Latest news with #Fabric
Time of India
4 days ago
- Automotive
- Time of India
How to download mods in RoadCraft
Image via Focus Entertainment Roadcraft has obtained its popularity for its massive open-world driving experience, offering players a blend of realistic vehicle control and exploration. One of the best ways to increase and enjoy this experience is by adding mods, community-made add-ons that bring fresh content such as vehicles, maps, and visual upgrades. If you are looking to enhance the gameplay or modify features, installing mods can significantly improve your time in Roadcraft. This guide will walk you through the process of downloading and installing mods safely in Roadcraft. Step-by-Step Guide to Installing RoadCraft Mods RoadCraft ● How To Connect And Link To A PROS Account For Mods Downloading mods in Roadcraft opens up a whole new world of possibilities, but it's important to note it with care. 1. Get ready to install the mods. Make sure your system supports modding: Check the game version: Mods sometimes work with specific versions of Roadcraft; make sure you are using the latest version of it. Back up your game: Backing up your game always helps you prevent data loss of game files. Install required tools: Some mods need mod loaders like Forge or Fabric to run properly. 2. Choose safe mod sources. Always download mods from a trusted source on platforms to avoid any malware damage to your game or device. Recommended sources include RoadCraft's official forums or Discord channels Reputable websites like CurseForge, ModDB, or Nexus Mods These platforms also offer us users reviews and ratings, which can make the mods more reliable and well-supported. 3. Download the Mod File Follow these steps for downloading: Navigate to the chosen mod's page. Read the mod description and installation instructions. Click the download button and save the file to a location you know. 4. Install the Mod Installation depends on the mod type: Compressed files (zip or .rar): Extract contents into the RoadCraft mods folder. For (.exe files): Run the installer and follow on-screen prompts. For mod loaders: Place the mod files into the designated mods folder. 5. Launch RoadCraft and verify After installation: Launch RoadCraft and look for new mod activation in settings. Start a new game or load a save to ensure everything is running smoothly. If there are any issues, try consulting the mod's instructions or removing the mod from the specific folder. Adding mods in Roadcraft is a great way to enjoy your gaming experience and try out new content that the game does not provide. With a bit of knowledge and attention, the installation of the mod is safe and simple. Just make sure you are downloading from a trusted source with user reviews and ratings, and do make sure you are following the instructions carefully and carefully backing up your saved files to keep your gameplay running smoothly. Get IPL 2025 match schedules , squads , points table , and live scores for CSK , MI , RCB , KKR , SRH , LSG , DC , GT , PBKS , and RR . Check the latest IPL Orange Cap and Purple Cap standings.
Bloomberg
21-05-2025
- Business
- Bloomberg
Microsoft Touts Sales in Competition With Snowflake, Databricks
Microsoft Corp. said its data-focused product, Fabric, is rapidly picking up customers in competition with rivals including Snowflake Inc. and Databricks Inc. 'We have seen very broad adoption of Fabric — 21,000 organizations around the planet in 18 months since general availability,' Arun Ulag, who leads data products at Microsoft, said in an interview.
Business Wire
14-05-2025
- Business
- Business Wire
Informatica Unveils New Innovations with Microsoft Fabric and Microsoft Azure OpenAI Service Enabling Trusted Data for Analytics and AI
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced significant advancements to deepen its collaboration with Microsoft. The announcements were made at Informatica World, the company's annual data management and AI conference held in Las Vegas. 'As enterprises increasingly rely on data to fuel their analytics and GenAI initiatives, data quality and governance, along with copilot experiences, become critical for successful business outcomes," said Krish Vitaldevara, Chief Product Officer at Informatica."By integrating our cloud data management capabilities directly into Microsoft Fabric, and building CLAIRE® Copilots leveraging Azure OpenAI Service, we're empowering business users to build enterprise grade analytics and AI applications.' Today, Informatica unveils three critical innovations that enable trusted data for analytics and AI initiatives: Informatica's Data Quality Native Application for Microsoft Fabric: Informatica unveils the public preview of its Data Quality native application for Microsoft Fabric. With the Microsoft Fabric native application integration, Fabric users are now empowered to profile and cleanse data directly within the Fabric environment. With this seamless integration users can