The Computational Photography Market size is projected to reach US$ 58.18 Bn. by end of 2029, at a CAGR of 21.3%. The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region.To know about the Research Methodology :- Request Free Sample Report Computational Photography is used to capture high-resolution images, with use of digital computation method instead of using optical process. It makes of different algorithms such as tone mapping algorithms, deblurring algorithms, and matting algorithms to obtain high resolution and high-quality image. Increased application of software-based imaging technique in machine vision, growth in 4K pixel, and ultra HD technologies, increasing smartphone penetration, further encouraging the adoption of high-end smartphones with advanced cameras, increasing resolution and complexity of image sensors for better image quality, rising disposable incomes and enhanced standard of living are the major factors driving the growth of Computational photography market. However, high costs and low awareness about computational photography techniques are the key factors restraining market growth. Further key findings from the report: • From the application segment, Computational photography market for standalone camera is anticipated to grow at highest CAGR between 2017 and 2026. Major camera providers, such as Nikon (Japan) and Canon (Japan), are expected to enter into this market during the forecast period, this would further drive the growth of overall computational photography market • Single- and dual-lens cameras accounted for the largest share of computational photography market in 2016. Growth of dual-lens camera module in smartphones application is the key factor driving the growth of single- and dual-lens cameras market. The camera quality has a significant impact on smartphone buyers • North America accounted for the largest share of computational photography market among geographical regions. In terms of technological advancements, manufacturing operations, and infrastructure North America is considered as one of the fastest-growing markets for computational photography market. Presence of key players and start-ups in new camera technologies in US is contributing to the growth of market in this region • Among geographical regions, APAC is anticipated to surpass North America computational photography market during the forecast period. Countries in APAC such as China and Taiwan are leading this region in terms of leading smartphone manufacturers. Advancements in standalone camera segment in Japan, India, South Korea, and Singapore are expected to drive computational photography market in this region
Computational Photography Market Key Highlights:
• Analyzes competitive developments such as contracts, joint ventures, mergers & acquisitions, collaborations, product launches & developments, and research and development (R&D) in the Computational Photography Market • The objective of the report is to provide a detailed analysis of the Computational Photography Market on the basis of application, type, offering, and geography • Complete quantitative analysis of the industry from 2017 to 2026 to enable the stakeholders to capitalize on the prevailing market opportunities • In-depth analysis of the industry on the basis of market segments, market dynamics, market size, competition & companies involved value chain • Analysis of the Computational Photography Market with respect to individual growth trends, prospects, and contribution to the total market • Segment wise business performance detailed in report will be worthwhile for the organizations willing to enhance its business • Provides detailed information regarding the major factors influencing the growth of the Computational Photography Market (drivers, restraints, opportunities, and challenges) • This report would help stakeholders understand their competitors better and gain more insights to enhance their position in the businessComputational Photography Market Scope : Inquire before buying
Computational Photography Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2017 to 2022 Market Size in 2022: US $ 15.05 Bn. Forecast Period 2023 to 2029 CAGR: 21.3% Market Size in 2029: US $ 58.18 Bn. Segments Covered: by Application • Standalone Camera • Smartphone Camera • Machine Vision by Type • 16-Lens Cameras • Single- and Dual-Lens Cameras by Offering • Software • Camera Module Computational Photography Market, by Region
