database architecture optimized for various cloud databases.
Looker’s product enhancements in 2019 included integration with Slack, a redesigned dashboard experience and content organization structure, as well as automated model generation capabilities that convert SQL scripts into Looker data models. In addition, Looker has enhanced its developer tools and introduced a new developer portal, API sandbox and marketplace.
Note: Google announced a plan to acquire Looker in June 2019, but at the time of writing the acquisition is not complete. As such, Looker is evaluated on its own merits, although the public announcement of Google’s interest has inevitably improved Looker’s market visibility and reference customers’ views of its viability as a supplier.
StrengthsCautionsMicrosoft
Microsoft is a Leader in this Magic Quadrant. It has a comprehensive and visionary product roadmap and massive market reach through its Microsoft Office channel.
Microsoft offers data preparation, visual-based data discovery, interactive dashboards and augmented analytics in Power BI. It is available as a SaaS option running in the Azure cloud or as an on-premises option in Power BI Report Server. Power BI Desktop can be used as a stand-alone, free personal analysis tool. Installation of Power BI Desktop is required when power users are authoring complex data mashups involving on-premises data sources.
Microsoft releases a weekly update to its cloud service, which added hundreds of features in 2019. Recent additions include decomposition tree visuals, LinkedIn data connectivity and geographic mapping enhancements.
StrengthsCautionsMicroStrategyMicroStrategy is a Challenger in this Magic Quadrant. It is extremely strong functionally and has released innovations recently, but its limited market momentum and recognition outside its installed base hinder wider adoption.
MicroStrategy offers one of the most comprehensive ABI platforms, supporting both Mode 1 and Mode 2 analytic and reporting requirements. Its core analytic product family for data connectivity, data visualization and advanced analytics is supplemented by complementary mobile, cloud, embedded and identity analytics products.
MicroStrategy’s semantic graph is central to a new category of content, which the company calls HyperIntelligence. HyperIntelligence overlays and dynamically identifies predefined insights within existing applications. In another significant recent development, MicroStrategy has opened up its semantic layer to competing ABI platforms. This breaks a long-standing tradition in the ABI platform sector that emphasizes a more proprietary architecture. We expect both HyperIntelligence and the open architecture to be imitated by MicroStrategy’s competitors.
StrengthsCautionsOracleOracle is a Visionary in this Magic Quadrant, for the first time since re-entering it in 2017. Its continued focus on augmented analytics is now coupled with an improved go-to-market approach.
Oracle’s very broad ABI capabilities are available both in the Oracle Cloud and on-premises. Oracle Analytics Cloud (OAC) offers an integrated design experience for interactive analysis, reports and dashboards.
During 2019, Oracle simplified its product packaging to three offerings, including a new offering for analytic applications, introduced new, competitive pricing, and revamped its OAC customer success organization and customer and partner communities. It also continued to enhance its innovative augmented analytics and NLP integration with OAC and collaboration tools, such as Slack and Microsoft Teams, and added an analytics catalog.
StrengthsCautionsPyramid AnalyticsPyramid Analytics is a Niche Player in this Magic Quadrant. It is growing by attracting organizations that want an on-premises, private cloud or hybrid deployment, instead of a public cloud-based platform.
Pyramid offers an integrated suite for modern ABI requirements. It has a broad range of analytical capabilities, including data wrangling, ad hoc analysis, interactive visualization, analytic dashboards, mobile capabilities and collaboration in a governed infrastructure. It also features an integrated workflow for system-of-record reporting. Pyramid has now fully decoupled from Microsoft (on which it had relied) and is increasing awareness of its brand, growing new markets and audiences, and making strategic communications about its platform-agnostic offering.
The release of Pyramid v2020 brings sophistication and simplicity to technical and nontechnical users alike. Additionally, the adaptive augmented analytics platform now covers the entire data life cycle out-of-the-box, from ML-based data preparation to automated insights and automated ML model building.
StrengthsCautionsQlikQlik is a Leader in this Magic Quadrant. Its strong product vision for ML- and AI-driven augmentation is clear, but so is its lower market momentum, relative to its main competitors.
Qlik’s lead ABI solution, Qlik Sense, runs on the unique Qlik Associative Engine, which has powered Qlik products for the past 20 years. The engine enables users of all skill levels to combine data and explore information without the limitations of query-based tools. Qlik’s cognitive engine adds AI/ML functionality to the product and works with the Associative Engine to offer context-aware insight suggestions and augmentation of analysis.