benefit from a single sign-on between Informatica and Microsoft Fabric environments. Users can now leverage the capabilities of Informatica's Intelligent Data Management Cloud™ by ingesting data from 300-plus enterprise sources to Microsoft Fabric endpoints and run data profiles within Microsoft Fabric to analyze data schemas, assess completeness, conformity and consistency of data sets. To build on the collaboration with Microsoft Fabric, Informatica is also announcing support for Iceberg Open Table support for Microsoft Fabric. Informatica's Master Data Management Extensions for Microsoft Fabric: Informatica's multi-domain Master Data Management (MDM) extensions empower organizations to consolidate key master and transactional data from multiple sources into Microsoft Fabric. These extensions support the development of analytics and AI applications grounded in trusted, high-quality mastered data across key domains. With the MDM extensions for Microsoft Fabric, users can now leverage out-of-the-box, pre-built integration assets to expedite data onboarding and effortlessly replicate comprehensive master data models, including customer, product, supplier, location, and more, into Microsoft Fabric. The accelerated deployment reduces the time to onboard high-quality mastered data into Microsoft Fabric from weeks to minutes, providing trusted business insights faster. Informatica's Master Data Management Extensions for Microsoft Fabric are now generally available. CLAIRE Copilot for Data Integration and Cloud Application Integration: Copilots are a key user interface for AI, and CLAIRE Copilot is a trusted AI assistant for data professionals to augment their skills and knowledge with support for responsible AI, security and the ability to manage data with trust across the data estate. CLAIRE Copilot is built with Azure OpenAI Service for conversational/summarization assistance, use case classification, field mappings and query generation. It also uses Informatica's hosted Open Source LLMs for automating business processes and tasks associated with data and application integration - increasing productivity and enabling faster time to insights. CLAIRE Copilot is now generally available. 'As a customer-oriented business, trusted data is the backbone of Regal Rexnord's experiences and operational excellence," said Timothy Dickson, Chief Digital & Information Officer at Regal Rexnord. "Informatica and Microsoft are trusted partners that have unified our data ecosystem on Azure, making it easy for us to adopt AI initiatives and make smarter, data-driven decisions that delight our customers and benefit our business." "Microsoft Fabric is one of our fastest-growing analytics solutions since its availability in November 2023," said Arun Ulagaratchagan, Corporate Vice President, Azure Data at Microsoft. "Informatica's deep integration with Microsoft Fabric brings enterprise-grade data management capabilities to our shared customers, empowering them to derive greater value from their data for analytics and AI initiatives." About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access governed data, simplify operations and scale with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation.
Yahoo
13-05-2025
- Business
- Yahoo
Big Data Analytics Market to Reach Valuation of US$ 1,112.57 Billion by 2033
Big data analytics demand surges as healthcare, finance, and manufacturing sectors prioritize AI-driven insights. 80% of enterprises increased analytics budgets by 35% in 2024, focusing on regulatory compliance and vertical-specific solutions. Chicago, May 13, 2025 (GLOBE NEWSWIRE) -- The global big data analytics market was valued at US$ 326.34 billion in 2024 and is expected to reach US$ 1,112.57 billion by 2033, growing at a CAGR of 14.50% during the forecast period 2025–2033. As of 2024, the big data analytics market is bifurcated into domain-specific platforms (39% of revenue) and horizontal cloud-native tools (53%), with the remainder split between legacy on-premise solutions. Microsoft leads in hybrid deployments via Azure's edge-to-cloud Fabric platform, which supports 220+ regulatory frameworks (e.g., EU AI Act, China's DSL), capturing 28% of healthcare and manufacturing clients. On the other hand, AWS retains SMB dominance (47% market share <$1B revenue firms) through Redshift's $0.25/GB serverless pricing—32% cheaper than Snowflake. However, industry-focused vendors are gaining momentum: Palantir's AIP added 140 defense/space contracts in 2024 by embedding PHI/PII anonymization into federated analytics workflows, while Veeva Systems' clinical trial analytics platform grew 55% YoY by solving FDA's 2024 requirement for real-time AE/SAE reporting. Download Sample Pages: The big data analytics market is set to grow at a CAGR of 14.50% through 2033 (vs. 14.8% pre-2024), driven by AI-driven verticalization and regulatory complexity. Astute Analytica predicts 75% of enterprises will adopt PETs (privacy-enhancing tech) by 