• North America (United States, Canada and Mexico) • Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) • Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) • Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) • South America (Brazil, Argentina Rest of South America)Computational Photography Market Key Players
• Alphabet • Apple • Qualcomm Technologies • Samsung Electronics • Nvidia • Lytro • Nikon • Canon • Sony • Light • HTC • Pelican Imaging • On Semiconductors • Almalence • Affinity Media • Xperi Frequently Asked Questions: 1. Which region has the largest share in Global Computational Photography Market? Ans: Asia Pacific region held the highest share in 2022. 2. What is the growth rate of Global Computational Photography Market? Ans: The Global Computational Photography Market is growing at a CAGR of 21.3% during forecasting period 2023-2029. 3. What is scope of the Global Computational Photography Market report? Ans: Global Computational Photography Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Computational Photography Market? Ans: The important key players in the Global Computational Photography Market are – Alphabet, Apple, Qualcomm Technologies, Samsung Electronics, Nvidia, Lytro, Nikon, Canon, Sony, Light, HTC, Pelican Imaging, On Semiconductors, Almalence, Affinity Media, Xperi 5. What is the study period of this Market? Ans: The Global Computational Photography Market is studied from 2022 to 2029.Available Customization
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Computational Photography Market
1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 1.4. Key Questions Answered 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations Used 2.3. Research Methodology 3. Executive Summary 3.1. Global Computational Photography Market Size, by Market Value (US$ Bn) and Market, by Region 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.3. Drivers and Restraints Snapshot Analysis 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.3.4. Porter’s Analysis 4.3.5. Value Chain Analysis 4.3.6. SWOT Analysis 5. Global Computational Photography Market Analysis and Forecast 5.1. Global Computational Photography Market Analysis and Forecast 5.2. Global Computational Photography Market Size& Y-o-Y Growth Analysis 5.2.1. North America 5.2.2. Europe 5.2.3. Asia Pacific 5.2.4. Middle East & Africa 5.2.5. Latin America 6. Global Computational Photography Market Analysis and Forecast, by Application 6.1. Introduction and Definition 6.2. Key Findings 6.3. Global Computational Photography Market Value Share Analysis, by Application 6.4. Market Size (US$ Bn) Forecast, by Application 6.5. Global Computational Photography Market Analysis, by Application 6.6. Computational Photography Market Attractiveness Analysis, by Application 7. Global Computational Photography Market Analysis and Forecast, by Type 7.1. Introduction and Definition 7.2. Global Computational Photography Market Value Share Analysis, by Type 7.3. Market Size (US$ Bn) Forecast, by Type 7.4. Global Computational Photography Market Analysis, by Type 7.5. Global Computational Photography Market Attractiveness Analysis, by Type 8. Global Computational Photography Market Analysis and Forecast, by Offering 8.1. Introduction and Definition 8.2. Global Computational Photography Market Value Share Analysis, by Offering 8.3. Market Size (US$ Bn) Forecast, by Offering 8.4. Global Computational Photography Market Analysis, by Offering 8.5. Global Computational Photography Market Attractiveness Analysis, by Offering 9. Global Computational Photography Market Analysis, by Region 9.1. Global Computational Photography Market Value Share Analysis, by Region 9.2. Market Size (US$ Bn) Forecast, by Region 9.3. Global Computational Photography Market Attractiveness Analysis, by Region 10. North America Computational Photography Market Analysis 10.1. Key Findings 10.2. North America Computational Photography Market Overview 10.3. North America Computational Photography Market Value Share Analysis, by Application 10.4. North America Computational Photography Market Forecast, by Application 10.4.1. Standalone Camera 10.4.2. Smartphone Camera 10.4.3. Machine Vision 10.5. North America Computational Photography Market Value Share Analysis, by Type 10.6. North America Computational Photography Market Forecast, by Type 10.6.1. 