Table of Contents PART 01: Executive summary • Highlights PART 02: Scope of the report • Market overview • Geographical information • Vendor selection • Summation errors • Target audience • Recommended reading PART 03: Market research methodology • Research methodology • Economic indicators PART 04: Introduction • Key market highlights PART 05: Market landscape • Lifecycle of analytics • Lifecycle of visual analytics • Market size and forecast PART 06: Market segmentation by end-user • Global visual analytics market by end-user • CPG and retail • BFSI • Healthcare • Manufacturing • Others PART 07: Geographical segmentation • Global visual analytics market by geography • Americas • EMEA • APAC PART 08: Market drivers • Increase in adoption of visual analytics in industries • Accelerating data use in industries • Facilitates easy exploration of data for non-technical users PART 09: Impact of drivers PART 10: Market challenges • Emerging threat from open-source visual analytics tools • Excess of irrelevant information PART 11: Impact of drivers and challenges PART 12: Market trends • Growing demand for predictive analytics • Increased internet connectivity • Convergence with enterprise-level business analytics PART 13: Five forces model PART 14: Vendor landscape • Competitive scenario • Top-vendor offerings • Vendor matrix PART 15: Key vendor analysis • Competitive analysis • Vendor profiles PART 16: Prominent vendors PART 17: Appendix • List of abbreviations PART 18: Explore Technavio List of Exhibits Exhibit 01: Big data growth in volume 2015-2020 (exabytes) Exhibit 02: Major countries covered in market analysis Exhibit 03: Difference between traditional BI and visual analytics platforms Exhibit 04: Types of BI based on features Exhibit 05: Lifecycle of analytics Exhibit 06: Benefits of visual analytics Exhibit 07: Visual analytics Exhibit 08: Global visual analytics market 2015-2020 ($ billions) Exhibit 09: Global visual market by end-user 2015 (% share) Exhibit 10: Exhibit 10: IT spending by Brazil, Mexico, Argentina, and Chile 2014 and 2015 ($ billions) Exhibit 11: Monthly average revenue of telecom vendors per internet user in North America 2014-2019 ($) Exhibit 12: Global visual analytics market by geography 2015 and 2020 (%) Exhibit 13: Global visual market by geography 2015-2020 ($ billions) Exhibit 14: Visual analytics market in Americas 2015-2020 ($ billions) Exhibit 15: Visual analytics market in EMEA 2015-2020 ($ billions) Exhibit 16: Visual analytics market in APAC 2015-2020 ($ billions) Exhibit 17: Benefits of visual analytics in different industries Exhibit 18: Global data generation forecast 2015-2020 (in zettabytes) Exhibit 19: Impact of drivers Exhibit 20: Open-source visual analytics tools Exhibit 21: Impact of drivers and challenges Exhibit 22: Global predictive analytics market 2015-2020 ($ billions) Exhibit 23: Internet penetration by region in June 2016 (% population) Exhibit 24: Five forces model Exhibit 25: Vendors in global visual analytics market Exhibit 26: Products offerings Exhibit 27: Vendor matrix by features Exhibit 28: Vendor matrix by deployment model Exhibit 29: Vendor matrix by system requirements Exhibit 30: Vendor matrix by geographical presence Exhibit 31: Vendor analysis Exhibit 32: SAS: Product categories and description Exhibit 33: SAS: products and features Exhibit 34: Tableau Software: Products and their features Exhibit 35: Qlik: Products and their features Exhibit 36: SAP: Key products and features Exhibit 37: Microsoft: products and features Exhibit 38: Prominent vendors

Microsoft, SAS Institute, SAP, Tableau Software, QlikTech International, Arcadia Data, Alteryx, BeyondCore, Datameer, Datawatch, Logi Analytics, MicroStrategy, Oracle, OpenText (Actuate), Pentaho, Platfora, Sisense, Teradata, TIBCO Software.