2025, with tools like Google's Confidential Space (homomorphic encryption) expected to reduce cloud analytics breach risks by 59%. Edge analytics will surge in heavy industries—Astute Analytica's research forecasts oil/gas investment in edge ML ops to hit $4.2B by 2025 (up from $1.7B) to preprocess sensor data, avoiding $12/hour per rig cloud transfer costs. Geopolitical tensions will splinter tech stacks: 71% of APAC firms now dual-source analytics tools (e.g., Alibaba Cloud + Databricks) to comply with China's cross-border data rules. Meanwhile, sustainability mandates will fuel demand for carbon-aware analytics. Startups like Watershed, which embed emission factors into Snowflake queries, grew 340% in 2024 as 29% of S&P 500 firms now tie ESG metrics to executive pay. Key Findings in Big Data Analytics Market Market Forecast (2033) US$ 1,112.57 billion CAGR 14.50% Largest Region (2024) North America (35%) By Component Software (70%) By Deployment Type Cloud-Based (61%) By Application Data Discovery (25%) Top Drivers Stricter AI ethics compliance mandates amid global regulatory fragmentation Demand for vertical, industry-specific predictive analytics over horizontal tools Edge-to-cloud latency reduction in IoT-driven real-time decision automation Top Trends Privacy-enhancing technologies (PETs) enabling cross-company data collaboration without exposure Decision intelligence platforms embedding causal AI and process mining Carbon-aware analytics tools integrating GHG protocols into cloud workflows Top Challenges Talent hybrid shortages (MLOps + domain expertise) delaying ROI timelines Rising costs of sovereign data storage and cross-border compliance Dynamic model drift in generative AI requiring continuous recalibration costs Generative AI Transforms Predictive Modeling with Multi-Modal Data Fusion The integration of generative AI in the big data analytics market is enabling enterprises to synthesize structured, unstructured, and real-time data streams. In 2024, advancements in multi-modal AI models allow companies like Walmart to combine satellite imagery, point-of-sale data, and customer foot traffic patterns to optimize store layouts, resulting in a 12% increase in per-customer revenue (Forbes, 2024). Financial institutions such as HSBC are using these models to simulate market shocks by blending historical trading data with geopolitical event logs, improving risk mitigation strategies by 24%. However, enterprises in the big data analytics market face challenges in managing "AI drift," where models degrade due to evolving data patterns. A 2024 MIT-Cognizant study found that 41% of generative AI deployments require monthly retraining to maintain accuracy. Pharma giant Roche addresses this by embedding real-time patient trial feedback loops into its drug discovery analytics, reducing model recalibration cycles from 30 to 7 days. Vendors like Databricks are also launching MLOps pipelines tailored for generative AI, automating 35% of maintenance workflows through anomaly detection. Data Privacy-as-a-Service Emerges to Navigate Global Compliance Complexity The big data analytics market is witnessing a surge in Privacy-Enhancing Technologies (PETs) as regional regulations fragment data governance standards. With Brazil's LGPD and India's DPDP Act (2023) imposing strict localization mandates, tools like AWS Clean Rooms grew by 89% YoY by enabling secure cross-company data collaboration. A 2024 survey found that 67% of enterprises now use homomorphic encryption for analytics, allowing computations on encrypted data without decryption. For example, Visa processes transaction fraud analysis across 40 markets without exposing raw data, reducing breach risks by 52%. Startups like Duality Technologies are advancing 'privacy-preserving AI' frameworks, which let firms train models on combined datasets from competitors in regulated sectors like insurance. Zurich Insurance Group used this to pool anonymized claims data with rivals, improving actuarial accuracy by 18% without violating antitrust laws. However, PET adoption is hindered by 30–40% higher compute costs, pushing vendors to develop hybrid quantum-classical encryption solutions for cost efficiency. Edge-to-Cloud Hybrid Architectures Address Latency and Data Sovereignty Demands The exponential growth of IoT devices and 5G connectivity is forcing enterprises in the big data analytics market to adopt hybrid edge-cloud analytics frameworks. In 2024, 62% of manufacturers now deploy edge nodes to preprocess raw sensor data on-premises, reducing cloud data transfer costs by 41% while complying with strict data residency laws. For example, Chevron's oil rigs in the North Sea use AWS Snowcone edge devices to analyze drilling telemetry in real time, cutting decision latency from 90 seconds to 0.8 seconds and preventing $3.8M/year in unplanned downtime. Meanwhile, retailers like Target use edge AI to process in-store camera feeds locally for inventory tracking, avoiding GDPR risks by