16-Lens Cameras 10.6.2. Single- and Dual-Lens Cameras 10.7. North America Computational Photography Market Value Share Analysis, by Offering 10.8. North America Computational Photography Market Forecast, by Offering 10.8.1. Software 10.8.2. Camera Module 10.9. North America Computational Photography Market Value Share Analysis, by Country 10.10. North America Computational Photography Market Forecast, by Country 10.10.1. U.S. 10.10.2. Canada 10.11. North America Computational Photography Market Analysis, by Country 10.12. U.S. Computational Photography Market Forecast, by Application 10.12.1. Standalone Camera 10.12.2. Smartphone Camera 10.12.3. Machine Vision 10.13. U.S. Computational Photography Market Forecast, by Type 10.13.1. 16-Lens Cameras 10.13.2. Single- and Dual-Lens Cameras 10.14. U.S. Computational Photography Market Forecast, by Offering 10.14.1. Software 10.14.2. Camera Module 10.15. Canada Computational Photography Market Forecast, by Application 10.15.1. Standalone Camera 10.15.2. Smartphone Camera 10.15.3. Machine Vision 10.16. Canada Computational Photography Market Forecast, by Type 10.16.1. 16-Lens Cameras 10.16.2. Single- and Dual-Lens Cameras 10.17. Canada Computational Photography Market Forecast, by Offering 10.17.1. Software 10.17.2. Camera Module 10.18. North America Computational Photography Market Attractiveness Analysis 10.18.1. By Application 10.18.2. By Type 10.18.3. By Offering 10.19. PEST Analysis 11. Europe Computational Photography Market Analysis 11.1. Key Findings 11.2. Europe Computational Photography Market Overview 11.3. Europe Computational Photography Market Value Share Analysis, by Application 11.4. Europe Computational Photography Market Forecast, by Application 11.4.1. Standalone Camera 11.4.2. Smartphone Camera 11.4.3. Machine Vision 11.5. Europe Computational Photography Market Value Share Analysis, by Type 11.6. Europe Computational Photography Market Forecast, by Type 11.6.1. 16-Lens Cameras 11.6.2. Single- and Dual-Lens Cameras 11.7. Europe Computational Photography Market Value Share Analysis, by Offering 11.8. Europe Computational Photography Market Forecast, by Offering 11.8.1. Software 11.8.2. Camera Module 11.9. Europe Computational Photography Market Value Share Analysis, by Country 11.10. Europe Computational Photography Market Forecast, by Country 11.10.1.1. Germany 11.10.1.2. U.K. 11.10.1.3. France 11.10.1.4. Italy 11.10.1.5. Spain 11.10.1.6. Rest of Europe 11.11. Europe Computational Photography Market Analysis, by Country/ Sub-region 11.12. Germany Computational Photography Market Forecast, by Application 11.12.1. Standalone Camera 11.12.2. Smartphone Camera 11.12.3. Machine Vision 11.13. Germany Computational Photography Market Forecast, by Type 11.13.1. 16-Lens Cameras 11.13.2. Single- and Dual-Lens Cameras 11.14. Germany Computational Photography Market Forecast, by Offering 11.14.1. Software 11.14.2. Camera Module 11.15. U.K. Computational Photography Market Forecast, by Application 11.15.1. Standalone Camera 11.15.2. Smartphone Camera 11.15.3. Machine Vision 11.16. U.K. Computational Photography Market Forecast, by Type 11.16.1. 16-Lens Cameras 11.16.2. Single- and Dual-Lens Cameras 11.17. U.K. Computational Photography Market Forecast, by Offering 11.17.1. Software 11.17.2. Camera Module 11.18. France Computational Photography Market Forecast, by Application 11.18.1. Standalone Camera 11.18.2. Smartphone Camera 11.18.3. Machine Vision 11.19. France Computational Photography Market Forecast, by Type 11.19.1. 16-Lens Cameras 11.19.2. Single- and Dual-Lens Cameras 11.20. France Computational Photography Market Forecast, by Offering 11.20.1. Software 11.20.2. Camera Module 11.21. Italy Computational Photography Market Forecast, by Application 11.21.1. Standalone Camera 11.21.2. Smartphone Camera 11.21.3. Machine Vision 11.22. Italy Computational Photography Market Forecast, by Type 11.22.1. 16-Lens Cameras 11.22.2. Single- and Dual-Lens Cameras 11.23. Italy Computational Photography Market Forecast, by Offering 11.23.1. Software 11.23.2. Camera Module 11.24. Spain Computational Photography Market Forecast, by Application 11.24.1. Standalone Camera 11.24.2. Smartphone Camera 11.24.3. Machine Vision 11.25. Spain Computational Photography Market Forecast, by Type 11.25.1. 16-Lens Cameras 11.25.2. Single- and Dual-Lens Cameras 11.26. Spain Computational Photography Market Forecast, by Offering 11.26.1. Software 11.26.2. Camera Module 11.26.3. Telecommunications 11.26.4. Retail and eCommerce 11.26.5. Manufacturing 11.26.6. Others 11.27. Rest of Europe Computational Photography Market Forecast, by Application 11.27.1. Standalone Camera 11.27.2. Smartphone Camera 11.27.3. Machine Vision 11.28. Rest of Europe Computational Photography Market Forecast, by Type 11.28.1. 