Qlik continues to enhance its platform’s microservices-based architecture and multicloud capabilities. A full SaaS version of Qlik Sense Enterprise is available and forms the basis of Qlik’s new SaaS-based trial experience. Qlik introduced “associative insights” in June 2019 as an augmented analytics capability that uses Qlik’s cognitive engine to uncover otherwise hidden insights. Qlik’s acquisition of Attunity, whose product remains stand-alone, broadens the data integration capabilities of the Qlik ecosystem.
StrengthsCautionsSalesforceSalesforce is a Visionary in this Magic Quadrant. It remains strongest in terms of augmented analytics functionality, but other vendors are catching up. Furthermore, questions about how Salesforce Einstein Analytics and Tableau will be positioned for the future are creating uncertainty among customers.
Einstein Analytics is available in three packages, which differ in price and functionality. Einstein Analytics Plus — the comprehensive product — offers Einstein Prediction Builder, Sales Analytics, Service Analytics, Analytics Studio, Data Platform, Einstein Discovery and Einstein Data Insights. Salesforce’s midtier product, Einstein Analytics Growth, offers a more limited bundle of Sales Analytics, Service Analytics, Analytics Studio, and Data Platform. And Salesforce’s lowest price offering, Einstein Predictions, offers Einstein Predictive Builder and Einstein Discovery.
On 1 August 2019, Salesforce completed its acquisition of Tableau — the most significant market change of the year. The addition of Tableau gives Salesforce enormous customer, product and channel momentum, but it also introduces uncertainty. Salesforce already had a very robust product line that heavily overlapped with Tableau’s. Moreover, Salesforce Einstein Analytics customers indicate strong satisfaction, which has prompted many to ask why Salesforce needed to make the $15 billion acquisition.
Note: Salesforce announced a plan to acquire Tableau in June 2019. The acquisition was completed on 1 August 2019. However, the U.K. Competition and Markets Authority (CMA) implemented a “hold separate” order, which required Salesforce and Tableau to operate separately, pending a review. The CMA lifted this order at the end of November 2019. As a result, product and company integration plans were not developed and available to share with Gartner in time for consideration for this Magic Quadrant. As such, representing the joined offering as one entity was not warranted, nor would it be useful to readers at this point. Salesforce and Tableau are therefore represented separately in this Magic Quadrant.
StrengthsCautionsSAPSAP is a Visionary in this Magic Quadrant, thanks to its improved product functionality and strong vision, but it remains of interest predominantly to the wider base of SAP enterprise application users.
SAP Analytics Cloud is a cloud-native multitenant platform with a broad set of analytic capabilities. Most companies that choose SAP Analytics Cloud already use some SAP business applications.
In 2019, SAP continued to strengthen the product’s core capabilities in data connectivity (via SAP Cloud Platform Open Connectors) and visualization. It also added a set of open APIs to support the OEM/embedded use case for the first time. As the strategic analytics offering for all SAP applications and data sources, SAP Analytics Cloud is offered as the embedded analytics and planning solution for the SAP Intelligent Suite, which includes SAP SuccessFactors, SAP C/4HANA and SAP S/4HANA.
StrengthsCautionsSASSAS is a Visionary in this Magic Quadrant. This status reflects its robust product and global presence, as well as its challenges in terms of marketing and price perception.
SAS offers Visual Analytics on its new cloud-ready and microservices-based platform, SAS Viya. SAS Visual Analytics is one component of SAS’s end-to-end visual and augmented data preparation, ABI, data science, ML and AI solution.
In 2019, SAS significantly enhanced its augmented analytics capabilities. These now include automated suggestions for relevant factors, and insights and related measures expressed using visualizations and natural language explanations. They also include automated predictions with “what if?” and AI-driven data preparation suggestions. Additionally, SAS has enhanced Visual Analytics’ location intelligence capabilities and introduced a new SDK.
StrengthsCautionsSisenseSisense is a Visionary in this Magic Quadrant, one best known for its success with the embedded use case. Its new emphasis on serving the “builder” buyer persona represents a change in marketing focus and market segmentation as it seeks competitive advantage.
Sisense provides an ABI platform that supports complex data projects by offering data preparation, analytics and visual exploration capabilities. Half of its ABI platform customers use the product in an OEM form.
Sisense 8.0.1 was released in September 2019 with new ML capabilities to uncover hidden insights and suggest new visualizations. In May 2019, Sisense acquired Periscope Data to reinforce its advanced analytics capabilities. Integration of the products has begun and will continue over the coming months.