retaining sensitive footage on-premises. However, hybrid models intensify integration complexity in the big data analytics market. A 2024 S&P Global survey found that 58% of firms struggle to unify edge/cloud metadata schemas, leading to fragmented insights. Snowflake's launch of Unistore, a transactional-analytical hybrid platform, helps firms like FedEx query live edge logistics data alongside cloud-stored shipping histories, improving route optimization by 19%. Vendors are also prioritizing edge-native tools: Microsoft's Azure Synapse Edge now allows SQL queries on streaming data, reducing dependence on centralized clouds. Key trends suggest that edge maturity will define 2025's competitive landscape as 5G-Advanced enables sub-50ms analytics for autonomous systems. Healthcare Big Data Platforms Navigate Privacy-Preserving Innovation Big data analytics adoption in healthcare surged by 34% in 2024 across the global big data analytics market, driven by mandates to reduce diagnostic errors and operational costs. Mayo Clinic's partnership with Google Cloud utilizes federated learning to train cancer detection models on 10M+ global patient records without sharing raw data, improving accuracy by 27% while maintaining HIPAA compliance. Similarly, Babylon Health's AI triage tool, analyzing 500K+ patient transcripts daily, reduced misdiagnoses in UK clinics by 22% (The Lancet). However, interoperability remains a bottleneck: 68% of U.S. providers (HIMSS 2024) report siloed EHR systems that delay analytics ROI by 9–14 months. Some of the startups in the big data analytics market like Syapse leverage HL7 FHIR APIs to harmonize oncology data across 150+ hospitals, enabling precision treatment roadmaps. Pharma giants are also innovating: AstraZeneca's clinical trial platform uses graph analytics to map patient biomarkers against genetic databases, cutting trial recruitment time from 18 to 6 months. Nevertheless, ethical concerns persist. MIT's 2024 audit of AI diagnostic tools found racial bias in 33% of radiology models, prompting vendors like Aidoc to introduce bias-detection SDKs. With FDA's 2024 AI/ML validation guidelines tightening, healthcare analytics vendors must balance innovation with algorithmic accountability. Ethical AI Audits Reshape Vendor Strategies in High-Stakes Sectors in the Big Data Analytics Market As regulators scrutinize AI ethics, enterprises demand transparent big data workflows. Forrester reports that 71% of financial firms now use third-party tools like IBM's Watson OpenScale to audit credit scoring models for racial/gender bias, aligning with the EU's AI Act. JPMorgan's 2024 audit of its mortgage approval algorithm revealed a 14% disparity in approval rates for minority applicants, prompting a model recalibration that increased approvals by $240M annually. Similarly, Unilever's HR analytics platform, powered by SAP SuccessFactors, underwent ESG compliance checks to eliminate demographic skew in hiring algorithms. Vendor differentiation in the big data analytics market now hinges on ethical frameworks. Salesforce integrated 'Ethics by Design' into Tableau CRM, auto-flagging biased customer segmentation patterns, which reduced churn among marginalized groups by 18% for users like Comcast. Startups like Credo AI offer 'nutrition labels' for analytics models, detailing training data sources and fairness metrics. However, audits slow deployment: Gartner finds compliance reviews delay 45% of AI projects by 4–6 months. To offset costs, AWS launched a pre-audited analytics service in 2024, offering vetted ML templates for regulated industries like insurance. The market is tilting toward vendors that bake ethics into analytics pipelines rather than treat it as an add-on. Democratization Tools Clash with Governance Needs in Self-Service Analytics No-code platforms across the global big data analytics market like Power BI and Qlik dominate the $14B self-service analytics market (Gartner 2024), enabling non-technical teams to generate insights 4x faster. Nestlé's marketing team uses ChatGPT-integrated Power BI to create campaign performance dashboards in 2 hours (down from 3 days), linking social media sentiment with sales data. However, 'shadow analytics' is rising: 41% of employees (Deloitte) bypass IT governance to use unauthorized tools, risking data leaks. For example, a 2024 breach at exposed 190K records after a sales analyst uploaded customer data to an uncertified freemium tool. Vendors in the big data analytics market are responding with embedded governance. Alteryx's 2024 update auto-tags PII in user-generated dashboards and blocks exports to unsecured platforms—adopted by 63% of financial firms to mitigate compliance risks. Meanwhile, Databricks' Unity Catalog provides lineage tracking for self-service queries, letting admins trace discrepancies to their source. Training is also critical: Cisco's Data Literacy Program upskilled 12K employees in data ethics, reducing governance violations by 82%. As