16-Lens Cameras 11.28.2. Single- and Dual-Lens Cameras 11.29. Rest of Europe Computational Photography Market Forecast, by Offering 11.29.1. Software 11.29.2. Camera Module 11.30. Europe Computational Photography Market Attractiveness Analysis 11.30.1. By Application 11.30.2. By Type 11.30.3. By Offering 11.31. PEST Analysis 12. Asia Pacific Computational Photography Market Analysis 12.1. Key Findings 12.2. Asia Pacific Computational Photography Market Overview 12.3. Asia Pacific Computational Photography Market Value Share Analysis, by Application 12.4. Asia Pacific Computational Photography Market Forecast, by Application 12.4.1. Standalone Camera 12.4.2. Smartphone Camera 12.4.3. Machine Vision 12.5. Asia Pacific Computational Photography Market Value Share Analysis, by Type 12.6. Asia Pacific Computational Photography Market Forecast, by Type 12.6.1. 16-Lens Cameras 12.6.2. Single- and Dual-Lens Cameras 12.7. Asia Pacific Computational Photography Market Value Share Analysis, by Offering 12.8. Asia Pacific Computational Photography Market Forecast, by Offering 12.8.1. Software 12.8.2. Camera Module 12.9. Asia Pacific Computational Photography Market Value Share Analysis, by Country 12.10. Asia Pacific Computational Photography Market Forecast, by Country 12.10.1. China 12.10.2. India 12.10.3. Japan 12.10.4. ASEAN 12.10.5. Rest of Asia Pacific 12.11. Asia Pacific Computational Photography Market Analysis, by Country/ Sub-region 12.12. China Computational Photography Market Forecast, by Application 12.12.1. Standalone Camera 12.12.2. Smartphone Camera 12.12.3. Machine Vision 12.13. China Computational Photography Market Forecast, by Type 12.13.1. 16-Lens Cameras 12.13.2. Single- and Dual-Lens Cameras 12.14. China Computational Photography Market Forecast, by Offering 12.14.1. Software 12.14.2. Camera Module 12.15. India Computational Photography Market Forecast, by Application 12.15.1. Standalone Camera 12.15.2. Smartphone Camera 12.15.3. Machine Vision 12.16. India Computational Photography Market Forecast, by Type 12.16.1. 16-Lens Cameras 12.16.2. Single- and Dual-Lens Cameras 12.17. India Computational Photography Market Forecast, by Offering 12.17.1. Software 12.17.2. Camera Module 12.17.3. Telecommunications 12.17.4. Retail and eCommerce 12.17.5. Manufacturing 12.17.6. Others 12.18. Japan Computational Photography Market Forecast, by Application 12.18.1. Standalone Camera 12.18.2. Smartphone Camera 12.18.3. Machine Vision 12.19. Japan Computational Photography Market Forecast, by Type 12.19.1. 16-Lens Cameras 12.19.2. Single- and Dual-Lens Cameras 12.20. Japan Computational Photography Market Forecast, by Offering 12.20.1. Software 12.20.2. Camera Module 12.21. ASEAN Computational Photography Market Forecast, by Application 12.21.1. Standalone Camera 12.21.2. Smartphone Camera 12.21.3. Machine Vision 12.22. ASEAN Computational Photography Market Forecast, by Type 12.22.1. 16-Lens Cameras 12.22.2. Single- and Dual-Lens Cameras 12.23. ASEAN Computational Photography Market Forecast, by Offering 12.23.1. Software 12.23.2. Camera Module 12.24. Rest of Asia Pacific Computational Photography Market Forecast, by Application 12.24.1. Standalone Camera 12.24.2. Smartphone Camera 12.24.3. Machine Vision 12.25. Rest of Asia Pacific Computational Photography Market Forecast, by Type 12.25.1. 16-Lens Cameras 12.25.2. Single- and Dual-Lens Cameras 12.26. Rest of Asia Pacific Computational Photography Market Forecast, by Offering 12.26.1. Software 12.26.2. Camera Module 12.27. Asia Pacific Computational Photography Market Attractiveness Analysis 12.27.1. By Application 12.27.2. By Type 12.27.3. By Offering 12.28. PEST Analysis 13. Middle East & Africa Computational Photography Market Analysis 13.1. Key Findings 13.2. Middle East & Africa Computational Photography Market Overview 13.3. Middle East & Africa Computational Photography Market Value Share Analysis, by Application 13.4. Middle East & Africa Computational Photography Market Forecast, by Application 13.4.1. Standalone Camera 13.4.2. Smartphone Camera 13.4.3. Machine Vision 13.5. Middle East & Africa Computational Photography Market Value Share Analysis, by Type 13.6. Middle East & Africa Computational Photography Market Forecast, by Type 13.6.1. 16-Lens Cameras 13.6.2. Single- and Dual-Lens Cameras 13.7. Middle East & Africa Computational Photography Market Value Share Analysis, by Offering 13.8. Middle East & Africa Computational Photography Market Forecast, by Offering 13.8.1. Software 13.8.2. Camera Module 13.9. Middle East & Africa Computational Photography Market Value Share Analysis, by Country 13.10. Middle East & Africa Computational Photography Market Forecast, by Country 13.10.1. GCC 13.10.2. South Africa 13.10.3. Rest of Middle East & Africa 13.11. Middle East & Africa Computational Photography Market Analysis, by Country/ Sub-region 13.12. GCC Computational Photography Market Forecast, by Application 13.12.1. Standalone Camera 13.12.2. Smartphone Camera 13.12.3. Machine Vision 13.13. GCC Computational Photography Market Forecast, by Type 13.13.1. 