StrengthsCautionsTableauTableau is a Leader in this Magic Quadrant. It offers a visual-based exploration experience that enables business users to access, prepare, analyze and present findings in their data. It has powerful marketing and expanded enterprise product capabilities, but there is some uncertainty about its direction as part of Salesforce.
In 2019, Tableau significantly broadened the scope of its product offerings, particularly their augmented analytics and governance capabilities. For augmented analytics, Tableau introduced both Ask Data and Explain Data to provide natural language query and automated insights. For governance, Tableau improved Tableau Prep Builder (which comes with Tableau Creator) and introduced Tableau Prep Conductor to schedule and monitor data management tasks. Tableau Prep Conductor comes bundled with Tableau Catalog as part of the Data Management Add-on. Tableau also introduced the Server Management Add-on, which provides server management, content migration and workload optimization. Tableau also moved a significant portion of its customer base to the cloud with Tableau Online.
On 1 August 2019 Salesforce completed its acquisition of Tableau. This acquisition creates opportunities and challenges for Tableau. Salesforce bolsters Tableau in three key emerging areas of the ABI Platform market: AI, Cloud, and embedded analytics. However, Tableau had already made significant progress in all three areas prior the acquisition, and must now reconcile a complicated and overlapping product roadmap.
Note: Salesforce announced a plan to acquire Tableau in June 2019. The acquisition was completed on 1 August 2019. However, the U.K. Competition and Markets Authority (CMA) implemented a “hold separate” order, which required Salesforce and Tableau to operate separately, pending a review. The CMA lifted this order at the end of November 2019. As a result, product and company integration plans were not developed and available to share with Gartner in time for consideration for this Magic Quadrant. As such, representing the joined offering as one entity was not warranted, nor would it be useful to readers at this point. Salesforce and Tableau are therefore represented separately in this Magic Quadrant.
StrengthsCautionsThoughtSpotThoughtSpot is a Leader in this Magic Quadrant. Its innovative search-first approach remains attractive and continues to be emulated, but its differentiation is becoming slim.
ThoughtSpot differentiates itself with its search-based interface, which supports analytically complex questions with augmented analytics at scale.
In 2019, ThoughtSpot raised an additional $248 million in Series E funding, to bring its total venture capital investment to $554 million. During the year, it deepened its augmented analytics capabilities, introduced new AI-driven crowdsourced-driven recommendations, and added new autonomous monitoring of business metrics. Importantly, ThoughtSpot also added an in-database query option, initially for Snowflake and subsequently for Amazon Redshift, Google BigQuery and Microsoft Azure Synapse.
StrengthsCautionsTIBCO SoftwareTIBCO Software is a Challenger in this Magic Quadrant for the first time. Although extremely strong and mature functionally and in terms of delivery, it lacks momentum outside its installed base.
TIBCO Spotfire offers strong capabilities for analytics in dashboards, interactive visualization, data preparation and workflow. Spotfire’s “A(X)” represents an augmented, focused approach that enables Spotfire users to use data science techniques, geo-analytics or real-time streaming data in easily consumable forms, such as NLQ and NLG, and automatically suggested visualizations.
Over half the Spotfire installed base is already using Spotfire X (version 10.0) or newer. Since the release of Spotfire X in 2018, TIBCO has continued to expand the breadth of capabilities within this platform. The latest versions of Spotfire add support for Python, additional augmented ABI features, and the power of TIBCO’s native real-time streaming to the Spotfire web client.
StrengthsCautionsYellowfinYellowfin is a Visionary in this Magic Quadrant for the first time. Although a small and geographically limited vendor, its product innovation is among the strongest in the market, as it extends beyond augmentation.
Yellowfin began as a vendor of a web-based BI platform for reporting and data visualization, but has expanded to include data preparation and, since 2018, augmented analytics.
In 2019, Yellowfin enhanced the time series and relevancy capabilities of its augmented functionality, launched a new mobile app, and added support for embedded workflows.
StrengthsCautionsVendors Added and Dropped 添加和删除的供应商We review and adjust our inclusion criteria for Magic Quadrants as markets change. As a result of these adjustments, the mix of vendors in any Magic Quadrant may change over time. A vendor’s appearance in a Magic Quadrant one year and not the next does not necessarily indicate that we have changed our opinion of that vendor. It may be a reflection of a change in the market and, therefore, changed evaluation criteria, or of a change of focus by that vendor.
AddedDropped