generative AI makes analytics creation effortless, enterprises must prioritize governance without stifling agility. Need Custom Data? Let Us Know: Big Data Analytics Market Competitive Analysis The big data analytics market remains fiercely contested, with Microsoft, AWS, and Google Cloud collectively holding 58% market share. Microsoft's growth surged 23% YoY, driven by Azure Synapse Analytics and Fabric, which unify enterprise data lakes, AI, and BI tools. Its strategy targets Fortune 500 firms with hybrid cloud solutions—58% of its analytics revenue now comes from regulated sectors like healthcare and government. AWS, while lagging in AI-first tools, retains dominance via Redshift's serverless architecture and strategic partnerships (e.g., Databricks, Snowflake), serving 52% of mid-market firms. Google Cloud narrowed the gap with Vertex AI's multimodal capabilities, attracting 34% more retail clients in 2024 by integrating analytics with real-time inventory optimization. Snowflake, despite slower growth (18% YoY), expanded its healthcare and financial services footprint with Healthcare Data Cloud and vertical-specific LLMs, now serving 8,870+ global enterprises, including 60% of the Fortune 100. Niche players like Palantir and Cloudera differentiate through precision. Palantir's AIP for Big Data leverages federated analytics for defense and pharma clients, securing 28 new U.S. DoD contracts in 2024. Cloudera, focusing on hybrid data governance, grew its manufacturing base by 41% with CDP's edge-to-cloud kits. However, Oracle and IBM struggle: Oracle's MySQL HeatWave (70% faster queries than rivals) boosted SMB adoption but lags in enterprise AI integration. IBM's lost traction due to limited LLM compatibility, though its consulting arm retains 11,000+ analytics clients. Meanwhile, SAP and Salesforce embed industry analytics into ERP/CRM workflows—SAP's Datasphere now processes 50% of its clients' operational data. Vendors face mounting pressure to bundle analytics with ethical AI audits and sovereign cloud options as European and APAC regulators tighten compliance. Success hinges on vertical specialization and seamless human-AI collaboration tools. Global Big Data Analytics Market Key Players: IBM Corporation SAP SE SAS Institute Inc. Microsoft Corporation FICO Oracle Corporation Salesforce Inc. Google LLC Kinaxis Inc Hewlett Packard Enterprise Datameer Sage Clarity Systems Other Prominent Players Key Segmentation: By Component Hardware Software Services By Deployment Type Cloud-Based On-Premises Hybrid By Organization Size Large Enterprises Small and Medium-Sized Enterprises (SMEs) By Application Customer Analytics Data Discovery Advanced Analytics Data Visualization HR Analytics Financial Analytics Others By Industry Vertical BFSI Healthcare and Life Sciences Retail and Consumer Goods Manufacturing Energy and Utilities Government Transportation and Logistics Others By Region North America Europe Asia Pacific Middle East & Africa (MEA) South America Have Questions? Reach Out Before Buying: About Astute Analytica Astute Analytica is a global market research and advisory firm providing data-driven insights across industries such as technology, healthcare, chemicals, semiconductors, FMCG, and more. We publish multiple reports daily, equipping businesses with the intelligence they need to navigate market trends, emerging opportunities, competitive landscapes, and technological advancements. With a team of experienced business analysts, economists, and industry experts, we deliver accurate, in-depth, and actionable research tailored to meet the strategic needs of our clients. At Astute Analytica, our clients come first, and we are committed to delivering cost-effective, high-value research solutions that drive success in an evolving marketplace. Contact Us:Astute AnalyticaPhone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World)For Sales Enquiries: sales@ Follow us on: LinkedIn | Twitter | YouTube CONTACT: Contact Us: Astute Analytica Phone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World) For Sales Enquiries: sales@ Website: in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
13-05-2025
- Business
- Business Wire
German Enterprises Deploy Microsoft AI, Uncertain of ROI