16-Lens Cameras 13.13.2. Single- and Dual-Lens Cameras 13.14. GCC Computational Photography Market Forecast, by Offering 13.14.1. Software 13.14.2. Camera Module 13.15. South Africa Computational Photography Market Forecast, by Application 13.15.1. Standalone Camera 13.15.2. Smartphone Camera 13.15.3. Machine Vision 13.16. South Africa Computational Photography Market Forecast, by Type 13.16.1. 16-Lens Cameras 13.16.2. Single- and Dual-Lens Cameras 13.17. South Africa Computational Photography Market Forecast, by Offering 13.17.1. Software 13.17.2. Camera Module 13.18. Rest of Middle East & Africa Computational Photography Market Forecast, by Application 13.18.1. Standalone Camera 13.18.2. Smartphone Camera 13.18.3. Machine Vision 13.19. Rest of Middle East & Africa Computational Photography Market Forecast, by Type 13.19.1. 16-Lens Cameras 13.19.2. Single- and Dual-Lens Cameras 13.20. Rest of Middle East & Africa Computational Photography Market Forecast, by Offering 13.20.1. Software 13.20.2. Camera Module 13.21. Middle East & Africa Computational Photography Market Attractiveness Analysis 13.21.1. By Application 13.21.2. By Type 13.21.3. By Offering 13.22. PEST Analysis 14. Latin America Computational Photography Market Analysis 14.1. Key Findings 14.2. Latin America Computational Photography Market Overview 14.3. Latin America Computational Photography Market Value Share Analysis, by Application 14.4. Latin America Computational Photography Market Forecast, by Application 14.4.1. Standalone Camera 14.4.2. Smartphone Camera 14.4.3. Machine Vision 14.5. Latin America Computational Photography Market Value Share Analysis, by Type 14.6. Latin America Computational Photography Market Forecast, by Type 14.6.1. 16-Lens Cameras 14.6.2. Single- and Dual-Lens Cameras 14.7. Latin America Computational Photography Market Value Share Analysis, by Offering 14.8. Latin America Computational Photography Market Forecast, by Offering 14.8.1. Software 14.8.2. Camera Module 14.9. Latin America Computational Photography Market Value Share Analysis, by Country 14.10. Latin America Computational Photography Market Forecast, by Country 14.10.1. Brazil 14.10.2. Mexico 14.10.3. Rest of Latin America 14.11. Latin America Computational Photography Market Analysis, by Country/ Sub-region 14.12. Brazil Computational Photography Market Forecast, by Application 14.12.1. Standalone Camera 14.12.2. Smartphone Camera 14.12.3. Machine Vision 14.13. Brazil Computational Photography Market Forecast, by Type 14.13.1. 16-Lens Cameras 14.13.2. Single- and Dual-Lens Cameras 14.14. Brazil Computational Photography Market Forecast, by Offering 14.14.1. Software 14.14.2. Camera Module 14.15. Mexico Computational Photography Market Forecast, by Application 14.15.1. Standalone Camera 14.15.2. Smartphone Camera 14.15.3. Machine Vision 14.16. Mexico Computational Photography Market Forecast, by Type 14.16.1. 16-Lens Cameras 14.16.2. Single- and Dual-Lens Cameras 14.17. Mexico Computational Photography Market Forecast, by Offering 14.17.1. Software 14.17.2. Camera Module 14.18. Rest of Latin America Computational Photography Market Forecast, by Application 14.18.1. Standalone Camera 14.18.2. Smartphone Camera 14.18.3. Machine Vision 14.19. Rest of Latin America Computational Photography Market Forecast, by Type 14.19.1. 16-Lens Cameras 14.19.2. Single- and Dual-Lens Cameras 14.20. Rest of Latin America Computational Photography Market Forecast, by Offering 14.20.1. Software 14.20.2. Camera Module 14.21. Latin America Computational Photography Market Attractiveness Analysis 14.21.1. By Application 14.21.2. By Type 14.21.3. By Offering 14.22. PEST Analysis 15. Company Profiles 15.1. Market Share Analysis, by Company 15.2. Competition Matrix 15.3. Company Profiles: Key Players 15.3.1. Alphabet 15.3.1.1. Company Overview 15.3.1.2. Financial Overview 15.3.1.3. Business Strategy 15.3.1.4. Recent Developments 15.3.1.5. Manufacturing Footprint 15.3.2. Apple 15.3.3. Qualcomm Technologies 15.3.4. Samsung Electronics 15.3.5. Nvidia 15.3.6. Lytro 15.3.7. Nikon 15.3.8. Canon 15.3.9. Sony 15.3.10. Light 15.3.11. HTC 15.3.12. Pelican Imaging 15.3.13. On Semiconductors 15.3.14. Almalence 15.3.15. Affinity Media 15.3.16. Xperi 16. Primary Key Insights