Inclusion and Exclusion Criteria 选入和去除标准

This year’s Magic Quadrant features 22 vendors, which met all the inclusion criteria described below.今年的象限图有22家供应商，它们符合下面描述的所有包含标准。
A tiered process was used to select which vendors would be included. The approach used to determine inclusion was based on a funnel methodology whereby requirements for a tier must be met in order to progress to the next tier.使用分层过程来选择将包括哪些供应商。用于确定是否包括在内的方法是基于漏斗法，即必须满足一个层次的要求，才能进入下一个层次。

Tier 1 — market traction: A vendor’s market traction was evaluated using a composite metric. The metric comprised internal Gartner data, vendor-supplied data and other external sources of information to assess the level of market interest in, and the momentum of, each vendor and its modern ABI platform. Inputs included:.第1层 — 市场牵引力：供应商的市场牵引力是用综合指标来评估的。该指标包括内部Gartner数据、供应商提供的数据和其他外部信息源，以评估市场对每个供应商及其现代ABI平台的兴趣程度和发展势头。输入包括：



Tier 2 — product fit: Only products that met Gartner’s definition of a modern ABI platform were considered for inclusion..第2层— 产品匹配度：只有符合Gartner对现代ABI平台定义的产品才被纳入考虑范围。

Product fit was evaluated by Gartner analysts based on responses to an RFP and a demonstration video submitted by vendors.Gartner分析师根据对RFP的响应和供应商提交的演示视频对产品的适合性进行了评估。

Tier 3 — product deployments: Vendors were asked to identify reference customers who could demonstrate production deployments of their modern ABI platform for at least 100 users.第3层-产品部署：供应商被要求确定可以为至少100个用户演示其现代ABI平台的生产部署的参考客户。

Note: Vendors whose formal acquisition was completed after 31 July 2019 are considered separate entities from their acquirers in this Magic Quadrant.
Note: Gartner had full discretion to include in this Magic Quadrant a vendor (or vendors) which it deemed important to the market, regardless of that vendor’s level of participation in the Magic Quadrant process. This discretion was not exercised this year, because all vendors participated fully in the process.
Evaluation CriteriaAbility to Execute 执行能力评价标准
Gartner assesses each vendor’s ability to make its vision a market reality that customers will regard as differentiated and that they will be prepared to buy into. Gartner also assesses each vendor’s success in actually doing so. A vendor’s ability to deliver a positive customer experience — encompassing sales experience, support, product quality, user enablement, availability of skills, and ease of upgrade and migration — also influences its position on the Ability to Execute axis.Gartner评估了每个供应商使其愿景成为市场现实的能力，即客户将视其为与众不同的，并且他们将准备购买。Gartner还评估了每个供应商在实际操作中的成功。供应商提供积极客户体验的能力——包括销售体验、支持、产品质量、用户启用、可用性和易升级性和迁移性——也影响其在执行轴的能力方面的地位。

In addition to the opinions of Gartner analysts, the analysis in this Magic Quadrant reflects:除了Gartner分析师的意见外，此象限图中的分析还反映了：
The Ability to Execute criteria used in this Magic Quadrant are as follows:执行此象限图中使用的条件的能力如下：