FRANKFURT, Germany--(BUSINESS WIRE)--Enterprises in Germany are increasing their investments in Microsoft AI tools and services despite uncertainties about how these technologies will pay off, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm. Microsoft is surging forward in AI, and German enterprises want to benefit from its innovation. Service providers with proven AI use cases and extensive experience are essential for successful implementations. The 2025 ISG Provider Lens™ Microsoft AI and Cloud Ecosystem report for Germany finds strong enterprise interest in AI and generative AI, which Microsoft is aggressively promoting in its cloud platforms. German organizations, which place high priorities on automation and efficiency, are beginning to adopt Microsoft's AI offerings but remain cautious about the return on digital investments under challenging macroeconomic conditions. 'Microsoft is surging forward in AI, and German enterprises want to benefit from its innovation,' said Dr. Matthias Paletta, ISG technology modernization solution lead, EMEA. 'Service providers with proven AI use cases and extensive experience are essential for successful implementations.' Companies in Germany are rapidly adopting Microsoft's Copilot GenAI chatbot within the Microsoft 365 cloud-based application suite, ISG says. They seek immediate productivity gains through more efficient business processes, though these implementations have shown mixed results so far. Many enterprises have yet to achieve meaningful Copilot solutions that generate significant value. Companies are also increasing their use of Azure OpenAI services to accelerate automation and innovation. German enterprises are increasingly interested in deploying AI agents within Microsoft 365, ISG says. However, most are still at an early stage, lacking basic information and clear use cases for such deployments. Many service providers in Germany are still unprepared to comprehensively support the use of these agents by their clients. Demand is also rising in Germany for Microsoft's Fabric, Foundry and Purview IT infrastructure platforms, ISG says. Among other benefits, Fabric allows organizations to integrate diverse data environments into a consistent infrastructure, while Foundry enables more complex data analysis and Purview provides a transparent governance layer. Companies are deploying the systems together for an integrated solution with high data security and efficient data utilization. Microsoft emphasizes that the platforms can substantially reduce regulatory risk, a promise that resonates with German customers. Despite strong demand for Microsoft platforms, many German companies are taking steps to control cloud costs, the report says. They are gradually adopting powerful FinOps approaches as AI services increase cloud and AI resource use. Enterprises are also concerned about Microsoft's complex pricing structures as macroeconomic uncertainty grows. 'Licensing is a significant pain point for companies in Germany and elsewhere,' said Jan Erik Aase, partner and global leader, ISG Provider Lens Research. 'Qualified service providers can help enterprises implement systems to understand and control licensing costs.' The report also explores other Microsoft ecosystem trends in Germany, including the growing popularity of multi-cloud environments and the possibility of capacity bottlenecks affecting cloud-based AI computing power. For more insights into the Microsoft-related challenges facing enterprises in Germany, plus ISG's advice for addressing those challenges, see the ISG Provider Lens™ Focal Points briefing here. The 2025 ISG Provider Lens™ Microsoft AI and Cloud Ecosystem report for Germany evaluates the capabilities of 66 providers across seven quadrants: Managed Services for Azure — Large Accounts, Managed Services for Azure — Midmarket, Microsoft 365 Services — Large Accounts, Microsoft 365 Services — Midmarket, Power Platform Services, AI Services for Microsoft Clouds and Dynamics 365 Services. The report names Arvato Systems, Atos and Deutsche Telekom as Leaders in five quadrants each and glueckkanja as a Leader in four quadrants. It names Accenture & Avanade, Bechtle, Capgemini, PwC, Skaylink, T-Systems and Wipro as Leaders in three quadrants each. Allgeier, Communardo, Computacenter, DATAGROUP, Devoteam M Cloud, DIGITALL, ORBIT IT-Solutions, Rackspace Technology and SoftwareOne are named as Leaders in two quadrants each. The report names adesso, All for One Group, AppSphere, CANCOM, Data One, DXC Technology, HCLTech, Infosys, KUMAVISION, Kyndryl, NTT DATA, Scheer, Sopra Steria, Sycor, Syntax and TCS as Leaders in one quadrant each. In addition, ACP, adesso, DATAGROUP, Kyndryl, LTIMindtree and Skaylink are named as Rising Stars — companies with a 'promising portfolio' and 'high future potential' by ISG's definition — in one quadrant each. In the area of customer experience, HCLTech is named the global ISG CX Star Performer for 2025 among Microsoft ecosystem providers. HCLTech earned the highest customer satisfaction scores in ISG's Voice of the Customer survey, part of the ISG Star of Excellence™ program, the premier quality recognition for the technology and business services industry. Customized versions of the report are available from DATAGROUP, glueckkanja, ORBIT IT-Solutions and Skaylink. The 2025 ISG Provider Lens™ Microsoft AI and Cloud Ecosystem report for Germany is available to subscribers or for one-time purchase on this webpage. About ISG Provider Lens™ Research The ISG Provider Lens™ Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage. About ISG ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world's top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.