Table 1: Ability to Execute Evaluation Criteria

Evaluation Criteria
Weighting
Product or Service
High
Overall Viability
High
Sales Execution/Pricing
Medium
Market Responsiveness/Record
High
Marketing Execution
Not Rated
Customer Experience
High
Operations
High

Source: Gartner (February 2020)

Completeness of Vision 愿景的完整性
Gartner assesses vendors’ understanding of how market forces can be exploited to create value for customers and opportunity for themselves. The Completeness of Vision assessments in this Magic Quadrant are based on the same sources described in the Ability to Execute section above.
The Completeness of Vision criteria used in this Magic Quadrant are as follows:
Table 2: Completeness of Vision Evaluation Criteria
Evaluation Criteria
Weighting
Market Understanding
High
Marketing Strategy
High
Sales Strategy
High
Offering (Product) Strategy
High
Business Model
Not Rated
Vertical/Industry Strategy
Low
Innovation
High
Geographic Strategy
Medium

Source: Gartner (February 2020)

Quadrant DescriptionsLeaders  领导者
Leaders demonstrate a solid understanding of the product capabilities and commitment to customer success that buyers in this market demand. They couple this understanding with an easily comprehensible and attractive pricing model that supports proof of value, incremental purchases and enterprise scale. In the modern ABI platform market, buying decisions are made, or at least heavily influenced, by business users who demand products that are easy to buy and use. They require these products to deliver clear business value and enable the use of powerful analytics by those with limited technical expertise and without upfront involvement from the IT department or technical experts. In a rapidly evolving market featuring constant innovation, Leaders do not focus solely on current execution. Each also ensures it has a robust roadmap to solidify its position as a market leader and thus help protect buyers’ investments. 领导者对产品能力有着深刻的理解，并致力于客户在这个市场上的成功。他们将这种理解与一个易于理解和有吸引力的定价模型结合起来，该模型支持价值证明、增量购买和企业规模。在现代ABI平台市场中，购买决策是由需要易于购买和使用的产品的商业用户做出的，或者至少受到了很大的影响。他们要求这些产品提供清晰的业务价值，并允许那些技术专业知识有限的人使用强大的分析，而无需IT部门或技术专家的预先参与。在一个不断创新的快速发展的市场中，领导者不仅仅关注当前的执行情况。它们还确保自己有一个稳健的路线图，巩固自己作为市场领导者的地位，从而有助于保护买家的投资。

Challengers  挑战者
Challengers are well-positioned to succeed in this market. However, they may be limited to specific use cases, technical environments or application domains. Their vision may be hampered by the lack of a coordinated strategy across various products in their platform portfolio. Alternatively, they may fall short of the Leaders in terms of effective marketing, sales channels, geographic presence, industry-specific content and innovation.挑战者完全有能力在这个市场上取得成功。但是，它们可能仅限于特定的用例、技术环境或应用程序域。他们的愿景可能会受到平台组合中不同产品之间缺乏协调策略的阻碍。或者，在有效的市场营销、销售渠道、地理位置、特定行业的内容和创新方面，他们也可能达不到领先者的水平。

Visionaries 远见者
Visionaries have a strong and unique vision for delivering a modern ABI platform. They offer deep functionality in the areas they address. However, they may have gaps when it comes to fulfilling broader functionality requirements or lower scores for customer experience, operations and sales execution. Visionaries are thought leaders and innovators, but they may be lacking in scale, or there may be concerns about their ability to grow and still provide consistent execution. 有远见的人有一个强大和独特的愿景，提供一个现代的ABI平台。它们在所涉及的领域提供了深层次的功能。然而，在满足更广泛的功能需求或降低客户体验、运营和销售执行分数方面，它们可能存在差距。远见卓识者是思想领袖和创新者，但他们可能缺乏规模，或者可能对他们的成长能力和持续执行能力感到担忧。

Niche Players 利基市场参与者
Niche Players do well in a specific segment of the market — such as financially oriented BI, customer-facing analytics, agile reporting and dashboarding, or embeddability — or have limited ability to surpass other vendors in terms of innovation or performance. They may focus on a specific domain or aspect of ABI, but are likely to lack deep functionality elsewhere. They may also have gaps in terms of broader platform functionality, or have less-than-stellar customer feedback. Alternatively, they may have a reasonably broad ABI platform but limited implementation and support capabilities or relatively limited customer bases (such as in a specific region or industry). In addition, they may not yet have achieved the necessary scale to solidify their market positions.利基市场参与者在特定的市场细分领域表现良好，如财务导向的商业智能、面向客户的分析、敏捷报告和仪表盘、或可嵌入性，或者在创新或性能方面超越其他供应商的能力有限。它们可能专注于ABI的特定领域或方面，但可能在其他地方缺乏深层功能。他们也可能在更广泛的平台功能方面存在差距，或者客户反馈不太好。或者，它们可能具有相当广泛的ABI平台，但实施和支持能力有限，或者客户基础相对有限（例如在特定地区或行业）。此外，它们可能还没有达到巩固市场地位的必要规模。

Context
This Magic Quadrant assesses vendors’ capabilities on the basis of their execution in 2019 and future development plans. As vendors and the market are evolving, the assessments may be valid for only one point in time.此象限图根据供应商在2019年的执行情况和未来的发展计划评估供应商的能力。随着供应商和市场的发展，评估可能只在一个时间点有效。
Readers should not use this Magic Quadrant in isolation as a tool for selecting vendors and products. Consider it as one reference point among the many required to identify the most suitable vendor and product. When selecting a platform, use this Magic Quadrant in combination with “Critical Capabilities for Analytics and Business Intelligence Platforms.”Also use Gartner’s client inquiry service.读者不应该单独使用这个象限图作为选择供应商和产品的工具。将其视为确定最合适的供应商和产品所需的众多参考点之一。在选择平台时，请将此幻方图与“分析和商业智能平台的关键功能”结合使用。还可以使用Gartner的客户查询服务。
Readers should not ascribe their own definitions of Completeness of Vision or Ability to Execute to this Magic Quadrant (they often incorrectly equate these with product vision and market share, respectively). The Magic Quadrant methodology uses a range of criteria to determine a vendor’s position, as shown by the extensive Evaluation Criteria section above. 读者不应将自己对愿景完整性或执行能力的定义归因于此象限图（他们常常错误地将其分别等同于产品愿景和市场份额）。幻方图方法使用一系列标准来确定供应商的位置，如上面广泛的评估标准部分所示。

Market Overview 市场概况
From a financial perspective, the market for modern, self-service ABI platforms continues to grow at speed, but slower than before. According to Gartner’s market share analysis, the market’s revenue grew by 22.3% in 2018, compared with 35.0% in 2017. Pricing pressure and strong competition were broadly responsible for this deceleration. See “Market Share Analysis: Analytics and BI Software, Worldwide, 2018.”
But although spending is growing more slowly than before, the number of people using ABI platforms is accelerating massively. Microsoft alone now has millions of users around the world using its Power BI cloud service, which was launched just five years ago. The huge increase in user numbers is because the price per user is a fraction of what it was a decade ago.
2019 was a year of transition toward cloud ecosystem dominance. The rapid growth of the Microsoft Azure-based Power BI cloud service, along with Salesforce’s acquisition of Tableau and Google’s purchase of Looker, signaled a change whereby cloud stacks are now expected to come with a competitively priced ABI platform (see “Recent Acquisitions Signal Big Changes to the Analytics and Business Intelligence Platform Market”). Of course, along with this transition comes a natural concern about lock-in. The balancing factors here are vendors’ attitudes toward, and implementation of, openness in their stacks and the growing importance of “multicloud” approaches, whereby customers can choose to run an application in, and spanning, multiple cloud IaaS offerings.
The move to cloud platform as a service (PaaS)-aligned ABI as a norm is impacting how nonaligned vendors are positioning their offerings and competing. Two main strategies are emerging. The first is to open previously closed products in order to minimize competition with almost ubiquitous ABI tools (such as MicroStrategy’s connectors for Microsoft Power BI, Qlik Sense and Tableau). The second is to focus on finding specific market segments and matching offerings to their needs.
Within the field of ABI there is effectively a submarket for embedded ABI. It has a different set of key buyers, namely software developers and product managers. Gartner considers embedded ABI an important use case as organizations want to create extranet applications, monetize data, and provide ABI as part of overall business applications. These applications may reach beyond internal stakeholders to include customers, suppliers and citizens. Independent software vendors also consider embedded ABI capabilities increasingly important. For some vendors, the embedded use case represents their primary market; this is the case with Logi Analytics. For other vendors, it is a smaller focus, but nevertheless represents a new battleground requiring specific pricing models and improved APIs.
Evidence
Gartner’s analysis in this Magic Quadrant is based on a number of sources:
Online Survey for This Magic Quadrant
An online survey was developed by Gartner as part of its research for this Magic Quadrant. Vendor-identified reference customers — end-user customers and OEMs — provided responses.
The survey was conducted in September and October 2019. It gathered 467 responses, with a minimum of 10 responses per vendor.
Although these responses represent a good size of pool from which to draw directional inferences, data from reference customers is not representative of the total ABI platform market. Rather, it is representative of the customers who elected to participate in the survey.
Gartner Peer Insights
Gartner Peer Insights reviews were considered for metrics relating to operations (service and support, and quality of technical support), sales experience (pricing and contract flexibility) and market responsiveness (value received). We considered reviews for modern ABI platform products posted from 1 October 2018 through 1 October 2019.
Evaluation Criteria Definitions
Ability to ExecuteProduct/Service: Core goods and services offered by the vendor for the defined market. This includes current product/service capabilities, quality, feature sets, skills and so on, whether offered natively or through OEM agreements/partnerships as defined in the market definition and detailed in the subcriteria.
Overall Viability: Viability includes an assessment of the overall organization's financial health, the financial and practical success of the business unit, and the likelihood that the individual business unit will continue investing in the product, will continue offering the product and will advance the state of the art within the organization's portfolio of products.
Sales Execution/Pricing: The vendor's capabilities in all presales activities and the structure that supports them. This includes deal management, pricing and negotiation, presales support, and the overall effectiveness of the sales channel.
Market Responsiveness/Record: Ability to respond, change direction, be flexible and achieve competitive success as opportunities develop, competitors act, customer needs evolve and market dynamics change. This criterion also considers the vendor's history of responsiveness.
Marketing Execution: The clarity, quality, creativity and efficacy of programs designed to deliver the organization's message to influence the market, promote the brand and business, increase awareness of the products, and establish a positive identification with the product/brand and organization in the minds of buyers. This "mind share" can be driven by a combination of publicity, promotional initiatives, thought leadership, word of mouth and sales activities.
Customer Experience: Relationships, products and services/programs that enable clients to be successful with the products evaluated. Specifically, this includes the ways customers receive technical support or account support. This can also include ancillary tools, customer support programs (and the quality thereof), availability of user groups, service-level agreements and so on.
Operations: The ability of the organization to meet its goals and commitments. Factors include the quality of the organizational structure, including skills, experiences, programs, systems and other vehicles that enable the organization to operate effectively and efficiently on an ongoing basis.
Completeness of VisionMarket Understanding: Ability of the vendor to understand buyers' wants and needs and to translate those into products and services. Vendors that show the highest degree of vision listen to and understand buyers' wants and needs, and can shape or enhance those with their added vision.
Marketing Strategy: A clear, differentiated set of messages consistently communicated throughout the organization and externalized through the website, advertising, customer programs and positioning statements.
Sales Strategy: The strategy for selling products that uses the appropriate network of direct and indirect sales, marketing, service, and communication affiliates that extend the scope and depth of market reach, skills, expertise, technologies, services and the customer base.
Offering (Product) Strategy: The vendor's approach to product development and delivery that emphasizes differentiation, functionality, methodology and feature sets as they map to current and future requirements.
Business Model: The soundness and logic of the vendor's underlying business proposition.
Vertical/Industry Strategy: The vendor's strategy to direct resources, skills and offerings to meet the specific needs of individual market segments, including vertical markets.
Innovation: Direct, related, complementary and synergistic layouts of resources, expertise or capital for investment, consolidation, defensive or pre-emptive purposes.
Geographic Strategy: The vendor's strategy to direct resources, skills and offerings to meet the specific needs of geographies outside the "home" or native geography, either directly or through partners, channels and subsidiaries as appropriate for that geography and market.
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